Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur

Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur

A marked increase in the number of cases received by Medical Social Department, Kuala Lumpur Hospital have been noted since 1996. This scientific research is to forecast the trend on the number of cases expected until 2010 and to identify the level of workload associated. The analysis was based on s...

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Main Author: Mohamed Asri, Abd Rahman
Format: Thesis
Language:eng
eng
Published: 2004
Subjects:
HM Sociology.
Online Access:https://etd.uum.edu.my/1317/1/MOHAMED_ASRI_B._ABD._RAHMAN.pdf
https://etd.uum.edu.my/1317/2/1.MOHAMED_ASRI_B._ABD._RAHMAN.pdf
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id my-uum-etd.1317
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic HM Sociology.
spellingShingle HM Sociology.
Mohamed Asri, Abd Rahman
Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur
description A marked increase in the number of cases received by Medical Social Department, Kuala Lumpur Hospital have been noted since 1996. This scientific research is to forecast the trend on the number of cases expected until 2010 and to identify the level of workload associated. The analysis was based on secondary data obtained from Medical Social Department and Ministry of Health. Several forecasting models were compared and the best method was used as the basis of forecasting. The models tested were Moving Average, Exponential Smoothing, Trend Exponential Smoothing, Linear Regression, Multiplicative Decomposition and Additive Decomposition. The study found that the Linear Regression model was the most suitable to be used in the forecast. It can be concluded that based on the available data, there will be an increase in the number of cases received yearly until 2010.
format Thesis
qualification_name masters
qualification_level Master's degree
author Mohamed Asri, Abd Rahman
author_facet Mohamed Asri, Abd Rahman
author_sort Mohamed Asri, Abd Rahman
title Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur
title_short Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur
title_full Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur
title_fullStr Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur
title_full_unstemmed Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur
title_sort menganalisis model peramalan terbaik bagi meramal beban kerja jabatan kerja sosial perubatan di hospital kuala lumpur
granting_institution Universiti Utara Malaysia
granting_department Faculty of Business Management
publishDate 2004
url https://etd.uum.edu.my/1317/1/MOHAMED_ASRI_B._ABD._RAHMAN.pdf
https://etd.uum.edu.my/1317/2/1.MOHAMED_ASRI_B._ABD._RAHMAN.pdf
_version_ 1747827120458956800
spelling my-uum-etd.13172013-07-24T12:11:25Z Menganalisis Model Peramalan Terbaik Bagi Meramal Beban Kerja Jabatan Kerja Sosial Perubatan di Hospital Kuala Lumpur 2004 Mohamed Asri, Abd Rahman Faculty of Business Management Faculty of Business Management HM Sociology. A marked increase in the number of cases received by Medical Social Department, Kuala Lumpur Hospital have been noted since 1996. This scientific research is to forecast the trend on the number of cases expected until 2010 and to identify the level of workload associated. The analysis was based on secondary data obtained from Medical Social Department and Ministry of Health. Several forecasting models were compared and the best method was used as the basis of forecasting. The models tested were Moving Average, Exponential Smoothing, Trend Exponential Smoothing, Linear Regression, Multiplicative Decomposition and Additive Decomposition. The study found that the Linear Regression model was the most suitable to be used in the forecast. It can be concluded that based on the available data, there will be an increase in the number of cases received yearly until 2010. 2004 Thesis https://etd.uum.edu.my/1317/ https://etd.uum.edu.my/1317/1/MOHAMED_ASRI_B._ABD._RAHMAN.pdf application/pdf eng validuser https://etd.uum.edu.my/1317/2/1.MOHAMED_ASRI_B._ABD._RAHMAN.pdf application/pdf eng public masters masters Universiti Utara Malaysia Ahmad Mohd Yusof (1992). Kaedah Peramalan Asas. Dewan Bahasa Dan Pustaka: Kuala Lumpur Ahmad Faudzi (2000). Peramalan Kemasukan Banduan ke Penjara Alor Setar. Tesis (M.Sc), Universiti Utara Malaysia. Armstrong, S.J & Brodie, R. J (1999). Forecasting For Marketing. International Thompson Business Press: London Armstrong, S. J (2001). Standards and Practices For Forecasting. Academic Kluwer Publisher: Nonvell, MA. Bowerrnan, B. L., dan O'connell, R. T., (1987). 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