Prosiding SISFOTEK

Rancang Bangun Sistem Informasi Inventaris Barang di Gudang Berbasis Web Pada PT.XYZ

2023-10-17T10:11:42+00:00

PT. XYZ is a company engaged in the field of trading in goods, whose main activity is recording stock in and out of goods in
warehouses, currently still using Microsoft Excel. Along with the development of the company, activity and the number of
transactions also continues to increase, recording using Microsoft Excel is felt lacking because of frequent delays and other
errors or human errors. Another problem is regarding the inaccurate warehouse design, which makes it difficult to find
goods. The purpose of this research is to overcome the problems that arise and expedite the process of recording data on
goods entering or leaving the warehouse, searching for goods, making final reports, archiving, and data backup. In this
study, the authors will use the prototype method which has three stages, namely Listen to Customer, Build and Revise Mockup, and Customer Test Drives mock-up. The results of this study are able to overcome the problems that occur in recording
with Microsoft Excel and warehouse design. Utilization of a web-based inventory information system with this database is
proven to be able to provide solutions to problems in inventory. It can be used as an integrated system for collecting, storing,
searching for goods, and processing data, as well as reporting.

Aplikasi Pembuatan Form Ekspor Pajak Berbasis Web Di PT. XYZ

2023-10-17T10:20:10+00:00

PT. XYZ Indonesia is a subsidiary of M Inc which operates in the fashion doll sector which produces children's toys such as Barbie dolls and Hot Wheels toy cars. This company still uses Microsoft Excel to create Tax Export Forms, but this system still has weaknesses because it takes a long time and is less efficient. The aim of this research is to determine system constraints and the solutions needed to overcome these constraints. The research was conducted using the SDLC or Software Development Life Cycle methodology with a waterfall model. The data collection techniques used were literature studies, field studies and interviews. The result of the research carried out is the design of a Web-Based Export Tax Form application using the Asp.Net MVC framework. With this system it is hoped that it can improve the performance of Finance staff.

Sistem Informasi Pemesanan dan Peningkatan Promosi pada Toko Thytashop

2023-10-17T10:34:40+00:00

Thytashop is a shop that sells traditional Toraja clothing, which is located on the Toraja-Mamasa axis road, precisely in Belau, Masanda subdistrict, Tana Toraja district. The ordering system at Thytashop is not yet computerized, so it still uses a manual system. The promotion system also only uses social media, namely Facebook and confirms orders via WhatsApp. Bookkeeping and transactions are still physical which can result in data being vulnerable to problems such as being damaged or scattered. The features built by researchers are promotional and best seller features in order to increase consumer attraction when visiting Thytashop stores. The system design used in this research is Unified Modeling Language (UML), which consists of use case diagrams, activity diagrams, sequence diagrams, and class diagrams. The database management uses mysql php myadmin and then this system will be built using the Hypertext Preprocessor (PHP) programming language. The result of this research is the creation of an information system website built for placing orders, transactions as well as promotional media which is expected to make it easier for business owners and managers to provide better service to customers

Penerapan Customer Relationship Management (CRM) Dalam Meningkatkan Kualitas Layanan Pada Toko Yayyshop

2023-10-17T10:54:42+00:00

Yayyshop shop is a business engaged in selling cosmetics and skincare. The yayyshop shop is located at Bumi Pratama Residance Jl. Tamangapa Raya No.3 Bangkala Village, Antang, Manggala District. Problems arise from online marketing because many customers complain about the services provided, such as slow responses, products not being available, slow complaint handling and less than optimal admin performance. The had a negative impact on the store, including reduced customer loyalty and increased cancellation of product orders. Yayyshop shops also don’t have a system to manage and store transaction data, customer data and sales reports, so the process is still manual and takes quite a long time. The purpose of this research is to build a system that can run its business processes and improve the quality of service to customers by implementing a business strategy, namely CRM (Customer Relationship Management). Customer Relationship Management is a comprehensive strategy for stores so that the life cycle of each customer can be used optimally. The result of implementing Customer Relationship Management (CRM) on the Yayyshop shop website are suitable for use, with an answer percentage of 80% of testers agreeing with the display of information on the website, 70% strongly agreeing with the ease of use of menus and features, 70% using this system is overall satisfactory.

Penerapan Algoritme Kriptografi RC6 Untuk Mengamankan File Penjualan Dan Gambar Produk Alisan

2023-10-17T19:10:23+00:00

Problems that commonly occurred in this period were that the sales data for Alisan products in several stores was falsified and there were quite large differences that did not match the reported data, as well as the large number of fake product images which could damage the image of the original Alisan products. One of the main problems faced in developing e-commerce web applications is the vulnerability of sales data and product images to security threats, such as hacking and data theft. The aim of this research is to create an application that implements the RC6 encryption algorithm to protect web-based Alisan product sales files and product images. This research aims to fill this gap by focusing on the effectiveness of the Rivest Code 6 (RC6) algorithm in protecting critical transactional and visual data in an e-commerce context. In addition, this research examines the impact of RC6 implementation on system performance and compares it with other encryption methods commonly used in web applications. Therefore, this research is expected to provide valuable insights for stakeholders in developing better data security solutions for web-based businesses. Applications are evaluated and planned with user acceptance testing (UAT). The results of application testing showed that the average size of the encryption process was 146,878.6 bytes and the processing time was 3.576291 MS and the average size of the decryption process was 146,854.6 bytes and the processing time was 2.8220591 MS. Test results from 26 UAT respondents, 89.1% agreed that the entire implementation of the RC6 algorithm can be used by Alisan employees to protect sales report files and Alisan product image files easily and safely.

Implikasi Kewenangan Mendagri Dalam Membatalkan Perda Pasca Putusan Mahkamah Konstitusi Republik Indonesia

2023-10-17T20:12:56+00:00

The basic problem of this research is how judges consider and the legal implications in decisions regarding the revocation of the Minister of Home Affairs' authority in canceling Regency/City Regional Regulations and this type of research uses a type of library research which is also called library research, namely research that emphasizes the source of information from legal books, journals and literature related or relevant to the object of study. The data sources for this research come from primary legal materials. This research comes from reading literature, including reading books, historical manuscripts, mass media reading sources and other reading sources. The results of this research show that the review of statutory regulations under the law is within the power of the Judiciary. This can be seen constitutionally that the Court Agung has the authority to review statutory regulations under the Law against this Law as a form of implementation of the mandate of Law Number 48 of 2009 concerning Judicial Power which replaces Law Number 4 of 2004 in Article 20 paragraph (2) stated, “The Supreme Court has the authority to: b. test the statutory regulations under the law against the law”. The existence of judicial review in a rule of law state is one of the conditions for the establishment of the rule of law itself, as stated in Article 1 paragraph (3) of the 1945 Constitution.

Efektivitas Absensi Berbasis Teknologi Fingerprint Dalam Upaya Peningkatan Kinerja Aparatur Desa Tanah Towa

2023-10-17T20:18:47+00:00

This research contains field research that examines the effectiveness of attendance based on fingerprint technology in efforts to improve the performance of Tanah Towa village officials. This research aims to examine the fingerprint electronic attendance process in improving the performance of Tanah Towa village officials and the effectiveness of technology-based attendance in efforts to improve the performance of Tanah Towa village officials. In this research the author uses a qualitative approach, using research strategies and techniques to understand society by collecting as many in-depth facts as possible, the data is presented in verbal form. The conclusion of this research proves that the existence of electronic-based attendance used by Tanah Towa village really helps improve the performance of Tanah Towa village officials, although in the implementation process there are obstacles, but with the passage of time and commitment to efforts to improve the performance of the Tanah Towa village head these obstacles can be achieved. resolved well.

