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This Author published in this journals
All Journal International Journal of Artificial Intelligence Research Airman
Nining Idyaningsih
Politeknik Penerbangan Makassar
Computer Science & IT Education Electrical & Electronics Engineering Engineering

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Pengukuran Tingkat Kepuasan Pelayanan Pusat Penelitian dan Pengabdian Kepada Masyarakat Fitri Masito; Yeti Komalasari; Nining Idyaningsih; Syukri Hamzah; Hadi Winarto
Airman: Jurnal Teknik dan Keselamatan Transportasi Vol 5 No 2 (2022): Airman: Jurnal Teknik dan Keselamatan Transportasi
Publisher : Politeknik Penerbangan Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46509/ajtk.v5i2.288

Abstract

This research was conducted to determine the level of satisfaction of research center services and community service. In the current era of openness, the Community Satisfaction Survey helps with two-way communication between service users. Through SKM, service users can directly convey expectations and inputs aimed at improving the optimal quality of service. The type of research used in this study is a quantitative type using a likert scale. This study aims to measure the level of satisfaction of research center services and community service through research questions on google forms on lecturers and tested for validity and reliability in their research instruments. The implementation of lecturer services by the Palembang Aviation Polytechnic, especially PusPPM services in 2020 generally reflects a good level of quality, with an IKM value of 3.35 or after being converted to 83.75 for research and for PKM the IKM value is 3.17 or after being converted to 79.25. The IKM value for SKM research is at an interval of 81.26 – 100 so it can be concluded that the quality of service is Very Good (A). While the IKM value for SKM PKM is at an interval of 62.51 - 81.25 so that it can be concluded that the quality of service is Good (B).
Artificial Intelligence in Aviation Vocational Training: Mapping Legal Frameworks and Institutional Readiness in Indonesia Adhitya Octavianie; Ahmad Rossydi; Muh. Agung Raharjo; Nining Idyaningsih; 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 Fitri Masito Hadi Winarto Muh. Agung Raharjo Octavianie, Adhitya Rossydi, Ahmad Sukarman Sukarman Syukri Hamzah Yeti Komalasari