Publication Search

This study aims to determine the effect of using the Rotating Wheel (DaPur) learning media on the understanding of multiplication concepts of second-grade students at Tugu Utara 03 Elementary School, North Jakarta. The study was conducted in February 2025 with a quantitative approach and quasi-experimental design. The research sample consisted of 60 students divided into two classes, namely class II A as the control group and class II B as the experimental group, each consisting of 30 students. Data collection was carried out through the administration of pre-tests and post-tests. The instruments used have been tested for validity and reliability, with the results that all questions were declared valid and reliable (Cronbach's Alpha = 0.896). Data were analyzed using an independent sample t-test. The results of the analysis showed that there was a significant difference between the post-test scores of students in the experimental class and the control class, with a t-value of 27.757 and a significance of 0.001 (<0.05). This proves that the rotating wheel media has a positive and significant effect on the understanding of multiplication concepts. The Spinning Wheel media has been proven to help students understand multiplication material in a more enjoyable and concrete way, thereby improving their abilities in the aspects of translation, interpretation, and extrapolation of concepts. Based on these results, it can be concluded that the Spinning Wheel (DaPur) media is effective for use in mathematics learning, especially multiplication material.

The implementation of Universal Health Coverage (UHC) has become a key priority of the Semarang City Government's policy in achieving equitable and sustainable health insurance. This study aims to evaluate the implementation of the UHC program in Semarang City, focusing on three main aspects: financing, accessibility, and the quality of health services. Additionally, this study examines the effectiveness of the Pangeran Diponegoro Program as a local innovation to accelerate universal coverage achievement. The research employs a mixed-methods approach, with data collected through surveys of 100 respondents, in-depth interviews with policymakers and service providers, and analysis of regional policy documents. The findings show that although UHC membership coverage has reached 99.92%, challenges remain in accessibility and service quality, particularly in the suburban areas and vulnerable populations. The SERVQUAL analysis of service quality shows high scores for empathy and responsiveness but lower scores for reliability and service assurance. The Pangeran Diponegoro Program has proven effective in reaching unregistered groups, but still faces coordination issues between sectors and limited human resources. The study recommends strengthening collaborative governance, improving data verification systems, and developing community-based service innovations to ensure the sustainability of UHC.

This study aims to analyze the influence of leadership style and work productivity on employee performance both partially and simultaneously. This study uses a quantitative approach with a saturated sampling method on the entire population of DPMPTSP employees totaling 59 respondents. Data were collected through questionnaires and analyzed using multiple linear regression and validity, reliability, T-test, F-test, and coefficient of determination tests with the help of SPSS software version 21. The results of the t-test that leadership style (X1) has a significant effect on work performance, can be seen from the calculated t value of 3.365> t table 2.003 and a significance value of 0.001 <0.05, Work productivity (X2) has a significant effect on performance obtained a calculated t value of 2.333> t table 2.003 and a significance value of 0.023 <0.05. The f test obtained a calculated f value of 30.680 > f table 3.16 and a significance value of 0.000 < 0.05, so it can be concluded simultaneously that leadership style and work productivity have a significant effect on employee performance. Leadership style contributes an influence of 47.6%, work productivity of 42.6%, and both simultaneously explain 52.3% of employee performance variables. These findings provide strategic recommendations for government agencies to improve employee performance through strengthening leadership and increasing work productivity.

This research start with the service quality problem regarding those who wish to visit again. This research employed a descriptive research design using quantitative data. This research used both primary and secondary data sources. Tourists at the Nyarai Lubuk Alung Waterfall tourist attraction make up the research population. Using non-probability sampling techniques, the research sample consisted of 276 consumers. Purposive sampling research is the type that is carried out. A Likert scale questionnaire that has gone through validity and reliability testing is used as a collection for data tool and then processed with SPSS 25.00. The results of this research shown that service quality is in the quite agree category, namely 51.81%. Furthermore, the variable desire to visit again is in the agreed category, namely 35.51%. The impact of service quality (X) influences the desire to visit again (Y), with a score of 11.1% and 88.9% influenced by other factors. Additionally, the results of the multiple linear regression analysis yielded a t value of 0.450 with sig. 0.000 < 0.05 and a calculated F value of 1.203 with sig. 0.000 < 0.05, indicating a significant effect of the service quality variable on the desire to return.

