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Analysis of Passenger Satisfaction on Green Airport Blimbingsari International Service Untung Lestari Nur Wibowo Wibowo; Quirina Ariantji Patrisia Mintje; Sabam Dany Sulung; Ikhwanul Qiram
Ilomata International Journal of Management Vol. 3 No. 4 (2022): October 2022
Publisher : Yayasan Sinergi Kawula Muda

Since 2019, Blimbingsari Airport has been designated as an International Airport with a green airport concept. This airport has received the most prestigious award in The 2022 Aga Khan Award for Architecture. Several energy efficiencies and conservation program initiatives certainly have an impact on the service facilities provided. However, this program implies an increase in the number of passengers. This increase certainly requires attention to be studied further because it is related to the airport's ability to serve the needs of service users. This study was conducted to determine the service quality of Blimbingsari International Airport based on passenger perceptions. 100 respondent were randomly selected to be the research sample. This study uses 5 (five) service quality dimensions which include 7 service variables to measure airport service quality. Data collection was carried out in mid-June 2022 by distributing a Likert scale 5 questionnaire. Data analysis used the IPA and Servqual gap methods. Based on the results of data analysis, it can be seen that there are 7 (four) service variables that are important to determine the quality of airport terminal services, namely (1) the ease of passengers in obtaining information, (2) the reliability of airport facilities and equipment, (3) the coolness and comfort of the airport terminal. , and (4) a clean airport terminal room. The servqual gap shows that 5 (five) dimensions of service quality are positive. Based on these results, it can be concluded that the service quality of Blimbingsari International Airport is very satisfying for passengers.

Enhancing Driver Stress Detection through Multimodal Integration of Eye Tracking and Physiological Signals Tri Agung Widayat; Quirina Ariantji Patrisia Mintje; Sri Yanthy Yosepha
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.

Digital Transformation and Operational Performance in Indonesian Port Logistics: A Qualitative Multiple-Case Study Untung Lestari Nur Wibowo; Quirina Ariantji Patrisia Mintje
Logistica : Journal of Logistic and Transportation Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v4i1.1737

Digital transformation is a strategic priority for improving efficiency, transparency, and competitiveness in port logistics, yet empirical evidence on how digital technologies enhance operational performance across various port actors remains limited. This study examines digital technology implementation in Indonesian port logistics, identifies operational opportunities generated by digital transformation, and analyzes how these technologies improve operational performance. A qualitative multiple-case study design involved nine key stakeholders—port authorities, terminal operators, IT management, customs, shipping companies, freight forwarders, operational personnel, academia, and regulators. Data were collected through semi-structured interviews and documentary evidence, analyzed using thematic analysis. Findings show Indonesian ports have implemented an integrated digital portfolio—Port Community System, Terminal Operating System, EDI, IoT, automated gates, RFID, container tracking, digital payments, and AI-based predictive analytics—significantly enhancing real-time information exchange, cargo visibility, coordination, and data-driven decision-making. Participants reported improvements in vessel turnaround, crane productivity, container handling, customs clearance, truck turnaround, logistics lead time, and customer service. Performance gains depend not only on technology adoption but also on interoperability, standardized data governance, organizational readiness, workforce capability, cybersecurity, and stakeholder collaboration. However, variations in digital maturity, legacy systems, and institutional coordination continue to limit fully integrated smart-port ecosystems. The study concludes that digital transformation serves as a strategic enabler of operational excellence when integrated with organizational processes and collaborative governance, offering practical guidance for accelerating smart-port development in Indonesia.

Operational and Technological Determinants of On-Time Delivery Performance in Urban Freight Distribution: Evidence from Indonesian Cities Bhima Shakti Arrafat; Fardan Zeda Achmadi Yuda; Quirina Ariantji Patrisia Mintje
Logistica : Journal of Logistic and Transportation Vol. 4 No. 2 (2026): April 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v4i2.1739

Urban freight distribution has grown increasingly complex due to e-commerce growth, rising customer expectations, and traffic congestion. This study investigates operational and technological determinants of on-time delivery performance in Indonesian urban freight distribution, evaluating the relative contribution of operational, environmental, technological, and customer-related factors. A quantitative cross-sectional design used 480 delivery observations from Jakarta, Surabaya, Bandung, and Medan. On-time delivery was coded as a binary outcome, with explanatory variables including congestion index, departure delay, loading time, number of stops, distance, peak-hour operation, rainfall, route optimization, real-time tracking, and customer availability, analyzed through binary logistic regression. Results show an overall on-time delivery rate of 90.63%. Traffic congestion was the strongest constraint, significantly reducing punctuality odds with each unit increase. Route optimization and real-time tracking significantly improved on-time delivery probability, demonstrating that digital logistics technologies enhance reliability through better planning and visibility. Delivery distance showed a marginal negative effect, while departure delay, loading time, peak-hour operation, rainfall, and customer availability were not significant. Number of stops showed a positive association, interpreted as reflecting efficient route configuration rather than a direct causal benefit. The study concludes that delivery reliability depends on the interaction between traffic conditions and digital logistics capabilities, with route optimization and real-time tracking mitigating congestion's adverse effects—offering practical guidance for improving urban freight performance in developing-country contexts.

Public Transport Accessibility, Service Quality, and Commuter Satisfaction: A Comparative Qualitative Study of Indonesian Medium-Sized Cities Ahmad Mubarok; Iwan Engkus Kurniawan; Quirina Ariantji Patrisia Mintje
Logistica : Journal of Logistic and Transportation Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v4i1.1742

Public transport is essential for sustainable urban mobility, yet its effectiveness depends on both physical accessibility and service quality. This study examines how accessibility influences commuter satisfaction in Indonesian medium-sized cities, focusing on the mediating role of service quality. Using a qualitative descriptive approach with a comparative multiple-case design, semi-structured interviews were conducted with fourteen public transport users of varying ages, occupations, and travel frequencies, and analyzed through thematic coding with cross-case comparison. Findings show that accessibility is multidimensional, covering network coverage, walking distance, first- and last-mile connectivity, route integration, frequency, operating hours, affordability, information, and infrastructure for vulnerable users. Accessibility was rated higher in central areas than peripheral ones due to weaker feeder connections. Service quality—particularly reliability, punctuality, comfort, safety, and staff assistance—strongly shaped satisfaction, with first- and last-mile conditions influencing overall travel experience. Priorities differed across commuter groups, with students valuing affordability, workers valuing reliability, shift workers needing extended hours, and older adults needing accessible infrastructure. The study concludes that satisfaction results from the interaction between accessibility and service quality, not accessibility alone. It recommends improving reliability, feeder integration, real-time information, pedestrian infrastructure, and inclusive policies to strengthen public transport planning in Indonesian medium-sized cities.

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