Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Angga Septian M. N.
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Rancang Bangun Sistem Pendukung Keputusan Pemilihan Coffee Shop Terbaik Menggunakan Metode SAW (Studi Kasus: Pondok Pinang) Eko Puji Saputro; Angga Septian M. N.
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 02 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The coffee shop industry in the Pondok Pinang area is growing rapidly, providing many choices but also challenges for consumers in choosing a place that suits their preferences. This study aims to build a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to objectively determine the best coffee shop. The research methodology includes observation, literature study, and web-based software design. The system evaluates alternatives based on five main criteria: price, menu variety, service, cleanliness, and facilities. The results show that the SAW method is effective in providing accurate recommendations, helping users make more efficient decisions in choosing the best cafe in Pondok Pinang.
Co-Authors Eko Puji Saputro