This study aims to determine the effect of room rates and room facilities on guest satisfaction at Rocky Plaza Hotel Padang. This type of research is quantitative descriptive research with causal associative methods. The population in this study is consumers who have visited Rocky Plaza Hotel Padang with a sample of 354 respondents. The data in this study used primary data and secondary data. The research instrument uses questionnaires arranged according to the Likert scale.instrument trials use validity tests and reliability tests. Data were analyzed using data metabulation and descriptive data. The results of this study are that room prices at Rocky Hotel Padang show a good category with 67.57%, the level of achievement of respondents in the room price variable is at 67.57% which is categorized as good, which is in accordance with the level of respondents' achievements which are at 66% - 85% is declared a good category. Room facilities at Rocky Hotel Padang show a good category with 66.28%, the level of achievement of respondents in the variable room price is at 66.28% which is categorized as good, which is in accordance with the level of respondents' capian which is at 66% - 85% is declared a good category. The decision to stay at Rocky Hotel Padang shows a sufficient category with 60.93%, the level of achievement of respondents in the variable decision to stay is at 60.93% which is categorized as good, which is in accordance with the level of respondents' achievements which are at 66% - 85% is declared good. Room rates have a positive and significant effect on the decision to stay at Rocky Hotel Padang. Room facilities have a positive and significant effect on the decision to stay at Pangeran City Hotel Padang.  

This research examines the phenomenon of Gado-Gado Boplo as a legendary eating place recognized by Kompas, Flokq, and Nibble articles. The research uses quantitative methods using questionnaires via Google Form and secondary data from the internet, journals and interviews. The sample used was 100 people who had eaten at Gado-Gado Boplo using a Likert scale. All questions were declared valid, with a calculated R value > R table, after which the data was evaluated using Cronbach's alpha for reliability and Pearson Correlation for validity. Apart from that, the Cronbach alpha data value > 0.6 shows its reliability. The data was then subjected to multiple regression analysis, classical assumption testing, and hypothesis testing (T and F tests). The Excellence variable (X3) has a partially significant influence on the Purchasing Decision variable (Y), but the Strength (X1) and Uniqueness variables (X2) do not have a partial influence on the Purchasing Decision variable (Y), according to the T test. Furthermore, jji F shows that variables X1, X2, and X3 all influence Y significantly at the same time. In conclusion, superiority has a favorable and large influence on purchasing choices, but strength and uniqueness only have a small influence. These three X factors all have a significant influence on purchasing choices (Y) at the same time.

Enhancing the efficiency of renewable energy on ships is crucial for reducing dependency on fossil fuels. This research employs the Research and Development (R&D) method, aiming to design and implement a solar panel optimization system for battery charging, with a focus on increasing power efficiency and providing real-time performance monitoring. The system is designed using Maximum Power Point Tracking (MPPT) technology to maximize the solar panel's power output. A 200Wp solar panel with dimensions of 1290 x 760 x 30 mm was utilized. Static testing results show that the deployed sensors possess a high degree of accuracy, with an average error of 0.71% for the temperature sensor and only 1.81% for the light sensor used to monitor environmental conditions. Dynamic and system integration tests prove that the MPPT implementation significantly increases power output efficiency by 30.83% compared to a system without MPPT. Furthermore, the system with MPPT charges the battery approximately 27% faster. Additionally, the developed Modbus protocol-based monitoring system enables comprehensive and remote monitoring of key parameters such as voltage, current, temperature, and light intensity via a cloud database. Data communication reliability tests confirmed the system's capability to transmit entire data packets to a Google Sheets database at a periodic interval of 15 seconds without failure. Based on these results, the developed solar panel optimization system is feasible for implementation in maritime environments to enhance the utilization efficiency of renewable energy and the operational reliability of onboard systems.

