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Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

Indonesia’s Free Nutritious Meal Program (MBG) requires an efficient and adaptive supply chain system to ensure timely distribution, cost efficiency, and adequate nutritional delivery for a large number of beneficiaries. However, conventional supply chain approaches are generally static and unable to respond effectively to dynamic demand, supply uncertainty, and logistical constraints. This study proposes a Multi-Objective Reinforcement Learning (MORL) model to optimize the MBG supply chain by simultaneously considering distribution cost, delivery timeliness, service level, nutritional adequacy, and food waste reduction. The model is developed using a simulation-based environment representing real-world supply chain conditions, including demand variability, transportation limitations, and kitchen capacity constraints. The results show that the proposed approach achieves cost reductions of 15–22%, improves delivery timeliness by 18–25%, maintains a service level above 90%, increases nutritional fulfillment by 12–18%, and reduces food waste by 10–15% compared to baseline methods. Sensitivity analysis further demonstrates the robustness of the model, with minimal performance degradation under disruption scenarios. These findings indicate that Reinforcement Learning provides a scalable and adaptive solution for optimizing large-scale public food distribution systems. The proposed model contributes both theoretically by integrating multi-objective optimization within an RL framework and practically by supporting data-driven decision-making for improving the effectiveness of the MBG program in Indonesia.

This study aims to analyze the role of the Regional Disaster Management Agency (BPBD) of East Flores Regency in managing the eruption disaster of Mount Lewotobi Laki-Laki during the pre-disaster, emergency response, and post-disaster phases. The study employed a descriptive qualitative method involving 18 informants from BPBD and affected communities in Wulanggitang and Ile Bura Sub-districts. Data were collected through observation, interviews, and documentation. The findings show that during the pre-disaster phase, BPBD implemented preparedness measures through disaster-prone area mapping, the establishment of Disaster Preparedness Teams and Disaster-Resilient Villages, public outreach, and the use of local wisdom. However, outdated contingency plans, limited early warning systems, weak relocation efforts, and low public awareness contributed to panic and casualties during the eruption. In the emergency response phase, BPBD successfully coordinated evacuation efforts, established emergency posts, and distributed logistics effectively. Nevertheless, displaced communities experienced discomfort due to prolonged emergency conditions and limited fulfillment of basic needs in temporary shelters. In the post-disaster phase, BPBD conducted rehabilitation and reconstruction through transportation recovery, trauma healing programs, and permanent housing development based on the Rehabilitation and Reconstruction Plan (R3P). However, limited funding and delays in reconstruction processes remained major challenges. Therefore, improving coordination, institutional capacity, disaster communication, and community participation is essential for effective disaster management.

This study aims to analyze the invoice issuance procedure in the billing process for clinker transportation services using the CSMS (Customer Service Management System) at PT Semen Indonesia Logistik (SILOG). The primary focus of the research is on the workflow within the billing and reporting unit, as well as the identification of challenges and recommendations for improvement in the process. This research adopts a case study method with a qualitative approach. Data were collected through observation, interviews, and documentation. Four informants were selected using purposive sampling. The findings indicate that the billing process begins with the receipt of documents from partners, followed by document verification, data entry into the CSMS system, and invoice printing. Invoice creation is done manually so that delays often occur due to data discrepancies, input errors, incomplete documents, etc .The implications of this study reveal that despite the implementation of CSMS, technical and administrative obstacles still hinder efficiency. Improvements are needed through automated data input, integration of the contract database, and refinement of standard operating procedures (SOPs) to expedite and enhance the billing process. These findings can serve as a reference for developing a more effective digital billing system in the logistics sector.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

