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+6281188062006
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Jalan Marina Indah Raya No. 1 Pantai Indah Kapuk, Kamal Muara, Penjaringan, Jakarta Utara, Indonesia
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INDONESIA
Siber Journal of Transportation and Logistics
ISSN : 29871026     EISSN : 29871050     DOI : https://doi.org/10.38035/sjtl.v1i1
Core Subject : Economy, Science,
Siber Journal of Transportation and Logistics (SJTL) is managed and published by Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER). SJTL articles are the result of field research, literature studies, and public policy research. This publication aims to disseminate the results of scientific research in the field of transportation and logistics management, in improving the quality of the development of the public transportation sector.
Articles 79 Documents
An Integrative Model of Logistics Performance: Examining the Role of Customer Satisfaction in Linking Vendor Performance, Pricing Strategy, and Service Quality Bambang Lukmanul Hakim; Agus Purnomo; Melia Eka Lestiani
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.688

Abstract

The rapid development of the logistics and courier service industry, along with the growth of e-commerce, requires companies to continuously improve operational performance and service quality. The logistics performance of courier services is influenced not only by internal factors but also by the integration of vendor performance, pricing strategy, and service quality, all of which contribute to shaping customer satisfaction. This study aims to analyze the effect of vendor performance, pricing strategy, and service quality on customer satisfaction and logistics performance, as well as to examine the role of customer satisfaction as a mediating variable in courier service companies in Riau Province. This study employed a quantitative approach using the Structural Equation Modeling Partial Least Square (SEM-PLS) method. The research data were collected through questionnaires distributed to 150 users of courier services. The variables analyzed include vendor performance, pricing strategy, service quality, customer satisfaction, and logistics performance. The results indicate that vendor performance, pricing strategy, and service quality have positive effects on customer satisfaction. Service quality has the most dominant influence on customer satisfaction, followed by pricing strategy and vendor performance. Customer satisfaction also has a positive effect on logistics performance. In addition, customer satisfaction serves as a partial mediating variable in the relationship between vendor performance, pricing strategy, service quality, and logistics performance. The non-linear analysis further reveals that the quadratic effects of service quality, pricing strategy, and vendor performance have significant negative effects on customer satisfaction, indicating the presence of a diminishing return effect in which increases in these variables beyond a certain threshold no longer lead to proportional increases in customer satisfaction. This study concludes that improving the logistics performance of courier service companies can be achieved through the integration of vendor operational performance, customer value-based pricing strategies, and enhanced service quality in order to create sustainable customer satisfaction.  
The Effect of Internet of Things (IoT) and CEISA 4.0 System Reliability on Logistics Company Performance: The Mediating Role of Service Quality in Freight Forwarding Companies in Jakarta Jusuf Roni Siahaan; Siti Maemunah; Sofwan Farisyi; Eduard Alfian Syamsya; Rohana Sitanggang
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.712

Abstract

This study analyzes the effect of Internet of Things (IoT) and CEISA 4.0 system reliability on logistics company performance, with service quality as a mediating variable in freight forwarding companies in Jakarta. A quantitative approach was applied using data from 288 CEISA 4.0 users, analyzed through SEM-PLS. The results show that IoT has a significant positive effect on both service quality and company performance. Meanwhile, CEISA 4.0 reliability has no significant direct effect on company performance but positively affects service quality. Furthermore, service quality mediates the relationship between IoT and company performance but does not mediate the effect of CEISA 4.0 reliability. These findings indicate that IoT plays a more critical role in improving logistics performance, while the effectiveness of CEISA 4.0 is still limited. Therefore, improving system reliability and service quality is essential to enhance company performance in the logistics sector.
Dynamic Capabilities as a Strategic Resource Transformation Mechanism in Creating Public Value at PT Transportasi Jakarta Eko Kuntadhi; Winny Septiana Sari
Siber Journal of Transportation and Logistics Vol. 3 No. 4 (2026): (SJTL) Siber Journal of Transportation and Logistics (January - March 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v3i4.792

Abstract

Public sector organizations are increasingly required to adapt to environmental changes and technological developments in order to create sustainable public value. However, the possession of strategic resources alone is insufficient to generate superior organizational performance without the capability to transform and reconfigure those resources effectively. This study aims to analyze the role of dynamic capability as a transformational mechanism linking human capital development, strategic leadership, digital capability, and service culture to public value creation at PT Transportasi Jakarta. The study employed a quantitative explanatory approach involving 157 employees selected through purposive sampling. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The findings reveal that human capital development, strategic leadership, digital capability, and service culture positively and significantly influence dynamic capability. Among these variables, digital capability demonstrates the strongest effect. Furthermore, dynamic capability significantly enhances public value and partially mediates the relationship between strategic resources and public value. These findings confirm that dynamic capability serves as a critical mechanism through which strategic resources are transformed into sustainable public value. Strengthening digital capability, strategic leadership, and human resource development is therefore essential for improving public service performance and delivering greater value to society.
The Influence of Digital Transformation Dimensions on Operational Efficiency and Logistics Service Performance at KCU Padang PT Pos Indonesia Wahyu Indra Permata; Maniah Maniah; Melia Eka Lestiani
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.795