This study discusses the effect of valve weight and clearance on the efficiency of a hydraulic ram pump, with a focus on optimizing water discharge efficiency in the Sumberingin Tourism Area, Wringinsongo Village, Tumpang, Malang Regency. The method used in this study is an experiment with variations in valve weight consisting of 10 kg, 11 kg, and 12 kg, as well as valve clearances varying between 16.5 mm, 24.5 mm, and 32.5 mm. The results showed that the combination of a valve weight of 10 kg and a clearance of 16.5 mm produced the highest water discharge efficiency, namely 69.7 liters per minute, with an optimal efficiency of around 33%. In the optimization process, the application of Design of Experiment (DOE) revealed that a valve weight of 11 kg and a clearance of 16.5 mm can produce a maximum discharge efficiency of 63.155 with a desirability value reaching 0.7671. These findings indicate that proper settings on valve weight and clearance can contribute significantly to increasing the efficiency of a hydraulic ram pump. This research provides valuable insights into improving the performance and reliability of hydraulic ram pumps in rural water distribution systems. Understanding the influence of these variables is expected to yield more effective solutions for water resource management, particularly in areas requiring efficient irrigation systems. Furthermore, this research also opens up opportunities for further research on hydraulic ram pump optimization by considering other factors that can influence the efficiency and performance of the overall water distribution system. It is hoped that the results of this research can serve as a reference for the development of more efficient and environmentally friendly hydraulic ram pump technology, as well as supporting the sustainability of water resource management in rural areas.

Based on the results of interviews with HRD BW Luxury Hotel Jambi, it is stated that there are still employees who are often late for work every month. As many as 27% of employees have less than 1 year of service, indicating a high employee turnover rate. In addition, there is no compensation system provided to employees. The employee turnover rate also reached 13%, this became the focus of my research on the influence of work environment and compensation on employee loyalty at BW Luxury Hotel Jambi. Information collection was carried out through distributing questionnaires that had proven their validity and reliability to 90 respondents selected using the total sampling technique. This research is a quantitative descriptive study that uses the clausal associative method. Data analysis was carried out using multiple linear regression tests with the help of SPSS software. The results showed that: work environment variables were in the sufficient category with a percentage of 34.4%, compensation variables were categorised as sufficient with a percentage of 36.6%, and work environment variables were categorised as good with a percentage of 42.2%. The R Square value obtained is 0.325 with a sig level. 0.00 <0.05, then the effect of work environment variables and compensation variables on loyalty is 32.5% and the rest is influenced by other factors.

One of the most common problems that occurs for MSMEs is in their development. Therefore, it is necessary to pay attention to business performance in order to be able to survive and excel in competition. This study aims to test the influence of human resource competence, financial literacy, financial capital, and social capital on the performance of MSMEs in Tempel District, both partially and simultaneously. The research approach uses a quantitative method with questionnaire instruments distributed to 99 respondents of MSME actors through non-probability sampling techniques. Data analysis was carried out using the SEM-PLS method with the help of SmartPLS 4.1.0.9 software, through outer model testing (validity and reliability test) and inner model (VIF, GoF, R2 test and hypothesis test). Hypothesis testing is carried out through the t-test and the f-test. The results of the study show that partially human resource competence, financial literacy, and financial capital have a significant positive effect on the performance of MSMEs, while social capital has a positive but insignificant effect on the performance of MSMEs. The results of the research simultaneously show that human resource competencies, financial literacy, financial capital, and social capital have a significant effect on the performance of MSMEs. The implications of these findings emphasize the need for strategies to strengthen human resource competence, increase financial literacy, optimize financial capital, and develop social capital to strengthen the competitiveness and sustainability of MSMEs in the research area.

This study aims to analyze the effect of training on the performance of regional innovation data entry in Boyolali Regency in 2024 through the BI-SMART system. The population of this research consisted of 83 civil servants (ASN) serving as BI-SMART application operators, with a sample of 30 ASNs selected using purposive sampling. A quantitative approach was employed using a Likert-scale questionnaire, which was tested for validity and reliability. Data analysis was performed using simple linear regression preceded by classical assumption tests (normality and heteroskedasticity tests). The results show that training has a positive and significant effect on the performance of innovation data entry, as evidenced by a t-value of 4.721 and a significance level of 0.000 (<0.05). These findings confirm that structured and practical training can improve the accuracy, completeness, and timeliness of data entry. The study contributes theoretically by strengthening the concepts of transfer of training, adult learning, and Kirkpatrick’s evaluation model, while practically providing strategic recommendations for the Boyolali Regency Government in designing more effective training programs to support data-driven regional innovation governance.

