PERANCANGAN SISTEM REKOMENDASI AKOMODASI PADA EVENT KONSER DENGAN METODE HYBRID FILTERING: Rule-Based System dan User-Based Collaborative Filtering

Azzahra Alika Putri Yudha, - and Munir, - and Ani Anisyah, - (2025) PERANCANGAN SISTEM REKOMENDASI AKOMODASI PADA EVENT KONSER DENGAN METODE HYBRID FILTERING: Rule-Based System dan User-Based Collaborative Filtering. S1 thesis, Universitas Pendidikan Indonesia.

Abstract

Perkembangan teknologi digital telah mengubah pola konsumsi hiburan masyarakat, termasuk dalam hal menghadiri konser musik. Peningkatan jumlah konser di Indonesia turut mendorong tingginya mobilitas masyarakat lintas daerah, sehingga kebutuhan terhadap informasi akomodasi, restoran, dan transportasi di sekitar lokasi konser menjadi semakin penting. Namun, banyak pengguna mengalami kesulitan dalam memilih akomodasi yang sesuai akibat informasi yang berlimpah (information overload). Untuk menjawab permasalahan tersebut, penelitian ini bertujuan untuk mengembangkan sistem rekomendasi berbasis web yang dapat memberikan rekomendasi hotel, restoran, dan transportasi secara personal dan relevan berdasarkan preferensi pengguna serta lokasi konser. Sistem dikembangkan dengan pengembangan prototype dan dibangun menggunakan pendekatan hybrid filtering, yaitu kombinasi antara rule-based system dan user-based collaborative filtering dengan metode perhitungan cosine similarity. Sistem ini diimplementasikan menggunakan Flask untuk backend dan Vue.js untuk frontend, serta diuji menggunakan metode System Usability Scale (SUS). Hasil pengujian usability yang dilakukan kepada 20 responden menghasilkan skor akhir 90.875, yang menunjukkan bahwa sistem berada pada kategori Excellent dan telah diterima dengan sangat baik oleh pengguna. Sistem rekomendasi ini diharapkan dapat membantu pengguna dalam mengambil keputusan yang tepat dan efisien terkait akomodasi konser, serta mendukung kemajuan industri konser di Indonesia. The development of digital technology has changed people's entertainment consumption patterns, including attending music concerts. The increase in the number of concerts in Indonesia also encourages the high mobility of people across regions, so the need for information on accommodation, restaurants, and transportation around concert locations has become increasingly important. However, many users experience difficulties in choosing suitable accommodation due to information overload. To answer these problems, this research aims to develop a web-based recommendation system that can provide personalized and relevant recommendations for hotels, restaurants, and transportation based on user preferences and concert locations. The system was developed with prototype development and built using a hybrid filtering approach, which is a combination of rule-based system and user-based collaborative filtering with cosine similarity calculation method. The system was implemented using Flask for the backend and Vue.js for the frontend and tested using the System Usability Scale (SUS) method. The results of usability testing conducted on 20 respondents resulted in a final score of 90.875, which indicates that the system is in the Excellent category and has been very well received by users. This recommendation system is expected to help users make the right and efficient decisions regarding concert accommodation and support the progress of the concert industry in Indonesia.

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Item Type:	Thesis (S1)
Additional Information:	https://scholar.google.com/citations?hl=en&user=X_QM7_wAAAAJ ID SINTA Dosen Pembimbing: Munir: 5974517 Ani Anisyah: 6786982
Uncontrolled Keywords:	Akomodasi, Hybrid Filtering, Metode Prototype, Rule-Based System, User-Based Collaborative Filtering Accommodation, Hybrid Filtering, Prototype Method, Recommendation System, Rule-Based System, User-Based Collaborative Filtering
Subjects:	L Education > L Education (General) Q Science > QA Mathematics T Technology > T Technology (General)
Divisions:	Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Ilmu Komputer
Depositing User:	Azzahra Alika Putri Yudha
Date Deposited:	08 Sep 2025 08:23
Last Modified:	08 Sep 2025 08:23
URI:	http://repository.upi.edu/id/eprint/137965

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