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Journal : scientific journal of informatics

Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing Loan Prediction Muzayanah, Rini; Lestari, Apri Dwi; Jumanto, Jumanto; Prasetiyo, Budi; Pertiwi, Dwika Ananda Agustina; Muslim, Much Aziz
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.50274

Abstract

Purpose: Data imbalances that often occur in the classification of loan data on the Peer-to-Peer Lending platform cancause algorithm performance to be less than optimal, causing the resulting accuracy to decrease. To overcome thisproblem, appropriate resampling techniques are needed so that the classification algorithm can work optimally andprovide results with optimal accuracy. This research aims to find the right resampling technique to overcome theproblem of data imbalance in data lending on peer-to-peer landing platforms.Methods: This study uses the XGBoost classification algorithm to evaluate and compare the resampling techniquesused. The resampling techniques that will be compared in this research include SMOTE, ADACYN, Border Line, andRandom Oversampling.Results: The highest training accuracy was achieved by the combination of the XGBoost model with the Boerder Lineresampling technique with a training accuracy of 0.99988 and the combination of the XGBoost model with the SMOTEresampling technique. In accuracy testing, the combination with the highest accuracy score was achieved by acombination of the XGBoost model with the SMOTE resampling technique.Novelty: It is hoped that from this research we can find the most suitable resampling technique combined with theXGBoost sorting algorithm to overcome the problem of unbalanced data in uploading data on peer-to-peer lendingplatforms so that the sorting algorithm can work optimally and produce optimal accuracy.
Co-Authors Ade Parlaungan Nasution, Ade Parlaungan Adi, Yogi Kuncoro Agus Harjoko Agustiani, Agustiani Al Hakim, M. Faris Alabid, Noralhuda N. Alamsyah - Anggit Grahito Wicaksono Apsari, Fitri Noor Ari Widodo Ascarya, Farrel Aulia, Muhammad Kahfi Aurelia, Bening Febri Badriyah, Fitria Nurul Budi Prasetiyo, Budi Cahyani, Yesy Tri Chairunnisa, Tsania Damayanti, Dela Rista Dewi, Meilina Taffana Dullah, Ahmad Ubai Dwi Anggraeni DWI HAPSORO Ema Butsi Prihastari Ratna Widyaningrum, Ema Butsi Prihastari Endang Sugiharti, Endang Fatahillah, Dimas Febrianti, Anggi Ferdiansyah, Dicky Feri Faila Sufa, Feri Faila HAJRIAL ASWIDINNOOR Hakim, M. Faris Al Handayani, Sri Haryati Sulistyorini Herlina Kurniawati Heru Sri Suryanti, Hera Hidayat Hidayat Ilham Maulana Irmade, Oka Jati, Ismail Wahyu Khoirunnisa, Avicenia Nasywa KOSUKE MIZUNO, KOSUKE KURNIATI, SRI AYU Kurniawaty Iskandar Kusuma Asri, Novia Kusuma, Novelia Salsa Dara Lestari, Apri Dwi Ligia, Emila Lintang, Irendra Luh Titi Handayani, Luh Titi Mardiansyah, M Fadil Marshanda, Putri Martha Yohana Sinaga Masa, Amin Padmo Azam Mellisa, Mellisa Much Aziz Muslim Mukarom, Rosyid Fadhil Al Mulyana, Aditya Fajar Mulyaningtyas, Lintang Ayu Murtafiah, Eni Muzayanah, Rini Ningsih, Maylinna Rahayu Nugraha, Faizal Widya NUGROHO, MUHAMMAD IRFAN Nurwijayanti Pertiwi, Dwika Ananda Agustina Prabaswara, Ireneus Prabowo Yudo Jayanto Pratama, Rizka Nur Prihatsari, Ema Butsi Puspita, Wiyanda Putri, Chindi Dwi Ayu Prabowo Putri, Salma Aprilia Huda Rahayu, Emik Rahmanti Asmarani Ramadhan, Taufiq Brahmantyo Lintang Rawat, Bibek Rianto, Nur Aziz Kurnia Riza Arifudin Rofik Rofik, Rofik RUSMILAH SUSENO Salsabila, Halimah Sam’an, Muhammad Sarafuddin, Sarafuddin Sinaga, Markus Soehendro, Eunike Imanuela Subhan Subhan Sudarsono Sugiaryo, Sugiaryo Surajaya, I Ketut Syamsu Rizal, Sarif Tanzilal Mustaqim Wibowo, Kevyn Aalifian Hernanda Wibowo, Kevyn Alifian Hernanda Wicaksono, Suntoro Widiaswara, R. Anantama Widyasari, Alma Wijaya, Dandi Indra Yahya Nur Ifriza Yosza Dasril Yulianingsih, Ratri Zaaidatunni'mah, Untsa