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All Journal Jurnal Administrasi Negara CCIT (Creative Communication and Innovative Technology) Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdimas Imigrasi (JaIM)
Fathya, Vita Nurul
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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ANALYSIS OF MASS SOCIALIZATION OF THE STATE POLYTECHNIC OF IMMIGRATION: A CASE STUDY OF CLASS I IMMIGRATION OFFICE TPI BANDA ACEH Fathya, Vita Nurul; Mastur, Anida Sri Rahayu; Gibran, Atsil Syah
Jurnal Abdimas Imigrasi Vol 4 No 2 (2023): Jurnal Abdimas Imigrasi
Publisher : Polteknik Imigrasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52617/jaim.v4i2.496

Abstract

Tulisan ini mendeskripsikan terhadap langkah sosialisasi Politeknik Imigrasi oleh Kantor Imigrasi Kelas I TPI Banda Aceh merupakan kegiatan yang bertujuan untuk memperkenalkan dan memberikan pemahaman mengenai Politeknik Imigrasi kepada masyarakat, khususnya para siswa. Kegiatan sosialisasi ini dilakukan melalui pendekatan sosialisasi massal melalui radio Meugah Fm. Melalui sosialisasi ini, diharapkan masyarakat, khususnya para siswa, dapat memahami pentingnya Politeknik Imigrasi dalam mengembangkan sumber daya manusia di bidang keimigrasian. Selain itu, sosialisasi ini juga bertujuan untuk meningkatkan minat para siswa untuk melanjutkan pendidikan di Politeknik Imigrasi. Dengan demikian, diharapkan Politeknik Imigrasi dapat menjadi pilihan yang menarik bagi para siswa yang ingin mengembangkan karirnya di bidang keimigrasian.
TREND OF PUBLIC SERVICE APPLICATION ACCEPTANCE ANALYSIS: A SYSTEMATIC REVIEW USING THE PRISMA APPROACH Amrulloh, Adikara Akbar; Akbar, Rasona Sunara; Fathya, Vita Nurul
Jurnal Administrasi Negara Vol 31 No 1 (2025): Jurnal Administrasi Negara
Publisher : Politeknik STIA LAN Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33509/jan.v31i1.3476

Abstract

Indonesia's public service digital transformation has seen continuous development over the last five years, from 2020 to 2024. Digitalization is being applied across various sectors, including health, immigration, public service malls (MPP), local government, and the energy and financial sectors. This research aims to analyze the development of technology utilization in public services, identify the most frequently used analytical methods in studies related to public service applications over the past five years, and determine the factors influencing user satisfaction with public service applications. This study employs a Systematic Literature Review (SLR), guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach. It gathered and analyzed various research works related to technology implementation in public services to identify development patterns, dominant analytical methods, and key factors in assessing user satisfaction with applications. The research findings indicate that the Technology Acceptance Model (TAM) has remained the most dominant method over the past five years (2020-2024). The most influential factors affecting user satisfaction with applications are system quality, information quality, perceived ease of use, and service quality. The main challenges in digital transformation implementation include lack of information dissemination, the digital divide, infrastructure limitations, and resistance to change. With the increasing adoption of technology, research on public services is now shifting from user acceptance analysis towards the evaluation of implementation success and the impact of digitalization policies.
Systematic Literature Review: The Use of the K-Nearest Neighbor Algorithm in Data Classification for Government Policy Optimization Boru Manik, Maria Intan Parsaulian; Fathya, Vita Nurul; Wilonotomo, Wilonotomo
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3835

Abstract

Along with the rapid advancement of technology and the progress of the digital era, the volume of data across various sectors has significantly increased, making it necessary to process this data to support policy optimization. Data processing is essential for simplifying complex data by grouping it according to specific characteristics. K-Nearest Neighbor (KNN) is a widely used classification algorithm in data mining implementation, applying the principle of class determination based on the proximity between data points, calculated using the Euclidean distance metric. In the governmental sector, this algorithm has been utilized to improve the efficiency of public policies and data-driven decision support systems. This study employs a Systematic Literature Review (SLR) to examine the use of the K-Nearest Neighbor algorithm in previous research for classifying government-related data as a foundation for formulating more effective and efficient policies. The information is gathered by collecting references from relevant journals and studies to provide a detailed understanding of the effectiveness of data processing as a means for optimizing government policies and offering well-targeted decision-making recommendations.
Implementasi dan Dampak Teknologi Autogate: Tinjauan Sistematis Lintas Sektor Hutagalung, Daniel Ricardo; Susaningsih, Catur; Fathya, Vita Nurul
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.3959

Abstract

Autogate technology is increasingly used to enhance efficiency and security in access control across various sectors. This study examines the implementation and impact of autogate through a Systematic Literature Review (SLR) using the PRISMA method. Data were collected from Google Scholar, OpenAlex, and CrossRef for 2020–2025. Of 65 eligible articles, 30 were analyzed further. The findings indicate that autogate speeds up identity verification, reduces queues, and improves user convenience. However, challenges such as high costs, complex system integration, and varying user acceptance remain significant. This study provides insights into autogate development and offers recommendations for optimizing its implementation.
Co-Authors Akbar, Rasona Sunara Amrulloh, Adikara Akbar Boru Manik, Maria Intan Parsaulian Catur Susaningsih Gibran, Atsil Syah Hutagalung, Daniel Ricardo Mastur, Anida Sri Rahayu