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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.  

The purpose of this study was to determine the application of good governance principles in the management of special financial assistance funds, which were analyzed through four aspects, namely accountability, participation, transparency and effectiveness & efficiency of the community and all village government officials.The research was conducted in West Wolwal Village, West Alor District, Alor Regency using a qualitative method with an intrinsic case study approach. The data in this study came from structured interviews, observation,documentation with informants who were used as research subjects. Processing research data by analyzing data using data reduction techniques, presenting data, and drawing conclusions and verification.The findings in this study show that the management of special financial assistance funds in West Wolwal Village has been in accordance with the management mechanism in accordance with the Alor Regent Regulation No. 08 of 2020 concerning changes to the Alor Regent Regulation No.24 of 2018. However, in the analysis of good governance principles, it was found that the principle of accountability was in accordance with the principles of good governance, while the principles of participation, transparency and effectiveness & efficiency were not optimally implemented according to the principles of good governance in Wolwal Barat Village.

As cloud computing advances, organizations' IT infrastructure and application deployment processes are moving to the cloud because cloud computing provides everything as a service over the Internet. The performance of a cloud-based application is based on proper datacenter selection and workload distribution within the selected datacenter. Service broker policies are used for suitable datacenter selection, and load balancing algorithms(LBA) are applied to distribute workloads. This paper is to evaluate the effect of a proposed service broker policy (PSBR) on the performance of cloud-based applications with LBA. To achieve the objective, the behavior of the TikTok application was modeled using the worldwide users’ statistics on the cloud simulation framework, namely CloudAnalyst. As a result, the average response time and data center processing time are measured. Next, the PSBR provides better results than the existing service proximity-based policy. This paper supports cloud service providers' benefits, from coordination between data center configuration, data center selection, and workload distribution to cloud users' identification of the appropriate procedures for their organization or application. PSBR with Active Monitoring had the best average response time of 75.1 ms, while SPR consistently exhibited higher average times across all algorithms, with the highest being 84.5 ms for Round Robin. Under the PSBR policy, Throttled had the lowest average processing time (4.67), while Round Robin had the highest (5.72). Similarly, under the SPR policy, Throttled maintained its efficiency with the lowest average (4.8), while Round Robin showed the highest (5.79).

Rainfall monitoring is an important aspect of meteorology and water resources management. The development of a microcontroller-based rainfall monitoring device that can transmit data in real-time through the Telegram application offers an effective and efficient solution to overcome the constraints of manual monitoring. This research aims to design and build a rainfall monitoring system that uses a microcontroller as the main controller and the Twilio platform as a data transmission service via Telegram. This tool is designed to measure rainfall intensity using a hall effect sensor, which is then processed by a microcontroller. The rainfall data obtained will be sent to the user's device via Telegram message. This system is expected to provide accurate and timely information to users, so that it can be used in various applications such as agriculture, flood monitoring, and water resource management. The test results show that this rainfall monitoring tool is able to send data quickly, this tool is expected to increase efficiency and effectiveness in rainfall monitoring and make a significant contribution in the field of meteorology and environmental management.

The Indonesian Fisheries Workers and Seafarers Union (KP3I) has a significant role to play in improving the human resource competence (HRM) of the crew of domestic fishing vessels. This article examines the various challenges faced by fishing crews, including lack of training and education, inadequate working conditions, and economic and social uncertainty. KP3I plays a role through the conduct of comprehensive training and education programmes, advocacy and protection of labour rights, as well as collaboration with governments and related agencies. Case studies show that the program has successfully improved the efficiency and well-being of workers, which contributes to increased productivity and competitiveness of the national fishing industry.Strategic recommendations for sustainable competence development include support from governments and the private sector, as well as the promotion of education and training.

