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The traditional food and beverage industry in Medan, Indonesia, is undergoing significant changes as Industry 5.0 technology becomes more integrated. This research explores the impact of this transformation through data analysis from 143 traditional culinary businesses. The focus is on evaluating the extent to which Industry 5.0 has been adopted, identifying factors that drive or hinder its adoption, and analyzing how this affects business operations and customer experiences. We utilized Structural Equation Modeling with Partial Least Squares (SEM-PLS) to examine the relationship between business characteristics, workforce readiness, Industry 5.0 adoption, and its implications for operational and customer experiences. We used descriptive statistics to understand demographic and technological profiles, while measurement model evaluation demonstrated the validity and reliability of our survey. Path analysis and bootstrap analysis were employed to confirm relationships, while fit model evaluation, R², and Q² provided insights into overall model robustness. Our findings contribute to academic knowledge, provide guidance for business owners in making strategic decisions, and establish standards for future research on Industry 5.0 adoption in the traditional sector.

The increasing complexity and heterogeneity of data in Smart Information Systems pose significant challenges for effective decision-making. While data fusion techniques have been widely adopted to integrate multiple data sources, traditional fusion approaches often fail to consider contextual information, resulting in limited interpretability and reduced decision relevance. This study proposes a contextual data fusion approach that integrates heterogeneous data sources with contextual attributes, including temporal, spatial, and operational context, to enhance decision accuracy and robustness. The research employs a computational and experimental methodology involving data preprocessing, context encoding, multi-level data fusion, and performance evaluation. Experimental results demonstrate that the proposed approach outperforms single-source analysis and non-contextual data fusion in terms of accuracy, precision, recall, and F1-score, with only a marginal increase in computational cost. The findings confirm that incorporating context into the data fusion process significantly improves the quality and reliability of analytical outcomes. This study contributes to the development of intelligent and data-driven systems by highlighting the critical role of contextual awareness in supporting transparent and effective decision-making in Smart Information Systems.

The increasing complexity of modern software systems and the growing demand for real-time data processing have significantly contributed to higher energy consumption in computing infrastructures. This challenge is particularly evident in systems that rely on continuous monitoring, analytics, and adaptive decision-making. Addressing energy efficiency without compromising system performance has therefore become a critical concern in sustainable software engineering. This study proposes an energy-aware software approach that integrates real-time analytics with adaptive feedback mechanisms to optimize energy consumption while maintaining operational performance. The research adopts a design science oriented methodology, encompassing system design, implementation, and experimental evaluation. The proposed system architecture consists of real-time data acquisition, intelligent analytics, and an adaptive control layer based on the MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) feedback loop. Experimental evaluations were conducted under dynamic workload scenarios to compare the proposed adaptive system with a baseline non-adaptive system. Key performance indicators included energy consumption, response time, throughput, and adaptation latency. The results demonstrate that the proposed system achieves a substantial reduction in energy consumption while maintaining, and in some cases improving, system performance metrics. The adaptive feedback mechanism enables the system to respond effectively to workload fluctuations, reducing unnecessary energy usage during low-demand periods and ensuring stable performance during peak loads. These findings provide empirical evidence that real-time analytics and adaptive control can effectively support energy-efficient and sustainable software systems. This research contributes to the field of energy-aware software engineering by demonstrating that intelligent real-time adaptation is a viable strategy for achieving sustainability objectives in dynamic and performance-critical environments.

In the agricultural sector, the automatic identification of chili pepper varieties is crucial for improving production efficiency and quality. This study developed a chili pepper variety detection system based on characteristics using the Principal Component Analysis (PCA) method. The PCA method was used to reduce the dimensionality of chili pepper image data, thereby facilitating the classification process while retaining the key features necessary for chili pepper variety identification. The recognition system for chili pepper identification involves inputting chili pepper image data into a computer. The computer then interprets and identifies the chili pepper variety, and the test data utilizes a dataset of chili pepper images from various varieties. The research results indicate that the proposed system achieves a high level of accuracy in detecting and classifying chili pepper varieties. Consequently, this system can assist farmers and agricultural industry stakeholders in the chili pepper sorting and selection process, thereby improving operational efficiency and the quality of the harvest.

