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Public Article
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Evaluationof Na
ISSN: ISSN - N268
Publisher: author
Evaluationof Na
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Informatics And Computation (ijic..
eISSN
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ISSN - N268
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Abstract
Occupancy status is one indicator of the rehabilitation and reconstruction program to support eruption victims in Indonesia. It needsto establish rehabilitation and reconstruction in a digitalsystemwith a structureddatabase. In this paper, we provide dataset 2,146 occupied and 370 unoccupied houses. We utilize anaive Bayesclassifier to classify the objectsand implement a chi-square algorithm to measure comparison datato actual observed data. This research uses a combination of Naive Bayes and Chi-Square by applying weighting to the dataset attributes. Our study concludes thatthe combination of the algorithms can achieve a promising result in classifyingthe occupancystatus. The combination of thetechniquesgains89.59% accuracy and a ROC-AUC valueof 0.839. Therefore, our approachis betterthan the standard Naive Bayes without combination with the Chi-Squareapproach.