Employee performance plays a crucial role in ensurin the achievement of organizational goals while maintaining the continuity of company operations. Optimal performance reflects the quality of human resources as well as the effectiveness of internal managerial practices. This study aims to analyze the influence of work discipline and intrinsic motivation on employee performance at PT. XYZ. Data were collected through observation and questionnaires, involving 40 employees using a total sampling technique. Data analysis included validity and reliabilityitests, classical assumptionitests, multiple linear regression, partialitests, simultaneous tests, and the coefficient of determination (R²), assisted by SPSS version 27. The results indicate that work discipline (X1) does not significantly affect employee performance, with a significance value of 0.578 > 0.05 and a t-value of 0.561 < 2.026. Meanwhile, intrinsic motivation (X2) has a positive and significant effect on performance, with a significance value of 0.000 < 0.05 and a t-value of 9.004 > 2.026. The F-test yielded a significance value of 0.000 < 0.05 and an F-value of 59.968 > 3.35. These findings highlight the importance of enhancing intrinsic motivation to achieve optimal performance and suggest further research to explore additional variables, providing a foundation for both management and future researchers in developing sustainable, consistent, and comprehensive employee performance strategies.

This study evaluates the service maturity of the e-Visa system at the Class I TPI Cirebon Immigration Office with reference to two ITIL 4 practices: Incident Management and Service Request Management. Operationally, the office acts as a user while technical handling is centralized at a national helpdesk. A mixed-method approach was applied, combining staff/admin questionnaires with instrument validity, reliability checks, snapshot analysis of helpdesk tickets, and brief observations. The analysis identifies key issues: the absence of a locally agreed Service Level Agreement (SLA), delays in resolving high-priority incidents, and inconsistent communication of status and estimated time to resolution. Findings indicate a gap between perceived process maturity and ticket-based operational performance, especially for high-priority cases. The study proposes actionable improvements formalizing SLAs with the central team, a fast-track for urgent cases, concise submission guidance for routine requests, and results of the web-based recommendation dashboard. These results are relevant for similar user units operating under centralized support.

This study aims to analyze the influence of work environment and motivation on employee performance at the Gulkarmat Training Center in East Jakarta. The research sample consisted of 40 respondents taken using census techniques. Data were collected through a questionnaire using a Likert scale and analyzed with SPSS 27 using validity tests, reliability tests, classical assumption tests, multiple linear regression, t-tests, F-tests, and coefficients of determination. The results of the study indicate that partially, the work environment has a positive and significant effect on employee performance with a value of t count = 4.839 > t table = 2.021 and a significance of 0.000 < 0.05. Motivation also has a positive and significant effect on employee performance with t count = 4.840 > t table = 2.026 and a significance of 0.000 < 0.05. Simultaneously, the work environment and motivation have a significant effect on employee performance with F count = 151.448 > F table = 3.25 and a significance of 0.000 < 0.05. The coefficient of determination (R²) of 0.891 shows that 89.1% of employee performance variation is influenced by the work environment and motivation, while the remaining 10.9% is influenced by other factors outside this research model.  

This study aims to find out whether the influence of leadership style, work motivation, and the provision of work compensation on efforts to increase employee loyalty of the Special Region of Yogyakarta (DIY) Post Office. The type of research used in this study is a quantitative research approach. The research conducted sampling at the Special Region Post Office of Yogyakarta. The sampling technique is using the Nonprobability Sampling technique with a saturated sampling approach. The sample used was 56 respondents. The data collection method used a questionnaire that had been tested for validity, reliability, classical assumption test, multiple linear analysis, hypothesis test and determinism coefficient. The data was analyzed using SPSS version 25. The results of the study showed that partially the variables of leadership style had a positive and insignificant effect on the variables of employee loyalty, partially the variables of work motivation had a positive and insignificant effect on employee loyalty, and partially the work compensation had a positive and significant effect on employee loyalty. At the same time, it was shown that the variables of leadership style, work motivation, and work compensation had a positive and significant effect on the loyalty variables of employees of the Special Region of Yogyakarta Post Office.

