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The manual employee attendance process at the Perjuk Village government level often results in inaccurate data, delayed recapitulation, and difficulties in real-time attendance monitoring. This study aims to develop an Internet of Things (IoT) and Radio Frequency Identification (RFID)-based village employee attendance system to simplify the administrative process and improve the efficiency of attendance recording. The development method used is the Research and Development (R&D) model with stages including needs analysis, system design, validation, field trials, and product revisions. The system was built using an ESP32 microcontroller, an RC522 RFID module, and a Wi-Fi connection to transmit attendance data to a web-based server. Testing was conducted using the black box method to ensure all system features run according to design. The results of the black box test show that all features run according to design. The system records attendance automatically with 100% accuracy, saves data to the server database, and displays reports in the form of tables, graphs, and statistical cards. The study concludes that this IoT and RFID-based attendance system is able to improve the accuracy, speed, and efficiency of recording compared to manual methods, and is in accordance with operational needs at the Perjuk Village Office.

This study aims to evaluate the Figma-based redesign of the BBPMP Central Java website to enhance user satisfaction and visual consistency with national graphic standards. Using a qualitative descriptive approach and the Research and Development (R&D) method, the process included needs analysis, prototype design, expert validation, and user testing. Data were collected through observation, interviews, and Likert-scale questionnaires. The results show that a user-centered redesign significantly improves navigation, visual appeal, and user satisfaction with the website interface. Figma proved to be an effective collaborative tool for developing interactive and standardized design prototypes. These findings provide strategic insights for educational institutions to enhance the quality and attractiveness of digital platforms.

This community service program aims to enhance the capacity of students, teachers, and educational staff at SMK Negeri 2 Prabumulih in utilizing artificial intelligence (AI) technology as a medium for promoting the excellence of their study programs. The activity was conducted in the form of a two-day workshop attended by 50 participants, consisting of students, teachers, and educational personnel. The workshop materials covered an introduction to AI, the application of AI in digital promotion, and hands-on practice in creating promotional content using AI, such as chatbots, AI-based graphic design, and data analysis. The results indicate a significant improvement in participants’ skills in using AI technology to support study program promotion, which positively contributed to increasing the interest of prospective new students. This workshop provides a tangible contribution to human resource development at SMK Negeri 2 Prabumulih and serves as a replicable model for community service initiatives in other educational institutions.

The braking system is a crucial component in a vehicle, where its performance is highly influenced by the wheel's rotational speed and the geometry of the brake pad. This study aims to analyze the impact of wheel rotational speed and variations in pad geometry on the temperature of the brake pad. The braking process generates heat due to friction, which, if not properly managed, can reduce braking performance and accelerate brake pad wear. The experiment was conducted at four levels of wheel rotational speed: 1000 RPM, 1500 RPM, 2000 RPM, and 2500 RPM. The testing system was designed using a braking system simulator equipped with a speed sensor (LM393) and a temperature sensor (K-type thermocouple), which were connected to an Arduino microcontroller and displayed in real-time through a Graphical User Interface (GUI) in MATLAB. The test results indicated that both the geometric shape of the brake pads and the wheel rotation speed significantly affected the resulting temperature. Standard brake pads produced the highest temperature at a speed of 2500 RPM, reaching 63.33°C. In contrast, brake pads with holes offered the best performance by maintaining a lower temperature of only 43.00°C. Furthermore, an increase in wheel rotation speed led to a noticeable rise in temperature; for standard pads, the temperature increased from 36.67°C at 1000 RPM to 63.33°C at 2500 RPM. This demonstrates that RPM is a major factor in heat generation due to friction. The MATLAB GUI effectively visualized the relationship between RPM and temperature, facilitating the analysis and evaluation of the data.

The old bridge structure, are subjects that must be monitored in bridge maintenance. Bridge detection supervision is very necessary to determine structural deformation caused by normal operations or environmental impacts such as temperature, humidity and heavy vehicle loads. Monitoring the structure as a whole also needs to be carried out after extreme conditions occur, such as an earthquake. Research on structural dynamics analysis of steel frame bridge conditions to determine the behavior of the structure. Vibration data is read using a wireless sensor network or accelerometer. The vibration mode signal obtained is processed using Fast Fourier Transform (FFT) analysis via MATLAB software, which will produce a graph of the relationship between the frequency domain and the time domain. Through this graph, the dynamic characteristics of the bridge structure can be analyzed, with several variations in the condition of the bridge structure.