This study aims to analyze the agribusiness supply chain system and the factors that influence the efficiency of agricultural product distribution. The agribusiness sector has unique characteristics, such as seasonal products, perishable commodities, and a high dependence on natural conditions. These characteristics often create imbalances between supply and demand which lead to price fluctuations in the market. Through a literature review approach, this study examines various concepts and conditions of the agribusiness supply chain involving several actors, ranging from farmers, collectors, wholesalers, distributors, to retailers before the products reach the final consumers.The results of the study indicate that the efficiency of the agribusiness supply chain is strongly influenced by coordination among business actors, distribution systems, and the support of logistics infrastructure. Long distribution channels, limited transportation facilities, and inadequate storage facilities are some of the main obstacles that increase marketing costs and widen the price gap between producers and consumers. In addition, the perishable and seasonal nature of agricultural products requires faster and more integrated logistics management. Therefore, strengthening the supply chain system through infrastructure improvement, distribution integration, and the use of market information is an important step to improve distribution efficiency and maintain the stability of agricultural product availability in the market.

This study aims to identify and minimize waste in the process of procuring Food & Beverage raw materials at Hotel PXY Jasa Bali using the Lean Inventory Management approach. Observations over one month showed that the total procurement cost reached 47% of the total revenue, exceeding the ideal limit of 35%. One of the main causes is the inefficient and lack of synchronization between divisions in the Rhapsody platform, which causes waste in the form of defects, delays, over-processing, and transportation. This study uses the Value Stream Mapping (VSM) method to map actual conditions and Process Activity Mapping (PAM) to identify the type of activity based on the waste category. In addition, root cause analysis is carried out using the Root Cause Analysis (RCA) approach. The mapping results showed that out of the total lead time of 598.44 minutes, only 278.49 minutes or 46.54% were value-added activities. This finding indicates that the procurement process is not yet efficient and needs optimization. Several recommendations were given to minimize waste, such as clearer division of tasks, improved communication with vendors, and the procurement of supporting facilities to reduce physical movement between divisions. The implementation of this lean service is expected to be able to increase the efficiency of the logistics process and reduce the company's overall operational costs.

Unequal access to population administration services remains a persistent governance challenge in archipelagic and geographically constrained areas, where spatial dispersion, limited connectivity, and high mobility costs systematically hinder citizens’ ability to obtain legal identity documents. In island regions, weak sea transportation networks, weather-dependent travel, and long distances to administrative centers reduce the feasibility of conventional, office-based service delivery, producing administrative exclusion that undermines equal citizenship. These barriers also intersect with socio-administrative realities, including the prevalence of unregistered marriages (nikah sirri), which constrains civil registration processes and delays the formal recognition of marital status and household composition within population administration systems. Against this backdrop, this review article aims to synthesize reputable scholarly literature on pelayanan jemput bola (mobile/outreach public services) as a policy strategy to advance service inclusivity and administrative justice in population administration, particularly for geographically marginalized communities. Methodologically, the article employs a thematic–conceptual literature review, systematically identifying and analyzing peer-reviewed journal articles and conference proceedings published primarily within the last five to ten years across recognized academic databases. The synthesis identifies key rationales and conceptualizations of outreach services, maps major implementation models (mobile units, community-based outreach, integrated one-stop outreach, and hybrid outreach–digital arrangements), and consolidates recurrent success factors, including local state capacity, inter-actor coordination, frontline discretion, and policy support. It also highlights persistent challenges such as logistical uncertainty, resource constraints, uneven digital readiness, and governance fragmentation across island territories. The article concludes that mobile/outreach population administration services can substantially improve equitable access to legal identity and strengthen civil rights realization in archipelagic contexts, but only when embedded in capacity-building and geography-sensitive governance arrangements. By integrating fragmented strands of scholarship, the review offers a conceptually grounded framework and policy-relevant implications for designing sustainable and just population administration reforms in island regions.