The shipping industry is closely related to economic growth in various countries. This transportation is very dependent on export and import activities. As the country's economy improves, especially in Asia, the maritime transportation business in Indonesia will also develop. The pattern of sending goods via sea transportation has changed, especially in terms of bulk transportation. which demands modern technology such as automation and intelligent control systems. This research aims to design and develop Android-based spreader control using Arduino Mega 2560 on a floating ship. This project is designed to increase efficiency and ease of operation in the loading and unloading process on ships, which previously still used manual control with a remote control or joystick which had limitations such as limited visibility. In this research, the spreader control system is connected to an Arduino Mega 2560 microcontroller via the HC-05 Bluetooth module, allowing the operator to control the spreader via an Android device. Test results show that data is obtained at a distance of 1 to 13 meters, the Android-based spreader control system shows a response time ranging from 1 to 9 seconds, which shows that the system is functioning properly. At a distance of 14 to 19 meters, the response time increases to 18 seconds, indicating quite good system performance. This shows that there is quite significant latency in data transmission. However, the system still managed to carry out spreader control well. At 20 meters, the system failed to respond to the spreader control. This shows that the effective range of this Bluetooth module is below 15 meters. This research makes a significant contribution to the development of automatic control technology in the shipping industry, especially in the use of intelligent control systems integrated with mobile devices.

It should be realized that the reality of the 21st century phenomenon in terms of the development of science and technology is absolutely necessary to be able to compete in the global world. In the development of technology and the development of human resources, Islamic propagation institutions are very important to be carried out in improving the abilities and skills of members of Islamic propagation institutions. In increasing the efficiency and productivity of Islamic propagation, the role of the government is very important in providing financial support and policies that facilitate the development of Islamic propagation technology. The method in this study uses a literature study with research results showing that the development of reliable and skilled human resources in technology is also very necessary to improve practical skills and overcome the challenge of the lack of skilled human resources in technology. Well-planned human resource development will produce quality output, so that it can increase work productivity and can prepare employees who are effective and efficient in carrying out their work.      

Community Service (KKN) in Perkebunan Maryke Village, Kutambaru District, Langkat Regency, was carried out by students of the Muhammadiyah University of North Sumatra from 12 to 27 August 2024. This program aims to improve the financial literacy of the community and optimize the potential of the broomstick MSME which is the main source of income for village residents. Through MSME mentoring activities, students conduct value chain analysis to improve production efficiency, product innovation, and more effective marketing strategies. This mentoring aims to increase the competitiveness of MSMEs and shorten distribution channels to a wider market. In addition, the financial literacy program in collaboration with Bank Sumut is also provided through workshops to teach the community, especially the younger generation, about the importance of saving, financial planning, and personal budget management. The results of this activity show an increase in community understanding of financial literacy and MSME management, as well as the creation of new innovations in broomstick products. This activity not only has an impact on increasing residents' income, but also strengthens social cohesion and sustainable village economic development. This program is expected to be a model for community empowerment in other rural areas.

This study aims to identify the marketing channels of spring onions and analyze the efficiency of spring onion marketing in the research area. The population in this study were all farmers in Linonggasai Village, Wonggeduku Barat District, Konawe Regency who grow spring onions and marketing institutions, namely 10 farmers, 4 collectors and 5 retailers, farmer samples were taken by census and trader samples used the snowball sampling method. Based on the results of field research, it can be concluded that; the marketing channels for spring onions in this research area are farmers to collectors to retailers and then to consumers. The margin obtained by collectors is IDR 10,000 / kg with a profit of IDR 8,500 / kg. While the margin obtained by retailers is IDR 10,000 / kg with a profit of IDR 8,900 / kg. The efficiency value of the spring onion marketing channel in the research area is efficient with a marketing efficiency level obtained by collectors of 2.5% and retailers of 1.5%, and the farmer share received by farmers is 72%.

The scheduling and resource allocation procedure is an essential component of cloud resource management. Effective resource allocation is severely hampered by the task arrival rates' erratic and unclear behavior. To prevent under or overusing resources, an effective scheduling strategy is necessary. To improve scheduling and allocation performance, a multi-objective optimization technique is presented for the best resource allocation and task scheduling inside scientific workflow datasets in a heterogeneous environment. In the first stage, the system calculates four key metrics: Communication Cost, Computation Cost, Earliest Finished Time on a particular VM, and Total Task Length for a specific scientific workflow dataset. These metrics provide a comprehensive understanding of the resource requirements and help make informed scheduling decisions. In the second stage, tasks are clustered using the K-Means clustering algorithm. This clustering groups similar tasks together, making managing and scheduling them easier. In the third stage, the proposed resource allocation algorithm allocates the clustered tasks to the appropriate VMs. This step ensures that the tasks are assigned to the best-suited resources, optimizing the overall system performance and resource utilization. By following this multi-stage process, the system aims to achieve optimal resource allocation and task scheduling, thereby improving the efficiency and effectiveness of cloud resource management. The proposed method significantly outperforms PSO, CSO, and GWO by consistently achieving lower Makespan—under 400 units at 50 tasks—while maintaining high resource utilization rates above 0.75, demonstrating superior efficiency in task execution and resource management.

