QUATTRA, DATA MINING COMPUTER APPLICATION FOR APPRENTICE RESEARCHER

• Main Author: Gharutha (NIM : 13412016), Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23238
• Institution: Institut Teknologi Bandung

Data Mining is one of the most important field of science in ITB Industrial Engineering due to its capability of delivering understanding and prediction model from a research data. In ITB Industrial Engineering Undergraduate Program research based on Data Mining is scarce with an average of two graduation thesis each year. This condition is attributed by low level understanding of Data Mining method, lack of Data Mining program usage, and insufficient programming ability on undergraduate students. Hence needed a solution in the form of Data Mining computer application that can both be used as a learning and research material for apprentice researcher. <br /> <br /> Computer application “Quattra” is made capable of tackling all kind of classification data type using four provided method. These methods are Naïve Bayes, C4.5, Support Vector Machine, and Artificial Neural Network. This computer application is made using C# open source library “Accord .net” and tested using data from UCI Machine Learning Repository. The classification data that were used consists of four each of binary and Multi-class classification with different attribute. This computer application is also tested using “Data Mahasiswa” in compliance to previous research. <br /> <br /> Computer application “Quattra” is tested and proven capable of creating model that is better than WEKA model on some particular methods. The interfaces can be used intuitively and are easy to understand. Some option that aids Data Mining process also provided in the computer application. In general, computer application “Quattra” is ready and capable to be used as both learning and research material for apprentice researcher.