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Robbi Rahim
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whoosh@mediadigitalpublikasi.com
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JL. Kenari 18 No. 421 Desa/Kelurahan. Kenangan, Kec. Percut Sei Tuan, Kab. Deli Serdang, Kab. Deli Serdang, Provinsi Sumatera Utara, 20226, Indonesia
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INDONESIA
Journal of Transportation and Logistic
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 31248632     DOI : https://doi.org/10.58905/whoosh
Core Subject :
Whoosh: Journal of Transportation and Logistic is an international, peer-reviewed academic journal dedicated to advancing knowledge, theory, and practice in the fields of transportation, logistics, and supply chain management. The journal serves as a platform for scholars, practitioners, policymakers, and industry experts to publish high-quality research that addresses emerging challenges, technological innovations, and strategic developments across global transportation and logistics sectors.Our scope includes, but is not limited to, the following areas: freight and passenger mobility; logistics systems; supply chain integration; warehousing; distribution networks; and smart mobility solutions. Special emphasis is placed on contemporary issues such as digital transformation, Internet of Things (IoT) applications, intelligent transportation systems (ITS), green logistics, sustainable transport policy, risk management, and operational optimization.
Arjuna Subject : -
Articles 8 Documents
 1 
Service Quality and Brand Image Impact on Consumer Satisfaction on Ticket Purchasing in the KAI Access Application Francis Tantri; Marlina Iryatie; Intan Permata Sari; A Afilah
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 1 (2026): February 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i1.555

Abstract

Developments in technology have grown more advanced. Presently, sales have been conducted not only through conventional or offline marketing but also through online marketing systems. Therefore, competition in the transportation service business sector has become more intense, which requires companies to maintain their quality to build a good reputation in order to compete in this business sector. The purpose of this research was to examine the impact of service quality and brand image partially and simultaneously on KAI Access consumer satisfaction. Descriptive quantitative methods were used in this research. This research findings show that, 1) service quality has a partial positive impact on KAI Access’ consumer satisfaction, 2) brand image has a partial positive impact on KAI Access’ consumer satisfaction, and 3) service quality and brand image simultaneously impact KAI Access’ consumer satisfaction.
The Influence of Delivery Timeliness, Perceived Packaging Price, and Packaging Quality on Customer Satisfaction: A Case Study of J&T Express, East Jakarta Branch 2024 Erwin R. Manurung; Azmieti Kurnia Sinta; Atika Liona Kurnia; Amalia Putri Dinova
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 1 (2026): February 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i1.556

Abstract

J&T Express is one of the courier companies in Indonesia that has the desire to continuously improve the quality of its services. The problem that often occurs at the East Jakarta branch of JNT Express is that the package does not arrive (kompas.id, listed June 22, 2024). This study aims to determine the effects of Delivery Timeliness, Perceived Packaging Price, and Packaging Quality on Customer Satisfaction at PT J&T Express, East Jakarta branch. The population in this study were 50,000 consumers of J&T East Jakarta branch with a sample of 50 consumers based on the slovin formula. This study uses primary data with data collection methods through questionnaires distributed to 50 respondents. This research approach uses quantitative with data analysis techniques using multiple linear regression analysis and using the SPSS version 25.0 program.
The Impact of Worker Satisfaction and Work Equipment on Service Performance Handling of Ship Waste at Port Tanjung Priok Port Radelas Nur Wahzzaituni; Ade Rizki Andreas; Yosi Pahala
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 1 (2026): February 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i1.557

Abstract

This study aims to determine the relationship between worker satisfaction and work equipment to service performance in the context of handling ship waste at Tanjung Priok Port. By examining the impact of these factors, this study aims to identify strategies to improve operational efficiency and overall service quality. Data was collected through surveys and interviews with workers and waste treatment management at the port. These findings show a strong impact when worker satisfaction and equipment are tested against service performance, with satisfied employees and adequate equipment showing higher levels of commitment and productivity. As well as the importance of well-maintained and appropriate work equipment in supporting efficient operations and reducing downtime. Based on these results, recommendations were given to increase worker satisfaction and optimize work equipment to improve the performance of ship waste handling services at Tanjung Priok Port as a whole.
Analyzing the Impact of Airport Train Accessibility and Self-Service Check-In System at Soekarno-Hatta International Airport Fasyah Maulana Halim; Jonathan Tri Kuncoro; Indra Yuzal; Jana Sandra
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 1 (2026): February 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i1.558