Abstract

This study examines the influence of three digital transformation dimensions, technology adoption, digital HR readiness, and top management support, on operational efficiency and logistics service performance at PT Pos Indonesia's Padang Main Branch Office. Using the TOE Framework and PLS-SEM with SmartPLS 4.0, data from 58 employees were analyzed. Five of six hypotheses were supported, revealing a previously undocumented cross dimensional pattern, digital HR readiness emerged as the strongest predictor of operational efficiency (β = 0.553, f² = 0.485), while technology adoption and top management support more strongly influenced service performance. The model explains 77.2% and 69.8% of variance respectively. These findings indicate that internal efficiency is primarily determined by human readiness, while customer facing service quality is driven by the combination of technology and leadership.
Optimizing Chemical Tanker Performance: The Role of Cargo Control Operations and Crew Discipline David Pandapotan Sirait; Esterlinus Edwin Lermatan; Marthaleina Ruminda
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.850

Abstract

This study analyzes the impact of cargo control operations during Caustic Soda (CCS) loading/unloading and crew discipline on Motor Tanker operational performance at a South Korean shipping company. A quantitative survey approach was utilized, involving 35 crew members directly responsible for cargo handling. Data were analyzed through multiple linear regression and hypothesis testing via SPSS. Cargo control operations and crew discipline partially and simultaneously exert a positive, significant effect on operational performance, explaining 86.5% of the variance. Optimizing cargo control technology and enforcing strict crew discipline are crucial synergies for ensuring the smooth, safe, and efficient operation of vessels transporting hazardous chemical cargoes. The small sample size and specific focus on CCS cargo within one company may restrict the generalizability of these findings to other vessel types or cargo scales. This research provides strategic insights into maritime operational management, contributing empirical evidence on high-risk handling procedures for hazardous liquid chemicals.
Maritime Accident Risk Assessment as a Basis for Selecting Anchorage Area Locations: A Perception Study in the Waters of Riau Islands, East Kalimantan, and South Kalimantan Raden Aditya Wirawan
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.859

Abstract

This study aims to analyze stakeholder perceptions regarding the risk of shipping accidents as a basis for consideration in selecting locations for anchorage areas to be commercialized in the waters of Riau Islands (Kepri), East Kalimantan (Kaltim), and South Kalimantan (Kalsel) Provinces. The method used is a descriptive quantitative and qualitative survey of 39 respondents consisting of representatives from the Ministry of Transportation (56.4%), Local Government (15.4%), Associations (7.7%), the Private Sector (15.4%), and Academics (5.1%). The survey results indicate that the majority of respondents (71.8%) stated that the marine location significantly influences the risk of shipping accidents. Marine environmental conditions were deemed highly influential by 79.5% of respondents, and 84.6% of respondents stated that a combination of extreme conditions (storms, high waves, and strong currents) constitutes the primary threat. From a shipping traffic perspective, 82.1% of respondents selected a combination of congested conditions, narrow waters, and the absence of Aid to Navigation (AtoN) as the greatest potential risk. Regarding anchoring, 97.4% of respondents agreed that the designation of these areas needs to be carried out by the government, and 79.5% designated the Ministry of Transportation as the authorized organizer. Furthermore, 87.2% of respondents supported the Public-Private Partnership (PPP) scheme, with Concession and Utilization Cooperation (KSP) being the preferred options at 41% each. The urgency of risk assessment in location selection obtained an average score of 4.26 on a scale of 5, while the value of safety as an investment parameter reached an average of 4.64.
Evaluating the Impact of Warehouse Management Systems (WMS) Effectiveness, Technology Integration, and Organizational Support on Supply Chain Performance Nandra Aditia Andrian; Agus Purnomo; Erna Mulyati
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.873

Abstract

The impact of technology integration and organisational support on the effectiveness of Warehouse Management Systems (WMS) in manufacturing companies is examined in this study, along with their effect on supply chain performance. A quantitative methodological approach was adopted, employing Structural Equation Modelling–Partial Least Squares (SEM-PLS) with SmartPLS as the analytical tool. The research model consists of four variables: technology integration, organisational support, WMS effectiveness and supply chain performance. The results of the SEM-PLS analysis indicate that technology integration has a significant positive effect on WMS effectiveness (β = 0.478, p < 0.001), as does organisational support (β = 0.452, p < 0.001). Furthermore, WMS effectiveness significantly improves supply chain performance (β = 0.430, p < 0.001) and mediates the effects of technology integration and organisational support on supply chain performance. The model explained 73.0% of the variance in WMS effectiveness and 72.5% of the variance in supply chain performance, indicating substantial explanatory power. The findings demonstrate that successful WMS implementation depends on technological integration and strong organisational support, including management commitment and employee readiness. By improving warehouse operational effectiveness, organisations can achieve better supply chain performance. This research contributes to supply chain management literature, providing practical guidelines for developing effective, integrated WMS implementation strategies.
Analysis of Cost Efficiency, Travel Time, Characteristics of Goods and Load Capacity on The Selection of Transportation Modes Through Route Optimization as a Mediating Variable Christin M; Maniah Maniah; Erna Mulyati
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.874

