This study aims to explore the use of digital technology by Madrasah Tsanawiyah Darul Musthofa in improving the institution's brand image. Using a qualitative approach with a case study method, data was collected through semi-structured interviews, participant observation, and document analysis. The results of the study show that the strategic use of social media such as YouTube, TikTok and WhatsApp has succeeded in increasing public trust in the quality of madrasah education. Digitization of learning also strengthens engagement between students, teachers, and parents, although limited infrastructure and technological training remain significant challenges. The implication of this research is the need for a planned strategy and policy support to ensure equitable adoption of technology, especially in rural areas. This study contributes by understanding the synergy between digital technology and brand image enhancement strategies in the context of Islamic education, offering strategic guidance for other madrasahs to compete in the digital era.

This study focuses on the formation of a religious community through dynastic leadership in Campor Timur Village, Ambunten Sumenep. The researcher employs a qualitative method with an ethnographic approach. The data collection techniques used include interviews, observations, and documentation. In data processing, the researcher performs condensation, data presentation, and drawing conclusions. The research findings show that the leadership strategy in forming a religious community involves several steps. First, religious outreach is carried out through sermons, writings, actions, media, and regular study sessions to raise religious awareness. Second, the leader collaborates with the devout community and the government to establish harmonious relations. Third, the leader provides facilities such as roads, meeting halls, and prayer rooms to support socio-religious activities and improve the quality of life for the community, particularly in terms of better access to religious education. In conclusion, effective leadership successfully creates a religious community by strengthening religious values, fostering cooperation, and providing facilities that support ongoing social and religious activities.

The management of zakat funds by the Sidogiri Amil Zakat Agency can become a social economic force for the Muslim community, with a more innovative approach compared to conventional activities, as revealed by this study. This study aims to explore and understand the implementation of zakat fund management at the Sidogiri Amil Zakat Institution. Using a qualitative approach with ethnographic methods, data were collected through interviews, observations, and documentation. Data processing was carried out through condensation, presentation, and conclusion drawing, while data validity was ensured through triangulation of techniques and sources. The research findings reveal several key results: 1) Zakat collection is actively carried out in various locations such as cities, districts, villages, residential areas, companies, stores, mosques, and through visits to communities and community leaders. There are FO (Funding Officer) staff members responsible for collecting zakat funds. 2) Zakat funds are distributed to the community in the form of zakat fitrah, money, and essential goods such as rice, as well as assistance for poor and destitute children, scholarships, the construction of worship facilities, and the provision of clean water. Distribution follows the principle of the eight eligible recipients. 3) Funded programs include assistance for elderly destitute individuals, while other programs such as education, preaching, health, economy, humanitarian aid, and environmental issues are not funded by zakat funds

The aim of the research is to analyze and describe the Arabic language learning management by Native speaker teachers in improving the learning outcomes of students at Mahad Al Wafi Islamic Boarding School. The research method is qualitative through a case study. Data collection techniques include interviews, observations, and documentation. Data processing involves reduction, presentation, and drawing conclusions. The research findings: The planning of Arabic language learning involves steps to achieve objectives, including the selection of methods, media, and resources, with two models: collaborative and independent. The organization includes the selection of materials according to the curriculum, the appropriate teaching methods, and the utilization of relevant media. The implementation combines a holistic approach with the boarding school model, using Student-Centered and Teacher-Centered Learning methods, as well as practical activities to improve language skills and learning enthusiasm. Learning supervision is carried out by internal and external parties to ensure alignment with the plan and exam materials. Conclusion: Learning management is running well and is structured, ensuring each stage of learning is effective in achieving optimal educational goals.

Waste management is a systematic and sustainable activity that includes reducing and handling waste. Social conflict is a social process in which individuals or groups try to fulfill their goals by opposing opposing parties accompanied by threats or violence. The aim of this research is to describe the social conflict that occurs in the community living around the Sambutan District TPA in the form of a foul smell arising from piles of rubbish as well as acts of thuggery experienced by rubbish truck drivers and to describe the implementation of Law Number 18 of 2008 concerning Waste Management in Overcoming Social Conflict Between Communities Around the Sambutan District TPA. Types of qualitative phenomenological research. The research was conducted at the Sambutan District TPA in March 2024- May 2024. The research subjects were one Head of the Sambutan TPA UPTD, one TPA Supervisor and four communities around the Sambutan TPA using observation, interview and documentation techniques. Data analysis techniques are data collection, data reduction, data presentation and data collection. The results of the research show that the implementation of Law Number 18 of 2008 concerning Waste Management in Overcoming Social Conflict between the communities around the Sambutan District TPA shows that the head of the UPTD and the Sambutan TPA Supervisor have carried out waste management in accordance with Law Number 18 of 2008, such as using waste during 3 days to reduce the stench from piles of rubbish and operate rubbish truck drivers at certain hours to avoid acts of thuggery at night, this is to overcome social conflicts between communities around the TPA in Sambutan sub-district

Learning organisation strategies or Learning Strategies refer to the ways used by educators or instructors to organise and structure the learning process to be effective and efficient. Where there are 3 indicators, namely modification of time allocation, modification of content or material and modification of the teaching-learning process. Sekolah Menengah Pertama Negeri 40 Jakarta opens a pathway for students with special needs or often called people with disabilities. This study aims to describe the modification of time allocation for children with special needs (ABK) in the Merdeka Curriculum of SMPN 40 Jakarta. The type of research used in this study is a descriptive method with a quantitative approach. Social Studies Learning Strategy for children with special needs is included in the good categorisation with a percentage of data accumulation results of 68%. This means that the modification of time allocation for children with disabilities at SMPN 40 Jakarta has been done well.

