Abstract:This study aims to investigate the integration of Artificial Intelligence (AI)-based learning media to enhance reading literacy among elementary school students. Using a descriptive qualitative approach through case study…
y and literature analysis, the research was conducted at SDN No. 100311 Palsabolas, involving teachers and students who utilized adaptive reading applications, text-to-speech tools, and intelligent learning platforms. Data were collected through observation, semi-structured interviews, and document analysis, and validated by triangulation techniques. The findings reveal that AI-assisted media significantly improve students’ reading motivation, comprehension, and fluency. Quantitative comparison between pretest and posttest results showed notable progress, with the average literacy score increasing by 16–27 points across different indicators. Students demonstrated greater engagement and independence, while teachers benefited from automated performance analytics and personalized feedback tools. However, challenges emerged related to device limitations, technical competence, and overreliance on automated features. The study concludes that AI-based learning media serve not only as technological tools but also as pedagogical instruments that personalize instruction, foster digital literacy, and transform reading classrooms into more adaptive, interactive, and student-centered environments.
Abstract:This study aims to explore and analyze the role of law enforcement in upholding privacy regulations as an effort to strengthen national resilience in the digital era, with a particular focus on the implementation of Law…
Number 27 of 2022 on Personal Data Protection (PDP Law). Employing a descriptive qualitative method based on a literature review, the research examines structural, technical, and institutional challenges in the enforcement of the PDP Law, including low levels of public digital literacy, the absence of comprehensive implementing regulations, and the lack of inter-agency integration. The findings reveal that weak law enforcement increases the risk of cyberattacks on critical infrastructure, diminishes public trust in digital services, and poses the potential for digital economic isolation. The study further highlights the importance of synergy among the government, private sector, civil society, and the media in developing an effective data protection system, supported by capacity-building for law enforcement officers, regulatory harmonization, and the adoption of AI-based legal technologies. Conceptually, successful law enforcement in digital privacy protection not only safeguards individual rights but also serves as a strategic foundation for national resilience.
Abstract:This study aims to analyze population dynamics and the challenges of sustainable development in Indonesia from a social, economic, and environmental perspective. Population dynamics, including population growth, urbanization,…
tion, internal migration, and changes in demographic structure, have become determining factors in the success of development. The method used is a qualitative approach with a literature review sourced from official documents, scientific journals, and reports from international institutions. The results show that rapid population growth and uncontrolled urbanization have led to spatial inequality, reduced green open space, pressure on public infrastructure, and increased environmental degradation. Furthermore, unpreparedness in spatial planning and weak integration of population data into development policies exacerbate socio-economic imbalances between regions. The shift in demographic structure toward a predominance of the productive age group presents the opportunity for a demographic bonus, but also the risk of a demographic burden if not balanced by improvements in the quality of human resources. This study emphasizes that successful sustainable development requires data-driven, gender-equitable, environmentally friendly, and participatory population policies. The integration of technologies such as Geographic Information Systems (GIS) and spatial analysis is a strategic step in realizing inclusive, adaptive, and sustainable development for future generations.
Abstract:The ambiguity of the elements “dealer” and “user” in Articles 114, 112, and 127 of Law Number 35 of 2009 on Narcotics creates legal uncertainty in the practice of criminal justice. These three provisions often overlap in…
erlap in law enforcement, particularly when investigators and public prosecutors apply more severe charges without comprehensively examining the legal construction of the defendant’s actions, including the social and situational context behind them. This study is a normative legal research that examines the doctrine of judicial legal discovery, principles of criminal law, and the principle of proportionality in sentencing in a more in-depth and structured manner. The results of the study indicate that judges have the authority to interpret the elements of narcotics criminal acts systematically, grammatically, and teleologically to clearly distinguish between “abusive users” and “dealers with the intent to distribute.” Legal discovery is needed to prevent overcriminalization and to ensure the protection of the rights of suspects and defendants throughout the entire criminal justice process. This study concludes that the appropriate method of interpretation is an integration of systematic interpretation, teleological interpretation, and the ratio legis of the Narcotics Law.
Abstract:Leadership in Islam is a mandate that demands responsibility, justice, and spiritual values. This research aims to explain the integration between situational and spiritual leadership in an Islamic perspective. The method…
d used is a literature study by examining various scientific sources related to the concept of leadership. The results of the study show that situational leadership emphasizes the ability of leaders to adapt to the conditions of followers, while spiritual leadership is based on divine values, trust, and sincerity. Both, when integrated, give birth to a leadership model that is adaptive, moral, and oriented towards the benefit of the ummah as exemplified by the Prophet Saw.
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: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.