Bahri, Sri Mawarni
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Analisis dan Optimasi Pendapatan Toko Sembako Dengan Pendekatan Program Linier (Studi Kasus Toko Sembako Ibu Sri) Adelia, Nisa; Siregar, Nurhindun Sya’ada; Bahri, Sri Mawarni; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 2: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6969

Abstract

Linear programming is a mathematical approach used to increase the revenue of a grocery store through the analysis of the most optimal combination of products. This study aims to identify the main constraints faced by grocery stores, such as limited capital, storage capacity, and consumer demand. Furthermore, an optimization model based on linear programming was developed to overcome these constraints. This research applies Simplex and Branch and Bound method to find the best solution. The results showed that the application of linear programming model is able to help stores determine the number of products that need to be sold efficiently to maximize revenue. This optimization process also allows for more optimal utilization of existing resources, thus supporting more effective and data-driven decision making. This study provides an important contribution in the management of grocery stores, especially in improving operational efficiency and revenue, and can be a reference for other small business actors.
Analysis of User Satisfaction and Loyalty in the BRI Mobile E-Banking Application using a Data Mining Approach (K-Means Clustering and Decision Tree) Bahri, Sri Mawarni; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti; Bangun, Budianto
Sistemasi: Jurnal Sistem Informasi Vol 15, No 4 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i4.6305

Abstract

The development of information technology has driven digital transformation in the banking sector, particularly through e-banking services that provide convenience, speed, and flexibility for users in conducting financial transactions. The BRI Mobile (BRImo) application, as a digital service of Bank Rakyat Indonesia, plays an important role in improving service quality for customers. However, the emergence of negative perceptions regarding transaction notifications, along with varying user experiences, may affect user satisfaction and loyalty levels. The main problem in this study is that the patterns of user satisfaction and loyalty, as well as the most influential factors affecting both aspects, have not been clearly identified. This study aims to analyze the level of user satisfaction and loyalty toward the BRI Mobile application and to identify the dominant factors influencing them, namely ease of use, security, trust, and system performance. The research employs a quantitative approach using data mining techniques, specifically the K-Means Clustering algorithm to group users based on satisfaction levels, and a Decision Tree to determine the most influential factors affecting user loyalty. Data were collected through questionnaires distributed to 100 active BRImo users. The results show that users can be grouped into several clusters with different satisfaction characteristics. In addition, the Decision Tree analysis reveals that system performance is the most dominant factor influencing user satisfaction and loyalty, followed by ease of use, security, and trust. Overall, the combination of K-Means Clustering and Decision Tree methods provides a more comprehensive understanding of user satisfaction and loyalty patterns, and can serve as a basis for strategic decision-making to improve the quality of the BRI Mobile application services.