Optimal Auto Calling Algorithm For Real-Time Condition Reporting By Corruption Handling Officer

Ida, Hamdan Gani, Muhammad Faisal, Rosnani
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Abstract

Corruption is a primary development challenge in Indonesia's economic and social field. In order to overcome these threats, Indonesia's government has been established the Corruption Eradication Commission (Komisi Pemberantasan Korupsi, abbreviated KPK). KPK's goal is to free Indonesia from corruption by investigating corruption cases and monitoring the governance process. KPK uses one effective method called “hand arrest operation”, abbreviated OTT, to handle corruption cases. However, the existing hand arrest operation that KPK used today is not always effective because, in real action, the KPK's official always overdue to find actual evidence of the communication between the suspect. Thus, there is a need for a rapid method to record the suspicious conversation or transaction voice between the suspect as actual evidence for a corruption case. Thus, this paper aims to propose a supporting tool for real-time hand arrest operations to support KPK officials in OTT action. The experimental results show that the proposed method can effectively record all the suspicious communication or transaction voices between the suspect in a scenario room. Finally, this study concluded that the proposed method is a promising way to help the work of KPK in OTT.
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腐败处理人员实时状态报告的最优自动呼叫算法
腐败是印尼经济和社会领域的主要发展挑战。为了克服这些威胁,印尼政府成立了根除腐败委员会(Komisi Pemberantasan Korupsi,简称KPK)。肃贪委的目标是通过调查腐败案件和监督治理过程,使印尼摆脱腐败。肃贪会使用一种有效的方法,称为“手抓行动”,简称“手抓行动”,来处理贪污案件。然而,KPK目前使用的手抓行动并不总是有效的,因为在实际行动中,KPK的官员总是迟迟没有找到嫌疑人之间通信的实际证据。因此,需要一种快速的方法,将嫌疑人之间的可疑对话或交易声音记录下来,作为腐败案件的实际证据。因此,本文旨在提出一种实时抓手操作的支持工具,以支持肃贪局官员的OTT行动。实验结果表明,该方法可以有效地记录场景室中嫌疑人之间的所有可疑通信或交易语音。最后,本研究得出结论,提出的方法是一种有希望的方式来帮助KPK在OTT中的工作。
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