Science learning in public schools should be designed to accommodate both regular students and students with special education needs. This is also one of the implementations of SDG 4, Sustainable Development, specifically related to quality education and inclusive education. This study aims to measure the effectiveness of cooperative learning integrated with local wisdom values of Huyula in improving science concept mastery among regular students and students with special education needs in public schools. The study employs a pre-experimental design with a one-group, pretest-posttest approach. The study was conducted in five schools involving 323 regular students and 12 students with special education needs. The research results on the effectiveness of cooperative learning integrated with the local wisdom values of Huyula showed a significant increase in science concept mastery. This is indicated by the hypothesis test through the Wilcoxon signed-rank test with a value of z = -15.84, through the N-Gain test (high category, average 0.74), and a strong effect size through the rank-biserial correlation value (-1.00). This study concludes that the implementation of science learning integrated with Huyula values and media variety has an influence and is effective in improving the science concept mastery of regular students in the high category and students with special education needs in the medium category. This finding highlights the importance of integrating local wisdom values and media variety in supporting the improvement of science concept mastery through meaningful and inclusive teaching for all students. 

Computational Thinking (CT) emerged as a crucial competency that bridges digital literacy and scientific problem solving in the context of achieving Sustainable Development Goal (SDG) 4 on quality education. However, the model of integrating CT in science learning is still poorly explored, hindering progress towards SDG Targets 4.4 (technical skills) and 4.7 (scientific literacy). This study is the first bibliometric analysis to map the trends of CT research in science learning (2021–2023) through Scopus. The novelty lies in the identification of global collaboration patterns, knowledge gaps, and research priorities that are aligned with the 2030 Agenda. Three research questions were guided: (1) Publication distribution, (2) Dominant journals and subject areas, (3) Keyword dynamics/co-occurrence networks. Data retrieved from Scopus using the strings TITLE-ABS-KEY("Computational Thinking" AND "Science Education/Learning") (47 articles, open access, 2021–2023). Analysis techniques include: Performance analysis (publication/citation metrics), Science mapping (author affiliation), Network analysis (keyword grouping via VOSviewer). Key findings show: (1) Peak publication in 2022 (19 articles), (2) Education Sciences (Q1) as the top journal (7 articles), (3) Dominance of Social Sciences (43 articles) and Computer Science (21), (4) Most cited articles: Lodi & Martini (2021; 43 citations), (5) Main keywords: Computational Thinking (27 appearances), Computer Science Education (15), (6) US-led geographic contributions (>20 publications),  (7) Co-occurrence analysis reveals that Scratch (a block-based application) is a less researched CT tool (3 occurrences) than technical languages such as Python. CT integration improves science literacy but is constrained by teacher training gaps (SDG 4.c) and access to resources. The scarcity of research on gamified tools like Scratch signals a critical innovation gap. This study provides an evidence-based roadmap to prioritize teacher professional development, scale accessible CT tools (e.g., Scratch) for science education, and direct future research toward SDG-aligned classroom-based practices.

Stunting is a public health problem caused by chronic malnutrition and recurrent infections, especially in toddlers. This study aims to analyze the relationship between giving additional blood supplements (TTD) during pregnancy and the incidence of Stunting in toddlers at the District Health Center, Tasikmalaya West Java. The research used a correlational design with a cross-sectional approach on 133 respondents from pregnant women and toddlers aged 24–35 months. The research results showed that 52.6% of toddlers experienced Stunting, while 72.2% of mothers did not comply with taking TTD during pregnancy. Data analysis using the Chi-Square test did not find a significant relationship between adherence to TTD consumption and the incidence of Stunting (p-value = 0.568). This study emphasizes the importance of a holistic approach in dealing with Stunting, including nutritional education, pregnancy monitoring, and increasing awareness of the importance of consuming TTD.

This study aims to analyze the effect of capital structure and net profit margin on company value in transportation and logistics sub-sector companies with a sample of 21 companies listed on the Indonesian stock exchange using the purposive sampling method and based on the 2018-2021 sampling criteria. Based on the results of statistical analysis, it can be concluded that capital structure has a significant effect on the firm value of the transportation and logistics sector studied. this is proven by using the t test with a significant value of 0.003 > 0.05 and tcount 3.040 > ttable 1.989. so it can be concluded that capital structure has a significant effect on value based on statistical analysis it can be concluded that the net profit margin has no effect on the value of the companies in the transportation and logistics sector being studied. this is proven by using the t test with a significant value of 0.205 > 0.10 and tcount 1.277 < ttable 1.989. conclude that net profit margin has no effect on company value. it can be concluded that capital structure and net profit margin have a significant effect on company value in transportation and logistics sector companies listed on the Indonesia Stock Exchange in 2018-2021, with Fcount is 5.272 > Ftable 3, 11 significant value of 0.007 is smaller than the targeted significant level of 0.05. R Square of 0.115. This means that there is a contribution of 11.5% from the independent variables, namely capital structure (X1) and net profit margin (X2) to firm value (Y). While the remaining 88.5% is contributed or influenced by other variables.