Klasifikasi Faktor yang Mempengaruhi APS Dengan IPM di Kab/Kota Provinsi Papua pada Algoritma Decision Tree C4.5
Keywords:
School Participation Rates, Human Development Index, Decision Tree, C4.5 Algorithm, Papua Province.Abstract
This research aims to identify the most significant factors influencing school participation rates (APS) in Papua Province's districts and cities using Human Development Index (IPM) indicators and the C4.5 decision tree algorithm. The data includes APS and IPM from various districts and cities in Papua Province for the period 2019-2021. Data processing was conducted using RapidMiner, employing the gain ratio criterion for the decision tree algorithm. The analysis reveals several significant factors affecting APS, such as socio-economic conditions, teacher quality, and physical accessibility to schools. The resulting decision tree provides insights into how each factor specifically impacts APS in each district and city. High IPM districts generally show high APS. For instance, Jayapura District consistently demonstrates high APS across all education levels in alignment with its high IPM. Conversely, low IPM districts like Tolikara exhibit low APS across all education levels, indicating a need for focused interventions to enhance living conditions and educational access.
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