Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jiko (Jurnal Informatika dan komputer) ITEJ (Information Technology Engineering Journals)
Maulana Dwi Sena
University Royal Asahan Indonesia
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
AN INTEGRATED AHP-MFEP DECISION SUPPORT MODEL FOR IMPROVING PRODUCT RECOMMENDATION ACCURACY IN FASHION RETAIL Cici Anggriani; Riki Andri Yusda; Maulana Dwi Sena
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 2 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i2.11704

Abstract

The development of decision support systems has become essential in assisting businesses to make accurate and objective decisions, especially in product selection processes. However, many retail businesses still rely on manual decision-making, which is often subjective and inconsistent. This study aims to develop a decision support system using the Analytical Hierarchy Process (AHP) and Multi-Factor Evaluation Process (MFEP) methods to improve the accuracy and consistency of product recommendations. The AHP method is used to determine the weight of each criterion through pairwise comparisons, while the MFEP method is applied to evaluate and rank product alternatives based on these weights. The criteria used in this study include sales, profit, and customer preferences. Data collection was conducted through observation, interviews, and documentation. The results show that the system is able to generate structured and objective product rankings. The highest score obtained is 4.6, indicating the most recommended product alternative. Furthermore, the evaluation results show that the system achieves an accuracy of 92% and a precision value of 90%, indicating high relevance of the recommendations. In addition, the Spearman Rank Correlation value of 0.95 indicates a very strong agreement between the system results and expert judgment. Therefore, the proposed system is effective in improving decision-making accuracy, reducing subjectivity, and providing reliable product recommendations.
Application of The SCM Concept in Maintaining Smoothness of Cabinet Production Chalista Alfina; Maulana Dwi Sena; Sudarmin
ITEJ (Information Technology Engineering Journals) Vol. 11 No. 1 (2026): June
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.v11i1.303

Abstract

This study examines the application of Supply Chain Management (SCM) concepts in maintaining the smoothness and efficiency of cabinet production processes. In highly competitive manufacturing environments, production continuity is crucial to meeting customer demand and ensuring operational effectiveness. This research adopts a qualitative descriptive approach, collecting data through observations, interviews, and documentation within a cabinet manufacturing company. The findings reveal that the implementation of SCM practices such as supplier integration, inventory control, demand forecasting, and coordinated production planning significantly enhances material availability, reduces production delays, and minimizes operational disruptions. Furthermore, effective collaboration among supply chain actors improves communication flow and responsiveness to market changes. The study concludes that adopting SCM concepts not only ensures smoother production processes but also contributes to cost efficiency and improved customer satisfaction. These results highlight the strategic importance of SCM in strengthening manufacturing performance and sustaining business competitiveness in dynamic industrial environments..
Co-Authors Chalista Alfina Cici Anggriani Riki Andri Yusda Sudarmin