This report discusses the effectiveness of the Up Sonic tool in optimizing the combustion process of various types of materials. Up Sonic is an innovative technology designed to enhance combustion efficiency and reduce harmful gas emissions. The study examines the performance of this tool on different materials, including fossil fuels and biomass. The results indicate that the use of Up Sonic can accelerate the combustion process, improve energy efficiency, and reduce carbon emissions. Therefore, this tool has the potential to become a sustainable solution in the combustion and energy industry.

Differentiated learning is a fundamental aspect of the Independent Curriculum, officially adopted as Indonesia’s national curriculum in the 2024/2025 academic year. Although the curriculum promotes adaptive and inclusive learning tailored to individual student needs, its implementation in Social Studies (IPS) instruction in middle schools in Semarang City encounters significant challenges. This study evaluates the application of differentiated learning strategies, focusing on planning, implementation, and evaluation stages while identifying obstacles faced by teachers. A mixed-methods approach with an embedded concurrent design was employed, combining quantitative data from ANOVA and Pearson correlation tests with qualitative insights from interviews, classroom observations, and document analysis. Data were collected from four representative schools, with Sekolah Mandiri Berbagi emerging as a model for effective implementation through innovative and adaptive instructional strategies. The findings indicate that schools with comprehensive planning and responsive implementation achieve better learning outcomes. However, challenges such as insufficient teacher training, limited resources, and time constraints hinder the overall effectiveness of differentiated learning. These results underscore the need for strengthening teacher competencies, improving educational infrastructure, and adopting more adaptive teaching approaches. This study offers actionable insights to enhance differentiated instruction under the Independent Curriculum, contributing to educational reform in Indonesia.

Resort Hotel and Floating Cottage, is one of the tourist attractions that many people visit for vacation. The planning of the Resort Hotel and Floating Cottage utilizes the natural beauty in the form of lake and mountain views located in Cigombong District, Bogor Regency and the location is a Kawasan Ekonomi Khusus (KEK) so that the Public-Private-Community Partnership, operational model is applied, namely a partnership between the government, entrepreneurs, and the community. Tourism in Indonesia has an important role in driving national economic growth and improving people's welfare. The natural beauty spread across Indonesia has the potential for tourism development, especially for Resort Hotels and Floating Cottages. In its realization, there are facilities related to local culture so that the community can contribute. This Resort Hotel and Floating Cottage planning is classified as a 3-star Health Resort & Spa type with more complete facilities. In addition, because the planning of this Resort building utilizes the beauty of nature, the Biophilic Architecture approach was chosen which basically has the principle of building a good relationship between humans, nature, and buildings. 

After the COVID-19 pandemic, global focus on health has increased, including mental health issues. However, many people in Indonesia still consider mental health to be a taboo subject. In reality, mental health has a significant impact on community life. Poor mental health, such as stress, anxiety, and depression, can negatively affect physical well-being and reduce the quality of life, particularly in large cities like Tangerang. Tangerang's numerous industrial factories contribute to air pollution, the lack of green spaces, and significant social pressures, all of which increase stress among its residents and can lead to mental health issues that may result in harmful actions toward themselves or others. In 2018, TangerangNews reported 15 suicide incidents in Tangerang City, Tangerang Regency, and South Tangerang, with causes ranging from economic factors to depression. According to Pasla (2023), several methods can prevent the negative impacts of mental health issues, including maintaining and improving mental well-being through actions that balance physical and spiritual conditions. In response to these challenges, the planning and design of a Wellness Center could be an inspiring solution with the potential to positively impact the community in Tangerang. Integrated with the Healing Environment approach, which creates a more healing and restorative building environment, this facility aims to enhance community wellness in a positive, targeted, and effective manner, reducing stress levels and preventing depression to improve the quality of life in Tangerang.

Human resource development and empowerment are key elements in enhancing the effectiveness and efficiency of HR management performance in today’s competitive era. This study aims to examine the extent to which HR development and empowerment influence HR management performance improvement. Using a descriptive-qualitative approach, the study explores the relationship between training, competency development, employee involvement, and managerial performance within organizations. Literature review findings indicate that investing in HR development significantly enhances productivity, loyalty, and the quality of HR management.

