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An Internet of Things (IoT)-based logistics monitoring system is an innovation designed to enhance efficiency, transparency, and speed in supply chain management. The implementation of IoT in logistics provides an ideal solution for real-time monitoring of goods, which was previously difficult with conventional methods. This system integrates IoT sensors such as GPS for location tracking, along with temperature and humidity sensors to monitor goods requiring special attention, such as food and pharmaceuticals. By automating processes through IoT technology, goods distribution becomes faster, reducing reliance on manual controls, speeding up decision-making, and minimising human error. This system enables companies to monitor the condition and location of goods in real-time, offering high visibility into the logistics status. With comprehensive monitoring, companies can proactively address issues and ensure goods remain in optimal condition throughout the shipping process. An IoT-based logistics monitoring system has the potential to enhance a company’s competitiveness through efficiency and accuracy in supply chain management. When effectively implemented, IoT technology can not only improve service quality and customer satisfaction but also strengthen a company’s position in an increasingly competitive market.

This research aims to analyze the influence of company growth, funding decisions and dividend policy on company value. This research was conducted by analyzing the financial reports of companies in the transportation and logistics sector listed on the Indonesia Stock Exchange (BEI) during the period 2018 to 2022. The sample used in this research was 9 technology sector companies listed on the Indonesia Stock Exchange during the period 2018 to 2022 using purposive sampling techniques. The data used in this research is secondary data in the form of financial reports from each company that has been used as a research sample. The variables used in this research are Company Growth (X1) as the first independent variable, Funding Decisions (X2) as the second independent variable, and Dividend Policy (X3) as the third independent variable and Company Value (Y) as the dependent variable. The panel data regression method was used as the research methodology in this study. Analysis of research results using EViews 12 Student Version Lite software. The research results show that the best model is the Fixed Effect Model (FEM). The results of this study show that partial company growth has no effect and is not significant on company value, partial funding decisions have a significant effect on company value, partial dividend policy has no effect and is not significant on company value, and simultaneously company growth and funding decisions and Dividend Policy influences Company Value.

This research critically evaluates the effectiveness of safety education within Indonesian multimodal transportation programs, focusing on promoting a culture of safety among cadets. Qualitative research methods were employed, involving 50 cadets studying various aspects of multimodal transportation, logistics, transportation safety, and law and road management. The study examines the cadets' understanding and application of safety principles, aiming to identify strengths and areas for improvement in safety education. The findings contribute to enhancing safety practices in the Indonesian transportation sector and serve as a foundation for future research and policy development.

JNE is the largest logistics company in Indonesia, this company is a freight forwarding company both domestically and abroad. In its business process JNE has an Outbound unit which is responsible for receiving goods from Sales Counter Official (SCO) agents and branch offices, processing, checking, packaging, and transporting goods to the appropriate destination. The purpose of this study is to determine the effect of Standard Operating Procedures (SOP), supervision, and Information Technology on Employee Performance in the operational management of the JNE Main Branch Medan Outbound unit. This research uses Descriptive Qualitative method in identifying problems. The results in this study state that SOP has a significant effect on Employee Performance because it is an important part of the smooth work process for employees, Supervision and Information Technology also have a significant effect on Employee Performance. Supervision ensures employees work in accordance with SOPs and achieve previously set work targets, and the use of Information Technology in the work process will increase the efficiency and effectiveness of employee work.

This research is quantitative research which aims to determine and test the influence of company size, audit opinion, reputation of public accounting firms and auditor switching. This research uses annual financial report data on transportation and logistics sector companies that are listed on the Indonesia Stock Exchange (BEI) in the 2020-2022 period. Testing this research hypothesis uses logistic regression analysis with the SPSS 26 program with a significance level of 5.5% (0.55). The results of this research test state that partially 1) the audit opinion variable has no effect and has a negative value on auditor switching; 2) the public accounting firm's reputation variable has no effect but has a positive value on auditor switching. 3) auditor reputation has no effect and has a negative value on auditor switching and does not affect the condition of the company.  

