Article Per Year (5 Year)
p-Index From 2020 - 2025
4.396
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sisfokom (Sistem Informasi dan Komputer) Query : Jurnal Sistem Informasi JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Journal of Dinda : Data Science, Information Technology, and Data Analytics Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Innovative: Journal Of Social Science Research JS (Jurnal Sekolah)
Triase Triase
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Dinda : Data Science, Information Technology, and Data Analytics

 1 
Sandal Product Inventory Prediction System Using Apriori Algorithm on Web-Based Home Industry Dlioshoes Septia Ona Sutra; Triase Triase
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 5 No 1 (2025): February
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v5i1.1783

Abstract

Sales of sandal products at Home Industry Dlioshoes are often faced with the problem of insufficient product inventory. This research aims to build a web-based sales information system by applying the Apriori algorithm to analyze purchasing patterns and predict product inventory needs. By utilizing sales transaction data, this system can identify product combinations that distributors often buy together. By implementing the Apriori Algorithm, it can help industry owners in making decisions regarding product inventory and can predict sales in the next period, thereby reducing the risk of product excess or shortage. The research results show that the types or models of sandals that are most popular with distributors are Heels, Flat Shoes, Mules, Ballet Shoes, High Heels, Ankle Strap and Pumps. With the highest Support value of 42% and Confidence value of 71.18%.
Co-Authors Abdul Aziz Khusen Adinda Priyamita Afira Zulfa Agita Pratiwi Alwi Awilo Haryada Aninda Muliani Bagus Setiawan Denni Anggraeni Desi Ardila Diana Putri Harahap Dwi Yanti Laily Eka Pratiwi Erwin Nasution Fahira Khalisyah Risqullah Fahmi Dian Pratama Fauzy Afny Ulwanda Fitri Rizky Taravita Hairul Amri Ilka Zufria Imam Adlin Sinaga Iqbal Maulana Syahputra Kaila Azahra Khairin Nadia Khairunnisa Tanjung Lia Priastiwi Lisa Amelia Putri M. Iqbal Mashuril Agil Miftahul Jannah Muhamad Alda Muhammad Andyansyah Sembiring Nazla Hazwani Nurasiah Anggini Rahmat Juniarif Zendrato Raissa Amanda Putri Raja Halomoan Sahilun Harahap Rakhmat Kurniawan R Rima Aprilia Samsudin, Samsudin Selfi Asruri Septia Ona Sutra Septiana Dewi Andriana, Septiana Dewi Siti Afzalena Sonya Rezky Fadilla Suendri, Suendri Sukma Ananda Harahap Tri Yuliana Ulfia Zahra Yuda Fakhri Roza Yulisa Nanda Pratiwi Zulkifli Zulkifli