Article Per Year (5 Year)
p-Index From 2021 - 2026
0.882
P-Index
This Author published in this journals
All Journal Computer Based Information System Journal Edu Cendikia: Jurnal Ilmiah Kependidikan Computer & Science Industrial Engineering Journal
Darmansah Darmansah
Universitas Putera Batam
Humanities Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : computer

 1 
IMPLEMENTASI FRAMEWORK DELONE DAN MCLEAN UNTUK MENGUKUR KEPUASAN DAN KEAMANAN PADA PENGGUNA APLIKASI M-BANKING Winson Winson; Darmansah Darmansah
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11096

Abstract

The development of digital technology has transformed conventional banking services into application-based services, one of which is mobile banking. MyBCA Mobile is the latest application from Bank Central Asia that offers various modern features, but still faces user complaints regarding system stability, slow OTP (On-Time Transaction) requests, and login issues. This condition necessitates a more in-depth evaluation of user satisfaction and perceived security. This study uses the Information System Success Model framework from DeLone & McLean with the addition of a security dimension to measure system quality, information quality, service quality, user satisfaction, and perceived net benefits. The research method used is quantitative, through the distribution of questionnaires to MyBCA Mobile users. Data were analyzed using validity and reliability tests, and multiple linear regression analysis. The results show that system quality, service quality, and security have a significant effect on user satisfaction, while information quality and usage have no significant effect. User satisfaction has been shown to have a significant effect on net benefits. The conclusion of this study indicates that system stability, service quality, and security are the main factors in increasing satisfaction and perceived benefits of using MyBCA Mobile.
EKSPLORASI DATA PENJUALAN DI PT ABP UNTUK MENGUNGKAP FAKTA-FAKTA SEGMENTASI KONSUMEN PROPERTI MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Stefanus Stefanus; Darmansah Darmansah
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11099

Abstract

Housing sales data in property companies are commonly utilized only for administrative purposes, limiting their potential to generate strategic insights into consumer behavior and purchasing patterns. PT Adi Bintan Permata possesses a substantial volume of housing sales transaction data, yet this data has not been systematically analyzed to support data-driven marketing decisions. This study aims to identify consumer segmentation in the property sector at PT Adi Bintan Permata by applying the K-Means clustering algorithm. A quantitative descriptive research approach was employed using housing sales data from January 2022 to June 2025. The variables analyzed include housing selling price, housing unit type, and payment method. Data processing followed the Knowledge Discovery in Databases (KDD) framework, while the optimal number of clusters was determined using the Elbow Method and Silhouette Coefficient. The clustering process was conducted using RapidMiner and Google Colaboratory. The results reveal three distinct consumer clusters with different purchasing characteristics. These findings indicate that K-Means clustering is effective for property consumer segmentation and provides meaningful insights to support more targeted and effective marketing strategies.
EKPLORASI DATA PENJUALAN DI OTOXPERT MENGGUNAKAN ALGORITMA APRIORI Jeky Jeky; Darmansah Darmansah
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11210

Abstract

This study aims to explore sales transaction data of spare parts at OTOXPERT Batam usingthe Apriori algorithm to identify association patterns among products. The main problemaddressed is that transaction data, although available in large quantities, has not beenoptimally utilized to uncover relationships between spare parts, so the potential use of thesepatterns to support cross-selling activities and stock management has not been fullyrealized. The data used in this study were sales transactions from January 1 to March 31,2025. The research method includes data preprocessing, transformation of transaction datainto basket form, descriptive analysis, and the application of the Apriori algorithm usingsupport, confidence, and lift parameters. The results show that the Apriori algorithm is ableto discover frequent itemsets and association rules that describe the tendency of spareparts to be purchased together. These patterns provide meaningful information aboutcustomer purchasing behavior and can be used as supporting information in decisionmaking related to sales strategies and inventory management. Therefore, this studydemonstrates that the Apriori algorithm is effective in transforming transaction data intovaluable information for business analysis at OTOXPERT Batam.
Co-Authors Budy Satria Jeky Jeky les lie mervin Sandi Fadilah Sarah Astiti Stefanus Stefanus Winson Winson Yeyi Gusla Nengsih