Abstract:The emergence of the COVID-19 pandemic in 2019 has had an impact on all aspects of life, particularly global health. Indonesia is one of the affected countries. The Indonesian government has responded to the conditions of…
f this pandemic, one of which is by imposing access restrictions to prevent the pandemic from spreading. This policy indirectly affects the community's activities, including the utilization of existing healthcare services. Meanwhile, available data show that one of the major issues that the Indonesian state is still dealing with is its status as the third country with the greatest number of TB (Tuberculosis) cases in the world, with some of the TB cases being classified as Drug-Resistant Tuberculosis (DR-TB).
Abstract:This study analyzes the interpersonal language actions used by students in class interactions at SMP Negeri 5 Manuju with the Functional Systemic Linguistics (LSF) approach. This approach emphasizes the role of language…
as a tool to build social meaning and facilitate interaction in the context of learning. The purpose of the research is to understand how students use language to communicate, coordinate, and negotiate meaning in learning activities. The research method used is qualitative descriptive with data collection through direct observation of classroom interactions, in-depth interviews with teachers and students, and documentation in the form of recordings and field notes. Data analysis is carried out interactively through the stages of collection, reduction, presentation, and extraction of meaning from interpersonal utterances that appear in learning. The results showed that students' interpersonal language actions were realized through three types of mood clauses: interrogative, used to ask questions and ask for clarification; declarative, used to convey an opinion or information; and imperative, used to direct group work with mitigation to maintain social harmony. The function of this language act is not only to convey information, but also to build social relationships, organize group collaboration, and provide subtle approval or support. These findings provide an overview of how language plays a role in shaping communicative and collaborative interactions in the classroom.
Abstract:This study aims to describe the implementation of the deep learning approach in Indonesian language learning and its impact on the development of critical and reflective thinking skills of high school students in several…
al schools in Makassar City. The deep learning approach is seen as an innovative learning strategy that emphasizes high-level thinking processes, active engagement, and deep reflection on teaching materials. The research method used is descriptive qualitative with data collection techniques through observation of learning activities, interviews with teachers and students, and analysis of learning outcome documents. The results of the study show that the application of the deep learning approach contributes positively to improving the quality of learning interactions and students' metacognitive awareness. Students show high ability to identify problems, analyze arguments, draw logical conclusions, and reflect on the learning process. Deep learning-based learning also strengthens collaborative interaction patterns in the classroom and encourages students' intellectual independence. Thus, the deep learning approach is relevant to be applied in Indonesian language learning in high school to foster critical, reflective, and literacy skills in accordance with the demands of 21st century education.
Abstract:This study aims to determine the influence of the use of infographic media on the motivation to learn and comprehend news texts of grade VII students of SMP Hasanuddin Gowa. The background of this research departs from the…
he low motivation and ability of students to understand news texts, especially in Indonesian learning which requires students to be able to analyze information critically and systematically. Infographic media was chosen as an alternative because it has attractive visual characteristics, is concise, and is able to present complex information in a more understandable way. The research method used was a pseudo-experiment with a nonequivalent control group design. The research sample consisted of two classes, namely the experimental class that obtained learning using infographic media and the control class that obtained conventional learning. Data collection techniques include learning motivation questionnaires, news text comprehension tests, observations, and documentation. Data analysis was carried out through prerequisite tests (normality and homogeneity), t-test, and MANOVA test to see the effect simultaneously. The results showed that there was a significant difference between the experimental class and the control class on the aspect of learning motivation, where the experimental class had a higher average motivation score after the use of infographic media. In addition, students' understanding of news texts in the experimental class also increased significantly compared to the control class. MANOVA's analysis strengthens the finding that infographic media has a simultaneous effect on students' motivation to learn and comprehension of news texts. Thus, this study concludes that infographic media is effectively used as a learning medium in news text materials. Infographics not only increase students' motivation to learn, but also help students understand the content of the news more comprehensively. These findings recommend the use of innovative visual media in Indonesian learning to improve the quality of students' learning processes and outcomes.
Abstract:This study aims to analyze the implementation of deep learning in improving the descriptive text writing skills of grade VI students in Group 1, Bangkala District, Jeneponto Regency. Deep learning is seen as relevant to…
overcome students' low writing ability which is characterized by a lack of detail, weak text structure, and lack of ability to choose diction. This study uses a qualitative approach with the type of Class Action Research (PTK) of the Kemmis and McTaggart model which is carried out in one cycle consisting of planning, action, observation, and reflection stages. Data was collected through observation, interviews, documentation, as well as pretest and posttest. The results of the study showed a significant increase in description writing skills after the application of Deep Learning. The average pretest score of 58.40 with 16% completeness increased to 83.20 in the posttest with 88% completeness. An increase in N-gain of 0.62 indicates a moderate–high increase category. In addition to improved grades, students showed positive changes in learning behavior, characterized by increased participation, analytical skills, and quality of reflection on their writing. This study concludes that deep learning is effective in improving descriptive text writing skills while fostering students' critical thinking and metacognitive skills. This model is feasible to be applied as an alternative to Indonesian learning strategies in elementary schools.
