Publication Search

Administration and management are fundamental concepts in human activity, dating back to creation in Islamic perspective. The Qur'an contains various management principles that emphasize not only efficiency and effectiveness but also the ethical and spiritual values underlying every action. This study aims to explore the concepts of administration and management from the Qur'anic perspective and to apply Qur'anic management principles in everyday life. Using a qualitative-descriptive approach, this research identifies managerial values such as consultation (shura), optimal hard work (itqan), and honesty as guidance for Muslims to achieve a balance between worldly and spiritual goals. In conclusion, Qur'anic-based management not only directs operational success but also yields broad spiritual and social impacts.

This study examines pricing mechanisms in the buffet system at Wisma Tamu Al Ishlah Restaurant from the perspective of Islamic economic justice principles. This research is crucial given the limited studies that analyze buffet pricing practices from an Islamic economic perspective, particularly in a pesantren (Islamic boarding school) environment. This research adopts a qualitative approach with field research methods, utilizing interviews, observations, and documentation for data collection. The findings indicate that the pricing mechanism at Al Ishlah Restaurant employs a cost-based method, setting prices based on raw material costs, capital, operational expenses, and production services, adjusted according to the types of food selected by customers. Generally, the pricing practices at Wisma Tamu Al Ishlah Restaurant align with Islamic economic justice principles, ensuring that no party is disadvantaged and upholding honesty in transactions. Prices are established through mutual agreement between the restaurant and the customer, ensuring fairness. However, price transparency presents a challenge that could affect consumer perceptions. This research contributes to the development of Islamic economic theory in the culinary business context and provides recommendations to enhance justice in buffet pricing..

The analysis of production costs using the full costing method at CV Cielofood Pratama in Bogor aims to set accurate selling prices through comprehensive production cost calculations. This study applied a descriptive case study approach, utilizing primary data from observations and interviews as well as secondary data. The analysis revealed a total monthly production cost of Rp 42,200,000, with a per-unit cost of Rp 15,461.54. These results demonstrate that the full costing method provides a complete overview of all production expenses, aiding management in decision-making related to pricing strategies and operational efficiency. The practical implication of this method can enhance the company's competitiveness in the market.

Energy efficiency has become a critical focus in manufacturing plants due to rising operational costs and increasing environmental concerns. The growing importance of energy management is driven by the need to reduce energy consumption, lower emissions, and enhance overall operational efficiency. Traditional maintenance practices, such as reactive and preventive maintenance, often lead to unnecessary downtime, high repair costs, and inefficient energy usage. In contrast, predictive maintenance (PdM), supported by Internet of Things (IoT)-enabled sensor networks, offers a proactive approach to minimizing energy waste by predicting equipment failures before they occur. This study develops a predictive maintenance framework using IoT-based sensor networks to optimize energy usage and reduce energy losses in manufacturing plants. The research begins with an overview of IoT sensor network architectures and their applications in industrial automation, including sensors such as temperature, vibration, and pressure sensors. It explores predictive analytics techniques, such as machine learning and artificial intelligence, used for failure prediction, which are key to enhancing energy efficiency. The study emphasizes how predictive maintenance contributes to industrial sustainability by reducing carbon footprints and optimizing energy consumption. The research methodology involves the installation of IoT sensors in critical machinery, real-time data analysis using machine learning algorithms for failure prediction, and energy consumption measurement before and after implementing IoT-based interventions. The results show significant improvements in energy consumption efficiency and operational productivity. Predictive maintenance led to reduced unplanned downtime, increased equipment reliability, and a more sustainable manufacturing process. However, challenges such as sensor integration, initial setup costs, and data security concerns were identified. The study concludes with recommendations for integrating IoT-based predictive maintenance systems into manufacturing plants to further optimize energy usage and promote sustainability.

