KLASIFIKASI KELAYAKAN KREDIT CALON DEBITUR BANK MENGGUNAKAN ALGORITMA DECISION TREE C4.5 - UDiNus Repository
61
DAFTAR PUSTAKA
[1] Pardede, Teori Model dan Kebijakan. Jogyakarta, Indonesia: Andi, 2004.
[2] Gunardi, "Analisis Kredit Bermasalah," STIE Malang Kucecwara, Malang,
Magister Thesis 2009.
[3] Adi Sucipto, "Prediksi Kredit macet Melalui Perilaku Nasabah Pada Koperasi
Simpan Pinjam Dengan menggunakan Metode Algoritma Klasifikasi C4.5,"
DISPOTEK, vol. 6, no. 1, Januari 2015.
[4] XiYue Zhou, DeFu Zhang, and Yi Jiang, "New Credit Scoring Method Based on
Rough Sets and Decision Tree," Springer-Verlag Berlin Heidelberg, 2008.
[5] Suwondo and Stefanus Santoso, "Credit scoring mrnggunakan metode support
vector machine dengan teknik seleksi atribut berbasis chi squared statistic dan
particle swarm optimization," Jurnal Teknologi Informasi, vol. 10, no. 1, April
2014.
[6] Didik Madyatmadja Evaristus and Aryuni Mediana, "COMPARATIVE STUDY
OF DATA MINING MODEL FOR CREDIT CARD APPLICATION SCORING
IN BANK ," Journal of Theoretical and Applied Information Technology, vol.
59, no. 2, pp. 269-274, Januari 2014.
[7] Umar Shafique and Haseeb Qaiser, "A Comparative Study of Data Mining
Proses Model (KDD, CRIPS-DM and SEMMA)," International Journal of
Innovation and Scientific Research, vol. 12, no. 1, pp. 217-222, November 2014.
[8] Kusrini and Luthfi E. T, Algoritma Data Mining. Yogyakarta: Andi, 2009.
[9] Eko Prasetyo, Data Mining : Konsep dan Aplikasi menggunakan MATLAB, 1st
ed. Yogyakarta, Indonesia: Andi, 2012.
[10] Deny Cahya Mahendra, "Klasifikasi Data Debitur Untuk Menentukan Kelayakan
Kredit Dengan Menggunakan Metode Naive Bayes," Universitas Dian
Nuswantoro, Semarang, Skripsi 2015.
[11] Ricardus Anggi Pramunendar, Ika Novita Dewi, and Hasan Asari, "Penentuan
61
62
Prediksi Awal Penyakit Jantung Menggunakan Algoritma Back Propagation
Neural
Network
dengan
Metode
Adaboost,"
SEMINAR
NASIONAL
TEKNOLOGI INFORMASI & KOMUNIKASI TERAPAN 2013 (SEMANTIK
2013), pp. 298-304, November 2013.
62
DAFTAR PUSTAKA
[1] Pardede, Teori Model dan Kebijakan. Jogyakarta, Indonesia: Andi, 2004.
[2] Gunardi, "Analisis Kredit Bermasalah," STIE Malang Kucecwara, Malang,
Magister Thesis 2009.
[3] Adi Sucipto, "Prediksi Kredit macet Melalui Perilaku Nasabah Pada Koperasi
Simpan Pinjam Dengan menggunakan Metode Algoritma Klasifikasi C4.5,"
DISPOTEK, vol. 6, no. 1, Januari 2015.
[4] XiYue Zhou, DeFu Zhang, and Yi Jiang, "New Credit Scoring Method Based on
Rough Sets and Decision Tree," Springer-Verlag Berlin Heidelberg, 2008.
[5] Suwondo and Stefanus Santoso, "Credit scoring mrnggunakan metode support
vector machine dengan teknik seleksi atribut berbasis chi squared statistic dan
particle swarm optimization," Jurnal Teknologi Informasi, vol. 10, no. 1, April
2014.
[6] Didik Madyatmadja Evaristus and Aryuni Mediana, "COMPARATIVE STUDY
OF DATA MINING MODEL FOR CREDIT CARD APPLICATION SCORING
IN BANK ," Journal of Theoretical and Applied Information Technology, vol.
59, no. 2, pp. 269-274, Januari 2014.
[7] Umar Shafique and Haseeb Qaiser, "A Comparative Study of Data Mining
Proses Model (KDD, CRIPS-DM and SEMMA)," International Journal of
Innovation and Scientific Research, vol. 12, no. 1, pp. 217-222, November 2014.
[8] Kusrini and Luthfi E. T, Algoritma Data Mining. Yogyakarta: Andi, 2009.
[9] Eko Prasetyo, Data Mining : Konsep dan Aplikasi menggunakan MATLAB, 1st
ed. Yogyakarta, Indonesia: Andi, 2012.
[10] Deny Cahya Mahendra, "Klasifikasi Data Debitur Untuk Menentukan Kelayakan
Kredit Dengan Menggunakan Metode Naive Bayes," Universitas Dian
Nuswantoro, Semarang, Skripsi 2015.
[11] Ricardus Anggi Pramunendar, Ika Novita Dewi, and Hasan Asari, "Penentuan
61
62
Prediksi Awal Penyakit Jantung Menggunakan Algoritma Back Propagation
Neural
Network
dengan
Metode
Adaboost,"
SEMINAR
NASIONAL
TEKNOLOGI INFORMASI & KOMUNIKASI TERAPAN 2013 (SEMANTIK
2013), pp. 298-304, November 2013.
62