Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin
The number of zakat payers are increasing as well as the amount of zakat collections in Malaysia and the number of distribution become decreases due to numbers of alternatives provided by government to help these people. The same situation happen to poor student of UiTM Campus Jasin where UiTM provi...
| Main Author: | |
|---|---|
| Format: | Student Project |
| Language: | English |
| Published: |
Faculty of Computer and Mathematical Sciences
2017
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/21377/1/TD_NURUL%20NADIA%20HASANUDDIN%20M%20CS%2017_5.pdf |
| _version_ | 1796901353638854656 |
|---|---|
| author | Hasanuddin, Nurul Nadia |
| author_facet | Hasanuddin, Nurul Nadia |
| author_sort | Hasanuddin, Nurul Nadia |
| collection | UITM |
| description | The number of zakat payers are increasing as well as the amount of zakat collections in Malaysia and the number of distribution become decreases due to numbers of alternatives provided by government to help these people. The same situation happen to poor student of UiTM Campus Jasin where UiTM provide facility which is zakat. However, there is no system for applying zakat through online in UiTM Malacca Jasin Campus and there is only manual form that have to be fill in and submitted in Academic Contemporary Islamic Studies (ACIS). Then, there are many lacking on identifying the qualify students and calculation on the weightage of the factors affects. To overcome the issue and identify the qualified applicants, this work needs an expert system on processing application that can identify the qualification of students by using Fuzzy Expert System (Sugeno Technique Type-1). This process involve fuzzy expert where it will calculate the weightage of the facts and determine the level of membership. The facts will be combined to determine the status of the student’s application either it will be approve or fail. Method apply in this project is Agile method where all the requirements elements in this method collected from survey, interview session and article reading. In addition, this system will help user in getting the result without having to wait for a few days. Functionality testing have been apply and tested by user. It shows the system is working as expected as shown in Chapter 5 on functionality testing. This system help ACIS department to determine the qualification result either the student application is approve or fail more easily. Thus, this system can be enhance more in terms of rule base and interface, and this system also could reduce the difficulties of manual process and increase the performance on applying Zakat. |
| first_indexed | 2024-03-06T01:48:49Z |
| format | Student Project |
| id | uitm.eprints-1377 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:48:49Z |
| publishDate | 2017 |
| publisher | Faculty of Computer and Mathematical Sciences |
| record_format | dspace |
| spelling | uitm.eprints-13772018-10-25T01:35:17Z https://ir.uitm.edu.my/id/eprint/21377/ Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin Hasanuddin, Nurul Nadia Alms (Zakat) Universiti Teknologi MARA Instruments and machines Expert systems (Computer science). Fuzzy expert systems The number of zakat payers are increasing as well as the amount of zakat collections in Malaysia and the number of distribution become decreases due to numbers of alternatives provided by government to help these people. The same situation happen to poor student of UiTM Campus Jasin where UiTM provide facility which is zakat. However, there is no system for applying zakat through online in UiTM Malacca Jasin Campus and there is only manual form that have to be fill in and submitted in Academic Contemporary Islamic Studies (ACIS). Then, there are many lacking on identifying the qualify students and calculation on the weightage of the factors affects. To overcome the issue and identify the qualified applicants, this work needs an expert system on processing application that can identify the qualification of students by using Fuzzy Expert System (Sugeno Technique Type-1). This process involve fuzzy expert where it will calculate the weightage of the facts and determine the level of membership. The facts will be combined to determine the status of the student’s application either it will be approve or fail. Method apply in this project is Agile method where all the requirements elements in this method collected from survey, interview session and article reading. In addition, this system will help user in getting the result without having to wait for a few days. Functionality testing have been apply and tested by user. It shows the system is working as expected as shown in Chapter 5 on functionality testing. This system help ACIS department to determine the qualification result either the student application is approve or fail more easily. Thus, this system can be enhance more in terms of rule base and interface, and this system also could reduce the difficulties of manual process and increase the performance on applying Zakat. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/21377/1/TD_NURUL%20NADIA%20HASANUDDIN%20M%20CS%2017_5.pdf Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin. (2017) [Student Project] <http://terminalib.uitm.edu.my/21377.pdf> (Unpublished) |
| spellingShingle | Alms (Zakat) Universiti Teknologi MARA Instruments and machines Expert systems (Computer science). Fuzzy expert systems Hasanuddin, Nurul Nadia Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin |
| title | Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin |
| title_full | Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin |
| title_fullStr | Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin |
| title_full_unstemmed | Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin |
| title_short | Identification of zakat recipient in UiTM Jasin Campus using fuzzy expert system / Nurul Nadia Hasanuddin |
| title_sort | identification of zakat recipient in uitm jasin campus using fuzzy expert system nurul nadia hasanuddin |
| topic | Alms (Zakat) Universiti Teknologi MARA Instruments and machines Expert systems (Computer science). Fuzzy expert systems |
| url | https://ir.uitm.edu.my/id/eprint/21377/1/TD_NURUL%20NADIA%20HASANUDDIN%20M%20CS%2017_5.pdf |
| work_keys_str_mv | AT hasanuddinnurulnadia identificationofzakatrecipientinuitmjasincampususingfuzzyexpertsystemnurulnadiahasanuddin |