HENI MARDIANTI, NPM 2109100036 (2025) PENENTUAN STATUS GIZI BALITA MENGGUNAKAN METODE ALGORITMA C4.5 DALAM SISTEM PENGAMBILAN KEPUTUSAN. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Status gizi balita merupakan indikator penting dalam menentukan kondisi kesehatan anak. Di Posyandu Desa Sei Tampang, proses penilaian gizi masih dilakukan secara manual sehingga rentan terhadap kesalahan dan kurang efisien. Penelitian ini bertujuan menerapkan algoritma C4.5 untuk mengklasifikasikan status gizi balita berdasarkan data antropometri (usia, berat badan, dan tinggi badan) dengan bantuan aplikasi RapidMiner. Metode yang digunakan adalah pendekatan kuantitatif sebagai landasan utama penelitian,karena metode ini memungkinkan pengukuran objektif terhadap numeric yang dikumpulkan. Proses klasifikasi dilakukan melalui perhitungan manual dan otomatis, kemudian hasilnya dievaluasi menggunakan confusion matrix. Hasil penelitian menunjukkan bahwa algoritma C4.5 mampu mengklasifikasikan status gizi dengan akurasi tinggi, dan penggunaan RapidMiner mempercepat proses analisis. Sistem ini diharapkan dapat membantu petugas Posyandu dalam pengambilan keputusan yang lebih cepat dan akurat. Kata Kunc i: Status Gizi Balita, Algoritma C4.5, RapidMiner, Sistem Pengambilan Keputusan ========================================================================================= Nutritional status of toddlers is an important indicator in determining children's health conditions. At the Posyandu in Sei Tampang Village, the assessment process is still conducted manually, making it prone to errors and inefficiency. This study aims to apply the C4.5 algorithm to classify toddlers’ nutritional status based on anthropometric data (age, weight, and height) with the assistance of the RapidMiner application. The method used is a quantitative approach as the main foundation of the research, as it allows for objective measurement of the collected numerical data. The classification process is carried out both manually and automatically, and the results are evaluated using a confusion matrix. The findings indicate that the C4.5 algorithm is capable of classifying nutritional status with high accuracy, and the use of RapidMiner accelerates the analysis process. This system is expected to assist Posyandu staff in making decisions more quickly and accurately. Keywords : Toddler Nutritional Status, C4.5 Algorithm, RapidMiner, Decision Support System
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Status Gizi Balita, Algoritma C4.5, RapidMiner, Sistem Pengambilan Keputusan================Toddler Nutritional Status, C4.5 Algorithm, RapidMiner, Decision Support System |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 20 Aug 2025 03:24 |
| Last Modified: | 20 Aug 2025 03:24 |
| URI: | http://repository.ulb.ac.id/id/eprint/1643 |
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