Julianto, Dwi Julianto (2024) Sistem Rekomendasi Sepatu Lari Menggunakan Content Base Filtering. S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.
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Abstract
Sepatu lari memiliki peran krusial dalam mendukung kinerja dan kesehatan pelari. Popularitas lari di Indonesia terus meningkat di kalangan remaja dan dewasa muda, baik sebagai latihan kebugaran maupun hobi. Memilih sepatu lari yang tepat sangat penting untuk meningkatkan performa dan mencegah cedera. Penelitian ini bertujuan membantu pelari dalam memilih sepatu lari dengan metode Content-Based Filtering. Metode ini merekomendasikan sepatu berdasarkan kemunculan term atau kata pada sisi pengguna, diikuti dengan pembobotan menggunakan rumus TF-IDF untuk menghasilkan rekomendasi. ============================================================ Running shoes have a crucial role in supporting runners' performance and health. The popularity of running in Indonesia continues to increase among teenagers and young adults, both as a fitness exercise and a hobby. Choosing the right running shoes is very important to improve performance and prevent injury. This research aims to help runners choose running shoes using the Content-Based Filtering method. This method recommends shoes based on the appearance of terms or words on the user's side, followed by weighting using the TF-IDF formula to produce recommendations.
Item Type: | Thesis (S1 Teknik Informatika) |
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Additional Information: | Pembimbing 1 : Wahyuni, S.Kom., M.Kom. Pembimbing 2 : Pitrasacha Aditya S.T., M.T. |
Uncontrolled Keywords: | Penerapan, Content-Based Filtering, Sistem Rekomendasi, Sepatu Lari |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Teknik Informatika |
Depositing User: | Mitra Dwi Julianto Julianto |
Date Deposited: | 09 Aug 2024 07:30 |
Last Modified: | 09 Aug 2024 07:30 |
URI: | http://repository.wicida.ac.id/id/eprint/5884 |
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