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All Journal ABDIMAS SILIWANGI JELTII (Journal of English Language Teaching and Islamic Integration) ILKOMNIKA: Journal of Computer Science and Applied Informatics JISO : Journal of Industrial and Systems Optimization Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Sains dan Teknologi Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Sewagati Nusantara Community Empowerment Review Nusantara Computer and Design Review
Achmad Mufliq
Departemen Sistem Informasi, Institut Teknologi Sepuluh Nopember, Kampus ITS, Keputih, Sukolilo, Surabaya 60111
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Penerapan Ant Colony Optimization Dengan Sentiment-Based Weighting Untuk Rekomendasi Rute Wisata Di Kota Makassar Nugroho, Rizky Aditya; Mufliq, Achmad
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1197

Abstract

Abstract An effective and relevant tourist route recommendation system is essential to support tourists in making informed decisions when planning efficient and enjoyable trips. This study aims to develop a tourist route recommendation model for Makassar City by implementing a modified Ant Colony Optimization (ACO) algorithm that incorporates user star ratings as weighting factors. The research adopts a computational experimental quantitative approach, consisting of six main stages: identifying tourist destinations, collecting star rating data and estimated travel times between locations, calculating rating-based weights, implementing the ACO algorithm, and evaluating the resulting routes. The data used include star ratings of tourist destinations obtained from digital platforms and estimated travel times retrieved through online mapping services. The results indicate that the ACO model combined with rating-based weighting successfully generates routes that are more preferred by users, as they balance travel efficiency with the quality of destinations. Compared to conventional models that consider only travel time, this hybrid model delivers higher recommendation value in terms of user satisfaction. The proposed model can be applied in the development of intelligent tour guide applications to enhance tourists’ travel experiences. Furthermore, this study opens opportunities for future development by incorporating additional supporting variables to make the system more adaptive and context-aware. Keywords: recommendation system, ant colony optimization, star rating, tourist route, Makassar City Abstrak Sistem rekomendasi rute wisata yang efektif dan relevan sangat dibutuhkan untuk mendukung pengambilan keputusan wisatawan dalam merencanakan perjalanan yang efisien sekaligus menyenangkan. Penelitian ini bertujuan untuk mengembangkan model rekomendasi rute wisata di Kota Makassar dengan mengimplementasikan algoritma Ant Colony Optimization (ACO) yang dimodifikasi dengan bobot berdasarkan rating bintang pengguna. Penelitian menggunakan pendekatan kuantitatif eksperimental berbasis komputasi dengan enam tahapan utama, mulai dari identifikasi destinasi wisata, pengumpulan data rating dan waktu tempuh antar lokasi, perhitungan bobot berbasis rating, implementasi ACO, hingga evaluasi hasil rute yang dihasilkan. Data yang digunakan meliputi rating bintang destinasi wisata dari platform digital serta estimasi waktu tempuh antar lokasi menggunakan layanan pemetaan daring. Hasil penelitian menunjukkan bahwa model ACO yang dikombinasikan dengan bobot rating mampu menghasilkan rute yang lebih disukai oleh pengguna karena menggabungkan efisiensi waktu dan kualitas destinasi. Dibandingkan dengan model konvensional yang hanya mempertimbangkan waktu tempuh, model hybrid ini memberikan nilai rekomendasi yang lebih tinggi dalam konteks kepuasan pengguna. Model yang dihasilkan dapat diimplementasikan dalam pengembangan aplikasi pemandu wisata berbasis sistem cerdas, khususnya untuk meningkatkan pengalaman perjalanan wisatawan. Penelitian ini juga membuka peluang untuk pengembangan lebih lanjut dengan menambahkan variabel-variabel pendukung lainnya agar sistem semakin adaptif dan kontekstual. Kata kunci: sistem rekomendasi, ant colony optimization, rating bintang, rute wisata, Kota Makassar
Co-Authors Abdillah, Ikhwan Agus Wibowo Ahmad Wahyudi Alhaq, Ahmad Khoir Almishbah, Zamzami Alviansyah, Muhammad Vargas Nur Alvisi Aura Chandra Angga Lisdiyanto Awang Andhyka Cahyono, Andy Kasum Dwy Djanah, Miftahul Erma Suryani Eskaluspita, Pratama Faiq Najib Al-Aziz Fauziana, Oktaviana Risma Fitrani, Laqma Dica Ganal Arief Rahmawan Hanifan Muhayat Haris Rafi Lisdiyanto, Angga Lutfiyah, Nanik Mu'min, Syahri Mubarrok, Much. Nasrulloh Al Nafia Ilhama Qurratu’aini Pratama Wirya Atmaja Purnomo, Ryan Putri, Ananda Zalwa Saskia Qurratu'aini, Nafia Rachmawati, Dwi Ayu Rizky Aditya Nugroho Rohman, Achmad Alfi Rully Agus Hendrawan Saputro, Arief Serra Charisma Viontita Siswanto, Markhaban Taqwanur Taqwanur, Taqwanur Tri Septianto Winarti ., Winarti Yulianti, Fransisca Eri Zawawi, Muhammad Fahmi Basyarahil