The use of information technology, especially e-commerce, has brought about fundamental changes in the way business is conducted. This article presents a literature review of how business development can be achieved through implementing e-commerce strategies. E-commerce not only provides greater access to consumers but also opens up new opportunities for business actors to increase operational efficiency, optimize supply chains, and expand market share. The discussion began by detailing recent developments in e-commerce technology and their impact on business transformation. Next, the focus is placed on business development strategies that can be implemented by business people to optimize the benefits of e-commerce. This research highlights the importance of adaptation and innovation as key elements in facing changing market dynamics. By understanding the potential of e-commerce and implementing the right strategies, businesses can gain a significant competitive advantage and achieve long-term success.

Hospital service quality management is a crucial aspect of the healthcare service system, aimed at ensuring that every patient receives safe, effective, and high-quality care. In the era of global competition and rising patient expectations, hospitals are required not only to provide adequate healthcare services but also to continuously and sustainably improve the quality of their services. Good quality management assists hospitals in identifying, measuring, and improving areas that require enhancement, as well as ensuring compliance with service standards set by accreditation bodies and regulators. With effective quality management, hospitals can reduce medical risks, enhance patient satisfaction, and ultimately strengthen the institution's reputation. This approach also plays a vital role in optimizing resource utilization and improving operational efficiency, which ultimately contributes

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

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.

Microenterprises are crucial to the economic landscape, especially in developing countries, as they contribute significantly to GDP and employment. However, these businesses often face challenges in adopting sustainable practices due to financial constraints, limited resources, and market access issues. This research evaluates the impact of energy efficiency on the profitability of Sharia-compliant microenterprises applying green business principles. By integrating energy-saving measures, such as energy-efficient technologies and optimized consumption, microenterprises can reduce operational costs and improve profitability. Sharia-compliant businesses, which adhere to ethical and sustainable practices, tend to be more open to implementing such green practices. The findings show that energy-efficient microenterprises outperform conventional ones in profitability, as energy-saving leads to lower costs and enhanced competitiveness. The study also highlights the importance of green finance in supporting these enterprises by overcoming financial barriers, allowing them to adopt energy-efficient technologies. Despite the clear benefits, challenges such as high initial investment costs and limited access to efficient technologies remain. Policy intervention, including financial incentives and education, is necessary to address these barriers and enable microenterprises to fully capitalize on energy efficiency. In conclusion, energy efficiency is not only a key driver of profitability for Sharia-compliant microenterprises but also a strategy for long-term sustainability and competitiveness.

This study investigates sustainable Islamic business models through a qualitative case study of green-tech startups in Central Java, Indonesia. Using semi-structured interviews with founders, managers, and employees, complemented by secondary data from business reports and sustainability disclosures, the research examines how Islamic ethical principles, including stewardship (khalifah), social welfare (maslahah), and justice (adl), are integrated into operational practices and sustainability strategies. The purposive selection of 3–5 startups enables an in-depth exploration of organizational decision-making, innovation adoption, and environmental and social performance. Thematic analysis identifies recurring patterns in ethical integration, technological innovation, and sustainability outcomes. Findings reveal that Islamic startups effectively embed ethical values into operations, fostering environmental accountability through renewable energy initiatives, waste reduction, and resource optimization, while enhancing community engagement and equitable service delivery. Technological innovations such as IoT, AI, and blockchain further support sustainability performance, enabling startups to monitor and optimize environmental outcomes without compromising financial viability. Comparative analysis demonstrates that Islamic startups outperform non-Islamic counterparts in key sustainability metrics, including carbon reduction and social impact, highlighting the competitive advantage of ethics-driven entrepreneurship. Overall, the study confirms that Islamic ethical frameworks foster both environmental accountability and technological innovation, providing a practical model for sustainable development in emerging economies. These findings offer valuable insights for policymakers, investors, and entrepreneurs seeking to align ethical, social, and environmental objectives with business strategy.

This study is a qualitative literature review aimed at exploring the challenges and opportunities of integrating generative artificial intelligence (GAI) in human resource management (HRM) practices. GAI, as an advanced technology, holds significant potential to enhance operational efficiency in HRM through the automation of administrative tasks, improved accuracy in performance evaluations, and the development of more interactive and adaptive employee training. However, its implementation also faces several challenges, including employee resistance to change and the unpreparedness of technological infrastructure. Furthermore, ethical issues such as algorithmic bias in recruitment processes are a major concern, potentially exacerbating inequities if not properly monitored. This research identifies that the success of integrating GAI into HRM depends on the organization’s readiness to address technological and ethical challenges, as well as the importance of careful planning. The findings provide valuable insights for organizations in designing effective strategies for GAI integration to improve performance and organizational dynamics while addressing potential risks.

