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Fish farming using the biofloc system is a technological innovation capable of increasing efficiency, production results, and the sustainability of fisheries business at the village level. This study aims to determine the development of fish farming businesses using the biofloc system in increasing family income in Sembuluh village. Then, it aims to understand the impact of using the biofloc system in increasing family income and to understand the Islamic economic perspective on the utilization of the biofloc system in increasing family income. The method used is a qualitative or field research approach with purposive sampling techniques to collect data from 5 fish farmers who implement the biofloc system. Data were collected through in-depth interviews, observation, and documentation, then analyzed descriptively. The research results show that fish farming using a biofloc system is able to increase family income through increased production and feed cost efficiency. This system supports more controlled pond management, maintains water quality, and produces more stable harvests. In addition to increasing income, the implementation of the biofloc system also strengthens family economic resilience due to planned harvest cycles and group cooperation. From an Islamic economic perspective, this practice aligns with the principles of halal, honesty, justice, and social responsibility, as well as providing benefits for families and the community.

Fish farming using the biofloc system is a technological innovation capable of increasing efficiency, production results, and the sustainability of fisheries business at the village level. This study aims to determine the development of fish farming businesses using the biofloc system in increasing family income in Sembuluh village. Then, it aims to understand the impact of using the biofloc system in increasing family income and to understand the Islamic economic perspective on the utilization of the biofloc system in increasing family income. The method used is a qualitative or field research approach with purposive sampling techniques to collect data from 5 fish farmers who implement the biofloc system. Data were collected through in-depth interviews, observation, and documentation, then analyzed descriptively. The research results show that fish farming using a biofloc system is able to increase family income through increased production and feed cost efficiency. This system supports more controlled pond management, maintains water quality, and produces more stable harvests. In addition to increasing income, the implementation of the biofloc system also strengthens family economic resilience due to planned harvest cycles and group cooperation. From an Islamic economic perspective, this practice aligns with the principles of halal, honesty, justice, and social responsibility, as well as providing benefits for families and the community.

This study aims to analyze news texts on the online news portal IDN Times. In addition, the study aims to identify various syntactic errors in the news texts on the portal, including non-standard sentence structures, the use of loanwords, ambiguous sentences, inappropriate diction, and low word efficiency, thereby providing an overview of the language quality and presentation of information in the online media. This research employs a qualitative descriptive approach, with a syntactic framework as the theoretical foundation. The researcher obtained data by reading several relevant references and recording information that could be used as data. Therefore, the reading and note-taking technique was used in this study. The data in this study consisted of news texts from the online news portal IDN Times, edition 2025. The data analysis method employed is the distributional method. The researcher analyzed the texts by identifying sentences that did not conform to syntactic rules and assessed the suitability of the texts as proper and accurate news texts. The results revealed various syntactic errors, including errors in sentence structure, diction, punctuation, sentence effectiveness, loanword usage, and conjunction usage. How ever, the findings indicate that although some syntactic errors were found, the news texts on the portal generally have a relatively good and coherent structure. Therefore, the texts can provide valuable insights into language use in the context of online media and serve as sources of information for studying language quality and effective communication in digital news writing.

This study investigates the role of Artificial Intelligence (AI) tools, specifically ChatGPT and Jenni AI, in supporting academic integrity through accurate citation generation. Employing a descriptive qualitative method, the research involved 30 undergraduate students who evaluated AI-generated citations using Fishman’s (2014) Academic Integrity Theory and Smith’s (2020) Citation Accuracy Framework. Data were collected through questionnaires assessing students’ perceptions of reliability, ethical responsibility, and accuracy in AI-assisted citation practices. Quantitative analysis revealed that Honesty and Accountability were the most dominant values (22.58% each), followed by Fairness and Respect (19.35% each), Trust (12.90%), and Courage (3.23%). Qualitative findings showed that students recognized AI’s potential to enhance writing efficiency but emphasized the need for human verification to ensure factual correctness and ethical compliance. Comparatively, Jenni AI demonstrated greater consistency and citation verification than ChatGPT, which exhibited more frequent fabrication and inaccuracy. The study concludes that while AI tools can enhance academic productivity, maintaining academic integrity still requires critical human oversight, ethical awareness, and adherence to scholarly honesty and accountability.

This study examines how Perplexity AI is integrated into academic research, particularly its role in research gap analysis and proposal development among university students. Using a qualitative descriptive method and questionnaire data from 32 participants, the research explores students’ perceptions, benefits, and ethical considerations regarding AI- assisted research. The findings reveal that Perplexity AI improves efficiency in literature review and research gap identification, with 75% of students using it to explore research topics and 65.6% acknowledging its usefulness in recognizing trends and gaps. However, concerns remain about accuracy and source reliability, as only 56.3% fully trust AI-generated results, and many still verify information manually. The study concludes that effective use of Perplexity AI requires strong AI literacy that includes critical thinking, verification skills, and ethical awareness. These insights contribute to a broader understanding of human–AI collaboration in academic settings and highlight the need for responsible, well-guided integration of AI tools in research education.

Abbreviation is a common linguistic strategy used to achieve efficiency and clarity in modern communication. This study examines the abbreviation systems of English and Indonesian through a contrastive linguistic approach, focusing on morphological patterns, phonological constraints, and usage conventions. Employing a qualitative descriptive design, the data were collected from established linguistic references and analyzed using classical contrastive analysis principles. The findings reveal that English abbreviation formation is structurally flexible, allowing both pronounceable acronyms and non-pronounceable initialisms, often maintaining complex consonant clusters and orthographic capitalization. In contrast, Indonesian abbreviation formation is strongly influenced by phonological preferences, particularly ease of pronunciation and conformity to open syllable structures, resulting in forms that closely resemble ordinary lexical items. These structural differences suggest potential sources of negative transfer for language learners and challenges in translation practices. The study concludes that abbreviation systems are shaped not only by linguistic rules but also by sociocultural and communicative needs. Understanding these contrasts is essential for language teaching, translation, and further comparative linguistic research.

This study aims to describe the lexical variations that emerge based on gender factor within the sociolinguistic context of SMP Bintang Persada Denpasar. This research employs a descriptive qualitative approach using the observational method and note-taking technique by presenting a list of glosses to 20 eight-grade students, consisting of 10 male and 10 female participants. The lexical data were analyzed using the intralingual and extralingual comparison methods. The findings reveal significant lexical differences between the two speaker groups. Female student tend to use more varied, complete, and expressive lexical forms, including full words and phrasal expressions. In contrast, male students show a tendency to use shorter, more efficient lexical forms dominated by abbreviations and rough expressions. These findings highlight that gender functions as a linguistic marker shaping distinct communicative patterns among adolescents, with female students prioritizing social expression and affection, while male students emphasize practicality and efficiency in language use.