Publication Search

This research aims to optimize the distribution of goods through the application of transportation methods at UD Kurnia Jaya. The main problem faced is how to minimize transportation costs in delivering rice to various agents. The Northwest Corner (NWC) method is used for the initial solution in processing supply and demand data. The results of the study show that the total minimum cost obtained for rice delivery is Rp 1,480,000 in one transportation. This study underscores the importance of applying transportation methods to improve distribution cost efficiency. It is hoped that this result can be a reference for MSMEs in managing logistics and increasing competitiveness through more optimal distribution management

The optimization of distribution costs from the Koe Bluder factory to various branches is the problem in this study, which aims to minimize total delivery costs and maintain service quality and time efficiency. In the context of the food industry, especially the increasingly popular bluder cake, effective distribution management is crucial to meet customer demand without increasing operational costs. This study uses transportation methods to analyze and optimize the distribution process, which includes determining the initial allocation and identifying factors that affect transportation costs. The approaches used include the North West Corner (NWC) and Modified Distribution Method (MODI) methods to allocate and minimize shipping costs. The analysis results show that a total transportation cost of Rp 124.825,000 can be achieved using both methods. This research highlights the importance of efficient distribution planning in improving operational efficiency and customer satisfaction, with an emphasis on reducing costs without sacrificing service quality

Toko Liv Beauty is one of the business players in the beauty sector that is developing in North Sumatra, specifically in the West Binjai sub-district, Binjai City. As a store that provides various beauty products, this research aims to assist Toko Liv Beauty in determining a strategic location for opening a new branch using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method was chosen for its ability to analyze alternatives based on positive and negative ideal solutions objectively. A case study was conducted at three potential locations in Binjai: Binjai City, Binjai South, and Binjai North, considering five main criteria: population density, ease of transportation access, number of competitors, rental costs, and building area. The analysis process involves normalizing the decision matrix, calculating weighted values, identifying ideal solutions, and determining alternative preferences. The analysis results show that the location with the highest preference is Binjai North (1), followed by Binjai South (0.5885) and Binjai City (0). Thus, Binjai North is recommended as a strategic location for opening a new branch of Toko Liv Beauty. The implementation of the TOPSIS method in this research is expected to contribute to more effective data-driven decision-making for the business development of Toko Liv Beauty.

:Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

This study explains about transportation methods which are part of operations research and involve minimizing costs from source to destination. Solving transportation problems in this case uses an applied method approach. The application integrated into field research is that researchers are directly in the company environment to collect data that will be applied in this study. The purpose of this study is to determine the results of product distribution calculations. The results of this study are that the most expensive product distribution calculation is at 500,000. Meanwhile, the results of the most expensive product distribution calculation are at 100,000. Cost optimization has an impact on the level of cost efficiency incurred by UD Manunggal Jaya.

This study aims to optimize transportation costs at CV Herba Sedunia by applying the Vogel's Approximation Method (VAM). The research data include shipping costs, supply, and demand from two warehouses to five distribution regions: East Java, Central Java, West Java, DIY & Banten, and Outside Java. VAM was employed to determine an efficient initial solution for distributing 1,250 product units, resulting in a total transportation cost of IDR 18,150,000. The shipping allocation was designed based on a combination of the lowest shipping costs and warehouse supply capacity, maximizing distribution efficiency. This study demonstrates that mathematical approaches like VAM can significantly reduce operational costs while providing strategic flexibility to adapt to changes in costs or demand.

The fluctuation of fuel prices (BBM) significantly impacts the national economy and public purchasing power. This study examines the dynamic relationship between fuel price adjustments, economic growth, inflation, and the socioeconomic conditions of society. The findings reveal that an increase in fuel prices often triggers a domino effect, including rising transportation and production costs, ultimately affecting consumer prices and reducing purchasing power. Conversely, the decline in fuel prices provides a short-term boost to public spending but may challenge government revenue if fuel subsidies increase. Policy recommendations include balancing fuel price adjustments with measures to protect vulnerable groups and maintain economic stability.

Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

Coffee is an important commodity in Indonesia with high economic value. In Ulu Belu District, coffee distribution through long channels causes high distribution costs, so supply chain management (SCM) is needed to improve efficiency. This study aims to measure the cost efficiency and effectiveness of coffee distribution using qualitative descriptive analysis method. The results showed that coffee marketing efficiency in Channel I amounted to 11.98%, and Channel II amounted to 11.92%, both classified as efficient. Delivery accuracy was also high, with Channel I reaching 98.89%, while Channel II was 85.83%. Channel II is more cost-effective despite Channel I being more effective in delivery. Cost-efficiency is important because coffee is a perishable product, and weather-related delays are rare. Channel I, which involves many members, increases distribution costs, so Channel II is recommended for optimal efficiency. It is suggested that improvements to transportation infrastructure, road access, and storage facilities at trader locations can increase distribution efficiency, maintain coffee quality, and reduce losses.

