Article Per Year (5 Year)
p-Index From 2020 - 2025
3.965
P-Index
This Author published in this journals
All Journal Journal of Industrial Engineering Management PERFORMA : Media Ilmiah Teknik Industri Abdimas Universal Jurnal Rekayasa Industri (JRI) Jurnal Perangkat Lunak Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Surya Teknika PLAKAT : Jurnal Pelayanan Kepada Masyarakat SELODANG MAYANG Journal of Information Technology Ampera Teknika Sains : Jurnal Ilmu Teknik Idea Pengabdian Masyarakat Spektrum Industri Journal of Industrial and Mechanical Engineering
Harits, Dimaz
Program Studi Teknik Industri, Fakultas Teknologi Industri, Universitas Balikpapan
Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Information Technology Ampera

 1 
A Pattern Analysis on Goods Purchase Relationship for Minimarket’s Customers by Using Association Rule - Market Basket Analysis Method (AR-MBA) Agus Hindarto Wibowo; Hasyrani Windyatri; Andivas Marulan; Dimaz Harits; Davin Nugraha
Journal of Information Technology Ampera Vol. 4 No. 3 (2023): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.v4i3.422

Abstract

Nowadays, technology has been rapidly developed, while data has become the most valuable component to be processed to produce useful information. Technology is very helpful for analyzing data clearly or in more detail. The implementation of this technology can be found in real governmental, social, and business activities, for example in business activity, it is indicated by the number of minimarkets spread across Indonesia. Thus, it makes business competition highly increased. Therefore, it is necessary to conduct a study by utilizing the existing data to compete. This study used the Association Rule-Market Basket Analysis method to determine customers’ interest patterns when shopping. The results of this study indicated that there were 2 rules that showed the highest confidence value, such as 63% (food and beverages) and 58% (cigarettes and drinks). Regarding these results, the minimarket can determine the next steps that should be conducted, such as setting up the layout and so on.
Co-Authors a asni b Afif Bizrie Mardhanie Agus Hindarto Wibowo Ahkmad Nurdin Ahmad Nijar Zulmy Aji Wibowo, Nugroho Andivas, Marulan Aswadul Fitri Saiful Rahman Bambang Irawan Bigael Yunisca Angela Cahyo, Winda Nur Davin Nugraha Denur Denur Dermawan , Dedi Eaden Ahmed Thoriq Felicia Gledys Fida Husnaseptia Fransye Joni Pasau Hasyrani Windyatri Hendri Ali Ardi Hirwandi Ihsan Sabila Khan M, Fathi Ihwan Ghazali Kisanjani, Alex Kuswandi Arifin M. Salmani Mayda Waruni Kasrani Misrianto Misrianto, Misrianto Mohamad Nur Yorisyah Mohammad Faisal Muhammad Ihsanul Aziz Mulyadi, Agus Nisa, Elsa Aulia Nur Wahida Putri, Ahda Puji, Ari Andriyas Putra, Riandimas Nursava rahmadina, nur Setiawan. B, Christian Albert Siska Ayu Kartika sugiono, nana Surahman Surahman Thomas Robert Hutauruk Thoriq, Eaden Ahmed Ulum, Panji Wahyu Ismail Kurnia Wicaksono, Muhamad Tri Yogi Wahyu Praswoto Zulmy, Ahmad Nijar