Kanker usus merupakan salah satu penyakit yang dapat dicegah melalui kesadaran kesehatan yang baik dan deteksi dini. Namun, kurangnya edukasi kesehatan di kalangan remaja menjadi tantangan dalam upaya pencegahan penyakit ini. Program kemitraan masyarakat (PKM) ini bertujuan untuk memberikan edukasi dan meningkatkan pemahaman siswa SMP Ibu Kartini Semarang tentang pola hidup bersih dan sehat (PHBS), faktor risiko, serta deteksi dini kanker usus. Selain itu, program ini juga memperkenalkan aplikasi mobile Oncodoc sebagai sarana untuk deteksi dini kanker secara mandiri. Kegiatan dalam program ini mencakup sesi edukasi kesehatan, demonstrasi penggunaan aplikasi mobile Oncodoc, serta evaluasi pemahaman peserta melalui diskusi dan tanya jawab. Hasil evaluasi menunjukkan bahwa setelah mengikuti program, pemahaman siswa mengenai faktor risiko kanker usus, pentingnya pola hidup sehat, dan manfaat deteksi dini meningkat secara signifikan. Siswa juga menunjukkan ketertarikan terhadap penggunaan teknologi sebagai alat bantu dalam menjaga kesehatan. Temuan dari program ini mengindikasikan bahwa edukasi berbasis teknologi dapat menjadi metode yang efektif dalam meningkatkan kesadaran kesehatan remaja. Oleh karena itu, program serupa direkomendasikan untuk diperluas ke sekolah lain dengan tambahan sesi tindak lanjut guna memastikan pemanfaatan aplikasi secara optimal dalam mendukung edukasi kesehatan

This study aims to analyze the cultivation process and marketing management strategies of ornamental plants applied by Ganda Nursery as one of the MSMEs in the horticulture sector. The research method used is descriptive qualitative with data collection techniques through observation, in-depth interviews, and documentation. The results of the study indicate that Ganda Nursery has succeeded in implementing sustainable ornamental plant cultivation techniques, including through the selection of superior seeds, the use of organic planting media, and pest control based on botanical pesticides. From a management aspect, Ganda Nursery utilizes digital marketing strategies through social media such as Instagram and WhatsApp to expand market reach and increase sales. This success cannot be separated from the application of sustainability principles and Islamic values ??that emphasize the importance of managing natural resources wisely and responsibly. The obstacles faced include fluctuations in market demand, business competition, and limited resources, but are overcome by product innovation and improving service quality. This study is expected to be a reference for other MSMEs in developing sustainable and highly competitive ornamental plant businesses.

The rapid growth of urban areas has triggered the rise of unlicensed development or illegal buildings that have a negative impact on spatial planning, the environment, and the social life of the community. Controlling illegal buildings is a big challenge for local governments, especially in applying administrative sanctions effectively and fairly. This article analyzes various problems faced in applying administrative sanctions, including structural constraints, weak legal culture, and socio-economic impacts of the crackdown. Using normative and empirical juridical approaches, this research evaluates the effectiveness of administrative sanctions in a number of cities such as Surabaya, Bekasi, and Pontianak, and highlights the need for regulatory reform, strengthening the capacity of the apparatus, and participatory approaches to the community. The results show that the effectiveness of administrative sanctions is still limited due to slow bureaucracy, lack of coordination between agencies, and low public legal awareness. Therefore, a comprehensive and collaborative strategy is needed to improve administrative law enforcement that is consistent and has a real impact in creating an orderly, sustainable and socially just urban space.

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.

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.
 
 

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.

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.

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.
 
 

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.

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).