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Firm value is a metric that reflects investors’ perception of management’s success in managing the company, as represented by the market price of its shares. The transportation and logistics sector in Indonesia has faced significant challenges, especially since the COVID-19 pandemic, which has led to fluctuations in firm value. This study aims to analyze the effect of managerial ownership structure, sales growth, and business risk on the firm value of transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2022 period. This research employs a quantitative approach with an associative research design. The primary theoretical framework used is agency theory, which explains the relationship between owners and managers and highlights the importance of aligning their interests in decision-making processes. The sample consists of 16 companies selected using purposive sampling, resulting in 48 observations over three years. Data were obtained from the official IDX website and analyzed using multiple linear regression with the help of SPSS software. The dependent variable is firm value, measured by price to book value (PBV), while the independent variables are ownership structure, measured by management ownership percentage (MOP); sales growth, measured by growth sales rate (G); and business risk, measured by the degree of operating leverage (DOL). The results of the study indicate that all three independent variables have a positive and significant effect on firm value. These findings support agency theory and demonstrate that an appropriate ownership structure, stable sales growth, and effective management of business risk can enhance firm value. This study is expected to contribute to the development of accounting science and managerial practices in the transportation and logistics sector, as well as provide insights for investors in making informed investment decisions.

The rapid development of the business world has driven increased complexity in competition, particularly in the retail sector which has experienced significant growth in various regions, including Tuban. In this context, the partnership between suppliers and department stores (toserba) becomes a strategic aspect that plays a crucial role in maintaining business continuity, operational efficiency, and customer satisfaction. This study aims to analyze the patterns of relationships between suppliers and department stores in Tuban, as well as to identify factors that support the success of such partnerships and their impact on operational performance and customer satisfaction. Using a qualitative descriptive approach based on library research, data were collected from various secondary sources such as scientific journals, books, and relevant publications. The results indicate that effective partnership relationships are characterized by open communication, high trust and commitment, close collaboration, and adaptation to digital transformation. Furthermore, a solid partnership between suppliers and department stores contributes to improving supply chain efficiency, reducing logistics costs, optimizing inventory management, and enhancing customer satisfaction through product availability and responsive service. This study provides valuable contributions to formulating sustainable collaborative strategies for local retail businesses to face increasingly competitive markets.

This study aims to analyze the factors influencing consumer purchasing decisions for artificial flower products, marketing strategies used, and challenges in production and distribution. A descriptive qualitative approach was applied through a case study on the Fake Flower Plastic business. Data were collected via interviews, observations, documentation, and questionnaires. The results indicate that product quality, aesthetics, pricing, and social media influence significantly affect consumer decisions. Digital marketing via social media and influencer collaboration proved effective in reaching target consumers. Production challenges include raw material efficiency and sustainability, while distribution is hindered by logistics and packaging issues. The study recommends improving product quality, design innovation, and strengthening marketing and distribution strategies to support sustainable business growth.

This study examines the application of big data analytics on Bhinneka.com, a leading e-commerce platform in Indonesia, to tackle the increasing in complexity of online user behavior in a swiftly changing digital environment. The primary issue is too challenges in evaluating extensive, unstructured, and heterogeneous user data, which obstructs personalization, marketing efficacy, and operational decision-making. The study seeks to assess the efficacy of big data instruments, specifically Artificial Intelligence Recommendation (AIRec) and Customer Data Platform (CDP), in improving user behavior forecasting. Service customization, and data-informed strategies. This study utilizes a qualitative case study methodology, including literature review and platform observation, to synthesis the many forms of big data analytics (descriptive, diagnostic, predictive, and prescriptive) and their implementation at Bhinneka.com. Significant findings indicate that the integration of AIRec and CDP has augmented the platform’s capacity to predict consumer preferences, improve marketing accuracy, and optimize logistics. However, obstacles stay the same, such as disjointed data systems, data quality concerns, and internal opposition to embracing a data-driven culture. The study suggests that although big data analytics substantially enhances Bhinneka.com’s digital competitiveness, ongoing investment in data infrastructure and organizational competence is crucial to fully harness its potential and preserve a competitive advantage in Indonesia’s e-commerce market.

The rapid development of e-commerce in Indonesia has a significant impact on the growth of the digital economy, but also presents major challenges related to environmental sustainability. This study aims to evaluate the environmental impacts caused by e-commerce activities, especially in terms of increasing plastic waste from single-use packaging, carbon emissions in logistics activities, and energy consumption from data centers. Through a literature study and descriptive analysis approach, this study highlights the large contribution of the e-commerce sector to the volume of domestic waste and the need for effective mitigation strategies. In addition to identifying existing challenges, this study also explores various sustainable practices, such as the use of environmentally friendly packaging, consumer education, and the development of low-emission logistics systems. The results of the study indicate that sustainability in e-commerce can only be achieved through collaboration between the government, business actors, and the community. Strict regulations, technological innovation, and increased consumer awareness are needed so that e-commerce can develop in line with the principles of environmental sustainability.    