Urban mobility in Surabaya faces serious challenges due to the high ownership of private vehicles and the low use of public transportation. The Surabaya City Government launched Suroboyo Bus Electric in November 2024 as a sustainable transportation innovation on the Purabaya–ITS route. This study aims to analyze commuter preferences for the Suroboyo Bus Electric mode over private vehicles, by emphasizing functional factors (cost, travel time, comfort) and symbolic factors (status, identity, modern image). The research method used a quantitative descriptive approach with 400 respondents, primary data was obtained through questionnaires, while secondary data came from government documents and literature. The analysis was carried out through descriptive statistics, chi-square tests, and logistic regression. The results showed that the majority of respondents chose Suroboyo Bus Electric as the main mode (62%), with the dominance of young, middle-income users, and mostly women. Most of the respondents have one unit of private vehicle, but still use electric buses as a mode of complementing mobility. Travel destinations are dominated by social, economic, and educational activities, with an average travel time of 16–30 minutes. In terms of cost, more than half of the respondents spent Rp 5,000-Rp 10,000 per trip, indicating the affordability of fares. Symbolic factors also play an important role, where Suroboyo Bus Electric is perceived as a modern, clean, and sustainable city identity.

This study examines the implementation of RoRo ship services in Indonesia, highlighting the implementation of RoRo ships and the current national logistics framework potential strategies, particularly in the 3T region. This research employs a qualitative descriptive methodology that includes a literature review. It utilizes secondary data from previous studies, comprising books and original scientific reports published in articles or journals. The findings indicated 1) The use of RoRo ships has gone through progressive developments, like the government's initiative on “Sea Toll” designed to support the logistics sector, particularly in 3T regions. 2) Enhancing the logistics framework through the integration of National Logistic EcosIstem (NLE) alongside the Internet of Things (IoT) to increase logistics efficiency that is rapid, effective, and clear. Nevertheless, these initiatives faces challenges. Consequently. The proposed strategies focus on improving growth center development through logistics integration (shipping, port management, and intermodal) and implementing digitalization in logistics document processing.

The goal of this research is to explore the relationship between stock prices, liquidity, profitability, and leverage. This study focuses on transportation and logistics companies that were registered in the Indonesia Stock Exchange from 2021 to 2023. A quantitative approach was taken, utilizing secondary data derived from the annual financial statements of companies that were active during this time frame. The sample comprised 45 data points, selected using a purposive sampling technique. The independent variables include leverage, measured with the Debt to Equity Ratio (DER), profitability, assessed through Return on Assets (ROA), and liquidity, evaluated via the Current Ratio (CR). The dependent variable for this research is the stock price. The findings from this partial analysis reveal that liquidity significantly and negatively impacts stock price, with a t-count of -2.264 and a significance level of 0.029. However, the correlation between stock price and profitability was found to be insignificant, indicated by a significance value of 0.071 and a t-count of -1.853. Similarly, leverage does not significantly affect stock price, as evidenced by a t-count of -0.657 and a significance level of 0.515. Nonetheless, when considered collectively, the three factors of leverage, profitability, and liquidity do influence stock prices. According to the coefficient of determination (R2) test, these three variables account for 13.9% of the volatility in stock prices, leaving the remaining 86.1% to be attributed to external factors not examined in this study.

This Community Service Program was conducted to enhance the competencies of supervisors in the logistics and transportation division of an international cargo company through leadership training tailored to the characteristics of Generation Z. The program aimed to strengthen participants’ capabilities in managing workplace dynamics, improving team communication, and promoting more effective performance through a flexible leadership approach. The training was held on November 18, 2025, at the company’s head office in Bekasi and was attended by 16 supervisors. The methods used included material presentations, group discussions, case study analysis, and an interactive question-and-answer session. The results indicate an increased understanding among participants regarding Generation Z work behavior, appropriate leadership principles, and more adaptive management strategies. This program is expected to provide sustainable benefits for human resource development and to enhance leadership effectiveness within the logistics sector.

This study discusses allegations of abuse of dominant position by Lion Air Group in the domestic aviation market and air cargo services in Indonesia. By controlling more than 50% of the market share, the group is suspected of unilaterally setting ticket prices and logistics costs, which could hinder healthy business competition and harm consumers and competing airlines. This study uses a normative juridical approach with a descriptive qualitative analysis method, supported by secondary data from legislation, KPPU reports, and academic literature related to competition law. The study's findings indicate that the concentrated market structure and weak regulatory oversight contribute to the formation of dominant behavior that harms the market and consumers. Legally, such actions violate Article 25 of Law Number 5 of 1999, as they result in discriminatory practices and unreasonable price control. Synergy between the KPPU and the Ministry of Transportation is needed to strengthen regulations in the aviation sector in order to create a business climate that is more fair, competitive, and oriented towards public welfare.