Villages have the opportunity to develop the potential they have had since the birth of the Law on Villages. Optimizing the potential of the village is used for the benefit of the village community. The aim of optimizing village potential is to improve the life of the village community. The aim of establishing Village-Owned Enterprises (BUMDes) is one of the government's efforts to stimulate the village economy. BUMDes is expected to become a locomotive for village economic movements that can improve the welfare and reduce poverty of village communities. In order for this goal to be achieved, BUMDes need to be managed professionally so that they can compete and develop well. BUMDes in Gandasari Village, Bekasi Regency. BUMDes receives full support from the local village government. BUMDesa Gandasari Village has limited human resource capabilities. The limitations of existing human resources are the ability to report financial results from operational activities carried out. The Community Partnership Program (PKM) aims to provide financial management methods that were previously manual to become systematic and digitalized. The output of the activities carried out is that BUMDes administrators understand the Bumdes administration system and accounting/bookkeeping and have the ability to create BUMDes Financial Reports in the form of simple accounting, namely creating daily cash books, balance sheets, profit and loss reports and systematic, digital-based capital change reports.

In the current era of globalization, technological developments are progressing rapidly, one example is accounting information systems, the large amount of expenditure for production and operational costs means that companies must be able to pay attention to this so that the desired things do not happen. In this research, researchers used qualitative methods based on library research. The results of this research indicate that PT. PP (Persero) Tbk (Trans Sumatra Indrapura-Kisaran Toll Road Project) has been implemented systematically and in accordance with the accounting system, as well as the cash disbursement accounting recording system which is effective and efficient. The company's internal control system for cash disbursements has been implemented well, and everyone in each unit has worked together to improve the cash and disbursement systems after the finance department discovered recording errors. This shows that there is a strong level of internal control implemented in each department, making it difficult to misappropriate and embezzle funds.

Some small and medium business actors, especially breeders in the Indonesian People's Livestock Association, Buluharjo Village, Plaosan District, Magetan Regency, do not understand how to prepare the cost of goods sold for their livestock business so that the selling price is determined only by considering market prices, resulting in relatively minimal income. when compared with financial and non-financial expenses. They do not realize that many costs have been incurred but have not been taken into account, so even though the selling price is quite high and in accordance with market value, it has not been able to fully cover operational expenses. To provide a solution to this problem, it is necessary to have Training on the Preparation of Cost of Goods Sold as a Consideration for Setting Selling Prices in Maximizing Sales Profits at the Indonesian People's Livestock Association, Buluharjo Village, Plaosan District, Magetan Regency so that livestock business actors can be more effective in calculating their financial management. The training method carried out with Lecture-style training (Lecture) can be a very valuable resource for communicating the necessary information quickly and the Independent Self-study method, this method is expected to be able to train oneself by studying the material that has been given . In addition, this method was chosen because it took into account the distance and time constraints of the presenters and training participants, so that participants were given a simple report format in preparing cost of goods sold. In organizing activities, participants actively ask questions and discuss the conditions and limitations in the preparation of Cost of Goods Sold until the training is complete

The aim of this research is to determine the perceptions of non-Muslim students towards Indonesian Sharia Banks. To answer this problem, this research was conducted using descriptive qualitative research with data sources from UNJA students. The data collection techniques used were interviews, observation and documentation. The results of this research show that students' perceptions of sharia banks are still lacking because they do not understand sharia banking, they are not sure what sharia banks are, but they have heard about sharia banks from their neighbors. They stated that Islamic banks are the same as regular banks, only that they are designed specifically for Muslims and their operational procedures are the same. Therefore, Islamic banks cannot be accessed by non-Muslim students. From the results of the research conducted, it can be concluded that in UNJA non-Muslim students' perception of sharia banking is a process of integrating, regarding and interpreting information received by the sensory system. Non-Muslim students at UNJA only know about sharia banks, some also know about them from social media, and their response to sharia banks is only ordinary banks and there are also those who say sharia banks are good banks

This study aims to analyze consumer responses to the queue phenomenon that occurs at Cipatik Public Fuel Filling Station (SPBU). Queues at gas stations are often a major concern for consumers, affecting customer satisfaction and the operational performance of gas stations. This study identifies the main factors that influence consumer response to queues, focusing on queue cases, waiting time, and consumer feelings regarding service. The research method used a quantitative approach through a consumer survey involving a representative sample of Cipatik gas station users. Data was collected through a questionnaire covering aspects such as consumer perception of service speed, queue efficiency, and overall satisfaction level. The results of data analysis show that there is a lack of consumer satisfaction with the queues that occur at Cipatik Service Station, West Bandung Regency. Therefore, it is necessary to improve queue management by the gas station. The addition of filling pump lines needs to be addressed so that the service level can increase. In addition, shorter waiting times and a more efficient service experience are considered by consumers as key factors in increasing their satisfaction. The findings of this study provide valuable insights for Cipatik Service Station management and relevant stakeholders to improve queue management and increase customer satisfaction. The practical implications of this study can assist policy makers in developing more effective operational strategies to address queuing issues and improve consumer experience at the gas station.