The importance of innovation in waste management is increasingly felt in this modern era. This research introduces an automated waste handling system utilizing Arduino Uno-based sensors. Arduino Uno, as a versatile microcontroller, is employed to control the automation process in waste bins. Integrated ultrasonic and load cell sensors assist in identifying the presence of individuals disposing of trash and monitoring the weight of the waste, triggering the automatic disposal mechanism. This implementation not only enhances the efficiency of waste management but also provides convenience for sanitation workers. The study details the design, implementation, and performance evaluation of the automated waste bin system, showcasing the potential utilization of Arduino Uno technology in creating intelligent and sustainable solutions for waste management.

This service aims to assist Micro, Small and Medium Enterprises (MSME) traders in increasing sales and managing their finances through the introduction of financial technology (fintech) and the utilization of the Facebook Marketplace e-commerce platform. This service was carried out in response to the challenges faced by MSMEs in the digital era, especially in the aspects of increasing sales and efficiency of financial management. This service activity involves direct training and assistance to MSME players in Wanayasa District, Banjarnegara Regency. The stages of training activities include 1) survey 2) training and mentoring 3) results and evaluation. This training activity is an introduction to the basics of fintech, how to access and utilize fintech services for financial management, as well as marketing and sales strategies through Facebook Marketplace. The results of this activity show an increase in the ability of MSME traders to use fintech to better manage their finances, including in terms of transaction recording, cash flow management, and access to digital financial services. In addition, the merchants also succeeded in increasing the visibility and sales of their products through Facebook Marketplace.Thus, the introduction of fintech and the utilization of Facebook Marketplace are proven to support the optimization of sales and financial management of MSMEs.

This qualitative literature review explores the role of organizational capital in enhancing firm performance through inventory efficiency. The study finds that organizational capital positively impacts inventory efficiency by fostering innovation, improving stakeholder orientation, and reducing financial constraints. It also strengthens the relationship between inventory efficiency and firm performance, suggesting that investment in organizational capital can lead to significant competitive advantages. However, the review highlights limitations, including a focus on US-based firms and a lack of exploration into specific elements of organizational capital, such as organizational culture and leadership styles. These findings underscore the need for further empirical research across diverse international contexts to deepen the understanding of organizational capital's impact on inventory management

PT XYZ, which aims to optimize the production process of Airbus A350 aircraft wing components. The background of this research focuses on the importance of efficiency and effectiveness in the aviation industry, where each component must be produced to high standards to ensure aircraft safety and performance. In order to achieve this goal, the author applies several methods for completing the task, including system modeling and Interpretive Structural Modeling (ISM). This method allows for in-depth analysis of the structure and relationships between elements in the production system. Data processing is carried out through four main stages: model concept design, data collection, analysis, and evaluation. The raw data used includes the company layout and wing component production flow. The results of this data processing provide significant insights into potential improvements in the existing production system, as well as recommendations for improving operational efficiency. Thus, this report not only contributes to the development of knowledge in the field of systems engineering, but also provides practical advice for PT XYZ to improve their production performance.

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.

The implementation of MYOB Accounting at the Blue Campus Prosperous Employee Cooperative is a strategic step to increase efficiency and accuracy in financial management. Previously, this cooperative used a manual system which was prone to errors and took time in the process of recording transactions. By switching to MYOB Accounting, cooperatives can automate various financial processes, from recording daily transactions to monthly financial reports. This implementation not only speeds up the administrative process, but also increases the transparency and accountability of financial reports. As a result, the Biru Sejahtera Campus Employee Cooperative has experienced an increase in data-based decision making, as well as making it easier for members to access financial information. It is hoped that the implementation of this software-based accounting system can become a model for other cooperatives in improving financial management professionally and efficiently.