Penerapan Teknologi Absensi Online Sebagai Implikasi E-Government dalam Optimalisasi Manajemen Kehadiran Guru

2023-10-17T20:22:20+00:00

This research discusses the application of online attendance technology as part of the implementation of e-government in optimizing teacher attendance management. The aim of this research is to analyze the implementation of online attendance which is reviewed in three aspects including support, capacity and value. The method used is descriptive qualitative with cross-checking data analysis which includes interviews, observation and document review. The research results show that in the support aspect, the use of the online attendance application is supported by a regional secretariat circular which requires ASNs to use the attendance application, including teachers. In the capacity aspect, the teachers are able to use the application proficiently, this is because previous socialization has been carried out. In the value aspect, it can be said that implementing online attendance not only makes the process of recording attendance easier but also increases discipline. Implementing online attendance can support attendance management and improve discipline

Implementasi UU Pemilu dalam Mempertahankan Keterwakilan Perempuan Paling Sedikit 30% pada Pencalonan DPR dan DPRD

2023-10-17T20:26:21+00:00

Since the 2014 General Election, Indonesia has enacted rules on female representation with a minimum quota of 30 percent for legislative candidates and 30 percent women in the leadership of political parties as a form of affirmative action. These rules are claimed to have successfully encouraged an increase in the number of women's representation at the national level, although women's political participation in legislative bodies at the provincial and district levels generally remains low. Therefore, it is important to continue supporting the women's representation movement. We must ensure that women's rights are recognized and respected, that access to education, health, and economic opportunities increases, and that women have an equal role in decision-making at all levels. We must also continue to support and strengthen women's institutions and non-governmental organizations that advocate for gender equality, especially in achieving 30 percent female representation in parliamentary institutions. This research is descriptive in nature, focusing on uncovering a problem or situation as it is and providing an objective overview of the researched object. The research uses a normative doctrinal approach. Secondary data sources are used in this research, and data collection techniques include literature review or library research, which involves searching for and gathering relevant data and classifying it based on the juridical perspective found in literature and academic sources.

Penerapan E-Government Dalam Peningkatan Kinerja Pegawai (Studi Kasus Aplikasi Bipang di Kelurahan Pattunuang Kota Makassar)

2023-10-17T20:31:10+00:00

The implementation of E-Government or electronic government has become an integral part of efforts to modernize public administration in various countries, especially in Indonesia. This study aims to determine the application of the E Government, especially through the Bipang application, in improving employee performance in Pattunuang Village, Makassar City. This type of research uses qualitative descriptive with a case study approach, namely collecting data through interviews, surveys, observations and document analysis related to the implementation of Bipang. The results of this research reveal several important findings. First, the implementation of Bipang has resulted in increased efficiency in the administrative process in Pattunuang Subdistrict, seen from the quality of employee performance, which is very influential because of better employee work patterns, in terms of quantity of employee performance in implementing e-government to This Bipang application can be seen from the process of completing work always on time according to the workload given by the leadership so that good cooperation is built in improving employee performance. Judging from the punctuality, it was found that Pattunuang sub-district employees always use the Bipang application in filling out absenteeism based on the location where they work. However, there are several obstacles that were also identified in this research, namely the need to update the system and the availability of infrastructure such as network access must be adequate in this Bipang application system. Apart from that, it is still needed to exercise additional and technical support to maximize the benefits of the Bipang application. In order to improve employee performance and the effectiveness of E-Government in Pattunuang District, the proposed recommendations include increasing training for employees, improving data security, and active promotion of the Bipang application to the public.

Penerapan E-Government Melalui Program Dottorotta Di Kota Makassar

2023-10-17T20:36:49+00:00

The aim of the research is to look at Regional Government Innovation in Health Services through the Home Care Program
(Dottorotta) at the Tamangapa Community Health Center, Makassar City. The amount of information in this research was 5
(five) people. This research uses qualitative research. The theory used in this research is Rogers' theory based on Relative
Advantages, Conformity, and Complexity. The research results show that (a) Relative Advantage, from the results of innovation.
Community home care is easier to access health services without having to go to the hospital even outside working hours
because the service is 24 hours. (b) Compatibility, providing home care services in accordance with appropriate invitation
regulations. Actions for checking home care services are running according to existing norms. (c) The complexity of home care
innovation, namely 24 hour service when people need service in certain situations such as in the middle of the night but from
home care providers who are not ready, this will certainly make home care innovation difficult. And public understanding of
health service programs is still lacking. (d) The facilities and infrastructure at the Tamangapa Community Health Center are
adequate so that the implementation of the Home Care (Dottorotta) innovation can run smoothly and seamlessly.

Strategi Hukum Preventif dalam Meningkatkan Perlindungan Anak di Era Digital

2023-10-17T20:42:47+00:00

Technology advancement is inevitable in this life. The role of parents in supervising and directing the use of children's technology is very important. The purpose of this study is to determine preventive legal strategies to improve child protection in the digital age and the role of parents in Law No. 35 of 2014 on Child Protection in the digital age. The type of research used is qualitative research. The author uses a normative-juridical and sociological approach. In this study, the key informants are parents of children in Paccinongang Village, Somba Opu District, Gowa Regency. Data collection will be carried out using four methods, namely interviews, observations, and library research. The results of this study found that there are several preventive legal strategies that can be used, including the formulation and updating of regulations and digital literacy education in schools, as well as the role of parents according to Law No. 35 of 2014 on Child Protection, which is very important in maintaining and protecting the rights of children in Indonesia. This law brings relevant basic principles that can be applied in the context of child protection in the digital world. The researcher can conclude that preventive legal strategies, such as the development and updating of relevant regulations, are important steps in identifying potential risks and threats to children in the digital age. Digital literacy education in schools is a step in preparing children to face the increasingly complex digital world. The role of parents in child protection in the digital age is also essential. They must ensure the safety of children in their use of technology, protect their privacy, and provide guidance on online ethics and good behavior.

Peran dan Tanggung Jawab Notaris/PPAT Terhadap Pembuatan Akta Jual Beli

2023-10-17T20:49:02+00:00

Notary and PPAT are the world of theory and practice. Where a notary has authority and responsibility that will continue to attach to him even if the notary has retired. In making authentic deeds, Notaries are ordinary people who sometimes make mistakes or mistakes which can cause losses to the parties, whether intentionally or unintentionally. If something like this happens, is the notary obliged to take responsibility? And to what extent are the roles and responsibilities of notaries as public officials in making authentic deeds in accordance with Law Number 30 of 2004 concerning the Position of Notaries in conjunction with Law Number 2 of 2014 concerning the Position of Notaries? The type of research that the author uses in preparing this legal writing is library legal research, this type of research is also called normative legal research. If the notary makes mistakes and makes negligence in making an authentic deed, then the notary can be held responsible for all the mistakes he made from a civil perspective, namely paying compensation, then responsibility from an administrative perspective, if proven to have made a mistake, he can be subject to sanctions in the form of a written warning, temporary dismissal, dishonorable dismissal, whereas from the perspective of criminal law, if it is proven that you intentionally and knowingly made and collaborated in the making and signing of a fake deed, you will be charged with the crime of being a part of deed falsification.

Penerapan Customer Relationship Management (CRM) Pada Pemasaran Sparepart Mobil Dan Motor Pada Toko Fajar 88 Berbasis Web

2023-10-17T11:06:29+00:00

88 Stores in finding new customers and retaining their customers makes it difficult for their business to develop. The purpose of this research is to help owners improve their business and manage data such as customer data, order data, FeedBack, and stock items as well as help customers find out what products are available at the Fajar 88 store. The research design used is UML (Unified Modeling Language), which is designed in a structured manner consisting of use case diagrams, activity diagrams sequence diagrams and class diagrams. With the method of collecting observational data. The results of this study are the application of Customer Relationship Management (CRM) in Marketing of Car and Motorcycle Spare Parts at the Web Based Fajar 88 Store which can assist customers in accessing information about the products being sold and in placing product orders, as well as on the Fajar 88 store making it easier management of information and marketing data, how to acquire new customers to retain their customers to become loyal customers.

