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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Abdimas Imigrasi (JaIM)
Priati Priati, Priati
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Humanities Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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IMPLEMENTASI PENGABDIAN MASYARAKAT DALAM PENINGKATAN PEMAHAMAN AUTOGATE DI KANTOR IMIGRASI JAKARTA BARAT Nursanto, Gunawan Ari; Priati, Priati; Trinata, Cakra; Piranti, Nurul Maharani
Jurnal Abdimas Imigrasi Vol 6 No 1 (2025): JURNAL ABDIMAS IMIGRASI
Publisher : Polteknik Imigrasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52617/jaim.v6i1.748

Abstract

Kegiatan pengabdian masyarakat ini menerapkan pendekatan Participatory Action Research (PAR) untuk meningkatkan pemahaman masyarakat tentang sistem Autogate di Kantor Imigrasi Jakarta Barat. Program kolaboratif antara akademisi, petugas imigrasi, dan masyarakat ini dirancang melalui tiga tahap utama: (1) identifikasi kebutuhan berbasis partisipasi, (2) pengembangan materi penyuluhan interaktif, dan (3) implementasi dengan pendekatan learning by doing. Metode evaluasi menggunakan kombinasi kuesioner pre-test/post-test (N=85), observasi partisipan, dan diskusi kelompok terfokus menunjukkan peningkatan signifikan dalam pemahaman teknis (47%), persepsi manfaat (52%), dan kemudahan penggunaan (43%). Temuan ini memperkuat teori Technology Acceptance Model dengan menegaskan pentingnya experiential learning dalam adopsi teknologi. Program ini juga menghasilkan modul pelatihan standar yang telah diadopsi oleh Kantor Imigrasi sebagai bagian dari kurikulum pelatihan petugas. Implikasi praktisnya mencakup rekomendasi untuk desain antarmuka yang lebih inklusif dan model kolaborasi institusi pendidikan-instansi pemerintah yang lebih terstruktur.
Association Rule Mining across Multiple Domains: Systematic Literature Review Syahirah, Dayini; Priati, Priati; Martadireja, Okky Pratama
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15227

Abstract

This Systematic Literature Review (SLR) synthesizes 50 studies published between 2020 and 2025 that applied Association Rule Mining (ARM) across multiple domains, using the PRISMA 2020 framework. The review examines application areas, algorithm choices, implementation tools, parameter settings, and emerging trends. Results indicate that transportation and market analysis are the most prominent domains, followed by healthcare, manufacturing, and governance, with smaller contributions from tourism, agriculture, energy, and the environment. Apriori remains the most widely used algorithm due to its simplicity, FP-Growth is preferred for efficiency, and hybrid or modified approaches are adopted to address scalability issues. Python dominates as the primary implementation tool, alongside RapidMiner and R-Studio, with parameter thresholds generally adapted to dataset size and domain-specific needs. The novelty of this review lies in providing a cross-domain synthesis of ARM, filling the gap left by prior reviews that were limited to specific fields or algorithms. This broader perspective reveals temporal trends and recurring challenges, particularly scalability and interpretability, while identifying opportunities such as integration with deep learning, real-time ARM, and cross-domain adaptation. By offering a structured overview of developments in ARM, this study contributes both conceptual insights and practical guidance, serving as a reference for optimizing applications and informing future research directions.
Co-Authors Martadireja, Okky Pratama Nursanto, Gunawan Ari Piranti, Nurul Maharani Syahirah, Dayini Trinata, Cakra