Constitutional Court Decision Number 91/PUU-XVIII/2020 concerning the formal testing of Law Number 11 of 2020 concerning Job Creation, brings an expansion of the meaning of public participation. The decision states that public participation in the formation of laws needs to be carried out in a meaningful manner (meaningful participation). The goal is to create real community participation and involvement, which so far has only been procedural. Community participation is of course intended so that ideas for the formation of laws do not always have to emerge from the political elite alone. Doctrinal legal research method with secondary data base. Combining the methods of deliberative democracy and meaningful participation in the formation of the Act is needed so that public discourse is created: everything that concerns the lives of many people (the Act) is not only the domain of the government (DPR, DPD and President) but also involves the community with equal position. One of the innovations that must be done is the maximum use of Information Technology. Thus, the Act that is formed is not only procedurally valid but also substantively correct. So that the law that is born is a law that has high value and validity which will ultimately provide benefits not only in the formation of the law but further as a means to lead to the development of a national legal system.
Keywords: Meaningful Participation, Deliberative Democracy, Lawmaking
This study explores the use of technology in language teaching in junior high schools, emphasizing its effects on student involvement and academic achievement. The study was carried out at two schools located in Kecamatan Gunuang Omeh, with four teachers participating. Data were gathered by classroom observations and interviews to comprehend the implementation and results of technology-enhanced educational methods. The results indicated that the integration of technology markedly enhanced student engagement and academic performance. Interactive platforms such as Wordwall and Kahoot! offered stimulating activities and competitive games that encouraged students to engage actively in vocabulary development. The Quizlet flashcard technique also assisted students by improving their capacity to memorize vocabulary efficiently. Teachers exhibited creative approaches in incorporating these technologies into their pedagogical practices, resulting in a more engaging and effective vocabulary acquisition experience. This study highlights the transformative capacity of technology in vocabulary training. Nonetheless, it highlights the importance for sufficient infrastructural support and extensive teacher training for successfully using the benefits of technology in educational environments. These processes are crucial for ensuring the efficient utilization of technology tools to improve the quality of teaching and learning in educational settings.
This paper explores the revolutionary impact of Artificial Intelligence (AI) and Machine Learning (ML) on digital marketing, focusing on the critical role of prompt engineering. By enabling personalized marketing strategies, prompt engineering enhances customer engagement, segmentation, and marketing automation. It empowers businesses to fine- tune their approaches using technologies such as voice interfaces, augmented reality, and SEO optimization, leading to proactive customer acquisition. The study emphasizes the emerging potential of combining neuromarketing with AI prompt engineering to detect customers such as physical and psychological states in real-time, providing hyper- personalized recommendations based on past consumption patterns and health data. This integration is seen as pivotal in reshaping digital marketing, offering businesses the ability to adapt dynamically to customer needs. Dynamic content recommendation systems are highlighted as pivotal in reshaping future marketing strategies by allowing real-time adaptation to customer needs. The paper concludes that prompt engineering is an invaluable tool, still in its nascent stage, but with the potential to transform digital marketing significantly. Those who leverage this technology early are poised to lead in the forthcoming marketing revolution. The integration of these technologies is portrayed as the key to maximizing the utility of AI models, offering a glimpse into a future where digital marketing is profoundly personalized and efficient.
Keywords: Artificial Intelligence, prompt engineering, digital marketing, personalized marketing, machine learning, marketing automation.