Implementation of Business Intelligence to Determine Evaluation of Activities (Case Study Indonesia Stock Exchange)

Автор: Ali Fajri, Ardiles Sinaga

Журнал: International Journal of Information Engineering and Electronic Business @ijieeb

Статья в выпуске: 6 vol.12, 2020 года.

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This study aims to examine how to evaluate the activities undertaken in IDX. By building the system "business intelligence implementation to determine the evaluation of activities ". Where in this study also used the algorithm Naive Bayes in the process of data classification activities that have been done. The approach to the development of this software is through the study of libraries, data collection, system design, system implementation, Test systems and analysis. The tools used in the development of this software are Pentaho, PostgreSQL (as a data processing tool), Microsoft Excel (as a tool for creating training data), XAMPP (as a Web server tool) and the encoding used in this software development is the PHP CodeIgniter framework (as the backend), Highcharts (as Dashboard views) and DataTables (as table views). In this study, authors build software that is expected to help the Directorate of Development (RPE) in conducting evaluation activities in IDX. The analysis of the study uses variables from budget-realization data and activity categories as comparators to figure out the activity status. The study also used IDX activity data in 2018 to implement a built-in system. The results of this study show that the realization of the budget and category of this activity strongly affects the activities that will be evaluated or not evaluated. Activities in each of the IDX representative offices are also potentially to be evaluated, depending on the value of the budget specified in the training data set.

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Business intelligence, data warehouse, etl, classification, naive bayes classifier, activites evaluation

Короткий адрес: https://sciup.org/15017425

IDR: 15017425   |   DOI: 10.5815/ijieeb.2020.06.05

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