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The internet cafe services industry has significant challenges in meeting customer needs and maintaining its competitiveness. This study aims to analyze the problems faced by the internet cafe service industry using the Servqual method approach. This method allows evaluating the quality of services provided by internet cafes along five dimensions: reliability, responsiveness, insurance, empathy and comfort. Data was collected through a survey of internet cafe users and analyzed using statistical techniques. The results of the analysis highlight various problems faced by the internet cafe services industry, and provide valuable insights for industry stakeholders to improve the quality of their services.    

Objektif. Rubber is the main commodity developed in Parsarmaan Village, and to optimize their production results, as well as increase the sustainability of the rubber industry, a better understanding of the market is very important. Market segmentation is a strategy that can help rubber farmers understand the characteristics and needs of their diverse customers. This article outlines the reasons why market segmentation is necessary and how rubber farmers can implement it effectively. Through demographic, geographic analysis and the use of technology, rubber farmers can collect data about their customers. With this data, they can customize their products, services and their marketing strategies to achieve greater success. The benefits of introducing market segmentation for rubber farmers include increased sales, business sustainability, innovation, economic prosperity, and verified. With a better understanding of different market segments, rubber farmers can increase their income, strengthen the rubber industry, and improve their own quality of life. With a continued commitment to understanding their customers and following the right approach, rubber farmers in Parsarmaan Village have a great opportunity to achieve long-term success in their rubber industry. Market segmentation is an important tool that can help them achieve their goals.Materials and Methods. To achieve the expected goals, the Parsarmaan Village KKN program was carried out using the PAR method. PAR is an abbreviation for Participatory Action Research. Basically, PAR is research that involves all relevant parties in actively researching together current actions (which they experience as problems) in order to change and improve them. In this service, a participatory approach is used to involve local communities in the outreach process. Results. The result of this service for the community is that the community understands market segmentation better, rubber farmers can increase sales and increase the economic welfare of the community. Apart from that, the introduction of market segmentation not only provides more insight into customers, but also opens up opportunities for growth and development of the rubber industry. Conclusion. The introduction of market segmentation is a crucial step in efforts to increase the insight of rubber farmers in Parsarmaan Village. Rubber farmers through the introduction of market segmentation have great potential for success, namely increasing sales, business sustainability, increasing economic welfare, and opportunities for diversification. By focusing on various existing segments, they can achieve great success in the changing rubber industry

PT. Kalonika Bara Kusuma is a company operating in the mining sector located in the city of Samarinda, East Kalimantan province. To achieve maximum profits, PT. Kalonika Bara Kusuma adds or subtracts units according to the amount of turnover obtained in the previous month. However, after being evaluated, it turned out that this method was not effective. Because you only see at a glance the fluctuations in historical data. Sometimes when you have reduced units, it turns out that demand in the following month actually increases. This results in less than optimal profits because they cannot serve existing customer requests. Vice versa. This is what causes PT. Kalonika Bara Kusuma experienced difficulty in making a decision to add or subtract units. From this problem, the author created an application that can predict the amount of turnover in the next month and provide recommendations for deciding which camera units should be increased or decreased in number. To predict the amount of turnover using the Multiple Linear Regression method. After obtaining the predicted results for the amount of turnover, a test was carried out using the Mean Absolute Percentage (MAPE) with a result of 200%, which means that the Multiple Linear Regression method is not suitable to be used to predict the amount of turnover in the next period. Production forecasting is a form of decision making that is used as a basis in many manufacturing and service industries. Therefore, companies that are able to produce products on time and in the right quantities are companies that are able to survive the competition. This demand forecasting is used to forecast demand for products that are independent (not dependent), such as forecasting finished products. The multiple linear regression method is an analytical technique that tries to explain the relationship between two or more variables, especially between variables that contain cause and effect, called regression analysis. So in relation to the description above, this research aims to determine production forecasting using the multiple linear regression method at PT. Kalonica Bara Kusuma.The mining industry is a series of activities that have a long period of time and costs a lot of money, a series of industrial activities, namely mining activities which include digging, loading and hauling to obtain optimal profits from activities. One of the mining industries needs to be a study of operational costs for transportation equipment