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:This study aims to analyze the effect of the application of Culturally Responsive Teaching (CRT) on the learning interest and ability to write narrative texts of grade IV students of UPT SDN 21 Bangkala, Jeneponto Regency.…
ncy. The research background is based on the needs of Indonesian learning that is closer to the students' local cultural experiences so that learning becomes meaningful and relevant. This study uses a quantitative approach with a quasi-experiment design of the non-equivalent control group design that involves two groups, namely the experimental group that received CRT treatment and the control group that used conventional learning. The research instruments included learning interest questionnaires, narrative text writing tests, observation sheets, and documentation. The results showed a significant difference between the two groups after the treatment was given. The average post-test score of the experimental group's writing ability reached 82.14, a significant increase from the pre-test score of 58.71. Meanwhile, the control group only increased from 57.42 to 69.28. The learning interest of students in the experimental group also increased from 62% to 86%, much higher than the control group which only increased from 60% to 71%. The t-test showed a significance value of < 0.05 on both variables, which means that CRT had a significant effect on students' learning interest and narrative text writing ability. Normalized gain analysis corroborated these findings, where the experimental group was in the high improvement category. Overall, this study emphasizes that the integration of local cultural elements through the CRT approach is able to increase student participation, motivation, and academic performance, especially in writing narrative texts. The results of this study imply that CRT is feasible as an alternative to Indonesian learning strategies that are more communicative, contextual, and in favor of the cultural diversity of students
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:Serang Regency has 326 villages with great agricultural, industrial, and coastal potential, but still faces north-south regional disparities, 18% stunting, and low digital literacy and female participation in the economy.…
. This study examines the effectiveness of innovative pentahelix-based collaboration as a strategy for accelerating sustainable village development in Serang Regency within the framework of the Village SDGs and the 2025-2045 RPJPD vision. The objectives of this study are (1) to analyze the forms and mechanisms of pentahelix collaboration, (2) to evaluate its impact on improving the Village Development Index and achieving Village SDGs, and (3) to formulate concrete policy recommendations for the Serang Regency Government. The benefits of this study include operational guidelines for regional policy makers, replication of the model in similar areas in Banten, and contribution to the national target of independent villages towards Indonesia Emas 2045. The methodology used is descriptive qualitative with a systematic literature review and secondary document analysis. The results show that pentahelix collaboration has succeeded in increasing the average IDM by 18.71%, reducing village poverty by 4.08%, and strengthening the circular economy. Recommendations include allocating 15% of Village Funds for digital platforms and forming a district pentahelix task force.
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.