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.

rendahnya daya tetas telur ikan lele disebabkan kerana adanya daya rekat pada telur sehingga terjadi penumpukan telur. Penumpukan telur menyebabkan terhalangnya oksigen masuk pada telur yang berdampak pada perkembangan telur, mencoba memanfaatkan limbah kulit nanas yang belum dimanfaatkan untuk menggantikan larutan ataupun sari nanas seperti penelitian sebelumnya. Adapun tujuan dari penelitian ini adalah mengevaluasi pengaruh perasan kulit nanas terhadap daya tetas telur ikan

ICONNET, which is a product from PT Indonesia Comnets Plus for the retail customer segment, is a new internet provider. ICONNET intends to provide the best for the Indonesian people. They need to have a strategy in order to continue to increase sales of their products. In the sales process, one way to increase product sales is to know the history of product sales to customers. Is it in accordance with the sales target or not. So if the sales target has not been met, it can be used as a performance evaluation, especially for the marketing and sales team. Therefore, the authors created a sales prediction system by implementing the Naive Bayes Classifier Algorithm which can be used to predict sales of ICONNET products based on previously recorded data. Testing the system with the black box method and performance testing. The resulting output is a web-based system. The percentage of accuracy test results are 89.189%. While the results of performance testing obtained a score with grade A (91%). It is hoped thet in the future this system can be developed with more attention to user needs.