The purpose of this study is to improve the health status of families so that healthy and prosperous families are realized. The study was conducted by collecting all available data through interview techniques and physical and supporting examinations. Subjective data, especially on the main complaint, namely the mother said she was weak, dizzy, tired quickly, short of breath and pain in the waist and legs. And objective data, namely the mother's general condition was good, anemic conjunctiva and Hb levels of 9.2 g%. The results of the study are the need for immediate action and collaboration on Mrs. A with mild anemia in Aik Lengis Hamlet, Kuta Village with the result that in this case no collaborative action was taken because there were no indications and data to support the action. Has determined a midwifery care action plan for Mrs. A with mild anemia in Aik Lengis Hamlet, Kuta Village with the results of planning care based on actual diagnoses/problems and potential problems that can occur and evaluating the results of the actions that have been carried out on Mrs. A with mild anemia in Aik Lengis Hamlet, Kuta Village with the result that the care that has been given was successful as indicated by changes in the mother's Hb levels which were initially 9.2 g% to 10.8 g%.

This research was conducted to determine the effect of transformational leadership and the physical work environment on the performance of PNPN employees with motivation as an intervening variable in land offices throughout West Priangan (Cianjur Regency, Sukabumi Regency and Sukabumi City). It is hoped that this research can provide input for institutions in improving the quality and quantity of Transformational Leadership, Physical Work Environment and Motivation, in order to improve employee performance. In this research, sampling was used using Simple Random Sampling by distributing questionnaires to 113 ASN employees at the West Priangan Land Office in 2024. Data from the questionnaire were analyzed using SPSS Version 27 and Lisrel 8.80 software. The results of this research state that Transformational Leadership influences Employee Performance, the Physical Work Environment influences Employee Performance, Motivation influences Employee Performance, Motivation is able to mediate the influence of Transformational Leadership on Employee Performance, as well as the Physical Work Environment, Motivation can still mediate its influence on Employee Performance.

As digital transformation accelerates across industries, cybersecurity faces escalating challenges due to increasingly sophisticated cyber threats. This study explores the integration of artificial intelligence (AI) algorithms and big data analytics to enhance cybersecurity systems, focusing on addressing data integration and interpretability issues. Employing a descriptive-qualitative methodology, the research analyzes literature, case studies, and secondary data to evaluate the effectiveness of AI and big data in detecting and mitigating cyber threats. Key findings reveal that deep learning algorithms, such as artificial neural networks, achieved an accuracy of 93% in anomaly detection, outperforming traditional rule-based approaches by 18%. Additionally, big data platforms like Spark demonstrated superior efficiency, processing 500 GB of data in 35 seconds compared to Hadoop’s 60 seconds. However, the study identifies challenges related to the interpretability of AI models and the complexity of integrating diverse datasets, which impede real-time threat detection. Periodic updates to AI training datasets were found to improve detection accuracy by up to 15%, emphasizing the importance of adaptive learning models. This research contributes to the field by proposing strategies to enhance system resilience, including adopting Explainable AI (XAI) for transparency and advanced data integration techniques. The findings underscore the potential of AI and big data to revolutionize cybersecurity, offering organizations a proactive approach to combating evolving cyber threats. Future studies should focus on sector-specific implementations and optimizing response mechanisms for comprehensive security frameworks.

This research aims to analyze mung bean seed viability through germination observations under two different treatments. Observations were conducted over 15 days, measuring parameters including germination rate, normal seed count, abnormal seed count, and seed mortality rate. Results showed significant differences between treatments, with treatment 1 achieving 72% germination rate while treatment 2 reached 64%.

This paper presents the design and implementation of an automatic Virgin Coconut Oil (VCO) making device using an Arduino Uno microcontroller. Virgin Coconut Oil has gained popularity due to its health benefits and versatile uses in various industries. The traditional process of making VCO involves manual effort and precise timing, which can be tedious and inconsistent. The proposed automated system aims to streamline the VCO production process by integrating sensors, actuators, and a microcontroller to achieve precise control and monitoring of the process variables. The Arduino Uno microcontroller serves as the central unit for data acquisition, processing, and control, facilitating automation through programmed logic. Key components of the automated VCO maker include temperature sensors for monitoring heating stages, a motor for stirring, and relays for controlling heating elements. The system utilizes feedback loops to maintain optimal conditions during each phase of VCO production, ensuring reproducibility and quality. The design also emphasizes user-friendly operation, with an interface that provides real-time feedback on process parameters and allows manual intervention if necessary. Safety features are incorporated to prevent overheating and ensure operational reliability. Overall, the developed automatic VCO maker offers a practical solution to enhance the efficiency and consistency of VCO production, catering to both small-scale producers and commercial enterprises in the food and cosmetic industries