ANALISIS DATA TRANSAKSI PENJUALAN OBAT UNTUK MENGETAHUI POLA PEMBELIAN KONSUMEN MENGGUNAKAN ALGORITMA APRIORI

Ni Putu Angela Absari Dewi; Nengah Widya Utami; Eddy Muntina Dharma

doi:10.37600/tekinkom.v8i2.2566

Ni Putu Angela Absari Dewi Universitas Primakara
Nengah Widya Utami Universitas Primakara
Eddy Muntina Dharma Universitas Primakara

DOI: https://doi.org/10.37600/tekinkom.v8i2.2566

Abstract

This study aims to analyze consumer purchasing patterns at Apotek Soya to address operational issues related to product arrangement and stock management that have not been optimally supported by transaction data utilization. The proposed approach applies Association Rule Mining using the Apriori algorithm within the Knowledge Discovery in Database (KDD) framework, encompassing data selection, preprocessing, transformation, and mining. The dataset consists of 10,000 sales transactions recorded from January to April 2025 and processed using Google Colab. By applying a minimum support of 0.02 and a minimum confidence of 0.5, three significant association rules were identified. The strongest rule indicates a positive association between hormone medicine and vitamins, with a support value of 0.0217, confidence of 0.850, and lift of 1.216, showing that vitamins frequently function as complementary products. Other rules involving herbal and fever medicine demonstrate weaker associations. The findings provide data-driven insights that can be utilized to support product placement strategies, bundling, cross-selling, and stock optimization, thereby improving sales performance and operational efficiency at Apotek Soya.

References

[1] Poidata.io, “Pharmacy Report - Bali,” 2025.
[2] S. D. Fadhli, S. Nadjamuddin, S. Kom, and M. Kom, “SISTEM INFORMASI PENJUALAN DAN PERSEDIAAN OBAT PADA APOTEK SEHAT ABADI.”
[3] G. Patria, “SISTEM INFORMASI PENJUALAN OBAT PADA APOTEK SUKMA JAYA MENGGUNAKAN PHP DAN MYSQL,” vol. 9, pp. 34–43, 2023.
[4] Ni Made Widi Astuti, V. H. Makmur, Ni Wayan Febriari Lestari, and Ni Made Wuni Anamaptani, “Implementasi Pelayanan Telefarmasi di Apotek Jejaring X di Bali Sesuai dengan Standar Pelayanan Kefarmasian,” Indonesian Journal of Legal and Forensic Sciences (IJLFS), vol. 14, no. 1, pp. 47–60, Jun. 2024, doi: 10.24843/ijlfs.2024.v14.i01.p05.
[5] N. K. Azizy, V. N. Fhaeza, M. Hafiz, and E. Sunandi, “Pemasaran Berbasis Data Analisis Pola Pembelian Konsumen Online dengan Algoritma Apriori,” Journal of Advanced Research in Informatics, vol. 3, no. 2, pp. 162–169, 2025.
[6] C. Zai and T. Komputer, “IMPLEMENTASI DATA MINING SEBAGAI PENGOLAHAN DATA.”
[7] I. Gede, I. Sudipa, and M. Darmawiguna, “BUKU AJAR DATA MINING,” Jan. 2024. [Online]. Available: https://www.researchgate.net/publication/377415198
[8] Randi. Rony. Zebua Dkk, DATA MINING : Algoritma dan Penerapannya. 2023.
[9] N. T. Ayu, J. Jasmir, and I. S. Wijaya, “Jurnal Manajemen Teknologi dan Sistem Informasi (JMS) Penerapan Data Mining Menggunakan Algoritma Apriori Untuk Persediaan Stok Obat Pada Apotek Safa,” 2024, doi: 10.33998/jms.v4i2.
[10] Y. A. P. F. X. A. Novianto Aldo Wibisono, “SISTEM REKOMENDASI PEMBELIANPEMBELIAN PAKET MAKANAN DAN MINUMANMENGGUNAKAN ALGORITMA APRIORI,” Jurnal Informatika Teknologi dan Sains (JINTEKS), Feb. 2025.
[11] Y. Husain, E. D. Oktaviyani, and S. Christina, “Analisis Perbandingan Algoritma Apriori, FP-Growth, dan Eclat dalam Menemukan Pola Pembelian Konsumen,” 2023.
[12] B. Aktavera and H. Oktafia Lingga Wijaya, “ANALISIS ASSOCIATION RULE MENGGUNAKAN ALGORITMA APRIORI DAN ALGORITMA FP GROWTH,” 2024.
[13] Z. U. Hani and I. Tahyudin, “Analisis Pola Penjualan Produk Ritel Menggunakan Algoritma Apriori di Toko Reika,” CSRID (Computer Science Research and Its Development Journal), vol. 17, no. 1, pp. 71–92, 2025.
[14] A. Wijaya, “Pemanfaatan Algoritma Apriori Untuk Analisis Pola Pembelian Di Ecommerce,” Jurnal Dunia Data, vol. 1, no. 5, 2024.
[15] A. Z. A. T. Ardiansyah and A. Nugroho, “Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Obat (Studi Kasus Klinik Pratama Keluarga Kesehatan),” Journal of Information System, Applied, Management, Accounting and Research, vol. 7, no. 3, pp. 777–788, 2023.
[16] H. I. T. Simamora, “PERANCANGAN SISTEM INFORMASI PENJUALAN CV MITRA TANI MENGGUNAKAN METODE PROTOTYPE,” JURTEKSI (Jurnal Teknologi dan Sistem Informasi), vol. 6, no. 2, pp. 173–178, Apr. 2020, doi: 10.33330/jurteksi.v6i2.552.
[17] M. Syarif and D. Risdiansyah, “PEMANFAATAN METODE PROTOTYPE DALAM PERANCANGAN SISTEM INFORMASI PENJUALAN BERBASIS WEBSITE,” 2024.
[18] A. Program, S. Informatika, and R. Kurniawan, “Perancangan Sistem Informasi Akuntansi Desa Wisata Pentingsari Menggunakan Metode Prototyping.”
[19] I Komang Dion Adi Saputra, “Analisis Transaksi Penjualan Barang Menggunakan Metode Apriori Pada UD. Ayu Tirta Manis,” Primakara University, 2021.
[20] A. Saputra, ) ; Herlina, L. Sari, and D. Sartika, “Implementasi Metode Association Rule Mining Pada Penjualan Barang Di Toko Bangunan Ada Mas Menggunakan Algoritma Apriori,” Jurnal Multidisiplin Dehasen, vol. 2, no. 4, pp. 709–718, 2023.