This community service activity aims to improve the competitiveness of Micro, Small and Medium Enterprises (MSMEs) UP2K Unyur Makmur in Unyur Village, Serang City, Banten through the application of digitalisation and product packaging innovation. The main problems faced by partners are limitations in the use of digital technology for marketing and packaging designs that are unattractive and do not reflect the identity of local products. The methods used in this activity include socialisation, training, mentoring, and evaluation of the implementation of digital marketing strategies and packaging design development. The results of this activity show an increase in the ability of MSME actors to use digital media such as marketplaces, social media marketing, and simple graphic design for product promotion. In addition, the packaging innovations introduced were able to increase the aesthetic value and appeal of products in the eyes of consumers. The tangible impact of this activity was an increase in MSME actors' awareness of the importance of digitalisation and packaging innovation in expanding markets and strengthening brand image. This activity is expected to become a model for digital and creative MSME empowerment in the Serang area and its surroundings.

This study aims to analyze the errors made by eleventh-grade students of SMA Swasta Eria in solving word problems related to quadratic equations and quadratic function graphs using Newman’s error taxonomy. The research employed a descriptive qualitative method involving 25 students who were given essay-type tests to measure both conceptual understanding and problem-solving skills. Data were collected from students’ written answers and analyzed according to Newman’s stages, which include reading, comprehension, transformation, process skills, and encoding. The findings reveal that errors occurred across all stages, with transformation errors and encoding errors being the most dominant. These mistakes generally stemmed from students’ inability to extract key information into correct mathematical models, inaccuracies in arithmetic operations, and insufficient understanding of fundamental quadratic concepts and their graphical representations. The results highlight the importance of instructional approaches that emphasize conceptual understanding, varied practice problems, and proper mathematical notation. Regular application of Newman’s error analysis is expected to help teachers provide more targeted feedback and improve students’ problem-solving abilities.

Cash receipts represent one of the essential components for the hospitality industry. Hotels generate revenue primarily through room rentals, the use of available facilities, as well as the sale of food and beverages provided in their in-house restaurants. This study aims to understand how the internal control system is implemented in managing cash receipts and verifying invoices at Hotel XYZ. This research adopts a qualitative method with a descriptive analytical approach. The descriptive analysis in this study involves presenting data in the form of verbal descriptions, images, or graphics. Based on the analysis using the COSO framework, the results indicate that elements such as the control environment and control activities have been implemented effectively and optimally. However, the analysis also reveals that the risk assessment component within the cash receipt process has not yet been fully optimized, indicating a need for additional training and improvement in that area.

Bullying is one of the most common forms of violence still occurring in schools, causing serious impacts on students’ psychological conditions and social development. Various efforts have been made to reduce bullying cases, yet communicative campaign media that match the characteristics of the digital generation remain limited. This study aims to develop educational media based on interactive motion graphics designed with Visual Communication Design principles to support anti-bullying digital campaigns in schools. The research stages include designing the main characters using Adobe Illustrator and Adobe Photoshop, separating body parts in vector format for easier animation, importing the files into Adobe Character Animator, and synchronizing movements, facial expressions, and voices through dubbing processes. The final product is an interactive animation entitled “Berani Bicara, Berani Membela” (Dare to Speak, Dare to Defend), which features three main scenes: bullying in a school corridor, peer support in the classroom, and reporting the case to the guidance counselor. The findings indicate that this media provides a more engaging and interactive learning experience while effectively delivering moral messages. The animation not only emphasizes the importance of victims’ courage to report bullying but also highlights peer support and the school’s role in providing protection. Therefore, interactive motion graphics can serve as an alternative digital campaign strategy that is relevant, easily accepted by young generations, and has the potential to foster safe, inclusive, and friendly school environments for all students.

Many used ABS plastic wastes have problems in their management. The aim of this research is to obtain a prediction of the fatigue life of a mixture of ABS plastic and used ABS as an injection molding product. The research method is carried out through the stages of mixing used ABS with a volume of 10%, 20%, and 30% in ABS grade A and grade B; making fatigue test specimen molds according to R. R. Moore standards, injection molding of a mixture of used ABS and ABS grade A and grade B, checking the straightness and smoothness of the specimen surface, fatigue testing with increasing serial loads, analysis and making a graph of bending stress (S) against fatigue life (N) (S-N Curve). The results of the study showed that the addition of used ABS had an effect on the fatigue life of both grade A and grade B of ABS, where the fatigue life of grade A of ABS increased with the addition of the volume percentage from 0% -30% of used ABS with the highest value at the addition of 30%, namely 43698.9 cycles, while in grade B of ABS, the fatigue life decreased with the increase in volume from 0% -30% with the highest fatigue life in grade B of ABS plastic without a mixture or 0%, namely 41377.5 cycles, the implication of which is that the addition of 0% -30% of used ABS in grade A can increase the fatigue life, but grade B of ABS actually decreases its fatigue life.

