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The rapid growth of short-form social media platforms has increased the complexity of decision-making during the digital content planning stage. Content creators are required to evaluate the feasibility of content ideas and determine platform suitability prior to production, while most existing tools primarily focus on post-publication analytics. This study aims to design an Artificial Intelligence (AI)-enabled Decision Support System (DSS) to evaluate digital content ideas in the pre-production stage. Adopting a Design Science Research approach, the study develops a conceptual design artifact that integrates intrinsic content idea characteristics with cognitive and affective response modeling grounded in the Stimulus–Organism–Response (S-O-R) framework, alongside platform affordance mapping. The proposed artifact operationalizes a reflective evaluation mechanism that generates platform recommendation scores and idea enhancement suggestions without claiming deterministic or predictive performance modeling. Evaluation was conducted qualitatively through practitioner assessment to examine perceived usefulness, clarity of recommendations, and decision support contribution. The findings indicate that the developed artifact provides a structured reflective framework for early-stage content evaluation. Theoretically, this study extends the application of the S-O-R framework by operationalizing it as a design logic for a pre-production DSS artifact. Practically, the proposed system has the potential to support more systematic decision-making prior to content production.

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.

The development of automation and robotics technology has driven innovation in various industrial fields, particularly in automatic sorting systems. Manual sorting processes often lead to inefficiencies and human errors, creating the need for an automatic, fast, and accurate system. This research employs a qualitative method which includes experimentation, testing, and system documentation. The system is designed as a robotic arm for sorting objects based on color, utilizing a TCS3200 color sensor and an ESP32 microcontroller. An ultrasonic sensor detects the presence of objects, while the sorting results are displayed through a real-time web monitoring system. The test results show that the prototype successfully sorts four primary colors (red, green, blue, and yellow) with a high level of accuracy. This research is expected to serve as a reference for the development of automation systems and robotics learning tools in both educational and industrial applications. In addition, this research also contributes to the development of technology that can increase efficiency and accuracy in industrial production processes and provide more environmentally friendly solutions by reducing the need for manual labor.

Citra Jalatarangga is a karawitan composition that is contextually inspired by the duality of freshwater and seawater springs found at Geger Beach. The duality embodied in this idea serves as the fundamental concept and is subsequently implemented in the formulation and structuring of Balinese karawitan performance techniques. This paper discusses the process of creating the work, the formal structure of the composition, and the aesthetic values contained within it. The karawitan composition Citra Jalatarangga employs three theoretical frameworks as analytical tools to describe the duality of the different water sources. Transformation theory is used to determine the form and structure of the composition, creativity theory serves as a reference in the creative process, and postmodern aesthetic theory functions as a guideline for applying aesthetic nuances to the work. The creative method used in the creation of Citra Jalatarangga is the Panca Sthiti Ngawi Sani method, which consists of five stages: the inspiration stage (ngawirasa), the exploration stage (ngawacak), the conception stage (ngarencana), the execution stage (ngawangun), and the production stage (ngebah). This work utilizes several instruments from the Gamelan Semara Dana as its expressive medium and is structured into three sections, each representing the duality of the water sources through different formulations and performance techniques. In addition, instrument arrangement, costume design, and lighting design also function as supporting aspects in the presentation of the work, which was staged at Wantilan Banjar Sawangan, Desa Adat Peminge.

In Indonesia, mental health issues among adolescents are prevalent. Mental health of both victims and offenders is affected by bullying, and it could lead to ongoing mental health issues such as worry and sadness. The objective of this study is to investigate the connection between bullying and teenage mental health in SMP Negeri 2 Blang Bintang. The study was implemented from June 17 to June 19, 2025, using a cross-sectional design and a quantitative research methodology. A sample of 60 teenagers was chosen via proportional random sampling from the total population of 151 adolescents.The General Health Questionnaire-12 (GHQ 12) and the Olweus Bully/Victim Questionnaire (OBVQ) were the research tools utilized. The chi-squared test was used to evaluate the data. The findings revealed that out of 54 victims of bullying, the majority (48 individuals or 88.9%) had impaired mental health. Conversely, among 6 non-victims, most (5 individuals or 83.3%) did not have impaired mental health. The chi-square test indicated p = 0.001, meaning bullying victims and mental health are significantly correlated.. Additionally, among 49 bullying perpetrators, most (46 individuals or 93.9%) had impaired mental health, while among 11 non-perpetrators, most (8 individuals or 72.7%) did not have impaired mental health. The chi-square test also showed p = 0.001, indicating a strong correlation between the mental health of bullies and their behavior. The researchers recommend the importance of maintaining mental health and collaborating across various sectors to reduce bullying behavior.

