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The café industry has become increasingly competitive, including in the Arcamanik District of Bandung City. This study seeks to investigate the extent to which marketing intelligence capabilities influence the competitiveness of café MSMEs in the region. A descriptive and verificative research approach was employed, utilizing linear regression analysis with the assistance of SPSS version 20 software. The study population consisted of 43 café MSME entrepreneurs, selected through a saturated sampling technique, thereby including all members of the population. Data were collected through field studies—comprising questionnaires, interviews, and direct observations—as well as literature reviews to strengthenthe theoretical framework. The results demonstrate that marketing intelligence capabilities have a significant effect on competitiveness. This finding highlights the critical role of marketing intelligence in enabling café MSMEs to sustain their operations and enhance their competitive advantage. Strengthening marketing intelligence can serve as an effective strategic approach for café MSMEs to ensure business sustainability and improve competitiveness. The study suggests that future research may incorporate moderating variables such as digitalization or service quality to further explore the dynamics between marketing intelligence and competitiveness.

This study aims to: (1) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension and self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan; (2) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension of 10th-grade students at SMA Negeri 3 Tarakan; (3) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan. The research population included all tenth-grade students of SMA Negeri 3 Tarakan in the 2024/2025 academic year. The research sample consisted of two classes selected randomly: one experimental class receiving discovery learning with an aptitude treatment interaction strategy and one control class receiving conventional learning. The research instruments consisted of a test measuring mathematical concept understanding on trigonometry material and a self-efficacy questionnaire. The data obtained were tested for prerequisites through normality and homogeneity tests before being analyzed using inferential statistical tests in the form of an independent samples t-test with the assistance of SPSS software version 26.0. The research results show that the implementation of the discovery learning model with the aptitude-treatment interaction strategy has a significant impact on students' mathematical concept understanding and self-efficacy simultaneously, with a significance value of 0.006 < 0.05. Partially, this learning model has a significant effect on students' mathematical concept understanding, with a significance value of 0.018 < 0.05. However, the effect of the discovery learning model with the aptitude-treatment interaction strategy on students' self-efficacy is not statistically significant, as indicated by a significance value of 0.089 > 0.05, even though there is a tendency for increased self-efficacy among students participating in the experimental class learning. Nevertheless, the influence of the discovery learning model with the aptitude treatment interaction strategy on students' self-efficacy is not statistically significant in partial terms, although there is a tendency for an increase in self-efficacy among students participating in the experimental class. These findings suggest that the discovery learning model with the aptitude treatment interaction strategy is effective in improving students' understanding of mathematical concepts in trigonometry material and has the potential to support the development of self-efficacy in mathematics learning.

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.

This study aims to systematically analyze the implementation of formative and summative assessments in Grade IV Islamic Religious Education (PAI) at SDN 2 Konda within the framework of the Merdeka Curriculum. The research employs a qualitative approach with a case study design to obtain an in-depth and contextual understanding of classroom assessment practices. Data were collected through classroom observations, in-depth interviews with teachers, the principal, and parents, as well as an analysis of curriculum documents and various assessment instruments used throughout the learning process. The data were analyzed using thematic coding techniques supported by NVivo software, guided by the Formative Summative Continuum framework to examine the alignment and integration between both assessment types. The findings indicate that teachers have regularly implemented formative assessment through digital quizzes, direct observation, reflective discussions, and continuous feedback, which have increased student participation and strengthened competency mastery. Meanwhile, summative assessment was conducted at the end of the semester through written tests and project-based assignments; however, it still primarily emphasizes cognitive aspects and has not fully integrated formative assessment evidence. The study also identifies limitations in the use of multidimensional rubrics, continuous portfolio management, and meaningful parental involvement in the overall evaluation process.

