Application of the Association Method Using FP-Growth Algorithm to Find Pattern Of Medicine Purchasing Transactions at Pharmacy
DOI:
https://doi.org/10.61098/jarcis.v1i2.50Keywords:
Family Pharmacy, Medicine, Association Method, FP-GrowthAbstract
This research was conducted with the aim of finding patterns of medicine sales transactions at the Family Pharmacy so that it can be used as a reference for providing medicine stock so that service to consumers can be improved. This study uses the association method by implementing the FP-Growth algorithm. Through the association method, patterns of medicine purchases will be found in the form of medicine that are purchased together. Then, this study wants to test the FP-Growth algorithm in finding patterns of medicine purchases. The data used is data for the second half of 2021. This dataset consists of 20,266 transactions and 1,166 attributes in the form of medicine. The results of the study by setting different minimum support and minimum confidence values, 7 association rules are obtained with a minimum support value of 10% and a minimum confidence of 90% and the accuracy value of each rule formed is 2,683. The level of association rules formed is strong because it shows more than 1. After knowing the association rules that are formed, these rules will be used as a reference in providing medicine stocks and medicine recommendations.
Downloads
References
S. D. Krisna Triyono and Y. K. Herdiyanto, “Konsep Sehat Dan Sakit Pada Individu Dengan Urolithiasis (Kencing Batu) Di Kabupaten Klungkung, Bali,” J. Psikol. Udayana, vol. 4, no. 02, p. 263, 2018, doi: 10.24843/jpu.2017.v04.i02.p04.
Anonim, “Kesehatan,” Nano Natura. https://nanotechnatura.com/kesehatan/.
Y. Xu et al., “Retrospective study of reported adverse events due to complementary health products in Singapore from 2010 to 2016,” Front. Med., vol. 5, no. JUN, pp. 1–14, 2018, doi: 10.3389/fmed.2018.00167.
A. Drs. Medianto Henky Saputra, “Pengelolaan Persediaan Obat di Apotek,” Supply Chain Indonesia, 2020. https://supplychainindonesia.com/pengelolaan-persediaan-obat-di-apotek/.
B. Anggraeni, Hapsari Dita, Saputra, Ragisl, Noranita, “Data Mining Data mining,” Min. Massive Datasets, vol. 2, no. January 2013, pp. 5–20, 2005, [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139058452A007/type/book_part.
R. R. Ramadina, T. H. Pudjiantoro, and I. Santikarama, “Pembangunan Sistem Customer Relationship Management (CRM) Menggunakan Metode Asosiasi Algoritma Apriori,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 2, no. 2, p. 78, 2020, doi: 10.36499/jinrpl.v2i2.3539.
R. Fitria, W. Nengsih, and D. H. Qudsi, “Implementasi Algoritma FP-Growth Dalam Penentuan Pola Hubungan Kecelakaan Lalu Lintas,” J. Sist. Inf., vol. 13, no. 2, p. 118, 2017, doi: 10.21609/jsi.v13i2.551.
M. Badrul, “Algoritma Asosiasi Dengan Algoritma Apriori Untuk Analisa Data Penjualan,” J. Pilar Nusa Mandiri, vol. XII, no. 2, pp. 121–129, 2016, [Online]. Available: http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/266.
D. Fitriati and M. Hardiyanto, “Perbandingan Algoritma Apriori Dan Algoritma Fp-Growth Untuk Mengetahui Pola Penggunaan Transportasi Online,” Snatif, p. 9, 2018.
E. Muningsih, “Penentuan rekomendasi produk dengan metode data mining asosiasi generalized sequence pattern (gsp),” pp. 218–224, 2016.
D. Saadah, Rabiatus, “Analisa Asosiasi Data Mining Penjualan Meubel Menggunakan Algoritma Apriori Pada Master Borneo Pontianak Selatan,” vol. 13, no. 2, pp. 31–39, 2020.
Syafnidawaty, “PENELITIAN KUALITATIF,” raharja.ac.id, 2020. https://raharja.ac.id/2020/10/29/penelitian-kualitatif/ (accessed Apr. 21, 2020).
C. Schröer, F. Kruse, and J. M. Gómez, “A systematic literature review on applying CRISP-DM process model,” Procedia Comput. Sci., vol. 181, no. 2019, pp. 526–534, 2021, doi: 10.1016/j.procs.2021.01.199.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Joanna Nugraha, Chanadya Yustia Purnamawati
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
