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All Journal Cerdika: Jurnal Ilmiah Indonesia Journal of Economics, Entrepreneurship, Management Business and Accounting
Harri Dolli Hutabarat
Universitas Pertahanan Republik Indonesia
Humanities Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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Optimalisasi Maritime Domain Awareness Berbasis Artificial Intelligence untuk Meningkatkan Resiliensi Keamanan Maritim Indonesia Menghadapi Ancaman Hibrida Global Pada Jalur Perdagangan Internasional Indo-Pasifik Lukman Yudho Prakoso; Hudiarto Krisno Utomo; Harri Dolli Hutabarat; Asep Iwa Soemantri; Steven Toar Sambouw
Cerdika: Jurnal Ilmiah Indonesia Vol. 6 No. 8 (2026): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v6i8.3822

Abstract

Perkembangan ancaman hibrida global di kawasan Indo-Pasifik telah meningkatkan kompleksitas tantangan keamanan maritim yang tidak hanya mencakup ancaman militer, tetapi juga kejahatan lintas negara, serangan siber, gangguan ekonomi, dan ancaman informasi. Sebagai negara kepulauan dengan posisi strategis dalam jalur perdagangan internasional, Indonesia membutuhkan sistem Maritime Domain Awareness (MDA) yang mampu mendeteksi, menganalisis, dan merespons ancaman secara cepat serta terintegrasi. Penelitian ini bertujuan untuk menganalisis implementasi MDA Indonesia dalam menghadapi ancaman hibrida global serta merumuskan strategi optimalisasi MDA berbasis Artificial Intelligence (AI) untuk meningkatkan resiliensi keamanan maritim nasional. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan desain studi kasus strategis. Data diperoleh melalui studi literatur, analisis dokumen, observasi, serta wawancara mendalam dengan para ahli dan pemangku kepentingan terkait. Analisis data dilakukan menggunakan model Miles, Huberman, dan Saldaña melalui tahapan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa implementasi MDA Indonesia masih menghadapi kendala berupa fragmentasi data antarinstansi, keterbatasan pengawasan real-time, ancaman siber, serta belum optimalnya pemanfaatan teknologi AI. Strategi optimalisasi berbasis AI melalui integrasi Big Data Analytics, Machine Learning, sistem peringatan dini, dan dukungan pengambilan keputusan dapat memperkuat dimensi Sea Power, Economic Development, Marine Environment, dan Human Security. Penelitian ini menyimpulkan bahwa penerapan AI-Based MDA merupakan strategi penting dalam membangun sistem keamanan maritim Indonesia yang adaptif, terintegrasi, dan berkelanjutan.
Quantitative Assessment of Research Competency in Management: The Role of Artificial Intelligence Literacy and Methodological Mastery in West Java Ferdinand Hasudungan Siagian; Nefra Firdaus; Harri Dolli Hutabarat
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 4 No 5 (2026): Volume 4, Issue 5, September 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v4i5.1986

Abstract

Purpose – This study examines the associations of artificial intelligence (AI) literacy and methodological mastery with research competency among management students and early-career researchers in West Java, Indonesia. Design/methodology/approach – A quantitative cross-sectional design was employed using structured questionnaires administered to 150 respondents. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4.2.9. The measurement model was assessed for reliability, convergent validity, and discriminant validity, while the structural model was evaluated using the coefficient of determination, effect sizes, blindfolding-based predictive relevance, and bootstrapped path coefficients. Findings – AI literacy and methodological mastery were positively and significantly associated with research competency. Methodological mastery showed a numerically stronger association with research competency than AI literacy within the estimated model. Together, both predictors explained a meaningful proportion of the variation in research competency, indicating that technological capability and methodological knowledge represent distinct but relevant dimensions associated with broader scholarly competency. Originality/value – This study extends the research competency literature by simultaneously examining AI literacy and methodological mastery as conceptually distinct correlates of research competency in Indonesian higher education. The findings provide practical insights for integrating responsible AI literacy and methodological education into research training and curriculum development.
Co-Authors Ferdinand Hasudungan Siagian Hudiarto Krisno Utomo Nefra Firdaus Prakoso, Lukman Yudho Soemantri, Asep Iwa Steven Toar Sambouw