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Operational management is part of the work process, implementation, organization, or overall management in an organization or company. Our country has experienced difficulties since the implementation of PSBB. This also has an impact on the economy in Indonesia. Every company will compete to be at the forefront to meet consumer needs in the market in order to survive in the midst of competition. The type of research conducted in the discussion of this article is by using literature studies or literature reviews, The data sources used in this study are secondary data which are types of data that come from documents or other secondary sources Several supporting aspects for the company, Project Management, Process Strategy, Quality Management, Forecasting Management, and Strategic Location.

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.

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 aim of this research is to identify strategies that can be implemented to improve the quality of health services through QMS ISO 9001:2015 and their impact on patient satisfaction and operational efficiency. This research uses a qualitative approach with a case study method in several hospitals that have implemented ISO 9001:2015. Data was collected through interviews with management, staff and patients, as well as analysis of documents related to the implementation of SMM. The results of this research show the implementation of Quality Management Principles: Hospitals that implement ISO 9001:2015 principles, such as customer focus and a risk-based approach, experience an increase in patient satisfaction and a reduction in complaints. Staff Involvement Staff involvement in the quality management process through training and feedback sessions has been proven to increase their motivation and commitment to quality standards. Performance Measurement: The use of clear performance indicators allows hospitals to identify strengths and weaknesses in their services, thereby facilitating continuous improvement. Patient Feedback : Hospitals that routinely collect and analyze patient feedback can identify areas for improvement, which has a positive impact on the overall patient experience.  Continuous Improvement: By implementing the PDCA (Plan-Do-Check-Act) cycle, hospitals can ensure that their processes and procedures are always updated and relevant.

This research aims to determine the management of School Operational Assistance (BOS) funds at GMIT 07 OEBUFU Elementary School based on the POAC Planning, Organizing, Implementing and Accountability management system. This research uses a qualitative descriptive research type using the Nvivo tool. The data sources used are primary data sources and secondary data sources with data collection techniques based on the results of interviews, observation, documentation and triangulation. The data analysis techniques used are data reduction, data presentation and drawing conclusions using the N-vivo 12 Plus software tool. The research results show that the performance of managing School Operational Assistance (BOS) funds at GMIT 07 Oebufu Elementary School is based on the Planning, Organizing, Implementing and Accountability (POAC) management system. The performance of managing school operational funds has been running quite well, however, in the process of managing boss funds, there are problems at the implementation stage where the school experiences delays in disbursement due to delays in reporting, this occurs due to changes in boss fund management rules, and system changes. reporting.

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.

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 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.

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.

This research discusses the significant role of digital technology in the modern economy, particularly in relation to cybersecurity and the impact of technological disruption on business sustainability. The main topics analyzed include the use of artificial intelligence (AI) to detect cyber threats, strategies for protecting IT supply chains, and the challenges faced by the banking sector and the Internet of Things (IoT) in managing cybersecurity risks. The research also examines the impact of digitalization on social inequality and poverty in the European Union. Digital technologies such as automation, data analytics, and IoT drive innovation and enhance operational efficiency, but also introduce disruptive challenges that must be addressed through careful risk management and increased organizational capacity to ensure business resilience.  

This study aims to analyze the impact of operational performance implementation and customer satisfaction on sales levels, with a case study on the D'One Acc Cellphone Counter. Operational performance includes internal process efficiency, quality control, and technology use, while customer satisfaction includes product quality, service, and customer experience. This study uses a quantitative method with a survey approach to collect data from customers and employees of the D'One Acc Cellphone Counter. The results of the analysis showed that there was a significant positive relationship between operational performance and customer satisfaction levels. In addition, customer satisfaction has a positive effect on sales levels. Good operational performance improves the quality of products and services, which in turn increases customer satisfaction and drives higher sales. These findings underscore the importance of integrating effective operational strategies and focusing on customer satisfaction to achieve increased sales. This research provides insight for the management of D'One Acc Hp Counters in formulating better strategies to improve operational performance and customer satisfaction, as well as maximize sales potential.  

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.

School administration plays a very important role in carrying out the basic functions of Islamic educational institutions. . The purpose of this study is to identify the role of school administration in improving the operational effectiveness and quality of Islamic education. This study uses a library research method, which aims to collect, analyze, and compile information from various literature sources in order to obtain a comprehensive understanding of the topic being studied. The data analysis technique used is descriptive-qualitative. The results of the study show that the role of school administration is very important in improving the operational effectiveness and quality of Islamic education. Good administration is not only about technical management, but also about creating an environment that supports the development of students' morals and spirituality. With effective administration, schools are expected to be able to provide Islamic education that is not only academically qualified, but can also shape students' characters in accordance with Islamic values. It is hoped that this study can be a reference for policy makers and practitioners of Islamic education in formulating better management strategies, so that they can improve the quality of Islamic education as a whole.

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.  

Organizational Citizenship has a positive impact on organizational effectiveness. One factor that can effect OCB is servant leadership, namely a leadership style that focuses on serving team members. Job satisfaction acts as a intervening variable in this research, where job satisfaction is a variable that bridges the effect of servant leadership on OCB. This research aims to analyze and explain the effect of servant leadership on OCB with job satisfaction as a mediating variable. By using a quantitative approach, this research is expected to provide insight into how servant leadership can encourage OCB behavior by increasing employee job satisfaction. This research was conducted on employees of the CV operational division. Bali Harmoni Bali Zoo, with a total sample of 75 employees obtained using the saturated sampling method. Data collection was carried out by interviews and distributing questionnaires. The analysis technique used is Structural Equation Modeling (SEM) using the Partial Least Square (PLS) approach. The results of the analysis show that 1) servant leadership has a positive and significant effect on employee OCB, 2) servant leadership has a positive and significant effect on employee job satisfaction, 3) job satisfaction has a positive and significant effect on employee OCB, 4) job satisfaction mediates the effect of servant leadership on Employee OCB. The implications of this research theoretically support the findings of previous research through the perspective of social exchange theory. The practical Behavior is extra-role behavior carried out voluntarily by employees and implications of this research provide a policy reference for organizational leaders and management to increase employee OCB through servant leadership and job satisfaction.

This study aims to identify the risks that will arise due to fraudulent practices and breach of contract will be carried out by clients during musyarakah financing. This text also aims to explore how the implementation of risk management can reduce the risks that will occur in the PT. BPRS Haji Miskin Pandai Sikek is a microfinance institution that aims to provide services to the underprivileged population in the Sikek area. In this study, the qualitative method was chosen by the author as the approach that will be used to carry out their research. In this paper, the author uses two types of primary data. Initially, primary information will be obtained directly from primary sources, such as written records and direct observations at the research site. Furthermore, primary information will be obtained through library studies or by referring to relevant books on Islamic banking and related subjects. In this study, the analytical method was used by the researchers. Based on the study, it was reported that fraud and default by customers in musyarakah financing present two types of risks, namely financing risk and operational risk. The implementation of risk management in musyarakah financing will be carried out by a specific PT company. In order to implement the precautionary principle, BPRS Haji Miskin Pandai Sikek utilizes the standard operating procedure (SOP) instructions that have been decided. The risk management process includes four stages, namely risk detection, risk assessment, risk management, and risk monitoring. The principle of the five Cs (character, capacity, capital, collateral and condition of economy) is used in this process.