This study aims to describe the use of YouTube-based instructional videos in optimizing students' learning interaction on Sociology material in Social Studies learning for Grade VII at MTsN 2 Kota Blitar. The research employed a qualitative approach with a case study design. The subjects consisted of a Social Studies teacher and seventh-grade students involved in the learning process using instructional videos. Data were collected through observation, interviews, and documentation. The findings show that the use of YouTube-based instructional videos enhances students' attention, participation, and engagement in the learning process. Visually engaging and relevant videos help students become more active in discussions, asking questions, and responding to the lesson. Teachers also find it easier to connect the material with real-life contexts through the visualizations provided by the videos. Although challenges such as limited internet access and infrastructure issues were encountered, they were addressed through careful planning. In conclusion, the use of YouTube-based instructional videos proves effective in optimizing students’ learning interaction and provides a more meaningful and enjoyable learning experience.

Stunting remains one of the major public health issues at the national level in Indonesia. As an archipelagic country, Indonesia faces unique challenges in tackling stunting, particularly in regions with limited access to healthcare services. Advances in information technology offer new opportunities to support stunting prevention efforts, including through the utilization of health data. Such data can be used to detect stunting risks early and to monitor children's nutritional status more effectively. The use of health data applications or systems by Posyandu cadres is influenced by various factors, including availability of time, cost, level of trust, and perceptions of ease of use and usefulness. This study aims to identify the determinants of health data utilization by Posyandu cadres for toddlers as a stunting prevention effort in Geneng Subdistrict, Ngawi Regency. This research is an analytical quantitative study with a cross-sectional approach. A sample of 80 Posyandu cadres for toddlers in Geneng Subdistrict was selected using purposive sampling. Data were collected through questionnaires and analyzed using univariate, bivariate, and multivariate logistic regression tests to identify the factors influencing the use of health data in stunting prevention. The results show that the significant determinants include the age of the Posyandu cadre, their education level, and the amount of time they dedicate to Posyandu activities. The determinants of age, education level, and time significantly influence the utilization of health data and thereby affect the optimization of stunting prevention. Strengthening cadre capacity in these aspects is necessary to support more effective stunting prevention.

Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context.

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.

Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The findings highlight that digital healthcare transformation has increasingly evolved from emergency responses to COVID-19 into a strategic framework for long-term system improvement. Moreover, AI and big data have played pivotal roles in enhancing diagnostics, predicting outbreaks, and improving resource allocation. However, concerns related to privacy, digital literacy, and unequal technological access remain prominent. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context, especially in low- and middle-income countries like Indonesia.

Digital transformation drives manufacturing companies to adopt artificial intelligence (AI) as a strategy to improve operational efficiency and competitiveness. However, the effectiveness of AI integration is influenced not only by technological readiness but also by internal organizational capabilities and external environmental pressures. This study aims to analyze how technological, organizational, and environmental factors contribute to the successful implementation of AI in the manufacturing sector, emphasizing the unique dynamics in developing countries such as Indonesia. This study uses a mixed methods approach with a sequential explanatory design. Quantitative data were collected through surveys of 85 respondents from various manufacturing companies in Indonesia, including operational managers, information technology managers, and professionals related to AI implementation. Analysis was conducted using PLS-SEM to test the relationships between variables. Subsequently, qualitative data were obtained through in-depth interviews with 10 key informants who have direct experience in AI planning and integration in their companies. The results show that organizational factors, especially managerial support and human resource competence, play the most significant role in driving the success of AI integration. Aspects of transformational leadership and work culture readiness also emerge as determining factors for the sustainability of adoption. This study expands the application of TOE and RBV theories in the context of developing countries and provides practical implications for the industry in formulating more adaptive and contextual technology adoption strategies.

