Through the Governance Network, the government has a great possibility to reach problems more closely by utilizing the advantages of the network and developing innovative ideas to overcome public problems and improve the quality of services and public policies. One of the problems is the food security policy. This study uses the concept of Social Network Theory (Klijn & Koppenjan) which looks at the structure in the policy implementation network, namely the aspects of contact, trust, information sharing, and resource exchange as well as how to coordinate between actors in the food security policy implementation network in West Papua Province. The results of the study show that the relationship and participation of actors in the network have not run optimally. This can be seen from the structure in the network which includes trust, information sharing, and resource exchange has not been optimal. Meanwhile, contact from the structure in the network has been carried out well, with the formation of policy tools. Coordination in the food security policy implementation network uses the type of mutual adjustment coordination. The implementation of the Food Security Policy in the Perspective of the Governance Network has not been effective.

Incorporating deep learning models has marked a significant advancement in integrating trends and technology within the fashion industry. These models are extensively applied in the realm of image recognition, product recommendation, and trend prediction, employing deep learning techniques such as Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), and Autoencoders. This paper aims to cover various aspects of the textile industry’s supply chain processes, highlighting these deep learning techniques' present influence and potential future directions. It includes a comprehensive analysis of some of the most recent and well-recognized studies in the industry that focus on different parts of a product’s lifecycle in the industry, such as Design and Trend Forecasting, Production and Quality Control, Marketing and Sales, and Distribution and Retail. While deep learning has significantly improved the efficiency of processes across the supply chain, our review highlights some of the existing challenges, such as dependency on large datasets, manual annotation needs, and limitations in creative design generation, encouraging future research to focus on more sophisticated models incorporating multimodal data and personalized factors like body types and aesthetic preferences. Additionally, areas like sewing pattern generation, body-aware designs, and ethical sourcing are critical areas of the fashion industry that require further exploration.

The purpose of this community service activity is to help the guardians of the students of Jauharotul Huda Kindergarten, home-based entrepreneurs, so that they can develop skills and indirectly improve the family's economy, especially by using the Canva application. To achieve this goal, the training method for making simple designs is training. directly. The target of this community service activity is the guardians of students of home-based businesses at Jauharotul Huda Kindergarten with a total of 9 trainees. The training is carried out with three stages of activities consisting of observation, training implementation, as well as evaluation and monitoring. During the observation stage, an analysis of the problems and needs of the parents of home-based businesses was carried out to create simple designs using the Canva application. At the implementation stage of the activity, material exposure and direct practice were given. In the evaluation and monitoring phase, direct evaluation and monitoring is carried out to see the abilities that have been achieved by the guardians of students at Jauharotul Huda Kindergarten in making simple designs with the Canva application. Through this simple design training, it is hoped that it can improve the skills and economy of the families of the guardians of students who do home-based businesses at Jauharotul Huda Kindergarten

Children's integrity is an important aspect that must be built from an early age to prevent corrupt behavior in the future. Family and school are the main factors that have a very important role in building a child's integrity. The family as the first unit has the responsibility to set an example of good character by instilling the values ??of honesty, responsibility and discipline through open communication. On the other hand, schools act as a formal environment that not only teaches the academic curriculum, but also provides character education and equips children with an understanding of ethics and morality. This research uses a qualitative approach by interviewing parents and teachers and analyzing various literary sources such as books, journals, and so on. The research results show that this collaboration not only increases awareness of the importance of integrity, but also reduces the potential for corrupt behavior.

Healthcare services for vulnerable age groups are often neglected due to pragmatic considerations. However, in national development, distributive justice and inclusivity must be promoted to help create a society that supports each other and is capable of achieving shared prosperity. This research focuses on a critical analysis of the efforts to fulfill the right to healthcare services for vulnerable age groups, employing a normative-juridical research model with measurement tools based on the principles of justice, legal certainty, and utility. The findings indicate that there is still a lack of detailed and inclusive provisions for vulnerable age groups, which do not yet meet the principles of justice, legal certainty, and utility.

