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Policy Diffusion, Digitalisation, and Governance Gaps in the Implementation of Indonesia's Golden Visa Programme Nursanto, Gunawan Ari; Sunarto, Sunarto; Sukmana, Pandji; Djatmiko, Gatot Hery
Journal Of Global Strategic Studies : Jurnal Magister Hubungan Internasional Vol 5 No 2 (2025): Journal of Global Strategic Studies
Publisher : Master's Programs in International Relations, Faculty of Social and Political Science, Jenderal Achmad Yani University (UNJANI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36859/jgss.v5i2.5090

Abstract

Indonesia’s Golden Visa, launched in 2023 through Minister of Law and Human Rights Regulation No. 22/2023, is promoted as a residence-by-investment scheme to attract foreign capital and talent for post-pandemic recovery and digital transformation. This article uses a qualitative descriptive approach based on documentary analysis of regulations, internal guidance, official statistics, and scholarly literature on Golden Visa programmes, investment migration, and digital immigration governance. It examines how Indonesia’s scheme is designed and how far its monitoring and governance arrangements are specified.The findings show that Indonesia, as a latecomer, selectively borrows design elements from European models longer residence durations, high investment thresholds, and privileged treatment for targeted investors and global talents—while embedding the programme in a digital-by-design architecture with online application and stay-permit services. However, there is a gap between relatively sophisticated ex-ante design and under-specified ex-post monitoring and evaluation. References to investment realisation, supervision, and revocation lack operational detail on risk-based triggers, inter-agency coordination, and data governance. The article argues that Indonesia’s Golden Visa must move beyond investment-promotion rhetoric toward an end-to-end, digitally supported monitoring model and contributes to debates on policy diffusion, investor migration, and digital governance by emphasising institutional capacity and accountability.
Enhancing Public Wellbeing Through Autogate at Soekarno-Hatta International Airports Gunawan Ari Nursanto; Isidorus Anung Prabadhi; Besse Hartati; Wilonotmo Wilonotmo; Nurul Maharani Piranti
Return : Study of Management, Economic and Bussines Vol. 3 No. 3 (2024): Return : Study of Management, Economic And Bussines
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v3i2.214

Abstract

The rapid advancement of information technology (IT), marked by innovations such as artificial intelligence (AI) is reshaping various sectors and challenging traditional frameworks, particularly towards automation. This transformation is particularly evident in public policy, as governments strive to enhance efficiency and citizen satisfaction. The adoption of information and communication technology, such as Autogate systems, emerges as a crucial strategy. In the context of immigration services, Autogate facilitates expedited immigration clearance procedures through biometric technology, enhancing security and efficiency. However, the implementation of such technologies raises concerns about public wellbeing. This research aims to assess the use and impact of Autogate technology on public wellbeing, focusing on its implementationat at Soekarno-Hatta Airport. The research methodology employed in this study involves two key approaches, interviews and observational studies. Findings reveal significant improvements in passenger experience and immigration efficiency, highlighting the potential of Autogate to enhance border management and public wellbeing. This research contributes to understanding the implications of technological advancements in immigration management and informs policymakers and stakeholders about the opportunities and challenges associated with Autogate implementation and public well being.
SYSTEMATIC LITERATURE REVIEW ON QR CODE IMPLEMENTATION FOR GOVERNMENT INVENTORY MANAGEMENT SYSTEMS Geraldo Nathaniel; Gunawan Ari Nursanto; Okky Pratama Martadireja
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 In Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.33668

Abstract

This study aims to systematically review various literature related to the design and development of a web-based office stationery (ATK) management application utilizing QR-Code technology. The research focuses on the implementation of this system at the Class I Non-TPI Immigration Office in Bekasi as an effort to support the efficiency of APBN (State Budget) utilization. This study collects, filters, and analyzes articles, journals, and other academic sources relevant to the topic to provide a comprehensive overview of the benefits, challenges, and methodologies for designing digital systems in government environments. The review results indicate that a QR-Code-based system can reduce recording errors, accelerate administrative processes, and enhance transparency in budget usage. Additionally, the implementation of this technology supports the digital transformation of bureaucracy, aligning with the government's budget efficiency policies. The findings from the reviewed literature provide a theoretical foundation for the proposed system's development and highlight the importance of integrating information technology into ATK inventory management to optimize operational efficiency and budget utilization.
Systematic Literature Review: Population Density Mapping Using Data Mining Rafli, Muhammad; Hartati, Besse; Nursanto, Gunawan Ari
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.10187

Abstract

Population density is a critical indicator in regional development planning because it is closely associated with public service distribution, transportation systems, healthcare provision, and environmental management. The rapid growth of digital technology has increased the volume and complexity of demographic data, requiring more effective analytical methods for population density analysis. This study aims to analyze the application of data mining in population density mapping based on studies published between 2021 and 2025. A systematic literature review approach was employed by examining 30 scientific articles obtained from Google Scholar, Semantic Scholar, and Crossref. The review process included article identification, literature screening, data collection, and analysis of findings based on the algorithms, research fields, data sources, and analytical methods used in the selected studies. The findings indicate that the most frequently applied algorithms were K-Means Clustering, DBSCAN, and Density Peaks Clustering. Data Mining and Machine Learning emerged as the dominant research field, representing 50% of the analyzed articles. The primary data sources used in the reviewed studies included public datasets, government data, and spatial imagery. The results also show that clustering was the most commonly applied analytical method in population density analysis. These findings demonstrate that clustering techniques are effective for supporting population density mapping and identifying spatial data distribution patterns relevant to regional decision-making. The study contributes to demographic and regional development research by synthesizing recent evidence on the role of data mining in population density mapping and providing a reference for future studies on spatial demographic analysis.
The Salience of Work from Home Policy in Street-Level Bureaucracy for Managing Immigration Services Nursanto, Gunawan Ari; Hartati, Besse; Susaningsih, Catur; Akbar, Rasona Sunara; Trinata, Cakra; Rosmaya, Mila
International Journal of Qualitative Research Vol. 5 No. 3 (2026): March
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijqr.v5i3.2745

Abstract

This study examines the implementation of work-from-home (WFH) arrangements in Indonesian immigration public service delivery through the lens of street-level bureaucracy. The study is situated within the 2026 policy context, in which WFH was introduced as a crisis-responsive governance measure to reduce mobility, support energy efficiency, and maintain public-sector productivity amid global energy uncertainty. Using a qualitative descriptive-analytical approach, this study combines document analysis of national and sectoral WFH regulations with non-participant observation of frontline immigration service practices in five Immigration Offices in Jabodetabek. The findings show that WFH in immigration services cannot be applied uniformly because immigration work combines administrative service, legal authority, identity verification, public interaction, and state security functions. Remote work is suitable for administrative and document-based tasks, while biometric capture, passport interviews, detention management, immigration checkpoints, and enforcement functions require physical presence. The study concludes that WFH should be governed as a controlled hybrid mechanism supported by task classification, digital supervision, data protection, output-based accountability, and service-continuity safeguards.