The global clean water crisis is exacerbated by significant losses in water distribution networks (WDNs), resulting in inefficient use of both water and energy resources. Traditional methods of leak detection and pressure management often fail to address these inefficiencies, leading to substantial water wastage and high operational costs. This research aims to design a sustainable, smart water distribution system using advanced technologies such as Machine Learning (ML) for leak detection and automated pressure control. The system employs real-time monitoring through IoT sensors, which continuously gather data on water pressure, flow rates, and other critical parameters. This data is analyzed using various ML algorithms, including supervised and unsupervised learning models, to detect anomalies indicative of leaks. Additionally, the system integrates automated pressure control mechanisms that dynamically adjust pressure to prevent over-pressurization, reducing both water loss and energy consumption. By combining leak detection and pressure control, the proposed system offers a more efficient, sustainable solution to water resource management compared to traditional methods. The expected outcomes include a significant reduction in water loss, enhanced energy efficiency, and improved water service quality. However, the implementation of such a system in rural or small-town infrastructure faces challenges, including sensor maintenance, algorithm reliability, and regulatory issues. A cost-benefit analysis suggests that while the initial investment in smart technologies may be high, the long-term savings in water and energy costs outweigh these costs. This study underscores the potential of ML-based systems in enhancing water conservation, operational efficiency, and sustainability in water management.

This internship program aimed to provide practical experience for students from Universitas Islam Negeri Sumatera Utara in understanding public service management across religious communities and personnel governance within government institutions. The internship took place at the Office of the Ministry of Religious Affairs of Medan City, an institution playing a strategic role in delivering religious services and managing civil servants. The main focus of this study was on cross-religious public services and the implementation of personnel management systems. The findings indicate that the Ministry of Religious Affairs of Medan City applies principles of fairness, tolerance, and professionalism in delivering cross-religious public services, supported by an organized and structured personnel governance system. This internship offers significant benefits to students by enhancing their practical knowledge, administrative skills, and professional attitudes, especially in handling diversity within the public sector. By experiencing the management of public services and personnel governance, students gained valuable insights into the operational challenges and strategies employed in the public administration of religious affairs.

The digitalization of philanthropic da'wah management has brought about a fundamental change in the way da'wah institutions manage philanthropic activities. By using a digital platform, these philanthropic da'wah institutions can reach a wider audience, increase transparency, and strengthen relationships with donors and the general public. However, this digitalization also brings challenges such as intense competition, demands for high professionalism and accountability, and data security risks. The opportunities for digitalization of philanthropic da'wah management include increasing reach and accessibility, operational efficiency, transparency and accountability, innovation in da'wah programs, and improving relationships with donors. Meanwhile, the challenges faced include intense competition, demands for high professionalism and accountability, and data security risks. Therefore, philanthropic da'wah institutions need to have adaptive and innovative strategies to increase the effectiveness and efficiency of philanthropic da'wah activities in the modern era.

This research aims to address the issue of uneven bandwidth distribution in large organizational networks by implementing Quality of Service (QoS) using FIFO and the Hierarchical Token Bucket (HTB) algorithm on Mikrotik routers. Uneven bandwidth distribution can disrupt productivity and operational efficiency. This study creates a fair and efficient traffic management system, allowing bandwidth allocation according to user needs. The methodology involves detailed configuration of Mikrotik RouterOS to optimize QoS with adjusted HTB settings. Testing was conducted using IPerf3 to measure bandwidth variations received by clients in different conditions, including scenarios with two and three active clients. The results indicate that the HTB method provides more stable and consistent bandwidth distribution compared to FIFO. In the two-active client scenario, the unused bandwidth by the third client is allocated to higher priority clients, demonstrating HTB's effectiveness in managing traffic priorities. This research is expected to enhance user satisfaction by providing a network that is both stable and responsive to the needs of various operational applications, and contribute significantly to the development of best practices for bandwidth management in complex organizational environments.

