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All Journal Jurnal Teknik Informatika C.I.T. Medicom
Ni Ketut Ayu Purnama Sari
Universitas Pendidikan Ganesha
Computer Science & IT

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Penerapan Metode AHP-SAW dalam Sistem Pendukung Keputusan Pemilihan Desa Wisata Terbaik Ni Ketut Ayu Purnama Sari
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 1 (2021): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.51.pp23-32

Abstract

From the perspective of advanced tourism growth, Indonesia's economy is expected to enter the top ten in the world by 2025 before the 2020 COVID-19 pandemic. Balinese workforce absorbs nearly a third of the total population and Balinese are involved in tourism. Garbage and congestion are problems the government must solve in building a better Bali tourism industry in the future. One way to solve this problem is to develop rural ecotourism, which can choose to use a decision support system. In this study, the method used was a combination of AHP-SAW. This manual DSS calculation process can be implemented in web-based software. DSS employs 3 tourists as decision maker. There are 10 alternative tourism villages tested using AHP-SAW, and the tourist villages produced by Pemuteran are the most popular tourist villages. Pemuteran Tourism Village obtained a score of 0.9241. Jatiluwih Tourism Village obtained a score of 0.9117 in second place; Plaga Tourism Village obtained a score of 0.9115 in third place.
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