KUSUMANINGSIH, DIANA (2025) KLASTERISASI KELAYAKAN PENERIMA PKH DAN BLT DI CENGKARENG TAHUN 2024 MENGGUNAKAN K-MEANS DAN SVM. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Poverty is a major challenge faced by many countries, especially developing countries like Indonesia. To address this issue, the government has launched the Family Hope Program (PKH) and Direct Cash Assistance (BLT), which provide cash assistance to help low-income families meet their basic needs and improve their quality of life. This policy is based on the high number of poor families who have difficulty meeting their daily needs and have limited access to education and health services. This study aims to evaluate the effectiveness of the PKH program in improving the welfare of poor families in Indonesia. Data analysis using the KMeans and Support Vector Machine (SVM) algorithms to evaluate the impact of the program on education and health aspects. Data processing applications are also used to identify factors that contribute to the success of this program. The results of the study show that the PKH and BLT programs have a positive effect on the welfare of poor families, especially in improving children's education and family health. These findings support the idea that cash assistance can be an effective step in reducing poverty in Indonesia, as long as the program is distributed appropriately and evaluated regularly. Keywords: K-Means, Support Vector Machine (SVM), Direct Cash Assistance (BLT), Family Hope Program (PKH), Poverty Kemiskinan merupakan tantangan besar yang dihadapi banyak negara, khususnya negara berkembang seperti Indonesia. Untuk mengatasi masalah ini, pemerintah telah meluncurkan Program Keluarga Harapan (PKH) dan Bantuan Langsung Tunai (BLT), yang menyediakan bantuan tunai guna membantu keluarga berpenghasilan rendah dalam memenuhi kebutuhan dasar dan meningkatkan kualitas hidup mereka. Kebijakan ini didasari oleh tingginya jumlah keluarga miskin yang kesulitan mencukupi kebutuhan sehari-hari dan memiliki keterbatasan akses terhadap pendidikan serta layanan kesehatan. Penelitian ini bertujuan untuk mengevaluasi efektivitas program PKH dalam meningkatkan kesejahteraan keluarga miskin di Indonesia. Analisis data melalui algoritma K-Means dan Support Vector Machine (SVM) untuk mengevaluasi dampak program terhadap aspek pendidikan dan kesehatan. Aplikasi pengolahan data juga digunakan untuk mengidentifikasi faktor-faktor yang berkontribusi terhadap keberhasilan program ini. Hasil penelitian menunjukkan bahwa program PKH dan BLT berpengaruh positif terhadap kesejahteraan keluarga miskin, terutama dalam meningkatkan pendidikan anak-anak dan kesehatan keluarga. Temuan ini mendukung gagasan bahwa bantuan tunai dapat menjadi langkah efektif dalam mengurangi kemiskinan di Indonesia, selama program ini didistribusikan secara tepat dan dievaluasi secara berkala. Kata kunci: K-Means, Support Vector Machine (SVM), Bantuan Langsung Tunai(BLT), Program Keluarga Harapan (PKH), Kemiskinan
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