Autoregressive Integrated Moving Average Model to Predict Graduate Unemployment in Indonesia
Nowadays it is getting harder for higher education graduates in finding a decent job. This study aims to predict the graduate unemployment in Indonesia by using autoregressive integrated moving average (ARIMA) model. A time series data of the graduate unemployment from 2005 to 2016 is analyzed. The...
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| Format: | Article |
| Language: | English |
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Sciendo
2017-02-01
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| Series: | Practice and Theory in Systems of Education |
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| Online Access: | http://www.degruyter.com/view/j/ptse.2017.12.issue-1/ptse-2017-0005/ptse-2017-0005.xml?format=INT |