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All Journal International Journal of Artificial Intelligence Research Sains Manajemen:Jurnal Manajemen UNSERA Jurnal Riset Bisnis dan Investasi JURNAL ILMIAH M-PROGRESS Jurnal Manajemen JURNAL BISNIS & AKUNTANSI UNSURYA Jurnal Madani Dinasti International Journal of Management Science JMB : Jurnal Manajemen dan Bisnis Jurnal STEI Ekonomi Dinasti International Journal of Digital Business Management BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Jurnal Penelitian Manajemen Terapan (Penataran) Journal of Sustainable Tourism and Entrepreneurship Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) SENADA : Semangat Nasional Dalam MengabdI Jurnal Pengabdian kepada Masyarakat Kompleksitas: Jurnal Ilmiah Manajemen, Organisasi, dan Bisnis Annals of Human Resource Management Research Reviu Akuntansi, Manajemen, dan Bisnis Journal of Accounting and Finance Management (JAFM) Jurnal Kewirausahaan, Akuntansi, dan Manajemen TRI BISNIS Jurnal Buana Pengabdian Jurnal Pelita Manajemen Sinergi International Journal of Accounting and Taxation Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat SENADA : Semangat Nasional Dalam Mengabdi Jurnal Ilmiah Manajemen Surya Pasca Scientia JURNAL MITRA MANAJEMEN Jurnal Penelitian Pendidikan Indonesia Siber Journal of Advanced Multidisciplinary Jurnal Bakti Dirgantara Greenation International Journal of Tourism and Management Greenation International Journal of Economics and Accounting Logistica : Journal of Logistic and Transportation
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Navigating the Future of Logistics: A Narrative Review of Autonomous Freight Systems Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.1068

Abstract

The adoption of autonomous vehicles in freight transport represents a transformative shift in global logistics. However, research remains fragmented regarding the balance between efficiency, sustainability, safety, and user acceptance. This narrative review synthesizes recent empirical studies to identify critical opportunities and challenges in autonomous freight systems. The findings indicate substantial efficiency and cost benefits, particularly through truck platooning and automated last-mile delivery solutions. Environmental outcomes are generally positive, though lifecycle trade-offs such as infrastructure wear and energy sources complicate sustainability claims. Safety concerns persist in mixed-traffic environments, where operational reliability and public trust remain unresolved. User acceptance is shaped by demographic and sectoral factors, with stronger receptivity in industries handling perishable or time-sensitive goods. The review highlights that adoption trajectories are contingent on systemic factors, including regulatory alignment, infrastructure readiness, and financing mechanisms. These insights underscore the need for adaptive policy frameworks, targeted training, and inclusive financing models to ensure that autonomous freight technologies enhance not only efficiency but also long-term sustainability and equity.
Enhancing Driver Stress Detection through Multimodal Integration of Eye Tracking and Physiological Signals Widayat, Tri Agung; Mintje, Quirina Ariantji Patrisia; Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1147

Abstract

Driver stress poses significant risks to traffic safety, impairing attention, decision-making, and reaction time. Traditional monitoring methods often lack sensitivity. This study proposes and validates a novel multimodal framework that integrates synchronized eye-tracking and physiological data to significantly enhance the sensitivity and real-time accuracy of driver stress detection, addressing limitations of earlier unimodal approaches. Thirty licensed drivers participated in simulated driving tasks under baseline and stress-induced conditions. Eye-tracking metrics (pupil diameter, fixation duration, blink rate) and physiological signals (heart rate, skin conductance, heart rate variability) were collected. Data were synchronized and analyzed using Linear Discriminant Analysis (LDA) and other machine learning models to classify stress conditions. Under stress, pupil dilation increased by 20%, blink rate rose by 35%, and gaze spread narrowed, indicating visual tunneling. Physiologically, heart rate increased by 17%, skin conductance by 31%, and HRV decreased by 19%. The combined multimodal model achieved 91.4% classification accuracy, outperforming unimodal approaches. These results align with previous research showing that multimodal systems provide more reliable stress detection by integrating visual and autonomic markers. The findings highlight the system’s potential for real-time applications in Driver Monitoring Systems (DMS). Multimodal integration of eye-tracking and physiological signals enhances the sensitivity and reliability of driver stress detection. This approach offers a foundation for intelligent, adaptive DMS capable of improving road safety. Future work should focus on real-world validation and ethical implementation strategies. These findings demonstrate that multimodal integration provides a more comprehensive understanding of driver stress through complementary visual and autonomic indicators. The proposed framework forms a foundation for intelligent, adaptive Driver Monitoring Systems (DMS) capable of real-time stress recognition and proactive safety intervention.
Realities and expectations of young Indonesian workers in offshore oil and gas industry Harahap, Aswin Syapii; Yosepha, Sri Yanthy
Annals of Human Resource Management Research Vol. 5 No. 2 (2025): June
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ahrmr.v5i2.2992