Pyrolysis is a biomass conversion method into fuel through heating at high temperatures under oxygen-limited conditions. The main factors influencing the pyrolysis process include temperature, residence time, pressure, particle size, reactor design, and the type of pyrolysis employed. This study aims to design an auger-type fast pyrolysis system based on previous research. The design and modeling of the fast pyrolysis equipment were carried out using Autodesk Inventor 2021 software. Based on the calculation and design results, a fast pyrolysis reactor with a multi-stage configuration and a capacity of 5.2 kg was developed. The system consists of a three-stage reactor made of Stainless Steel 304. The reactor is equipped with a screw conveyor for material transport, which is driven by an electric motor. Biomass heating inside the reactor is provided by a clamp heater with an electrical power requirement of 611 W, while biomass cooling is performed using a condenser with a cooling water capacity of 15.586 liters. Based on the structural simulation results, the maximum von Mises stress obtained was 35.4 MPa, the maximum displacement was 0.0528 mm, and the safety factor was 6.07 under loading conditions including an internal reactor pressure of 0.32 MPa, a torsional moment of 1,130 kg·mm, and an operating temperature of 700 °C. These values are within the allowable limits of the material, indicating that the designed reactor is structurally safe and feasible for use.

The stability of disposal slopes is a critical aspect of open-pit mining operations because it directly affects operational safety and the continuity of overburden dumping activities. Disposal areas composed of overburden materials generally exhibit heterogeneous characteristics, particularly when soft materials such as mud are present, which can significantly reduce slope stability. Therefore, a comprehensive slope stability evaluation is required prior to further disposal development. This study aims to assess the stability condition of a disposal slope under initial conditions, evaluate the influence of material conditions, and analyze the effectiveness of counterweight application in improving both the safety factor and disposal capacity. The research methodology involved the collection of primary and secondary data, including slope geometry, lithological conditions, and the physical and mechanical properties of disposal materials obtained from laboratory testing and company technical data. Slope stability analysis was performed using the limit equilibrium method with the assistance of geotechnical software, taking into account groundwater conditions and operational loading. The analysis results indicate that the initial disposal condition yielded a safety factor of 0.718, indicating an unstable slope condition. After simulating the removal of mud material, the safety factor increased to 0.907 but remained below acceptable stability criteria. The application of a counterweight significantly improved slope stability, resulting in a safety factor of 1.498. Further optimization through slope geometry redesign produced a final safety factor of 1.101, which satisfies the requirements stipulated in KEPMEN ESDM No. 1827 K/30/MEM/2018. Additionally, the redesign increased the disposal capacity from 119,507,864.23 LCM to 119,682,378.22 LCM, representing an increase of 174,513.99 LCM. These results demonstrate that counterweight application combined with geometric optimization is effective in enhancing both slope stability and disposal capacity.

Mental health is a very important element in supporting students' academic success. As a group at a vulnerable age, students often face academic, social, and psychological pressures that can affect their mental health and academic performance. This study aims to examine the impact of mental health on the academic performance of students at the Faculty of Economics, Pasim National University. The method used in this study is a quantitative approach with data collection through questionnaires. The research subjects consisted of 123 students in their first semester, where the sample included 94 respondents selected using the Slovin formula. The data were analyzed using SPSS software, including validity, reliability, and normality tests, simple linear regression, coefficient of determination, and ANOVA. The findings of this study indicate that all measurement tools used are valid and reliable. Normality testing shows that the data have a normal distribution. The regression analysis results showed a significant positive effect of mental health on students' academic performance. An R-squared value of 0.410 indicates that mental health contributes 41% to the variation in students' academic results, while the remaining 59% is influenced by other factors. The results of the ANOVA also showed a significance level of 0.000 (<0,05). confirming the suitability of the regression model. Therefore, it can be concluded that mental health plays a significant role in improving student academic achievement. This research is expected to provide educational institutions with a basis for designing mental health support policies and programs to improve student academic quality.

Canker sores are an inflammation of the oral tissues, generally caused by bacterial and fungal infections. They can cause pain and discomfort and reduce the sufferer's quality of life. Treatment for canker sores has been dominated by synthetic drugs, but they are less popular among the public, especially children, due to discomfort and concerns about side effects. Therefore, we need safer and more easily accepted alternative treatments based on culturally derived materials. This study is to investigate the potential of pineapple and melon stems formulated in the form of gummy candy nanosimplicia as a complementary therapy in the treatment of canker sores. The research method was carried out through a literature review by collecting scientific articles from the PubMed, ScienceDirect, and Google Scholar databases, then analyzed using VOSviewer software to map emerging research trends and potential. The analysis results indicate that there are approximately 600 articles discussing the active metabolite content in pineapple and melon stems that have antibacterial and antifungal activity, as well as the development of innovative preparations such as gummy candy as a delivery medium for bioactive compounds. The implications of this study indicate that the combination of pineapple stem and melon nanosimplisia has the potential to be developed as a safe, attractive, and effective natural herbal candy product for the prevention and treatment of mouth ulcers, especially in children.

