Menganalisis Trend Permohonan Pembahagian Harta Pusaka Kecil dan Mendapatkan Kaedah Peramalan Terbaik Serta Kesannya ke Atas Bebanan Kerja Pegawai Pembahagian Pusaka Semenanjung Malaysia
Administration and distribution of estate in Malaysia, especially in Peninsular Malaysia are conducted by three authority bodies; High Court, Small Estate Distribution Section and Amanah Raya Berhad. The statistic indicated that more than 70% of the distribution application were received and conduct...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2004
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| Online Access: | https://etd.uum.edu.my/1437/1/SEH_NILAMUDDIN_B._HASSAN.pdf https://etd.uum.edu.my/1437/2/1.SEH_NILAMUDDIN_B._HASSAN.pdf https://etd.uum.edu.my/1437/ |
| Abstract | Abstract here |
| Summary: | Administration and distribution of estate in Malaysia, especially in Peninsular Malaysia are conducted by three authority bodies; High Court, Small Estate Distribution Section and Amanah Raya Berhad. The statistic indicated that more than 70% of the distribution application were received and conducted by the Small Estate Distribution Section. This application increase from year to year and the rate of the application were 24% to 30% of the death rate. As a small organization, Small Estate Distribution Section only has 40 officers to conduct all of the application every year. This research use forecasting method to analyse scientifically small estate distribution
application in order to forecast current applications, backlogged applications, applications that have to be settle and settled applications until year 2010 and its
effect on workload of the small estate distribution officers in Peninsular Malaysia. Four models had been use; Moving Average Model, Weighted Moving Average, Exponential Smoothing and Linear Regression Model to analyse and test the best model for forecasting. The analysis was based on the secondary data received from the Small Estate Distribution Section, The Director General of Land and Mine
Department, Kuala Lumpur. The result from the comparison research found that the best forecasting model to forecast current application, application that has to be settle
and the settled application is the linear regression model and for the backlogged application the best model is the moving average model with four movements. The research found that until year 2010 current application, application that has to be settle and the settled application will increase over the time period whereas the backlogged application will remain constant and no obvious changes. The research found that the workload ratio for every officer will increase and the expected application settled for every officer will increase together with the increase of the current application. |
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