Non-Fungible Tokens (NFTs) present significant opportunities for the creative industry in digitizing and monetizing artistic works. However, a major challenge arises in copyright protection, particularly in Indonesia, which has yet to establish specific regulations addressing NFTs within its intellectual property (IP) law framework. Currently, legal protection relies on Law No. 28 of 2014 on Copyright, which does not fully accommodate the characteristics of blockchain technology. This study aims to analyze copyright protection in Indonesia's NFT ecosystem, compare it with regulatory frameworks in the United States and the European Union, and provide policy recommendations that are more adaptive to the advancement of digital technology. The research adopts a normative juridical approach, incorporating comparative legal analysis and empirical studies through interviews with 15 key stakeholders, including digital artists and legal practitioners. The findings indicate that 78% of respondents perceive Indonesia’s current regulatory framework as ineffective in protecting NFT copyrights, whereas regulatory developments in the United States and the European Union have successfully reduced NFT copyright disputes by 40% over the past five years. Additionally, an analysis of 30 NFT-related disputes on OpenSea and Rarible reveals that 65% of cases involve copyright claims that cannot be effectively resolved through national legal mechanisms. This study recommends implementing a takedown notice mechanism, integrating smart contracts for creator royalties, and strengthening digital arbitration frameworks within Indonesia’s legal system. With clearer regulations, Indonesia’s NFT ecosystem is expected to develop with stronger legal protections for digital content creators

E-Court is a court instrument in seeking legal certainty so that cases can be resolved quickly. The scope of E-court includes online case registration (e-filling), online estimation of case costs (e-skum), online payment of downpayment (e-payment), online summons of parties (e-summons) and online hearings (e-litigation) by sending court documents (Replik, Duplik, Conclusion, Answer). The focus that will be discussed in this scientific work includes first, how to read the judge’s decision via E-court. Second, how to apply the principle of hearings open to the public via E-court. To facilitate understanding in this research, researchers used a Normative Juridical research method with a Legislative approach. The data colletion technique carried out by the researcher was by identifying and analyzing statutory regulations, namely PERMA Number 1 Of 2019. The results of the research carried out by the researcher can be concluded that first, the application of the principle of open to the public hearings is appropriate and reflects the applicable statutory regulations. And will still be implemented, but with several restrictions on the number of court visitors and the distance between visitors. Second, regarding the reading of the judge’s decision via e-court, it is legally considered to have been attended by the parties and carried out in a trial open to the public. And has legal force and legal consequences.

The objective of this community service initiative is to enhance the awareness and competencies of village officials in Ngunut Village regarding cyber security threats. Through counseling and mentoring sessions, participants were educated on the principles of cyber security, the categories of cyber attacks, and the preventive measures that can be implemented. Evaluation findings demonstrated a substantial enhancement in participants' knowledge and attitudes towards cybersecurity. It is anticipated that this initiative will serve as a model for other villages, contributing to the development of secure and sustainable communities in the digital era.

Purpose: This study explores diabetic retinopathy (DR), a complication of diabetes leading to blindness, emphasizing early diagnostic interventions. Leveraging Macular OCT scan data, it aims to optimize prevention strategies through tree-based ensemble learning.
Methods: Data from RSKM Eye Center Padang (October-December 2022) were categorized into four scenarios based on physician certificates: Negative & non-diagnostic DR versus Positive DR, Negative versus Positive DR, Non-Diagnosis versus Positive DR, and Negative DR versus non-Diagnosis versus Positive DR. The suitability of each scenario for ensemble learning was assessed. Class imbalance was addressed with SMOTE, while potential underfitting in random forest models was investigated. Models (RF, ET, XGBoost, DRF) were compared based on accuracy, precision, recall, and speed.
Results: Tree-based ensemble learning effectively classifies DR, with RF performing exceptionally well (80% recall, 78.15% precision). ET demonstrates superior speed. Scenario III, encompassing positive and undiagnosed DR, emerges as optimal, with the highest recall and precision values. These findings underscore the practical utility of tree-based ensemble learning in DR classification, notably in Scenario III.
Novelty: This research distinguishes itself with its unique approach to validating tree-based ensemble learning for DR classification. This validation was accomplished using Macular OCT data and physician certificates, with ETDRS scores demonstrating promising classification capabilities.