This study aims to analyze the effect of port integration of PT Berlian Manyar Sejahtera with JIIPE Industrial Estate on logistics distribution efficiency. The background is the existence of distribution costs in Indonesia, which are relatively expensive. The integration of ports with industrial estates and other factors could cut distribution costs. The purpose of this research is to find out how many percent of the influence of proximity distance for distribution costs and also the time in the distribution process. In this research, a quantitative methods is used which is assisted by a software, namely SPSS version 27. Data collection techniques were carried out by interviews, documentation, and literature study. The data used includes the distance from the port to the warehouse receiving goods, distribution rates, and the length of time in the loading and unloading process. The results of the analysis show that there is an influence between distance, costs, and tariffs in the distribution process. And how this integration is significantly beneficial for service users

This study aims to analyze the optimization of the role of Dandim 1301/Sangihe in handling the eruption of Mount Ruang as part of the implementation of the Indonesian Army’s (TNI AD) main duties in the field of Military Operations Other Than War (OMSP). The research was conducted in Sitaro Regency, North Sulawesi, using a qualitative approach with purposive sampling techniques. The informants consisted of personnel from Kodim 1301/Sangihe, BPBD staff, and community leaders. Data was collected through interviews, observations, and documentary studies. The results show that the role of Dandim is crucial in coordinating and mobilizing disaster response, but there are still challenges such as limited personnel, logistics, equipment, and weak inter-institutional coordination. The study concludes that optimization can be achieved through the development of a disaster risk map, strengthening inter-institutional collaboration, utilizing technology (drones), and conducting routine disaster training and simulations. These measures are expected to improve the effectiveness and speed of response in facing volcanic eruptions.

As an integral part of Tanjung Perak Port, Kalimas Terminal holds a strategically important position in supporting Indonesia’s national export and import activities. Its vital role makes it one of the key logistics hubs in the country. During its operations, the generation of hazardous and toxic (B3) waste is unavoidable, requiring swift and proper handling to prevent environmental degradation and protect public health. This study aims to assess the level of compliance in B3 waste management at Kalimas Terminal, Tanjung Perak. The research focuses on evaluating key aspects such as the identification, collection, storage, and transportation of B3 waste, along with the completeness of related documentation, in accordance with applicable environmental regulations. By examining the current waste management practices in place, this study also seeks to formulate strategic recommendations to enhance the effectiveness and sustainability of B3 waste handling in the future.

The rapid growth of e-commerce has driven companies to seek more effective strategies to enhance logistics efficiency and customer satisfaction. This article examines the synergy between artificial intelligence, strategic location determination, and digital marketing in supporting the performance of digital supply chains. This multidimensional approach demonstrates that integrating cutting-edge technologies with precise location strategies and data-driven marketing can create superior customer experiences and more efficient operational costs. This study is based on a literature review of ten recent related studies. Moreover, it highlights consumer behavior shifts due to the digitalization and globalization of supply chains.  

The purpose of this study is to determine how the financial performance (Y) of transportation and logistics companies listed on the Indonesia Stock Exchange during the 2020-2023 period correlates with liquidity (X1) and solvency (X2) ratios. This research utilizes multiple linear analysis methods with secondary data and SPSS tools. The population consists of 37 companies, with 10 companies as research samples. The analysis results show that the liquidity ratio (X1) does not significantly affect the financial performance (Y) of transportation and logistics companies listed on the Indonesia Stock Exchange; the t-test probability value for this ratio is 0.078, greater than 0.05. In the same way, the t-test for the solvency ratio found a probability value of 0.259, which is also greater than 0.05, indicating that the solvency ratio also does not affect financial performance (Y). On the other hand, the f test value is 0.141, which is also greater than 0.05. Overall, the financial performance (Y) of transportation and logistics companies listed on the Indonesia Stock Exchange is not significantly affected by the liquidity ratio (X1) and solvency ratio (X2) variables. From these results, it can be concluded that only ten percent of financial performance is influenced by solvency and liquidity ratios. Other factors not considered in this study affect the other ninety percent.  

