This journal looks at the legal concerns of managing natural resources by producing compost using a market-based method based on garbage. This study's primary goal is to evaluate the efficacy and compliance of the legal requirements controlling the use of market trash as a raw material for compost fertilizer. The study's findings indicate that there are several pertinent laws that offer a legal framework for market waste management, including the Environmental Law and government waste management rules. However, there are obstacles to the law's implementation and enforcement, such as a lack of knowledge among business actors and oversight flaws. To ensure sustainability and efficiency in managing market waste as a resource for making compost, this study also found that, despite the existence of existing regulations, regulatory updates and harmonization are still required. To maximize the environmental and economic benefits of market waste management, this research recommends improvements in regulations and law enforcement, as well as increased education and training for business actors.The results of the study indicate that the utilization of market waste for making compost has great potential in supporting organic farming and reducing the volume of waste that ends up in landfills. However, the implementation of this program requires a deep understanding of applicable regulations, as well as support from the government and the community. This article concludes that comprehensive legal-based waste management can improve the efficiency and sustainability of natural resource management, as well as have a positive impact on community welfare.

This research aims to develop an application for recommending safe and suitable skincare products for pregnant women. The application is built using the prototype method and implemented with the Python programming language using the Flask framework. The study encompasses product categories from Drw Skincare, including serums, toners, shampoos, body care products, facial washes, and creams. The system provides options for users to select categories of skincare ingredients they desire. The application issues warnings about skincare ingredients that should be avoided during pregnancy, such as retinol and specific acids. The end result is a list of recommended skincare products containing ingredients that align with the user's selected criteria. Each product is accompanied by comprehensive information about its ingredients and advice. Users can utilize search and advanced filtering features to find skincare products based on product types and brands. The application offers clear user guidance and an intuitive interface, enabling users to navigate and use the application comfortably. It is expected that this application can assist pregnant women in choosing safe and effective skincare products while providing a better understanding of skincare during pregnancy.

This study explores the development and evaluation of a Variational Quantum Algorithm (VQA) for predicting a drug as a corrosion inhibitor, highlighting its advantages over traditional regression models. The VQA leverages quantum-enhanced feature mapping and optimization techniques to capture complex, non-linear relationships within the data. Comparative analysis with AutoRegressive with exogenous inputs (ARX) and Gradient Boosting (GB) models demonstrate the superior performance of VQA across key metrics, including Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Deviation (MAD). The VQA achieved the lowest RMSE (4.40), MAE (3.33), and MAD (3.17) values, indicating enhanced predictive accuracy and stability. These results underscore the potential of quantum machine learning techniques in advancing predictive modeling capabilities, offering significant improvements in accuracy and consistency over classical methods. The findings suggest that VQA is a promising approach for applications requiring high precision and reliability, paving the way for broader adoption of quantum-enhanced models in material science and beyond.

This study evaluates the performance of Quantum Support Vector Regression (QSVR) in predicting material properties using limited data. Experimental results show that the QSVR model consistently produces superior prediction accuracy compared to previous conventional regression models. This improvement is especially evident in the prediction accuracy for small and complex datasets, where QSVR can better capture non-linear patterns. The superiority of QSVR in processing data with a quantum approach provides great potential in developing predictive models in materials science and computational chemistry.

KKN activities in Sumberarum Village Hamlet II are directed at realizing a more religious, clean, and creative village. The main issues identified were the lack of community participation in religious activities, lack of awareness of the importance of environmental hygiene, and limited economic opportunities for the community. The research objectives include increasing community participation in religious activities, increasing awareness of the importance of environmental cleanliness, empowering the community through handicraft training, and encouraging young children to recognize themselves. The research methods used include observation, interviews, documentation, and evaluation. The programs carried out include religious competitions in the month of Muharram, mutual cooperation for environmental empowerment, self-introduction education for kindergarten children, making signposts for the kadun, RT / RW, and mosque, and training in making handicrafts from palm trunks. The results of these activities show an improvement in the quality of community life, among others reflected in the increased participation in religious activities, the realization of a cleaner and more organized environment, and the growth of community interest in developing handicraft businesses. In addition, educational activities for kindergarten children also have a positive impact on child development.

