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Adolescence is a transition from childhood to adulthood that experiences development of access to enter the adult phase including the function of reproduvtive organs. Deviant sexual behavior usually occurs among adolescents who have less knowledge of reproductive health and up finding out through peers or the internet whose truth is not yet know. Lack of information in this aspect encourges sexual behavior, which leads to unwanted pregnancies and sexually transmitted diseases, as well as mental disorders. The purpose of this study was to determine the relationship between reproductive health knowledge and adolescent sexual behavior. The method used is a quantitative or cross-sectional approach, involving several respondents who were selected purposively. The research instrument was  a standardized questionnaire that passed the validity and reability test. The results showed a relationship between the level of reproductive health knowledge and sexual behavior in adolescents, where adolescents who have broader insights show good or responsible sexual behavior. From the research result, it is concluded that there is a need for a comprehensive reproductive health education program for adolscents in schools, families, and social environments to build safe sexual behavior.  

PT. Dian Swastatika Sentosa generates electricity through a private thermal power plant. This company produces steam and electricity for paper mills. The company hopes to meet its steam and electricity needs in 2023 with a boiler with a load capacity of 180 tons and a maximum capacity of 220 tons. However, from February to July 2023, that goal was not achieved. The most common problems faced by this company are the failure to conduct preventive inspections and timely machine maintenance, as well as the failure to carry out necessary repairs. Delays in machine repairs, which result in inconsistent machine downtime schedules to meet customer demand, leading to damage to boiler equipment, causing abnormal boiler operation and reduced steam production. This research aims to design equipment to withstand operational impacts using failure mode and effects analysis (FMEA) with the Soft Systems Methodology (SSM) and reliability-centered maintenance (RCM) techniques. The RCM method assists in identifying the processes that must be followed to guarantee that a machine or system performs as intended. RCM can also be used to design, choose, and create alternative maintenance methods that are focused on safety, operations, standards, and economics. For the entire problem in the investigation, a dynamic model is necessary. An analytical system is used in this model in order to recognize and duplicate the features of the overall system., as well as to provide repair solutions and address the burden of the problem. This research produces a presentation in the form of problem identification, causal loops, diagrams of machines that frequently experience failures, rich images of the causes and effects of the ball plate crusher liner damage, root cause definitions, and conceptual models for repair and maintenance. business productivity and debating process. 

This research aims to determine the analysis of service quality on customer satisfaction at the Tingkir Type A Terminal, Salatiga City. In this research, the objects taken were service users at the Tingkir Terminal. Data sources include primary and secondary data. The sample in this study was 100 service user respondents at Tingkir Terminal. Data collection was carried out using observation methods, literature studies, interviews, documentation and questionnaires. The data analysis technique is a multiple linear regression technique which is first tested through a questionnaire test (validity and reliability) and classical assumption tests (autocorrelation, heteroscedasticity, multicollinearity, normality). The results of the analysis using the statistical tools of the SPSS V.26 program obtained a multiple linear regression equation: Y = 2,637 + 0,170.X1 + 0,203.X2 + 0,180.X3 + 0,179.X4 + 0,171.X5 + μ. The results of the multiple linear regression equation show that the Tangible Variable (X1) has a tcount of 0.170 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Reability variable (X2) has a tcount of 0.203 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Responsive Variable (X3) has a tcount of 0.180 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The variable Emphaty (X4) has a tcount of 0.179 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Assurance variable (X5) has a tcount of 0.171 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. Based on the results of the study, conclusions can be drawn from multiple linear regression analysis and the distribution of respondents' answers regarding independent variables (Tangible, Reability, Responsive, Emphaty, Assurance) has an influence on the dependent variable (Customer Satisfaction).