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This study aims to determine the effect of sustainability performance on profitability in manufacturing companies listed on the Indonesia Stock Exchange (IDX). This research is a type of quantitative research. The data used are primary data obtained from 6 manufacturing companies listed on the Indonesia Stock Exchange in 2020-2023 with a total of 24 observation data during 4 years of observation. The data collection technique used is documentation. Data were analyzed using multiple linear regression analysis with SPSSV.27 software. The results of the study show that economic performance (X1) has a positive and significant effect on profitability in manufacturing companies listed on the Indonesia Stock Exchange (IDX) This is evidenced by the t-calculated value of 4.055 > t table 1.725 and a significance value of 0.001 < 0.05. Meanwhile, social performance (X2) has been proven to have a negative and significant effect on profitability in manufacturing companies listed on the Indonesia Stock Exchange (IDX). This is evidenced by the t-calculated value of -4.495 > t table 1.725 and a significance value of 0.001 < 0.05 and the environmental performance variable (X3) also has a positive and significant influence on profitability in manufacturing companies listed on the Indonesia Stock Exchange (IDX). This is evidenced by the t-calculated value of 3.074 > t-table 1.725 and a significant value of 0.006 < 0.05. Partially, these three variables have a significant influence on profitability in manufacturing companies listed on the Indonesia Stock Exchange (IDX) with a value of (R2) of 0.682.

This study aims to understand and analyze the diminishing partnership (musyarakah mutanaqisah) financing products in Islamic banking in Indonesia. This research is qualitative and uses a Systematic Literature Review approach by examining various journals from 2020 to 2024 on Google Scholar with the Publish or Perish software. The results indicate that the presence of the musyarakah mutanaqisah contract can be the best solution for property ownership for the community. The demand for housing is currently increasing. The implementation of Musyarakah Mutanaqisah can be a solution for the community in meeting their requirements; however, there are many aspects of the musyarakah mutanaqisah contract that must be understood to ensure that this product operates well in Indonesia. This contract also requires coordinated and comprehensive administrative support.

In the digital era, the demand for practical and efficient security systems has significantly increased, particularly in the context of access control for restricted rooms or buildings. This research aims to develop an automatic door locking system utilizing an RFID card and a NodeMCU ESP32 microcontroller integrated with Internet of Things (IoT) technology through real-time notifications using the Telegram application. The system is designed to replace conventional locking methods that often present various weaknesses, such as key loss, physical duplication, and lack of remote access capabilities. The development method employed is the Research and Development (R&D) approach, consisting of needs analysis, system design, hardware and software implementation, followed by testing and evaluation. The main components used in the system include the RC522 RFID reader for user identification, Espressif manufactures the ESP-32 microcontroller, which is equipped with Wi-Fi and Bluetooth modules to enable wireless internet connections. NodeMCU ESP32 as the control center and internet connector, a relay module as an electronic switch, and a solenoid door lock as the actuator. The results show that the system is capable of accurately reading RFID card UIDs, granting access to registered cards, activating the solenoid to unlock the door, and sending access status notifications to Telegram in an average of less than three seconds. The system also effectively denies access to unregistered cards and sends warning messages accordingly. Therefore, this system enhances the security and efficiency of room access control and has the potential to be adopted as a prototype solution in the development of smart homes or modern access control systems.

This study aims to determine the effect of communication and work discipline on employee performance through work supervision as an intervening variable at Jambi Ekspres Televisi. The population in this study consisted of 30 employees, all of whom were used as samples using the total sampling technique. This research employed a quantitative approach with a questionnaire based on a Likert scale, and the data were analyzed using the Partial Least Square (PLS) method through the SmartPLS software. The results showed that communication and work discipline were categorized as good and played an important role in improving employee performance through work supervision. Communication had a positive and significant effect on work supervision, while work discipline also had a positive and significant effect on work supervision. However, communication had a positive but insignificant effect on employee performance. Conversely, work discipline had a positive and significant direct effect on employee performance. Meanwhile, work supervision had a negative and insignificant effect on employee performance. The indirect effects of communication and work discipline on performance through work supervision were also negative and insignificant, indicating that work supervision has not yet played an optimal role as an intervening variable. Based on these findings, it is recommended that the company enhance internal communication effectiveness, strengthen the consistent implementation of work discipline, and optimize the role of work supervision to function more as a coaching and motivational tool, thereby contributing positively to improving employee performance.

The limitation of physical memory (RAM) is a primary constraint hindering optimal performance in modern operating systems, especially when running large applications or performing intensive multitasking, often resulting in crashes and high latency. This research aims to quantitatively analyze the effectiveness of Virtual Memory (VM) implementation as a solution to this RAM constraint on the Windows 10 operating system, focusing on VM’s impact on CPU performance, GPU performance, and multitasking response. The methodology employed is a controlled experiment using industry-standard benchmarks: Cinebench R20 (CPU), Unigine Heaven (GPU), and response time measurements in intensive multitasking scenarios. Experimental results demonstrate that VM activation improves CPU/GPU performance by up to 5% and accelerates multitasking response time by up to 15%, confirming VM's effectiveness in mitigating memory bottlenecks. Nevertheless, this study also identifies potential performance overhead stemming from excessive paging and swapping processes, which trigger the phenomenon of Thrashing. Therefore, the research recommends a dual optimization strategy to achieve maximum and stable performance: software optimization via the Least Recently Used (LRU) algorithm to suppress page faults, supported by hardware optimization including the use of an SSD for the swap file and increased RAM capacity.

in private junior high schools throughout Sempu District, female students follow Physical Education, Sports, and Health (PJOK) learning with feelings of boredom, doubt, and difficulty. However, it is not yet known what level of motivation female students have in following Physical Education, Sports, and Health (PJOK).  This study aims to analyze the motivation level of female students in participating in Physical Education, Sports, and Health (PJOK) learning at private junior high schools in Sempu District, Banyuwangi Regency. The research employs a survey method with a descriptive quantitative approach. Data were collected through questionnaires distributed to 62 respondents and analyzed using descriptive statistics with the assistance of SPSS software. The findings indicate that students' motivation in PJOK learning is generally high, with an actual score of 4,637 out of an ideal score of 6,200. The obtained mean score is 3.738, with a Respondent Achievement Level (TCR) of 74.79. Although most indicators reflect a high level of motivation, certain aspects remain in the moderate category, such as indicators X11, X16, X18, and X20. Factors contributing to lower motivation in these aspects may include a lack of variation in teaching methods, limited sports facilities, and insufficient external support. Therefore, efforts to enhance motivation should include more interactive teaching methods, improved sports facilities, and stronger environmental support to further increase students' enthusiasm for PJOK learning.

This study aims to determine the influence of the Independent Learning Independent Campus Program (MBKM) on the soft skills of students of the class of 2021 in the Department of Economic Education, Gorontalo State University. The method used is quantitative with an explanatory approach, which aims to explain the causal relationship between the variables of the MBKM program and students' soft skills. Primary data was obtained through the distribution of questionnaires to 35 respondents who were active students in the batch. Data analysis was performed using simple linear regression with the help of SPSS software version 21. The results of the study show that the MBKM Program has a positive and significant influence on students' soft skills. This means that the higher the level of student involvement in the MBKM program, the better their abilities in terms of communication, teamwork, time management, adaptability, and confidence. The magnitude of the influence of the MBKM program on students' soft skills reached 65.3%, while the remaining 34.7% was influenced by other factors that were not discussed in this study. These findings provide important implications for the development of curriculum and learning strategies in higher education, especially in integrating the MBKM program as an effort to improve the quality of graduates who are ready to face the challenges of the world of work and global society.  

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

Conventional attendance systems often face various problems such as inefficiency, inaccuracies in attendance logging, and limitations in recapitulation processes. Manual systems are prone to human error and time-consuming, while fingerprint-based systems may fail when the sensor is affected by dirty, wet, or damaged fingers. This study aims to develop an attendance system based on Artificial Intelligence (AI) by utilizing the face_recognition function in Python and implementing a microservice architecture to improve efficiency and accuracy in attendance recording. The system is developed using the Agile Feature-Driven Development (FDD) method, which focuses on building system features based on prioritized business values. This method is applied within the Software Development Life Cycle (SDLC) to ensure a structured, iterative, and user-oriented development process. Facial recognition is performed by comparing the encoding of the captured face image with the data stored in the database. The results show that the system is capable of recording attendance automatically, accurately, and in real-time. Furthermore, the recapitulation process becomes more efficient as the system manages and presents the data systematically.

The quality of user experience (Quality of Experience/QoE) in YouTube video streaming services is highly influenced by the quality of network service (Quality of Service/QoS). QoS measurement is conducted using Wireshark software with parameters such as throughput, packet loss, delay, and jitter, and assessed based on the TIPHON standard. Meanwhile, QoE is evaluated through a survey of 30 respondents and measured using the Likert scale.The analysis results indicate that QoS falls into the "Good" category, with a throughput of 1,545.45 kbps at 51.5%, 0% packet loss, 5.69 ms delay, and 0.0015 ms jitter. Additionally, the average QoE score of 4.55 suggests that the user experience is also considered good. Further analysis reveals a correlation between QoS and QoE, where a more optimal network quality positively impacts user experience. These findings provide insights for service providers to optimize streaming quality to meet user expectations.

The purpose of this study is to determine the effect of servant leadership on employee performance through teamwork as an intervening variable at BRIDA Jambi Province. This type of research is quantitative research. The population in this study were all employees at BRIDA Jambi Province, totaling 40 people with a research sample of 40 people. Data collection used a questionnaire that had been tested for validity and reliability. The research analysis method used descriptive statistical analysis using the Structural Equation Model (SEM), with Smart PLS 4.0 Software (Partial Least Square) as a tool to process the data. The results of this study indicate that servant leadership has a positive and significant influence on employee performance, servant leadership has a positive and significant influence on teamwork, teamwork has a positive and significant influence on employee performance, servant leadership has a positive and significant influence on employee performance through teamwork as an intervening variable.

Geographic Information Systems (GIS) play a vital role in managing and analyzing data related to geographical locations. This research aims to develop a Geographic Information System to map the distribution of internship students at Stella Maris University, Sumba, based on their geographical locations. This system is expected to provide clearer and more detailed information regarding the distribution of internship students, making it easier for the university to plan and manage internship activities more efficiently. This system is built using web-based GIS software, with location data obtained from the university's internship management system. By utilizing GIS technology, users can easily access digital maps that show the locations of students' internships and analyze their distribution. The implementation of this system is expected to benefit students, the university, and partner companies in monitoring the progress of the internship program and ensuring its successful implementation. The advantage of this system is its ease of access and use, as well as its ability to provide more accurate and visual data. It is hoped that this system will serve as a reference for the development of similar systems in the future and contribute positively to higher education in Sumba

Rapid developments in information technology have made laptops an essential device for students, especially those in their final year of study. Choosing the right laptop plays an important role in supporting academic productivity, such as writing theses, analyzing data, and developing software. This study aims to classify the preferences of mathematics students at Gorontalo State University in choosing laptops based on usage characteristics and factors that influence purchasing decisions. The method used is Kernel Discriminant Analysis (KDA) with a Gaussian kernel function and an optimal bandwidth of 0.8. The research data involved 268 respondents divided into training and testing data. The analysis results show that the KDA model has an accuracy rate of 60% on the training data and 52% on the testing data, which indicates the model's ability to recognize student preference patterns despite a decrease in accuracy on new data. Based on the kernel density estimation results, Acer is the most widely used laptop brand, while Zyrex and Apple are rarely chosen. The most influential factor in purchasing decisions is processor specifications, with a contribution of 35.739%, followed by brand, warranty, and price. These findings indicate that hardware characteristics are the main consideration in laptop selection, with most students choosing laptops with Intel Core i5 processors, a minimum of 8GB of RAM, and SSD storage. The results of this study can also be used by universities to provide recommendations for selecting laptops that suit students' academic needs.  

This study analyses the influence of village apparatus competence, internal control system and village fund accountability on minimizing the excess of budget calculation village fund. This study uses a descriptive quantitative approach based on primary and secondary data. Data collection techniques use questionnaires and literature. The population of this study was all village apparatuses of Bantan Tengah, Bengkalis sub-district, Bengkalis regency, Riau, totaling 27 people. The sampling technique uses saturated samples so that the number of samples is the same as the population. The data analysis technique uses multiple linear regressions with statistical tools like SPSS software. The study results show that village apparatus competence, internal control system, and village fund accountability positively and significantly affect minimizing the excess of budget calculation village fund. The results of this study can complement existing theories, provide novelty in excess of budget calculation village funds, and add new insights to the perspective of village fund management. Then, the results of this study can be a reference for the village government in minimizing the excess of budget calculation in village fund management.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

This research aims to determine whether there is an effect of FDI, Domestic Investment, and Labor on the GRDP of the Manufacturing Industry Sector in Pekanbaru City. This study uses independent variables such as FDI, Domestic Investment, and Labor with the dependent variable being the GRDP of the Manufacturing Industry Sector in Pekanbaru City. The data used in this study consisted of 2012 to 2024. The method used in the analysis approach is descriptive quantitative, and tested with multiple linear regression using SPSS 26 software.The results of the study indicate that, based on simultaneous regression analysis, FDI, Domestic Investment, and Labor have a significant impact on the GRDP of the Manufacturing Sector in Pekanbaru City. Partially, the Domestic Investment and Labor variables have a positive and statistically significant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City, while the FDI variable has a positive and statistically insignificant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City

Employee performance is one of the most important factors that determine the achievement of company goals. In the modern world of work, workload and work environment are two factors that are most often considered in influencing employee performance. As a company engaged in the service sector. As a company engaged in the field of supporting services for the oil and gas industry, PT Supraco Indonesia requires high-performing employees to provide the best service to its clients. This study aims to determine how much influence motivation and service levels have on customer satisfaction in participating in computer training. The research method used is a quantitative approach with data collection techniques using random sampling or purposive sampling, where the entire population of 56 respondents was used as a sample. The data collection instrument used a questionnaire with a Likert scale. Data analysis was carried out using SPSS 27 software with multiple linear regression techniques. The results of the study show that the company size variable in particular, Workload (X1) has a significant effect on Employee Performance with a significant t-value on the level of work environment (X2) also has a significant effect with a significant t-value simultaneously, both have a significant effect on employee performance with a calculated F-value. Meanwhile, the coefficient of determination value shows that the influence of workload and work environment on employee performance is significant.

This study aims to determine the role of work motivation in mediating the influence of work environment and job satisfaction on employee performance of pt nusantara electric. The research method used is descriptive quantitative using a questionnaire. The data analysis technique used in this research is Path Analysis with the Structural Equation Modeling-Partial Least Square approach. Sampling in this study using saturated sampling technique, with a sample size of 58 employees. Data were collected through a questionnaire with a Likert scale which was processed using Microsoft Excel 2016 software and SmartPLS version 4.1.1.2. The results of this study indicate that work environment variables have no significant effect on employee performance. Job satisfaction variables have a positive and significant effect on employee performance. Work environment variables and job satisfaction have a positive and significant effect on work motivation. Work motivation variables have a positive and significant effect on employee performance. Work motivation variables are not able to mediate the effect of work environment on employee performance. Work motivation variables are able to mediate the effect of job satisfaction on employee performance.

This study aims to analyze the influence of academic achievement, internship experience, competence, and work motivation on the work readiness of Gunadarma University Management students in the Depok region. The research employed a quantitative method using primary data collected through questionnaires. A total of 250 valid responses were obtained using a non-probability sampling technique with purposive sampling. Data analysis was conducted using Smart PLS 4 software with several testing stages, including convergent validity, Average Variance Extracted (AVE), composite reliability, Cronbach’s alpha, discriminant validity, R-square test, predictive relevance (Q²), and hypothesis testing. The results indicate that academic achievement, internship experience, competence, and work motivation significantly influence students’ work readiness, both directly and indirectly. These findings highlight the importance of enhancing practical experience and internal motivation among students to better prepare them for the increasingly competitive job market.

In the era of globalization and increasingly tight competition, employee performance is one of the determining factors for the success of public services and the implementation of government work programs. Therefore, the quality of human resources owned plays a very important role in supporting the success of the organization, including in the Bogor Regency Transportation Service environment. This study was conducted against the background of indications of problems in motivation and job training at the Bogor Regency Transportation Service Secretariat. This study uses associative statistical quantitative methods. Data were collected through questionnaires distributed to 40 respondents with total sampling techniques. Data analysis was carried out using SPSS software version 23, primary data collection through questionnaires and secondary data from journals and relevant scientific works. The data obtained were then analyzed through validity tests, reliability, multiple linear regression, T tests, F tests, and coefficient of determination tests. The results of the study showed that motivation has a significant positive effect on employee performance, with a t-count value of 3.988 and a significance of 0.000. And also, job training has a significant positive effect on employee performance, with a t-count value of 5.694 and a significance of 0.000. Simultaneously, motivation and work training together influence employee performance by 74.5%, while the remaining 25.5% is influenced by other variables not discussed in this study.