@inproceedings{d3712524896a4708b3e8b3f3ee476159,
title = "Determination of priority parameter for classification of poverty using chi-square method and crammer's V correlation",
abstract = "Poverty was a problem that faced by many developing countries, especially Indonesia. One way to resolve the issue of poverty through social assistance provided by the government. Besides that, knowing the factors affecting poverty in the region was also important to determine the strategic plan to reduce poverty in Indonesia. Data mining approach was used to determine the classification model. The classification method using Na{\"i}ve Bayes algorithm while the process of determining the parameters using Chi-square and Crammer's V correlation. The result of this experiment show that the parameter that has the most relation between the level of poverty was the number of household members (vART), and the smallest correlation was the fuel for cooking (vFUEL). Furthermore, the results of accuracy from Na{\"i}ve Bayes have been obtained about 61.47% or better 0.54% when compared to the number of initial parameters. It means that the data give an explanation about 61.47% of the poverty level.",
keywords = "Chi-square, Classification, Crammer's v, Feature selection, Na{\"i}ve bayes, Poverty",
author = "Derick Iskandar and Suprapto, {Yoyon K.} and Purnama, {I. Ketut Eddy}",
year = "2017",
month = mar,
day = "7",
doi = "10.1109/ISEMANTIC.2016.7873846",
language = "English",
series = "Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "247--252",
booktitle = "Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016",
address = "United States",
note = "2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016 ; Conference date: 05-08-2016 Through 06-08-2016",
}