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All Journal Jurnal Informatika Universitas Pamulang OKTAL : Jurnal Ilmu Komputer dan Sains Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat Riau Jurnal Teknik Informatika
Kecitaan Harefa
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Astronomy Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

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Journal : Jurnal Informatika Universitas Pamulang

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Sistem Pendukung Keputusan Kelayakan Pemberian Pinjaman dengan Metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) Kecitaan Harefa
Jurnal Informatika Universitas Pamulang Vol 5, No 2 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (606.769 KB) | DOI: 10.32493/informatika.v5i2.3714

Abstract

Cipta Harapan Jaya Cooperative Savings and Loans is a financial institution that provides loan funds to the community, namely micro, small and medium entrepreneurs. Lending is done with a system and procedure that is easy, fast and safe. But many customers do not fulfill their obligations or are not fluent in paying installments, thereby causing bad credit and reducing cooperative income. The cause of customers who are not fluent in paying installments cannot be detected with the current selection system for prospective customers. This research proposes the use of a decision support system with the Analytical Hierarchy Process (AHP) method used to determine the criteria weights and the Simple Additive Weighting (SAW) method to find the best alternative. Both of these methods can facilitate the cooperative in making decisions about prospective customers who apply for loans more effectively and efficiently. The criteria used are collateral, capital, condition, capacity, and character. Based on the results of the calculation and implementation of the proposed method obtained an accuracy of 90.67%. This means that this accuracy is close to good value and can be used as a guideline for determining potential customers who are eligible for loans.
Co-Authors Aditya Rangga Prasetya Afrizal Nur Perdana Ari Fachri Zadiq Dony Sapta Nurhayadi Dzaky Azizan Haidar Adlia Hernanda Faris Khoiri Jason Ikbal Khairul Umam Kristiani Apriyanti Ndraha Kurnianto Octian Junaidi Muhamad Fariz Rivai Muhammad Ridwan Ramadhan Oktafpianus Gea Pras Parman Wau Priska Diniati Rebeka Ndaki Sigit Dwiantoro Tian Aldi Kurniawan Wahyu Candra Wijaya Yosef Ibrahim