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Analysis of sales levels of pharmaceutical products by using data mining algorithm C45 Rini Sovia; Abulwafa Muhammad; Syafri Arlis; Guslendra Guslendra; Sarjon Defit
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp476-484

Abstract

This research was conducted to analyze the level of sales of pharmaceutical products at a Pharmacy. This is done to find out the types of products that have high and low sales levels. This study uses the C45 data mining algorithm concept that will produce a conclusion on the prediction of sales of pharmaceutical products through data processing obtained from sales transactions at pharmacies. This C45 algorithm will form a decision tree that provides users with knowledge about products that are in great demand by consumers based on sales data and predetermined variables. The final result of the C45 algorithm produces a number of rules that can identify the inheritance of a type of medicinal product. C45 algorithm is able to produce 20 types of categories that will be labeled goals based on the number of pharmaceutical products, since it can be concluded that C45 successfully defines 55% of the existing objective categories.
Penerapan Metode Fuzzy Mamdani untuk Memprediksi Angka Penjualan Token Berdasarkan Persediaan dan Jumlah Permintaan pada PT. PLN (Persero) Padang Berbasis WEB Devia Kartika; Rini Sovia; Hoka Muhgrah Sandawa
Jurnal KomtekInfo Vol. 5 No. 1 (2018): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.763 KB) | DOI: 10.35134/komtekinfo.v5i1.8

Abstract

Listrik merupakan kebutuhan pokok untuk berbagai aktivitas manusia, yang kemudian digunakan untuk berbagai fungsi di masa depan. Dalam mekanisme saat ini PT. PLN menerapkan sistem kelistrikan pintar meteran (token) prabayar. Dalam menentukan jumlah penjualan token dikembangkan dengan menerapkan metode Fuzzy Mamdani. Tujuan yang dicapai adalah untuk memprediksi angka penjualan token berdasarkan data penawaran dan permintaan. Pada proses fuzzy, input dibagi menjadi 2 variabel yaitu supply dan demand. Himpunan fuzzy untuk keluaran penjualan token adalah rendah, sedang, dan tinggi. Pengembangan sistem ini dibuat berbasis web dengan menggunakan bahasa pemrograman PHP (Hypertext Preprocessor) dan database MySQL. Dalam penelitian ini, penulis menggunakan UML (Unified Modeling Language) dalam perancangan program
DESIGN OF PRIVATE CLOUD STORAGEĀ  USING SECURITY METHODS IDS AND IPS Deval Gusrion; Silky Safira; Retno Devita; Ruri Hartika Zain; Rini Sovia
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 4 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1242.307 KB) | DOI: 10.22216/jit.v%vi%i.725

Abstract

Cloud computing is a form of technological progress that has developed along with the times, this has spurred the increasing use of the internet. By usingtechnology internet that is able to implement server a virtual, which has the aim of building a cloud computing server at the District Communications and Information Office. Padang Pariaman uses the Operating System (OS) Proxmox VE (Virtual Environment) 6.4. Cloud computing is able to provide storage services that can be used simultaneously. The results of this study produce a cloud computing server that implements a security system with themethods ids (intrusion detection system) and ips (intrusion prevention system)that are able to process data(storagestorage), use software simultaneously in the network, and use infrastructure within the scope of this research.network cloud computing at the District Communications and Information Office. Padang Pariaman using aservice model private cloud