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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Eduvest - Journal of Universal Studies
Eva Achjani Zulfa
Universitas Indonesia, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Social Sciences Other

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POLICING TRANSFORMATION IN THE CRYPTO ERA IN HANDLING TOKEN-BASED MONEY LAUNDERING IN INDONESIA Indah Hartantiningrum; Eva Achjani Zulfa; Chairul M. Setyabudi; M. Syaroni Rofii
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.4633

Abstract

The purpose of this study is to analyze how policing transformation in Indonesia can be carried out to address token-based money laundering, as well as to provide policy recommendations that can improve the effectiveness of law enforcement in the context of the development of crypto technology. Adopting a post-positivism paradigm and a qualitative approach to explore policing transformation in handling token-based money laundering in Indonesia. The data collected will be analyzed using qualitative analysis techniques, including coding and thematic analysis, to find relevant main patterns and themes. The results of the study indicate that the main challenges in law enforcement against crypto-based money laundering in Indonesia include a lack of insight into blockchain technology and cryptocurrency, inadequate policies, and difficulties in tracking transactions due to the decentralized nature and anonymity of digital assets. To overcome this problem, it is necessary to increase the technological capacity of law enforcement officers, develop special trained units, and implement stricter regulations. In addition, community empowerment through education and training for police officers is very important to improve competence in detecting suspicious transactions. With these strategic steps, it is hoped that cyber security can be more assured and the digital asset ecosystem in Indonesia will become more transparent and responsible.
Spatial Approach in Optimizing Human Resources of Immigration PPNS for Organizational Resilience in Immigration Law Enforcement Muhammad Aditya Majdi; Eva Achjani Zulfa; Riska Sri Handayani
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50783

Abstract

Immigration law enforcement in Indonesia requires human resources (HR) that are optimally distributed throughout the region to face increasingly complex dynamics and challenges. This article aims to explore the strategy of optimizing human resources in the Immigration Civil Servant Investigator Officer (PPNS) using a spatial approach, in order to increase organizational resilience in immigration law enforcement. A spatial approach was applied to analyze the distribution of PPNS Immigration human resources in various regions by considering geographical factors, population density, as well as the intensity of immigration activities and potential violations of the law. By utilizing spatial analysis, this study identifies areas that need to increase the number or quality of human resources, as well as formulate a more effective human resource distribution strategy. The findings of this study are expected to provide strategic recommendations for the government to strengthen organizational resilience and the effectiveness of immigration law enforcement through more efficient and spatial data-based human resource management.an abstract must accompany each manuscript; This abstract must be completely consistent on its own (eg, without numbers, tables, equations or reference citation), not exceeding 250 words and written as a paragraph. The abstract should include research objectives, methodology, and findings.
Co-Authors Chairul M. Setyabudi Indah Hartantiningrum M. Syaroni Rofii Muhammad Aditya Majdi Riska Sri Handayani