The digital divide, resulting from economic limitations in accessing the internet, is a significant problem in many communities, including Pujorahayu Village. This research aims to design and implement a router-based Wireless Internet Service Provider (WISP) network as an affordable communal solution. The methodology employed is the Network Development Life Cycle (NDLC), which was applied to ten households utilizing TP-Link WR845N routers in WISP mode connected to a single primary internet source. The implementation results indicate that the WISP network successfully provides stable and economic internet access, while also positively fostering participation and a spirit of digital collaboration among residents. Nevertheless, several operational challenges were identified, such as limited signal range and potential bandwidth saturation during peak hours. Based on these findings, this research concludes that the solution is technically and socially viable. Further development of a bandwidth management system, the use of additional devices for coverage expansion, and the establishment of a transparent and sustainable communal management model are recommended. The implementation of this model can be replicated in other regions to support equitable internet access and strengthen digital inclusion on a national scale.
 

Accurate and structured performance assessment is an essential requirement for service-oriented organizations such as law firms. This study aims to develop a personnel performance measurement system at MFP Law Firm Jakarta using the Balanced Scorecard (BSC) approach. The BSC method was selected because it enables comprehensive performance evaluation from four perspectives: financial, customer, internal business processes, and learning and growth. The research was conducted by determining relevant performance indicators for each position within the law firm, namely Partner, Senior Lawyer, Junior Lawyer, Legal Staff, and Finance Staff. The assessment weights were set at 35% for the financial perspective, 25% for customer, 25% for internal business processes, and 15% for learning and growth. The results showed that the highest performance score was achieved by Personnel B (90.55), while the lowest was recorded by Pesonnel N (74.05). This system provides an objective overview of personnel performance achievements and can serve as a foundation for improving human resource management strategies within the law firm

This study examines the problem of the success rate of computer course program participants at LKP Mitra Prestasi which is still an obstacle for institutional administrators. By applying a hybrid model approach in machine learning, which combines Random Forest and Long Short-Term Memory (LSTM) algorithms through the assembly merging technique, this study aims to develop a predictive model that is able to estimate the success rate of participants and recognize variables that contribute to the achievement of learning outcomes. The probability outputs from both models are used as an input feature for the Logistic Regression meta-classifier that studies the optimal combination of predictions to produce final graduation decisions. This approach leverages the Random Forest's advantages in recognizing static features and LSTM in recognizing temporal patterns. Research data was obtained from 100 course participants which included demographic information, academic performance, as well as data on the order of attendance and assignment submission. The research findings show that the hybrid model with the stacking ensemble built succeeded in achieving 95% accuracy, 95% precision, 100% recall, and 97.44% F1 score, with the main variables affecting graduation being final exam scores, attendance percentage, and accuracy of assignment submission.

This study aims to examine the influence of sports on the mental health of students at SMKN 2 Pandeglang. Mental health is an important aspect in supporting the learning process and the development of adolescents, while sports are believed to have a positive impact on students' psychological well-being. The study uses a qualitative approach with observation and in-depth interviews conducted with students and physical education teachers at the school. The data were analyzed descriptively to understand students’ perceptions and experiences regarding sports and their mental well-being. The results show that regular participation in sports activities contributes to reducing stress, improving mood, and enhancing students’ learning concentration. In addition, sports also strengthen social relationships among students, which further supports better mental health. This study concludes that sports play a significant role in improving the mental health of secondary school students, thus schools need to encourage and facilitate sports activities optimally.

Automatic transmission motorcycles, especially those with 110cc engines, are increasingly in demand by the public because of their practicality. The performance of this motorcycle is greatly influenced by the transmission system, especially the Drive pulley and Roller components. The correct setting of the Drive pulley angle and Roller mass can improve engine performance and reduce noise, thus supporting driving comfort. This study aims to analyze the effect of variations in the Drive pulley angle and Roller mass on engine performance, in terms of power (HP), torque (Nm), and noise level (dB) at several engine speeds. The variations tested include the Drive pulley angle of 13.5°–14° and the Roller mass of 13–15 grams, with testing at 5000, 6000, 7000, and 8000 RPM. The test results show that the combination of the angle and Roller mass affects engine performance. At 5000 RPM, the combination of the 14° angle and 15 gram Roller produces the highest power, torque, and noise. At 6000 RPM, the combination of 13.8° and 13 grams produces a maximum power of 6.86 HP and 8.15 Nm of torque, with a noise of 97.40 dB. While at 7000–8000 RPM, the combination of 13.5° and 15 grams provides the best performance with 7.10 HP and 6.30 Nm of torque, accompanied by a noise of 104.17 dB. In general, increasing the angle and mass of the Roller increases performance, but is followed by an increase in noise.