The problem lies in the load lock from the wheel arm, the BLDC motor whose distance cannot be adjusted, and the flywheel whose movement is less smooth than the original design. The purpose of refining the design is to obtain smooth movement and the position of the load lock from the wheel arm, the BLDC motor that can be adjusted to be ergonomic and optimal. The method of refining the design and manufacture of the rear shock breaker spring type electric bicycle through the stages of working load analysis, the need for the distance of the load setting position and the BLDC motor, calculating the construction strength, manufacturing components, assembling components, and evaluating the results of the shock breaker manufacture. The results of refining the design and manufacture of the rear shock breaker spring type electric bicycle show that the movement of the load lock position from the wheel arm and the BLDC motor is smooth, the flywheel must be balanced, the dimensions of the shock breaker device are 120 cm long, 49.5 cm wide, 155 cm high, 120 rpm rotation speed, 2 cm shock breaker movement distance, and 1.5 cm sideways movement deviation which implies being able to provide adequate damping for electric bicycle riders well.

This study explores how Eric Carle’s children’s storybook The Very Hungry Caterpillar creates depth in its narrative through visual components and tactile elements despite its limited text. Using a multimodal analysis approach, this study highlights the texture of the collage, the use of symbolic colors, and the die-cut holes as elements that can be felt. The results of this study show that the physical design of this book is not merely decorative, but functions as a key narrative guide that helps children understand the concepts of growth and change independently. The die-cut holes have a specific role as a physical symbol of hunger, allowing young readers to interact directly with the story. The combination of the book’s materials and visual storytelling has proven to transcend language barriers, making it an effective literacy tool for beginner readers. This research confirms that visual storytelling intertwined with the physical form of a book can convey complex philosophical themes more effectively than narratives composed solely of dense text. The success of this book confirms that tactile and visual elements are important literary tools in the world of children’s literature.

The objective of this study is to formulate new propositions on school management based on the findings obtained from the two schools under investigation, namely: (1) school planning in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek; (2) the implementation of school management in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek; and (3) school supervision in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek. This research employed a case study approach with a qualitative research design. The researcher’s presence in the schools served as the primary instrument, supported by non-human instruments as complementary tools. Data sources consisted of primary data in the form of words and actions observed from principals, vice principals, teachers, and administrative staff, as well as secondary data in the form of school documents. Data collection techniques included in-depth interviews, participant observation, and documentation. Data analysis was conducted using the Miles, Huberman, and Saldaña model, which comprises data condensation, data display, and conclusion drawing. The data analysis techniques applied were (1) single-case analysis conducted separately in each school and (2) cross-case analysis conducted by comparing and synthesizing data across cases. The research findings indicate that: (1) school planning to improve teacher performance carried out by principals included (a) adherence to the school’s vision, mission, and objectives; (b) consideration of the results of the School Self-Evaluation (EDS) through SWOT analysis to enhance teacher performance; and (c) the formulation of school activity plans collaboratively with the school committee; (2) the implementation of school management to improve teacher performance by principals involved (a) mobilizing and motivating all members of the school community and utilizing all available school resources; (b) controlling and supervising the implementation of school activities; (c) securing support for school activities from parents/guardians, the school committee, and the community; (d) fulfilling teachers’ needs; (e) proportional distribution of tasks and clear job descriptions aligned with teachers’ competencies; (f) enhancement of teacher competencies; and (g) fostering a culture of mutual cooperation, care, and respect among school members to improve teacher performance.

The automotive industry requires fast and accurate sales services, particularly in vehicle credit simulation processes. At Mazda dealerships, credit simulations are still commonly conducted using conventional tools such as printed installment tables or static PDF documents, which often cause delays and calculation errors. This study aims to design and develop a mobile-based vehicle credit simulation application using the Human-Centered Design (HCD) approach and the Flutter framework. The HCD method was implemented through the inspiration, ideation, and implementation stages to ensure that the application meets the real needs of Mazda sales representatives. The application supports flexible credit calculations based on vehicle on-the-road price, down payment, loan tenor, interest rate, and insurance schemes, including All Risk and combination insurance. Usability testing results show that the proposed application significantly improves calculation speed, accuracy, and overall user experience compared to conventional methods. Therefore, the application effectively supports sales performance, minimizes human error, and enhances professionalism in automotive sales services.

