IMPLEMENTASI NAÃVE BAYES CLASSIFIER UNTUK MENENTUKAN JENIS SKRIPSI BERDASARKAN BIDANG KEILMUAN DI TEKNIK INFORMATIKA STT-PLN
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
ALEXANDRINA, ZURAINA WIRDHA
Palupiningsih, Pritasari
Widiyanto, Max Teja Ajie Cipta
Palupiningsih, Pritasari
Widiyanto, Max Teja Ajie Cipta
Subject
Teknik Informatika
Datestamp
2022-09-21 06:18:50
Abstract :
The college student hard to search the thesis reference based on scientific field because in informatics engineering STT-PLN there is no thesis category, so the list of exist thesis has not been categorized and not ordered. This study discusses the classification of thesis based on scientific fields using the Naïve Bayes Classifier (NBC) method. The used data in this study is the thesis abstract of Informatics Engineering students in STT-PLN Jakarta. Which is to determine abstract documents belong to certain categories using K-means clustering. The function of clustering here is to group documents that are similar to each other. The application of Naive Bayes Classifier method with text mining as an initial data processing from the thesis type classification app based on scientific field, could be conclude that this study produce the accuration from probability value 90 % and proved that Naive bayes method could be used for helping classify thesis type based on scientific field.
The college student hard to search the thesis reference based on scientific field because in informatics engineering STT-PLN there is no thesis category, so the list of exist thesis has not been categorized and not ordered. This study discusses the classification of thesis based on scientific fields using the Naïve Bayes Classifier (NBC) method. The used data in this study is the thesis abstract of Informatics Engineering students in STT-PLN Jakarta. Which is to determine abstract documents belong to certain categories using K-means clustering. The function of clustering here is to group documents that are similar to each other. The application of Naive Bayes Classifier method with text mining as an initial data processing from the thesis type classification app based on scientific field, could be conclude that this study produce the accuration from probability value 90 % and proved that Naive bayes method could be used for helping classify thesis type based on scientific field.
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