The aim of writing this journal is for readers to see more about the perspective of criminaI law in dealing with the specifics of same-sex relationships in Indonesia. The research was carried out using normative legal methods so that it is necessary to criminalize or expand criminal regulations for deviant acts committed by the LGBT community in reforming criminal law. The study results show that same-sex relationships are considered to violate norms in Indonesian society. Many people are uncomfortable with the presence of LGBT in their environment, which makes people question how the law in Indonesia handles cases of same-sex relationships. Meanwhile, same-sex relations carried out by LGBT people are not yet regulated as a criminal offense according to Indonesian criminal law, the regulation is still very limited because it only regulates same-sex sexual relations committed by adults with minors.
 
 
 

Loading and unloading activities are activities carried out on land, sea and air (Permenhub). In the field of loading and unloading, one of the loading and unloading companies will be observed, namely the company PT. Berlian Manyar Sejahtera plays a big role in supporting the needs of loading and unloading activities for handling clinker dry bulk cargo. One of the tools that supports clinker dry bulk loading activities is by using a bucket. A bucket is a tool that can support clinker dry bulk loading activities. where this tool functions to transport dry bulk clinker to the truck properly. The research method used is the Quantitative Method which explains Bucket Efficiency in dry bulk clinker loading activities at PT Berlian Manyar Sejahtera. Data collection techniques through observation, documentation, interviews and questionnaires. The results of this research show that buckets are more efficient than using grabs because in the dry bulk loading process the clinker bucket has a target which can be realized according to the target, whereas for grabs the target and income are bigger but cannot be realized properly according to the target. The advice given is to prepare supporting equipment such as grabs and well-maintained buckets because this can support clinker dry bulk loading activities and additional loading and unloading workers are needed so that the clinker dry bulk loading process will be more efficient and faster.

Security systems in the maritime sector are crucial for preventing criminal activities and theft on board ships. The physical key systems commonly used today have vulnerabilities that can be exploited by unauthorized individuals. This research aims to design and test a smart door lock system using facial recognition with the ESP32 Wrover cam and a 4x4 Keypad as an additional security measure. The test results show that the system successfully recognizes faces with a 90% success rate at a distance of 15-100 cm, although there is a decrease in efficiency when more than one face is registered. The system also demonstrated 100% success in

Education is one of the main pillars in human resource development, and effective education policies are essential to achieve this goal. This study aims to analyze education policies in Bogor City with an Islamic education approach, which emphasizes moral values, ethics, and character. The research method used is qualitative, with data collection techniques through documentation studies and in-depth interviews. Data were collected from various sources, including regional education policy documents, education evaluation reports, and interviews with education officials, educators, and local community leaders. The results of the study indicate that education policies in Bogor City have integrated several elements of Islamic education, such as an emphasis on noble morals, student character development, and the creation of a conducive learning environment. However, this study also identified several challenges in implementing the policy, including the lack of training for educators on the application of Islamic values in teaching, the uneven distribution of educational resources, and the lack of community participation in the education process. Further analysis revealed that existing education policies do not fully reflect the principles of holistic Islamic education, which should include spiritual, intellectual, and social aspects. This study recommends the need to strengthen the curriculum based on Islamic character education, increase training and professional development for educators, and increase collaboration between the government, schools, and the community in creating a more conducive educational environment. Thus, it is hoped that education policies in Bogor City can be more effective in forming a generation that is not only academically intelligent, but also has a deep understanding of Islamic values, is able to contribute positively to society, and becomes a role model in everyday behavior.

The P2TL rule is an abbreviation for the Collision Prevention Regulation at Sea, a rule that makes it easier for ships to sail safely and avoid the danger of collisions between 2 or more ships. The aim of this research is to explain the application of P2TL rules when ships are sailing to reduce the risk of collisions between ships and create safety in navigation on MV ships. Meratus Palembang. This research was carried out using quantitative descriptive statistical research methods. With data collection techniques based on the results of questionnaires, observations, literature studies related to P2TL regulations during maritime guard duty. Then the data was analyzed using SPSS calculations and described. Based on the research results, it was concluded that the P2TL rules were applied during maritime guard duty on the MV. Meratus Palembang has complied with established procedures. This is to ensure safety at sea by preventing accidents that could result in loss of life, damage to ships, and potential environmental pollution at sea.