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The Role Of Counselors In Enhancing The Psychosocial Adjustment Of Cadets During Flight Training Process Islam, Fajar; Mintje, Quirina Ariantji Patrisia; Prasojo, Genny Luhung; Efendi
Sinergi International Journal of Psychology Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/psychology.v1i2.85

The flight training process at APIB is not an easy task. Cadets will be exposed to situations that test their physical, mental, and psychosocial limits. Good psychosocial adjustment enables cadets to cope with the pressure and stress that arise, maintain emotional balance, boost motivation, and build positive interpersonal relationships with instructors and fellow cadets. However, at API Banyuwangi, there is a lack of counselors available to provide psychological support and emotional guidance to the cadets. This research aims to investigate the importance of counselor presence in enhancing the psychosocial adjustment of cadets at API Banyuwangi during the flight training process. This research used a quantitative approach with data collection through questionnaires administered to pilot cadets at the Banyuwangi Flight Academy. The results of the study indicate that the presence of counselors at API Banyuwangi has a significant impact on the psychosocial adjustment of cadets. Counselors serve as empathetic listeners, providing emotional support, practical advice, and career guidance that help cadets overcome the psychological pressures and challenges of intensive flight training. A strong positive correlation between the role of counselors and the psychosocial adjustment of cadets is revealed through linear regression analysis, marked by high t-statistic values and very low levels of significance (p < 0.001).

Evaluating Smart Traffic Light Systems for Urban Accident Reduction: A Case Study from Manado, Indonesia Mintje, Quirina Ariantji Patrisia; Nasihien, Ronny Durrotun; Saidah, Deslida
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.v3i1.693

Introduction & Objective: Traffic congestion and the high rate of vehicular accidents remain major challenges in developing cities such as Manado, Indonesia. The rapid increase in the number of vehicles, unmatched by adequate infrastructure, has resulted in longer waiting times at intersections, higher levels of air pollution, and an elevated risk of accidents. With technological advancements, smart traffic light systems have emerged as innovative solutions in many cities. However, their effectiveness in the context of developing cities like Manado still requires further investigation. Therefore, this study aims to evaluate the effectiveness of smart traffic light systems in improving traffic flow, reducing emissions, and decreasing the number of accidents in Manado City. Methodology: A mixed methods approach was employed, combining retrospective traffic accident data from hospitals and police records with simulation models embedded with IoT and AI technologies. The evaluation focused on key performance indicators, including waiting time, travel time, emissions, and accident probability. Key Results & Discussion: Simulation outcomes revealed reductions of up to 40% in waiting times, 25% in travel times, and 20% in emissions. Retrospective data confirmed accident clusters in high-risk intersections, particularly along Jalan A. A. Maramis. Comparative analysis with international benchmarks further demonstrated that the projected benefits in Manado are consistent with results achieved in cities that have adopted similar technologies. Nevertheless, successful implementation depends on supportive infrastructure, stakeholder collaboration, and adaptive policymaking. Conclusion & Implications: Smart traffic light systems hold significant potential as a strategic intervention to enhance road safety and traffic efficiency in Manado. The integration of localized accident data with predictive simulation models represents the main scientific contribution of this study, offering a replicable framework for other secondary cities in Indonesia. The findings also provide actionable insights for local governments to design smart mobility policies aligned with global smart city agendas.

Coordination and Digitalization Gaps in Rural Agribusiness: Case Studies from Indonesia's MSME Sector Mintje, Quirina Ariantji Patrisia; Zulkarnain, Ahnis; Marjan, Yakuttinah; AN, Charles
Logistica : Journal of Logistic and Transportation Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i2.694