The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

Teaching fiction in Indonesian language classrooms is often constrained by text-centered instruction and limited use of engaging digital media. In the era of Generation Z learners who are visually and digitally oriented, innovative learning materials are needed to enhance motivation, interpretation, and comprehension of literary texts. This study aims to develop and evaluate a Scribus-based digital magazine for fiction learning by integrating the ADDIE model within a qualitative descriptive framework. The research adopted a qualitative descriptive design comprising five stages of the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. The study was conducted at SMP Negeri 10 Semarang, involving one Indonesian language teacher and fifteen Grade VIII students, who were selected through purposive sampling. Data were collected through observation, interviews, and documentation, and analyzed using the Miles and Huberman model (data reduction, data display, conclusion drawing). Media and content experts conducted validation to assess the feasibility, usability, and pedagogical quality of the content. Findings revealed that the Scribus-based learning media effectively increased students’ engagement and comprehension in analyzing fictional elements such as plot, character, and setting. Expert validation results indicated a high feasibility level, with mean scores above 85% in design and content quality. Teachers reported improved classroom interaction and creativity, while students expressed enthusiasm for the visual and interactive format. The study concludes that open-source tools, such as Scribus, can provide cost-effective and pedagogically sound alternatives for developing literary learning media. The integration of ADDIE and multimodal design promotes contextual, engaging, and sustainable learning experiences. Future research should explore multimedia enhancements, such as audio storytelling and cross-curricular applications, to broaden the pedagogical impact.

Model driven Development (MDD) has emerged as an efficient software engineering methodology that focuses on using high-level models as primary artifacts throughout the software development process. The methodology involves transforming abstract models into detailed designs, and eventually into executable code, with the assistance of automated tools. This study evaluates the impact of MDD on the Verification and Validation (V&V) processes within secure enterprise software systems. By comparing MDD-based projects with traditional code-centric development approaches, the study highlights the advantages of MDD in reducing verification time, minimizing defect leakage, and improving the traceability of security requirements. MDD significantly enhances V&V efficiency by automating key processes, which allows for earlier error detection and better resource utilization. Additionally, MDD strengthens security compliance by integrating security requirements early in the development lifecycle, ensuring better alignment between system requirements and their implementation. Despite the clear benefits, challenges such as the lack of standardized tools and the need for specialized expertise in model development were also encountered during the study. The findings of this research offer important insights for enterprise software development teams looking to adopt MDD for more efficient and secure V&V processes. Future research should focus on the long-term impact of MDD on security compliance, as well as its adoption across different industries, to fully understand the practical benefits and challenges of implementing MDD in diverse real-world environments.

This study explores the role of visual analytics in enhancing decision-making processes within creative industries, focusing on its application to large-scale multimedia datasets. Visual analytics integrates interactive visualization techniques with computational algorithms, enabling users to explore complex datasets intuitively and derive actionable insights. The research centers on the design and implementation of interactive dashboards tailored to the creative sector, particularly film, music, and advertising industries, to facilitate real-time data exploration. The study also investigates the usability of these tools through expert-based evaluations, aiming to assess their effectiveness in supporting informed and timely decision-making. The findings reveal that interactive visualizations significantly improve insight discovery and pattern recognition, enabling decision-makers to uncover hidden trends in large multimedia datasets. However, challenges related to scalability, user acceptance, and real-time processing were encountered during the implementation phase. The research highlights the practical benefits of integrating visual analytics into industry workflows, which include enhanced content creation, audience engagement, and strategic planning. Furthermore, the study identifies key visual analytics techniques such as dynamic dashboards, pattern recognition, data mining, and clustering, which are essential for analyzing multimedia data. The study concludes by emphasizing the potential for wider applications of visual analytics in other sectors, suggesting future research directions to improve tool performance, scalability, and user accessibility, as well as exploring the integration of emerging technologies like artificial intelligence and virtual reality.

