印度尼西亚东爪哇的汽车损失数字的POWER商业智能仪表板可视化

Ardath Prahara Setyan, I. Pratama
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引用次数: 0

摘要

东爪哇省因各种犯罪方式造成大量机动车损失。需要有一个系统,可以处理这些数据,以协助执法人员在调查机动车盗窃犯罪和减少损失的决策过程。因此,在本研究中,使用商业智能(BI)对机动车盗窃进行数据处理,并显示在Power BI仪表板上。使用的研究方法是文献研究,访谈,数据收集,实施,评估和文件。测试结果显示,2016年发生的车辆盗窃案件最多(1635起),使用假钥匙的模式最多,汽车品牌最多的是本田。研究的最终结果表明,基于Power BI的数据和信息的可视化和交互式呈现可以帮助执法人员了解数据,获取信息,并制定决策和政策来处理摩托车盗窃案件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
POWER BUSINESS INTELLIGENCE DASHBOARD VISUALIZATION of LOSSES NUMBER of MOTOR VEHICLE in EAST JAVA, INDONESIA
East Java Province has a high number of motorized vehicle losses with various modes of crime. There needs to be a system that can process the data to assist the decision-making process for law enforcement officers in investigating the crime of motor vehicle theft and reducing the amount of loss. For this reason, in this research, data processing of motor vehicle theft was carried out using Business Intelligence (BI) and displayed on the Power BI dashboard. The research methodology used is literature study, interviews, data collection, implementation, evaluation, and documentation. The test results show the highest number of vehicle theft cases occurred in 2016 (1,635 cases) with the most modes using fake keys, and with the highest vehicle brand being Honda. The final result of the study shows that the presentation of data and information visually and interactively based on Power BI can help law enforcers to understand data, obtain information, and make decisions and policies to handle motorcycle theft cases.  
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