The web-based land transportation management system is a modern solution for managing transportation operations by utilizing web technology to facilitate monitoring, scheduling, and optimization of fleet usage. This study aims to analyze the strengths, weaknesses, opportunities, and threats in the implementation of a web-based land transportation management system using SWOT analysis. The results of this study are expected to serve as a guide for companies or transportation management agencies in designing and developing efficient and effective systems. Although there are several challenges, such as dependency on stable internet infrastructure and relatively high implementation costs, the potential benefits, such as increased operational efficiency, cost reduction, and improved customer service quality, make this system highly relevant and have strong prospects for application in the land transportation industry.

The Suez Canal has played a significant role in assisting and expediting the delivery of heavy goods on cargo ships from Asia to Europe, accommodating 12 percent of total global trade. The Suez Canal is a very important source of foreign currency for Egypt, a country that is still grappling with a variety of long-standing economic problems. Since October 2023, Yemen's Houthi group has been targeting ships in the Red Sea that it claims are connected to Israel in solidarity with Palestinians facing Israeli attacks in the Gaza Strip. This ongoing tension in the Red Sea not only impacts the Suez Canal, but also the maritime transportation market, trade movements, and international supply chains, as taking alternative routes means increasing shipping time and operating costs. Despite its important role as an international shipping lane, The Suez Canal has experienced a decline in status on the global stage due to various geopolitical events and economic crises that have occurred. This study aims to analyze the reciprocal relationship between international market dynamics and the strategic role of the Suez Canal. The chapter begins with an analysis of the impact of the Palestinian-Israeli conflict on international trade flows through the Suez Canal, followed by a discussion of the impact of the global economic crisis and conflict mitigation efforts on maritime security of shipping traffic. Finally, this chapter provides solutions that can be offered from the perspective of maritime security theory and international conflict theory.

This research is a quantitative descriptive study with an instrument in the form of a questionnaire. Data analysis was carried out in two ways, quantitative data was analyzed by non-parametric statistics and qualitative data was classified through coding. The population and sample of this study were all 12 teachers. The results showed that (1) all teachers at SDN Kepanjen 01 Kepanjen District, Malang Regency carried out WFH according to the Government Circular Letter, namely the learning planning stage: using it for making lesson plans and discussing with fellow teachers; stages of the learning process: using google forms and WA for student attendance, zoom for delivering material, WA for giving and collecting assignments, youtube and the web for learning media; and the learning evaluation stage: using google forms for PH or PTS and gadgets to correct student evaluation results. (2) The implementation of WFH at SDN Kepanjen 01 encountered various obstacles. (3) Obstacles during WFH are categorized into obstacles in gadgets, internet, material understanding, finance, communication, and level of focus. (4) The solution to the problems experienced is adjusted to the situation and condition of teachers and students' families at SDN Kepanjen 01 so that WFH and BDR can still run optimally. (5) WFH has a positive impact, namely creating a feeling of security because it avoids the spread of covid-19, has more free time, is free to determine work schedules, and automatically reduces transportation costs. While the negative impact is that teachers experience boredom, reduced interaction with colleagues, lowers the quality of performance results, and is addicted to social media. The researcher's suggestions for teachers are that teachers should (1) implement whatever policies have been set by the Principal with full responsibility and enthusiasm; (2) discuss all the obstacles that arise during WFH with the Principal and fellow teachers in order to obtain the most appropriate solution; (3) always teach students to apply health protocols at home; and (4) although WFH has a negative impact, teachers must be able to overcome it in various ways so as not to affect the quality of learning for students.

Public transportation has many benefits. However, currently public transportation has not been able to survive in providing its services. Prices and financing are at the heart of the problem of developing public transport. The initial effort to revive public transportation is to find out the ability and willingness of the community to pay for public transportation and compare it to the operational costs incurred by service providers in running their business. The ability to pay is known as Ability to Pay (ATP) and Willingness to Pay (WTP) is explored through analysis of questionnaire data collected using Accidental Simple Random Sampling from the people of Bandar Lampung City aged between 15 and 65 years. The results of the analysis show that the ATP (Rp. 2,824.27/km) and WTP (1,970.92/km) of the people of Bandar Lampung City are still above the applicable tariff (Rp. 300.00/km). Vehicle Operational Costs (BOK) for public transportation cannot yet be covered by fare revenues obtained with an average loading factor (16.45%). For a loading factor of 70%, according to World Bank standards, a tariff of IDR is required Rp 710.23/km to cover vehicle operating costs.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

The infrastructure, utilities and transportation sectors play an important role in a country's economy. Profitability is a key indicator in assessing the performance of companies in this sector. However, achieving profitability is faced with various challenges, including large capital investments, high operating costs, strict government regulations, and changes in global economic conditions. This study uses a literature study method to analyze the factors that affect the profitability of companies in the infrastructure, utilities, and transportation sectors. The results of the analysis show that financial factors, operational efficiency, technology, regulations, and external conditions such as market demand and global energy prices play a significant role in determining the level of profitability. Companies that are able to manage their capital structure, utilize technology, and adapt to regulations and dynamic economic conditions have a great opportunity to improve their financial performance. This study provides in-depth insights into how companies can manage internal and external factors to achieve sustainable profitability.  

