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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan
Saumi, Fazrina
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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PENERAPAN MODEL ARIMA UNTUK PERAMALAN JUMLAH KLAIM PROGRAM JAMINAN HARI TUA PADA BPJS KETENAGAKERJAAN KOTA LANGSA Saumi, Fazrina; Amalia, Rizki
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 4 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (825.66 KB) | DOI: 10.30598/barekengvol14iss4pp491-500

Abstract

Social Security (BPJS Ketenagakerjaan) in Langsa is a Public Legal established to organize social security programs for workers. The program is managed by PT. JAMSOSTEK with 4 programs one of which is JHT (Jaminan Hari Tua / Old Age Protection). JHT program is a long-term program that is given periodically at once before participant enter retirment. This research aims to increase the number of claims of BPJS Ketenagakerjaan participants in JHT program with ARIMA model, through the forecast BPJS can increase service with the number of claims from year to year so that the satisfaction level of JHT program participants is guaranteed. Data processing uses MINITAB 18 software with data stationary initial steps, tentavie model identically (p,d,q) model parameter estimation, diagnostic test, and last model used for forecasting. The ARIMA model obtained is ARIMA (4, 1, 2) with a MAPE value of 6.87% which shows excellent forecasting results. The result forecast the number of JHT program claims in BPJS Ketenagakerjaan period August 2019 to December 2019 as may as 444, 403, 419, 336, 404 people, respectively. Based on the results of the forecast, especially that the number of JHT program claims fluctuated, this indicates that BJPS Ketenagakerjaan in Langsa needs to increase the equivalent service for the JHT program.
Co-Authors Rizki Amalia