Sistem Pakar Diagnosa Penyakit Awal Tuberkulosis (TB) Menggunakan Metode Dempster Shafer

2023-10-17T11:12:10+00:00

Tuberculosis (TB) is one of the most dangerous diseases in Indonesia. The risk of death is caused by the presence of drug resistant bacteria. Treatment lasts quite a long time at least 6 months, after the doctor evaluate whether to continue or stop, because the long treatment often causes patients to abandon treatment or take treatment irregularly, it's very deadly makes the germs become immune so that they cannot be treated. The increasing number of tuberculosis patients in Indonesia is caused by the large number of poor people who lead unhealthy lifestyles and the lack of information provided to the public about tuberculosis.To overcome the existing problems and to increase the knowledge of ordinary people about Tuberculosis, an expert system is made whose knowledge base taken directly from the expertise of certain people transferred in a computer.This TB diagnosis expert system has been successfully built by applying the dempster-shafer method and can provide disease information as well as prevention and treatment.After manual calculations on the Dempster-Shafer method, a confidence level of 0.57 or 50% of the calculation results in the case of Lung TB disease was obtained.

Sistem Pendukung Keputusan Menentukan Kelayakan Calon Pengantin Dengan Metode SAW di Kabupaten Pasangkayu

2023-10-17T11:27:44+00:00

The rate of early marriage in Pasangkayu Regency has increased to 14.68%, making it occupy first position in West Sulawesi. This resulted in the DP3AP2KB of Pasangkayu Regency working hard in granting marriage permits, even though the selection process carried out by the DP3AP2KB of Pasangkayu Regency was still manual and not properly computerized. To overcome this, it is necessary to build a system to streamline the selection process for prospective brides and grooms who are well computerized. This system will utilize the Decision Support System (SPK) process using the Simple Additive Weighting (SAW) method which focuses on six criteria, namely age, employment, education, parental permission letter, SKBS, and tetanus injection. The output produced is in the form of a ranking table which will make it easier to determine the suitability of prospective brides and grooms. The results of this research show that 3 prospective brides (6%) were declared "Very Eligible" for marriage with a reference value between 0.850 to 1.000; Furthermore, 29 prospective brides (58%) were declared "Suitable" for marriage with a reference value between 0.650 to 0.849 and 18 prospective brides (36%) were declared "Considering" for marriage with a reference value between 0.000 to 0.649.

Perancangan Aplikasi SIGAB pada Polresta Banjarmasin Berbasis Sistem Informasi Geografis Mobile Android

2023-10-17T11:36:03+00:00

This study presents the design and development of the SIGAB Application based on the Android Mobile Geographic Information System to support the Banjarmasin City Police in maintaining security, order, and public services. By utilizing Android mobile technology and basic maps using Google Maps. The SIGAB Application can be easily and quickly accessed by field officers. This allows them to respond to incidents more quickly and efficiently. Enterprise Architecture Planning (EAP) was chosen as the appropriate methodology for the development of the SIGAB Application. The EAP process involves seven blocks, each constructed through four stages: the Planning Initialization stage, the current condition assessment stage (business and system modeling, and current technology), the Future Enterprise Plan review stage (data architecture, application architecture, and technology architecture), and finally, the Implementation Plan stage, resulting in a Blueprint that can be used as a reference. The design of the SIGAB Application resulted in 9 database designs and 8 user interfaces for public access, 6 user interfaces for field personnel access, and 6 user interfaces for operator access at the Banjarmasin City Police. As of August 2023, the SIGAB Application has been used by 598 users with public access rights in Banjarmasin City and 774 users with access rights for members of the Banjarmasin City Police. The role of the SIGAB Application can optimize the operations of the Banjarmasin City Police and enhance the security of the Banjarmasin City area.

Sistem Pendukung Keputusan Menentukan Jenis Pestisida Nabati Untuk Hama Tanaman Kakao Menggunakan Metode Simple Additive Weighting (SAW)

2023-10-17T12:55:08+00:00

Plantation is an activity of utilizing resources carried out by humans to pruduce food, industrial raw materials, or energy sources as well as to manage their environment, including in Tana Toraja Cocoa isone of the leading commodity crops in Toraja land because this plant has an important role as a source of economic develotment and a source of income for Tana Toraja famers. Based on the conditions at the research site, so far farmers are still not precise in using and determining the types of botanical pesticides for pests on cocoa plants. Therefore, a decision support system was designed using the SAW method, in order to make it easier for farmers to make decisions about vegetable pesticides to be used. The results of this study are designing a decision support system to determine the type of botanical pesticide to eradicate pests on cocoa plants based on a website. After going through the SAW algorithm calculations, the results obtained are the best alternative after ranking, the highest value for each alternative is the best vegetable pesticide according to the pest. Who attacked.

Penentuan Status Penerima Bantuan Indonesia Pintar pada SMKN 9 Bulukumba Dengan Metode Naive Bayes

2023-10-17T13:10:09+00:00

The Smart Indonesia Program (PIP) through the Smart Indonesia Card (KIP) provides educational cash assistance to school age children (6-21 years). KIP is part of the refinement of the Poor Student Assistance Program (BSM) since the end of 2014. SMKN 9 Bulukumba is located on Jalan Pendidikan No. 57, Tritiro Village, Bontotiro District, Bulukumba Regency. This vocational school is one of the vocational schools in the Bontotiro area that received funds from the Smart Indonesia Program (PIP). The PIP target at SMKN 9 Bulukumba is still not well targeted, due to the lack of criteria for the number of dependents. Therefore, the author added the criteria for the number of dependents in the research. This research was created based on previously existing data, namely 143 training data. Using the Naive Bayes method and with 6 attributes, namely Type of Residence, Number of Dependents, Parent's Occupation, Parent's Income, and KPS Recipient. using RapidMiner's supporting tools in testing the accuracy of the Naive Bayes method. The results of accuracy testing obtained using the RapidMiner application and manual calculations obtained an accuracy of 74.00% and the resulting classification was included in the Good Classification group because the AUC value obtained from testing based on the ROC curve using the Naive Bayes method was 0.860. So, it can be concluded. that the Naive Bayes Algorithm can be applied to determine the feasibility of accepting the Smart Indonesia program for students of SMKN 9 Bulukumba

Penerapan Customer Relationship Management (CRM) pada Sistem Informasi Penjualan Bucket Berbasis Web di Toko Hadinafa Galery

2023-10-17T13:27:11+00:00

A web-based bucket sales information system with the implementation of Customer Relationship Management (CRM) is urgently needed in selling buckets at the Hadinafa Gallery store. This study aims to: (1) Build a web-based bucket sales information system by implementing Customer Relationship Management (CRM) at the Hadinafa Gallery store, (2) Implement a web-based bucket sales information system by implementing Customer Relationship Management (CRM) at te Hadinafa Gallery store. System activity design uses UML (Unified Modelling Language) which consists of 4: Use case diagram, Sequence diagram, Activity diagram, and Class diagrams. The programming languages used are PHP (PHP Hypertext Processor), MySQL, and Codeigniter4. Data collection was carried out in 3 ways, namely observation, interviews and library techniques. The results of this research are to make it easier for store owners to manage sales report data, customer data, and product data and help customers get bucket information without coming directly to the store.

Evaluasi Kinerja Dosen dengan Pendekatan Metode AHP dan BORDA

2023-10-17T13:32:35+00:00

This research aims to investigate the evaluation of faculty performance by utilizing a combined approach of the Analytic Hierarchy Process (AHP) and the Borda Method. The primary objective of this study is to develop a more structured, objective, and inclusive evaluation framework for assessing faculty performance. The AHP method is employed to address the complexity of determining the weights of evaluation criteria and sub-criteria, while the Borda Method provides a platform for various stakeholders to express their assessments in a participatory manner. This study is conducted using a qualitative research approach. Data is collected through surveys administered to students, colleagues, and administrators to provide evaluations of faculty performance based on predetermined criteria. The research results indicate that the combined approach of AHP and Borda is capable of offering a more accurate and holistic depiction of faculty performance. The AHP method assists in reducing subjectivity in weight determination, while the Borda Method facilitates the inclusion of opinions from various stakeholders.

