SALES FORECASTING OF PHARMACEUTICAL `PRODUCTS USING ASSOCIATION RULE MINING (ARM) METHOD
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Abstract
This forecasting application can be applied to the pharmaceutical industry including the PPNI Wlingi pharmacy, which sells a variety of over-the-counter and prescription drugs and medical devices. The purchase of over-the-counter drugs is recorded daily. This, if left unchecked, will caused an accumulate sales data without any utilization of these data. Instead, the data can be used to determine the inventory turn over of goods so that it is useful in future sales strategies. One method that can be used is the Association Rule Mining (ARM) method which implement association rules. Association rule can be used to predict patterns of interrelationship between items that are often purchased by customers. The result will make it easier for companies to make the decision to increase or decrease the stock so that the inventory turn over will be shortened and reduce the risk of innefficient accumulation of goods.
References
Subagyo, Ahmad. 2007. Studi Kelayakan Teori dan Aplikasi.Jakarta: PT Elex Media Komputindo.
Norfiansyah, Dicky. 2014. Konsep Data Mining Vs Sistem Pendukung Keputusan. Yogjakarta: Deepublish.
Triyanto, Wiwit Agus. 2014. Association Rule Mining untuk Penentuan Rekomendasi Promosi Produk. Jurnal SIMETRIS. Vol 5: hal 121-126.
Prajapati, Dinesh J. dkk. 2017. Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment. Science Direct. Future Computing and Informatics Journal 2 (19-30).
Yanto, Robi dan Ririn Khoiriah. 2015. Implementasi Data Mining dengan Metode Algoritma Apriori dalam Menentukan Pola Pembelian Obat. Citec Journal.
Sholihati, Ira Diana dkk. 2017. Aplikasi Data Mining Berbasis Web Menggunakan Algoritma Apriori untuk Data Penjualan di Apotek. SNATIKA. Vol 4: hal 121-126.
Tampubolon, Kennedi dkk. 2013. Implementasi Data Mining Algoritma Apriori pada Sistem Persediaan Alat-Alat Kesehatan. Informasi dan Teknologi Ilmiah (INTI). Vol 1:hal 93-106.
Prisila, Evi Nadya dkk. 2014.Implementasi Metode Algoritma Apriori Pada Sistem Pendukung Keputusan Order Barang. Kumpulan Jurnal Ilmu Komputer (KLIK). Vol 1: hal 46-55.
Syamsuni, Haji. 2005. Farmasetik Dasar dan Hitungan Farmasi. Jakarta: Kedokteran EGC.
Basjaruddin, Noor Cholis. 2015. Pembelajaran Mekatronika Berbasis Proyek. Yogyakarta: Deepublish.
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