PT XYZ is a company based in South Jakarta, focused on providing smart logistics solutions using Logistics Information Systems in its business. Researchers want to measure the influence of Logistics Information Systems on Goods Delivery Efficiency. In this research, the researcher used a quantitative descriptive research method using a questionnaire as a research instrument and distributed it to 15 users of the PT XYZ Logistics Information System using a simple random sampling technique in sampling. Results from this research show a relationship (R) of 0.816. The coefficient of determination (R Square) was obtained at 0.666. The calculated F value = 25.926 with a significance level of 0.001 < 0.05. The constant value (α) is 6.601, while the Logistics Information System variable value (b / regression coefficient) is 0.828. The tcount value is 5.092 > ttable 2.131. This means that there is an influence between the Logistics Information System variable (X) on the Goods Delivery Efficiency variable (Y).

Administrative process optimization is a systematic effort to improve efficiency, productivity, and quality in the execution of administrative tasks within the company, while facilities management and demand for goods and logistics focus on improving operational efficiency and effectiveness, which will apply the WBS method to decompose complex tasks into more manageable components. This analysis is expected to increase visibility, engagement, and understanding of each stage in the administrative, facilities management, and logistics management processes, enabling more targeted and impactful change implementation. Overall, this research is geared towards achieving improved performance and efficiency at PT XYZ through the application of WBS methodology in the context of the company's administration and logistics.    

Administrative process optimization is a systematic effort to improve efficiency, productivity, and quality in the execution of administrative tasks within the company, while facilities management and demand for goods and logistics focus on improving operational efficiency and effectiveness, which will apply the WBS method to decompose complex tasks into more manageable components. This analysis is expected to increase visibility, engagement, and understanding of each stage in the administrative, facilities management, and logistics management processes, enabling more targeted and impactful change implementation. Overall, this research is geared towards achieving improved performance and efficiency at PT X through the application of WBS methodology in the context of the company's administration and logistics

The existence of digital transformation in the development of the world, makes the maritime industry increasingly rely on technology to carry out navigation, communication, and logistics intermediaries. As the maritime industry continues to adopt digitalization and adapt, the need for strategy as well as strengthening cybersecurity becomes critical for the country. The increase in cybercrime and its vulnerabilities should make Indonesia more aggressively address or anticipate this problem. Although it is proven that indonesia in its initiation of a cybersecurity strategy has increased, Indonesia is seen as still lacking to show the nation's commitment in terms of cyber security, when compared to data from NCIS (National Cyber security Index) from 2016-2023 Indonesia is still far below its neighbor, Malaysia, which is also a maritime country. Through a qualitative approach, this article aims to explain the urgency of cybersecurity in the maritime sector, highlighting challenges and solutions to protect ships, ports, and maritime infrastructure from cyber threats in Indonesia.

This research aims to determine the improvement of the logistics ecosystem both from exports and imports at Pelindo Multi Terminal Belawan. Where Pelindo Belawan is the largest port in North Sumatra, however, due to the improvement in the logistics ecosystem, many goods have to transit before arriving at the Belawan Port dock. Apart from that, it can carry out port activities appropriately and maximize aspects of office effectiveness in order to create work comfort and optimal performance for its employees. If employees and service users who work feel comfortable and satisfied then their performance at Pelindo Multi Terminal Belawan will also be good. This study uses a qualitative method.

Since 2004, Indonesians have been granted the opportunity to directly elect their president and vice president, leading to two rounds of elections to select legislative members, as well as the president. In 2019, the Indonesian government made a significant decision to conduct concurrent general elections for both legislative and presidential. This research adopts qualitative research methods and utilizes literature review as its data collection approach. The findings of this study reveal that the simultaneous holding of the 2019 General Election has yielded diverse impacts, primarily stemming from logistical challenges, duplicated data on the voters list, excessive information overload among the public leading to irrational voting decisions, and unfortunate casualties, including the loss of hundreds of election committee officers' lives. Consequently, it highlights the pressing need for the General Election Commission (KPU) to thoroughly evaluate and address these issues while organizing the 2024 elections simultaneously.

