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All Journal Petir TEKNOLOGIA Jurnal Sisfotek Global
Palupiningsih, Pritasari
Institut Teknologi PLN
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics

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Journal : TEKNOLOGIA

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Klasifikasi Untuk Memprediksi Pembayaran Kartu Kredit Macet Menggunakan Algoritma C4.5 Putri Ayu Mardhiyah; Riki Ruli A. Siregar; Pritasari Palupiningsih
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Many credit card issuing companies experience problems related to bill payments by their customers or also known as bad credit payments that are not according to the agreement so that they are detrimental to the company itself. In this case, there is still a pile of unclassified credit cardholder customer data and problem-solving patterns are found. The C4.5 algorithm is used to predict whether a customer is a credit default payment or not. This study uses a data set that has determining criteria, namely the amount of credit, status, age, and payment status for 1-3 months. From the results of research using 4199 customer data results in an evaluation that the C4.5 algorithm is applied accurately to predict whether or not customer credit card payments are bad with an accuracy level of 70.93%.
Co-Authors Alwi Muhammad Budi Prayitno Dody Dody Eka Putra Firmansyah Apryadhi Nasril Sany Putri Ayu Mardhiyah Rakhmadi Irfansyah Putra Riki Ruli A. Siregar, Riki Ruli A.