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PENERAPAN MODEL ARIMA UNTUK PERAMALAN JUMLAH KLAIM PROGRAM JAMINAN HARI TUA PADA BPJS KETENAGAKERJAAN KOTA LANGSA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 14 No. 4 (2020) · hlm. 491–500

DOI
10.30598/barekengvol14iss4pp491-500
ISSN
2615-3017, 1978-7227
Terbit
2020-12-01
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng

Abstrak

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.

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  • Hasanuddin University
  • Samudra University
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Rekan penulisOrganisasiArtikel bersama
Rifyan SabaruddinHasanuddin University1
Aryanti Virtanti AnasHasanuddin University1
Rini Novrianti Sutardjo TuiHasanuddin University1
Amelia AmeliaSamudra University1
Firza KhairunnisaSamudra University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">PENERAPAN MODEL ARIMA UNTUK PERAMALAN JUMLAH KLAIM PROGRAM JAMINAN HARI TUA PADA BPJS KETENAGAKERJAAN KOTA LANGSA</dc:title>
	<dc:creator>Saumi, Fazrina</dc:creator>
	<dc:creator>Amalia, Rizki</dc:creator>
	<dc:description xml:lang="en-US">
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&amp;nbsp; 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.
</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2020-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1690</dc:identifier>
	<dc:identifier>10.30598/barekengvol14iss4pp491-500</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 14 No 4 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 491-500</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol14iss4year2020</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1690/2625</dc:relation>
</oai_dc:dc>