Abstract:This research aims to develop a Discovery Learning learning model with the Think, Talk, Write (TTW) strategy to improve the application of narrative text writing learning in grade V students at UPT SDN 16 Bangkala, Jeneponto…
onto Regency. This research uses a Research and Development (R&D) approach by adapting a 4D development model which includes the define, design, develop, and disseminate stages. The research instruments consisted of expert validation sheets, observations, teacher and student practicality questionnaires, and writing ability tests. The results of expert validation showed that the developed learning model was in the very feasible category, with a feasibility score of 92%. The practicality test also showed high results, namely 91% of teachers and 89% of students, which indicates that this learning model is easy to understand, easy to apply, and encourages active involvement of students in the learning process. Descriptively, the results of the pre-test and post-test illustrate a change in students' ability to write narrative texts, from an initial average score of 62.50 to 82.30 after the application of the developed learning model. Thus, this study concludes that the Discovery Learning learning model with the Think, Talk, Write strategy is feasible, practical, and has the potential to support the improvement of the writing skills of elementary school students. This model is recommended to be implemented more widely in Indonesian language learning, especially in narrative writing skills, and can be used as a reference for the development of literacy learning at the elementary education level.
Abstract:This study aims to describe the teaching strategy of Indonesian teachers in learning speaking skills of MA Muhammadiyah Palleko students in Takalar Regency. The focus of the research is directed at the types of strategies…
s used by teachers, their application in learning activities, and factors that affect the effectiveness of learning speaking skills. The research uses a qualitative approach with a descriptive method. Data is collected through observation, interviews, and documentation, then analyzed through data reduction, data presentation, and conclusion drawn. The results of the study showed that teachers used several learning strategies, namely communicative strategies, group discussions, presentations, questions and answers, and role plays. The strategy is applied to increase students' speaking courage, ability to convey ideas, and their involvement in the learning process. However, the effectiveness of the strategy is still influenced by several obstacles, such as low student confidence, limited learning media, and suboptimal feedback by teachers. This study concludes that the teaching strategy of Indonesian teachers has been able to support the improvement of students' speaking skills, but still requires continuous innovation, especially in media development, strengthening motivation, and providing opportunities for wider speaking practice.
Abstract:This study aims to analyze the validity of the use of language in the Investigation Report (BAP) of the Suspect in the Gowa Police Criminal Investigation Unit through a forensic linguistic study. The focus of the research…
h is directed at four linguistic aspects, namely diction, syntax, coherence, and ambiguity, which have the potential to affect the accuracy, clarity, and consistency of information in BAP documents. This study uses a qualitative approach with a case study design, involving five Suspect BAP documents as primary data analyzed through qualitative content analysis techniques using the interactive model Miles, Huberman, and Saldaña. The results of the study show that the use of diction in some BAPs does not fully reflect the suspect's literal statements, but is a narrative construction of the investigator that has the potential to cause meaning bias. In the syntax aspect, it was found that the sentence structure was long, ineffective, and layered so that it gave rise to the blurring of the subject of action and the flow of information. The aspect of coherence also shows irregularities in the organization of the chronology which results in the flow of events becoming illogical and making it difficult to understand the sequence of events. Meanwhile, referential and semantic ambiguity is found in a number of parts of the BAP, especially related to the use of unclear pronouns that open up the possibility of double interpretation. These findings indicate that the linguistic aspect plays a crucial role in the validity of BAP as a legal document. Linguistic inaccuracy has the potential to affect the interpretation of law enforcement officials and have an impact on the fulfillment of suspects' rights. This study emphasizes the need to improve language competence for investigators and the application of forensic linguistic principles in the preparation of investigation documents.
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 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: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:The Community Service Program (PKM) in Kampung Emas Seyegan was implemented to address local economic stagnation caused by limited product innovation, weak business management, and low digital marketing literacy among the…
e Krapyak tofu industry center. Through a participatory approach and an applied training model, this program focuses on improving production and marketing capacities by developing healthy culinary products made from low-calorie tofu. The training included the processing of two flagship products—Tofu Rolade and Tofu Dimsum—with the application of food safety standards, flavor diversification, and packaging innovation. In addition, participants received assistance in business management, cost of goods sold (COGS) calculations, branding, as well as digital marketing using social media and e-commerce platforms. The results show a significant increase in production skills, understanding of the value chain, and the ability to downstream local souvenir products. The program successfully fostered an innovative entrepreneurial orientation, strengthened local culinary identity, and has the potential to increase household income and the economic sustainability of the community.
Abstract:This study examines the ethical and pedagogical implications of deep learning integration in fourth-grade classrooms at SDN 100801 Pasar Sempurna, Indonesia. Through classroom observations, semi-structured interviews with…
h teachers, and document analysis, the research found that deep learning applications significantly improved student engagement and individualized learning outcomes. However, ethical concerns emerged regarding data privacy, unequal access to digital tools, and limited teacher preparedness. Teachers expressed uncertainty in balancing technological autonomy with moral and pedagogical control. The study concludes that while deep learning supports more adaptive and inclusive learning environments, its ethical implementation remains constrained by insufficient institutional policies and digital literacy. Strengthening teacher competence and establishing transparent ethical frameworks are crucial for ensuring responsible AI integration in primary education. These findings provide practical insights into balancing innovation and ethics in early educational contexts.