Design and Implementation of A Tourist Destination Recommendation System Based on Hybrid Content-Based Filtering & Collaborative Filtering

Anindya, Aileen (2026) Design and Implementation of A Tourist Destination Recommendation System Based on Hybrid Content-Based Filtering & Collaborative Filtering. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Advances in digital technology in the tourism sector have improved access to information, but at the same time have led to information overload for tourists who struggle to choose travel destinations that match their personal preferences. This study aims to develop a web-based travel destination recommendation system in Blora Regency to assist tourists in making travel decisions. This system was developed by integrating data on 50 official travel destinations from the Blora Regency Office of Youth, Sports, Culture, and Tourism (Dinporabudpar) along with preference data from 50 tourist users. The method used is the Hybrid Recommender System, which combines Content-Based Filtering (using TF-IDF weighting and Cosine Similarity) with Collaborative Filtering (using User-Based Cosine Similarity). Functionality testing via Black Box Testing showed that all system features functioned correctly (100%). Additionally, accuracy testing using the Precision@3 method yielded an average value of 0.81, indicating that the system is capable of providing relevant and personalized destination recommendations to users. The implementation of this system is expected to support the digital transformation of the local tourism sector and increase the distribution of tourist visits in Blora Regency.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Anggraeny, Fetty Tri	NIDN0711028201	fettyanggraeny.if@upnjatim.ac.id
Thesis advisor	Mumpuni, Retno	NIDN0016078703	retnomumpuni.if@upnjatim.ac.id

Subjects:

T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.882 Internet
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 World Wild Web

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

aileen anindya r

Date Deposited:

24 Jul 2026 07:26

Last Modified:

24 Jul 2026 07:26

URI:

https://repository.upnjatim.ac.id/id/eprint/57601