Implementation of Stock Goods Data Mining Using the Apriori Algorithm

Authors

  • Bosker Sinaga Informatics Engineering, STMIK Pelita Nusantara, Indonesian
  • Meman Marpaung Informatics Engineering, STMIK Pelita Nusantara, Indonesian
  • Ita Roseni Br Tarigan Informatics Engineering, STMIK Pelita Nusantara, Indonesian
  • Keke Tania Informatics Engineering, STMIK Pelita Nusantara, Indonesian

DOI:

10.33395/sinkron.v8i3.12852

Keywords:

data mining, apriori algorithms, drug stocks

Abstract

Stock inventory in the pharmacy should be well recorded. This is to provide the best service to customers/buyers. Buyers who come with empty results or the drug they want to buy will not feel disappointed, especially if they have made several purchases. This research implements data mining of drug stock inventory, where in the research carried out there are many empty and excess inventory items, resulting in less than optimal service. The research method, namely the survey research method, is a research method that is carried out using surveys or data collection through research respondents. The algorithm used in analyzing the data is the Apriori algorithm. The results of this study are the results of association rules based on predetermined parameters, namely a minimum support of 25% and a minimum confidence of 60%. The rule that is formed is that if consumers buy amoxicillin, they will buy mefenamic acid with a support value of 37% and a confidence of 183%.

GS Cited Analysis

Downloads

Download data is not yet available.

References

Aidi Saputra, K., Tata Hardinata, J., Ridwan Lubis, M., Retno Andani, S., & Syahputra Saragih, I. (2020). KLIK: Kajian Ilmiah Informatika dan Komputer Klasifikasi Algoritma C4.5 Dalam Penerapan Tingkat Kepuasan Siswa Terhadap Media Pembelajaran Online. Media Online), 1(3), 113–118. https://djournals.com/klik

Algoritma, I., & Dalam, A. (1994). PREDIKSI DATA MINING STOK BUKU. 45–53.

Batubara, D. K., Suryani, N., & Buani, D. C. P. (2020). Penerapan Algoritma Apriori Untuk Menentukan Persediaan Peralatan Dan Mesin. Indonesian Journal on Software Engineering (IJSE), 6(2), 195–203. https://doi.org/10.31294/ijse.v6i2.9032

Delrinata, W., & Siahaan, F. B. (2020). Implementasi Algoritma Apriori Untuk Menentukan Stok Obat. Jurnal Sisfokom (Sistem Informasi dan Komputer), 9(2), 222–228. https://doi.org/10.32736/sisfokom.v9i2.875

Eka, M., & Siregar, R. A. (2018). Data Mining Assosiation Rule Untuk Mendukung Sistem Pencapaian Target Pajak Pendapatan Daerah Studi Kasus Di Kabupaten Deli Serdang. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), 2(1), 476–484. https://doi.org/10.30865/komik.v2i1.979

Ependi, U., & Putra, A. (2019). Solusi Prediksi Persediaan Barang dengan Menggunakan Algoritma Apriori (Studi Kasus: Regional Part Depo Auto 2000 Palembang). Jurnal Edukasi dan Penelitian Informatika (JEPIN), 5(2), 139. https://doi.org/10.26418/jp.v5i2.32648

Kusumo, H., Sediyono, E., & Marwata, M. (2019). Analisis Algoritma Apriori untuk Mendukung Strategi Promosi Perguruan Tinggi. Walisongo Journal of Information Technology, 1(1), 49. https://doi.org/10.21580/wjit.2019.1.1.4000

Mardi, Y. (2017). Data Mining : Klasifikasi Menggunakan Algoritma C4.5. Edik Informatika, 2(2), 213–219. https://doi.org/10.22202/ei.2016.v2i2.1465

Mardiah, M. (2019). Penerapan Data Mining Apriori Pada Persediaan Obat (Studi Kasus Apotek Rafif Farma Medan). Algoritma : Jurnal Ilmu Komputer Dan Informatika, 3(2), 115. https://doi.org/10.30829/algoritma.v3i2.6953

Mardiaha, A., & Yulia, Y. (2021). Implementasi Data Mining Menggunakan Algoritma Apriori Pada Penjualan Suku Cadang Motor. Jurnal Ilmu Komputer, 14(2), 125. https://doi.org/10.24843/jik.2021.v14.i02.p07

Mayana Br Tarigan, N., Sitohang, A., Suramana Tarigan, E., Fitria Br Sibarani, H., Pelita Nusantara Jalan Iskandar Muda No, S., & Utara, S. (2021). Sistem Pendukung Keputusan Penentuan Jenis Obat (Nera Mayana Br. Jurnal Sains Komputer & Informatika (J-SAKTI, 5(September), 1096.

Qomariah, S., Basrie, B., & Pa’a, S. F. (2020). Implementasi Algoritma Apriori Pada Data Penjuanlan Produk Asesoris Cv Princes Diary Samarinda. Just TI (Jurnal Sains Terapan Teknologi Informasi), 12(2), 31. https://doi.org/10.46964/justti.v12i2.321

Saefudin, S., & DN, S. (2019). Penerapan Data Mining Dengan Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Ikan. JSiI (Jurnal Sistem Informasi), 6(2), 36. https://doi.org/10.30656/jsii.v6i2.1587

Wahyuni, S., Suherman, & Harahap, lumalo portibi. (2017). Implementasi Algoritma. Prosiding SINTAK 2017, 2(2), 31–39.

Downloads


Crossmark Updates

How to Cite

Sinaga, B., Marpaung, M. ., Tarigan, I. R. B. ., & Tania, K. . (2023). Implementation of Stock Goods Data Mining Using the Apriori Algorithm. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(3), 1980-1992. https://doi.org/10.33395/sinkron.v8i3.12852

Issue

Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023

Section

Articles

License

Copyright (c) 2023 Bosker Sinaga, Meman Marpaung, Ita Roseni Br Tarigan, Keke Tania

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC