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This computer training is part of Community Service (PKM) in Ladang Peris Village, Bajubang District, with the aim of improving children's readiness to face the digital era. The main problem is low technological skills due to limited facilities and minimal access to training. In addition, the lack of understanding about the wise use of technology is also an important issue. This training aims to provide basic computer skills education and increase awareness of the benefits and risks of technology. The main target is elementary to secondary school children who are interested in learning technology but have limited facilities. The methods used include theory, direct practice, and interactive approaches. Theoretical materials include an introduction to hardware, software, and the impact of technology. Practice is carried out through typing activities, using educational applications, digital drawing, and safe internet exploration. The results of the training showed an increase in children's understanding of technology and their courage to use it. They are also more aware of the importance of using technology positively. In conclusion, this training has a positive impact by providing children with basic computer skills, preparing them to face digital challenges, and encouraging the sustainability of the program to create a young generation that is technologically literate.

Waropen Regency, located in Papua Province, Indonesia, is an area with abundant natural resource potential, such as fisheries (fish, shrimp, crabs), tropical forests and biodiversity. However, the varied topography, high rainfall and geographical conditions make this region vulnerable to flood disasters. This research aims to analyze and predict flood hazards in Waropen Regency using Geographic Information Systems (GIS) such as ArcGIS. The methods used include secondary data collection (topography, rainfall, land use, and river network), data processing using GIS software, as well as spatial analysis using Digital Elevation Models (DEM) and hydrological modeling. The research results produced a flood hazard zoning map that identifies priority areas based on threat level. This map is also used to analyze the potential impact of flooding on settlements, infrastructure and agricultural land. The findings of this research provide important information for local governments and stakeholders in designing disaster risk mitigation strategies, such as building flood control infrastructure and disaster mitigation-based spatial planning. Thus, this research shows the potential of GIS in supporting effective and data-based disaster risk management in Waropen Regency.

This study aims to analyze the effect of body angle variations on propulsion force and water resistance in swimmers through a biomechanical approach. This research is motivated by the importance of movement efficiency in swimming, where suboptimal body positions can increase drag coefficient, thus slowing down swimming speed. The method used is a quantitative experimental design, involving professional and semi-professional swimmers. Instruments used include a motion capture system to record body movements, force sensors to measure propulsion and water resistance, and biomechanical software to analyze force vectors and drag coefficient. The results show a significant difference in swimming performance based on body angle variations. At a 0° angle, the average propulsion force is 145.3 N with a drag coefficient of 0.92. At a 15° angle, the propulsion force increases to 162.7 N with the lowest drag coefficient of 0.78. Meanwhile, at a 30° angle, the propulsion force decreases to 150.1 N, and the drag coefficient increases to 0.88. These findings indicate that a 15° body angle is the most optimal position, as it minimizes water resistance and maximizes propulsion force, thus improving swimming movement efficiency. The implications of this study suggest that biomechanical approaches can be used to design more efficient swimming training programs. The findings are also beneficial for swimmers and coaches in developing more effective training strategies.

The rapid development of the coffee industry in Indonesia has led to the emergence of various coffee shops with unique concepts, one of which is Toko Kopi Klasik. This study aims to analyze the influence of Service Quality, Store Atmosphere, and Social Media Marketing on Repurchase Intention with eWOM as a mediating variable. The research uses a survey method involving 120 respondents who are consumers of Toko Kopi Klasik. Data were analyzed using the PLS-SEM method with the help of SmartPLS 3.0 software. The results show that Store Atmosphere, Social Media Marketing, and eWOM have a positive and significant impact on Repurchase Intention, while Service Quality does not have a significant impact. Additionally, Store Atmosphere and Social Media Marketing are also found to have a positive and significant impact on eWOM. These findings imply the importance of managing store ambiance, social media, and online reviews to enhance consumer repurchase intention.

This study aims to analyse the influence of flash sales and free shipping on consumer purchasing decisions for Shopee products. The research was conducted from October to December with a quantitative approach, involving 100 respondents as a sample. Data analysis includes data quality tests, classical assumption tests, hypothesis tests, multiple regression analysis, and determination coefficient tests with IBM SPSS 25 software. The results of the partial test showed that flash sale (X1) had no significant effect on consumer purchase decisions (Y) with a T value of -0.996 < 1.661 and a significance of 0.322 > 0.05. On the contrary, free shipping (X2) had a significant effect on consumer purchase decisions (Y) with a T value of 5.982 > 1.661 and a significance of 0.000 < 0.05. The F test shows that simultaneously flash sale (X1) and free shipping (X2) have a significant influence on consumer purchase decisions (Y) with an F value of 17.947 > F table 3.090 and a significance of 0.000 < 0.05. These results indicate that the two variables together have a positive influence on consumer purchase decisions on Shopee products.  

This study aims to examine the Influence of Leadership Style, Work Environment, and Rewards on Employee Performance at Lulu Hypermarket Department Store BSD Tangerang Branch. The method used is multiple linear regression analysis method using SPSS software version 22. And the technique used is Non Probability Sampling with saturated sampling type. The results of this study indicate the regression value is Y = 34.997 + 0.401 X1 -0.409 X2 +0.082 X3 + ε That Leadership Style (X1) has a significant effect on Employee Performance, This shows the importance of the role of a leader/manager in improving employee performance to achieve organizational goals. Work Environment (X2) has a negative and significant effect on Employee Performance, This shows that an unsupportive Work Environment can reduce Employee Performance. While Rewards (X3) have no effect and are not significant on Employee Performance (Y), Recognition or giving gifts is still very important to improve Employee Performance. The contribution of the three independent variables R2 is 33.3% to Employee Performance (Y) and the remaining 66.7% is influenced by other factors.

Technological advances have a significant impact on the world of education, including at the Senior High School (SMA) level. This community service aims to improve the understanding and application of educational technology at SMAN 4 Padang Sidempuan in order to improve the quality of learning. The methods used include teacher training, assistance in implementing technology in learning, and evaluation of the effectiveness of its application. The results show that the use of technology such as Learning Management System (LMS), interactive multimedia, and learning software increases student engagement and teaching effectiveness. The use of educational technology also contributes to improving the quality of learning that is more interactive and flexible. However, the challenges faced in implementing educational technology include the readiness of educators, school infrastructure, and the gap in access to technology for students. Therefore, a comprehensive approach is needed in developing human resources and utilizing more optimal technology.

Flood disaster is the most frequent disaster in Indonesia. Based on BNPB records throughout 2021, flood disasters have occurred 1,279 times. Poor drainage system can be one of the factors causing flood disasters. Way Mhorock Village, Abepura District is one of the areas that has poor drainage network quality. This is because Way Mhorock Village is one of the centers of community activities, so it has the potential to cause flooding. This study examines the quality of the drainage system against disasters in Abepura District by focusing on Way Mhorock Village. The research methods used to achieve the objectives in this research are qualitative methods, spatial analysis, and analytical hierarchy process. Qualitative descriptive analysis method to assist and describe the actual drainage problems in the field in the form of pictures. Spatial analysis method using GPS by recording problematic drainage points then processed using ArcGIS software. Analytical Hierarchy Process method by capture the perspective of stakeholders from the agency to determine the assessment of the quality level of the drainage system that has the potential to cause flooding in Way Mhorock Village. The results showed that there are 4 problems that affect the quality of drainage in Way Mhorock Village, namely drainage sedimentation, land use change, drainage cross section, and the volume of waste found at 33 points in Way Mhorock Village. Based on the results of the analytical hierarchy process using an expert choice application, drainage sedimentation is the most influential criterion on improving drainage quality with alternative handling provided in the form of law enforcement policies against environmental violations by the community.  

The growth of Gross Regional Domestic Product (GRDP) as a benchmark for a region's economic growth is closely linked to regional tax revenue and government expenditure, as these policies are components of aggregate demand, whose increase will drive GRDP growth. On the other hand, inflation is an economic phenomenon that is always intriguing to discuss, particularly regarding its broad impact on economic growth. This study aims to analyze the impact of inflation, regional tax revenue, and government expenditure on economic growth across provinces in Java Island from 2010 to 2019. The data analysis method used is Vector Autoregression (VAR) analysis, employing EViews 10 software. The study's findings indicate that inflation has a significant positive effect on economic growth. Meanwhile, regional tax revenue and government expenditure have a positive but not significant impact on economic growth. As a fiscal policymaker, the government must be cautious in managing the state revenue and expenditure budget, ensuring that sectors prone to price increases in goods and services are carefully monitored. Additionally, the government should continue to optimize regional tax collection while maintaining efficient spending to increase government savings, which are essential for development, particularly in opening economic sectors in underdeveloped areas.

This report presents the results of educational activities on planning a Budget Plan (RAB) for the construction of a simple house in the Taktakan area, Cilowong Village, Serang City. The aim of this activity is to increase public understanding of the importance of good budget planning and utilizing online-based software in preparing RAB. This activity includes direct training, interactive discussions, and practice using the software, so that participants can apply the knowledge gained. Situation analysis shows that many people do not understand the RAB, which has the potential to cause budget waste. With this education, it is hoped that people can be more independent in planning house construction, reduce the risk of waste, and improve their quality of life. It is also hoped that this activity will become a model for other regions facing similar challenges.

This study aims to determine the effect of company size, transfer pricing, and capital intensity on Tax avoidance. Data were taken from energy sector companies listed on the Indonesia Stock Exchange for the period 2019-2023. The research method used is quantitative with data analysis using panel data regression using eviews 13 software. Samples were taken from 88 companies using the purposive sampling method and 7 companies were obtained from 88 companies over a period of 5 years, thus obtaining 35 research sample units. The results of the analysis show that company size has a significant effect on Tax avoidance, while transfer pricing and capital intensity do not have a significant effect. These results are not in line with several previous studies.

This research aims to determine the effect of profitability, sales growth, deferred tax expense, and capital intensity on tax avoidance. The object of this study consists of manufacturing companies in the non-cyclicals sector listed on the Indonesia Stock Exchange (IDX) in the financial statements during the period from 2020 to 2023. The sampling technique in this study used purposive sampling method which resulted in a total sample of 67 companies. The analysis technique used is multiple linear regression analysis using SPSS version 22.0 software. The results of this study indicate that profitability, sales growth, and capital intensity have a negative and significant effect on tax avoidance, meanwhile deferred tax expense has no a significant effect on tax avoidance.

The aim of this research is to test and analyze the influence of accounting profit, cash flow, return on assets on stock returns. This research method uses quantitative research methods, with the type and source of data, namely secondary data. The population in this study is the non-cyclical consumer sector listed on the Indonesia Stock Exchange. The technique used is purposive sampling technique and there are 24 companies as samples with 5 years of observation. The analysis method used is a panel data regression model using eviews 12 software. The results of this study partially show that accounting profits have a positive effect on stock returns, cash flow and return on assets have no effect on stock returns.

This research aims to empirically prove the influence of activity ratios, profitability, liquidity and solvency on company value. Partially and simultaneously. The population in this study is industrial sector companies listed on the Indonesia Stock Exchange in 2020-2023. The sampling method uses a purposive sampling method. The sample in this research was 40 companies over 4 years totaling 160 data, after outlier data the total sample in this research amounted to 140 data. The data analysis technique is descriptive statistics, classic assumption tests, including: (normality test, multicollinearity test, heteroscedasticity test, autocorrelation test), multiple linear regression analysis, hypothesis testing (t test, f & R2 test) using SPSS version 26 software. The results of this research partially show that the activity ratio has no effect on company value. Meanwhile, profitability and solvency ratios influence company value. Simultaneously the activity ratio, profitability, liquidity and solvency influence the company value of industrial sector companies listed on the Indonesia Stock Exchange for the 2020-2023 period.

The performance of educators and education personnel is a key factor in determining student success and the reputation of educational institutions. This study aims to analyze the influence of leadership style, work discipline, and work environment on work motivation and performance among educators and education personnel at MTsN 3 Banyuwangi. Additionally, it examines the role of work motivation as a mediating variable in the relationship between leadership style, work discipline, and work environment with performance. This study employs a quantitative approach, collecting data through questionnaires distributed to 87 respondents, consisting of educators and education personnel at MTsN 3 Banyuwangi. Data analysis is conducted using path analysis with the assistance of SmartPLS V3 software. The findings reveal that leadership style, work discipline, and work environment each have a direct impact on work motivation. Furthermore, these factors also directly influence performance. Work motivation itself significantly affects performance. However, the indirect influence of leadership style, work discipline, and work environment on performance through work motivation as a mediator is not significant. Thus, this study concludes that leadership style, work discipline, and work environment play a crucial role in directly enhancing the motivation and performance of educators and education personnel. Therefore, direct management of these factors should be a top priority in improving performance at MTsN 3 Banyuwangi.

Air transportation is a mode of transportation that continues to grow rapidly in Indonesia, marked by the construction of new airports and the improvement of facilities at existing airports. However, flight delays remain one of the main issues faced by the aviation industry, including by Super Air Jet. This study aims to analyze the effect of flight delays on passenger satisfaction at Super Air Jet at Sultan Aji Muhammad Sulaiman Sepinggan International Airport, Balikpapan. The study used a quantitative approach involving 97 respondents who were Super Air Jet passengers. Data management was carried out through several stages of testing, namely instrument testing (validity and reliability), data quality testing (linearity, normality, and heteroscedasticity), and hypothesis testing using simple linear regression analysis, t-test, and coefficient of determination (R²) with the help of IBM SPSS Statistic 22 software. The results of the study indicate that flight duration has a significant effect on passenger satisfaction. This finding emphasizes the importance of improving service quality, especially in efforts to minimize delays, in order to maintain passenger trust in the airline. This study is expected to be a reference for Super Air Jet management in identifying the main causes of flight delays and developing effective strategies to improve passenger satisfaction.

This research aims to find out whether profitability, solvency and liquidity influence company performance. The population in this research is property & real estate companies listed on the Indonesia Stock Exchange. The sampling technique used in this research is the purposive sampling method. The samples used in this research were property & real estate issuers, totaling 75 samples. This research uses secondary data obtained from the official website of the Indonesian Stock Exchange, namely www.idx.co. The analysis method used used the Statistical Package for Social Science (SPSS) software version 25. The research hypothesis was tested using descriptive statistical analysis, classical assumption tests, multiple linear regression analysis tests and hypothesis testing. The results obtained in this research indicate that (1) profitability has a significant effect on company performance (2) solvency has a significant effect on company performance (3) liquidity has no effect on company performance.

The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method

Penelitian ini bertujuan untuk merancang sistem monitoring deteksi dini kebakaran pada ruang server. Kebakaran merupakan ancaman serius yang dapat mengakibatkan kerusakan fatal pada peralatan di ruang server dan potensi kehilangan data pada storage. Untuk menunjang penelitian yang memanfaatkan otomatisasi dan hal yang bersifat real time, maka diperlukan komunikasi antara sensor-sensor dan software yang juga disebut teknologi Internet of Things (IoT). Dalam penelitian ini, sensor-sensor yang dimaksud yaitu Flame Sensor yang berguna sebagai pendeteksi radiasi dari nyala api, Sensor MQ 2 sebagai  pendeteksi asap dan Sensor DHT 11 untuk mendeteksi perubahan suhu yang  signifikan. Untuk mempermudah dalam pemantauan, juga di lengkapi dengan laman web server yang dapat diakses dengan mudah serta menggunakan beberapa output, antara lain buzzer sebagai sirine bahaya, pilot lamp untuk memberikan sinyal visual adanya suhu yang tidak normal serta outpur exhaust fan untuk membantu sirkulasi udara di dalam ruang server. Implementasi dalam rancang bangun sistem monitoring ini diharapkan dapat membantu memastikan performa server dalamkondisi yang selalu optimal dan mengurangi resiko kebakaran yang lebih fatal serta dapat mengurangi beban kerja staf pengelola di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Semarang.

This study aims to examine the Effect of Modernization of Tax Administration System, Tax Socialization and Tax Behavior Awareness on Taxpayer Compliance with Income Level as Moderation Variable. This researcher uses primary data by distributing questionnaires to two-wheeled motor vehicle taxpayers at Samsat Bekasi City. The determination of the sample in this study used the purposive sampling method. The Population in this study was 100 taxpayers. This study uses Smart PLS 3.0 Software. The results of this study indicate that modernization of the tax administration system and tax socialization have no effect on taxpayer compliance. While tax behavior awareness has a positive and significant effect on taxpayer compliance. Income level cannot moderate the effect of modernization of the tax administration system, tax socialization and tax behavior awareness on taxpayer compliance.