Mountain Selection for Beginner Climbers:a Simple Additive Weighting (SAW) Method

Over the years, mountain climbing has become more popular among ordinary people, with interest suddenly spiking during this recent time. A well-prepared and route-knowledgeable climber is most likely to win half the battle. The task of selecting a mountain for first-time climbers can be a daunting one. The Simple Additive Weighting (SAW) method can help beginner climbers determine which mountain is best for them. This method enables users to assign weights to each criterion and alternative based on their preferences, facilitating direct comparisons between options, and calculating all possible combinations, making the process faster and more accurate. According to this study, a campsite, mountain height, natural resources, mountain beauty, and terrain difficulty are major factors to consider when choosing a mountain. The alternatives consist of six mountains in North Sulawesi—Mount Klabat, Lokon, Soputan, Mahawu, Empung, and Tampusu—assessed according to the established criteria. In conclusion, the Decision Support System using the SAW method was successfully developed to help beginner climbers choose mountains based on their preferences. This system includes features such as mountain search, SAW calculations, and top recommendations. Future updates could consist of more detailed mountain specifications and a broader selection of mountains.

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Publication Details

Journal
Journal of Information Technology and Its Utilization
Published
2024-12-27
DOI
https://doi.org/10.56873/jitu.7.2.5859
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Mountain Selection for Beginner Climbers:a Simple Additive Weighting (SAW) Method

Liza Wikarsa, Michael George Sumampouw, Christofel Mario Tore
Journal of Information Technology and Its Utilization
Winter Sports Injuries and Performance
article

Mountain Selection for Beginner Climbers:a Simple Additive Weighting (SAW) Method

Liza Wikarsa, Michael George Sumampouw, Christofel Mario Tore
article en

Abstract

Over the years, mountain climbing has become more popular among ordinary people, with interest suddenly spiking during this recent time. A well-prepared and route-knowledgeable climber is most likely to win half the battle. The task of selecting a mountain for first-time climbers can be a daunting one. The Simple Additive Weighting (SAW) method can help beginner climbers determine which mountain is best for them. This method enables users to assign weights to each criterion and alternative based on their preferences, facilitating direct comparisons between options, and calculating all possible combinations, making the process faster and more accurate. According to this study, a campsite, mountain height, natural resources, mountain beauty, and terrain difficulty are major factors to consider when choosing a mountain. The alternatives consist of six mountains in North Sulawesi—Mount Klabat, Lokon, Soputan, Mahawu, Empung, and Tampusu—assessed according to the established criteria. In conclusion, the Decision Support System using the SAW method was successfully developed to help beginner climbers choose mountains based on their preferences. This system includes features such as mountain search, SAW calculations, and top recommendations. Future updates could consist of more detailed mountain specifications and a broader selection of mountains.

Journal of Information Technology and Its UtilizationVol. 7(2)
De La Salle Catholic University (ID)
De La Salle University
Openalex Percentile: Top 54%
Winter Sports Injuries and Performance
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Mountain Selection for Beginner Climbers:a Simple Additive Weighting (SAW) Method — Liza Wikarsa, Michael George Sumampouw, et al. · Journal of Information Technology and Its Utilization (2024) | TGRS Research Map | TGRS