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Language and news have a close relationship because language is a medium to convey news. In news, the use of noun phrases is important to pay attention to, so that there is no misunderstanding. Therefore, this study aims to analyse the use of object phrases in news texts, focusing on their elements, types, and functions. In this research, two approaches are used, namely qualitative descriptive and syntax. The results show that in the news text, there are various variations of noun phrases. This diversity is seen in the different patterns of phrase formation, which differ in structure and constituent elements. The type of noun phrase that is often found is the subordinate noun phrase. The results showed that noun phrases can occupy syntactic functions as long as their use does not exceed the limits of sentence structure. In Indonesian syntax, noun phrases can function as subjects, objects, or descriptions. Therefore, noun phrases play an important role in the formation of a sentence.

This study aims to analyze and identify various types of phrases found in educational opinion texts published on the Pundi.or.id website, 2025 edition. The research is based on the importance of syntactic understanding, particularly the use of phrases, in constructing effective and meaningful sentence structures in opinion texts. A qualitative descriptive method was applied using the observation and note-taking technique. The data were collected by examining, recording, and classifying different types of phrases, including nominal, verbal, adjectival, numerical, and adverbial phrases. The findings reveal that each type of phrase functions differently in shaping sentence meaning and enhancing the clarity of the writer’s arguments. Nominal and verbal phrases were found to dominate the texts, indicating their significant role in presenting ideas and logical reasoning. This research contributes to the development of syntactic studies and provides practical benefits for teachers and students in learning Indonesian, especially in mastering sentence structure and improving opinion writing skills. Furthermore, the study serves as a reference for future linguistic research within the context of digital media and education.

This study discusses clause structures in online news articles published by Detik.com, highlighting the issue of UNNES student Iko Juliant Junior in September 2025. The background of this research lies in the importance of understanding how digital media utilize language structures to convey information effectively, concisely, and objectively. In the context of online journalism, the selection and arrangement of clauses play a crucial role in shaping clarity, focus, and meaning as perceived by readers. The purpose of this study is to describe the forms and types of clauses used in news texts and to explain their functions in maintaining the accuracy and credibility of information delivery. The research employs a qualitative descriptive method with a focus on syntactic studies. The data consist of clauses found in Detik.com news articles published in September 2025, analyzed based on their syntactic components: subject, predicate, object, complement, and adverbial. The findings show that the clause patterns of Subject–Predicate (S–P) and Subject–Predicate–Object (S–P–O) are the most dominant, with verbal predicates appearing most frequently. These patterns reflect the efficient, factual, and easily understood style of online journalistic language. This study contributes to the development of syntactic research and serves as a practical reference for journalists and readers in understanding effective language use in digital media.

This study investigates the integration of computational thinking (CT) principles with adaptive curricula to enhance problem-solving skills in undergraduate programming education. Traditional programming curricula often emphasize syntax and basic concepts, neglecting critical problem-solving strategies. The adaptive curriculum framework used in this study combines CT skills such as decomposition, pattern recognition, abstraction, and algorithmic thinking with personalized learning experiences. A mixed-method approach, combining qualitative and quantitative research, was employed to assess the effectiveness of this integrated approach. The results show significant improvements in students' problem-solving abilities, conceptual understanding, and engagement compared to a control group following a traditional curriculum. Students in the experimental group, which received the adaptive curriculum, demonstrated better performance in applying algorithms and debugging code. Additionally, students expressed higher levels of engagement and motivation, suggesting that the personalized learning environment fostered greater academic involvement. The study highlights the importance of integrating CT principles with adaptive learning frameworks to create a more inclusive and effective learning environment that accommodates diverse learning needs. The findings suggest that adaptive curricula can bridge gaps in traditional education by providing personalized support and ensuring that students progress at their own pace. This approach is especially beneficial for programming education, where both conceptual understanding and practical problem-solving skills are critical for success. Future research should explore the long-term impact of adaptive learning frameworks and investigate how these technologies can be integrated with traditional teaching methods to maximize their effectiveness.