Implementation of Data Mining Using the Apriori Algorithm to Determine Drug Layout
DOI:
https://doi.org/10.71302/jbidai.v8i1.62Keywords:
Data Mining, Expenditure, Apriori, MedicineAbstract
The role of information systems has expanded to other layers of life, especially business sectors operating in the health sector. Improving service and performance productivity in the health sector, one of which is pharmacies. This study aims to identify drug dispensing patterns at 24-hour pharmacies in Tarakan. A 24 hour ready pharmacy is a business place that operates in the field of selling medicines, the sales are still manual and the data is stored as an archive, so there is no application that can help the pharmacy owner in knowing the combination of medicines purchased and in determining the layout of medicines that are still not in accordance with the requirements. alphabetical order, based on tablet drug category. This research aims to determine the relationship between drugs purchased by consumers and how to implement data mining to determine the combination of drug sales at 24 Hour Ready Pharmacies. This research was carried out in several stages. The first stage creates tabular transaction data. The second stage is to determine minimum support and minimum confidence. The third stage is to calculate itemset combinations. The fourth stage is calculating confidence and the fifth stage is making a rule or decision rule..
References
[1] R. Alfah, T. Nova Megariani, and Rusdina, “Sistem E – Prescribing Dan Barcode System Untuk Resep,” Jtiulm, vol. 3, no. 2, p. 59, 2018.
[2] A. Anggraini and L. Sianturi, “Implementasi Data Mining Algoritma Hash-Based Untuk Mengetahui Frekuensi Itemset Penjualan Alat-Alat Listrik (Studi Kasus: PT. AsiaSinar Inti Abadi),” Pus. Penelit. dan Pengabdi. Masy. STMIK Budidarma, vol. 9, no. 2, pp. 36–40, 2022.
[3] U. R. Amanda and D. P. Utomo, “Penerapan Data Mining Algoritma Hash Based Pada Data Pemesanan Buah Impor Cv. Green Uni Fruit,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 5, no. 1, pp. 86–93, 2021, doi: 10.30865/komik.v5i1.3653.
[4] D. R. Riyandi, E. Budianita, and Z. Zulkarnain, “Penerapan Algoritma Hash Based Untuk Analisis Pola Pemilihan Mata Kuliah Pilihan Jurusan Teknik Informatika UIN Sultan Syarif Kasim Riau,” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 4, pp. 611–620, 2022, doi: 10.32672/jnkti.v5i4.4449.
[5] F. Panjaitan, A. Surahman, and T. D. Rosmalasari, “Analisis Market Basket Dengan Algoritma Hash-Based Pada Transaksi Penjualan (Studi Kasus: Tb. Menara),” J. Teknol. dan Sist. Inf., vol. 1, no. 2, pp. 111–119, 2020, doi: 10.33365/jtsi.v1i2.450.
[6] B. V. Christioko, K. Khoirudin, and A. Nugroho, “Penentuan Pola Asosiatif Data Tracer Study Universitas Semarang dengan Algoritma Hash Based,” Aiti, vol. 20, no. 2, pp. 150–166, 2023, doi: 10.24246/aiti.v20i2.150-166.
[7] F. Ramadhan, “Implementasi Algoritma Hash Based Terhadap Aturan Asosiasi untuk Menentukan Frequent Itemset Study Kasus Rumah Makan Seafood ‘Kita,’” Semin. Nas. Teknol. Inf. dan Multimed., pp. 97–102, 2017.
[8] M. A. Abdullah and R. T. Aldisa, “Data Mining Untuk Menerapkan Algoritma Hash Based Pada Penetapan Pola Tata Letak Penjualan Bakery and Cake,” J. Sist. Komput. dan Inform., vol. 4, no. 3, p. 443, 2023, doi: 10.30865/json.v4i3.5933.
[9] A. Asran, V. Hadrianti, K. Kasmawaru, H. Hasniaty, N. P. D. T. Yuliadi, and M. Rumende, “Implementasi Data Mining Untuk Meningkatkan Penjualan Dengan Algoritma Hash – Based Pada Toko Krisna Mart,” YUME J. Manag., vol. 6, no. 1, p. 269, 2023, doi: 10.37531/yum.v6i1.3586.
[10] Christos Bialas, Andreas Revanoglou, Vicky Manthou, Improving hospital pharmacy inventory management using data segmentation, American Journal of Health-System Pharmacy, Volume 77, Issue 5, 1 March 2020, Pages 371–377, doi:10.1093/ajhp/zxz264
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