Paradigma
Vol 14, No 2 (2012): PERIODE SEPTEMBER 2012

PENGEMBANGAN MODEL DATA WAREHOUSE UNTUK MENUNJANG PENGAMBILAN KEPUTUSAN STRATEGIK DI BIDANG AKADEMIK KEMAHASISWAAN: STUDI KASUS AKADEMI BINA SARANA INFORMATIKA

Reva Ragam Santika (Program studi Magister Ilmu Komputer Fakultas Pascasarjana Universitas Budi Luhur)



Article Info

Publish Date
27 Mar 2018

Abstract

An educational institution requires a deeper knowledge for evaluation, making better plan and decision. Some of this knowledge can be extracted from operational data which stored in a database of educational institutions into a Data Warehouse that can be used to support decisionmaking process. The Data Warehouse has a big role in providing strategic information for decision-making process for a Data Warehouse can perform complete data storage and consistent, obtained from various sources that can be used to meet the needs of end users in a business context. This study examined the development of a Data Warehouse model for student academic data so it can dig up the information which is important and also to build a model that can assist strategic in making decision that can improve the daily operations in providing the best service forstudents. The result of this research is a Data Warehouse application complete with a web-based data presentation and desktop. The ultimate goal of this research is to produce a data warehouse model that can support the needs of end users in decision-making by providing strategic information about the academic drawn from a Data Warehouse that can generate accurateinformation and do not take a long time to get that information, so that strategic decisions taken can be more accurate and optimal.Keywords : Data Warehouse, Strategic Decision, Student Academic.

Copyrights © 2012






Journal Info

Abbrev

paradigma

Publisher

Subject

Computer Science & IT

Description

The first Paradigma Journal was published in 2006, with the registration of the ISSN from LIPI Indonesia. The Paradigma Journal is intended as a media for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems and Information Technology, both ...