The purpose of this study is to investigate the strategic role of air transportation management in Military Operations Other Than War (MOOTW), particularly in archipelagic contexts such as Indonesia, where rapid humanitarian response, territorial surveillance, and civil–military cooperation are essential for resilience. By applying a Systematic Literature Review (SLR), this article synthesizes findings on humanitarian logistics, technological transformation, and policy frameworks for strengthening national defense readiness. Design/methodology/approach – This study employs a qualitative Systematic Literature Review (SLR) methodology guided by PRISMA principles, analyzing 30 scholarly contributions from 2009–2025, including international peer-reviewed journals, Routledge and Springer volumes, arXiv preprints, and Indonesian academic publications.Results highlight that strategic air  transportation is indispensable for disaster relief, medical evacuation, and supply delivery in archipelagic nations. The adoption of AI, machine learning, UAVs, and reinforcement learning has enhanced responsiveness and equity in humanitarian supply chains. However, persistent challenges include aging fleets, interoperability constraints, and fragmented civil–military coordination. The study underscores the need for modernization of air assets, institutionalized civil–military collaboration, and integration of AI-based routing and command systems. Strengthening these aspects can enhance Indonesia’s resilience and preparedness in MOOTW scenarios. This article uniquely bridges global research on data-driven air power with Indonesian defense perspectives, proposing a scalable strategic framework for air transportation management that advances archipelagic resilience.

This study aims to analyze the influence of Service Quality, Price Perception, and Trust on the User's Interest in the ferry service of KMP Gili Iyang on the Paciran-Bawean route operated by PT. ASDP Indonesia Ferry (Persero) Cabang Paciran. This route plays a critical role as an essential logistics and social link for Bawean Island. The quantitative research used a survey method with an Incidental Sampling technique, involving 100 respondents who are users of the service. The collected data were analyzed using Multiple Linear Regression with SPSS V25. The partial hypothesis test results (t-test) show that Service Quality (β=0.80; p=0.033), Price Perception (β=0.69; p=0.038), and Trust (β=0.587; p=0.000) individually have a positive and significant impact on the User's Interest. The Trust variable was found to be the most dominant predictor, emphasizing the importance of integrity, competence, and operational consistency in essential and high-risk maritime transportation services. The adjusted R-squared value of 60.% indicates that this model provides a strong explanation for the variation in User's Interest. This study provides important implications for managing ferry services by improving service quality, competitive pricing, and building customer trust to increase user interest.

Salam Pacific Indonesia Lines is a company included in the largest domestic shipping industry in the field of logistics and sea transportation services with a focus on inter-island container transportation in Indonesia using ships. This paper aims to determine how the container utilization strategy in improving logistics efficiency by PT. Salam Pacific Indonesia Lines Medan Branch. The process begins with selecting the right type of container, standardization and consolidation of cargo, integration of digital logistics systems, and optimization of routes and modes of transportation. In compiling this paper, the author applies several methods, including field studies or direct observations in the field, and library studies or literature reviews. The goal is to understand more deeply how PT. Salam Pacific Indonesia Lines Medan branch implements a container utilization strategy to improve efficiency in logistics activities. The obstacles faced in handling this are fleet and vehicle constraints, limited promotion and adjustment of application technology, traffic congestion, and weather and safety factors. In addition, inefficiencies in the distribution process, lack of good cooperation and coordination, and technological limitations are obstacles in optimizing container use. Good coordination can improve the service of goods delivery activities so that they can run smoothly, safely and efficiently.

