Abstract

'Waqf' is an act of giving some of the assets owned for worship purpose in Islam and social charity. Land is one of many assets used as 'waqf' objects which can be used as a valuable asset for worship and economy. There are many cases that make 'waqf' lands allotment not suitable for business development. A 'waqf' land allotment classifier to discriminate assets which were productive and not productive for business development was proposed in this study. The classifier was built using Naïve Bayes algorithm. Seven important attributes of waqf asset data were analyzed, and then the attributes were used to discriminate productive and not productive assets. The dataset contained 57 'waqf' lands divided into 80% for training data and 20% for testing data. The experiment results showed that the proposed method can achieve accuracy at 93% for training data and 91% for testing data.

Original languageEnglish
Title of host publication2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages622-626
Number of pages5
ISBN (Electronic)9781538674222
DOIs
Publication statusPublished - Nov 2018
Event2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018 - Yogyakarta, Indonesia
Duration: 21 Nov 201822 Nov 2018

Publication series

Name2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018

Conference

Conference2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018
Country/TerritoryIndonesia
CityYogyakarta
Period21/11/1822/11/18

Keywords

  • 'Waqf'
  • Business development
  • Classification
  • Naive Bayes
  • Prediction

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