PT Angkasa Pura I provided operational support to better the passenger time with self check-in. Self check-in is a service system that allows passengers for self check to reduce queues Check-In Counter. The study aims to understand significantly the impact and influence of the effectiveness of the use of the self check-in machine on the passenger satisfaction of the citilink airline at Yogyakarta International Airport. The research is a quantitative using primary data of the survey (questionnaire) and observation in its collection. The sample in this research uses a nonsampling technique type adhesive with the slovin formula gets 100 respondents. Data analysis techniques for analyzing this research are instrument tests, classic assumptions test, simple linear regression analysis. The results of the research suggest that the effectiveness of the use of the self check-in engine has significantly affected the passenger satisfaction greater than t table (21.756 > 1.660), which means h0 was rejected and ha received. The effectiveness of the use of the self check-in machine to affect passenger complacency by 82.8% while the remaining 172% are affected by variables or other factors not used in the research.

: Operational management is a field of management that has a focus in production or services using special tools and techniques to complete the production. Participants can implement knowledge about the way of production process that is the combination of one material with the other so that it becomes a product, the purpose of operational management, benefits, planning, strategy and challenges in the production process within the company. To gain a deeper knowledge of how production processes within the enterprise then it is necessary to understand the operational control of the process of production. Thus, through this seminar, we were conducted in the Aula of the School of Economic Sciences of Ekadharma Indonesia by inviting three sources that were very competent in its field and which were followed by 42 public participants among them consisting of class XII students of the school. In the seminar activities in addition to adding knowledge about the production process can also be discussed together as well as inserted some ice breaking to get some interesting prizes during the event. To see how enthusiastic the participants were, we used some suggestions and criticisms from some of the participants with a review method and a double choice that contained excellent good, good, pretty good, and bad. And it can be concluded that 66.1% of the participants thought that the seminar was very useful.

The development of technology 4.0 has a very positive impact on society. Industry 4.0 emphasizes the concept of digitalization that is consistent and connects all productive components of the economy.  Several technologies are helping Industry 4.0, such as cloud, simulation, augmented reality, robots, internet of things, big data analytics, additive manufacturing, and cybers ecurity. The method used in this article is literature study, which means data collection to understand and study the theories discussed in the relevant literature. Literature research helps to understand the conceptual framework of a topic and find theoretical foundations for further research. The research also helps guarantee that current research takes into account previous work and fills knowledge gaps.  For this study, internet searches and documentation studies were used to collect data. The result is that Technology 4.0 not only helps businesses but also improves the economy and people's welfare. Technology 4.0 greatly helps businesses by increasing global access, improving operational efficiency, driving innovation, and improving product safety. To ensure that the benefits of this technology are felt by everyone, society must continue to take this technology with caution while addressing issues such as data security and inequality of access to technology.   Keywords: T, Business, Society

Sometimes umbilical cord infections occur because young mothers are unaware of the need to provide umbilical cord care to their babies after giving birth. The umbilical cord, a type of connective tissue, holds the placenta and foetus together. The umbilical cord functions as a source of life for the foetus while it is in the womb. Umbilical cord care is a procedure for handling the umbilical cord in a sterile, clean, and dry manner to avoid infection. The aim of the research is to find out how health education on umbilical cord care influences the behaviour of postpartum mothers in the work environment at the Kaiely Community Health Centre, Buru Regency, in 2024. This research uses a pre-experimental research strategy. Total sampling was used as the sampling technique. We used the Wilcoxon test to analyze the data. The research findings showed a p-value of 0.001 when compared with the significance level (p-value <0.05), thus approving Ha. This shows that health education regarding correct umbilical cord management influences the behaviour of postpartum mothers in the operational area of the Kaiely Community Health Centre, Buru Regency. Based on the research conclusions, postpartum mothers fall into the poor knowledge category, negative attitude category, action not implemented, poor pre-test and post-test behaviour category, and action not taken. behaviour is classified as very good, and the behaviour of postpartum mothers at the Kaiely Community Health Centre, Buru Regency, is influenced by health education about umbilical cord care.