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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.

A construction testing laboratory is a special facility used to carry out various types of testing and analysis of construction materials, structures and construction components. It is always busy with customers, so sometimes there are huge queues of customers. Thus, research was conducted to determine the effectiveness of the construction testing laboratory queuing system. The method used in this research is Queuing Theory. Queuing Theory is a theory related to mathematical studies and queues or waiting lines. Queuing theory is always related to all aspects of the customer's situation in obtaining a service. Analysis of material testing queues in construction laboratories using the M/M/S model shows increased efficiency after adding servers. Previously, the server usability rate was 50%, with a queue time of 0.5%. After adding servers, the usability rate increases to 75%, queue time decreases, and the probability of customers being served increases to 2.11%. These results are the basis for recommendations for improvements to increase efficiency and customer satisfaction .  

PT KHI is a company operating in the food and beverage industry in Indonesia. In production activities there are many factors that can hinder performance productivity. Worker productivity is a value that cannot be seen directly except through a calculation process, so the worker productivity value is calculated from the company PT KHI. This research was carried out in the Production department using the Time and Motion Study method with a Lean Manufacturing approach, namely waste or extravagance to increase labor productivity in the Production department area. This time it was carried out directly by means of field observation. So that primary data is obtained. The results were obtained in the form of recommendations for improvement, namely: adjusting the total headcount in the line F area from previously 7 headcounts to 6 headcounts and moving several tasks from the carton sealer operator to each operator in the packing area of ​​line F, then classifying them into 3 headcounts for the packing section and 3 headcounts for the packing section. . It can be concluded from the results of this research that one type of waste is eliminated, namely adjusting the number of operators in the packing line F area so that before the improvements, labor productivity is 71.71% on line F and after labor productivity is 83.63%. By making improvements, cost savings of IDR 4,515,133 were obtained for 26 working days.  

Company PT. PAL Indonesia is a manufacturer of Indonesian Defence system equipment which is especially in the largest marine sector in Indonesia. In addition, PT. PAL Indonesia has 22 divisions. One of them is the Technology & Quality Assurance Division. One element that requires precise and accurate measurement is calibration. In the operational balance the calibration process is the key to overcoming the calibration request in the department. This research uses the line balancing method to determine the process time from the beginning to the end of the calibration process. The results obtained from the balance delay method are line balancing methods, in the previous company condition of 77% and after the improvement has been reduced to 5%, it can be concluded that the balance delay has decreased so that the performance is better. Meanwhile, in the Smoothness Index, the results that are known in the company's previous condition are 9 minutes and the results obtained after the repair are 3 minutes with the position weight method (Ranked Positional Weight) getting the late operation speed is 160 minutes so that it is used as a cycle time in the calculation of this method in the process of knowing the calibration work from the beginning to the end.

In this era, technology is developing very rapidly in various sectors ranging from industry, health, education, retail, and various other sectors. The development of technology is linear with human needs that must be met quickly, easily, and practically. A sector that can fulfill human needs is the trade sector. Currently, the trade sector is one of the sectors that is highly developed along with the trend of online shopping. Although online shopping is currently very popular, it does not mean that offline shopping is necessarily abandoned. Conventional payment systems usually require customers to queue at the cashier to make payments after choosing grocery items. Therefore, there is a need for technological innovation that can overcome this. The solution to overcome these problems is by planning to create a Smart Shopping Scanner machine by considering lean project management. Based on the results of the research that has been done, the application of the Lean Project Management method to the Smart Shopping Scanner project planning at PT ABC has resulted in significant improvements. Reduction of project completion time by 33.33%, reduction of component inventory value by 40%, and improvement of team communication by 66.67% show the effectiveness of this method in overcoming waste and increasing efficiency.

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

This article discusses the performance evaluation process at the LIA Cibinong Language Institute, which is a crucial step in measuring and assessing employee performance. This process is essential to ensure the effectiveness and efficiency of organizational operations, while providing feedback that supports overall performance improvement. LIA Cibinong, as an educational entity, considers performance evaluation management important in monitoring employee achievements. The evaluation process at LIA Cibinong consists of planning, implementation, assessment, and follow-up. The planning stage establishes the objectives of the performance evaluation in line with the objectives of the organization, with criteria that include quantity, quality, timeliness, and collaboration. Implementation involves collecting performance data through self-assessment, supervisors, and colleagues. The assessment stage uses techniques such as rating scales, comparisons, and free assessments, tailored to the evaluation criteria. Ultimately, the follow-up stage uses the assessment results as feedback, not just evaluation, but as a guide to improving employee performance. Careful implementation of performance evaluation by LIA Cibinong ensures that employees contribute optimally in accordance with the vision and mission of the organization. This process is not only an evaluative instrument, but also a foundation for individual development and overall institutional performance improvement.