Implementasi Algoritma K-Nearest Neighbor(K-NN) Dalam Klasifikasi Kredit Motor
-
Efori Bu’ulolo
*
Universitas Budi Darma, Medan,
Indonesia
- Irma Suryani Tampubolon Universitas Budi Darma, Medan, Indonesia
- Christin Vebiola Nababan Universitas Budi Darma, Medan, Indonesia
- Lulu Nurhidayanti Nasution Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
Determining the eligibility of applying for a motorbike loan to a leasing company is important, considering that if an error in decision making occurs it will have an impact on the loss of the FIF Group company. Therefore the authors created a Decision Support System using the K-nearest Neighbor method to determine the feasibility of applying for a motorcycle loan. The K-Nearest Neighbor (K-NN) algorithm is an algorithm in data mining to classify new objects based on the majority of the nearest neighbor categories. The K-NN clustering algorithm using data on income, employment, number of dependents and home ownership can group prospective new creditors to make it easier for staff to determine acceptance of prospective new motorcycle creditors
References
A. P. Windarto, “Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method,” Int. J. Artif. Intell. Res., vol. 1, no. 2, p. 26, 2017, doi: 10.29099/ijair.v1i2.17.
E. Buulolo and R. Syahputra, “Implementasi Algoritma Clustering K-Means Untuk Mengelompokkan Mahasiswa Baru Yang Berpotensi ( Studi Kasus : Stmik Budi Darma ),” vol. 2, no. September, pp. 17–24, 2019.
I. Listiowarni and N. Puspa Dewi, “Pemanfaatan Klasifikasi Soal Biologi Cognitive Domain Bloom’s Taxonomy Menggunakan KNN Chi-Square Sebagai Penyusunan Naskah Soal,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 11, no. 2, pp. 186–197, 2020, doi: 10.31849/digitalzone.v11i2.4798.
D. Nofriansyah and G. Widi Nurcahyo, Buku Algoritma Data Mining Dan Pengujian. Yogyakarta: deepublish, 2017.
E. Buulolo, Data Mining Untuk Perguruan Tinggi. Yogyakarta: deepublish, 2020.
M. M. K-means, A. Solichin, and K. Khairunnisa, “Klasterisasi Persebaran Virus Corona ( Covid-19 ) Di DKI Jakarta,” vol. 5, no. 2, 2020.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Algoritma K-Nearest Neighbor(K-NN) Dalam Klasifikasi Kredit Motor
Pages: 18-22
Copyright (c) 2022 Efori Bu’ulolo, Irma Suryani Tampubolon, Christin Vebiola Nababan, Lulu Nurhidayanti Nasution
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