Internal combustion engines generate thermal energy through the combustion of an air-fuel mixture. The incoming air must be filtered, as it contains impurities and particles. While air filters are commonly made from paper, they can also be developed using organic waste materials such as sugarcane bagasse and rice husk. This study aims to analyze the effect of biocomposite air filters on engine power, torque, and specific fuel consumption (SFC), by varying the material composition and the number of pleats, and comparing the results with those of a standard air filter. The method used is a quantitative experimental approach involving dyno testing on a 150 cc motorcycle engine. The tested material compositions include 50:50, 40:60, 30:70, 60:40, and 70:30 (sugarcane bagasse\:rice husk), with pleat counts of 28, 26, and 24. Results showed that the biocomposite filter with 28 pleats and a 30:70 composition delivered the best performance, producing 18.47 Hp and 16.66 Nm of torque—higher than the standard filter’s 17.98 Hp and 15.52 Nm. In terms of fuel efficiency, the 26-pleat filter with a 50:50 composition recorded the lowest SFC at 41.90 g/kWh, significantly better than the standard filter’s 53.03 g/kWh. Conversely, the 60:40 composition resulted in the highest SFC due to increased airflow resistance.

An integrated physical education policy was a strategic approach in shaping a healthy lifestyle from an early age. This study aimed to determine the effect of the integrated physical education policy implementation on the healthy lifestyle of elementary school students. The method used was descriptive quantitative with a survey approach. The sample consisted of 120 students from four elementary schools that had implemented the policy in X city. The results showed a significant positive correlation between the implementation of the integrated physical education policy and the improvement of students' healthy living behaviors, which included regular physical activity, a balanced diet, and awareness of personal hygiene and health. This policy proved effective in instilling healthy living values through structured physical activities and supporting the strengthening of character education

This study aims to examine the role of sport sociology in the practice of coaching and leadership of soccer coaches, especially in the context of multicultural teams. Through a qualitative approach and in-depth interviews with a number of soccer coaches, it was found that understanding the social background, culture, and individual values ??of players is very important in creating effective interpersonal relationships in the team. The results showed that coaches who have intercultural communication skills and adaptive leadership styles tend to be successful in building strong social cohesion and solidarity among players. Social integration in a soccer team is a dynamic process, where the coach acts as a socialization agent who is able to balance diversity without causing internal conflict. These findings contribute to the development of more inclusive and socially value-oriented coaching strategies. This study also emphasizes the importance of coaching training that includes social and cultural aspects in the management of modern sports teams.

The complexity of financial decision-making has intensified in the digital era due to data saturation, market volatility, and the inability of conventional models to respond to real-time and non-linear dynamics. Addressing these challenges requires the integration of intelligent systems capable of adapting to evolving financial environments. Smart finance, which combines artificial intelligence, machine learning, big data analytics, blockchain, and automation, offers transformative potential across financial services. This study synthesizes scholarly findings from 2019 to 2024 across five domains: AI-based modeling, robo-advisory applications, behavioral finance integration, decentralized finance (DeFi), and real-time risk analytics. Results indicate substantial gains in efficiency, accuracy, and personalization, yet also reveal persistent challenges, including algorithmic opacity, ethical concerns in data use, and regulatory ambiguity. Advancing smart finance demands development in explainable AI, hybrid advisory systems, and inclusive, adaptive regulation for decentralized infrastructures. The scope of the analysis is limited to peer-reviewed academic literature published in English, excluding industry reports and grey literature.

Grounding incidents are among the most critical maritime accidents, posing significant threats to navigational safety, operational efficiency, and logistics continuity. This study aims to analyze the contributing factors behind the grounding of MV. Tanto Luas in the Mahakam River and to identify effective mitigation efforts. A descriptive qualitative approach was employed, with data collected through direct observation, interviews with ship crew, and documentation during onboard sea practice (PRALA). The findings reveal that the grounding incident was primarily caused by poor communication between MV. Tanto Luas and a tugboat, improper navigational decisions, and shallow, wave-affected waters. The Fishbone Diagram (Cause and Effect Diagram) method was used to systematically identify the root causes of the problem. Mitigation efforts included tank sounding, tidal monitoring, optimal use of navigational equipment, and improved inter-vessel coordination. The study concludes that grounding incidents can be prevented through enhanced communication, strict adherence to navigational procedures, and regular crew training. This research offers both practical and theoretical contributions to the enhancement of maritime safety in narrow waterways such as the Mahakam River.