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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Informatika UNIKA Santo Thomas METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Journal of Informatics Management and Information Technology J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal ABDIMAS Budi Darma Jurnal Sains dan Teknologi Informasi KETIK : Jurnal Informatika
Taronisokhi Zebua
Universitas Budi Darma, Medan
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Journal : METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi

 1 
PENERAPAN ALGORITMA NEAREST NEIGHBOR DALAM MEMPREDIKSI KELAYAKAN PENERIMAAN KARTU KREDIT PADA BANK CIMB NIAGA Ndruru, Eferoni; Zebua, Taronisokhi
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 5 No. 1 (2019): Maret 2019
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v5i1.410

Abstract

A credit card application is a financial facility that allows a person or business entity to borrow money to buy a product and pay it back within a specified time. Credit card manufacture often experiences risk in providing credit, both moderate, good and very good risk, due to lack of data analysis and lack of attention. So the purpose of this study is to analyze the risks that often occur in making credit cards. And provide efficient solutions. In solving this problem, it is necessary to apply the method. The method used in this study is Nearest Neighbor. The Nearest Neighbor algorithm is an approach to finding cases by calculating the proximity between new cases (testing data) and old cases (training data), which is based on matching the weights of a number of existing features. Therefore, it can be applied in analyzing old customer data with data new so that comparisons can be made whether or not it is eligible to receive credit. The results obtained in this study are the results of testing systems and methods by producing a level of risk.
Co-Authors - Pristiwanto, - A M Hatuaon Sihite A.A. Ketut Agung Cahyawan W Aditya Trinugraha Agung Lestari Alfarizi, Muhammad Alimah Alimah Anas, Irfan Anda Yanny Berliana Oktaviani Sinaga Citono Harahap Dahanum, Ismay Dian Pratiwi Diana, Mia Dina Lestari, Dina Fince Tinus Waruwu Firman Telaumbanua Fitarius Humendru Garuda Ginting Guidio Leonarde Ginting Halawa, Peber Epenetus Hartika Manao Hasibuan, Alima Hakkon Hikka Sartika Hukendik Hutabarat Imam Saputra Indra Williamsyah Sinaga Ismay Dahanum Juni Ade Nawer Purba Khasanah Khasanah Lubis, Utami Rahma Sari Lubis, Utami Rahma Sari Mahadi Winafil Mesran, Mesran Muhammad Iqbal Nastiti, Sindy Natalia Silalahi Ndruru, Eferoni Nelly Astuti Hasibuan Neti Rusri Yanti Nopiyah Belia Batubara Nurdiyanto, Heri Nurma Ningsih Pristiwanto Pristiwanto Pristiwanto, Pristiwanto Riezky Dermawan Syam Sitepu Rivalri K Hondro Rivalri Kristianto Hondro Ronda Deli Sianturi Sari, Herlina Sembiring, Abdul Sani Silalahi, Yohanna Silalahi, Yohanna Sinurat, Sinar Soni Bahagia Sinaga Soraya Rahma Hayati Sri Wahyuni Suginam Surya Darma Nasution Syukur Novertiani Gulo Tari, Ratiya Tiffani Astrid Winafil, Mahadi Winda Winda Yulrismawati Sihura Zega, Hendra Jaya Zega, Zulfan Anugerah