ESTD PERPUSTAKAAN UNTAD
ESTD PERPUSTAKAAN UNTAD
| JudulKlasifikasi Penentuan KRIDA (Kriteria Dasar) Anggota Saka Wira Kartika Kodim 1427/Pasangkayu Menggunakan Algoritma K-Nearest Neighbor |
| Nama: DECI NATALIA TASOIN |
| Tahun: 2025 |
| Abstrak DECI NATALIA TASOIN. Classification for Krida Determination of Saka Wira Kartika Members at Kodim 1427/Pasangkayu Using the K-Nearest Neighbor Algorithm. Supervised by DWI SHINTA ANGRENI. The determination of Krida (Basic Criteria) for members of Saka Wira Kartika (SWK) at Kodim 1427/Pasangkayu is often conducted subjectively, posing a risk of mismatch with the members' potential. This research aims to design an objective classification model for Krida determination using the K-Nearest Neighbor (KNN) algorithm. This study utilized a dataset comprising 101 SWK members with five assessment parameters: Nature Interest, Physical Condition, Navigation, Discipline, and Teamwork. The model was implemented using the Google Colab platform, with the data split into 80% training data and 20% testing data. Data normalization using StandardScaler was applied to equalize the scale between features. The results indicate that the KNN algorithm successfully classified the Krida with a model accuracy of 90%. The optimal K value that yielded the best performance was K=1. This prototype is expected to serve as an efficient and objective decision-support tool for instructors in guiding SWK members according to their talents and abilities. Keywords: K-Nearest Neighbor, Classification, Krida, Saka Wira Kartika, Machine Learning |