The empowerment program for Micro, Small, and Medium Enterprises (MSMEs) in Takaras Village, Manuhing Subdistrict, Gunung Mas Regency, was carried out to address the problem of low business visibility due to limited promotional media and minimal use of digital technology. Most MSMEs still relied on traditional word-of-mouth promotion, which restricted market reach and reduced competitiveness. To overcome this, the KKN Reguler I Team Group 55 of the University of Palangka Raya implemented activities consisting of informational banner installation and business location registration on Google Maps. The methods included field surveys, banner design planning using simple digital tools, direct assistance in location registration, and banner installation at business sites. The program involved 26 MSMEs, of which 18 received banner support. The installation of banners provided a clearer visual identity for each business, while the use of Google Maps significantly improved consumer accessibility to business locations and services. The results showed that the combination of offline (banners) and online (Google Maps) promotion was effective in increasing product visibility, attracting more customers, and strengthening consumer trust. This initiative also encouraged MSMEs to adopt digital technology in their marketing strategies. Overall, the program made a tangible contribution to the digital transformation of local MSMEs and laid the foundation for sustainable community economic competitiveness

This study's objective is to describe the implementation of teaching modules as a Christian Religious Education learning strategy at Palangka Raya Christian High School. Teaching modules are used as learning tools in the Merdeka Curriculum to help teachers design structured, contextual, and student-centered learning. Seventeen students in the tenth grade served as research subjects for this study, which employed a descriptive qualitative method. Data collection was carried out thru observation of the learning process, analysis of learning documents, and evaluation results of student learning. The study's findings show that the implementation of teaching modules is able to support the systematic implementation of learning, increase students' active participation in discussions and group activities, and help achieve fairly good assessment results. Nevertheless, some constraints were found in the implementation of learning, such as time limitations and supporting facilities. Overall, the implementation of the teaching module has positive implications for improving the quality of the Christian Religious Education learning process and outcomes, and has the potential to be developed sustainably to shape students' character based on Christian values.  

This study aims to evaluate the relationship between skinfold calliper measurements and handgrip strength with segmental fat and muscle composition among adults in Kota Bambu, providing evidence for simple and applicable community-based screening tools. A cross-sectional design was applied to 135 participants aged 18–96 years. Skinfold thickness was assessed at four anatomical sites (biceps, triceps, suprailiac, scapular), handgrip strength was measured using a digital dynamometer, and segmental body composition was obtained via bioelectrical impedance analysis. Findings demonstrated a moderate positive correlation between handgrip strength and arm skeletal muscle mass (r = 0.371–0.407; p < 0.01), indicating that handgrip performance reflects segmental muscle contractility and functional reserve. Skinfold measurements showed moderate-to-strong positive correlations with both local and central subcutaneous fat distribution (r = 0.562–0.635; p < 0.01), confirming their sensitivity in estimating segmental adipose accumulation. These results highlight that calliper and handgrip strength can serve as practical, low-cost preliminary screening indicators for mapping muscle and fat distribution in urban communities, although they are not substitutes for comprehensive body composition assessment. Further longitudinal studies integrating advanced physiological and functional parameters are recommended to enhance predictive validity and clinical applicability.

The challenges faced by MSMEs in Indonesia, especially in Surabaya, often revolve around business management, finance, and taxation. One potential solution is the integration of the Business Model Canvas (BMC) with financial and tax strategies, which can help MSMEs streamline their operations. The Business Model Canvas (BMC) training program is designed to assist MSMEs in reorganizing their business models and implementing new strategies that address key operational challenges. This program also incorporates financial and tax considerations, helping MSMEs manage their finances more effectively and comply with tax regulations. With this approach, MSMEs are expected to improve their operational efficiency, enhance tax compliance, and strengthen their competitive edge in the market. The method involves direct engagement with MSMEs through hands-on workshops and personalized mentoring sessions. This initiative is set to take place in May 2025, offering MSMEs valuable tools to enhance their business practices, optimize financial management, and foster long-term growth and success in the market.

Website security is an important aspect of designing a website and managing web systems. However, many developers still pay little attention to security aspects from the early stages of development. In fact, the website that has been built will be the target of attacks by hackers at any time. Therefore, this research aims to analyze the vulnerability of the SMAN 1 Banjar Agung website based on the OWASP Top 10 standard. The research method was conducted through vulnerability assessment using OWASP ZAP tools with the stages of spidering, passive scanning, and active scanning. This test allows identification of vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), and security configuration weaknesses. The scan results showed eight vulnerabilities, consisting of two medium, three low, and three informational vulnerabilities. Although the risk level is low, the website still requires mitigation through the application of security headers, dependency updates, and removal of sensitive information to make the system more secure and stable.

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.