This research aims to examine the impact of integrating cleaner production practices with green supply chain technologies as a comprehensive approach to achieving environmental sustainability. The study highlights that cleaner production and green supply chain management represent advanced, innovative strategies that have emerged as a response to the growing environmental challenges caused by the rapid expansion and diversification of industrial activities. These technologies are not only environmentally oriented but also carry significant economic implications for organizations. The findings emphasize that adopting cleaner production involves minimizing waste generation, improving production efficiency, and ensuring that processes are designed to have minimal adverse effects on the environment. On the other hand, green supply chain technologies focus on integrating environmental thinking into every stage of the supply chain—ranging from product design, material sourcing, and manufacturing processes to logistics, product delivery, and end-of-life management. The study concludes that the synergy between these two approaches provides multiple benefits. From an environmental perspective, they contribute to reducing carbon emissions, particularly from fuel-powered machinery and transportation systems. They also promote the rational use of resources, including energy, water, and raw materials, thereby helping to preserve natural resources for future generations. From an economic perspective, their implementation leads to reduced operational costs by enhancing efficiency, decreasing waste disposal expenses, and optimizing resource usage. Furthermore, the integration of cleaner production and green supply chain technologies supports compliance with environmental regulations and enhances the corporate image of economic units, enabling them to gain competitive advantages in increasingly eco-conscious markets. Overall, the research affirms that these practices are essential tools for confronting and mitigating the environmental pollution challenges of modern industries, while simultaneously fostering sustainable economic growth and long-term environmental protection.

PT Salam Pacific Indonesia Lines Medan branch is a large-scale domestic shipping company that provides logistics and sea transportation services, particularly inter-island container shipping throughout Indonesia. This paper discusses how efficiency is applied to direct container activities at the Medan branch. The work stages begin with the accurate identification of tentative cargo. Direct officers first obtain data on the number of containers from the depot head, including the prefix, condition (grade), and size of the containers to be processed. After that, officers check the completeness of documents and conduct physical checks in accordance with company operational regulations. If all requirements are met, containers are directed for direct shipping based on Customer requests and the tentative ship loading schedule that has been set. Next, officers issue an SP2 or Container Delivery Letter as a requirement for entering the port gate. With this flow, the process can support the efficiency of the container cycle in the empty container handling system. However, obstacles are still found, such as complex administrative processes, missing documents, and information that has not been communicated properly. Therefore, intensive coordination with the authorities is needed so that direct activities run smoothly. This paper uses field observation and literature study methods to obtain relevant data.

This study aims to examine the effect of financial ratios on financial distress in transportation and logistics sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2024 period. The research employed a documentation method by collecting secondary data from the companies’ financial statements within the observed period. The financial ratios analyzed include profitability, liquidity, leverage, and activity. The level of financial distress was measured using the Altman Z-Score method. The sample was selected using a purposive sampling technique, consisting of 22 companies observed over six years. Data analysis was conducted using panel data regression with the assistance of EViews 12, with the selected model being the Fixed Effect Model (FEM). The partial test results indicate that profitability, liquidity, leverage, and activity ratios do not have a significant effect on financial distress. However, the simultaneous test results show that the four variables together significantly affect financial distress. These findings suggest that financial ratios cannot serve as a single indicator in assessing a company’s financial distress. Nevertheless, when used collectively and combined with the Altman Z-Score measurement, they can provide a more accurate assessment of a company’s financial distress condition.

This study aims to analyze the effect of changes in interest rates, exchange rates, economic growth, and world oil prices on stock returns in the transportation and logistics sector in Indonesia during the period 2006–2024. This sector was chosen because it is highly vulnerable to fluctuations in macroeconomic factors that have a direct impact on companies' operating costs and financial performance. The method used is multiple linear regression with an annual panel data approach, using a sample of transportation and logistics companies listed on the Indonesia Stock Exchange. The independent variables include changes in interest rates, exchange rates, economic growth, and oil prices, while the dependent variable is stock returns. The results show that, partially, only changes in interest rates have a significant negative effect on stock returns. Conversely, exchange rates, economic growth, and oil prices have no statistically significant effect. Simultaneously, these four variables also show no significant effect on stock returns. This study makes a new contribution through the use of a long observation period and a focus on the transportation and logistics sector, thereby providing a deeper understanding of this sector's sensitivity to macroeconomic conditions.