Prediksi Kelulusan Pegawai Pemerintah Dengan Perjanjian Kerja Guru Menggunakan Metode Naive Bayes

2023-10-17T13:39:25+00:00

Recruitment and selection of ASN PNS and PPPK candidates to date has quite a high number of enthusiasts, and the selection process using the Computer Assisted Test (CAT) is the main requirement for passing the PNS or PPPK selection. Therefore, the researcher made this research using pre-existing data or called training data. Researchers used the Naïve Bayes method with 9 mutually independent attributes to determine graduation. Researchers also used Microsoft Excel and Weka supporting applications to test the accuracy of the Naïve Bayes method. Tests were carried out with 212 datasets consisting of 170 training data/training data and 42 test data/testing. The results of the Accuracy, Recall, and Precesion tests determine the graduation of Government Employees with Work Agreements (PPPK) for Teachers in Morotai Island Regency, 100% Accuracy, 100% Precision, 100% Recall, and the Area Under ROC (AUC) value is 1, which means 100% below The curve shows that the performance of the Naïve Bayes algorithm in capitalizing the classification of graduation data for Government Employees with Employment Agreements (PPPK) for Teachers in Puau Morotai Regency is very good.

Sistem Pendukung Keputusan Kelayakan Pengajuan Kredit Tunai Berdasarkan Agunan dengan Metode Electre

2023-10-17T13:48:03+00:00

This study aims to implement a decision support system on the feasibility of requesting a cash loan against collateral using the Electre method. The research methodology uses the Waterfall system development model, Research in the context focuses on efforts or actions aimed at improving the quality and performance of an organization. Data collection techniques in system design include documentation, observation, compiling questionnaires, and conducting interviews. The system processes data from the results of surveys of interested parties conducted by experts. The assessment results are processed electrically to obtain solvency results. Research results show that the decision support system on the feasibility of applying for a cash loan based on collateral using the Electre method can help companies determine the provision of credit to customers . Using this method effectively increases accuracy, efficiency and risk management in the credit decision-making process. This system brings huge benefits to financial services, customers and the entire banking industry.

Implementasi Klasifikasi Naive Bayes Dalam Memprediksi Lama Studi Mahasiswa

2023-10-17T14:07:40+00:00

Under normal conditions, undergraduate or undergraduate students from a university can complete their studies for 4 years or 8 semesters. In fact, many students complete their study period of more than 4 years. It is known that in the academic year 20XX/20XX there were 161 people who were accepted as students. Of the 161 people admitted, 100 people have completed their study period of about 4 years and the remaining 61 people have completed their studies for 5 years. Based on the problems above, this research implements a classification that can help the university predict the length of study of students who are currently studying in various study programs at the University. The method that the author presents in the classification for predicting the length of a student's study period is the Naive Bayes Algorithm. By using the Java-based Rapid Miner tool to classify graduation data. Then the implementation of data mining which is divided into 136 data training data and 25 data testing data with naive Bayes managed to obtain an accuracy rate of 82% which is also a relatively good parameter.

Implementasi Algoritma Profile Matching Untuk Kelayakan Ujian Pada Universitas Handayani Makassar

2023-10-17T14:16:00+00:00

The 1945 Constitution guarantees equal education for all Indonesian citizens, but 12 years of compulsory education is still not enough to cope with the increasing demands of the labor market. This makes it difficult for the younger generation to find jobs that match their expectations. Handayani University Makassar plays a role in helping to overcome these problems. Currently, the process of determining college eligibility is still manual and complicated. This research proposes a solution using technology through profile matching on web applications. This method determines test eligibility based on predetermined attribute weights. This helps students assess their potential before registering for the exam. The application of profile matching algorithm will also help universities identify students who are likely to pass the exam. This will speed up decision-making and improve student progression and learning outcomes. This research aims to predict students' exam eligibility using the profile match method. So that it is expected to help students achieve maximum passing standards and complete their studies on time. The application of the profile match algorithm is also expected to overcome the problem of slow decision making, help identify outstanding students, and improve student development and learning outcomes. Therefore, this research is titled "Implementation of profile comparison algorithm to assess exam eligibility".

Perancangan Aplikasi Mobile E-Voting Dengan Framework Flutter Untuk Pemilihan Ketua BEM Universitas Esa Unggul Kampus Tangerang

2023-10-17T14:22:37+00:00

In this research, accompanied by rapid technological advancements, the event of selecting the Student Executive Board (BEM) Chairman faces numerous challenges that can hinder its smooth execution. These challenges include manual voting processes, time-consuming vote counting, inadequate audit trails for voting results, and the added complexity of the Covid-19 pandemic, which has made it difficult to find solutions for conducting the elections. The researcher aims to develop a mobile E-voting application to minimize these obstacles and reduce the time and excessive paper expenditure in the execution of the Student Executive Board (BEM) Chairman elections at Esa Unggul Tangerang Campus. The design of this application utilizes the Extreme Programming (XP) methodology and employs the Dart programming language with the Flutter framework. To ensure the smooth operation of the application, a storage medium, commonly referred to as a database, is necessary. The database used in this research is called Firebase, which is a storage service created by Google that simplifies the researcher's task in developing the Mobile E-voting application. This research highlights the importance of using E-voting in elections, with the potential to expedite the process, reduce costs, enhance efficiency, and improve transparency.

Perancangan Aplikasi Mobile Android Dalam Program Mitigasi Bencana (Studi Kasus Disaster Management Center Dompet Dhuafa)

2023-10-17T14:26:43+00:00

Disasters are a series of events caused by natural and non-natural factors that result in environmental damage, loss of property, and psychological impacts. Natural disasters include earthquakes, tsunamis, volcanic eruptions, floods, droughts, and landslides, necessitating disaster mitigation efforts to minimize their effects. One such effort is the Disaster Management Center at Dompet Dhuafa, serving as the frontline in disaster response. During disaster management, Dompet Dhuafa's Disaster Management Center faces challenges such as a lack of public awareness about disaster-prone areas, a shortage of volunteer resources for disaster response, and reliance on manual reporting systems. The goal of this research is to develop an application that streamlines the reporting process for the Disaster Management Center at Dompet Dhuafa. Problem analysis in this study utilizes a fishbone diagram to identify issues, and system design employs UML diagrams, including use cases, activity diagrams, and sequence diagrams. The outcome of this research is an application that facilitates public access to information about disaster-prone areas and disaster reporting. Additionally, the application aids volunteers in reporting their activities while in the field. Black box testing is used to evaluate the application.

Klasifikasi Status Gizi Balita Menggunakan Algoritma K-Nearest Neighbor (KNN)

2023-10-17T14:32:12+00:00

Nutrition is an important component contained in food which includes carbohydrates, protein, vitamins, minerals, fat and water which are needed by the body for growth, development and maintenance which are used directly by the body to repair body tissue. Nutritional needs are an important factor in the growth and development of children, especially children aged under five years (toddlers), because what happens in the first five years determines their growth and development year after year. To achieve good growth and development, strong nutrition is needed. Assessment of the nutritional status of toddlers can be determined through human body measurements known as anthropometry. The reference standards for toddler nutritional status are Body Weight according to Age (WW/U) which describes the child's relative weight for age, Body Weight according to Height (WW/TB) which describes whether the child's weight is in accordance with his height growth and Height according to Age (TB/U) describes a child's height growth based on age. The method used to determine the nutritional status of toddlers is the KNN method, which is to find the closest distance between the evaluated data and a number of K neighbors closest to the test data. Toddler nutrition data uses 4 classifications, namely insufficient, normal, poor and more. The amount of data used in this research was 170 data with a data composition of 90% consisting of 150 training data and 10% testing data totaling 20 data. Data that is normalized using Z-Score gets an accuracy of 95%, class precision of 98.08% and class recall of 93.75%, data normalized using the min-max technique gets an accuracy of 85%, class precision of 95.00% and class recall of 79.17%, Meanwhile, KNN modeling without normalization produces an accuracy of 80%, precision of 82.4% and a class recall value of 75%.

