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首页> 外文期刊>Jurnal RESTI: Rekayasa Sistem dan Teknologi Informasi >Business Intelligence System for Evaluation of Widyaiswara Ministry of Religious Affairs Performance:
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Business Intelligence System for Evaluation of Widyaiswara Ministry of Religious Affairs Performance:

机译:威达瓦拉宗教事务部评价商业智能制度:

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摘要

The Religious Research, Development and Training Agency of the Ministry of Religious Affairs as a supervisory unit for Widyaiswara functional positions, has the task of evaluating the performance of Widyaiswara of the Ministry of Religious Affairs. That demands the availability of a need for reports or data that presented quickly and accurately when the Widyaiswara performance evaluation process is conducted every year. The problem that occurs these days is that the data on the result of credit score of Widyaiswara assessment are stored in an unstructured excel file. This study utilizes the data warehouse and business intelligence in the process of Widyaiswara performance evaluation. The OLTP (Online Transaction Process) Data that presented for data warehouse is the result of credit score of Widyaiswara assessment. The planning of data warehouse conducted through nine-steps methodology that created by Kimball and Ross, then those data were analyzed using OLAP (Online Analytical Processing) in the application of qliksense in the form of dashboard business intelligence to present the data in a faster visual form. The result, giving the information to the leader to evaluate the performance of Widyaiswara, especially in making decision such as circular letter to improve the quality of Widyaiswara performance, the minimum score limit in the performance agreement, reward in the form of certificate of appreciation for the highest score and punishment in the form of warning letter for the low total score. 
机译:宗教事务部的宗教研究,发展和培训机构作为Widyaiswara职能职位的监督单位,是评估宗教事务部Widyaiswara的绩效的任务。这需要在每年进行Widyaiswara绩效评估过程时,需要快速准确地提出的报告或数据的可用性。这些天发生的问题是,Widyaiswara评估的信用评分结果的数据存储在非结构化的Excel文件中。本研究利用了Diadyaiswara绩效评估过程中的数据仓库和商业智能。为数据仓库提供的OLTP(在线交易过程)数据是Widyaiswara评估的信用评分的结果。通过Kimball和Ross创建的九步方法进行的数据仓库的规划,然后使用OLAP(在线分析处理)在应用QlikSense以仪表板商业智能的形式应用QlikSense来分析这些数据,以呈现更快的视觉数据形式。结果,向领导者提供资料,以评估Widyaiswara的表现,特别是在制定循环信中的决定,以提高瓦雅岛瓦拉绩效的质量,绩效协议的最低分数,以升值证明的形式奖励以较低的总分警告信的形式得分最高和惩罚。

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