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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Pengembangan Energi Nuklir Proceeding International Conference on Information Technology and Business Jurnal Ilmiah Manajemen dan Bisnis (JIMB) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri InComTech: Jurnal Telekomunikasi dan Komputer Communications in Science and Technology Indonesian Journal of Life Cycle Assessment and Sustainability Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Jurnal Penelitian Transportasi Laut Makara Journal of Technology Proceeding ISETH (International Summit on Science, Technology, and Humanity) Eduvest - Journal of Universal Studies
Akhmad Hidayatno
Chemical Engineering Department, Faculty Of Engineering, Universitas Indonesia, Depok 16424, Indonesia
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Social Sciences Transportation Other

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Aircraft Acquisition Post-Pandemic: Human vs. AI Perspectives using Multi-Criteria Decision Methods Prasetya, Rizki Akbar; Hidayatno, Akhmad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.2955

Abstract

In the post-pandemic era, Indonesia’s commercial airlines are under increasing pressure to expand their fleets in response to a sharp rebound in passenger demand. While traditional aircraft acquisition decisions have relied heavily on expert judgment, recent advancements in artificial intelligence (AI) and decision support systems have introduced new possibilities for enhancing strategic evaluations. This study contributes to the growing body of research on AI-assisted decision-making by comparing human expert assessments with AI-generated recommendations in selecting new aircraft. Using a hybrid multi-criteria decision-making (MCDM) framework that integrates the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we assess eight aircraft models across six key criteria: aircraft price, seating capacity, maximum take-off weight (MTOW), cargo capacity, range, and cost per available seat mile (CASM). Our findings reveal subtle differences in how humans and AI assign weights to each criterion. However, a Mann-Whitney U test (p = 0.689) confirms that these differences are not statistically significant. Notably, both approaches converge on the same optimal choice—the A321neo—highlighting the potential of AI to augment, rather than replace, human decision-making in complex procurement scenarios.
Co-Authors Achmad Yusaq Faiz Fadin ADE SUPRIATNA Afifah Nur Ismawati Andri D. Setiawan Armand Omar Moeis Arry Rahmawan Destyanto Aziiz Sutrisno, Aziiz Bahy Helmi Hartoyo Putra Boy Nurtjahyo Carissa Carissa Carissa Carissa, Carissa Darajat, Moch Yandra Diena Novitasari Erlinda Muslim Gede Arya Satya Dharma, Gede Arya Satya Guo, Sonny Irvanu Rahman, Irvanu Isti Surjandari K Komarudin, K Komarudin Komarudin Komarudin, Komarudin Lindi Anggraini Lindi Anggraini, Lindi Luh Putu Ratna Sundari Miranda, Ivanca Earltina Muizzullah, Risma Fattahatin Nandyka Yogamaya Nur Faqih Wirawan Nuryanti Nuryanti Prasetya, Rizki Akbar Ramadhianto Agung Wibowo, Ramadhianto Agung Ricki Muliadi, Ricki Sabam Johannes Shara Marcheline Sonny Guo Suparman Suparman Teuku Yuri M. Zagloel Teuku Zagloel Teuku Zagloel, Teuku Widodo Purwanto Widodo Purwanto Widodo Wahyu Purwanto Wulan Maulidiah, Wulan Zulkarnain Zulkarnain