Abstract

The Influence of Cost Efficiency, Transit Time, Shipment Characteristics, and Load Capacity on Transportation Mode Selection through Route Optimization as a Mediating Variable at PT Pos Indonesia Regional III Bandung. The increasing complexity of logistics distribution and higher service demands require companies to improve transportation efficiency through effective management of cost efficiency, transit time, shipment characteristics, and load capacity. This study aims to analyze the influence of cost efficiency, transit time, shipment characteristics, and load capacity on transportation mode selection through route optimization as a mediating variable at PT Pos Indonesia Regional III Bandung. This research employed a quantitative approach using Structural Equation Modeling–Partial Least Squares analysis. Data were collected through questionnaires distributed to respondents involved in the company’s distribution and transportation activities. The results indicate that cost efficiency, transit time, shipment characteristics, and load capacity have a positive and significant effect on route optimization. Furthermore, route optimization has a positive and significant effect on transportation mode selection. Cost efficiency, transit time, shipment characteristics, and load capacity also positively influence transportation mode selection both directly and indirectly through route optimization. The study concludes that route optimization plays a crucial role in improving transportation mode selection decisions and enhancing distribution efficiency within the company.
Formulating a Maritime Risk Matrix Based on Ancient Text Quantification: Man-Made versus Natural Risks Vigih Hery Kristanto; Suharto Suharto; Dyah Purwitasari; M. Anjar Pamungkas
Siber Journal of Transportation and Logistics Vol. 4 No. 1 (2026): (SJTL) Siber Journal of Transportation and Logistics (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i1.910

Abstract

Contemporary maritime safety management generally relies on technical approaches, whereas historical analyses can provide a fundamental perspective regarding disaster taxonomy. This research aims to elaborate on the threat weight divergence between human-induced risk variables (Man-Made Risk) and Natural Risk extracted from a corpus of ancient texts, as well as to examine their implications for mapping the ALARP tolerance limits in maritime regulations. This study employs an explanatory quantitative approach integrating computational linguistics with the Formal Safety Assessment (FSA) framework. Ten maritime hazard keywords were converted into absolute numerical units using the Hisab Al-Jummal system of the Masyriqi school, normalized, and calibrated with empirical probabilities to map the Risk Score on a 5×5 matrix. The analysis results prove that Man-Made Risk, specifically the keyword zulm meaning negligence and regulatory violations clearly dominates the hazard hierarchy in the Unacceptable Region with the highest score. Conversely, natural physical threats such as high waves with the keyword mawj have been effectively reduced to acceptable levels due to the standardization of modern ship architecture. The findings indicate prioritize regulatory enforcement that extreme natural conditions essentially act as an initial trigger, while negative human intervention is the primary catalyst for mass maritime tragedies. In conclusion, the results of this study are crucial in encouraging a shift in maritime mitigation strategies so that they do not solely focus on avoiding extreme weather, but rather prioritize regulatory enforcement, regulatory audits, and the strengthening of safety culture.
System Dynamics-Based Rice Procurement Strategy to Support Food Stability in Critical Periods Rizki Alifnur Harmawan; Erna Mulyati; Agus Purnomo
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.929

Abstract

Rice procurement strategies play a crucial role in ensuring supply availability and stabilizing prices in traditional markets, particularly during critical periods characterized by higher demand and limited supply. This study aims to implement a rice procurement method in traditional markets in Tangerang Regency, using system dynamics during critical periods. This study uses an AnyLogic-based simulation approach, utilizing secondary data on rice prices, stock availability, and rice demand sourced from the Tangerang Regency Food Information System and the Tangerang Regency Agriculture and Food Security Office. Simulations were conducted in four different scenarios: standard conditions in May 2025, the period after Eid al-Adha in July 2025, the dry season with decreased food distribution in September 2025, and the Christmas and New Year season in December 2025. The results show that the period after Eid al-Adha is the most critical scenario, with the largest stock deficit of 12,146 and the lowest service level of 89.88%. Based on simulation findings and risk assessments, a mixed procurement strategy emerged as the most effective option to ensure stock availability, mitigate the risk of supply deficits, and facilitate future rice price stability during critical times.