Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]

The Open Unemployment Rate (TPT) is one of the problems in Central Sulawesi Province. The higher the level of open unemployment, the more impact it will have on the economy and social welfare. The Open Unemployment Rate in Central Sulawesi Province according to BPS data for 2022, is 3,00%. Efforts a...

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Main Authors: Apriliani, Rifdah, Tri Nursagita, Zhafirah, Hasanah, Uswatun, Taulama, Moh. Iqra, Mohammad Fajri, Mohammad Fajri
Format: Book Section
Language:English
Published: Faculty of Computer and Mathematical Sciences 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/94390/1/94390.pdf
https://ir.uitm.edu.my/id/eprint/94390/
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Institution: Universiti Teknologi Mara
Language: English
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spelling my.uitm.ir.943902024-04-30T03:01:50Z https://ir.uitm.edu.my/id/eprint/94390/ Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.] Apriliani, Rifdah Tri Nursagita, Zhafirah Hasanah, Uswatun Taulama, Moh. Iqra Mohammad Fajri, Mohammad Fajri Information technology. Information systems The Open Unemployment Rate (TPT) is one of the problems in Central Sulawesi Province. The higher the level of open unemployment, the more impact it will have on the economy and social welfare. The Open Unemployment Rate in Central Sulawesi Province according to BPS data for 2022, is 3,00%. Efforts are needed to overcome the increasing percentage of unemployment rates, namely by forecasting the Open Unemployment Rate in Central Sulawesi Province in the next few periods using time series forecasting analysis with the Autoregressive Integrated Moving Average (ARIMA) method. From the results of the forecasting analysis for the next 5 years from 2023-2028, the MAPE value was obtained at 11,82307%, which is in the range of 10%-20%, which means that the ability of the forecasting model for the open unemployment rate in Central Sulawesi Province in the next 5 years is good. The graph that is formed shows that the forecast percentage is increasing so that the growth of the workforce is not balanced with job opportunities and the limited job opportunities are influenced by economic growth. It is hoped that the results of this research can be used as a policy consideration and reference tool so that it can overcome the percentage of Open Unemployment Rate in Central Sulawesi Province. Faculty of Computer and Mathematical Sciences 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/94390/1/94390.pdf Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]. (2023) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023). Faculty of Computer and Mathematical Sciences, Kampus Jasin, pp. 162-165. ISBN 978-967-15337-0-3 (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Information technology. Information systems
spellingShingle Information technology. Information systems
Apriliani, Rifdah
Tri Nursagita, Zhafirah
Hasanah, Uswatun
Taulama, Moh. Iqra
Mohammad Fajri, Mohammad Fajri
Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]
description The Open Unemployment Rate (TPT) is one of the problems in Central Sulawesi Province. The higher the level of open unemployment, the more impact it will have on the economy and social welfare. The Open Unemployment Rate in Central Sulawesi Province according to BPS data for 2022, is 3,00%. Efforts are needed to overcome the increasing percentage of unemployment rates, namely by forecasting the Open Unemployment Rate in Central Sulawesi Province in the next few periods using time series forecasting analysis with the Autoregressive Integrated Moving Average (ARIMA) method. From the results of the forecasting analysis for the next 5 years from 2023-2028, the MAPE value was obtained at 11,82307%, which is in the range of 10%-20%, which means that the ability of the forecasting model for the open unemployment rate in Central Sulawesi Province in the next 5 years is good. The graph that is formed shows that the forecast percentage is increasing so that the growth of the workforce is not balanced with job opportunities and the limited job opportunities are influenced by economic growth. It is hoped that the results of this research can be used as a policy consideration and reference tool so that it can overcome the percentage of Open Unemployment Rate in Central Sulawesi Province.
format Book Section
author Apriliani, Rifdah
Tri Nursagita, Zhafirah
Hasanah, Uswatun
Taulama, Moh. Iqra
Mohammad Fajri, Mohammad Fajri
author_facet Apriliani, Rifdah
Tri Nursagita, Zhafirah
Hasanah, Uswatun
Taulama, Moh. Iqra
Mohammad Fajri, Mohammad Fajri
author_sort Apriliani, Rifdah
title Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]
title_short Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]
title_full Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]
title_fullStr Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]
title_full_unstemmed Forecasting the open unemployment rate in Central Sulawesi Province using the Autoregressive Integrated Moving Average (ARIMA) Method / Rifdah Apriliani … [et al.]
title_sort forecasting the open unemployment rate in central sulawesi province using the autoregressive integrated moving average (arima) method / rifdah apriliani … [et al.]
publisher Faculty of Computer and Mathematical Sciences
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/94390/1/94390.pdf
https://ir.uitm.edu.my/id/eprint/94390/
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