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All Journal Jurnal Celtic Jurnal Arbitrer International Journal of Artificial Intelligence Research Prosiding SNITP (Seminar Nasional Inovasi Teknologi Penerbangan) Airman Ethical Lingua: Journal of Language Teaching and Literature Journal of Innovation in Educational and Cultural Research IJORER : International Journal of Recent Educational Research Skyhawk: Jurnal Aviasi Indonesia Indonesian Journal Of Educational Research and Review Al-Irsyad: Journal of Education Science
Rossydi, Ahmad
Politeknik Penerbangan Makassar
Aerospace Engineering Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Transportation Other

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Development of a Web-Based Aviation English Proficiency Test: Integrating Adaptive Algorithms and Dynamic Assessment for Enhanced Evaluation in Aviation Education Rosyid, Harunur; Rochmawati, Laila; Sylvia, Tiara; Rossydi, Ahmad; Bhakti, Henny Dwi
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1620

Abstract

Aviation English proficiency is pivotal for aviation school students to ensure secure communication in global airspace per ICAO guidelines. Conventional methods are rigid, leading to inaccurate and time-consuming evaluations that hinder training efficacy. This research develops a web-based adaptive Aviation English proficiency test integrating adaptive algorithms like Item Response Theory and dynamic assessment to enhance aviation education outcomes. Using a mixed-methods framework with the ADDIE model and quantitative experimental approach, an explanatory sequential design with non-equivalent control group was employed, involving needs assessment, prototype development, validation, and implementation. The sample included 141 aviation school students. Data from pre/post-tests were analyzed via SPSS. The findings showed that i) the web-based test is valid and feasible as an assessment tool with a validation score of 89.5%; ii) student proficiency levels are significantly improved before and after using the adaptive system (paired t-test: mean rise from 72.6 to 91.4, t=-14.28, p=0.000 <0.05); iii) dynamic assessment positively impacts learning outcomes following implementation (32% uplift, ?=0.61, p<0.01); and iv) there is a significant difference between experimental and control groups in evaluation efficiency (independent t-test: 25% higher for experimental, t=10.52, p=0.000 <0.05). These affirm the test's efficacy, recommending broader adoption for refined aviation training.
Artificial Intelligence in Aviation Vocational Training: Mapping Legal Frameworks and Institutional Readiness in Indonesia Octavianie, Adhitya; Rossydi, Ahmad; Raharjo, Muh. Agung; Idyaningsih, Nining; Sukarman, Sukarman
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1635

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in higher and vocational education, yet its rapid adoption often outpaces existing legal and institutional frameworks. This study investigates how Indonesia’s regulatory landscape supports the integration of AI in teaching and learning at Politeknik Penerbangan Makassar (Poltekbang Makassar), and identifies the legal, ethical, and governance challenges shaping responsible innovation. Employing a qualitative descriptive approach, the research combines document analysis of key national policies (such as the National Education System Law 2003, Presidential Regulation No. 95/2018, and the National AI Strategy 2020–2045) with semi-structured interviews involving five lecturers and two academic policymakers. Data were analyzed thematically. The results reveal that while Indonesia’s legal foundations implicitly support AI adoption through broader digital transformation policies, significant regulatory gaps persist, particularly concerning algorithmic transparency, accountability, and data privacy. Institutional policies at Poltekbang Makassar demonstrate readiness for technological innovation but lack comprehensive AI governance mechanisms. The study proposes a multi-level regulatory model encompassing national policy formulation, sectoral alignment within vocational standards, and internal institutional governance frameworks to ensure accountability, fairness, and compliance. These findings contribute to the development of an Institutional AI Governance Framework based on principles of accountability, transparency, and compliance with the Personal Data Protection Law, offering a practical roadmap for policymakers and educational leaders in Indonesia’s vocational sector.Keywords: Artificial Intelligence (AI), AI Governance, Vocational Education, Poltekbang Makassar, Algorithmic Accountability
Co-Authors Agung Raharjo, Muhammad Akhyar, Rajul Alwazir Abdusshomad As'ary, Muawwal Al Bellyndra Pudja Benny Kurnianto Burhanuddin, Fachrurrazy Entoh Tohani Erna Wahyu P., Agnes Fadhilah Nugrah, Andi Harianto, Bambang Bagus Harunur Rosyid Haryanto Atmowardoyo Henny Dwi Bhakti Idyaningsih, Nining Ima Widiyanah Ita Sarmita Samad, Ita Sarmita Kurnianto, Benny Louis Latif, Hendri Masita, Maya Maya Masita Maya Masita Meirezza Alfareni Michellia Mulorrosrianti Moch. Rifai Muliati Muliati Muliati Muliati Mulorrosrianti, Michelle Mustahrim Atbar, Mustahrim Nur, Mulyadi Octavianie, Adhitya Oktavia, Wahyuni Purbo Wartoyo, Bayu Raharjo, Muh. Agung Rahmat Dwi Sanjaya Rochmawati, Laila Sari Agung Sucahyo SRY WAHYUNI, SRY St.Asriati AM SUGIYANTO Suhanto Sukardi Weda Sukarman Sukarman Syamsuriani, Syamsuriani Syarifuddin Dollah Sylvia, Tiara Tamra Tamra Usman, Misnawati Willy Seran, Rizhard Yuyun Irmayanti, Andi Yuyun Suprapto