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All Journal CHAIN: Journal of Computer Technology, Computer Engineering and Informatics
Cyndrika Rany Philipus
Universitas Sam Ratulangi
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Pemilihan Tempat Menginap di Kota Tomohon Menggunakan Metode Entropy-TOPSIS Berbasis Data Online Travel Agent Bidadari Yuritza Destilasilika; Sanriomi Sintaro; Cyndrika Rany Philipus; Ricardo Gianluigi Tindi
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i2.246

Abstract

Perkembangan platform online travel agent telah mengubah cara wisatawan mencari, membandingkan, dan memilih tempat menginap. Informasi digital seperti harga, rating, jumlah ulasan, fasilitas yang terlihat, dan urutan popularitas membantu wisatawan menilai berbagai alternatif, tetapi banyaknya informasi juga dapat menyulitkan proses pengambilan keputusan. Penelitian ini bertujuan membangun model Sistem Pendukung Keputusan pemilihan tempat menginap di Kota Tomohon menggunakan metode Entropy-TOPSIS berbasis data online travel agent. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data sekunder yang dikumpulkan pada 1 Mei 2026. Sebanyak 12 alternatif penginapan dianalisis berdasarkan lima kriteria, yaitu harga, rating, jumlah ulasan, fasilitas terlihat, dan urutan popularitas. Metode Entropy digunakan untuk menentukan bobot kriteria secara objektif berdasarkan variasi data, sedangkan TOPSIS digunakan untuk menentukan peringkat alternatif berdasarkan kedekatan terhadap solusi ideal positif dan jarak terhadap solusi ideal negatif. Hasil penelitian menunjukkan bahwa jumlah ulasan memiliki bobot tertinggi sebesar 0,3602, diikuti fasilitas terlihat sebesar 0,3362, urutan popularitas sebesar 0,1670, harga sebesar 0,1332, dan rating sebesar 0,0034. Hasil TOPSIS menunjukkan bahwa Jhoanie Hotel memperoleh nilai preferensi tertinggi sebesar 0,7502, diikuti Grand Master Villa Tomohon sebesar 0,4799 dan Hotel Villa Emitta sebesar 0,4078. Temuan ini menunjukkan bahwa pemilihan tempat menginap perlu mempertimbangkan beberapa kriteria secara bersamaan, bukan hanya harga atau rating, sehingga rekomendasi yang dihasilkan lebih objektif.
Two-Stage Entropy-Topsis Model For Hotel And Ecotourism Destination Selection in Bitung, North Sulawesi, Indonesia Cyndrika Rany Philipus; Sanriomi Sintaro; Ricardo Gianluigi Tindi; Bidadari Yuritza Destilasilika
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i2.247

Abstract

This study develops a Two-Stage Entropy-TOPSIS model for hotel and ecotourism destination selection in Bitung, North Sulawesi, Indonesia. The model reflects a realistic tourist decision process, where tourists first select a hotel from the airport and then choose ecotourism destinations from the selected hotel as the starting point. Data were collected from Google Maps, including rating, number of reviews, distance, travel time, hotel facility score, and ecotourism suitability score. In the first stage, eight hotel alternatives were evaluated based on Google Maps rating, number of reviews, distance from Sam Ratulangi Airport, travel time from the airport, and facility score. The Entropy method was used to determine objective criteria weights, while TOPSIS was applied to rank alternatives. The results showed that favehotel Bitung ranked first with a preference value of 0.9999 and was selected as the origin point for the second stage. In the second stage, ecotourism destinations were evaluated using the selected hotel as the starting point. The main calculation included destinations with complete road-based accessibility data. The results showed that Kebun Binatang Tandurusa ranked first with a preference value of 0.9989, followed by Batuangus Beach, Pantai Tanjung Merah, and Pantai Lilang. These findings indicate that the proposed model can provide structured, sequential, and data-driven recommendations for tourism decision-making based on Google Maps data
Co-Authors Bidadari Yuritza Destilasilika Ricardo Gianluigi Tindi Sanriomi Sintaro