Penerapan Fuzzy Multidimensional Association Rule untuk Analisis Pola Perilaku Konsumen

Rumah Oleh-oleh Qiran, the largest souvenir center in Rokan Hulu, Riau Province, is experiencing issues with manual inventory and sales tracking, a lack of sales data analysis, and inadequate product arrangement. This study used the Fuzzy Multidimensional Association Rule Algorithm to analyze sales data and generate product association patterns. The main goal is to increase the inventory and sales management efficiency while also optimizing product arrangement based on purchase patterns detected through transaction analysis results. The data used consisted of 140 sales transactions from during June, 2023, with a minimum support 30% and a minimum confidence 25%. The analysis of data results the best-selling products are "Kue Bangkit" (33.58%) and "Gula Aren Rambah Kotak" (27.01%). "kue bangkit" and "gula aren rambah kotak" are the popular product combinations, with a support of 19.71% and a confidence of 72.97%. The application passed the User Acceptance Test (UAT) with a 75% score, indicating that it is applicable to use.

Authors

Institutions

Publication Details

Journal
Journal of Information System and Technology
Published
2024-12-12
DOI
https://doi.org/10.37253/joint.v5i3.10031
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Penerapan Fuzzy Multidimensional Association Rule untuk Analisis Pola Perilaku Konsumen

Erni Rouza, Rivi Antoni, Asep Supriyanto, Nurmia Refni
1 links
Journal of Information System and Technology
Decision Support System Applications
article

Penerapan Fuzzy Multidimensional Association Rule untuk Analisis Pola Perilaku Konsumen

Erni Rouza, Rivi Antoni, Asep Supriyanto, Nurmia Refni
article en

Abstract

Rumah Oleh-oleh Qiran, the largest souvenir center in Rokan Hulu, Riau Province, is experiencing issues with manual inventory and sales tracking, a lack of sales data analysis, and inadequate product arrangement. This study used the Fuzzy Multidimensional Association Rule Algorithm to analyze sales data and generate product association patterns. The main goal is to increase the inventory and sales management efficiency while also optimizing product arrangement based on purchase patterns detected through transaction analysis results. The data used consisted of 140 sales transactions from during June, 2023, with a minimum support 30% and a minimum confidence 25%. The analysis of data results the best-selling products are "Kue Bangkit" (33.58%) and "Gula Aren Rambah Kotak" (27.01%). "kue bangkit" and "gula aren rambah kotak" are the popular product combinations, with a support of 19.71% and a confidence of 72.97%. The application passed the User Acceptance Test (UAT) with a 75% score, indicating that it is applicable to use.

Journal of Information System and TechnologyVol. 5(3)
Universitas Pasir Pangaraian (ID)
Openalex Percentile: Top 59%
Decision Support System Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Penerapan Fuzzy Multidimensional Association Rule untuk Analisis Pola Perilaku Konsumen — Erni Rouza, Rivi Antoni, et al. · Journal of Information System and Technology (2024) | TGRS Research Map | TGRS