Segmentasi Penjualan Obat Di Apotek Menggunakan Metode K-Means

Authors

  • Resty Awaliah Febrianty Universitas Jenderal Achmad Yani
  • Wina Witanti Universitas Jenderal Achmad Yani
  • Puspita Nurul Sabrina Universitas Jenderal Achmad Yani

Keywords:

pharmacy, clustering, data mining, k-means, segmentation

Abstract

Sales segmentation is the division of social structures into specific units that have the same characteristics and behavior. The purpose of segmentation is a more targeted sales process so that company resources can be used effectively and efficiently. Segmentation of drug sales can be said to be important because it can be used as supporting data to determine the availability of drugs that must be managed properly to ensure the needed drugs are always available. To determine sales segmentation, clustering is conducted. Clustering is a method in data mining, and is used to map data into smaller groups according to the similarity of each characteristic possessed. In doing the cluster process, the K-Means method is used. This method will classify the level of similarity by determining the number of groups formed and grouping is measured by the proximity of the object so that each group contains data that is similar to the mean value at the center of mass. The purpose of this study is to produce a system that can group drug sales data into four groups according to the time of sale of the drug. The four groups are taken from the calculation using the elbow method. Research on data mining to determine sales segmentation at the Anugrah Farma Padalarang pharmacy using a system built using the PHP programming language and MySQL database. The results of this data mining process can be used by the Pharmacy as a consideration in the process of supplying medicines at the Anugrah Farma Padalarang Pharmacy.Keywords: abstract keywords

References

F. Taslim, “Penerapan Algorithma K-Mean Untuk Clustering Data Obat Pada Puskesmas Rumbai,” Teknol. Inf. Komun. Digit. Zo., vol. 7, no. x, pp. 108–114, 2016.

A. D. Savitri, F. A. Bachtiar, and N. Y. Setiawan, “Segmentasi Pelanggan Menggunakan Metode K-Means Clustering Berdasarkan Model RFM Pada Klinik Kecantikan ( Studi Kasus?: Belle Crown Malang ),” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 9, pp. 2957–2966, 2018.

S. Jejen Arisandi, “Prediksi Kebutuhan Buah dengan Segmentasi Pasar Menggunakan K-Means,” Annu. Res. Semin. 2016, vol. 2, no. 1, pp. 156–158, 2016.

Y. Darmi and A. Setiawan, “Penerapan Metode K-Means Clustering Dalam Pengelompokkan Penjualan Produk,” vol. 12, no. 2, pp. 148–157, 2016.

A. Zaqi and A. Kahfi, “Sistem Pengolahan Data Mining Industri Sepatu Menggunakan Metode K-Means Clustering Di Jawa Tengan.”

I. Technology and C. Science, “No Title,” vol. 1, no. 1, pp. 72–77, 2018.

B. E. Ketherin, A. A. Arifiyanti, and A. Sodik, “Analisis Segmentasi Konsumen Menggunakan Algoritma K-Means Clustering.”

J. Informatika, W. Mega, and P. Dhuhita, “Clustering Menggunakan Metode K-Means Untuk Menentukan Status Gizi Balita,” vol. 15, no. 2, 2015.

M. R. Ridlo, S. Defiyanti, and A. Primajaya, “Implementasi Algoritme K-Means Untuk Pemetaan Produktivitas Panen Padi Di Kabupaten Karawang,” Tek. Inf. Univ. Singaperbangsa Karawang, pp. 426–433, 2017.

B. S. Praja, F. T. Elektro, and U. Telkom, “Penerapan Metode K-Means Clustering Dalam Pengelompokkan Data Penumpang Dan Kapal Agkutan Laut Di Indonesia,” vol. 6, no. 1, pp. 1442–1449, 2019.

N. Wakhidah, “Clustering Menggunakan K-Means Algorithm ( K-Means Algorithm Clustering ),” Fak. Teknol. Inf. dan Komun. Univ. Semarang.

A. I. G. Heni Sulastri, “Penerapan Data Mining Dalam Pengelompokkan Penderita Thalassaemia,” J. Nas. Teknol. dan Sist. Inf., vol. 02, pp. 299–305, 2017.

N. Atthina, D. Kesehatan, and J. Tengah, “Klasterisasi Data Kesehatan Penduduk untuk Menentukan Rentang Derajat Kesehatan Daerah dengan Metode K-Means,” 2014.

F. Nasari, S. Darma, and S. Informasi, “Penerapan K-Means Clustering Pada Mahasiswa Baru,” pp. 6–8, 2015.

N. Putu, E. Merliana, P. Studi, M. Teknik, F. T. Industri, and U. A. Jaya, “Analisa Penentuan Julmah CLuster Terbaik Pada Metode K-Means,” Nas. Multi Disisplin Ilmu Cass Pap. UNISBANK, no. 978-979-3649-81–8, pp. 978–979, 2015.

Downloads

Published

2020-08-19

How to Cite

Resty Awaliah Febrianty, Wina Witanti, & Puspita Nurul Sabrina. (2020). Segmentasi Penjualan Obat Di Apotek Menggunakan Metode K-Means. Prosiding SISFOTEK, 4(1), 200 - 206. Retrieved from http://seminar.iaii.or.id/index.php/SISFOTEK/article/view/213

Issue

Section

3. Data dan Diseminasi Informasi