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The Impact of E-Passport Adoption on Public Trust and Immigration Management Systems in Indonesia Gunawan Ari Nursanto; Rasona Sunara Akbar; Besse Hartati
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 3 (2025): JIMKES Edisi Mei 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i3.3325

Abstract

This study examines the trends in passport issuance in Indonesia for the year 2024, focusing on the transition from traditional non-e-passports to e-passports. The research aims to analyze the impact of e-passport adoption on immigration management and public service delivery. Given the increasing demand for digital transformation in public services, understanding the role of e-passports in improving service efficiency and enhancing public trust is critical. The study utilizes empirical data, including monthly passport issuance statistics from January to October 2024, comprising both e-passport and non-e-passport categories. By employing descriptive and trend analysis, the study identifies shifts in passport issuance patterns and evaluates the factors contributing to the rise in e-passport adoption. Key findings suggest a clear increase in e-passport issuance, highlighting its growing popularity and the positive effects on service efficiency, such as faster processing times and reduced administrative burdens. The study discusses the implications of e-passports on public trust in the Indonesian immigration system, suggesting that the digital shift has led to improved perceptions of service reliability and transparency.
KAJIAN LITERATUR TERHADAP METODE PENERIMAAN TEKNOLOGI: STUDI DALAM KONTEKS SISTEM INFORMASI DAN INOVASI DIGITAL Muhammad Risyad Alfarabi; Besse Hartati; Cakra Trinata
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 4 (2025): Volume 10. No4, Desember 2025.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i4.30382

Abstract

Digital transformation has driven various sectors, including immigration services, to adopt information technology in order to enhance service efficiency. This study employs a Systematic Literature Review (SLR) using the PRISMA framework to analyze the effectiveness of technology acceptance models—TAM, UTAUT, TRAM, and DeLone & McLean—within the context of public services. The findings reveal that TAM is the most frequently applied model (43%), followed by UTAUT (30%), TRAM (17%), and DeLone & McLean (7%). However, not all TAM variables significantly influence technology acceptance, and critical aspects such as government trust and data security are often overlooked. This study highlights gaps in existing models and recommends the development of a hybrid model that integrates TAM and UTAUT, incorporating these external factors to better suit public sector applications.
Digitalisation of Border Control through Autogate and the Emerging Configuration of Immigration System Resilience in Indonesia Hartati, Besse; Sunarto; Sukmana, Pandji; Rachmatsyah, T. Herry
International Journal of Social Science and Religion (IJSSR) 2026: Volume 7 Issue 1
Publisher : Indonesian Academy of Social and Religious Research (IASRR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53639/ijssr.v7i1.386

Abstract

This article examines Indonesia’s autogate policy not only as a digital service innovation, but as a component of immigration system resilience. Drawing on policy implementation theory by Edwards III, Sabatier & Mazmanian, e-government literature on the design reality gap, system resilience thinking, and the information security CIA triad, the study analyses how autogate is designed, regulated, and operated at major international airports. Using a qualitative descriptive approach based on documentary and literature review, it maps legal foundations, organizational arrangements, and technical narratives surrounding automated border control. The findings show that autogate has improved processing times, standardized procedures, and strengthened traceability through digital logs, thereby supporting efficiency, accountability, and internal control. However, recurrent system downtime, biometric errors, incomplete system integration, and heavy dependence on infrastructure reveal significant vulnerabilities in confidentiality, integrity, and availability of data. Fragmented governance across immigration, airport operators, cybersecurity, and communications authorities reinforces a design–reality gap, limiting coordination, local ownership, and adaptive capacity. The article concludes that autogate currently functions as a double-edged innovation, symbolizing digital modernization while only partially reinforcing immigration system resilience. It recommends clearer mandates, stronger cross-sector coordination, improved data governance, and investment in human resources and risk-based oversight to align automated border control with a more robust, rights-sensitive model of digital immigration governance.
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: 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.
Pengembangan Kerangka Konseptual Risiko Migrasi Hybrid Cloud Computing: Tinjauan Literatur Naratif Perspektif Sistem Informasi Trinata, Cakra; Fathya, Vita Nurul; Hartati, Besse; Febrianto, Arief; Wibowo, Pascalis Danny Kristi
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5485

Abstract

Migration to hybrid cloud computing is increasingly being implemented by organizations to achieve a balance between flexibility, security, and cost efficiency in supporting digital transformation. However, integration across private and public cloud environments and the use of multi-cloud environments creates technical and socio-technical complexities that increase operational risks. This study aims to develop a conceptual framework for hybrid cloud migration risks from an Information Systems perspective. The research method uses a narrative literature review of 23 relevant scientific articles. The analysis process is carried out in two stages: grouping literature findings into operational risk domains and mapping risks using Threat, Vulnerability, Risk Factors, Impact, and Damage components. The results identify eight key risk domains, including information security and privacy, compliance and regulation, migration costs, downtime and service availability, existing system integration and compatibility, interoperability and lock-in risk, observability and cross-cloud monitoring, and socio-technical readiness and information technology governance. The resulting conceptual framework emphasizes the importance of integrated risk management through a combination of technical controls and governance mechanisms. Practically, this framework can be utilized to help organizations identify, prioritize, and mitigate hybrid cloud migration risks more systematically.