This community service activity aims to strengthen students’ soft skills and hard skills through public speaking and computer network cabling training at SMA Negeri 1 Sorong City. The activity's background is rooted in the state of computer learning, which still focuses on the introduction of software and hardware, while communication skills and computer network practices have not been fully developed. The method for implementing the activity uses an experiential learning approach, comprising the planning, socialization, training, and evaluation stages. Soft skills training is focused on improving public speaking skills through public speaking practice, while hard skills training is carried out through direct practice of computer network cabling using UTP cables and supporting devices. The results of the activity show an increase in students’ communication skills and self-confidence, as well as an increase in students' understanding and technical skills in computer network cabling. This activity provides an applicable learning experience and strengthens the synergy between universities and high schools in developing student

Students’ learning motivation is a crucial factor in determining the success of the learning process in schools and is influenced by various external factors, including teacher competence and learning facilities. Teachers with adequate competence are able to manage learning activities effectively, while sufficient learning facilities create a conducive environment that supports student engagement and enthusiasm for learning. This study aims to analyze the effect of teacher competence and learning facilities on students’ learning motivation at SMA Islam Al-Munir Bekasi City. This research employed a quantitative method with an associative approach. The research population consisted of all eleventh and twelfth-grade students of SMA Islam Al-Munir Bekasi in the 2024/2025 academic year, totaling 55 students. A saturated sampling technique was applied, in which the entire population was used as the research sample. Data were collected through questionnaires distributed to respondents and supported by interviews, observations, and documentation. The collected data were analyzed using multiple linear regression analysis with the assistance of SPSS software. The results indicate that teacher competence has a positive and significant effect on students’ learning motivation, meaning that higher levels of teacher competence in pedagogical, professional, personal, and social aspects lead to increased student motivation. In addition, learning facilities also have a positive and significant effect on students’ learning motivation, showing that adequate learning infrastructure and facilities are able to enhance students’ interest and enthusiasm for learning. Simultaneously, teacher competence and learning facilities have a significant effect on students’ learning motivation at SMA Islam Al-Munir Bekasi City. The implications of this study emphasize the importance of continuous efforts by schools to improve teacher competence and to provide and maintain adequate learning facilities in order to create a more effective learning process and to strengthen students’ learning motivation.

This research is motivated by a significant decline in sales of herbal products/jamu (herbal medicine) from PT Martina Berto Indonesia during the 2021–2024 period, as reflected in the 2024 annual report. This downward trend indicates issues related to customer satisfaction and loyalty, changes in consumer perceptions of the product, and increased competition from other herbal brands. The continued decline in sales in 2024, reaching IDR 95 million, indicates a serious challenge to the product's sustainability in the market. This study aims to examine the influence of perceived value on customer loyalty of Sariayu Herbal Scrub through customer satisfaction in Bandung City. This study employs quantitative methods, incorporating verification approaches. The data used in this study consist of primary and secondary data. The sample consisted of 115 respondents. Data analysis was performed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with the assistance of SmartPLS 4 software, and the sampling method applied was the sample size technique. The results of this study indicate that perceived value has a positive and significant influence on customer satisfaction, customer satisfaction has a positive and significant influence on customer loyalty, and perceived value has a positive and significant influence on customer loyalty. However, perceived value influences customer loyalty indirectly through customer satisfaction. These findings offer practical insights for companies to improve perceived value and customer satisfaction, key strategies to enhance customer loyalty, and maintain business sustainability.