This research aims to design and developing a hydrofluorocarbon (HFC) leak monitoring system in the cold storage cooling system on the Anchor Handling Tug Supply (AHTS) ship by utilizing Internet of Things (IoT) technology. HFC leaks in cooling systems can cause environmental hazards and operational inefficiencies. The proposed system integrates sensors and IoT devices to continuously monitor HFC levels, detect leaks in real-time, and provide instant alerts to crew and management. The system architecture includes sensors for HFC detection, a microcontroller for data processing, and a communication module for data transmission to a central monitoring platform. Real-time data can be accessed through a user-friendly interface, enabling timely intervention and maintenance. Initial testing shows that the system is effective in identifying and reporting HFC leaks, potentially reducing environmental impacts and improving the safety and efficiency of cold storage operations on AHTS vessels. Further development and extensive field testing are planned to refine the system and validate its performance across a wide range of operational conditions.

POAC (Planning, Organizing, Actuating, Controlling) is a management framework used to improve effectiveness in various sectors, including education. In modern education management, the implementation of POAC plays a crucial role in achieving the goals of efficient and quality education. Planning helps set the long-term vision and strategy of the educational institution. Organizing ensures that human and material resources are managed effectively. Actuating involves leadership and motivation to ensure that all parties are active in the educational process. Control is carried out through periodic evaluation and monitoring to ensure the achievement of goals. Research shows that the proper implementation of POAC can improve learning quality, operational efficiency, and student satisfaction. The application of POAC in modern education management is an important strategy in creating educational institutions

This study seeks to examine the role of responsibility accounting in cost control, with a focus on cost centers. Responsibility accounting helps organizations control costs by assigning cost responsibility to each cost center manager. Through this system, costs incurred can be monitored, controlled and reported accurately. This study uses a literature review method from various empirical studies that examine The implementation of responsibility accounting in the responsibility accounting process is underway public and private sectors. The results of this study indicate that the implementation of responsibility accounting is effective in cost centers is able to increase operational efficiency and minimize budget deviations. However, challenges in separating controlled and uncontrolled costs as well as limited organizational structures in some companies are still obstacles to the effectiveness of cost control. This study highlights the importance of cost segregation and active management participation in budgeting to improve cost center performance.

This research explores the transformative impact of digitalization on maritime operations, focusing on emerging technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain. Through qualitative research and descriptive analysis, perspectives from maritime professionals, lecturers, and graduates were examined to understand the integration of these technologies in maritime management, operations, and education. The findings reveal that digital tools significantly enhance operational efficiency, decision-making, and sustainability while highlighting challenges in workforce training and the gap between theoretical knowledge and practical application in maritime education. Despite the benefits, full optimization of these technologies is still developing due to varied adoption levels across the industry. The research emphasizes the need for investment in infrastructure, continuous professional development, and educational reform to fully leverage digitalization in the maritime sector.

This study aims to determine the process of receiving, storing, and distributing dry food ingredients at Harris Hotel & Conventions Bundaran Satelit Surabaya. The research method used is descriptive qualitative, with data collection techniques using observation, documentation, and interviews conducted with three informants consisting of Chef de Partie, Cassual Raguler from the Pastry section, and cold kitchen. The results of this study indicate that the application of FIFO and FEFO has been applied even though the implementation is less consistent. In addition, the management of Bin Cards, especially in terms of recording and updating data, is less consistent. In conclusion, Harris Hotel & Conventions Bundaran Satelit Surabaya has carried out the operational reception of dry food ingredients quite well, but control is needed in the storage and distribution process of ingredients. in this study has several implications for operations at Harris Hotel & Conventions Bundaran Satelit Surabaya. With supervision of the storage and distribution process of food ingredients, it can ensure the quality of ingredients and more optimal operational efficiency, and in stock management it will help minimize the risk of damage to food ingredients.

This study was conducted to examine the functions of data management, data analytics, and business intelligence across various organizational sectors. A literature review was performed to gain a broader understanding of the topic, utilizing research backgrounds from different countries, with ten studies selected for review from multiple sources. The results indicate that efficient data management, combined with robust analytical capabilities and business intelligence tools, is crucial for modern organizations seeking to achieve operational excellence and strategic growth. By implementing the appropriate measures, organizations can maximize the benefits of data management, data analytics, and business intelligence in attaining their strategic objectives.

