@inproceedings{8435208f691c4811b6909a5de4d5cbc7,
title = "Waqf lands assets classification based on productive value for business development using Na{\"i}ve 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 Na{\"i}ve 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.",
keywords = "'Waqf', Business development, Classification, Naive Bayes, Prediction",
author = "Amiq Fahmi and Edi Sugiarto and Agus Winarno and Surya Sumpeno and Purnomo, {Mauridhi Hery}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018 ; Conference date: 21-11-2018 Through 22-11-2018",
year = "2018",
month = nov,
doi = "10.1109/ISRITI.2018.8864489",
language = "English",
series = "2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "622--626",
booktitle = "2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018",
address = "United States",
}