Abstract

Purpose: This study aims to explore the gap between work expectations and actual workplace realities from the perspective of young Indonesian workers in the offshore oil and gas industry, focusing on how such discrepancies affect job satisfaction, psychological well-being, and organizational loyalty. Research Methodology: An exploratory qualitative approach was employed, involving semi-structured in-depth interviews with 15 offshore workers aged 22–35, located in Natuna and the Java Sea. The data were analyzed using thematic analysis framework, which enabled systematic identification of recurring themes related to expectations, psychological stress, and retention. Results: Findings reveal that young workers’ expectations are shaped by media portrayals and institutional narratives that glamorize offshore work. However, the realities long shifts, isolation, and psychological strain often lead to disillusionment. Many participants experienced cognitive dissonance, reduced job satisfaction, and a strong intention to resign. The study also uncovered a psychological entrapment phenomenon, where workers remained not out of satisfaction but due to a lack of viable alternatives. Conclusions: The Expectation-Disconfirmation Theory and Psychological Contract Theory effectively explain the disconnect between expectations and job experiences. In offshore contexts, misalignment can significantly impact worker loyalty and mental health. Limitations: The study is limited in sample size (15 participants) and geographic scope (Natuna and Java Sea). It also lacks managerial or HR perspectives, restricting organizational-level analysis. Contribution: This study offers practical implications for HR management in high-risk industries, emphasizing realistic recruitment, mental preparedness, and integrated psychological support. It also contributes novel insights into the concept of psychological entrapment in early-career professionals.
Co-Authors A. Dirwan Abdullah Fathoni Ade Eka Puspitasari Adisti Oktani Pratiwi Afrianda, Rio Agrameri, Alvino Agus Suhendra Ahmad Faisal Ahmad Faisal Ahyauddin, Aa Andri Primadi, Andri Anggraeni, Noerlia Antoni, Hendro Arifin, Antoni Ludfi Aris Budianto Bambang Wijanarko Bayu Purnomo, Lucky Budi Wiratno, Budi Cahya, Johannes Ferry Cecep Bunjamin Choirum Rindah Istiqaroh Christophorus Indra Wahyu Putra Cruisietta Kaylana Setiawan Denny Mahendra Dewa Dewa Dewi Puspaningtyas Dewi Putri Dian Nur Mastuti Dini Yani Erwanto, Yussiska Alex Galuh Diah Pitaloka Harahap, Aswin Syapii Haskoro, Santoso Aryo Herni Pujiati Hilda Yuliastuti Ibrahim, Tony Intan Rianti Octora Isnanto, Samto Hadi Isyanto, H. Puji Johan Wahyudi, Johan Kampono Imam Yulianto Kamsariaty Kamsariaty Kamsariaty Kamsariaty Kamsariaty Kamsariaty Kironowati, Sabto Lily Yuntina Luqman Hakim Luqman Hakim Mintje, Quirina Ariantji Patrisia Moh Muhidin Mulyana Murdiono, Jatmiko Nadia Dwi Irmadiani Negara, M. Ryan Prawira Noerlina Anggraeni Nuraeni Nuraeni Pamcasasti, Ranthy Paryanti, Atik Budi Pohan, Adam Arifin Primadi Candra Susanto Prisatya, Mochammad Enggar Pujiati, Herni Ratih Puspitaningtias Faeni Rinaldi . Ryan Firdiansyah Suryawan Sahroni Sahroni Sahroni, Sahroni Samto Hadi Saputra, Edward Bayu Sidapung, Theresia Oktavia Siladjadja, Muljanto Siti Asmana Siti Nur Fanah Sri Iswati Sri Widodo Sri Widodo Sri Widodo Sri Widodo Subagio, Mochammad Sulhendri Sumarsid Sumarsid Suprihatin Suprihatin Susilowati, Efa Sri Suyatmi , Sri Syamsunasir Teguh Maianto Theresia Wahyuddin Latunreng Wau, Pilipus Widana, I Dewa Ketut Kerta Widayat, Tri Agung Wiliandri Wiliandri Yohanes Budi Yohanes Ferry Cahaya Yohannes Ferry Cahaya Yudi Aditia Yulianto Yulianto Yulianto, Kampono Imam Yusnaldi Yusnaldi Zulfitra Zulfitra zulfitra, Zulfitra