The rapid environmental degradation currently compels governments and organizations to implement effective preventive measures. This study highlights the urgent need for the implementation of Green Human Resource Management (GHRM) practices and Personal Moral Norms in enhancing Employee Green Behavior within the banking sector. As governments adopt policies related to GHRM, Personal Moral Norms, and Employee Green Behavior, banks, as financial institutions, play a strategic role in promoting sustainability. The objective of this research is to analyze the effects of GHRM and Personal Moral Norms on Employee Green Behavior in the banking sector. A quantitative approach was employed, utilizing a descriptive and associative research design, involving 92 employees from the studied bank branch, with a sampling technique using a census method. Data analysis was conducted using validity and reliability tests, as well as multiple regression analysis with the aid of SPSS 24. The results indicate that GHRM and Personal Moral Norms significantly influence Employee Green Behavior, contributing to 97.8% of the variance in environmentally friendly behavior. These findings provide new insights into the importance of integrating Green values into human resource management and underscore the necessity for banks to adopt policies that support environmental sustainability. This research is expected to serve as a reference for banking institutions in formulating more effective strategies to enhance environmental awareness among employees.

This study aims to analyze the influence of emotional intelligence, work discipline, and job commitment on employee productivity at DP3AP2KB Kota Kediri. The research employed a quantitative approach with a population of 45 employees, all of whom were included as the sample using a saturated sampling technique. The research instrument was a five-point Likert-scale questionnaire tested for validity and reliability. Data were analyzed using multiple linear regression with the aid of SPSS version 25, preceded by validity, reliability, and classical assumption tests (normality, multicollinearity, and heteroscedasticity). The results indicate that emotional intelligence has a significant partial effect on employee productivity, while work discipline and job commitment show no significant effect. However, simultaneously, the three independent variables significantly affect productivity with an Adjusted R² value of 0.846. These findings highlight that emotional intelligence is the dominant factor influencing productivity, whereas work discipline and job commitment function more as basic requirements already embedded within bureaucratic systems. The practical implication of this study suggests the need for soft skill development programs, emotional management training, and the improvement of employees’ interpersonal skills to enhance productivity in the public sector.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.  

This study aims to analyze the role of trainees in supporting the quality of concierge services at Lorin Solo Hotel. The research employed a descriptive qualitative method, collecting data through observation, interviews, and literature review, with participants consisting of concierge trainees, bellcaptains, and the trainee coordinator. The findings reveal that trainees play a crucial role in daily concierge operations, such as welcoming guests, assisting with luggage, providing basic information, and supporting light administrative tasks. Their presence helps speed up service delivery, reduce the workload of permanent staff, and strengthen guest interaction, particularly during high season periods. However, several challenges were identified, including limited experience and practical skills, insufficient knowledge of hotel products and local destinations, lack of active supervision, and short internship durations. These factors impact certain service dimensions, such as assurance and reliability. The study recommends comprehensive pre-placement training, the development of specific SOPs for concierge trainees, improvement in foreign language skills, and regular mentoring from senior staff. These measures are expected to enhance trainee professionalism and overall concierge service quality.

This study investigates the influence of the marketing mix on consumer purchasing decisions at Rahayu Souvenir Shop. A quantitative research approach was applied to examine the relationship between the marketing mix elements and consumer behavior. Data collection involved the use of structured questionnaires distributed to consumers. The sample consisted of 95 respondents, selected using the Slovin formula based on the total population of the shop’s customers. Several statistical tests were conducted to ensure data validity and reliability, including validity and reliability tests, as well as classical assumption tests such as normality, heteroscedasticity, and multicollinearity tests. These tests were prerequisites for conducting multiple linear regression analysis. The results of the analysis revealed that the product variable (X1) does not have a significant influence on consumer purchasing decisions, as indicated by a significance value of 0.625 (> 0.05). On the other hand, the price variable (X2) showed a significant influence with a significance value of 0.020 (< 0.05), while promotion (X3) and location (X4) also had significant effects with significance values of 0.009 and 0.000, respectively. Furthermore, the F-test results indicated that the product, price, promotion, and location variables together have a significant effect on purchasing decisions, as shown by a significance value of 0.001 (< 0.05).