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Osha Snack UMKM faces issues related to product defects, which are suspected to arise due to a lack of quality control in the production process. This study aims to identify the causes of product defects, provide improvement suggestions, and determine effective ways to control product quality. Data were collected through interviews with relevant parties and field surveys to gather information on production volume, product defects, and production activities. The data were processed by organizing it into check sheets, performing regression calculations, and analyzing it using scatter diagrams and fishbone analysis. The Statistical Process Control (SPC) method was applied to analyze, control, and improve the production process. The results show a significant relationship between production volume and the number of defective products, with the regression equation Y = 0.0764X and a coefficient of determination R² = 0.9625. The most common type of defect is broken snacks before packaging. In addition, waste products also come from product returns by buyers, which leads to raw material waste and hinders the achievement of production targets. The analysis results suggest that the UMKM should implement quality control measures in the form of process improvements, enhancement of work skills, proper machine maintenance, implementation of SOPs, and improvement of working conditions.

In running a business there are definitely risks. Risks that arise from the internal and external environment of the business can result in the business experiencing losses. This research method uses a qualitative descriptive research method with data collection techniques originating from observations and interviews with the owner of the Manju Steamed Bread business, Tuasan Branch. This research will use Enterprise Risk Management (ERM), where ERM implementation is usually implemented by identifying risks, assessing and controlling risks. Businesses that use Enterprise Risk Management (ERM) can get risks ranging from low (low), medium (medium), high (high). This research aims to identify risks that may occur in the Manju Steamed Bread business, Tuasan Branch, then create a risk matrix to determine the worst risks that must be prioritized in control. The research results show that there are operational risks, namely employees not following steaming machine operating procedures, lack of maintenance of the machine and bread steaming equipment by employees and delays in the arrival of raw materials. This risk will affect the quality of taste, service, and can result in losses due to shop closures due to delays in the arrival of raw materials, so risk management is needed which aims to reduce operational risks that may occur.  

This research aims to analyze the operational risks faced by Rumah Makan Ondo Batak Grill, a famous culinary business on Jl. Weaving Factory No. 45, Sei Putih Tengah, Medan Petisah District, Medan City, North Sumatra. The qualitative method used in this research is data collection techniques by conducting direct observations and interviews with the owner of the Ondo Grill Batak Restaurant. The research results reveal that there are several significant operational risks, including hygiene and food safety risks, equipment damage risks, employee absenteeism risks, and customer number risks. To manage possible risks, Ondo Restaurant has implemented several strategies, such as regular employee training regarding food hygiene and safety, routine maintenance and inspection of cooking equipment, and development of an employee attendance management system. Apart from that, this restaurant is also diversifying its menu and promotions to attract more customers and maintain income stability. This research concludes that effective operational risk management is very important for the survival and success of Ondo Restaurant. The recommendations provided include improving the risk monitoring system and implementing risk management strategies on a regular basis.

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.

Management of facilities and infrastructure is one of the factors affecting success in a company. One is to support the company's operational activities. The purpose of this study was to find out the management of infrastructure in one of the companies engaged in food and beverage. The research results show that the company has carried out management by doing the planning, procurement, maintenance, inventory, and removal of infrastructure. However, not all infrastructure is in an optimal state. This can be seen from the manual use of the machine and the leaky air conditioning due to the lack of regular maintenance. This study used qualitative methods using data collection techniques, namely observation, interviews, and prior literature, and using purposive sampling techniques.