Micro, Small, and Medium Enterprises (MSMEs) form the backbone of Indonesia’s agricultural economy, yet they face persistent inefficiencies in supply chain management (SCM), particularly in rural and coastal areas. This study examines the coordination and digitalization challenges that hinder SCM performance among agricultural MSMEs, using three case studies: Sidrap rice distribution, Malk Chips (processed taro), and Bunga Seroja (seaweed production). The SCOR (Supply Chain Operations Reference) model is employed to assess performance across five key processes: Plan, Source, Make, Deliver, and Return. A qualitative, case study approach was used, relying on secondary data from journal articles, government reports, and institutional studies. Comparative analysis was conducted to evaluate digital readiness, stakeholder coordination, and SCM performance metrics across the cases. Findings show that while Malk Chips benefits from partial digital adoption and efficient logistics practices, Sidrap and Bunga Seroja continue to rely on traditional models with limited integration of digital tools. Common issues include fragmented coordination, poor infrastructure, low digital literacy, and inadequate stakeholder engagement. These factors contribute to suboptimal performance in the Deliver, Make, and Return segments of the SCOR model. The study concludes that successful SCM digitalization in agricultural MSMEs requires localized, context sensitive interventions. These include mobile based communication platforms, peer learning models, and tailored policy frameworks that integrate the lived realities of rural enterprises. Such strategies can foster efficiency, transparency, and competitiveness in Indonesia’s agribusiness supply chains.

Integrated and Sustainable Transit Development: A Case Study of Terminal Isimu and Djalaluddin Airport in Gorontalo Province Rahmawati, Aisyah; Nasrullah, Muhammad Nur Cahyo Hidayat; Mintje, Quirina Ariantji Patrisia
Logistica : Journal of Logistic and Transportation Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i2.698

This study examines the integration potential between Terminal Isimu and Djalaluddin Airport in Gorontalo Province, Indonesia, using the Green Transport Sustainability Model (GTSM). The research evaluates existing conditions of intermodal connectivity, identifies key barriers, and develops alternative development scenarios. A qualitative descriptive approach was applied, relying on secondary institutional data and GTSM indicators such as connectivity, modal share, emissions, and stakeholder alignment. The findings indicate that Terminal Isimu currently operates as an informal hub, while Djalaluddin Airport serves growing passenger and cargo traffic with limited coordination. Three scenarios are outlined, ranging from basic shuttle linkage to a full Transit Oriented Development (TOD) with electric vehicles and intelligent transport systems. The study contributes by contextualizing GTSM in a secondary city setting and highlighting practical pathways for phased integration. However, the exclusive use of secondary data and the absence of field validation limit the scope of findings. Future research should incorporate surveys or stakeholder engagement to strengthen empirical evidence and ensure policy relevance. The study concludes that Gorontalo holds significant promise as a model for sustainable transit integration in Indonesia's secondary urban areas. Through strategic investments and stakeholder collaboration, the region can enhance accessibility, reduce emissions, and support inclusive economic growth.

The Future of Last-Mile Logistics: Pathways Toward Sustainable E-Commerce Budiyanto, Albert; Faisal, Ahmad; Putra, Dimas Endrawan; Mintje, Quirina Ariantji Patrisia
Logistica : Journal of Logistic and Transportation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i2.1053

The exponential growth of e-commerce has intensified challenges in last-mile delivery logistics, making sustainability a critical priority for researchers, policymakers, and industry practitioners. This study synthesizes existing literature on sustainable practices in last-mile logistics, focusing on economic, environmental, social, and technological dimensions. A narrative review approach was employed, drawing from academic databases such as Scopus, Web of Science, and Google Scholar. Literature was selected using targeted keywords and inclusion criteria to ensure comprehensive coverage of practices ranging from cost efficiency strategies to technological innovations. The results reveal that sustainable logistics practices, such as electric vehicle adoption, route optimization, and crowd logistics, can reduce operational costs, improve customer satisfaction, and decrease carbon emissions. However, disparities between developed and developing countries highlight systemic challenges, including inadequate infrastructure, limited regulatory support, and varying consumer preferences. Social outcomes, including the welfare of couriers and improvements in urban air quality, emphasize the broader societal benefits of sustainability, though labor protections remain underexplored in the literature. Technological advances, particularly GIS-based systems and autonomous vehicles, offer transformative potential but require supportive policy frameworks for effective implementation. The discussion highlights the importance of systemic factors—policy, regulation, and infrastructure—in shaping adoption. This review concludes that sustainable last-mile logistics is essential for aligning economic growth with ecological responsibility and social equity, recommending targeted policies, cross-sector collaboration, and longitudinal research to address current limitations.

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

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.

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

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.

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