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Andrew Sumichan
Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Determination of the Senior High School Department Using the Expectation Maximization Algorithm I Made Gede Yudiyana; Andrew Sumichan; Muhammad Ridwan Satri0; Antonius Ibi Weking
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

High school is an educational institution that has directed students to concentrate or learn more in the field of science in accordance with the academic abilities of the students concerned. Generally the top high school has 3 department intended for students when climbing levels from grade 1 to grade 2, namely majors in Science, Social Sciences and Language. Nowadays with a growing human population, the number of students enrolled in a school is quite large, with the number generally in public schools 30 to 40 students per class. With the large number of students this will provide difficulties to determine the direction of each student if done manually. With this problem the researcher implements an EM (Expectation Maximization) method, this method is chosen because of its ability to get the highest probability value and can find the optimal parameters even though the available available map is incomplete or lacking. Using this method will make it easier for a school institution to determine the right direction for students
Designing a Virtual Data Warehouse in Supporting Sales Information Needs (Case Study: National Scale Building Material Store X) Andrew Sumichan; I Made Gede Yudiana; Muhammad Ridwan Satrio; I Made Sudarma
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

National-scale building material stores that have branches in various regions certainly want the business to run smoothly. This must be supported by good sales activities at the central store and also branch stores spread in various places. However, there is no solution to collect sales data from branch shops quickly, causing a slow response to the analysis of the increasing trend in sales of goods and goods whose sales trend has dropped. This can reduce sales competitiveness in this national scale business with similar competitors. Virtual data warehouses can help collect scattered operational data, in this case sales data located at branch stores in various locations are then collected into a data warehouse that is stored in the cloud server so that it can be processed for strategic decisions. Virtual data warehouse is a data warehouse that connects operational databases regardless of where the database is located and regardless of the format, looks as if somewhere and in a consistent format. This study produces a virtual data warehouse structure that applies the kimball nine step design method so that it produces a data warehouse schema model with the star scheme. This study explains the design of a virtual data warehouse that can facilitate analysis of sales data at national scale building material stores that have branches in various places
Co-Authors Antonius Ibi Weking I Made Gede Yudiana I Made Gede Yudiyana Made Sudarma Muhammad Ridwan Satri0 Muhammad Ridwan Satrio