Fullball is one of the new sports that has gained a lot of attention from the public. Fullball combines several well-known ball sports such as basketball, futsal and handball. The development of Fullball sports is currently influenced by the marketing of Fullball sports to the public, so the right strategy is needed to introduce Fullball sports. This research was conducted with the objective of conducting a SWOT analysis to see the Strengths, Weaknesses, Opportunities and Threats through the Major League competition as an activity to introduce the new sport of Fullball to the wider community, efficiently, and sustainably. The components analysed include quantitative data through interviews and the author's involvement in Fullball sports. The results showed that the main strengths of Fullball are its uniqueness as a new sport and the strong support from brand sponsors and the government in the implementation of the competition. However, weaknesses include the lack of a solid sports ecosystem, limited facilities and accessibility, and limited resources. In addition, opportunities that can be utilized include the trend of exploring new sports among young people, active use of social media, and the potential for strategic cooperation with various parties. Meanwhile, threats that need to be anticipated are financial instability and low levels of participation from players and audiences. The conclusion of this study emphasizes the importance of strategies that maximize strengths and opportunities, as well as address weaknesses and anticipate threats to support Fullball's marketing success at the national level.

The rapid advancement of digital technology has led to significant changes in how people conduct financial transactions, particularly the shift from cash payments to digital methods that are viewed as more efficient, faster, and safer. This study aims to analyze differences in the frequency of using three types of financial transactions cash, e-wallets, and bank transfers in daily life. A quantitative descriptive-comparative approach was applied, involving 47 respondents selected through purposive sampling. The instruments were tested for validity and reliability before analysis. Data were examined using the Friedman test to assess differences in usage frequency among the three methods. The findings show a significant difference in frequency, with e-wallets being the most used, followed by bank transfers, and then cash. These results suggest that people now prioritize convenience, speed, and accessibility in financial activities. The implications highlight the need for financial institutions and payment providers to enhance digital security systems and improve service accessibility. Small business operators are encouraged to adapt to changing consumer preferences that increasingly favor digital payments. Furthermore, improving digital financial literacy is essential to support broader financial inclusion. This study also provides recommendations for policymakers to expand access to digital financial services, especially for underserved communities.

The children of the Riyaadlul Jannah Orphanage are assets that need to be directed to be able to adapt to living conditions in order to become independent and responsible individuals. One solution to increase independence that can be done for children in orphanages is to become an entrepreneur, this is because business activities are flexible and are an alternative source of sustenance provided by Allah SWT. Limited ideas, mental readiness and capital are obstacles for children in orphanages to start their businesses, so that they are less able to achieve economic independence. E-commerce is an alternative solution for starting an entrepreneur while utilizing technology to achieve economic independence more effectively and efficiently. Ease of access, use and relatively affordable costs mean that children in orphanages can start businesses more quickly, thus making it easier for orphanages to ensure their livelihoods. This service program aims to develop community groups at the Riyaadlul Jannah Orphanage to become economically independent, help create peace, comfort in social life, and improve skills in digital entrepreneurship. The approach method used includes the FGD (Focus Group Discussion) approach including sharing sessions. The activity stages consist of preparation, investigation, implementation and evaluation stages. The results of this activity, among other things, show that the orphanage children have an understanding of e-commerce, have business ideas, marketplaces as stalls, and are interested in starting a business immediately.

Bullying in the campus environment is a problem that can disrupt the psychological and academic well-being of students. This article discusses bullying prevention strategies through the use of social media as an effective tool in creating a safe and inclusive campus environment using the library research method. Social media has an important role in students' lives, so it can be used as a medium for bullying campaigns and forming a support community for victims of bullying. In addition, clear and firm campus policies and the active role of lecturers and staff in preventing bullying are also discussed as part of a comprehensive strategy. After combining these various approaches, it is hoped that a campus environment that is free from bullying, supports positive development, and improves overall student well-being can be created.

Business ethics education plays a crucial role in shaping the professionalism of accounting students, particularly in addressing ethical challenges in the globalization era. This study aims to analyze the impact of business ethics education on the development of professional attitudes among accounting students at the University of Surabaya. Using a descriptive qualitative method, data were collected from 100 respondents who had completed a business ethics course. The findings indicate that business ethics education significantly helps students understand the principles of transparency, accountability, and integrity, despite challenges such as limited in-depth understanding and social pressures from their environment. These results underscore the importance of strengthening applied business ethics curricula and institutional support to enhance student professionalism.

