Sudarmin
Universitas Royal Asahan Sumatera Utara

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

Found 3 Documents
Search

K-Means Clustering as a Method for Identifying Consumer Behavior Patterns In Taqimart Urba Yesha Hasibuan; Arridha Zikra Syah; Sudarmin
ITEJ (Information Technology Engineering Journals) Vol. 11 No. 1 (2026): In Progress
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v11i1.300

Abstract

Taqimart, as a grocery store developing amid competition from modern retail, still faces challenges in analyzing consumer data, where the transaction data generated has not been optimally utilized to understand consumer shopping behavior patterns. This study aims to identify and classify the shopping behavior patterns of Taqimart consumers by applying the K-Means Clustering method. The data used consist of consumer data and transaction data that reflect shopping behavior characteristics, such as purchase frequency and total spending. The K-Means Clustering method is used to group consumers into several clusters based on the similarity of their shopping behavior. The results of this study can provide more structured consumer segmentation information, helping Taqimart develop more targeted marketing strategies, increase the effectiveness of promotions, and support data-driven business decision-making to enhance business competitiveness
PERAMALAN DAN ANALISIS PERPUTARAN PERSEDIAAN PRODUK DAPUR KERIPIK RIDA DENGAN METODE SINGLE MOVING AVERAGE Tri Wulandari; Nuriadi Manurung; Sudarmin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6588

Abstract

Rida Chip Kitchen is a business engaged in the production and sale of various types of chips. The problem faced by Rida Chip Kitchen is the difficulty in determining the optimal inventory level for each period, resulting in excessive inventory storage that increases operational costs and inventory shortages that lead to lost sales opportunities over the past seven months. Production is carried out without clear planning, leading to an imbalance between demand and inventory, as well as the risk of excess or shortage of inventory due to the absence of accurate forecasts. The Single Moving Average (SMA) method is the simplest type of Moving Average that does not use weighting in its calculations of closing price movements. The research method used in this study is a quantitative research method. From the analysis results at Rida's Chip Kitchen, it is possible to predict product demand more accurately, improve product availability, and reduce the risk of customers switching to competitors due to stock shortages
PEMANFAATAN E-CRM SEBAGAI PENDUKUNG AKTIVITAS PENJUALAN DAN LAYANAN DALAM BUTIK BETY DAN BUDI Adinda Siti Rahmah Sinaga; Guntur Maha Putra; Sudarmin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8175

Abstract

Butik Bety and Budi is a fashion retail business that still manually records transactions using books, resulting in product data, customer information, and purchase history not being digitally integrated. This condition leads to inefficient data management and reporting processes. This study aims to develop a web-based Electronic Customer Relationship Management (E-CRM) system to support sales and customer service activities at Butik Bety and Budi. This research uses a qualitative approach with data collection techniques through observation, interviews, and literature review. The system was developed using the PHP programming language and MySQL database and was designed using Unified Modeling Language (UML). System testing was conducted using the Black Box Testing method. The results show that all system functions operated according to the testing scenarios with a 100% success rate. The developed system integrates customer, product, and transaction data into a centralized platform, thereby improving sales process efficiency and supporting more effective customer relationship management.