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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknologi Sistem Informasi dan Aplikasi
Bambang Suharjo
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Computer Science & IT

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Pendekatan Fuzzy Kriging pada Analisis Data Spasial Bambang Suharjo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Paper ini akan menunjukkan perluasan aplikasi logika Fuzzy pada data spasial pada tingkat pencemaranudara di Surabaya dengan melakukan modifikasi metoda kriging (Cressie, 1993). Data spasial dapat dipandangsebagai himpunan fuzzy dengan batasan yang tidak terbatas dengan tegas yang merefleksikan karakter asli.Himpunan Fuzzy digunakan untuk merepresentasikan data yang kurang pasti serta logika fuzzy untukmerepresentasikan alasan yang kurang eksak. Sehingga dapat diperoleh hasil analisis data spasial yang baikwalaupun ada data-data yang kabur.Kata Kunci: Fuzzy Kriging, Data Spasial
Tinjauan Literatur Sistematis dan Analisis Bibliometrik tentang Isu Etika dan Tata Kelola Kecerdasan Buatan dalam Aplikasi Militer dan Peperangan Bambang Suharjo; Sunardi, Dendi; Jan Everhard
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 9 No. 1 (2026): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v9i1.58508

Abstract

The rapid advancement of Artificial Intelligence (AI) in military applications has raised a range of ethical and governance concerns, particularly regarding the use of Autonomous Weapon Systems (AWS) in making lethal decisions without direct human involvement. While these developments offer strategic advantages, they also introduce significant challenges in ensuring accountability, transparency, and compliance with international humanitarian law. This study aims to systematically examine and map the knowledge structure and global research trends related to ethical and governance issues of AI in the military domain. The research adopts a Systematic Literature Review (SLR) approach based on the PRISMA protocol, combined with bibliometric analysis of 469 articles published between 2020 and 2025. The analysis is conducted using VOSviewer to identify thematic clusters, relationships among research topics, and the overall density of scholarly discourse. The findings reveal seven major thematic clusters, including ethical foundations and human-centric approaches, operational systems and decision-making, robotics and autonomous systems, military applications and strategy, governance and regulatory frameworks, ethical principles and accountability, and technical foundations based on machine learning. Network visualization indicates that ethical issues are closely interconnected with governance as the central focus of the discourse, while density analysis shows that the terms “artificial intelligence,” “ethics,” and “application” dominate the research landscape. The study also highlights a gap between normative ethical frameworks and practical implementation in the development and deployment of AI in military contexts. Therefore, stronger governance frameworks are required to ensure accountability and compliance with international regulations. This research contributes by mapping current research directions and identifying future research opportunities, particularly in developing more adaptive and context-aware AI governance approaches.
Co-Authors Ruwirohi, Jan Everhard Sunardi, Dendi