Waqf Lands Assets Classification Based On Productive Value For Business Development Using Naïve Bayes

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.