This study aims to evaluate the effectiveness of the Sea Toll Program, specifically Route T-26, with a focus on its outcomes and tangible benefits for the community in Fakfak Regency, West Papua. The research employed a descriptive quantitative method using statistical analysis through a paired sample t-test. Primary data were collected through field observations and interviews with relevant agencies such as the Directorate of Sea Traffic and Transportation and field implementation consultants, while secondary data were sourced from the 2024 operational report of Route T-26. Data collection techniques included field observation, primary surveys, document studies, and secondary data analysis. The findings indicate that the Sea Toll Program contributes to improving logistics distribution, lowering the prices of several key commodities, and reducing household expenditures, although statistical tests showed that the price differences were not significant. The implications highlight the need to optimize the volume and regularity of Sea Toll voyages to strengthen economic resilience in remote, outermost, underdeveloped, and border areas (3TP).

Indonesia is a developing country located at the convergence of four tectonic plates, making it highly prone to natural disasters such as earthquakes, tsunamis, landslides, and volcanic eruptions. These frequent disasters highlight the critical need for reliable electricity during emergencies. However, disaster-affected areas often struggle to restore power due to accessibility issues. To address this, alternative energy sources are needed, and Solar Power Plants (PLTS) offer a practical solution. PLTS are easy to implement, depend only on sunlight, and provide clean energy with low carbon emissions. Under clear skies, solar radiation can reach 1,000 Watts per square meter, making it a powerful energy source. Additionally, PLTS systems are adaptable and can be deployed in various formats, including mobile units. This study focuses on designing a Mobile PLTS to support BASARNAS operations in disaster zones. Data collection was conducted using resources from BNPB, BMKG, BASARNAS, and NASA. The analysis includes the geographical characteristics of the site, solar radiation intensity, and the operational dimensions of the BASARNAS Mobile Truck. The study aims to determine the suitable system specifications and estimate the energy production capacity of the Mobile PLTS. The proposed design features 20 solar panels, each with a capacity of 300 Wp, producing an average of 27.70 kWh per day. It also includes 16 batteries for energy storage. The remaining space in the truck can be used for transporting logistics or essential tools, making it a multifunctional unit ideal for disaster response scenarios.

Digital transformation through Internet of Things (IoT) in warehouse management represents a paradigmatic revolution in contemporary logistics systems. This research comprehensively explores the complexity of IoT implementation, analyzing critical factors influencing digital transformation in storage systems. Utilizing a systematic literature review methodology, the research unveils multidimensional dynamics involving complex interactions between advanced technology, organizational structures, and human resources. Findings indicate that successful IoT implementation requires a holistic approach that transcends mere technological adoption, demanding a fundamental reconstruction of business ecosystems. Key factors include top management support, sustainable infrastructure investment, human resource competency development, and innovation culture creation. The research affirms that digital transformation is not simply a technological project, but a complex strategic journey requiring long-term commitment and sustainable adaptive capabilities. Research implications provide profound insights for academics and practitioners in designing effective digital transformation strategies in warehouse management.

As global pressure for decarbonizing the maritime sector intensifies, ports worldwide, including in Indonesia, are facing demands to transform into green ports. This study aims to conduct an in-depth analysis of the multidimensional challenges and complex stakeholder dynamics in the implementation of the green port concept in Indonesia. Using a descriptive qualitative method based on a documentary study, this research integrates Stakeholder Theory and Institutional Theory to dissect the interactions among actors and the external pressures shaping sustainability strategies. The main findings indicate that the green transition in Indonesian ports is hindered by three primary challenges: (1) economic constraints related to high investment and operational costs, (2) socio-economic trade-offs that risk impeding regional economic growth, and (3) fragmented governance among government institutions. Stakeholder analysis identifies fundamental conflicts of interest among the government, port operators, the private sector, and local communities. The implication of this research is the need for a shift from showcase projects to a holistic, systemic transformation, supported by a robust multi-stakeholder governance platform and effective incentive schemes to encourage widespread adoption of green technology.

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.

This ponder analyzes the impact of execution estimation framework on work inspiration and representative efficiency at the Staff of Military Coordinations, Indonesia Defense College, and tests the intervening part of work inspiration. The inquire about strategy employments a quantitative approach with a study of 125 respondents (teachers, scholastic staff, and bolster staff). Information were analyzed utilizing SEM. The comes about appeared that the execution estimation framework incorporates a positive and noteworthy impact on work inspiration (β = 0.52, p < 0.001), and work inspiration encompasses a positive impact on representative efficiency (β = 0.64, p < 0.001). Work inspiration moreover altogether intercedes the relationship between execution estimation framework and worker efficiency (β = 0.33, p < 0.01). This finding bolsters Self-Determination hypothesis which emphasizes the significance of satisfying mental must  increment natural inspiration. Show approval through the goodness-of-fit test appeared a great fit with the observational information (Chi-Square/df = 2.15, RMSEA = 0.06, CFI = 0.95, TLI = 0.93). For all intents and purposes, this ponder suggests an moved forward execution estimation framework that's  more transparent and reasonable to extend worker inspiration and efficiency. The investigate suggestions give hypothetical and commonsense commitments to the advancement of execution administration within the military and comparative organizations.

