2021
DOI: 10.5815/ijmecs.2021.03.05
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Predicting Student Program Completion Using Naïve Bayes Classification Algorithm

Abstract: Data mining approaches provide different educational institutions opportunities to find hidden patterns from the data stored in the database. Many researchers have used these data to develop a model that would assist the institution administrators in decision-making. This study was performed to predict student program completion using the Naï ve Bayes classifier technique. The dataset utilized in this study was obtained from Bulacan State University -Sarmiento Campus in the Philippines under BS Information Tec… Show more

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Cited by 21 publications
(10 citation statements)
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“…Tujuan utama dari penelitian ini adalah menerapkan pendekatan Naive Bayes untuk menganalisis kemampuan siswa secara holistik dalam mata kuliah RPL dengan PjBL [17] [14], dengan mengidentifikasi faktor-faktor kunci yang mempengaruhi hasil akademis siswa [18] [19]. Penelitian ini berkontribusi pada pengembangan strategi pembelajaran yang lebih adaptif dan responsif dalam konteks mata kuliah RPL dengan PjBL.…”
Section: P-issn: 2302-3295unclassified
“…Tujuan utama dari penelitian ini adalah menerapkan pendekatan Naive Bayes untuk menganalisis kemampuan siswa secara holistik dalam mata kuliah RPL dengan PjBL [17] [14], dengan mengidentifikasi faktor-faktor kunci yang mempengaruhi hasil akademis siswa [18] [19]. Penelitian ini berkontribusi pada pengembangan strategi pembelajaran yang lebih adaptif dan responsif dalam konteks mata kuliah RPL dengan PjBL.…”
Section: P-issn: 2302-3295unclassified
“…The main advantage of this classification is to measure the average of several variables to be classified. Naïve Bayes technique for predicting performance in the field of data mining processing [6], Nave Bayes Classification can be optimized in implementing artificial intelligence machine systems that can detect and prevent messages cyber bullying online and filter it [7]…”
Section: Naive Bayesmentioning
confidence: 99%
“…This enables building models achieving a higher accuracy rate. Studies show that real data sets which have undergone data pre-processing achieve efficient results [2,3] With the use of data mining techniques, processors are no longer limited to passively storing or collecting data. They can also help the users to actively extract the key points from large amounts of data and make use of analysis or prediction.…”
Section: Related Workmentioning
confidence: 99%
“…The growth is driven by a lot of factors such as low labor cost, skilled workforce, and neutrally accented English language [1]. Its role in the growth and evolution of APEC economies is undeniably very important and one that warrants attention in a regional forum such as APEC [2]. The BPO sector currently employs millions of workers in the Philippines and still growing which is an indication of future development and a great source of job creation.…”
Section: Introductionmentioning
confidence: 99%