Abstract
Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in data by filtering large amounts of data. Data mining uses pattern recognition technology that is similar to statistical techniques and mathematical techniques. The patterns found can provide useful information for generating economic benefits, effectiveness and efficiency. Algorithm Naive Bayes Classifier is one method of data mining that can be used to support effective and efficient promotion strategies. The Naive Bayes Classifier algorithm is used to predict the interest of the study based on the calculations performed. The data used are new student registration data from 2014 until 2016 at Bina Darma University. The results of this study are new models that are expected to provide important information can be used to assist the Marketing Team of Bina Darma University Palembang in policy making and implementation of appropriate marketing strategy. The results obtained are expected to help to support the promotion strategies that impact on the effectiveness and efficiency of promotion and increase the number of new students who will register.
Highlights
Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases
The introduction should be clearly contain the gap analysis
E., dkk, 2005, Decicion Support Systems and Intelligent Systems, Andi Offse [8]. www.binadarma.ac.id , website Universitas Bina Darma Palembang pada tanggal 29-05-2016
Summary
The introduction must contain a general background (shortly), a literature review (state of the art) in order to record the existing method/solutions, to show which is the best of previous researches and to show the main limitation of the previous researches. It has be contain with at least 5 literature in order to justify novelty this paper. Salah satu penerapan data mining dengan naive bayes classifier dalam perguruan tinggi adalah untuk mengetahui minat dan ketertarikan calon mahasiswa baru terhadap program studi yang tersedia dengan memprediksi probabilitas keanggotaan suatu class. Konsep bayesian classification ditujukan untuk memprediksi probabilitas di masa depan berdasarkan pengalaman di masa sebelumnya
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