Abstract:Based onthe conditions of the Village Development Index (IDM) for Putren Village, usingscoring analysis in 2023, the score was 0.694, with a detailed Social Resilience Index (IKS) score ofSocial Resilience Index (IKS) is…
0.748, the Economic Resilience Index (IKE)is 0.667, and the Environmental Resilience Index (IKL) is 0.667. With this IDM score, Putren Villageis classified as a developing village because it has not yetoptimized its Economic Resilience Index and Environmental Resilience Index.This study aims to formulate a development strategy for Putren Villagetowards becoming an independent village based on the IDM. The analysis method applied inthis study is descriptive qualitative through content analysis. Thedata collection methods used are questionnaires and interviews. The results of the analysisshow that the development strategy for Putren Village towards becoming an independentvillage based on IDM criteria and community expectations is directed at the developmentand repair of village roads, the provision of integrated drainage, the formation of BUMDesand the improvement of the competence of the community
Abstract:This study aims to determine the influence of administrative modernization in taxation on the compliance of vehicle taxpayers at the SAMSAT Office in the Gorontalo City area. The modernization of tax administration is expected…
pected to increase service efficiency and convenience for taxpayers which can encourage increased compliance in fulfilling tax obligations. This study uses a quantitative method. Population in this study are all registered motor vehicle taxpayers as many as 144,490 taxpayers, with a sample of 100 respondents consisting of 83 two-wheeled vehicle taxpayers and 17 four-wheeled motor vehicle taxpayers. The sampling technique uses proportional random sampling. Data were collected through the distribution of questionnaires to taxpayers and analyzed using simple linear regression analysis and IBM SPSS 25. The results of the study show that the modernization of tax administration has a positive and significant effect on the compliance of motor vehicle taxpayers. This is evidenced by a t-calculated value of 2.514 > t-table of 1.98472 and a significance value of 0.014 < 0.05. The value of the regression coefficient of 0.129 indicates that every 1% increase in tax administration modernization will increase taxpayer compliance by 12.9%. In addition, a determination coefficient value (R2) of 0.061 indicates that 6.1% of the variation in taxpayer compliance can be explained by modernization of tax administration, while the remaining 93.9% is influenced by other factors outside of this study.
Abstract:This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications,…
applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.
Abstract:This study aims to describe the implementation of the deep learning approach in Indonesian language learning and its impact on the development of critical and reflective thinking skills of high school students in several…
al schools in Makassar City. The deep learning approach is seen as an innovative learning strategy that emphasizes high-level thinking processes, active engagement, and deep reflection on teaching materials. The research method used is descriptive qualitative with data collection techniques through observation of learning activities, interviews with teachers and students, and analysis of learning outcome documents. The results of the study show that the application of the deep learning approach contributes positively to improving the quality of learning interactions and students' metacognitive awareness. Students show high ability to identify problems, analyze arguments, draw logical conclusions, and reflect on the learning process. Deep learning-based learning also strengthens collaborative interaction patterns in the classroom and encourages students' intellectual independence. Thus, the deep learning approach is relevant to be applied in Indonesian language learning in high school to foster critical, reflective, and literacy skills in accordance with the demands of 21st century education.
Abstract:Background: Diabetes mellitus is a chronic metabolic disorder caused by high levels of physical activity, high sugar consumption, reduced insulin production, and impaired insulin response or other hormones that inhibit insulin…
nsulin action. Based on IDF data, the prevalence of diabetes mellitus in Indonesia in 2024 is estimated to reach 11.3% of the population (approximately 20.4 million people). In addition, the Ministry of Health shows that in 2023, cases of diabetes mellitus will reach 11.7% and are predicted to continue to increase. High blood glucose levels, if left untreated, can cause various complications such as heart disease, stroke, nerve damage, and wound infections that can lead to amputation. One non-pharmacological treatment that can be given is by giving boiled moringa leaves, because moringa leaves contain antioxidants such as flavonoids, vitamins A, C, and E which can lower blood glucose levels. Objective: To determine the effect of Moringa leaf decoction on reducing blood glucose levels in diabetes mellitus patients in Sikampuh Village, Kroya District, Cilacap Regency. Method: The method used was a qualitative descriptive method with a case study approach. Results: Based on the research results, administering Moringa leaf decoction to blood glucose levels in diabetes mellitus patients for 7 days was proven to be effective in lowering blood glucose levels. Conclusion: Administering Moringa leaf decoction to diabetes mellitus patients for 7 days can lower blood glucose levels.