Sistem Pendukung Keputusan Pemilihan Photobooth Terbaik di Samarinda Menggunakan Metode Simple Additive Weighting (SAW)

This study aims to apply the Simple Additive Weighting (SAW) method in a web-based decision support system to rank photobooth alternatives in Samarinda based on user evaluations. The study collected data from 20 respondents, each selecting and evaluating one photobooth they had previously visited using ten assessment criteria. The decision matrix was constructed using the average respondent scores for each alternative, ensuring that the values reflected the evaluations collected for each photobooth. Criterion weights were calculated by dividing the average score of each criterion by the sum of the average scores across all criteria. All criteria were classified as benefit attributes, including price suitability relative to photo quality. Subsequently, the SAW method was applied to normalize scores and calculate preference values for ranking alternatives. The system generated rankings for six photobooth alternatives. Photoism ranked first with a preference value of 0.9761, followed by Our Self Studio (0.9668) and Cabox (0.8937). These findings demonstrate that SAW provides a structured approach to ranking alternatives based on predetermined criteria and weights. However, unequal respondent distribution across alternatives requires cautious interpretation. The findings are limited to the collected data and do not represent all photobooth users in Samarinda.

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Publication Details

Journal
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Published
2026-11-10
DOI
https://doi.org/10.55606/juisik.v6i3.2802
Primary Topic
Decision Support System Applications
Type
article
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article

Sistem Pendukung Keputusan Pemilihan Photobooth Terbaik di Samarinda Menggunakan Metode Simple Additive Weighting (SAW)

Ramadiani Ramadiani, Muhammad Labib Jundillah, Nur Meysha Putri, Noor Refa Febrianti et al.
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Decision Support System Applications
article

Sistem Pendukung Keputusan Pemilihan Photobooth Terbaik di Samarinda Menggunakan Metode Simple Additive Weighting (SAW)

Ramadiani Ramadiani, Muhammad Labib Jundillah, Nur Meysha Putri, Noor Refa Febrianti, Nabila Rosiana
article en

Abstract

This study aims to apply the Simple Additive Weighting (SAW) method in a web-based decision support system to rank photobooth alternatives in Samarinda based on user evaluations. The study collected data from 20 respondents, each selecting and evaluating one photobooth they had previously visited using ten assessment criteria. The decision matrix was constructed using the average respondent scores for each alternative, ensuring that the values reflected the evaluations collected for each photobooth. Criterion weights were calculated by dividing the average score of each criterion by the sum of the average scores across all criteria. All criteria were classified as benefit attributes, including price suitability relative to photo quality. Subsequently, the SAW method was applied to normalize scores and calculate preference values for ranking alternatives. The system generated rankings for six photobooth alternatives. Photoism ranked first with a preference value of 0.9761, followed by Our Self Studio (0.9668) and Cabox (0.8937). These findings demonstrate that SAW provides a structured approach to ranking alternatives based on predetermined criteria and weights. However, unequal respondent distribution across alternatives requires cautious interpretation. The findings are limited to the collected data and do not represent all photobooth users in Samarinda.

Jurnal ilmiah Sistem Informasi dan Ilmu KomputerVol. 6(3)
Mulawarman University (ID)
Decision Support System Applications
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