Pengklasifikasian status desa dengan metode algoritma c4.5 sebagai dasar penentuan kebijakan pembangunan

Abstract

Survey conducted by BPS-Statistics Indonesia showed the Indonesia’s population condition, such as poverty. Poverty indicators used by BPS-Statistics Indonesia were different with the other indicators, such as the World Bank and Sajogyo’s poverty indicators. However, those indicators have not been able to solve the most problem’s issue at Indonesia—poverty. Therefore, the policy’s makers and community should have village status classification with a method that is easily accessible and can be used as a basis for determining the basis of rural development policy. So far, the economics aspect is considered as the most sensitive aspects that caused poverty. Therefore, poverty alleviation programs in Indonesia were intended to increase economic welfare, but till now, the poverty problem has not been resolved yet. It showed us that economic aspect was not the main cause of poverty. In addition, those programs were not implemented to the right target. This study aimed to find the most sensitive indicator that causes poverty at villages in Indonesia and to determine the proper community development programs in each area. The research method was divided into two: (1) Determine the classification of the village poverty’s status by C4.5 algorithm technique; (2) Observation and livelihood assets analysis at some villages. This study was conducted at 351 villages in Tasikmalaya Kabupaten. This study showed that there were eleven indicators that caused poverty in Tasikmalaya. These eleven indicators were grouped into three aspects: education, health and economic. After the data was classified and processed by C4.5 algorithms technique, it was found that the most sensitive indicators caused poverty: 1) the dropout rates (education aspects); 2) malnutrition rates (health aspect); 3) farm laborers rates (economic).