Penerapan Metode Equivalence Partitioning Pada Pengujian Otomatis Sistem Perhitungan Dasar Pengenaan Pajak Kendaraan Dan Bea

2023-11-04T10:49:20+00:00

PT. Microdata Indonesia is a company that provides information technology consulting services, with the main focus on developing Information Technology (IT) products. The products produced aim to be solutions for various segments and institutions. Development of a basic calculation system for the imposition of motor vehicle taxes and duties in Indonesia by PT. Microdata Indonesia focuses on factors such as vehicle type, engine capacity, vehicle age, and other relevant factors. The main objective of this research is to ensure that the developed system achieves a high level of accuracy in tax calculations, with the use of automated testing methods, especially Equivalence Partitions, which divides input data into equality classes. The results of this test were that the system worked well and no errors were found in the functions tested, so it was concluded that the basic calculation system for vehicle taxes and duties that they had developed was ready to be used.

Implementasi System Kontrol Smart Room Menggunakan Perintah Bot Telegram Berbasis Internet of Things

2023-10-17T09:38:31+00:00

The development of internet technology at this time is speedy in various fields, so currently more and more people are using internet technology. One of the facts about the progress of Internet technology is the existence of the Internet of Things. This research focuses on how the Internet of Things can control lights and fans and monitor temperature remotely by utilizing the existing Telegram Bot application. Make it easier for users to control and monitor temperature, lights, and fans in the room by using the Telegram Bot indoors and outdoors. Users are connected to the internet using an Android smartphone to give commands to control lights and fans via telegram bots. NodeMCU ESP8266 must also be connected to the internet so that the whole system can run properly. for lights and fans to turn on or off. When the lights and fans comply with the command, the lights and fans will respond to the telegram bot via the telegram server, whether the lights and fans are on or off.

Game Karapan Sapi

2023-10-17T19:17:24+00:00

Nowadays, many children use Android via mobile phone devices that are played relatively quickly. In fact, it is not uncommon for the activity of playing this game to cause an addiction to continue playing the game, therefore educational alphabet games are beneficial to develop, especially for children. who is already addicted to Android. On the other hand, games function as a means of education. Android addiction often makes players forget many things and focus on the devices that support them in playing the game. One of the things they forget is culture, some of them who are familiar with games using modern technology tend to ignore games that have domestic cultural values.

Optimalisasi Data Rambu Transportasi Darat Berbasis Web Maps

2023-10-17T19:25:46+00:00

Traffic road equipment is an important component in supporting safety and smooth traffic. However, in reality, there is still a lot of road traffic equipment that is damaged and not maintained. This can endanger road users and potentially cause traffic accidents. Web maps are hosted maps usually used to display spatial information visually. Web maps can be created using various technologies, map APIs: Map APIs are a collection of functions that can be used to add maps to a website or application. online mapping software. The method chosen in this research is waterfall because each research step carried out must be sequential and structured to avoid the risk of errors in each sequence of processes carried out, maintenance of road traffic equipment needs to be carried out routinely and periodically to ensure its condition remains good and works fine. Maintenance can be done manually or using technology. Google Maps can be used to create traffic road equipment maps. These maps can be used to monitor the condition of traffic road equipment and to plan maintenance.

Perancangan Aplikasi Media Pembelajaran Seni Tari bagi Siswa Tunarungu berbasis Android

2023-10-17T19:30:15+00:00

In its implementation, teaching dance for deaf students at SLB-B YPPLB Makassar, still has obstacles, namely a complicated control process and teaching dance consistency which still uses conventional methods, namely hand clapping. So, in this research, the author makes an application as a forum for learning dance that will be used by students where there is dance introduction material, learning dance consistency exercises through visual media, and receiving feedback from the teacher. Based on questionnaires that have been filled out by students, it can be concluded that the application made is in accordance with the dance learning method and makes it easier for them in the process of learning dance tempo.

Smart Gorden Menggunakan Arduino dan Telegram

2023-10-17T19:35:48+00:00

Curtains or curtains are a part of household appliances used to block light and visibility into the house, usually placed on windows and bedroom doors. However, we often forget to open and close windows when traveling, causing the air in the house to become damp and at night visibility can penetrate the glass, attracting thieves. Therefore, this research aims to create smart curtains that can open and close automatically and be controlled remotely via smartphones. This system implementation uses a real-time clock (RTC), button limit switches, and telegrams as inputs, Arduino Uno as processor, and LCD, telegrams, and stepper motors as outputs. With three control systems: manual with buttons, using RTC timer and using Telegram application. Research results show that smart curtain systems based on the Internet of Things (IoT) can work well when the average curtain opening and closing time is 32 seconds. To check timing accuracy based on timer input, there is no delay between input timing. and time on transient system Testing with Telegram input messages showed delivery latency with an average latency of 3.5 seconds.

Perancangan Sistem Pemantauan Kelembaban Tanah,Udara dan Suhu pada Tanaman Bawang Merah Menggunakan IoT

2023-10-17T19:42:11+00:00

Shallots are one of the abundant horticultural commodities in Enrekang Regency. Even though the harvest of this plant is abundant, most of the cultivation in this area is still done manually. One of the systems that farmers need most at the moment is a plant watering system, because farmers have to maximize crop yields where the watering process is still done manually using sprinklers. Therefore, this research aims to design a monitoring system using IoT technology based on the parameters of temperature, soil humidity and air humidity. There are 3 components that will be built, namely IoT technology to collect data in real time, a web-based database application to process and store data, and a mobile application for monitoring. This research will be carried out in 4 stages: 1) preparation and coordination, 2) design and installation of tools and data collection, 3) application design, 4) publication. There are 4 control system points embedded in the fields and connected to each other with a Wireless Sensor Network system which continuously reads values from sensors. Then data from the sensor will be forwarded by the NodeMCU EPS8266 module to the firebase.com database and then displayed in the Mobile Application. The NodeMCU ESP8266 module can send data if it is connected to a Wi-Fi access point signal with a range of ±25 meters and the waiting time (delay) of the NodeMCU ESP8266 module will be greater the further the distance from the Wi-Fi access point.

Sistem Informasi Modeling Kawasan Rawan Longsor Berbasis 3 Dimensi

2023-10-17T19:47:56+00:00

The high level of losses experienced by the community caused by natural disasters is due to the lack of information obtained by the community about possible disasters that occur around it. In dealing with disasters can be done by utilizing various kinds of the latest technology such as the use of drone technology for data collection that can reach disaster areas. The purpose of this study is to model the information system of landslide-prone areas from drone photos in 3 dimensions. . The method used is photogrammetry by taking ortho photos using a mavic 2 pro type drone and secondary data of the soil layer from sondir at the location of Sapaya road, Bungaya District, Gowa Regency, South Sulawesi. The results are known that from 3-dimensional modeling it can be seen that the soil contour and the degree of slope for each area at the location are between 320 – 520 with a safe factor value below 1. Furthermore, it also appears that the location of rainwater flows can be a trigger factor for landslides so that this information can be the initial data in increasing awareness of potential landslide disasters.