In the logistics industry, fresh food transportation requires effective management of driver fatigue to maintain safety and service quality. With the increasing digital connectivity, Internet of Things (IoT) technology has become a promising solution to monitor driver fatigue in real-time. This research aims to design an adaptive IoT-based driver fatigue monitoring system specifically for fresh food transportation. Through a case study in the logistics industry, we identified specific challenges and needs in driver fatigue management. Based on the identification results, we developed a system that utilizes IoT sensors integrated in vehicles and drivers' smartphones. The system automatically monitors the driver's physical condition and behavior and provides real-time alerts if signs of fatigue are detected. With an adaptive approach, the system can customize recommendations and interventions according to the measured fatigue level. The results of the case study show that the designed system is able to reduce the risk of driver fatigue, increase transportation safety, and improve service quality in fresh food transportation. This research contributes to the practical understanding of the implementation of IoT technology in driver fatigue management, particularly in the context of the logistics and fresh food transportation industries.

Waskita Beton Precast is a company engaged in manufacturing. The products produced include Spun Pile diameter up to 1200mm and other girder products. Every company must have Personal Protective Equipment (PPE). Personal Protective Equipment (PPE) is an effort made to protect or prevent the risk of accidents and also as a complete form of other accident prevention efforts. Therefore, logistics management is needed to meet the needs of personal protective equipment in companies. The purpose of this research is to find out the process of obtaining raw materials and knowing inventory control. The method used is descriptive analysis. The results of this study are that companies obtain personal protective equipment from distributors who have worked with the company. PT. Waskita Beton Precast pre-orders personal protective equipment and completes payment so that personal protective equipment can be sent immediately.

As science and technology develop, many things change with the times, everything without the distance of time and space can be accessed anywhere and anytime. Not only with social media in the development of food and logistics technology to reach the stage of a new era that is simpler quickly and precisely by utilizing digitalization to make it easier for someone to transact and create suppy logistics that is useful and on target, namely by using the website method, With this website, safe purchase transactions are fast and appropriate to create a stable food supply. We know that Indonesia still relies on importing rice from outside countries for the food needs of its people, without us knowing that the improvement of the digital system can be able to encouraging food suppliers in Indonesia, with the existence of this website, it is expected to be a bright hope in logistics supply in Indonesia.

The main problem in this research is the management of drugs in the Pharmacy Installation of RSUD Prof. Dr. H. M. Anwar Makkatutu which has not been handled properly. There are various types of pharmaceutical logistics, namely drugs and consumables, many types of incoming drugs and medical equipment, with different delivery times and drug expiration dates, the pharmacy must manage it well, starting from the process of distributing and storing drugs and consumables. from warehouse to depot. The pharmaceutical system that is still manual causes repeated double checks, the data collection of expired drugs is not correct, there is no application that makes it easy for pharmacy officers to check what drugs are about to expire and are about to expire so that it requires a long time and excessive energy. With the above problems, the development of drug management applications through the fifo and fefo methods in SIMRS when receiving, storing and releasing drugs and medical equipment is needed for smooth service in pharmaceutical installations so that officers can work effectively, efficiently, and improve service quality. as well as the economic disadvantages of hospital management can be minimized and produce reports that are faster and more accurate in the management and planning of drug supplies. Pharmacy officers can take advantage of drug management through the fifo and fefo applications based on batch numbers and expiration dates to complete all the shortcomings and weaknesses of the existing SIMRS application in order to maximize services at the Pharmacy Installation. This research is a quasi experimental research to determine the difference in the duration of the use of time and energy before and after using the application. The research was carried out at the pharmacy installation of Prof. Dr. H. M. Hospital. Anwar Makkatutu Bantaeng from August to October 2020.

Globalization becomes inevitable for almost all aspects of life, especially in the industrial sector. Globalization has brought the industry to experience a structural transformation that focuses on technology. The structural transformation experienced by the industrial sector may have positive and negative effects, not only for the industry itself, but for the surrounding communities and the environment. The research method used in this research is initiative descriptive qualitatively by writing observation written, with data in the form of field notes. Technological advances are tested on the areas of the industry, is; Production, Research and Development / Research and Development (R & D), operational management, logistics and supply chain management, finance and accounting, human resources (HR), marketing and sales, information technology (IT), laws and compliance, and customer service

