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OPTIMIZATION OF CARAGENAN CONCENTRATION IN THE PRODUCTION OF NORI IPOMOEA REPTANS SNACKS BASED ON ORGANOLEPTIC TESTING Anggi Anggraeni; Cartono; Mia Nurkanti
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 3 (2025): Vol. 2 No. 3 Edisi Juli 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i3.965

Abstract

Nori is a seaweed-based food that is favored by the Indonesian people, but its availability is still limited. Meanwhile, the abundant production of land kale (Ipomoea reptans) as a local vegetable has not been optimally utilized, resulting in low economic value and its potential as a food source has not been maximized. One solution to overcome this problem is to use organic land kale as an alternative ingredient for making nori. Organic land kale is known to have good nutritional content and is commonly consumed by the community. This study aims to determine the level of acceptance of analog nori made from organic land kale as a healthy snack through organoleptic tests. The method used was an experiment with a completely randomized design (CRD), consisting of 24 samples, 6 treatments, and 4 repetitions. The treatment given was carrageenan concentration (0%, 0.6%, 0.8%, 1%, 1.2%, and 1.4%) Data were analyzed using the Friedman Test to assess panelists' preferences for taste, color, aroma, and texture parameters. It can be concluded that the results show the addition of carrageenan at 1% produces analog nori with the highest level of acceptance, so it is considered the most optimal formulation.
Development of AI-Enhanced Learning Environment to Reduce Cognitive Load and Strengthen Mental Resilience in Biotechnology Learning Mimi Halimah; Cartono Cartono; Cita Tresnawati
Equator Science Journal Vol. 4 No. 2 (2026): Equator Science Journal (ESJ)
Publisher : CV. Dharma Samakta Edukhatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61142/esj.v4i2.367

Abstract

Biology learning in higher education, particularly in biotechnology, faces complex challenges due to excessive cognitive load experienced by Generation Z and Alpha students. This study aimed to develop and validate an AI-enhanced learning environment (AI-ELE) prototype specifically designed for biotechnology courses to reduce cognitive load, strengthen mental resilience, and foster 21st-century skills. Using a Research and Development (R&D) design, this study proceeded through two phases: Phase 1 (needs analysis) and Phase 2 (prototype development), which is the focus of this article. Needs analysis was conducted through surveys and focus group discussions with 100 students to identify sources of cognitive load in biotechnology learning. The prototype integrates an AI-assisted personalized learning system, an adaptive scaffolding mechanism, and an intelligent feedback module built upon Cognitive Load Theory and Self-Determination Theory. Expert validation was carried out by five specialists in instructional design, educational technology, and biology. Validation results showed an average expert score of 4.2/5.0, and the System Usability Scale (SUS) score reached 72.4, indicating an acceptable level of usability. The developed instruments—Cognitive Load Scale (CLS), Mental Resilience Inventory (MRI), and 21st Century Skills Assessment (21CSA)—demonstrated high reliability (Cronbach's alpha > 0.80). The findings confirm that the AI-ELE prototype is valid and ready for pilot implementation. This study contributes to the growing body of knowledge on technology-enhanced biology education and provides a practical framework for integrating AI tools into university-level biotechnology courses.