Rancang Bangun Alat Buka Tutup Gorden 3 Model Menggunakan Mikrokontroler Berbasis Android

2023-10-17T19:53:02+00:00

Sunlight to change clean air is really needed in the morning and at night when you need to rest at home. Curtains, often referred to as blinds, are an important part of the home as an interior in offices, hotels, hospitals and high-rise buildings as protection from direct sunlight. Curtains are an element of the home, the office is always opened and closed, requiring energy and time to arrange them neatly. This work requires a technological innovation that helps make the work easier. The aim of the research is to speed up the work process in households or employees, office employees because in the morning after the sun shines and the sensor is exposed to light, the curtains open automatically. In the afternoon the sensor is not exposed to light, then the curtains automatically close without having to come and do it with human hands. The method used in this research is (Research & Development, R&D) with an assessment of development, namely opening curtains with three models, namely open front curtains with 2 models, namely separate right and left sides. Meanwhile, the back curtain (second layer) was controlled via Android with the Blynk application with several experimental tests carried out. The front curtains can be controlled via Android with 2 models that can be opened completely or little by little to the right or left. The research results show that the curtains can be opened and closed with control via the Android application and automatically using the LDR (Light Dependent Resistor) sensor and controlled via Android, thus providing clear information when the curtains are actually opened or closed.

Implementasi Flutter Dalam Pengembangan Aplikasi Pemesanan Sangkar Burung Berbasis Android

2023-10-17T19:59:32+00:00

In recent years, mobile technology, including the field of electronic commerce, has seen rapid growth. Bird cages have become one of the most sought-after products in the bird trading industry. However, there are several issues to consider during the ordering process, which often consume time and effort. The objective of this research is to create and develop an Android-based bird cage ordering application with a user-friendly interface that allows people to quickly and easily select and purchase bird cages. The research methodology involves identifying the requirements for aspects such as material, size, bird cage design, and shipping information. Flutter enables user interface designers to display a list of bird cages with photos and details, as well as customization options. Firebase provides backend storage for storing history, authentication, and orders. The application features include registration, login, searching for bird cages, viewing details with images, ordering, tracking orders, and logging out. By offering a variety of bird cage options, this application streamlines the bird cage ordering process. Customers can monitor the status of their orders and easily choose the most suitable one. Flutter simplifies cross-platform development. Using the Flutter framework and Firebase as the backend, users can select and order bird cages according to customer or application user needs.

Whatsapp Chatbot Autoresponder Berbasis Pencarian Artikel

2023-10-17T20:04:35+00:00

Whatsapp is a popular messaging application with more than 2 billion active users worldwide. This application is not only used by individuals, but also by business and government users. Various WhatsApp-based services have emerged for various purposes, such as customer service, information services, and government services. WhatsApp is a de facto messaging application that is not only used by individuals, but also by business and government users. Various WhatsApp-based services have emerged for various purposes and are generally managed by humans. This research designs a WhatsApp chatbot application to automate responses to incoming questions using a search mechanism in the knowledge base and forwarding them to the questioner. The knowledge base in this research was implemented using a MySQL database. This knowledge base consists of two tables, namely the question table and the answer table. The question table stores commonly asked questions, while the answer table stores the answers to these questions. In this way, answering questions can be delegated to the application and reduce human workload. The WhatsApp chatbot application can be a solution to reduce the human workload in answering questions that come in via WhatsApp. This application can be implemented for various WhatsApp-based services, such as customer service, information services and government services

Rancang Bangun Aplikasi Emergency Call Berbasis Hybrid Mobile

2023-10-17T20:08:51+00:00

Everyday life exposes us to a variety of dangerous situations that pose a threat to ourselves or others, such as robberies, accidents, etc. In this situation, we need immediate assistance. In 2013, the Tangerang Regency itself had a crime rate of 3,109, according to the Tangerang Regency Central Statistics Agency. Based on the high crime rate, the purpose of this research is to develop a Hybrid-based application system that can be accessed via Android and the website so that residents of the Tangerang district can call public service numbers and important Emergency numbers to receive assistance in the event of a crime or accident. It is anticipated that this Hybrid application will make it easier for users to contact Emergency services in the event of a crime or accident. It will be discussed how to utilize this application for Emergency needs utilizing Location-Based Services (LBS) and simple access to required public service contacts. This study aims to design and develop an application for a Hybrid-based LBS-based IONIC-based Emergency notification system for the Tangerang district

Pengembangan Aplikasi Kalla Reality Melalui Implementasi Teknologi Imersif Sebagai Media Promosi Dan Informasi Pada Bisnis Properti Hunian

2023-12-25T11:20:52+00:00

This research aims to develop the "Kalla Reality" application that integrates immersive technology (Virtual Reality and Augmented Reality) as a promotional tool and source of information in the real estate industry. The implementation of immersive technology in this application allows users to explore properties virtually, visualize details, and interact with real
estate agents, providing a more interactive and informative experience. This research involves methodological steps including literature review, user needs analysis, application prototype development, immersive technology integration, testing, and final evaluation. The "Kalla Reality" application is designed to meet the needs of increasingly discerning consumers in choosing residential properties by providing rich information and in-depth visual experiences. The results of this research are expected to provide insights into the positive contribution of immersive technology to the residential real estate business, including increasing consumer interest, sales process efficiency, and brand image enhancement. This application can also serve as an example of how immersive technology can transform marketing and information paradigms in the real estate industry and inspire further development in this field. Thus, this research reflects the role of immersive technology in enhancing consumer experiences, business efficiency, and the competitiveness of residential real estate companies in a competitive market.

Implementasi Algoritma K-Means dan Moora dalam Penentuan Prioritas Work Order PT Telkom Akses Divisi CCAN

2023-10-17T14:37:36+00:00

PT Telkom Akses is a company engaged in the construction of development and manage service network infrastructure with every movement of the field team controlled using work orders commonly known as work orders. CCAN Assurance operations still determine priorities manually so that the risk of meeting targets is quite low. This research aims to design a system by implementing the K-MEANS and MOORA algorithms to overcome the problem of meeting the targets of each work order. The method used in this research is K-MEANS to group orders into 2 priority clusters, then MOORA will rank orders in the cluster. The K-MEANS method groups work orders into 2 priority clusters (critical links and normal links) and MOORA will rank work orders from each cluster so that the Makassar CCAN division can carry out order processing systematically where orders that enter the critical link with the highest rank become the top priority. by testing the system with division members with an assessment questionnaire, the results obtained were 87% satisfaction with the use of the new system.

Clustering Data Penerimaan Mahasiswa Baru Universitas Handayani Makassar Menggunakan Algoritma K-Means

2023-10-17T14:42:47+00:00

This research aims to group new student data for the 2022 academic year at Handayani University Makassar by utilizing a data mining process using the K-Means Clustering algorithm. Implementation using Rapidminer software is used to help determine accurate values. The data used in carrying out this research consists of 4 (four) attributes, namely, school origin, average UAS (final semester exam) score, gender and chosen study program. The research process begins by selecting data and then transforming the data into a numerical group. It is hoped that the results of this research can help universities in improving appropriate promotional strategies in each study program at Handayani University, Makassar.

Penentuan Prioritas Penyewaan Armada Angkutan Crude Palm Oil (CPO) Berbasis Multi Platform Menggunakan Algoritma Electre

2023-10-17T14:51:15+00:00

CV. ABN Transport is a company providing Crude Palm Oil (CPO) transportation fleets in East Kalimantan with a fleet of seven (7) units, capable of transporting 8 tons of CPO liquid. This research aims to design a multi-platform based application that utilizes the ELECTRE algorithm to determine fleet rental priorities and the Google Maps API to obtain rental origin and destination locations and calculate mileage. The main objective is to overcome delivery schedule problems that often occur and ensure the effectiveness and efficiency of utilizing the rented fleet. This research uses the ELECTRE method to rank tank truck fleet rental priorities by collecting data through observation, interviews and literature study. The research design uses Unified Modeling Language (UML) functional modeling, including use case diagrams, activity diagrams, sequence diagrams, and class diagrams. In the application, the RESTful API architecture is used in the Laravel framework to enable easy and effective API creation and management. On the mobile side, a Model View Controller (MVC) is used in the Flutter framework and the database is implemented with MySQL. Based on the results of application testing, 8 respondents as a sample, 50% of users agreed that the application provides rental order recommendations based on the weight of the assessment criteria and helps in making prioritization decisions. Apart from that, 33.33% of respondents strongly agreed and 16.67% somewhat agreed with the statement. In conclusion, the application designed can assist CV ABN transport to determine CPO fleet rental prioritas more affectively and efficiently due to the use of the ELECTRE Algoritm and Google Maps API integraton to manage the rental of pick up location and destination.