Waste is a serious problem in Indonesia, including in Medan Belawan Regency. The Waste Bank Program is presented as a solution for waste management and community economic empowerment. This study aims to determine the role of the Waste Bank in community income. The research method used is descriptive statistics presented in the form of frequency distribution tables, histograms, steam and leaf (stem and leaf diagrams) or box plots (box line diagrams). Data collection was carried out through interviews, questionnaires and observations. The data analysis technique used is statistical analysis. The Waste Bank Program in Medan Belawan Regency has provided economic, social and environmental benefits. Economic benefits include increasing community income, creating jobs, and saving waste transportation costs. Social benefits include increasing public awareness of the importance of good waste management, and increasing public concern for the environment. Environmental benefits include reducing rubber production, reducing environmental pollution, and preserving natural resources. The Waste Bank Program in Medan Belawan Regency is one example of the application of an effective and sustainable green economy concept. This program can be a model for other waste management programs in Indonesia.

This research investigates the multifaceted factors influencing Indonesian sea transportation subsidy policies and their impact on regional economic growth. Through a comprehensive literature review and empirical analysis, the study identifies key drivers such as political stability, regulatory efficiency, economic conditions, infrastructure development, and policy implementation mechanisms. Political stability was found crucial for ensuring policy consistency and investor confidence, while efficient regulatory frameworks streamlined subsidy allocations. Economic fluctuations, both global and domestic, significantly influenced resource allocations, underscoring the need for adaptive economic policies. Infrastructure investments emerged as pivotal in enhancing logistics efficiency and reducing operational costs, essential for fostering regional economic competitiveness. Effective policy implementation through transparency, accountability, and monitoring mechanisms was critical in maximizing socio-economic benefits. The findings underscore the importance of integrated policy approaches to address complex challenges and leverage opportunities for sustainable economic development in Indonesia's maritime sector.

Garbage is a serious problem in Indonesia, including in Medan Belawan District. The Rubbish Bank Program is present as a solution for Rubbish management and economic empowerment of the community. This research aims to analyze the concept of green economy through the Rubbish Bank program in Medan Belawan District.The research method used is qualitatively descriptive with a case study approach. Data is collected through observation, interview, and documentation. The data analysis technique used is thematic analysis. The Rubbish Bank Program in Medan Belawan District has provided economic, social, and environmental benefits. Economic benefits include increased community income, job creation, and savings in Rubbish transportation costs. Social benefits include increasing public awareness about the importance of good Rubbish management, and increasing public concern for the environment. Environmental benefits include reducing Rubbish generation, reducing environmental pollution, and preserving natural resources. The Rubbish Bank Program in Medan Belawan District is an example of the implementation of an effective and sustainable green economy concept. This program can be a model for other Rubbish management programs in Indonesia.

Daily human activities, either directly or indirectly, produce waste, both in the form of organic waste and non-organic waste. Rengat City People's Market is a place that has quite large potential in producing waste. The increasing activity of the Rengat City People's Market has resulted in an increase in the amount of waste that must be managed. The amount of waste will affect the amount of vehicle operational costs incurred, so it is necessary to calculate vehicle operational costs by considering the traffic conditions involved and also the transportation time. Vehicle operating costs (BOK) are calculated using the PCI (Pacific Consultants International) method. The distance covered by the arm roll vehicle is 32.6 km/day and the travel time is 1.1 hours at a speed of 29.64 km/hour. Based on the results and discussion of the research, it can be concluded that the cost of transporting Rengat City public market waste using arm roll vehicles is IDR. 21,042.20/m3, in a day the total cost of transporting waste is 168,337.57/day.  

Working capital is to finance the company's daily operations, such as paying salaries, buying raw materials, paying transportation, paying debts, paying electricity accounts, and paying other costs. The purpose of this study is to analyze the behavior of data on profitability, liquidity, and leverage variables on working capital. Quantitative methods emphasize aspects of measurement and calculation. The manufacturing company used a research method, namely purposive sampling. The data used is secondary data sourced from the statement of financial position and profit and loss in the company's annual report. This study was conducted to determine whether each independent variable affects the dependent variable. The results of this study indicate that Profitability, Liquidity, and Leverage together (simultaneously) have a significant effect on Working Capital. Based on the results of partial panel data analysis, the Profitability variable has a negative effect on Working Capital. The Liquidity variable has a positive and significant effect on Working Capital. Leverage variable has a negative effect on Working Capital.