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PERBANDINGAN MODEL PERAMALAN JUMLAH PENCARI KERJA MENGGUNAKAN ARIMA DAN DOUBLE EXPONENTIAL SMOOTHING Malihah, Lola Malihah; Meilania, Gusti Tasya
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 7 No 2 (2023): Vol. 7 No. 2, November 2023
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v7i2.441

Abstract

The high population growth rate will affect the demand for employment and the number of job seekers. This study aims to determine the characteristics of job seekers' data, form a forecasting model, and predict the number of registered job seekers in Banjar Regency using Double Exponential Smoothing and ARIMA models. Based on the analysis conducted, the ARMA model (1,1) is the best model that can be used to predict the number of job seekers in Banjar Regency. From this model, the results show that in short-term forecasting, the number of job seekers in Banjar Regency is suspected to have increased for the following three periods.