Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Artificial Intelligence and Innovative Applications (JOAIIA)
Siswirawan, Andhika Prasetyo
Unknown Affiliation
Computer Science & IT

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

Found 1 Documents
Search

 1 
Sistem Pendukung Keputusan Berbasis Web untuk Pemilihan Lokasi Strategis Coffee Shop di Kota Yogyakarta dengan SMART Siswirawan, Andhika Prasetyo; Fansyuri, Maulana
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 6 No. 4 (2025): November
Publisher : Teknik Informatika Universitas Pamulang

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

Abstract

The coffee shop industry in Yogyakarta has grown rapidly along with the increasing coffee consumption and the city’s strong tourism appeal. Selecting a strategic location is a key success factor for coffee shop businesses; however, this process is complex as it involves multiple criteria such as population density, crowd level, accessibility, rental price, and competition. This study aims to develop a web-based Decision Support System (DSS) using the Simple Multi-Attribute Rating Technique (SMART) method to assist entrepreneurs in determining the optimal coffee shop location. The research applied a quantitative approach through several stages: literature review, criteria identification, data collection, system design with UML, implementation using PHP-MySQL, and testing through Black Box and White Box. The results show that the developed system can provide objective, measurable, and user-friendly location recommendations. System testing confirmed that all functions work as designed, while user feedback indicated a high level of satisfaction. In conclusion, the web-based DSS application using the SMART method is effective for selecting strategic coffee shop locations in Yogyakarta. This system provides a practical solution for entrepreneurs to enhance decision-making quality, reduce subjectivity, and support business success in an increasingly competitive market.
Co-Authors Maulana Fansyuri