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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 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 Management Research Studies Journal 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 Jurnal Inovatif Mahasiswa Manajemen SEMANIS
Yosepha, Sri Yanthy
Universitas Dirgantara Marsekal Suryadarma
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Journal : Logistica : Journal of Logistic and Transportation

 1 
Humanitarian Logistics in Post-Disaster Response: Lessons from the 2018 Earthquake and Tsunami in Palu and Donggala Primadi, Andri; Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.678

Abstract

The increasing frequency of natural disasters highlights the importance of efficient humanitarian logistics in post-disaster response. This study examines the logistics challenges and adaptive responses during the 2018 earthquake and tsunami in Palu and Donggala, Indonesia. Interviews with 10 key stakeholders including national agencies, NGOs, military units, and local volunteers were analyzed using thematic analysis. Four themes emerged: infrastructure vulnerabilities, adaptive logistics strategies, multi-actor coordination, and system improvement. Findings show that damaged infrastructure and inconsistent survivor data significantly delayed aid distribution. However, adaptive responses such as drone mapping, logistics hubs, and helicopter drops mitigated accessibility barriers. Coordination improved in later phases through joint command posts and national logistics platforms. The study emphasizes the need for integrated logistics information systems and community-based preparedness to strengthen supply chain resilience. Limitations include the small sample size and localized scope, suggesting that future research should involve broader comparative studies across different disaster contexts. This research contributes to humanitarian logistics literature by providing grounded insights into the interplay of systemic risk, adaptive response, and governance in a complex disaster setting.
Barriers and Opportunities in Circular Logistics: A Global Comparative Narrative Review Widayat, Tri Agung; Mintje, Quirina Ariantji Patrisia; Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.1055

Abstract

This study reviews and synthesizes current knowledge on eco-efficient transport models within the frameworks of green logistics and the circular economy. The aim is to evaluate how technological, regulatory, and economic factors influence adoption and implementation. Literature was systematically gathered from major databases such as Scopus, Web of Science, and Google Scholar, using targeted keywords and Boolean search strategies. Inclusion criteria prioritized peer-reviewed articles published between 2018 and 2025 that addressed sustainable logistics, circular supply chains, and digital innovations. The review identified four major themes: drivers, barriers, case studies, and regional comparisons. Findings reveal that digital technologies, including artificial intelligence, blockchain, and the Internet of Things, enhance transparency, traceability, and efficiency. Regulatory frameworks, particularly in Europe, accelerate adoption, while economic incentives strengthen competitiveness. However, barriers persist, especially high initial costs, infrastructural deficits, and weak enforcement in developing economies. Case studies confirm measurable benefits, such as emission reductions and cost savings, while comparative analyses show significant regional disparities. The discussion emphasizes the importance of systemic alignment across policy, markets, and organizational culture to overcome these challenges. Future research is recommended to expand empirical evidence, develop standardized evaluation tools, and examine underrepresented regions. Overall, the review highlights the urgent need for integrated strategies that combine technology, regulation, and collaboration to advance sustainable logistics.
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.
Co-Authors A. Dirwan Abdullah Fathoni Ade Eka Puspitasari Aditya Pratama Afrianda, Rio Agrameri, Alvino Agus Suhendra Ahmad Faisal Ahmad Faisal Ahyauddin, Aa Andri Primadi, Andri Andri, Fadli Anggraeni, Noerlia Anggreani , Noeorlina Antoni, Hendro Aprillia Darmansah Arifin, Antoni Ludfi Aris Budianto, Aris Bambang Wijanarko Bayu Purnomo, Lucky Budi Wiratno, Budi Budi, Yohanes Cahya, Johannes Ferry Cecep Bunjamin Choirum Rindah Istiqaroh Danang Febrianto Darno Denny Mahendra Dewa Dewa Dewi Puspaningtyas Dewi Putri Diah Pitaloka, Galuh Dian Nur Mastuti Dian Nurmastuti Dini Yani Doni Wildan Hidayat Eddy Setyanto Erwanto, Yussiska Alex Fatma Fitriana Hanifah Dwi Rahayu Harahap, Aswin Syapii Hardiyanto, Bagus Haskoro, Santoso Aryo Hilda Yuliastuti Ibrahim, Tony Inezzia Elri Santi Intan Rianti Octora Isnanto, Samto Hadi Istiqaroh, Choirum Rindah Isyanto, H. Puji Johan Wahyudi, Johan Kampono Imam Yulianto Kamsariaty Kamsariaty 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 Nadia Dwi Irmadiani Negara, M. Ryan Prawira Noerlina Anggraeni Nuraeni Nuraeni Nuriska Sukma Anjani Putri Nurmaliza, Nurmaliza Oktani Pratiwi, Adisti Pamcasasti, Ranthy Paryanti, Atik Budi Pohan, Adam Arifin Primadi Candra Susanto Prisatya, Mochammad Enggar Pujiati, Herni Purnomo, Lucky Bayu Putra, Christophorus Indra Wahyu Putri Nofzil, Friska Ratih Puspitaningtias Faeni Ratna Yunita Dewi Rinaldi . Ryan Firdiansyah Suryawan Sahroni Sahroni Sahroni Sahroni Sahroni, Sahroni Samto Hadi Saputra, Edward Bayu Setiawan, Cruisietta Kaylana Sidapung, Theresia Oktavia Siladjadja, Muljanto Siti Aminah Siti Asmana Sri Iswati Sri Ria Lestari Sri Widodo Sri Widodo Sri Widodo Sri Widodo Subagio, Mochammad Sulhendri Sumarsid, Sumarsid Suprihatin Suprihatin suryawan, ryan firdiansyah Susilowati, Efa Sri Suyatmi , Sri Syamsunasir Tamara Izzani Tateng Sukendar Teguh Maianto Theresia Wahyuddin Latunreng Wau, Pilipus Widana, I Dewa Ketut Kerta Widayat, Tri Agung Wiliandri Wiliandri Yani Rahman Yuliansyah Yohanes Ferry Cahaya Yohannes Ferry Cahaya Yudi Aditia Yulianto Yulianto Yulianto, Kampono Imam Yuliastuti, Hilda Zulfitra Zulfitra Zulfitra Zulfitra zulfitra, Zulfitra