This research explores the impact of using the application on Micro, Small, and Medium Enterprises (MSMEs) in the city of Semarang in the context of digitalization and the implementation of Artificial Intelligence. (AI). Research data were obtained from a survey of 100 MSME actors and in-depth interviews. The analysis method used is qualitative descriptive. The research results indicate that the application can potentially enhance MSMEs' operational and marketing efficiency through a digital system. However, it still faces the challenge of low digital literacy among MSME actors. The discussion shows that this innovation can improve the competitiveness of business actors in the digital era, especially in understanding consumer behavior and logistics management. The research conclusion emphasizes that implementing the application can be a solution to increase MSME income, help them adapt to market changes, and effectively utilize digital technology.

The purpose of this activity is as an effort to improve the volleyball skills of students and teachers throughout Kuantan Tengah District, the time and place of implementation is Wednesday, August 14 2024, 08.00-12.00 WIB and located at the volleyball hall of SDN 020 Pulau Godang Kari as the host. House. Event Management is the process of planning, organizing and implementing events with the aim of creating a memorable experience for event participants. Many things are regulated in event management, such as determining location, budget, marketing, logistics, security and other operational activities. In the context of this tournament event, event management is very important to ensure that all elements of the event run smoothly and according to participants' expectations. Therefore, we as members of the Pulau Godang Kari Village KKN together with the Teachers of SDN 020 Pulau Godang Kari collaborated in making this event a success.  

The implementation of Internet of Things (IoT) technology in the smart city concept has become an important innovation that plays a major role in improving the quality of life of urban communities. IoT enables the integration of various interconnected devices and systems to optimize the management of city resources such as energy, transportation and security. This research aims to encourage the influence of IoT technology on the implementation of smart cities in several cities in Indonesia. Using qualitative and quantitative methods, this research collects data through interviews with city stakeholders as well as secondary data analysis from related reports and publications. The research results show that the application of IoT in smart cities has a significant impact on increasing operational efficiency, better environmental management, and improving public services. However, this research also found a number of challenges, such as limited infrastructure, data security problems, and low digital literacy among the public. In conclusion, although IoT has great potential in accelerating the implementation of smart cities, policies are needed that support and increase society's capacity to reach the full potential of this technology.

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.

Demand for additional electric power increases as electricity demand increases, but the process is often hampered by obstacles in the operational workflow. The main objective of this research is to analyze operational risks in kWh addition services using the Root Cause Analysis (RCA) method using the 5 Why technique and fishbone diagram. The RCA method equipped with a fishbone diagram will produce a mapping of the causes of operational risk obstacles in the PT XYZ kWh addition service in a structured manner. In the process, the author identifies and analyzes the various risks faced, and proposes improvements aimed at improving service quality. Based on the results of the research analysis, there are two operational risks related to kWh addition, namely: the migration process of postpaid kWh meters to prepaid meters and the use of electricity by customers who exceed the contracted power. The conclusion shows that most of the operational risks come from customer behavior. Proposed improvements include increasing the frequency of inspections, proactive planning for power additions, and transparency of information to customers. The results of this report are expected to make a positive contribution to operational risk management at PT XYZ and improve customer satisfaction.

This research aims to design and build a web-based broadcast equipment inventory information system at TVRI North Sumatra. This information system was developed to overcome existing inventory management problems, such as tracking, managing and maintaining broadcast equipment. The development method used includes requirements stages, system design analysis, implementation, and testing using the black box method. This system was built using PHP as the programming language, MySQL as the database, and CSS and JavaScript for the user interface. Test results show that this system can manage equipment inventory effectively, including the functions of borrowing, returning and maintaining equipment. This system also allows integration with other existing systems at TVRI and provides long-term benefits such as increasing data accuracy and operational efficiency. The implementation of this information system is expected to support smooth operations and improve the quality of inventory management at TVRI North Sumatra.