The metaverse has emerged as a new domain within the digital economy, offering decentralized and participatory ecosystems driven by digital assets such as NFTs, tokens, and cryptocurrencies. Platforms like Decentraland, Roblox, and The Sandbox represent varied models of economic governance and user engagement. However, effective economic management strategies in these virtual environments remain underdeveloped. This study explores how the three platforms manage digital economies, focusing on asset governance, community incentives, and risk dynamics. Using an exploratory qualitative approach, data were collected through semi-structured interviews and document analysis, and then thematically analyzed using NVivo software. Results show decentraland emphasizes DAO-based transparency, Roblox relies on centralized monetization, and The Sandbox balances both in a hybrid model. The study concludes that successful economic strategies in the metaverse require integrating governance structures, incentive mechanisms, and social user interaction. These findings offer insights for building more adaptive, inclusive, and sustainable digital economic frameworks in virtual ecosystems.

Teachers are still not optimally utilizing supporting media to improve the learning process in the classroom and outside the classroom, especially those using social learning network (SLN) technology. One SLN application that can be used by teachers is Edmodo. The purpose of this community service activity is to assist teachers in increasing the use of learning media, especially those related to SLN, so that learning is more interesting learning process does not only take place in the classroom. Community service activities carried out at the Foundation for Education and Development Jauharotul Huda. The method of implementation is by direct practicum and lecture. The results of these community service activities include: (1) the ability of teachers to operate Edmodo applications, (2) teachers can utilize information and communication technology in the learning process, and (3) develop teacher abilities in the use of instructional media.

The low interest in reading of students in elementary school is a serious problem that has a direct impact on the quality of learning, especially in Indonesian subjects. This article aims to identify and analyze various factors that affect student’s low interest in reading through a literature review approach. The results of the analysis showed that these factors included limited literacy facilities, lack of active role of teachers and parental support, negative influence of digital technology, less attractive teaching methods, and low motivation and reading habits of students. The impact of low interest in reading includes difficulty understanding reading, weak vocabulary mastery, and low learning achievement. This article also reviews various strategies that teachers can do to increase student’s reading interest, such as reading habits, the use of storytelling methods, reading corners, the use of technology, as well as thematic approaches and creative literacy programs. Cooperation between schools, families, and communities is needed to create a literacy ecosystem that supports the growth of reading interest from an early age.
 
 

This study aims to examine how John G. Cawelti's classic detective formula is implemented in Holly Jackson's A Good Girl's Guide to Murder. Using a qualitative descriptive method, this research explores the narrative structure of the novel. The research focuses on how the elements of the formula constructively shape the events that are narrated. Data was collected through reading the novel and note-taking. For the findings, the novel follows the six structural stages outlined in John G. Cawelti (1976) theory: (1) introduction of the detective, (2)crime and clues, (3)investigation, (4)announcement of the solution, (5)explanation of the solution, and (6) denouement. The protagonist of the story is Pippa Fitz-Amobi, a high school student who investigates a long-closed murder case for her school project. The novel adapts classic concepts into a contemporary context through its unique role as a teenage detective. In addition, the conventional detective narrative becomes more innovative by incorporating multimedia formats such as interview transcripts, emails, and diaries. This study found that Jackson's novel successfully blends traditional genre standards with modern storytelling methods, providing a fresh detective experience while maintaining the core structure of classic mystery fiction.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in supporting the national economy, particularly in the fisheries sector. This study was conducted through a direct interview with a fish farming MSME, GG Sawah Farm, managed by Legiono. The purpose was to explore the dynamics of catfish and pangasius farming businesses, including business history, capital needs, marketing strategies, and the challenges faced. The findings reveal that despite its promising economic potential, the business encounters various obstacles such as feed costs, seed availability, and climate changes. However, through innovations such as the use of alternative feed, social media marketing, and product diversification into the frozen food sector, the enterprise has managed to survive and grow. This study recommends improving production efficiency, increasing financial support, and encouraging collaboration with stakeholders to enhance the sustainability and development of small-scale fish farming businesses in Indonesia.

