Implementasi Metode Trend Projection pada Sistem Prediksi Penggunaan Consumable Berbasis Web
Keywords:
Consumable, Extreme Programming, Information System, Trend ProjectionAbstract
Recording the use of consumables in the quality department has not been done consistently and is still done by recording on a piece of paper collection form, then transferring to an excel form, causing errors such as lack of consumable stock before the time the purchase should be made. This causes excess funds and the use of other funds to buy the shortage of consumables needed. This research uses the Extreme Programming (XP) system development model with the Trend Projection method, aiming to overcome existing problems by predicting consumable forecasts based on trends from previous item data. The output of the Trend Projection Method forecasting can help, simplify, and speed up the admin in determining what items are worth buying for use in the next month with a more detailed amount.
References
A. A. Rasyad, N. Ulfatin, and A. Timan, “Penataan dan Pemanfaatan Sarana Prasarana Pembelajaran Pendidikan Formal dan Nonformal,” J. Pembelajaran, Bimbingan, dan Pengelolaan Pendidik., vol. 3, no. 5, pp. 412–422, 2023, doi: 10.17977/um065v3i52023p412-422.
M. H. Angga and R. E. Sari, “Perancangan Sistem Peramalan Kebutuhan Sparepart Mobil Dengan Metode Trend Projection Pada Pt. Jakarta Teknologi Utama,” JL. KL. Yos Sudarso Km, vol. 6, no. 2, pp. 437–449, 2023, [Online]. Available: http://kti.potensi-utama.ac.id/index.php/JID.
K. Puspita, “Implementasi Metode Trend Projection Dalam Peramalan Persediaan Gas LPG Pada PT. Sintora Putra Gasindo,” J. Manaj. Sist. Inf., vol. 1, no. 2, pp. 65–69, 2023, doi: 10.51920/jurminsi.v1i2.142.
A. Arisudhana, “Analisis Proses Bisnis Rawat Inap dan Rawat Jalan Rumah Sakit Cakra Husada,” Bongaya J. Res. Account., vol. 5, no. 1, pp. 94–104, 2022, doi: 10.37888/bjra.v5i1.331.
F. S. Aritonang, I. M. Sarkis, and A. Situmorang, “Peramalan Penyediaan Jumlah Vaksin Untuk Balita Dengan Metode Trend Projection di Dinas Kesehatan Kabupaten Toba,” METHOSISFO J. Ilm. Sist. Inf., vol. 2, no. 1, pp. 39–45, 2022, [Online]. Available: http://ojs.fikom-methodist.net/index.php/METHOSISFO.
L. Sufu, B. Pramono, and N. Ransi, “IMPLEMENTASI METODE TREND PROJECTION DENGAN ALGORITMA TREND LEAST SQUARE PADA SISTEM INVENTORY BARANG,” semanTIK, vol. 6, no. 1, pp. 61–68, 2020, [Online]. Available: http://ojs.uho.ac.id/index.php/semantik?61.
G. N. Ayuni and D. Fitrianah, “Penerapan metode Regresi Linear untuk prediksi penjualan properti pada PT XYZ,” J. Telemat., vol. 14, no. 2, pp. 79–86, 2019, [Online]. Available: https://journal.ithb.ac.id/telematika/article/view/321.
D. I. Putri, J. Shadiq, M. S. Apandi, and M. A. Kuncoro, “SISTEM PENGOLAHAN DATA KELUHAN PELANGGAN BERBASIS WEB MENGGUNAKAN EXTREME PROGRAMMING METHOD,” J. KHATULISTIWA Inform., vol. 10, no. 2, pp. 99–106, 2022.
H. Wicaksono, J. Shadiq, D. I. Putri, and R. Sayekti, “THE POWER OF ADAPTABILITY: ACHIEVING AGILITY AND QUALITY IN WEB BASED COMPANY PROFILES THROUGH EXTREME PROGRAMMING,” vol. 20, no. 1, pp. 54–62, 2023.
P. L. Jatika, K. Triatama, A. Savitri, S. Sintaro, and M. I. Takaendengan, “Rancang Bangun Sistem Informasi Nilai Akhir Siswa Berbasis Web Menggunakan Extreme Programming,” vol. 4, pp. 135–140, 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Seminar Nasional Sistem Informasi dan Teknologi (SISFOTEK)
This work is licensed under a Creative Commons Attribution 4.0 International License.
http://creativecommons.org/licenses/by/4.0
