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All Journal JOMLAI: Journal of Machine Learning and Artificial Intelligence
Rahmi Fauziah
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
Computer Science & IT Engineering

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Data Classification of Marriage Readiness in Young Adults Using the Naïve Bayes Algorithm Rahmi Fauziah; Heru Satria Tambunan; Susiani Susiani
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 4 (2022): December
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.554 KB) | DOI: 10.55123/jomlai.v1i4.1665

Abstract

Readiness to get married usually must be owned by every individual who wants to run a married life in order to become a harmonious family. However, not all young adults prepare for marriage such as financially, emotionally, roles and others. So the classification is carried out to determine the readiness for marriage with ready and not ready classes. Classification is part of data mining that performs the process of building a model based on existing training data, then using the model for classification on new data. The research data used were taken from 103 young adult, male and female. The algorithm used is Naïve Bayes. The conclusion of this research is testing as much as 5 testing data that is processed in RapidMiner 5.3. get test results with an accuracy of 74,33%, namely 3 data that are not ready and 2 data that are ready. So that the research process can be done quickly and efficiently.
Co-Authors Heru Satria Tambunan Susiani Susiani