Abstract
The Family of Hope Program (PKH) is a poverty reduction program in the education and public health aspects provided by the government either directly or indirectly. The government continues to make efforts in order to educate the community through social assistance programs to tackle the poor. In order to create a smart society, the government should make programs that are empowering so that people can solve their own problems. There are many in Indonesia who receive the family hope program (PKH), one of which is in the Cirebon district. Problems often occur with the empowerment assistance program from the government, one of which is the PKH assistance, which still does not target the residents who receive the assistance. The emergence of this problem, due to the ineffective data verification in determining which citizens are entitled to receive PKH assistance, this has resulted in many very poor people who do not receive PKH assistance and those classified as capable are still given PKH assistance. Therefore, it is necessary to conduct a study of PKH beneficiary data, so that the results of the analysis can be used as a reference for whether or not residents are eligible to receive PKH assistance. The research that was conducted to predict the data of recipients of the expected family assistance using the data mining classification method using the C4.5 algorithm. The results of the data mining process are used as evaluation material for the government. After testing with the C4.5 algorithm, the test results for the best parameter of the C4.5 algorithm are criterion = accuracy, confidence = 0.25 and a minimum gain = 0.1 to produce an accuracy value of 98.30%
Highlights
Abstrak- Program Keluarga Harapan (PKH) merupakan program penanggulangan kemiskinan dalam aspek di bidang pendidikan dan kesehatan masyarakat yang diberikan oleh pemerintah baik secara langsung maupun tidak langsung
Setelah dilakukan pengujian dengan algoritma C4.5 maka hasil uji nilai optimum parameter algoritma C4.5 terbaik yaitu dengan parameter criterion = accuracy, confidence=0.25 dan minimal gain= 0.1 dengan menghasilkan nilai accuracy 98.30%
Dalam penelitian ini data yang dipakai adalah data penerima bantuan keluarga harapan di kecamatan sumber kabupaten Cirebon dengan jumlah 4347 record
Summary
Abstrak- Program Keluarga Harapan (PKH) merupakan program penanggulangan kemiskinan dalam aspek di bidang pendidikan dan kesehatan masyarakat yang diberikan oleh pemerintah baik secara langsung maupun tidak langsung. Penelitian yang dilakukan untuk memprediksi data penerima bantuan keluarga harapan menggunakan metode klasifikasi data mining dengan menggunakan algoritma C4.5. Hasil dari proses data mining sebagai bahan evaluasi bagi pemerintah. Bahan pangan ataupun non-pangan, dalam rangka menanggulangi masalah kemiskinan, pemerintah Indonesia memiliki berbagai program terintegrasi salah satunya adalah Program Keluarga Harapan (PKH).
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