Al-Aqsa Krisnaya Abidin, . (2024) PENERAPAN ALGORITMA FUZZY TAHANI PADA SISTEM REKOMENDASI PUSAT KEBUGARAN MENGGUNAKAN FORMULA HAVERSINE DAN K-NEAREST NEIGHBOR. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The healthcare sector has significantly evolved over the past decade due to technological advancements that ease access to healthcare services, both clinical and non-clinical. The COVID-19 pandemic in late 2019 further accelerated the adoption of digital technology in daily activities, including health and fitness maintenance. Post-pandemic, fitness activities have become highly popular for improving physical and mental conditions. Fitness centers have become increasingly popular, especially in urban areas like Jakarta. However, people often struggle to find fitness centers that meet their needs, budget, and location. This study aims to develop a web-based fitness center recommendation system using the Fuzzy Tahani algorithm, K-Nearest Neighbor (K-NN), and the Haversine formula to provide recommendations based on user preferences and location. The system features two main functions: recommendations based on user-filled criteria (price, rating, facilities, benefits) using the Fuzzy Tahani algorithm, and recommendations based on the history of visited fitness center pages using content-based filtering with K-NN and the Haversine formula. The method involves applying the Fuzzy Tahani algorithm, defining variables and fuzzy sets, forming membership functions, fuzzification, fuzzy query processing, determining membership degrees, and compiling recommendations. The system also implements a content-based filtering technique that tracks user preferences implicitly based on page visit history, calculating similarities between unvisited and previously visited fitness centers. Results show that the developed system provides alternative fitness centers matching user preferences with an average similarity accuracy of 86.79%. This system assists potential customers in selecting fitness centers without visiting and inquiring directly.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010511102] [Pembimbing: Zatin Niqotaini] [Penguji 1: Widya Cholil] [Penguji 2: Nindy Irzavika] |
| Uncontrolled Keywords: | fuzzy, recommendation system, fitness center, content-based filtering, KNN |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | AL-AQSA KRISNAYA ABIDIN |
| Date Deposited: | 30 Jul 2024 03:34 |
| Last Modified: | 05 Sep 2024 07:44 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31590 |
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