Denny's house is one of the houses that uses a minimalist architectural concept. The minimalist concept has become a trend in the world of architecture, because of its simple yet effective concept, minimalist design has become one of the most preferred styles by graphic design professionals, architects, and artists (Aliwafa, 2023). The actualization of the Vitruvius architectural concept is based on Vitruvius's theory of Utility (Function Aspect), Firmitas (Strongness and Structure Aspect), and Venustas (Beauty). By comparing Vitruvius's theory with Henry Wotton's Theory, the aim is to actualize the architectural concept in the contemporary design of Denny's house as well as become a case study that can be accepted by the reader's audience. This case study uses descriptive qualitative techniques of data processing that aim to achieve study results on a comprehensive phenomenon. The application of the Vitruvius architectural concept is the focus of discussion in the contemporary design of the facade of Denny's house which becomes a reference for the discussion to examine with an architectural approach. The house becomes the initial locus of discussion by prioritizing the function of beauty, the function of strength or structure, and the function of venustas or beauty. Vitruvius is a theory used to examine the application of design theory by providing a precedent study of Denny's architectural work, which uses a minimalist functionalist theme. This study examines Vitruvius' theory regarding the relevance of design to Denny's home.

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

This study aims to analyze and determine the optimal production capacity at Sekar Arum MSMEs to achieve maximum profit using the Linear Programming (LP) graphical approach. The research employed a quantitative method with a descriptive approach. The data used included primary data from interviews and observations, and secondary data from production and raw material records. The analysis was conducted by formulating a mathematical LP model consisting of an objective function and constraint functions based on the limited resources available to the enterprise. Data processing was carried out using POM-QM for Windows version 5 with the graphical method to identify the optimal solution point. The results indicate that the optimal production combination is 2 kilograms of red ginger and 3 kilograms of tamarind turmeric, yielding a maximum profit of Rp4,600,000 per production cycle. The implementation of Linear Programming proved effective in assisting MSME owners in making efficient production decisions, thereby enhancing profitability and the sustainable use of resources.

Learning quadratic functions in high school still faces various challenges, primarily due to the abstract nature of the concepts, which require students to have strong analytical thinking skills. These difficulties often result in low student understanding of the relationship between quadratic equations and parabola graphs, as well as limitations in applying these concepts to mathematical problem-solving. GeoGebra, as a technology-based learning tool, offers interactive visualizations that allow students to observe the real-time changes in the shape of a parabola when the coefficients in a quadratic equation are modified. A literature review of recent studies reveals that the use of GeoGebra significantly enhances conceptual understanding, mathematical representation skills, and student motivation. Its effectiveness further increases when combined with appropriate teaching strategies, such as the 5E model (Engage, Explore, Explain, Elaborate, Evaluate), which encourages active involvement and concept exploration by students. However, several challenges remain, including limited access to devices, teachers’ readiness to utilize technology, and suboptimal infrastructure support. Therefore, the integration of GeoGebra into quadratic function learning requires careful planning, teacher training, and adequate facility support to maximize its benefits and improve the overall quality of mathematics education.

In German language courses at universities, students must learn four skills: reading, writing, listening, and speaking. To master these four skills, students must have a good command of vocabulary, as this is the foundation needed to master the German language. This software does not require programming code, so users can easily add graphics and sounds to the game. Without vocabulary, skills such as reading, writing, speaking, and listening cannot be performed. This study aims to create a Construct 2 application that can be used by college students to increase their A1 level German vocabulary. The data for this study is A1 level German vocabulary with the theme “Guten Appetit,” and another source of data is the book “Netzwerk neu A1 Kursbuch” published by Ernst Klett Sprachen GmbH in 2019. This research will be conducted in the foreign language laboratory at UNIMED. The application will be tested by subject matter experts and learning media experts. This research will be published in a nationally indexed journal.

This study is a literature review aimed at examining in depth the concepts, characteristics, learning difficulties, and applications of quadratic functions in secondary mathematics education. The research employs a qualitative approach by analyzing ten articles published between 2019 and 2025 from both national and international journals. The findings indicate that the quadratic function is a fundamental topic in the mathematics curriculum, playing a crucial role in developing higher-order mathematical thinking skills such as analysis, synthesis, and problem-solving. It also serves as a foundation for understanding more advanced topics such as calculus, analytic geometry, and optimization. However, various studies have found that students continue to face significant learning difficulties, including misconceptions related to the shape of the parabola graph, understanding the discriminant value, and connecting algebraic forms to real-world contexts. To address these issues, research suggests that technology-assisted learning—particularly through interactive software such as GeoGebra—has proven effective in enhancing conceptual understanding, motivation, and student engagement. Therefore, this review highlights the importance of strengthening conceptual understanding, applying contextual learning approaches, and integrating digital technology as innovative strategies for teaching quadratic functions at the secondary education level.