Abstract

Soekarno-Hatta International Airport plays a significant role in supporting the tourism industry and national connectivity. Beyond aircraft, the Airport Railway also serves as a critical facilitator of passenger mobility. This research aims to assess passenger satisfaction concerning Railink services and airport facilities, such as self-service check-in (SSCI). The primary objective of this study is to measure the accessibility of the Airport Train and the utilization of SSCI, as well as their impact on customer satisfaction. This research adopts a quantitative approach, utilizing questionnaires collected from 100 respondents from Soekarno-Hatta Airport facility users. The data collected have been subjected to analysis employing the SPSS method, using a multiple linear regression model to examine the influence of the aforementioned variables on customer satisfaction. the result of airport train accesibility (X1) and self check-in facilities (X2) positively impact 63% of the observed variability in user satisfaction.
Planning For The Terminal Cargo Area Requirements at Komodo International Airport Labuan Bajo G Guritno; Wahyudono; Moh. Azhar; Gumay NizarSyach; Yose Rizal Fasya
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 1 (2026): February 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i1.559

Abstract

After the COVID-19 pandemic, cargo growth at Komodo Labuan Bajo International Airport shows a significant pattern of increase in cargo growth rates compared to before the COVID-19 pandemic. The increasing demand for cargo services certainly has an impact on the ability of Komodo Labuan Bajo International Airport to provide cargo services to the maximum extent possible. To overcome the pattern of cargo growth, which is expected to continue to increase, it is necessary to build a special terminal for cargo handling. The planning of cargo terminal development is carried out by considering the calculation and processing of data from 3 (three) dependent variables, namely population growth of West Manggarai Regency (X1), aircraft movements at Komodo International Airport (X2), and GRDP per capita of West Manggarai Regency (X3), and 1 (one) independent variable, namely cargo growth at Komodo International Airport (Y). The selected data will be processed with multiple linear regression, which then gives a coefficient value of 26.28490158 (X1), -112.2805486 (X2), 0.754461199 (X3), and a constant value of -10529364 (Y). the results of the constant and coefficient values will be processed to then produce cargo growth forecasts in the plan years. Projections on the amount of cargo growth in the plan years are determined in 2025 (short-term) with an estimated cargo size of 4,312,645 kg and the need for a cargo terminal area is 3240 m2, for 2035 (mid-term) with an estimated cargo size of 6,813,018 kg and the need for a cargo terminal area is 3620 m2, and for 2045 (long-term) with an estimated cargo size of 9,313,391 kg and for a cargo terminal area requirement of 3895 m2.
Decarbonizing Motorcycle-Based Last-Mile Delivery in Jakarta: A Jakarta-Calibrated Scenario Simulation of Routing, Consolidation, and Fleet Electrification Muhammad Sobri Maulana; Dwitia Pratiwi; Arditya Prayogi
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 2 (2026): August 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i2.689

Abstract

Urban last-mile delivery is increasingly shaped by e-commerce growth, rapid-delivery expectations, and motorcycle-based courier operations. Jakarta is a relevant setting because motorcycles dominate road traffic and two-wheelers are widely used for last-mile delivery. This study develops a Jakarta-calibrated scenario simulation to estimate operational carbon dioxide (CO2) emissions under alternative combinations of route optimization, micro-hub consolidation, pickup-point delivery, and electric-motorcycle adoption. The model represents an illustrative 500-courier fleet only as a scaling device; daily courier distance is calibrated at 70 km/day, the midpoint of the 60-80 km/day range reported for Indonesian two-wheeler last-mile couriers, and 300 operating days/year is treated as an analytical normalization rather than an observed company schedule. Baseline emissions are therefore also reported per courier-year. Scenario VKT reductions are literature-informed inputs rather than outputs of an independently solved Vehicle Routing Problem or GIS model. To avoid double counting in the integrated scenario, individual distance-reduction effects are compounded and constrained by an explicit 40% VKT-reduction cap. Electric-motorcycle electricity use is set at 0.025 kWh/km, with a 10% charging-loss allowance, and electricity emissions are calculated using a Jakarta-relevant Java-Madura-Bali (JAMALI) grid factor of 0.87 kg CO2/kWh. Under the calibrated baseline, the illustrative fleet travels 10.50 million km/year, consumes 300,000 L of gasoline, and emits 693.0 tCO2/year (1.386 tCO2 per courier-year). Conditional on the scenario inputs, route optimization, micro-hub batching, and pickup-point consolidation correspond to 12.0%, 18.0%, and 25.0% lower emissions, respectively. A route-optimization plus 40% electric-motorcycle scenario produces an estimated 38.9% reduction, while the integrated scenario produces an estimated 62.9% reduction and 70.8% lower energy expenditure. These values should be interpreted as scenario-contingent estimates, not observed treatment effects. The analysis indicates that reducing avoidable vehicle-kilometers before electrifying the remaining travel is a promising decarbonization sequence for motorcycle-dominant urban delivery systems.
Artificial Intelligence Readiness and Carbon Productivity in Freight Transport: Evidence from OECD Countries Pınar Demir; Ayşe Güngör; Çisil Erkan Bal
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 2 (2026): August 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i2.789