Corruption is a major issue hindering the development of society and the economy in Indonesia. This study discusses the key steps in preventing corruption by emphasizing the importance of building integrity and transparency within the community. Through interviews with various individuals, insights were gained regarding public perceptions of corruption and the measures that can be taken to mitigate it. The findings indicate that education, the instillation of honesty values, and active community participation are crucial in creating an environment free from corruption. This research aims to contribute to the efforts in combating corruption in Indonesia.

The rapid growth in vehicle ownership has led to increased traffic congestion, making the need for autonomous driving solutions more urgent. Autonomous Vehicles (AVs) offer a promising solution to improve road safety and reduce traffic accidents by adapting to various driving conditions without human intervention. This research focuses on implementing Deep Q-Network (DQN) to enhance AV performance in different driving modes: safe, normal, and aggressive. DQN was selected for its ability to handle complex, dynamic environments through experience replay, asynchronous training, and epsilon-greedy exploration. We designed a simulation environment using the Highway-env platform and evaluated the DQN model under varying traffic densities. The performance of the AV was assessed based on two key metrics: success rate and total reward. Our findings show that the DQN model achieved a success rate of 90.75%, 94.625%, and 95.875% in safe, normal, and aggressive modes, respectively. Although the success rate increased with traffic intensity, the total reward remained lower in aggressive driving scenarios, indicating room for optimization in decision-making processes under highly dynamic conditions. This study demonstrates that DQN can adapt effectively to different driving needs, but further optimization is needed to enhance performance in more challenging environments. Future work will focus on improving the DQN algorithm to maximize both success rate and reward in high-traffic scenarios and testing the model in more diverse and complex environments.

The plan for the construction of the Kra Canal has emerged since 1977, initiated by King Narai. The Kra Canal will connect the Gulf of Thailand and the Andaman Sea, making it an alternative to the congested and vulnerable Strait of Malacca. Despite its great potential and benefits and having been planned for a long time, the canal has yet to be built. This paper aims to discuss the reasons behind the difficulties in constructing the Kra Canal. The method used in this paper is qualitative descriptive by conducting library research. The theories applied are Security Dilemma and Maritime Diplomacy. The data used are secondary data sourced from books, journals, credible official news, and relevant trustworthy websites. The findings indicate that there are complex geopolitical and economic aspects. Major challenges include high costs, risks of damage, environmental concerns, and Thailand’s unstable internal political situation. The presence of the Kra Canal has the potential to complicate the security situation in the Southeast Asian region with the involvement of major powers such as China, India, and the United States.

This study aims to find out and analyze the legal protection for consumers against the circulation of children's syrup drugs that cause acute kidney failure in BPOM Kupang City. This study is an empirical legal research that is analyzed in a qualitative descriptive manner using primary data and secondary data obtained from interviews and literature studies. The results of this study show (1) legal protection for consumers over the circulation of children's syrup drugs, which causes acute kidney failure which is known that consumer protection in Indonesia currently according to researchers is still not running well. (2) the responsibility of the Food and Drug Supervisory Agency in providing protection for children's syrup drugs that cause acute kidney failure which is known to indicate that BPOM's task of supervising drugs is not effective because there are still many cases of dangerous circulation of children's syrup drugs.

This study aims to determine the influence of the Discovery Learning learning model on the cognitive learning outcomes of students' biology on the material of the human digestive system in class XI of SMA Negeri 2 Tondano. With this research method, it is quasi-experiment research. The result is a significance value (2-tailed) < 0.05, then H0 is rejected and H1 is accepted. In the results of the "t" test, a significant number (2-tailed) 0.000 < 0.05 is obtained, then H0 is rejected and H1 is accepted, meaning that there is an influence of the discovery learning model on the learning outcomes of Biology. Then it is seen from the average learning outcomes after being given treatment. Based on the results of the analysis, it shows that the average value of the experimental class at the time of the Pretest is 31.24 while the control class is 24.49. At the time of the posttest, the average score of the experimental class reached 86.82 while the control class was 57.27.