Pengalaman Pengguna Aplikasi Konferensi Video Google Meet Selama Pandemi Covid-19: Analisis UEQ

2023-10-17T15:01:30+00:00

The Covid-19 pandemic has changed how we work, learn, and communicate. One of the key tools in responding to these challenges is video conferencing applications, such as Google Meet. This article explores user experiences with Google Meet during the Covid-19 pandemic using the User Experience Questionnaire (UEQ) method to analyze various aspects of user experience. The research steps in applying the UEQ data analysis method encompass data collection (scores) through the UEQ questionnaire, conducting descriptive analysis to identify trends and patterns in user experiences, and interpreting the results to comprehend their implications. The analysis outcomes aid researchers in summarizing user experiences, pinpointing areas for improvement, and offering pertinent recommendations. The Attractiveness variable receives a high score, reflecting a user-friendly and efficient interface. Perspicuity also obtains positive scores, indicating the ease of using the application. Efficiency and Dependability likewise achieve high scores, signifying that users perceive the application as reliable for important meetings. Stimulation and Novelty show a substantial improvement, indicating that users feel engaged and interested while using Google Meet. The UEQ analysis results provide valuable insights into how Google Meet has become an effective and satisfying solution to address the challenges individuals and organizations face during the Covid-19 pandemic. This article also discusses the implications of these findings in the context of education, work, and remote communication.

Implementasi Algoritma Hue Saturation Value (HSV) Pada Penentuan Kualitas Beras Berbasis Android

2023-10-17T15:09:08+00:00

Rice is the staple food of most Indonesian people. Rice contributes more than 22% of global energy intake. Indonesia, especially South Sulawesi is a major rice producer where rice production is around 92% of total world production 1.2 For nations in Asia. This research aims to implement the Hue Saturation Value (HSV) algorithm for extracting color features in Android-based rice quality determination. In this research there were 600 images of rice which were divided into 80% training data and 20% testing data. Training samples are used for color feature extraction by applying Red, Green and Blue (RGB) features to the Hue Saturation Value (HSV) method. Next, image identification is carried out to determine the quality of the rice using color features. From the test results using the confusion matrix at a value of K=7, precision was 82%, recall was 90%, F-1 score was 86%, and accuracy was 85%

Implementasi Algoritma Genetika Untuk Penjadwalan Ujian Pada Universitas Handayani Makassar

2023-10-17T15:23:14+00:00

This research relates to Handayani University Makassar formerly STMIK Handayani Makassar. The university offers various programs in the field of computer science and IT management. One of the main problems faced is that the preparation of the exam schedule is currently still done manually using Microsoft Excel, prone to errors and time consuming. This research aims to develop an automated system for preparing exam schedules using genetic algorithms. Genetic algorithm is a computer method that helps find optimal solutions in exam scheduling. The results of this study are expected to help improve the efficiency and accuracy of the preparation of the exam schedule at Handayani University Makassar.

Optimasi Penjadwalan Perkuliahan Pada Universitas Handayani Makassar Menggunakan Algoritma Particle Swarm Optimization

2023-10-17T15:30:35+00:00

Lesson planning is a regular task that every educational institution does right from the beginning of the semester. However, creating an optimal study schedule is quite difficult because there are many interrelated variables that require careful management. Current class scheduling at Handayani University Makassar is still done manually, including searching for empty columns and placing class schedules in those columns. The director of BAAK UHM, who was responsible for preparing the conference program, felt overwhelmed. Because the planning done so takes a lot of time. Therefore, the established course program must be regularly revised. One method considered to provide a solution to scheduling problems is swarm optimization (PSO). PSO if translated means Particle Swarm Optimization. This algorithm can solve the problem by randomly forming particles in the initial population, evaluating appropriate values, and updating particle velocities and positions. This is intended to address the issue of proper function of each particle. The data includes 225 course data plus 1 speaker's request schedule data. This study was successful in achieving a course schedule consistent with the course conditions and policies at UHM. From the test results, the lesson planning application using the PSO algorithm can provide an optimal class schedule that is consistent with the teacher's teaching schedule preferences. The calculation time used is less than 5 seconds.

Implementasi Algoritma Support Vector Learning Terhadap Analisis Sentimen Penggunaan Aplikasi Tiktok Shop Seller Center

2023-10-17T15:36:14+00:00

E-commerce is experiencing rapid growth in Indonesia, followed by the increasing popularity of the Tiktok Shop application. This research aims to conduct sentiment analysis on user reviews of the Tiktok Shop Seller Center application on the Google Play Store using the Support Vector Learning (SVM) method and Text Mining techniques. This research collects review data in Indonesian from May to July 2023. This data includes ratings, comment content and review dates. The sentiment analysis results allow grouping reviews into positive or negative, and SVM with various kernels (Linear, RBF, Polynomial, and Sigmoid) is used to classify the sentiment. This research has the potential to provide important insights into users' views of the Tiktok Shop Seller Center and contribute to the development of sentiment analysis in the context of e-commerce in Indonesia.

Analisis Data Kementrian Agama Kota Bitung Menggunakan Metode Data Science

2023-10-17T15:41:04+00:00

The Ministry of Religion (Kemenag) of the Republic of Indonesia was born on January 3 1946, the Ministry of Religion is the ministry tasked with assisting the government in the field of religion. In this research, researchers will predict the number of people for each religion in the next two years using data on the number of people from several years ago using the ARIMA Time Series forecasting method using the EView 12 application and researchers will also group places of worship based on sub-district religions using Clutering. K-Means uses the RapidMiner application to see the number of places of worship for each religion in each sub-district. The aim of this research is to help the Ministry of Religion of Bitung City in creating a dashboard to display data information and data reports about the number of people in each religion, predicting the number of people in the next two years, grouping places of worship for each religion, and the number of places of worship for each religion in the city of Bitung. The results obtained from the prediction of the number of Catholics in the city of Bitung in 2023 will be 5,563 people and in 2024 there will be 5,301 people, the predicted number of people from the Islamic religion in 2023 will be 32,768 people and in 2024 there will be 29,988 people, and the results are obtained from the prediction of the number of people from the christianity in the city of Bitung in 2023 there will be 113,242 people and in 2024 there will be 134,433 people. This produces 3 cluster models containing cluster 0 4 items, cluster 1 3 items, and cluster 2 1 items. The cluster starts from the number 0 because when discussing programming the number 0 is the first number in the numbering sequence

Analisis Sentimen Ulasan Produk di E-Commerce Bukalapak Menggunakan Natural Language Processing

2023-10-17T15:46:22+00:00

This research discusses the analysis of sentiment in product reviews on E-Commerce Bukalapak using Natural Language Processing (NLP). The study aims to fill the knowledge gap regarding the analysis of product reviews in online stores in Indonesia, specifically Bukalapak. The data used in this research were collected from various product categories, such as clothing, electronics, cosmetics, and others. The method employed in this study was the TF-IDF method to train the Naive Bayes model. The results of the research show that the Naive Bayes model trained using the TF-IDF method achieved an accuracy of 88%. This indicates that the model has good capability in predicting the sentiment of product reviews. The analysis of positive reviews reveals customer satisfaction with product quality, fast delivery, reasonable pricing, and receiving items as expected. On the other hand, the analysis of negative reviews uncovers the mismatch between customer expectations and the actual conditions regarding color, delivery, and product orders. This study contributes to a deeper understanding of sentiment analysis in product reviews on E-Commerce Bukalapak. The insights from this analysis can be utilized by Bukalapak to enhance the quality of their products and services, providing a more satisfying experience for customers.

