Rancang Bangun Sistem Rekomendasi Tempat Gym Di Surabaya Timur Dengan Pendekatan Hybrid Berbasis Content-Based Filtering dan Collaborative Filtering Design and Construction of a Gym Recommendation System in East Surabaya Using a Hybrid Approach Based on Content-Based Filtering and Collaborative Filtering

Bude, Antonia Febrianti (2025) Rancang Bangun Sistem Rekomendasi Tempat Gym Di Surabaya Timur Dengan Pendekatan Hybrid Berbasis Content-Based Filtering dan Collaborative Filtering Design and Construction of a Gym Recommendation System in East Surabaya Using a Hybrid Approach Based on Content-Based Filtering and Collaborative Filtering. Undergraduate thesis, Univeristas 17 Agustus 1945 Surabaya.

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Abstract

The growing popularity of gyms has led to the emergence of many gyms in various regions, including East Surabaya. While the wide selection of gyms with diverse facilities does provide advantages, it also makes it difficult for prospective members to determine the gym that best suits their preferences and needs. To address this issue, this study developed a website-based decision support system that provides recommendations for selecting gyms in East Surabaya. This system uses a hybrid method based on Content-Based Filtering and Collaborative Filtering. Content-based filtering provides recommendations based on user preferences, considering criteria such as location, price, operating hours, equipment quality, security, cleanliness, and additional facilities. The algorithm used in this method is cosine similarity. Meanwhile, collaborative filtering provides recommendations based on gym rating data obtained from Google Maps. The algorithm used in the weighted Jaccard similarity method. The two methods are combined using two hybrid techniques: feature combination, where the results of content-based filtering are used as input for collaborative filtering, and mixed, where the final results of both methods are displayed simultaneously. System testing was conducted using white box unit testing, white box path testing, comparison of system calculation results with Excel, and questionnaire testing comparing expectations and system results. The test results showed that: 27 unit testing tests resulted in a PASS status, 3 path testing tests also resulted in a PASS, and 12 system and Excel comparison tests showed accurate results. Meanwhile, the questionnaire results showed a level of conformity between user expectations and the system was 57%, this is because human choices are often biased and inconsistent.

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