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All Journal International Journal of Engineering and Emerging Technology
Aggry Saputra
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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Journal : International Journal of Engineering and Emerging Technology

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Designing Data Warehouse for Analysis of Culinary Sales With Multidimensional Modeling – Star Schema Design (Case Study: XYZ Restaurant) Aggry Saputra; Zulfachmi Zulfachmi; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Fast and accurate information is one of the factors that make a company can be more superior than the other. In order to meet the information needs of various data, it takes a data warehouse where data from data warehouse can be more useful information so that can be used in support of a decision quickly. Star Schema is one dimensional model of data warehouse that has fact tables in the middle and is surrounded by several dimension tables.
Classification Study Period Department of Information Systems at STMIK Bandung Bali using Support Vector Machine (SVM) Method Zulfachmi Zulfachmi; Aggry Saputra; I Gusti Ngurah Janardana
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Graduation is the final stage of learning processactivities in universities. The undergraduate study period underSTMIK Bandung Bali regulation is scheduled in 8 semesters (4years) or less and a maximum of 14 semesters (7 years).Information Systems is one of the majors in STMIK Bandung Bali.The study period of this department can be influenced by manyfactors. These factors are the Kumulatid Credit Index (IPK),gender, scholarship, part-time work, Student Activity Unit (UKM).Purpose of this study was to determine the classification ofaccuracy factors. In this study using SVM (Support VectorMachine) method with accuracy of 99.07%.
Co-Authors l Gusti Ngurah Janardana Made Sudarma Zulfachmi, Zulfachmi