Ratna Deli Sari
Universitas Sangga Buana YPKP

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Journal : multifinance

OPTIMIZING THE MARKETING MIX TO ENHANCE THE COMPETITIVENESS OF FRESHWATER FISH HATCHERIES Nurhaeni Sikki; Atventus Nainggolan; Ratna Deli Sari; Huda Binti Ibrahim
Multifinance Vol. 4 No. 1 (2026): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v4i1.453

Abstract

This study analyzes the optimization of the marketing mix to improve the competitiveness of freshwater fish hatcheries, with a case study of Haji Aep’s hatchery in Warung Jambe Village, Karang Tengah District, Cianjur. The research aims to identify the strengths and weaknesses of existing marketing strategies and formulate alternative strategies to enhance competitiveness. The study applied a qualitative descriptive approach supported by SWOT analysis to examine internal and external factors. Data were collected through observation, interviews, and documentation. The results indicate that product quality, pricing strategy, distribution channels, and promotional activities play a crucial role in strengthening competitiveness. The findings further suggest that collaboration with local communities, government support, and market expansion are essential for sustaining business growth. This research concludes that optimizing the marketing mix can significantly increase the market competitiveness of freshwater fish hatchery enterprises.
AI AS A PEDAGOGICAL COMPANION IN HIGHER EDUCATION: TRANSFORMING TEACHING AND LEARNING PRACTICES IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE Ratna Deli Sari; Dadi Priadi; Sonya Meylani
Multifinance Vol. 4 No. 1 (2026): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v4i1.574

Abstract

This study aims to analyze how artificial intelligence (AI) functions as a learning companion in transforming learning and teaching practices in a higher education setting. The study employed a qualitative approach using a dual-case study design, conducted in two classes in the Education Study Program at Sangga Buana YPKP University in Bandung. The participants consisted of 50 individuals, including 10 faculty members and 40 students who had direct experience with AI-based learning. Data were collected through semi-structured interviews, non-participant observation of AI-assisted learning activities, and document analysis covering course syllabi, learning materials, assessment guidelines, AI usage policies, and student assignment artifacts. The data were analyzed using reflective thematic analysis, combining deductive and inductive approaches, and were strengthened through source triangulation, participant validation, peer discussion, audit trails, and researcher reflexivity. The results of the study indicate that AI serves as a learning companion that expands access to explanations, provides rapid feedback, supports the exploration of ideas, and facilitates personalized learning. The integration of AI also transforms the role of instructors from knowledge transmitters to facilitators, designers of learning experiences, evaluators of information, and mediators of critical AI use. At the same time, students demonstrate increased opportunities to develop autonomy, self-regulation, and reflection on the learning process. However, the effectiveness of human–AI collaboration is significantly influenced by AI literacy, trust, transparency, information accuracy, academic integrity, data privacy, and human oversight mechanisms. The research concludes that AI is most productive when positioned as a pedagogical partner that enhances human capabilities, rather than as a substitute for instructors or students.