GDL

Implementation of Data Mining to Determine Patterns of Drug Purchases in Panasea Pharmacies Using Apriori Algorithms

Undergraduate Theses from gdlhub / 2019-05-13 15:24:09
Oleh : Sahat Martua Sitompul, STIKOM Dinamika Bangsa Jambi
Dibuat : 2019-05-13, dengan 7 file

Keyword : Data Mining, Aturan Asosiasi, Algoritma Apriori, WEKA, Stok Obat-obatan

PT. Mensa Binasukses Distributor Obat yang bergerak dalam bidang pelayanan jasa untuk membantu masyarakat dalam memberikan solusi dari berbagai macam penyakit dalam kehidupan masyarakat sehari - hari. Peneliti mengambil data transaksi penjualan pada bulan April, Mei, Juni dan Juli sebanyak 800 data transaksi. Dalam melakukan analisisnya peneliti menggunakan tools WEKA dan RAPIDMINER. Metode yang digunakan dalam penelitian ini adalah Aturan Asosiasi Algoritma Apriori dengan menghasilkan 31 attribut. Analisis tersebut menghasilkan 6 rule yaitu : Jika membeli Cyclofem, maka juga akan membeli Triclofem dengan nilai confidence sebesar 0.87 (87%), Jika membeli Triclofem, maka juga akan membeli Cyclofem dengan nilai confidence sebesar 0.83 (83%), Jika membeli Thrombogel Gel, maka juga akan membeli Thrombophob Gel dengan nilai confidence sebesar 0.78 (78%), Jika membeli Obat Zitrolin Kaplet, maka juga akan membeli obat Mucera dengan nilai confidence sebesar 0.76 (76%), Jika membeli Obat Ottopan , maka juga akan membeli obat Mucera dengan nilai confidence sebesar 0.75 (75%), Jika membeli Obat Thrombophob Gel, maka juga akan membeli obat Thrombogel Gel dengan nilai confidence sebesar 0.70 (70%). Nilai support tertinggi dari rule tersebut adalah sebesar 0.10 (10%) dan nilaiconfidence tertinggi adalah 0.87 (87%) yang didapatkan dari rule tersebut.

Deskripsi Alternatif :

PT. Mensa Binasukses a Distributor of Medicines which is engaged in the service sector to help the community in providing solutions to various kinds of diseases in people's daily lives. These sales transactions can only be accessed and not processed properly for adjusted payments and difficulties in controlling drug supplies. - medicines available. Therefore, researchers, researchers analyze Mining Data on the sales transaction so that it can be used as information for PT. Binasukses Mensa. The researcher took sales transaction data in April, May, June and July with 800 transaction data. In conducting the analysis the researcher used the WEKA and RAPIDMINER tools. The method used in this study is the Association Rules of Apriori Algorithm by producing 31 attributes. The analysis produced 6 rules, namely: If you buy Cyclofem, you will also buy Triclofem with a trust value of 0.87 (87%), if you buy Triclofem, you will also buy Cyclofem with a trust value of 0.83 (83%), if buy Thrombogel Gel, then you will also buy Thrombophob Gel with a trust value of 0.78 (78%). If you buy Zitrolin Kaplet medicine, you will also buy Mucera medicine with a trust value of 0.76 (76%), if you buy Ottopan medicine , then you will also buy Mucera medicine with a trust value of 0.75 (75%). If you buy Thrombophob Gel medicine, you will also buy Thrombogel Gel medicine with a trust value of 0.70 (70%). The highest support value of this rule is 0.10 (10%) and the highest confidence value is 0.87 (87%) obtained from the rule.

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