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This research was conducted with the primary objective of examining and determining the effect of occupational safety, occupational health, and the Occupational Health and Safety Management System (OHSMS) on employee performance at UD. Berkah Mandiri, located in Kediri Regency. The background of this study is based on the importance of implementing OHS in the workplace as an effort to minimize the risk of accidents, improve employee well-being, and support overall company productivity. In today’s increasingly competitive industrial world, attention to occupational safety and health is a key factor that not only protects workers but also enhances organizational efficiency and effectiveness. The research method employed was a quantitative approach with an associative research design. The population consisted of 56 employees, all of whom were taken as respondents through a saturated sampling technique. Data were collected using a questionnaire instrument constructed based on indicators of occupational safety, occupational health, OHSMS, and employee performance. The data were then analyzed using SPSS version 25.0 through validity and reliability tests, multiple regression analysis, and hypothesis testing both partially and simultaneously. The results of the analysis revealed that occupational safety has a significant effect on employee performance, indicating that the better the implementation of safety standards, the higher the performance achieved. Similarly, occupational health was found to have a positive and significant effect on employee performance, suggesting that healthy working conditions contribute to higher motivation and work effectiveness. Furthermore, the OHSMS also significantly influenced employee performance, reflecting that proper policies, procedures, and supervision in OHS management create a safe and productive work environment. Collectively, the three variables—occupational safety, occupational health, and OHSMS—were proven to have a significant simultaneous effect on employee performance at UD. Berkah Mandiri. Thus, this study emphasizes that occupational safety, occupational health, and OHSMS are crucial factors that must receive serious attention in order to improve employee performance and support sustainable business continuity.

This study explores the role of Big Data in crisis communication in the digital age, where information dissemination happens quickly through various platforms. This transformation poses challenges such as the risk of spreading fake news and reputation crises. Big Data plays an important role in detecting potential crises early, as well as in understanding the dynamics of public opinion and designing more responsive and effective communication strategies. Through real-time data collection and analysis from various sources, such as social media and news reports, organizations can build smart and adaptive monitoring systems. This research uses a descriptive qualitative approach to explore the role of Big Data in crisis communication in the digital era. The results show that the crisis detection process starts from data collection, cleaning, to sentiment analysis that helps organizations measure public response. However, the application of Big Data also faces considerable challenges, including the complexity of processing data with high accuracy, privacy issues, and the readiness of infrastructure and human resources in the organization. This research provides clearer insights into the strategies that can be used to optimize Big Data in crisis communications, so that organizations can strengthen communication effectiveness, maintain reputation, and build public trust amidst evolving information challenges.

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.

The importance of calculating weight and balance on an aircraft to support flight safety is something that must be done by service providers. Mistakes in calculating weight distribution can cause overloads that risk endangering the safety of passengers, crew, and the aircraft itself. This study was conducted at AirAsia Airlines with a focus on the Airbus A320 aircraft at Husein Sastranegara Airport, Bandung. The study used a quantitative method with primary and secondary data collection. Primary data was collected through direct observation in the field, while secondary data was obtained from documents, journals, and related literature. This study analyzed data related to aircraft weight, fuel, passengers, baggage, and cargo to calculate weight and balance on the loadsheet. The results of this study indicate that calculating weight and balance on loadsheets is an important process in ensuring flight safety. Steps involving calculating the weight of passengers, baggage, cargo, fuel, and the distribution of the aircraft's center of gravity ensure that the aircraft operates within the safe limits set by the manufacturer. Based on the analysis of passenger, baggage, cargo, and fuel data, the Zero Fuel Weight (ZFW) was 60,516 kg, Takeoff Weight (TOW) was 67,516 kg, and Landing Weight (LW) was 62,516 kg. All of these parameters are within the specified safe limits. Load management on an Air Asia A320 aircraft when overloading requires special attention to parameters such as Maximum Takeoff Weight (MTOW), Maximum Landing Weight (MLW), and Maximum Landing Weight (MZFW). If an overload occurs, as recorded on the fourth day in Hold 5, the solution that can be taken is to reduce the cargo load on that Hold. For the situation on the fifth day, where the Landing Weight (LW) exceeds the MTOW, the right step is to reduce the amount of fuel.

