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Use of Intelligence Based Agents to Deal with Cyber Crime Muhamad Arif Budiman; Muhammad Erza Aminanto
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.4049

Abstract

The rapid development of information and communication technology has encouraged the development of cybercrime. As a type of crime that is different from conventional crime, the handling of cybercrime requires a special way. This paper aims to examine intelligence-based agents for handling cyber crimes, Indonesia, with a focus on the use of chatbots. The method used is the library research method. Data sourced from various books, journals and internet sources were then analyzed by descriptive analysis method. The results show that the current development of AI has allowed its use to carry out crime data mining. One of the ways to do this is by using a chatbot, which is a type of intelligence-based agent. The use of chatbots in the police has the possibility to be developed as a cybercrime detection and evidence collection method. This is done by developing a chatbot framework, methodology and evidence collection procedures on the dark web and digital forensic practices.
The Effectiveness of the National Digital Samsat Application (SIGNAL) on Reducing Queues and Increasing Compliance of Motor Vehicle Taxpayers in Tanjungpinang Dio Putra Adiansah; Surya Nita; Muhammad Erza Aminanto
LITERACY : International Scientific Journals of Social, Education, Humanities Vol. 4 No. 2 (2025): August : International Scientific Journals of Social, Education, Humanities
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/literacy.v4i2.2227

Abstract

This study examines the effectiveness of the SIGNAL (Samsat Digital Nasional) application in reducing queues and increasing compliance among motor vehicle taxpayers in Tanjungpinang. The background of the research is rooted in persistent low tax compliance and administrative inefficiencies, particularly long queues at the Samsat office. The study aims to evaluate whether the SIGNAL application enhances the efficiency of public services and improves taxpayer behavior. Using a quantitative research method with a survey approach and random sampling, the research collects and analyzes data statistically to identify the relationship between digital tax services and taxpayer compliance. The findings suggest that the SIGNAL application contributes positively by streamlining tax payment procedures, minimizing in-person interactions, and offering timely access to tax information, which collectively foster better compliance. However, challenges remain, including limited infrastructure and digital literacy among segments of the population. The study concludes that while SIGNAL improves service delivery and compliance, its full potential can only be realized with enhanced public outreach and inter-agency collaboration. These results have implications for digital governance and suggest that integrating technology into public administration can effectively support tax compliance and reduce service bottlenecks.