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All Journal Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains
Dede Supian
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM SISTEM PENDUKUNG KEPUTUSAN PENENTUAN HARI DENGAN JUMLAH PEMBELI TERTINGGI (STUDI KASUS TOKO BAJU SPRING) Zainudin; Dede Supian
Journal of Research and Publication Innovation Vol 4 No 1 (2026): JANUARY
Publisher : Journal of Research and Publication Innovation

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Abstract

This study aims to design and develop a Decision Support System (DSS) to determine the days with the highest number of customers at Spring Clothing Store using the Simple Additive Weighting (SAW) method. The research is motivated by the difficulties faced by the store owner in predicting peak customer days due to the large number of criteria that must be considered in the decision-making process. The existing manual and subjective approach, which relies heavily on intuition, often leads to inaccurate decisions, resulting in suboptimal stock management, reduced customer satisfaction, and potential financial losses. The SAW method is applied to provide a more structured, objective, and accurate approach by ranking alternative days based on predefined criteria. The research methodology includes data collection through observation, interviews, and literature studies, followed by system design and implementation using web-based programming with PHP and a MySQL database. The results indicate that the SAW-based DSS effectively assists the store owner in identifying high-traffic customer days, enabling better stock preparation and minimizing the risk of losses. This study contributes to the practical application of multi-criteria decision-making methods in small retail business management and may serve as a reference for similar implementations.
Penerapan Metode Simple Additive Weighting pada Sistem Pendukung Keputusan untuk Menentukan Hari Banyaknya Pembeli (Studi Kasus Toko Baju Spring) Zainudin; Dede Supian
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 01 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This study aims to develop a decision support system (DSS) to determine the busiest shopping days at Toko Baju Spring using the Simple Additive Weighting (SAW) method. The background of this research is the difficulty faced by store owners in predicting busy days due to the many criteria and supplier alternatives considered. The manual selection process, which is still subjective and based on estimates, often leads to errors in decision-making, affecting stock availability, customer satisfaction, and store profitability. The SAW method is applied to provide a more systematic, objective, and accurate approach in ranking days based on predetermined criteria. The research stages include data collection through observation, literature study, and interviews, followed by system design and implementation using web programming (PHP) and MySQL database. The results show that the SAW-based DSS can effectively assist store owners in identifying the busiest days, thereby optimizing stock preparation and minimizing the risk of loss. This study contributes to the practical application of multi-criteria decision-making methods in small retail business management and provides a reference for similar implementations
Co-Authors Zainudin