Rizky Suryasyah, . (2025) SISTEM PREDIKSI PENYAKIT DIABETES MELITUS PADA PUSKESMAS LIMO. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Diabetes Mellitus (DM) is a metabolic disease characterized by high blood sugar levels. This condition occurs due to impaired insulin secretion, insulin action, or both simultaneously. Diabetes mellitus is one of the leading causes of serious complications such as heart disease, stroke, and kidney failure. In Depok city, the number of Diabetes Mellitus cases has shown a fluctuating trend from 2019 to 2023, with a total exceeding 232,000 cases. In response to this condition, this study aims to design a simple web-based prediction system to help predict a person's potential risk of developing diabetes mellitus. The research utilizes initial medical record data of patients from Puskesmas Limo during 2023–2024 and implements the Random Forest algorithm, which has proven to have high accuracy in classification and prediction. The model's accuracy using Random Forest reached 98.26%, indicating that the model performed exceptionally well. The system was developed using the Flask framework as the main platform. In its development process, the author applied the waterfall method as the software development approach. The system is expected to assist healthcare professionals in making quick and accurate decisions, as well as support more effective planning for diabetes prevention programs.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110512059] [Pembimbing 1: Nur Hafifah Matondang] [Pembimbing 2: Nindy Irzavika] [Penguji 1: Bambang Saras Yulistiawan] [Penguji 2: Iin Ernawati] |
| Uncontrolled Keywords: | Diabetes mellitus, framework flask, disease prediction, random forest |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | RIZKY SURYASYAH |
| Date Deposited: | 15 Aug 2025 07:55 |
| Last Modified: | 15 Aug 2025 07:55 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37042 |
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