Permasalahan yang dihadapi oleh mitra pengabdian remaja masjid antara lain: banyak remaja masjid tidak memahami perangkat lunak grafis atau prinsip desain grafis, dan desain acara masjid harus sesuai dengan nilai-nilai dan kebutuhan komunitas. Remaja masjid mungkin memerlukan waktu untuk memahami dan menerapkan elemen desain yang tepat, serta mengatur waktu mereka antara kegiatan masjid, sekolah, dan aktivitas lain. Kegiatan pengabdian ini dilaksanakan di masjid remaja di Kecamatan Gajah Mungkur, khususnya di masjid MTA Gajah Mungkur. Para remaja menerima pelatihan langsung dan mendapatkan pendampingan langsung secara bertahap.  Dalam waktu satu hari, kegiatan ini diikuti oleh sepuluh remaja dari masjid MTA Gajahmungkur, dan dipandu oleh lima pemateri atau dosen dari Universitas Sains dan Teknologi Komputer dan Stikes Telogorejo. Ada berbagai metode pembelajaran, seperti ceramah, praktik, dan tanya jawab, untuk melakukan kegiatan ini. Setelah kegiatan pengabdian masyarakat di MTA Kecamatan Gajahmungkur, yang terdiri dari ceramah dan pelatihan di bidang pelatihan bagi para peserta (remaja masjid), dapat disimpulkan bahwa para peserta mengikuti pelatihan keterampilan komputer grafis. Mereka memperhatikan materi pelatihan seperti desain grafis untuk pemberdayaan komunitas dan desain grafis untuk mendukung produktivitas.

The rapid advancement of digital communication technologies has heightened the demand for robust data security methods, particularly for safeguarding sensitive information against cyber threats. Steganography, the art of concealing data within digital media, offers an effective means of securing communication by masking the very existence of hidden messages. This study evaluates the Two Least Significant Bits (2LSB) method as an enhancement to the conventional Least Significant Bit (LSB) technique, focusing on improving storage capacity and resistance to detection. The research employs a quantitative methodology, conducting experiments to analyze the impact of data embedding on image quality using metrics such as Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). Data embedding was tested on images of varying sizes and resolutions, with results compared before and after embedding. The study also evaluates the system’s tolerance to compression and robustness against steganalysis attacks, such as histogram analysis and noise detection. The results demonstrate that the 2LSB method significantly enhances storage capacity while maintaining high image quality. For instance, PSNR values remained above 40 dB across all tested images, indicating minimal visual distortion. The method also showed resilience to lossless compression formats such as PNG, with minimal impact on data integrity. However, lossy compression formats like JPEG posed challenges in maintaining the embedded data. The MSE values before and after embedding were minor, ensuring that the hidden data remained undetectable under standard analysis. This research contributes to developing more efficient and secure steganography techniques, providing practical applications in protecting sensitive data during transmission. The findings underline the 2LSB method's potential as a viable solution for digital security, balancing enhanced storage capacity with robust resistance to detection. Future work should further explore integrating advanced encryption with 2LSB to strengthen data protection in diverse digital environments

Indonesia as an agricultural country rich in natural resources, relies heavily on agriculture to support its economy, especially in Central Java where the majority of the population are farmers. However, many rural areas, such as Tegalrandu village in Srumbung, Magelang, face challenges due to limited agricultural knowledge and resources. This study aims to empower farmers in Tegalrandu by improving their agricultural practices through the use of compost as a sustainable fertilizer. This study uses the Asset Based Community Development (ABCD) methodology, which focuses on local strengths and assets to catalyze community-driven development. Participants included local farmers who were engaged through a series of workshops and hands-on training in compost production using household waste and natural activators. The results showed that farmers successfully produced high-quality compost, leading to improved soil health and crop yields. In addition, the community showed increased knowledge and confidence in sustainable agricultural practices. This study underscores the importance of participatory approaches in agricultural development, highlighting the potential of composting to not only increase crop production but also foster economic resilience among rural farmers. The implications extend beyond local agricultural practices, suggesting that similar empowerment strategies can be applied in other rural contexts to promote sustainability and community development.

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.
 
 

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.