Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm
Waqf is a donation activity of an own property for charity and the general welfare under sharia. The productive waqf empowerment in perspective economic changes the use of waqf from consumptive to productive. Lands are one form of waqf, and they are strategic assets for productive waqf empowerment....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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University of Brawijaya
2022-06-01
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| Series: | JITeCS (Journal of Information Technology and Computer Science) |
| Online Access: | https://jitecs.ub.ac.id/index.php/jitecs/article/view/351 |
| _version_ | 1797248766722441216 |
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| author | Amiq Fahmi Edi Sugiarto Agus Winarno |
| author_facet | Amiq Fahmi Edi Sugiarto Agus Winarno |
| author_sort | Amiq Fahmi |
| collection | DOAJ |
| description |
Waqf is a donation activity of an own property for charity and the general welfare under sharia. The productive waqf empowerment in perspective economic changes the use of waqf from consumptive to productive. Lands are one form of waqf, and they are strategic assets for productive waqf empowerment. This research aims to build a classifier to predict waqf lands as productive or not productive assets for business prospects. The classification used Naïve Bayes with attributes summarised from administrative data of waqf lands. A new method was proposed to improving the classification accuracy using a modified Apriori algorithm. A threshold value defined based on a mean value from the classification process by the Naïve Bayes was used to select classification results with a deviation of posterior value, and the value which was below to be reclassified using the Apriori algorithm. The proposed method used can improve prediction accuracy better than using only one Naïve Bayes classifier.
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| first_indexed | 2024-04-24T20:19:48Z |
| format | Article |
| id | doaj.art-aeb53e25d21d4287bf4d873f18a113dc |
| institution | Directory Open Access Journal |
| issn | 2540-9433 2540-9824 |
| language | English |
| last_indexed | 2024-04-24T20:19:48Z |
| publishDate | 2022-06-01 |
| publisher | University of Brawijaya |
| record_format | Article |
| series | JITeCS (Journal of Information Technology and Computer Science) |
| spelling | doaj.art-aeb53e25d21d4287bf4d873f18a113dc2024-03-22T08:34:21ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242022-06-017110.25126/jitecs.202271351Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori AlgorithmAmiq Fahmi0Edi Sugiarto1Agus Winarno2Dian Nuswantoro University, SemarangDian Nuswantoro University, SemarangDian Nuswantoro University, Semarang Waqf is a donation activity of an own property for charity and the general welfare under sharia. The productive waqf empowerment in perspective economic changes the use of waqf from consumptive to productive. Lands are one form of waqf, and they are strategic assets for productive waqf empowerment. This research aims to build a classifier to predict waqf lands as productive or not productive assets for business prospects. The classification used Naïve Bayes with attributes summarised from administrative data of waqf lands. A new method was proposed to improving the classification accuracy using a modified Apriori algorithm. A threshold value defined based on a mean value from the classification process by the Naïve Bayes was used to select classification results with a deviation of posterior value, and the value which was below to be reclassified using the Apriori algorithm. The proposed method used can improve prediction accuracy better than using only one Naïve Bayes classifier. https://jitecs.ub.ac.id/index.php/jitecs/article/view/351 |
| spellingShingle | Amiq Fahmi Edi Sugiarto Agus Winarno Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm JITeCS (Journal of Information Technology and Computer Science) |
| title | Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm |
| title_full | Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm |
| title_fullStr | Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm |
| title_full_unstemmed | Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm |
| title_short | Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm |
| title_sort | business prospects prediction for waqf lands using naive bayes and apriori algorithm |
| url | https://jitecs.ub.ac.id/index.php/jitecs/article/view/351 |
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