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All Journal Annual Research Seminar Titian Ilmu: Jurnal Ilmiah Multi Sciences JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Ilmu Komputer Jurnal Pengembangan Sistem Informasi dan Informatika Instink: Inovasi Pendidikan, Teknologi Informasi dan Komputer
Indra Irawan
Universitas Nurul Huda
Computer Science & IT Control & Systems Engineering Social Sciences Other

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Journal : JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI

 1 
Peningkatan Performa Algoritma CART dengan Seleksi Fitur Menggunakan ABC untuk Penilaian Kredit Indra Irawan
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 1 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i1.553

Abstract

Various statistical techniques and machine learning have been used to develop financial prediction models. In this case, credit rating is closely related in terms of prediction of creditworthiness. Because there is no general agreement on financial ratios as an input feature for model development, many studies consider feature selection as a pre-consideration step in data mining before creating a model. This study examines the effect of feature selection using Artificial Bee Colony on the performance improvement of the CART algorithm. The experimental results show that ABC is the best combination of feature selection in improving CART algorithm performance. Compared with some of the proposed PSO and Ant Colony optimization algorithms, this research is expected to be a reference in terms of credit scoring, supporting banks to reject prospective borrowers with poor creditworthiness.
Co-Authors Ainun Ummi Sholikhah Dian Palupi Rini Dwi Andriani Effendi Effendi M Riski Qisthiano Muhammad Syahril Pamuji M. Jakak Sri Komariyah Thoha Firdaus Uli Rizki Widayanti Widayanti