The implementation of the efficiency policy of affirmation policy in Indonesia provides room for 30% of the number of women legislative candidates who are advancing at the regional and central levels. The policy is realized in the regulation of political contestation in Law No. 7 of 2017 concerning elections. The KPU and political parties must be able to ensure that the fulfillment of this regulation takes place for the sake of fair elections. However, the existence of this Law does not necessarily make women's representation pass the Legislative general election. This research is an empirical research, namely field research in this case using primary data and secondary data. Primary data was obtained from the results of interviews with respondents. Secondary data is obtained from books, laws and regulations, and the internet. The results of this study show that 1) Women's representation in the legislative general election in East Manggarai district in 2019 has met the 30% quota, but only 1 person from 157 female legislative candidates has qualified to become a legislative member. 2) Factors that inhibit women's representation in the legislature are legal structure, legal substance and legal culture.  

Fraud and money laundering are two forms of economic crime that harm many parties, both individuals and institutions. In order to combat and eradicate these crimes, law enforcement authorities often face difficulties in securing and recovering assets obtained from illegal activities. Therefore, the use of asset confiscation mechanisms becomes crucial in an effort to restitute victims and recover illicitly obtained funds.This thesis examines the practical legal challenges faced by the legal system in confiscating criminal assets. These include the process of investigation and gathering valid evidence, as well as the challenges of dealing with concealment and diversion of assets by criminals. Limited resources and differences in legal systems between countries are also factors that affect effective asset forfeiture.Next, the author reviews various strategies and policies that can be implemented to improve the efficiency of confiscating criminal assets. The main focus includes increased cooperation between law enforcement agencies, the use of modern technology in asset analysis and tracking, as well as efforts to raise public awareness about the importance of returning illegally obtained assets.Finally, the author presents decision Number: 1221/Pid.B/2020/PN JKT.SEL or a successful case in conducting asset confiscation for fraud and money laundering. These cases provide valuable lessons on effective tactics and strategies in facing the challenges of economic crime.In conclusion, asset forfeiture is an important tool in the fight against fraud and money laundering. Through greater international cooperation, improved legal systems, and the implementation of appropriate strategies, it is hoped that asset recovery efforts related to economic crime can become more successful and have a positive impact on victims and society as a whole.  

Corn is one of the most important commodities in, Konawe Regency Southeast Sulawasi. Corn is included in the strategic food group whose demand continues to increase every year. Even though corn production in Southeast Sulawasi, Konawe Regency continues to increase, it cannot meet demand, which ultimately forces the government to import corn. This research was carried out in Nario Indah Village, Wawotobi District, Konawe Regency. The population of this study consisted of 25 people. The sample was taken by census as many as 25 people. The aim of this research is to analyze the economic scale, revenue, costs and income as well as the efficiency of production inputs in sweet corn farming in Nario Indah Village, Wawotobi District, Konawe Regency. The research results show that the economic scale of sweet corn farming in Nario Indah Village, Wawotobi District, Konawe Regency is in a condition of Increasing Return to Scale. Receipts amounting to Rp. 19,982,820/ Ha, cost of Rp. 9,779,086/Ha, and the income from sweet corn farming in Nario Indah Village, Wawotobi District, Konawe Regency is Rp. 10,203,734/Ha. The production inputs for land area, labor, herbicides show that they are inefficient, while the production inputs for seeds, urea and insecticides show that they are not efficient in sweet corn farming in Nario Indah Village, Wawotobi District, Konawe Regency.

This qualitative literature review explores "Dynamic Workload Adjustment in Condition-Based Maintenance: A Review of Robust Optimization Approaches for Production Systems." The study synthesizes recent advancements in condition-based maintenance (CBM) frameworks, focusing on the application of robust optimization techniques to enhance production efficiency and maintenance decision-making. The review highlights the importance of dynamic workload adjustment as a crucial strategy for aligning maintenance activities with fluctuating production demands, ultimately aiming to minimize downtime and optimize resource utilization. By analyzing eight key studies in the field, this review identifies the strengths and challenges associated with the implementation of robust optimization models in CBM practices. Key findings indicate that while robust optimization significantly improves maintenance outcomes, challenges remain in terms of complexity, required skill sets, and organizational culture. The review concludes by emphasizing the need for further empirical research and the exploration of hybrid models to fully realize the benefits of dynamic workload adjustment in diverse industrial contexts. This study provides a comprehensive overview that will aid researchers and practitioners in understanding and advancing condition-based maintenance methodologies.