Web-Based Augmented Reality (AR) is an emerging interactive technology that is increasingly adopted in the fields of visual communication design and digital education. This study aims to analyze trends in the use of Web-Based AR within interactive design contexts and to identify user preferences regarding its features. The research employs a literature review and secondary data analysis, drawing from academic publications, industry reports, and online surveys conducted between 2019 and 2024. The findings reveal a significant increase in the adoption of Web-Based AR both globally and in Indonesia. Key factors driving adoption include interactivity without installation, cross-device compatibility, and rapid browser-based access. Trend diagrams, comparative tables of AR platforms (such as 8thWall, ZapWorks, and WebXR API), and user preference visualizations are presented to support the analysis. The study discusses technological challenges, adoption gaps, and design implications, particularly in education and marketing. Limitations include reliance on secondary data and limited geographic scope. The study’s outcomes are expected to serve as a reference for interactive content developers, educators, and researchers in designing inclusive and adaptive AR-based user experiences.

Baja karbon ST 40 sering digunakan dalam industri pembuatan kapal, khususnya untuk konstruksi lambung dan dek kapal. Mengingat bahwa lambung adalah bagian pertama dari kapal yang bersentuhan langsung dengan air laut, maka bagian ini memiliki risiko tinggi terhadap korosi. Penelitian ini bertujuan untuk mengetahui laju korosi baja karbon ST 40 (40 mm x 40 mm x 4 mm) dalam sampel air laut yang diambil dari Pelabuhan Gresik. Korosi sangat memengaruhi umur pakai baja dan besi, sehingga penelitian ini menjadi penting. Penelitian ini menggunakan metode kehilangan berat (weight loss method) dan proses perendaman dengan menggunakan pengaduk magnetik (magnetic stirrer) dan tanpa pengaduk magnetik untuk mengukur laju korosi. Pengukuran dilakukan setiap 7 hari selama 28 hari. Hasil penelitian menunjukkan bahwa laju korosi tertinggi terjadi pada air laut dengan pengaduk magnetik, dengan nilai laju korosi (CR) sebesar 13,72 mpy, sedangkan laju korosi terendah terjadi pada air laut tanpa pengaduk magnetik, dengan nilai CR sebesar 0,19 mpy. Selain itu, analisis regresi linier menunjukkan bahwa laju korosi pada air laut dengan pengaduk magnetik adalah -37 mg/cm², dibandingkan dengan -6,06 mg/cm² tanpa pengaduk magnetik. Temuan ini mengonfirmasi bahwa penggunaan pengaduk magnetik mempercepat laju korosi pada baja karbon ST 40.

This study examines the correlation between reading interest and writing ability of STIKOM Yos Sudarso Purwokerto students as an effort to understand the relationship between two basic literacy skills in the context of higher education. Low interest in reading is often blamed as one of the causes of students' weak writing skills, which impacts their academic quality and critical thinking skills. This study aims to determine the extent to which reading interest affects students' writing skills, as well as provide an initial mapping of literacy conditions in the campus environment. The method used is quantitative with a correlational approach. Data was collected through questionnaires to measure reading interest levels and writing tests to assess students' writing ability. The analysis was carried out by Pearson correlation statistical test. The results of the study showed a significant positive correlation between students' reading interest and writing ability. The higher the students' interest in reading, the better their writing skills, especially in terms of writing structure, vocabulary use, and logical argumentation. These findings reinforce the assumption that active reading habits can promote significant improvements in writing skills. Therefore, a learning strategy is needed that is able to foster a literacy culture among students.

This study aims to examine the role of Social Studies (IPS) teachers in implementing Pancasila values in Social Studies learning for eighth-grade students at MTs Negeri 2 Jombang. A qualitative descriptive approach was used, with data collected through observation, interviews, and documentation. The research subjects consisted of Social Studies teachers and eighth-grade students. The results showed that the implementation of Pancasila values was carried out by integrating values such as tolerance, mutual cooperation, and social justice into Social Studies learning and students' daily interactions. Strategies included regular religious activities, moral messaging, and exemplary behavior by teachers. This implementation positively impacted character development, reduced bullying behavior, and increased awareness of diversity and unity. Challenges included students' diverse backgrounds and limited instructional time. These findings indicate that Social Studies teachers play a central role in instilling Pancasila values to shape students into individuals with strong character and a sense of national identity.