Muhammad Zaki Pradana, . (2025) RANCANG BANGUN SISTEM KLASIFIKASI PRODUK BERDASARKAN STATUS HALAL BERBASIS WEB MENGGUNAKAN METODE NAIVE BAYES. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The purpose of this study is to create and develop a web-based halal product status classification system through the use of the Naïve Bayes algorithm. The background of this study is based on the importance of product halal assurance for the Muslim community and the complexity of the manual certification process. The data used comes from Open Food Facts, which contains a list of food product ingredients. The data preprocessing stages include cleaning, case folding, and data weighting. The implementation and evaluation of the Naïve Bayes model were carried out by applying the metrics of accuracy, F1-score, recall, and precision. The research shows that the model results can achieve an accuracy of 93.72%, an F1-score of 88.96%, a recall of 89.64%, and a precision of 93.94%. A locally run web system was then built using the Flask framework to integrate the trained model. Functional testing of the system proved that it could classify halal status based on ingredient list input properly. This research is expected to serve as the basis for the development of more complex and integrated halal verification systems in the future.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110512106] [Pembimbing 1: Neny Rosmawarni] [Pembimbing 2: Ika Nurlaili Isnainiyah] [Penguji 1: Tri Rahayu] [Penguji 2: Anita Muliawati] |
| Uncontrolled Keywords: | Naïve Bayes, Classification, Product, Halal |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | MUHAMMAD ZAKI PRADANA |
| Date Deposited: | 22 Mar 2026 07:11 |
| Last Modified: | 22 Mar 2026 07:11 |
| URI: | http://repository.upnvj.ac.id/id/eprint/40803 |
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