Background: Accurate detection of renal cysts on CT urography requires high diagnostic precision, while manual interpretation by radiologists is susceptible to inter-observer variability and potential delays in clinical decision-making. These challenges underscore the need for a reliable automated detection system to support radiological assessment. Objective: This study aims to develop and evaluate the performance of the Neo-ZasAI application based on the YOLOv8 algorithm for the automatic identification of renal cysts. Methods: Employing a Research and Development design using the ADDIE model, the study encompassed needs analysis, model design, software development, system implementation using 200 CT urography images, and diagnostic performance evaluation. Classification results generated by Neo-ZasAI were compared with radiologist readings through confusion matrix analysis and ROC–AUC assessment. Results: The findings indicate that Neo-ZasAI achieved an accuracy of 97,5%, sensitivity of 96%, specificity of 99%, positive predictive value of 98,9%, and negative predictive value of 96,1%. The ROC analysis yielded an AUC of 0.988 (p < 0.001), demonstrating excellent discriminative capability and high concordance with radiologist interpretations as the diagnostic gold standard. Conclusion: These results suggest that Neo-ZasAI is capable of performing rapid, consistent, and accurate renal cyst detection and is thus feasible for implementation as a clinical decision support system in radiology, with potential integration into PACS workflows and further development to enhance model generalizability.

Plastic waste has become one of the main environmental problems due to its nature, which is difficult to decompose naturally and can cause environmental pollution. One alternative waste treatment method that can be applied is to use a plastic melter to melt and recycle plastic waste into useful products. However, the design of plastic melters often lacks consideration of structural strength and safety aspects during the operation process. This study aims to design and engineer a plastic melter using the Finite Element Analysis (FEA) simulation approach to analyze structural resistance to thermal and mechanical loads that occur during the operation process. The research method was carried out through 3D design modeling of plastic melter components using Solidworks software, followed by analysis with FEA simulation on the main component, namely the melting tube. The parameters analyzed include the distribution of von Mises stress, the amount of displacement, and the safety factor. The analysis results show that the analyzed components experience von Mises stress distribution and displacement that are still below the material tolerance limits, with safety factor values above the recommended safety limits. Thus, the resulting plastic melter design is declared safe and can proceed to the manufacturing process. Therefore, the plastic melter design is safe, strong, and feasible to be realized as an effective and sustainable plastic waste processing technology solution.

The computer network management practice at the Sorong City Public Works and Public Housing (PUPR) Office aims to improve the technical competence of employees in understanding, operating, and maintaining computer network devices, both hardware and software. This activity was carried out through four stages: observation, socialization, training, and evaluation, with a hands-on approach that emphasized direct participant involvement as the key to competency improvement. The results of the activity showed that employees gained a better understanding of network device configuration, cable management, and the use of network support software, and were able to solve simple technical problems independently. Post-training evaluations showed a significant increase in participants' technical abilities, which had a positive impact on operational efficiency and service quality at the agency. Thus, the hands-on practice supported by intensive mentoring proved effective in developing human resource competencies in the field of computer networks and supporting digital transformation within the Sorong City PUPR environment.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

This research seeks to examine the influence of taxpayer knowledge, taxpayer awareness, and tax sanctions on the compliance of motor vehicle taxpayers in Boyolali Regency. Motor vehicle tax constitutes a significant component of regional original revenue; however, the level of revenue realization has not yet fully met the established targets, indicating the presence of compliance-related challenges. The study adopts a quantitative explanatory design. Primary data were obtained by distributing questionnaires to 100 motor vehicle taxpayers registered at the Boyolali Samsat Office, with respondents selected through accidental sampling based on the Slovin formula. Data analysis was conducted using multiple linear regression with the assistance of SPSS software, following preliminary tests of validity, reliability, and classical assumptions. The findings demonstrate that taxpayer knowledge and taxpayer awareness exert a positive and statistically significant effect on motor vehicle taxpayer compliance. In addition, tax sanctions are also shown to have a positive and significant impact and represent the most dominant factor influencing compliance. These results are consistent with Attribution Theory and the Theory of Planned Behavior, which highlight the importance of both internal and external determinants in shaping taxpayer compliance behavior. This study is expected to provide empirical support for research on regional tax compliance and offer practical insights for local governments in developing strategies to improve motor vehicle tax compliance.

