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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Buana Informatika Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Prosiding SNATIF Jurnas Nasional Teknologi dan Sistem Informasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Ilmiah FIFO JRST (Jurnal Riset Sains dan Teknologi) Jurnal Sisfokom (Sistem Informasi dan Komputer) IJISTECH (International Journal Of Information System & Technology) JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Inti Talafa : Jurnal Teknik Informatika Building of Informatics, Technology and Science IJISTECH Techno Urecol Journal. Part E: Engineering Jurnal Informatika: Jurnal Pengembangan IT ABDIMASTEK
Lisna Zahrotun
Universitas Ahmad Dahlan
Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : Jurnal Informatika: Jurnal Pengembangan IT

 1 
Penerapan Data Mining Dalam Pemberian Kelayakan Kredit Nasabah Pada Badan Usaha Milik Desa Gedong Gincu Dengan Metode Naïve Bayes Hanifatun, Farras; Zahrotun, Lisna
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 1 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i1.5939

Abstract

BUMDes Gedong Gincu is a rural business that provides savings and loan services to village communities. BUMDes Gedong Gincu in determining customers is still very simple, namely by looking at where the customer comes from and how close they are to previous customers who have applied for credit, so it is not a guarantee whether or not the new customer is eligible to get a loan at BUMDes Gedong Gincu. Another problem that occurs is the lack of thoroughness by BUMDes administrators in assessing customers.  The aim of this research is to apply the Naïve Bayes method in determining the credit worthiness of customer applications. The method used in this research is Naïve Bayes with testing using a confusion matrix. Research stages include data selection, data cleaning, data transformation, application of the Naïve Bayes method, testing. The result of this research is an application that can facilitate BUMDes Gedong Gincu in evaluating the feasibility of providing credit. The test results using 186 data using the confusion matrix method, an accuracy of 67% was obtained. However, based on SUS testing by users, they got a result of 82.25. This indicates that this application is good and suitable for use by BUMDes Gedong Gincu.
Co-Authors Amanatullah, Yosyadi Rizkika Anna Hendri Soleliza Jones Ansari Ansari Arfiani Nur Khusna Aryandita, Muhammad Dwinda Agust Dewi Soyusiawaty Dwiyanti, Ryzky Aulia Elyana, Ade Eni Purwaningsih Fajri, Yunus Fiqriany Karepesina Hanifatun, Farras Hapsari, Intan Herri Kurnia Ika Arfiani Ika Kurnia Saputri Indri Dwi Lestari Jones, Anna Hendri Soleliza Juniarti, Rahmat Lintang Fauziyatu Azmi Muhammad Faishal Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Purwayoga, Vega Ramadhan, Imam Rusydi Umar Soleliza Jones, Anna Hendry Taufik Mufti Haryadi Tedy Setiadi Tsani Elvia Nita Utaminingsih Linarti, Utaminingsih