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 research develops the PRIDE Framework to integrate five interdependent dimensions, People (People-Centric Excellence), Resilience, Innovation, Development, and Empowerment, into a unified model explaining how HRM practices…
actices drive both sustainability and agility. A systematic literature review guided by PRISMA principles was conducted, selecting peer-reviewed empirical and conceptual studies that examine HRM, organizational agility, and sustainability. Thematic synthesis and reflexive analysis produced a circular puzzle architecture representing these dimensions and their interconnections. Findings reveal that integrated people-centric policies, robust knowledge management, embedded innovation practices, continuous learning, and distributed decision-making create synergistic capabilities that enable rapid adaptation while maintaining long-term viability. Critical enablers include psychological safety, holistic wellness initiatives, adaptive learning programs, and outcome-based empowerment. The framework addresses gaps by showing sustainability and agility as complementary imperatives rather than competing priorities. Future research should validate the framework through multi-level and longitudinal studies, incorporate diverse language sources for broader context, and explore the impacts of AI-enabled HRM on each dimension. Limitations involve temporal and linguistic scope.
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.
Abstract:Indonesia faces a dualism within the Islamic fiscal system, where zakat and taxes operate separately without clear integration. This condition raises fundamental questions regarding the relationship between the two from…
a sharia perspective and their implications for fiscal justice among Indonesian Muslims. This study aims to examine and formulate the relationship between zakat and taxes from the perspective of the Qur’an and Hadith in order to produce an applicable reformulation model within the context of Indonesia’s fiscal system. This research employs a qualitative approach using a thematic (maudhu‘i) method applied to primary Islamic texts. Qur’anic verses and Hadiths related to zakat, taxation (kharaj, jizyah, ‘usyur), and fiscal obligations were collected, classified, and comprehensively analyzed to identify the underlying connection between the two. The analysis is further supported by a study of maqashid al-shariah and contemporary ijtihad of Indonesian scholars. This study seeks to produce a reformulation model of the zakat–tax relationship through three possible schemes: (1) a partial substitution model, in which zakat can serve as a deduction for income tax up to a certain limit; (2) a complementary model, positioning zakat as a religious obligation and tax as a civic obligation with distinct functions; and (3) a progressive integrative model, integrating zakat into the national fiscal system through a more comprehensive tax incentive mechanism. The findings indicate that the Qur’an and Hadith provide a flexible foundation for all three models, depending on the context of maslahah and public interest.
Abstract:This study aims to analyze the effectiveness of gamified learning environments in improving literacy skills among primary school students. Gamification, which incorporates game elements such as points, badges, levels, and…
d challenges into the learning process, is considered capable of enhancing motivation and student engagement—particularly in literacy learning, which young learners often perceive as less appealing. This research employed a mixed-methods design involving students from both lower and upper primary grades as research subjects. Quantitative data were collected through literacy tests and motivation questionnaires, while qualitative data were gathered through observations and interviews. The findings reveal that gamified learning environments significantly improve students’ reading comprehension, vocabulary mastery, and reading interest. Moreover, game elements such as challenges and rewards positively influence students’ learning motivation and persistence in completing literacy tasks. These results highlight gamification as an effective and innovative approach to enhancing literacy skills, making it a valuable strategy for integration into primary school instruction.
Abstract:This study aims to describe the utilization of interactive technology and artificial intelligence (AI) to enhance the competencies of 21st-century teachers within the Educational Coordination Office of Pangkatan Sub-District,…
rict, Labuhanbatu Regency, North Sumatra Province. The research employed a descriptive qualitative method with a field study approach through a six-day workshop. The subjects of this study consisted of 20 elementary school teachers who participated in training sessions on Quizizz, Wordwall, and the use of AI tools such as ChatGPT in the learning process. Data were collected through observation, interviews, pre-test and post-test assessments, as well as documentation, and were analyzed through data reduction, data presentation, and conclusion drawing. The findings indicate a significant improvement in teachers’ understanding and skills in integrating interactive technology and AI into the learning process. The average pre-test score of 70.00% increased to 89.00% in the post-test, indicating a 19.00% improvement in competency. In addition, teachers successfully developed gamification-based learning media using Quizizz and Wordwall, and utilized artificial intelligence to efficiently design teaching materials and evaluation tasks. The workshop activities also fostered teachers’ motivation, creativity, and digital awareness regarding the importance of innovation in 21st-century education.This study affirms that the integration of interactive technology and AI not only enhances teachers’ pedagogical competencies but also contributes to the development of a more adaptive, collaborative, and digitally relevant learning ecosystem aligned with the needs of the modern era.
Abstract:BUMDes Sepenuh Hati manages several businesses in Loa Duri Ilir Village, which encompass various village potentials in the fisheries sector, including fish farming, fish processing, fishing ponds, and alternative fish feed…
ed production. The utilization of these businesses requires the optimization of BUMDes in their management. The purpose of this research is to determine priorities for BUMDes Sepenuh Hati in managing the fishery potential of Loa Duri Ilir Village. The data collection technique used by the researcher involved questionnaires and interviews. The data analysis method uses the Analytic Hierarchy Process (AHP). This method allows for the analysis of the optimization of BUMDes Sepenuh Hati in managing fishery potential based on four aspects: the human resource aspect, the financial aspect, the marketing aspect, and the production aspect. The research results indicate that the main priority criteria for optimizing BUMDes are the human resource aspect, followed by the production aspect, the financial aspect, and lastly the marketing aspect. Based on the analyzed alternatives, BUMDes Sepenuh Hati received a facilitator recommendation from the fish farming group (Pokdakan) to assist in managing the fishery potential of Loa Duri Ilir Village.