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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.
Prioritizing Franchise Expansion with AHP: Strategic Evaluation of Special Product Placement in Minimarkets Miranda, Ivanca Earltina; Hidayatno, Akhmad
Jurnal Ilmiah Manajemen dan Bisnis Vol 11, No 2 (2025): Jurnal Ilmiah Manajemen dan Bisnis
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jimb.v11i2.33911

Abstract

This study examines the strategic decision-making process involved in expanding franchise minimarkets by pinpointing optimal locations for launching special product offerings. Utilizing the Analytical Hierarchy Process (AHP), the research assesses eight alternative location types to establish priority rankings based on various decision criteria. Data were gathered through structured questionnaires administered to expert respondents, and pairwise comparisons were performed to evaluate the relative importance of both criteria and alternatives. The analysis identifies rest areas on toll roads as the most advantageous locations for expansion, followed by vertical residential complexes and office buildings. Among the criteria, potential customer volume and daily traffic flow proved to be the most influential factors in the decision-making process. Consistency ratio analysis verified the reliability of the AHP model. These findings offer actionable insights for franchise operators, highlighting the importance of targeting high-traffic locations to improve sales performance and operational efficiency. The study concludes that prioritizing rest area locations can significantly facilitate strategic growth and the effective placement of special products within existing minimarkets.
Conceptual Model of Accelerating the Adoption of Small and Medium Industries in Implementing Industry 4.0 with the Lean Manufacturing Approach Muizzullah, Risma Fattahatin; Komarudin, K; Hidayatno, Akhmad
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2019: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.1423

Abstract

Purpose: Making a conceptual model that can provide the policy strategy in accelerating the adoption of industry 4.0 in Small and Medium Industries (SMI) using lean manufacturing approach.Methodology: Using the conceptualization process in system dynamics methodology to get causal relation among the factors which can affect the implementation of industry 4.0 in Small and Medium Industries. The lean management approach was used to get these factors and compile their causal relation with readiness of industry 4.0 as a conceptual model.Result: A conceptual model that shows important variables and its relationship structure that could be used in better understanding the adoption proceeses of Industry 4.0 technology. Several interconnection loops are identified in the conceptual model that can be the basis for better policy design by focusing on adjusting one or more variables in the loops, in the manner of understand the relationships that occur in the conceptual model, the government can predict the outcome of the policy to be implemented. Applications/Originality/Value: Providing a better understanding of adoption process for better policymaking by the Indonesian government, particularly the Ministry of Industry, to encourage the readiness of industry 4.0 implementation in Small and Medium Industries.
Applying Systems Thinking Concepts for the Analysis of Digital Excise Stamp Transformation in Indonesia Afifah Nur Ismawati; Akhmad Hidayatno
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.53289

Abstract

The increasing complexity of illicit trade and excise violations has become a major challenge for governments in protecting state revenue and ensuring product legality. In Indonesia, excise violations involving tobacco and alcoholic products have continued to increase, with cases rising from 12,045 in 2021 to 21,915 in 2024, resulting in significant potential revenue losses. Digital excise stamp transformation is considered a strategic solution to improve traceability, transparency, compliance, and monitoring effectiveness. However, its implementation involves complex interactions among technological adoption, system security, industry readiness, institutional capacity, and enforcement mechanisms. This study aims to analyze the dynamics of digital excise stamp transformation in Indonesia and identify strategic intervention points for sustainable implementation using a systems thinking approach. The research employed a qualitative systems thinking method consisting of a Systematic Literature Review (SLR), conceptual model development, causal loop diagram (CLD) construction, model verification and validation through Focus Group Discussions (FGDs), and system archetype analysis. The results revealed three main feedback structures: two reinforcing loops related to user experience investment and security investment, and one balancing loop associated with enforcement effectiveness and institutional operational burden. The analysis identified several systemic challenges, including limits to growth, fixes that fail, and growth underinvestment archetypes. The study concludes that successful digital excise stamp implementation requires integrated policies focusing on technology adoption, security enhancement, institutional capacity development, and risk-based enforcement strategies to ensure long-term sustainability and optimize government revenue protection.
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 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