Indonesia has experienced problems with refugees in recent years. Despite not being a state party to the 1951 Refugee Convention, Indonesia is still subject to the principle of non-refoulement as a norm that binds all states (jus cogens). This principle is regulated in Presidential Regulation Number 125 of 2016 and Regulation of the Director General of Immigration of 2016 as basic regulations for handling refugees. However, the principle of non-refoulement is not applied absolutely to refugees in Indonesia. The government is in a difficult situation and seems hesitant in taking a legal political stance, to accept or expel the presence of refugees. This research article aims to evaluate the application of the principle of non-refoulement in Indonesian national law. The findings of this research show that the state cannot apply the principle of non-refoulement to refugees in an absolute manner as it will have an impact on national security stability. The legal position of the Presidential Regulation and the Regulation of the Director General of Immigration contradict other regulations, potentially leading to norm conflicts and legal uncertainty. This regulation cannot be applied in all situations. Although this regulation is binding, its application is highly dependent on the needs and urgency of the country. The principle of non-refoulement does not apply to refugees if their presence threatens national security or disturbs public order in transit countries, especially for Indonesia, which has not ratified the 1951 Refugee Convention. Normatively, the application of this principle can be limited by the Constitution, Immigration Law, the theory of state sovereignty, the theory of primordial monism of national law, the principle of selective immigration policy, the principle of immigration essence, and the principle of immigration traffic control. This provision emphasizes that the application of this principle is relative and can be limited based on state sovereignty and national security interests.

As the complexity and scale of software applications increase, the challenges associated with testing these systems grow correspondingly, necessitating innovative and sustainable testing strategies. This paper explores a multifaceted approach aimed at addressing the intricate challenges inherent in testing large-scale software applications. Through a comprehensive examination of current industry practices and emerging trends, this study introduces a novel framework that integrates advanced testing techniques with state-of-the-art tools. This framework not only mitigates the challenges posed by the complexity and size of modern applications but also enhances the efficiency and effectiveness of the testing process. Key aspects of this research include a detailed exploration of test methodologies suited for large-scale applications, an evaluation of advanced tools designed for complex test scenarios, and an analysis of the impact of the test environment on sustainability. The findings offer valuable insights and actionable strategies for software development and testing professionals aiming to optimize testing processes and improve the quality and sustainability of their software in a rapidly evolving technological landscape.

Purpose: Kindergartens are an important educational environment for the development of children at an early age, and they also play a crucial role in developing the values of sustainable development. The purpose of this study is to investigate kindergarten teachers’ perceptions of observable and sustainable development practices. Design, methodology, approach: Semi-structured interviews were conducted with 302 Saudi kindergarten teachers. Additionally, observation cards were utilized to collect data on actual practices of sustainable development in kindergartens. Data were analyzed using Nvivo12, a qualitative data analysis software, and descriptive analysis methods. The main themes were produced first, and then the perspectives were organized around them. Finding: The impact of social and cultural factors on the development of values, the lack of resources available to implement educational activities, and teacher awareness and training gaps were found to be the main barriers to the development of sustainable development values in kindergartens. Originality, value: To the best of the author’s knowledge, this is the first study in Saudi Arabia that has looked into the environmental and social perceptions of early childhood teachers about sustainable development practices, so the study’s findings can highlight the importance of reorienting teacher education programs toward sustainability in order to bridge knowledge and practice gaps.

Accurate demand forecasting is key for companies to optimize inventory management and satisfy customer demand efficiently. This paper aims to Investigate on the application of generative AI models in demand forecasting. Two models were used: Long Short-Term Memory (LSTM) networks and Variational Autoencoder (VAE), and results were compared to select the optimal model in terms of performance and forecasting accuracy. The difference of actual and predicted demand values also ascertain LSTM’s ability to identify latent features and basic trends in the data. Further, some of the research works were focused on computational efficiency and scalability of the proposed methods for providing the guidelines to the companies for the implementation of the complicated techniques in demand forecasting. Based on these results, LSTM networks have a promising application in enhancing the demand forecasting and consequently helpful for the decision-making process regarding inventory control and other resource allocation.