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PENERAPAN METODE SINGLE EXPONENTIAL SMOOTHING DALAM APLIKASI PERAMALAN PENCAIRAN KREDIT PADA PT. BPR MAGGA JAYA UTAMA Verga Tandika; Indah Fenriana
ALGOR Vol. 5 No. 1 (2023): Sustainability of Information Technology
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v5i1.2409

Abstract

This research aims to apply the single exponential smoothing method in forecasting credit disbursement at PT. BPR Magga Jaya Utama. The single exponential smoothing method is a forecasting method that is suitable for forecasting time series data with a stable trend. Credit disbursement data at PT. BPR Magga Jaya Utama during the period January 2020 to December 2022 was used as research data. Data was analyzed using Microsoft Excel software. The research results show that the single exponential smoothing method can provide credit disbursement forecasting with a high level of accuracy. The resulting forecasting model can be used as a reference in making decisions regarding credit disbursement at PT. BPR Magga Jaya Utama. In this research, the best alpha value for the single exponential smoothing method was 0.3, with a Mean Absolute Percentage Error (MAPE) value of 3.94%. In conclusion, this research proves that the single exponential smoothing method can be applied in forecasting credit disbursement at PT. BPR Magga Jaya Utama. Accurate forecasting results can help PT. BPR Magga Jaya Utama in making better and more appropriate decisions regarding credit disbursement.
Co-Authors Alvin Gunawan Avandy Wijaya Bagus Dermawan billy jordan Calvin Chandra Desiyanna Lasut Dicky Surya Dwi Putra Edy Edy Ellysha Dwiyanthi Kusuma Ellysha Kusuma Gunawan Gunawan Hartana Wijaya Jodi Zakharia Jonathan Marcellino Pratama Lianny Wydiastuty Kusuma Pandika Andio Efendi Pulung Adi Nugroho Raditya Rimbawan RIKI RIKI, RIKI Rudy Arijanto Verga Tandika Yusuf Kurnia