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METODE ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK KLASIFIKASI TINGKAT KESEJAHTERAAN KESEHATAN MASYARAKAT PEKANBARU

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dc.contributor.author Anggraini, Mila
dc.date.accessioned 2021-12-27T07:07:53Z
dc.date.available 2021-12-27T07:07:53Z
dc.date.issued 2021-06
dc.identifier.other wahyu sari yeni
dc.identifier.uri https://repository.unri.ac.id/handle/123456789/10358
dc.description.abstract The level of public health welfare in a country can determine the quality and circumstances of the country. The purpose of this study is to classify the level of public health welfare of Pekanbaru City in 2019. The study used C4.5 and Naïve Bayes algorithms with k-fold cross validation to predict the accuracy of classification and performance evaluation measure as evaluation of both models. Performance evaluation measure results with k-fold cross validation show that models with Naïve Bayes have better classification results than C4.5 algorithm models. This is because Naïve Bayes' accuracy, precision, sensitivity and specificity are greater than the C4.5 algorithm by 100%. This is also because Naïve Bayes obtained the result from the probability value of each attribute being free of each other. en_US
dc.description.provenance Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2021-12-27T07:07:53Z No. of bitstreams: 1 Mila Anggraini_compressed.pdf: 184278 bytes, checksum: 9ad732078a0fdd386c67e990741bd3cb (MD5) en
dc.description.provenance Made available in DSpace on 2021-12-27T07:07:53Z (GMT). No. of bitstreams: 1 Mila Anggraini_compressed.pdf: 184278 bytes, checksum: 9ad732078a0fdd386c67e990741bd3cb (MD5) Previous issue date: 2021-06 en
dc.description.sponsorship Program Studi S1 Statistika Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau en_US
dc.language.iso en en_US
dc.publisher perpustakaan UR en_US
dc.subject algorithm, Naïve Bayes en_US
dc.subject k-fold cross validation en_US
dc.subject performance evaluation measure en_US
dc.subject health wellbeing level en_US
dc.title METODE ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK KLASIFIKASI TINGKAT KESEJAHTERAAN KESEHATAN MASYARAKAT PEKANBARU en_US
dc.type Article en_US
dc.contributor.supervisor Adnan, Arisman


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