This study aims to evaluate the effectiveness of employee training at PT XYZ, particularly in enhancing work performance and motivation. The research employs a descriptive qualitative method using purposive sampling. Informants consist of one team leader and three staff members selected through in-depth interviews, observation, and documentation. The results indicate that the training provided remains one-way, lacks interactivity, and is not entirely relevant to employees’ daily tasks. This leads to low motivation and minimal effectiveness in improving performance. Several challenges were also identified, including the absence of post-training follow-up, monotonous delivery methods, and limited time due to workload constraints. The study suggests that organizations should improve their training systems by aligning materials with job relevance, adopting more engaging methods, and ensuring continuous support from management.
 
 

Coronary heart disease (CHD) remains a leading cause of mortality worldwide. Early detection is essential to reduce complications and improve patient outcomes. This study aims to develop a classification model using machine learning algorithms to predict CHD risk based on clinical symptoms. The dataset used is the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records with 14 clinical features. The preprocessing stage involved handling missing values, normalizing features, and transforming categorical variables. Four classification algorithms were applied: K-Nearest Neighbors (K-NN), Decision Tree, Random Forest, and Support Vector Machine (SVM). Each model was trained using stratified 10-fold cross-validation to ensure generalizability. Evaluation using accuracy, precision, recall, F1-score, and ROC-AUC metrics showed that the Random Forest algorithm achieved the highest performance with 87.2% accuracy. Feature importance analysis indicated that chest pain type, resting blood pressure, cholesterol, and ST depression were the most influential indicators. These results demonstrate that machine learning, particularly Random Forest, can effectively support early diagnosis of CHD in clinical settings and has the potential to be integrated into clinical decision support systems (CDSS).

The buffer zone of BJ. Habibie Grand Forest Park (Tahura) in Bihe Village, Asparaga District, plays a strategic role in balancing environmental conservation and community agricultural activities. However, the widespread practice of monoculture corn farming and land clearing through burning threatens ecosystem sustainability and accelerates environmental degradation. This study aims to analyze farmers’ perceptions of buffer zone management and to identify the challenges and potential for transitioning to sustainable agricultural systems. A descriptive qualitative and quantitative approach was used through field observations, in-depth interviews, questionnaires, and document analysis. The findings indicate that most farmers possess basic awareness of the importance of conservation areas, but there are notable knowledge gaps regarding regulations and environmentally friendly practices. Although some farmers acknowledge the negative impacts of land burning and monoculture, economic limitations, inherited customs, and lack of technological support remain significant obstacles. Nevertheless, respondents expressed a high willingness to change their farming practices if provided with training and incentives. This study recommends a participatory strategy involving government bodies, conservation institutions, and academics to build farmers’ capacity and promote the adoption of sustainable agricultural technologies. A collaborative approach that considers the socio-economic realities of local communities is essential to ensure the long-term sustainability of the BJ. Habibie buffer zone without compromising farmers’ welfare.

Tenure conflicts in forest areas are long-standing structural issues in various regions of Indonesia, including Popayato Sub-district in Gorontalo Province. These conflicts arise from overlapping land claims between local communities, companies, and the state, directly affecting the socio-economic and ecological conditions of surrounding populations. This study aims to analyze the social and environmental impacts of tenure conflicts in Popayato's forest areas and assess the roles of stakeholders in seeking sustainable solutions. A qualitative case study approach was applied through in-depth interviews, field observations, and thematic analysis. Findings reveal that communities face restricted access to productive land and forest resources, disrupting livelihoods and local cultural sustainability. Ecologically, tenure disputes have triggered illegal land clearing and significant forest degradation. Local governments have made mediation efforts, yet face challenges in coordination and policy inconsistency. Civil society organizations play a crucial role in advocating community rights through participatory mapping and the promotion of legal recognition via social forestry schemes. This study recommends resolving tenure conflicts through collaborative approaches that uphold principles of social and ecological justice, including strengthening local institutions, participatory boundary mapping, and developing inclusive conservation-based business models. In doing so, sustainable forest management can be achieved by recognizing local rights and enhancing community participation in decision-making processes.

The development of social media has a major influence on the lives of Muslim adolescents, especially in shaping their understanding and practice of religion. This study uses a semi-structured in- depth interview method with 10 adolescents aged 15-19 years in Jakarta and surrounding areas to explore the meaning of religion in the context of social media. The results show that religion is seen as a source of peace, moral guidance, and social identity, while social media acts as a means of education as well as a source of challenges in religious practice. This study concludes that critical guidance on the use of social media is needed by families and educators so that adolescents can interpret religion in a healthy way in the digital era.