Quantum-Inspired Algorithms (QIAs) combine principles of quantum computing with classical evolutionary strategies to address complex optimization problems. This research explores the potential of QIAs in improving optimization processes, particularly in combinatorial and multi-objective optimization scenarios. The study focuses on the application of Quantum-Inspired Genetic Algorithms (QIGAs) and Quantum-Inspired Evolutionary Algorithms (QIEAs), assessing their effectiveness in solving classical problems like the Traveling Salesman Problem (TSP) and Minimum Spanning Tree (MST). Through computational simulations, the research compares the time convergence and solution accuracy of QIAs against traditional classical algorithms. The findings demonstrate that QIAs achieve faster convergence rates and higher-quality solutions, with accuracy levels reaching 98-99% of the global optimal solutions, while significantly reducing computational time. These results underline the advantages of QIAs in solving large and complex optimization problems, making them a promising alternative to traditional algorithms. Additionally, QIAs excel in avoiding local minima, a common pitfall of classical methods, due to their ability to explore the solution space more efficiently through quantum principles like superposition and interference. The implications of this study suggest that QIAs can be a valuable tool for tackling real-world optimization challenges, with potential applications in fields such as finance, logistics, telecommunications, and energy management. The research also indicates the necessity for further improvements in quantum-inspired algorithms' scalability and hardware integration, particularly for larger, more intricate optimization problems, to fully realize their potential in practical industrial applications.

This study aims to analyze the effect of capital structure and net profit margin on company value in transportation and logistics sub-sector companies with a sample of 21 companies listed on the Indonesian stock exchange using the purposive sampling method and based on the 2018-2021 sampling criteria. Based on the results of statistical analysis, it can be concluded that capital structure has a significant effect on the firm value of the transportation and logistics sector studied. this is proven by using the t test with a significant value of 0.003 > 0.05 and tcount 3.040 > ttable 1.989. so it can be concluded that capital structure has a significant effect on value based on statistical analysis it can be concluded that the net profit margin has no effect on the value of the companies in the transportation and logistics sector being studied. this is proven by using the t test with a significant value of 0.205 > 0.10 and tcount 1.277 < ttable 1.989. conclude that net profit margin has no effect on company value. it can be concluded that capital structure and net profit margin have a significant effect on company value in transportation and logistics sector companies listed on the Indonesia Stock Exchange in 2018-2021, with Fcount is 5.272 > Ftable 3, 11 significant value of 0.007 is smaller than the targeted significant level of 0.05. R Square of 0.115. This means that there is a contribution of 11.5% from the independent variables, namely capital structure (X1) and net profit margin (X2) to firm value (Y). While the remaining 88.5% is contributed or influenced by other variables.    

Analysis of the marketing strategy for Pos Express services at PT. Pos Indonesia (Persero) in South Jakarta is a study that aims to understand and analyze the marketing strategy implemented by PT. Pos Indonesia (Persero) to promote Pos Express services in the South Jakarta area. In this study, an analysis of the market and competitors, market segmentation, targeting and positioning is carried out. The results of this analysis are then used to formulate an appropriate marketing strategy to increase the number of Pos Express subscribers in the South Jakarta area. The results of this study indicate that PT. Pos Indonesia (Persero) has a sizable opportunity to expand the Pos Express service market in South Jakarta by optimizing the use of technology and improving service quality. In addition, PT. Pos Indonesia (Persero) needs to carry out more effective promotions to attract new customers and retain old customers. The marketing strategies recommended in this study include: improving the quality of Pos Express services, offering competitive prices, increasing promotion and branding, optimizing the use of technology and innovation, and improving the quality of customer service. By implementing the right marketing strategy, PT. Pos Indonesia (Persero) is expected to increase market share and maintain its superiority in the courier and logistics industry in Indonesia, especially in the South Jakarta area.

At this time logistics companies have a very important role in everyday life, especially in package delivery. The high level of online shopping is one of the reasons why the role of logistics is very important in our daily lives. Thus, seeing the common problems that occur in the conventional logistics delivery process, we came up with the idea to create an integrated smart locker to be one of the replacements for existing logistics outlets, we hope that with this application we can reduce the company's logistics expenses used in procuring logistics outlets and make it easier for couriers to work in the package delivery process. We created this application using a microservices architecture with the SDLC method used is Agile Dynamic System Development (DSDM). React JS framework as an interface and Express js and Laravel as an application that works behind the interface. The idea that we initiated we raised as a project within the company with the client from the company. In the end, the smart locker program made using the DSDM method has been completed and is ready to be implemented in the company and the client