The aim of the research is to find out the process of developing knowledge learning media based on Android applications.Learning media is very much needed as a tool used in practical learning.Changes in educational progress require innovation in learning media to keep them up to dat and able to overcome new problems that arise. The research method used is the R & D research and development method with the 4D model. The stages of the 4D development model are 1) Definition; 2) Design; 3) Development; 4) Distribution. This research produces android-based textile knowledge learning media. The software used is iSpring Suite Toolkit Authoring based on Power Point; and Website 2 APK Builder.The iSpring Suit software is used in the design and development of learning media, while the Website 2 APK Builder software is used to change Android application programs. Based on the results of the learning media feasibility questionnaire, it can be seen that the textile knowledge learning media is very feasible to use, reaching 90%.

The purpose of this study is to examine the influence of income and employment opportunities on women's decision to become migrant workers, as well as the impact on the level of family welfare of women migrant workers. The approach used is a quantitative method by utilizing primary data collected through the distribution of questionnaires to female respondents who have worked or are currently working as migrant workers in Kecamatan Utan, Kabupaten Sumbawa Besar. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method with the help of SmartPLS software. The research variables were measured using a number of indicators formulated based on the theoretical basis and the results of previous studies. The findings show that income has a positive and significant influence on women's decision to work as migrant workers, with a coefficient of 1.940 and a p-value of 0.000. In contrast, employment opportunities have a negative and significant effect on the decision, with a coefficient of -1.147 and a p-value of 0.000. Furthermore, women's decision to become migrant workers has a positive and significant effect on family welfare, as shown by a coefficient of 0.594 and a p-value of 0.001. However, income does not have a significant direct effect on family welfare, with a p-value of 0.151. Meanwhile, employment opportunities have a positive and significant influence on family welfare, with a coefficient of 0.691 and a p-value of 0.030. These results indicate that women's decision to become migrant workers functions as a mediating variable in efforts to improve family welfare.

The Indonesian Civil Servants Cooperative (KPRI) plays an important role in enhancing member welfare and supporting the national economy. Nevertheless, increases in business volume and own capital do not necessarily translate into higher profitability, while the number of members an essential characteristic of cooperatives is also assumed to influence financial performance. This study aims to examine the effect of business volume and own capital on cooperative profitability, with the number of members acting as a mediating variable. A quantitative approach was employed using secondary data derived from the financial statements of KPRI in Bogor City during the 2020–2024 period. Purposive sampling was applied, resulting in 12 cooperatives with a total of 60 observations. Panel data regression analysis was conducted using EViews software, and mediation effects were tested using the Sobel test. The results indicate that business volume has a positive and significant effect on cooperative profitability, whereas own capital does not show a significant influence. The number of members has a negative and significant effect on profitability. Furthermore, the Sobel test confirms that the number of members does not mediate the relationship between business volume or own capital and cooperative profitability. These findings suggest that enhancing business activities and improving the quality of member participation are more critical for increasing cooperative profitability than merely expanding capital or membership size.

Internal governance and psychological safety are key factors influencing employee performance in private universities in Indonesia. Internal governance ensures efficient and transparent operations aligned with institutional goals, whereas psychological safety allows employees to express ideas and take risks without fear of negative consequences. Organizational communication mediates the relationship between these factors and employee performance. This study aimed to assess the impact of internal governance and psychological safety on employee performance in private universities in Banten, with organizational communication as an intervening variable. This study explores how these elements contribute to performance through effective communication. A quantitative approach was employed with a sample of 50 respondents from private universities in Banten. Data were collected via structured surveys, and SmartPLS 4.0 software was used to analyze the relationships between internal governance, psychological safety, organizational communication, and employee performance. This study found that internal governance positively influenced organizational communication, which significantly enhanced employee performance. Psychological safety also contributes to organizational communication but has a minimal direct impact on performance. Organizational communication plays a crucial mediating role in linking governance, safety, and performance. These findings emphasize the importance of strengthening internal governance, fostering psychological safety, and improving organizational communication to optimize employee performance in private universities. By focusing on these factors, universities can create a more supportive environment that enhances employee engagement and effectiveness of the faculty.