Implementation of Data Mining Using Hash-Based Algorithm for Drug Expenditure Patterns at Pertamina Tarakan Hospital
DOI:
https://doi.org/10.71302/jbidai.v7i1.41Keywords:
Data Mining, Expenditure, Hash Based, MedicineAbstract
The role of information systems has expanded to other layers of life, especially in the health sector. Improving service and performance productivity in the health sector, including pharmacies. This study identifies drug dispensing patterns at the Pertamina Tarakan Hospital.This research was carried out in several stages. First, create tabular transaction data. Second, determine minimum support. Third, determine the memory address. Fourth, calculate the minimum confidence. Fifth, calculate confidence, and last, make a decision.This study focuses on Rs Pertamina Tarakan to identify common spending patterns. For example, in the previous 12 months, what drug combination was most commonly administered to patients. Knowing dispensing patterns allows Rs Pertamina Tarakan to arrange the layout of medicines, resulting in more optimal and excellent service in the medicine administration department. The results showed that in 2022, three pairs of drug combinations placed close together, namely Ranitidin, Urdahex Cap first pair, Urdahex Cap, Folamil genio kap, Propylathiorasil second pair, and Propylathiorasil, Ranitidin, and Urdahex Cap third pair.
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 MengetahuiFrekuensi 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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