The supply chain is crucial to company operations, especially in the poultry farming industry, to ensure the availability of quality feed. PT X, located in Kintamani, faces challenges in its supply chain due to the long distance from its main supplier, PT Sreeya Sewu. This has led to high logistics costs and risks of delivery delays, which impact the company’s operational efficiency. This study aims to assist PT X in selecting the best supplier using the Analytical Hierarchy Process (AHP) method and the Super Decision application. With five criteria and 15 sub-criteria, the results show that UD Tunas Harapan is the best supplier, excelling in nine sub-criteria.  

GoSend as an instant delivery service from Gojek plays an important role in meeting the demand for fast and reliable delivery. However, there are still challenges in terms of service quality, customer satisfaction, and competitiveness in the digital logistics industry. This study analyzes GoSend's electronic service quality attributes using the Kano Model to identify the factors that most influence customer satisfaction. The quantitative method is applied through a survey of 206 GoSend users in Semarang, with the integration of E-Servqual indicators and Kano Model attributes. The results of the study show that most service attributes fall into the "Indifferent" category, meaning they do not have a significant effect on customer satisfaction. However, attributes such as transaction data security and item conditions fall into the "One-Dimensional" category, so improvements in these aspects can increase customer satisfaction. The analysis of the Extent of Satisfaction (EOS) and Extent of Dissatisfaction (EOD) shows that responsiveness to complaints and service personalization still need to be improved. Based on these findings, strategic recommendations that can be given are increasing customer service responsiveness, optimizing compensation policies, and strengthening security systems to increase customer trust. The integration of the Kano Model with E-Servqual provides a comprehensive evaluation of the quality of digital logistics services while also being a guide for GoSend in increasing customer satisfaction and loyalty amidst increasingly fierce competition.

MotoGP is an international motorcycle racing event that attracts global attention and impacts various sectors, including the logistics sector. One important aspect of the MotoGP event is temporary imports, such as motorcycles, spare parts, and supporting equipment. This study aims to explore how to handle temporary imports using ATA Carnet in MotoGP cargo imports and identify challenges and solutions during the MotoGP cargo handling process. The method used is qualitative, with primary data obtained through observations and interviews, and secondary data from written sources, films, images, and monumental works. The data analysis techniques applied include data reduction, data presentation, and drawing conclusions, with data validity tested using triangulation techniques and sources. The study results show that handling MotoGP cargo with temporary import status differs from general cargo, as it involves customs procedures and requires special documents such as ATA Carnet, Customs Notification of Special Economic Zones (PPKEK), and Temporary Import Permits for exemption from entry fees. The handling process must be performed quickly to save time, given the limited period for temporary imports before re-export. However, Customs personnel still face challenges related to the attachment of customs seals, so the company needs to evaluate the recruitment and training processes of workers. The solution is coordination between PT. Angkasa Pura Logistics and Customs for the addition of officers.

MotoGP is a world-class motorcycle racing event involving participation from various countries around the world. In its implementation, it is necessary to import spare parts, vehicles, team equipment, and other technical equipment to circuits around the world, including Mandalika, Indonesia. This temporary import status makes MotoGP logistics require important documents, such as ATA Carnet and Customs Notification of Special Economic Zones (PPKEK) so that the goods can enter the Customs Area without being subject to customs and excise. This research method uses a qualitative method with a descriptive approach because it aims to understand in depth the process of handling MotoGP import cargo, especially related to the use of ATA Carnet documents and Customs Notification of Special Economic Zones (PPKEK) in the Mandalika Special Economic Zone. The results of this study indicate that the use of customs documents, such as ATA Carnet and Special Economic Zone Customs Notification (PPKEK) is used depending on the needs of each user who wants the entry of MotoGP logistics into Indonesia to be exempted from customs and excise so that these two documents become important instruments in implementing the temporary import status scheme for MotoGP logistics so that it can facilitate the handling process at Zainuddin Abdul Madjid International Airport to distribution to the Mandalika Special Economic Zone (KEK). The conclusion of this study is that with the existence of two customs mechanisms, namely ATA Carnet and Special Economic Zone Customs Notification (PPKEK), as well as the role of PT. Angkasa Pura Logistik in handling the flow of goods at the airport, the smoothness of MotoGP logistics is more guaranteed.