Penerapan Metode K-Means Clustering Dalam Mengelompokkan Data Penjualan Obat pada Apotek M23

2023-10-17T18:17:09+00:00

Planning for the need for the right medicines can make the procurement of medicines efficient and effective so that the medicines can be sufficiently available as needed and can be obtained when needed. At the current M23 Pharmacy, sometimes there is a shortage or overstock of medicines. To overcome these problems a data mining method is applied by analyzing drug use to produce information that can be used as drug inventory control and planning. The method used in this study is the K-Means method. The K-Means clustering method aims to group data that has the same characteristics into the same cluster and data that has different characteristics are grouped into other clusters. As for determining the best number of clusters using the Davies Bouldin Index (DBI) method. The results of this study determined that the best number of clusters was 2 clusters, the drug data grouping consisted of cluster 1 with low drug use consisting of 144 types of drugs and cluster 2 with high drug use consisting of 6 types of drugs.

Penerapan Algoritma C4.5 , SVM Dan KNN Untuk Menentukan Rata-Rata Kredit Macet Koperasi

2023-10-17T18:45:31+00:00

problem that often occurs is the difficulty in determining the average bad credit spread across 7,823 savings and loan cooperatives in Indonesia. The main problem faced by savings and loan cooperatives is the difficulty in identifying and mitigating credit risks that can cause bad credit. Bad credit not only harms cooperatives, but can also disrupt the financial stability of cooperative members. The lack of effective tools to measure and predict credit risk makes cooperatives potentially face unnecessary losses. The aim of this research is to apply the C4.5, SVM, and KNN algorithms in determining the average non-performing loans of savings and loan cooperatives, comparing the results and performance of the three such algorithms in the context of credit risk management, and improve understanding of the use of machine learning techniques in identifying credit risk patterns that may be difficult to detect manually. The application of the C4.5 Algorithm, SVM (Support Vector Machine), and KNN (K-Nearest Neighbors) models in determining the average bad credit in the context of savings and credit cooperatives is carried out by considering the appropriate configuration. This research first collects and preprocesses data which includes credit history, income, length of membership, and other related factors from savings and loan cooperatives. Next, factor analysis and feature selection are carried out to identify the factors that most influence credit risk. The results of the three models are evaluated using various evaluation metrics, such as accuracy, precision, recall, F1-score, and AUC-ROC. The results of this research The results show that the SVM model has the highest performance in predicting credit risk, followed by the C4.5 and KNN algorithms. Careful feature selection and robust model validation are also key components in accurate credit risk assessment. Thus, the results of this research can help cooperatives better manage credit risk and make more informed decisions regarding loan approvals.

STIMATA Rule Adviser: Sistem Rekomendasi Produk e-Commerce

2023-10-17T18:52:29+00:00

A product recommendation system is a necessity for e-commerce applications in order to recommend a series of products related to a product being viewed or previously purchased by the user of the e-commerce application. This article introduces STIMATA Rule Adviser, an interactive recommendation system developed using an association rule mining approach on data streams so that the recommended products are popularity-aware, meaning they are products that are always trending, currently popular, or products that are at risk because they are no longer selling well. This system is equipped with features that allow users to interact with the recommendation list. Users can choose the level of similarity and popularity of products in the recommendation list with the product they are currently viewing. User interactions with the provided recommendations can be visually monitored through the administrator's dashboard.

Klasifikasi Kesegaran Buah Apel Menggunakan Metode Convolutional Neural Network (CNN) Berbasis Android

2023-10-17T18:57:07+00:00

Apple fruit is one of the important agricultural commodities in the farming industry. The maturity level of apple fruit is a key factor that affects its quality and shelf life. Manual determination of apple fruit maturity levels is often time-consuming and subjective. Therefore, this research aims to develop an automation system that can classify the maturity levels of apple fruit using the Convolutional Neural Network (CNN) method on the Android platform.Image data of apple fruit at various maturity levels were collected and processed in this study. A CNN model was designed, trained, and optimized using this data to identify the maturity levels of apple fruit from images. The final outcome of this research is a user-friendly Android application that can assist apple farmers in quickly and accurately classifying the maturity levels of apple fruit.The research results indicate that the CNN model can recognize the maturity levels of apple fruit with high accuracy, and the generated Android application provides easy access for users to support apple farming by enhancing efficiency in harvest management and apple processing

Uji Kinerja K-Means Clustering Menggunakan Davies-Bouldin Index Pada Pengelompokan Data Prestasi Siswa

2023-10-17T19:01:36+00:00

This research investigates how the values of clustered datasets, both normalized and non-normalized, influence the computation of Euclidean distance in the K-means algorithm. Additionally, it examines the impact of varying cluster quantities, identified through the elbow method, on the evaluation of the Davies-Bouldin Index (DBI). A dataset comprising 174 records undergoes mining using the CRISP-DM (Cross-Industry Standard Process for Data Mining) approach. In the data preparation phase, the min-max algorithm is applied to ensure that attribute values within the dataset are not diminished relative to each other. Concerning the selection of an optimal K value, the elbow method is employed. In this investigation, two K values exhibit significant mean reduction: the fourth and third cluster quantities. The DBI results for 3 clusters show a smaller value of 0.9250 compared to the DBI result for 4 clusters, which is 1.1584. The fundamental principle of evaluating the Davies-Bouldin Index is that a smaller DBI value (approaching zero but not reaching the minimum) indicates a better cluster. These findings contribute to a better understanding of the evaluation techniques involving the elbow method and Davies-Bouldin Index in clustering analysis and offer insights into the relationship between determining cluster quantities and clustering performance.

Penerapan Algoritma C4.5 dalam Mengidentifikasi Karakteristik Pasien Beresiko Diabetes

2023-10-17T19:05:59+00:00

Diabetes Mellitus is a disease characterized by an increase in glucose as well as an abnormal rise in blood sugar concentration due to insulin deficiency. The International Diabetes Federation (IDF) reports that in 2021, approximately 540 million people worldwide were affected by diabetes, and this number is expected to increase further if the general public's lack of awareness about symptoms that can trigger the diabetes disease continues. This research aims to implement the C4.5 algorithm in predicting diabetes mellitus based on acquired data. The amount of data used is 300 records, where 90% of the data serves as training data and the remaining 10% is test data. The data consists of 6 attributes: age, gender, hypertension, glucose, heart disease, and BMI (Body Mass Index). Based on Gain calculations, the Glucose attribute becomes the root of the decision tree. The tested data in this study achieved an accuracy rate of 77%, precision of 82%, and recall of 64%.

Smart Crime Prevention in Smart City Tinjauan Pemetaan dan Rekomendasi Penerapan Sistem untuk Mendukung Smart Living di Banjarmasin Smart City

2023-12-25T11:43:50+00:00

Crime in Indonesia, especially in Banjarmasin City, shows a decline between 2020-2022. However, the government must still be vigilant and maintain the safety of citizens from crime, especially in the context of its commitment to realizing a Smart City. Technological advances in Smart Cities also bring new challenges such as increased crime and security risks. This research aims to carry out mapping related to Smart Crime Prevention in the Smart City context to recommend a Smart Crime Prevention system that supports the Smart Living program in Banjarmasin Smart City. The method used is Mapping Review, which involves stages including determining research questions, selecting relevant reference sources, identifying appropriate keywords, carrying out filtering based on inclusion and exclusion criteria, and extracting and synthesizing relevant data. The results of this mapping show that the technology used in Smart Crime Prevention includes Computer Vision, Digital Image Processing, Internet of Things, Closed Circuit Television, Global Positioning System, Embedded Systems, Cloud Computing, Sensors, Big Data, Data Mining, and Artificial Intelligence. Its application includes urban environments, homes, roads, traffic, women’s safety against sexual harassment, and fire hazards and other threats. We recommend that Banjarmasin as a city that is realizing a Smart City must utilize these technologies and appropriate algorithms to minimize crime and keep citizens safe. This is important in supporting the Smart Living program in Banjarmasin City.