Abstract

This study examines whether national artificial intelligence (AI) readiness is associated with a freight-oriented transport carbon productivity proxy in OECD countries. Using a strongly balanced panel of 28 countries for 2020-2022, the dependent variable relates road-and-rail freight transport work, measured in million tonne-kilometers, to national transport-related CO2 emissions. Government AI Readiness is the main explanatory variable, with GDP per capita, renewable energy use, internet penetration, urbanization, and trade openness included as controls. Pooled OLS, fixed-effects (FE), and random-effects (RE) models are estimated with country-clustered standard errors. Correlated random effects/Mundlak, wild cluster bootstrap, and exploratory interaction analyses are added to assess estimator choice, small-cluster inference, and possible complementarity with renewable energy and internet connectivity. The available 2020-2022 data do not identify a statistically significant contemporaneous association between AI readiness and the carbon-productivity proxy. This conclusion is unchanged under within-between decomposition and wild cluster bootstrap inference, while the interaction terms are also statistically insignificant. These null estimates should not be interpreted as evidence of no effect because the short panel, limited within-country variation, construct and outcome measurement limitations, and potentially lagged effects constrain statistical identification.
Managing Product Returns at the Source: Associations between SCOR Processes and Return Performance - Multimethod Evidence from the Gaziantep Carpet Manufacturing Industry Dilara Berrak TARHAN; Hasan Aksoy
Whoosh: Journal of Transportation and Logistics Vol. 1 No. 2 (2026): August 2026
Publisher : Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/whoosh.v1i2.792

Abstract

Product returns are not merely a post-sale reverse-logistics activity; they can also represent the visible outcome of deficiencies in planning, sourcing, production, delivery, and supply chain governance. This study examines associations between the Plan, Source, Make, Deliver, and Enable processes in the SCOR Model 12.0 and a perception-based Return construct and identifies processes that merit managerial attention for return prevention. A multimethod design is employed. A total of 119 valid questionnaires collected from carpet manufacturing firms operating in Gaziantep, Türkiye, were analyzed via exploratory factor analysis, correlation analysis, and multiple linear regression. Evaluations of 28 SCOR metrics obtained from 10 supply chain managers were then weighted via the entropy method, and semistructured interviews with four stakeholders connected to one large carpet manufacturer were used for contextual interpretation. Because the survey is cross-sectional and all the constructs were measured from the same respondents at one measurement occasion, the regression coefficients are interpreted as associations rather than causal effects, and common-method variance cannot be ruled out. The main regression model accounts for 75.7% of the variance in the Return construct (R² = .757; adjusted R² = .747; p < .001). Plan is the strongest predictor (β = -.559; p < .001), followed by Enable (β = -.253; p = .004), Make (β = -.200; p = .017), and Deliver (β = -.170; p = .021); Source is not statistically significant (β = -.091; p = .115). Exploratory item-level regressions identify supply chain data and information management (β = -.668; p < .001) and engineer-to-order production (β = -.546; p < .001) as the strongest nominal associations, but these item-level p values are unadjusted for multiple testing and are treated as hypothesis-generating. Within the 10-manager panel, entropy-derived weights rank Plan first, and an indicator-count-normalized sensitivity check also leaves Plan first, although the ordering of intermediate processes changes. Overall, the findings are consistent with a preventive, upstream approach to returns centered on planning, information governance, customized production, and fulfillment control.

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