Graphic design training is an important strategy to enhance student learning competencies, particularly for students participating in the Internship Program (PKL) at Rideatama. This study aims to provide foundational understanding and advanced skills in using the Canva application as an effective learning medium. The training was attended by PKL students from SMKN 1 Kopang with an interactive learning method and hands-on practice. The evaluation results showed significant improvement in creativity, the ability to utilize design features, and students' confidence in developing independent works. The majority of participants stated that the training material was relevant to their needs, and the instructor's delivery was easy to understand, as reflected in the average evaluation score of 86.67%. Although there were some suggestions regarding the training duration being too short, overall, the activity successfully enhanced student learning competencies. This training is expected to serve as a competency development model that is beneficial for both the education and professional sectors, providing skills that can be directly applied in the field of graphic design.

Air pollution and oil reserves are two major issues in the technological development of the automotive industry. Air pollution is caused by gases from burning fossil fuel vehicles. In 2018-2019 Indonesia experienced a drastic decrease in petroleum resources by 49.8%. To overcome this problem, many researchers have conducted research on electric vehicles, including electric bicycles. This study aims to determine the effect of distance and load on BLDC motor power consumption on a prototype e-bomber electric bicycle designed for all terrains such as rocky, sandy, and muddy, and has a large battery capacity, low power consumption, and an electric motor with good speed and torque. This research uses a pseudo-experimental method with a quantitative approach. Tests were carried out on e-bomber electric bicycles with distances of 3 km, 5 km, and 8 km and loads of 60 kg, 70 kg, and 80 kg with a speed of 25 km / h. The results showed that there was an influence of distance and load on the e-bomber electric bicycle. The results showed that there was an effect of distance and load on BLDC motor power consumption with the results of graph analysis and two-way ANOVA tests conducted and the lowest average power consumption of 500 watts at a distance of 3 km and a load of 60 kg, while the highest average power consumption was 522.5 watts at a distance of 8 km and a load of 80 kg.

Infertility in women is a reproductive health issue that requires early intervention to prevent long-term effects. With the advancement of technology, electronic medical records data can be utilized to assist in the diagnosis and classification of infertility risks. This study aims to classify the risk of infertility in female patients using the Naive Bayes algorithm based on medical record data, which includes factors such as age, health history, and medical test results. The data used in this study were obtained from hospitals and health clinics focused on managing infertility patients. The methods applied include data preprocessing, applying the Naive Bayes algorithm for classification, and evaluating the model using accuracy, precision, recall, and F1-score metrics. The results of the study show that the Naive Bayes algorithm provides fairly accurate classification in predicting infertility risks. The analysis-generated graph shows the distribution of infertility risks, with 60% of patients having a positive risk (1) and 40% having a negative risk (0). This study also suggests implementing the classification results in the form of counseling for patients to increase awareness and encourage early preventive actions. Thus, the Naive Bayes algorithm can be an effective tool in assisting healthcare providers in data-driven decision-making to address infertility risks in female patients.

Coal is an important energy source that is still widely used in industry, especially the power generation industry, because of its high energy content. However, in the process of handling and storage, coal has the characteristic of being easily oxidized, This oxidation process, if it occurs continuously, can cause internal heat accumulation which eventually triggers spontaneous combustion. This study aims to analyze changes in coal quality before and after spontaneous combustionto find out how spontaneous combustionaffects coal quality in stockpiles. The research method used is a quantitative method where the data from laboratory tests on coal quality before and after spontaneous combustionis analyzed, the comparison of coal quality in stockpile 10 before and after spontaneous combustionis then graphed to see changes in the quality of each parameter. Based on the results of the analysis of changes in coal quality before and after spontaneous combustion, there were significant changes to several coal quality parameters, namely Total Moisture which was originally from 7.06% to 5.50% (down by 1.56%), Moisture which was originally 3.91% to 3.22% (down by 0.69%), Ash Content which was originally 8.84% to 14.67% (up by 5.83%), Volatile Matter which was originally 39.77% to 35.10% (down by 4.67%),  Fixed Carbon from 47.48% to 47.01% (down by 0.47%), Sulphur from 0.55% to 0.46% (down by 0.9%), and Calorific value decreased from 6,921 to 6,289 kcal/kg (down by 632 kcal/kg). This decrease in quality has a direct effect on the selling value and efficiency of coal combustion. The existence of an analysis of changes in coal quality due to spontaneous combustioncan help companies to find out how much of an impact losses can be caused by the occurrence of spontaneous combustion. By considering the potential losses due to spontaneous combustion, the company will make efforts to prevent the occurrence of spontaneous combustion in the future to minimize the losses caused.