MSMEs (Micro, Small, and Medium Enterprises) are one of the important economic pillars in driving local economic growth in various cities in Indonesia. However, MSMEs often face significant challenges, especially related to financial and labor risk management. This study aims to analyze financial and labor risk management at Mbak Yummi Chicken Noodle MSMEs in Medan City. In this study, a descriptive qualitative approach with interviews was used to collect data from business owners and employees. The analysis was conducted with a focus on financial risk management strategies, such as product and service diversification, creative promotion, cash flow management, and access to capital, and labor risk management strategies, including employee cost management, employee development and retention, and effective performance management. The results show that Mbak Yummi Chicken Noodle MSMEs have implemented various strategies to effectively manage financial and labor risks. Product and service diversification, creative promotions, and utilization of online delivery and ordering services help reduce financial risks and maintain revenue stability. Meanwhile, efficient management of employee costs, employee development, and effective performance management help manage labor risks, improve productivity, and maintain service quality. This research shows that effective financial and labor risk management plays an important role in the operational success of Mbak Yummi Chicken Noodle MSMEs.

CV Cielofood Pratama is a beverage processing business with nutmeg raw materials, located in Bogor City, West Java. The company produces syrups with varying sizes of packaging. The multi-stage production process does not rule out the possibility of irregularities that could cause the product to no longer meet the quality standards we set. In general, business units have a profit goal for business sustainability, by seeking efficiency in operations in order to obtain profitable profits. Analysis of the data shows the difference between corporate policy and the results of the EOQ method. The company usually orders 25 kg of raw materials with a frequency of 120 times per year. However, the EOQ method recommends ordering 144 kg with a frequency of 36 times per year. In addition, there is a significant difference in the total cost of supplies, which is IDR 30,900,000 according to company policy and IDR 10,392,000 according to EOQ method. This study aims to analyze strategies in raw material supply as an effort for supply chain efficiency. Using the Economic Orders Quantity (EOQ) method Reduce storage costs, save space on both storage and workspaces, resolve problems and reduce the risk that raw material supplies may pose.  

The assessment rating of bank hlth is expected to evalute the prformance of the banking industry. Because bank healtiness represent good financial condition and good management. Risk-based Bank Rating (RBBR) method is used Bank Indonesia as a standard to appraise the rating of the bank health. This study to find out the sundeness level of bank in terms of the aspects of Risk profille, Good Corporate Govermance (GCG), Earnings, and Capital. This was an deskriptif analysis, with the object study is BPR Supra Artapersada Kc. Cibadak, PT. the data were collected through documentation and date analysis techniquen was an analysis of the soundness of bank using the Risk-Bases Bank Rating approach with an assesment converage including Non Ferforming loand, Loan to Deposit Rating, Good Corporate Governmence, Return on Assets, Operational costs on operating income, and Capital Adequacy Ratio factors. The resulth howed the condition of BPR Supra Artapersada Kc. Cibadak, PT. at “healthy criteria” with Non performing Loand of 1,8%, Loan to Deposit Rating of 85%, Maximum credit limit of 0,083%, Return on Assets of 0,034%, Operational costs on operating income of 0,070%, and Capital Adequacy Ratio of 41%..

The property sector is one of the business instruments usually chosen by investors. This research capital market focuses on the housing construction sector originating from property companies. This company is the same as others, namely buying and selling shares at competitive prices per share. This share buying and selling activity can be dominated by price seasonality criteria when the price of each share rises or falls. Of all types of shares, Property Companies both have low and high return risks. Therefore, risks in the capital market can be predicted using the criteria of Return on Assets, Return on Equity and Earning Per Share. The research was carried out quantitatively by processing secondary data in the form of company financial reports. The research object was property companies registered on the IDX which were then sampled using probability sampling so that 13 companies were found as samples with a research period of 3 years. The method used is Panel Data Regression analysis. The results obtained are partial return on assets, return on equity has a significant positive effect on share prices and earnings per share has a significant negative effect on stock prices. Meanwhile, simultaneously return on assets, return on equity and earnings per share have a positive and significant influence on share prices. The results of the R square test explain that the independent variable is able to explain 84.4% of the variables studied

This research aims to analysis the soundness level of banks using the RGEC method at PT Bank Mandiri (Persero) Tbk in 2018-2021. The data studied is in the form of financial statements of PT Bank Mandiri (Persero) Tbk for 2018-2021. The data collection technique used is the documentation technique. The data analysis technique used is a qualitative descriptive analysis technique using the RGEC method. The results of this research show that Bank Mandiri for 2018-2021 is viewed from the aspect of risk profile with two ratios, namely the ratio of Non-Performing Loans for banks in a healthy condition and the ratio of Loan to Deposit Ratio for banks in a fairly healthy condition. Aspects of Good Corporate Governance get the title of very healthy. Earnings aspect with two ratios, namely the ratio of the bank's Return on Assets in a very healthy condition and the ratio of the bank's Net Interest Margin in a healthy condition. Aspects of Capital with the ratio of Capital Adequacy Ratio of the bank is in very healthy condition.