The Requirement Model of a Ploughing Incentive Information System
The aim of this study is to propose a requirement model that serves as a basis in developing a system to manage ploughing incentive recipients’ information. Ploughing incentive is given by the Malaysian Government to paddy growers to help ease the cost of land preparation or ploughing. The distribut...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://etd.uum.edu.my/2948/1/Norfazlin_Rashid.pdf http://etd.uum.edu.my/2948/2/1.Norfazlin_Rashid.pdf http://etd.uum.edu.my/2948/ |
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| Institution: | Universiti Utara Malaysia |
| Language: | English English |
| Summary: | The aim of this study is to propose a requirement model that serves as a basis in developing a system to manage ploughing incentive recipients’ information. Ploughing incentive is given by the Malaysian Government to paddy growers to help ease the cost of land preparation or ploughing. The distribution of incentive is done via agencies such as Muda Agricultural Development Authority (MADA) and its mechanism which are the district farmers association or Pertubuhan Peladang Kawasan (PPK). Eligible farmers would be given coupons for each of their land plots that are entitled to receive the incentive. Ploughing work can only be done by registered ploughing service providers which are in effect tractor owners. The assignment of ploughing work is done by the PPK. MADA would then disburse payment of the incentive directly to the tractor owners based on the claims and reports furnished by PPKs. The current manual practice of reporting provides the opportunity of issues such as late payment and omission. A computerized system that would cater the information of ploughing incentive receivers would be the answer to such problem. Since there is currently no such system, a requirement model will be produced which will then be a blueprint in developing the system. The requirement of the system will be gathered from one PPK in Kedah through observation, document analysis and interviews. Finally, the requirement model which comprises of two actors and 17 use cases is validated by users using a prototype and test scripts. |
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