Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer International Journal of Engineering and Emerging Technology
Made Dinda Pradnya Pramita
Audit Sistem Informasi
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Ilmu Komputer

 1 
Analysis of Sales Pattern Determination System and Drug Stock Recommendation Made Dinda Pradnya Pramita; Made Sudarma; Ida Bagus Alit Swamardika
Jurnal Ilmu Komputer Vol 12 No 2 (2019): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.659 KB) | DOI: 10.24843/JIK.2019.v12.i02.p04

Abstract

The tight competition in the pharmacy industry, requires pharmacy owners to develop strategies in increasing drug sales. One of the strategies carried out is to analyze patterns of drug sales and determine drug stock recommendations based on sales transaction data. Based on this, an application was built to determine the pattern of drug sales and drug stock recommendations by using a modified Apriori Algorithm and Triple Exponential Smoothing Method. Apriori algorithm modification is used to overcome the problem of large amounts of sales transaction data, thus minimizing the time in the database scan process. Triple Exponential Smoothing method is used in determining drug stock recommendations based on sales patterns that have been generated to prevent excess or lack of stock. Application testing techniques used are performance testing, lift ratio and accuracy testing. The research resulted in a sales pattern that has a strong association rule and time analysis using Apriori Algorithm modification that is faster than using a traditional Apriori Algorithm and the percentage error value of drug stock recommendations by 31.84%. Keywords: Sales Pattern, Stock Recommendations, Apriori Algorithm Modification and Triple Exponential Smoothing
Co-Authors Gde Brahupadhya Subiksa I Made Dhanan Pradipta Ida Bagus A. Swamardika Komang Oka Saputra Made Sudarma Made Sudarma