The botanical diversity found in Indonesia is contrasted by the country’s dependency on imported foodstuffs. This paper aims to conduct an ethnobotanical survey of local food plants found in Banten Province, Indonesia, and develop a pedagogical reconstruction concept model that incorporates TEK into biology lessons at secondary and tertiary levels. An ethnobotanical survey of local food plants was carried out in March to May 2026 in the coastal, lowland agroforestry, and highland ecosystems of Pandeglang, Lebak, Serang, and Cilegon regions. Data were gathered using purposeful sampling through field observations, specimen collection, semi-structured interviews involving 45 local informants (elderlies, farmers, and indigenous community leaders), and secondary literature validation. Species recorded were identified taxonomically using Plants of the World Online (POWO) database and categorized in core biological subjects within TPACK framework. The ethnobotanical survey revealed 32 species of local food plants belonging to 7 functional groups. Some of the important findings include the underexploitation of valuable functional species like Xanthosoma undipes (Taro Beneng; starch 80.6%, GI 48) and Sonneratia caseolaris (Pedada), as well as species requiring conservation efforts, like Garcinia dulcis (Mundu) and Baccaurea racemosa (Jatake). The cyanogenic detoxification of Dioscorea hispida and the Leuit post-harvesting storage practice of indigenous people were conceptually linked to biochemistry, plant physiology, ecology, and taxonomy lessons. In order to translate traditional knowledge into a form compatible with contemporary digital learning, the framework considers the use of future AI-supported smart identification through the use of the Pl@ntNet API.
Rizqi Nur Rachmawati, Mona Anju Sansena, Rizal Fahmi et al.· Jurnal Pendidikan Indonesia...· 0 citations
The development of artificial intelligence (AI) technology has drastically transformed the world of education, particularly at the university level. One popular AI application among students is ChatGPT. ChatGPT's ability to present information quickly, facilitate understanding of material, and support assignment completion has made it a widely used learning tool. This study aims to investigate the impact of ChatGPT usage frequency on student learning effectiveness at the University of Tangerang Raya. The methodology used was quantitative through a survey. Data collection was conducted by distributing questionnaires to active students who had utilized ChatGPT in their studies. Data analysis was performed using the Statistical Package for the Social Sciences (SPSS) method. The results of this study indicate that the frequency with which students use ChatGPT has a significant positive impact on their learning effectiveness. Students who regularly use ChatGPT tend to have a deeper understanding of the course material, increase learning efficiency, and perform better at completing assignments. These findings suggest that appropriate use of ChatGPT can serve as an educational tool that improves the quality of students' learning experiences.
Rahma Miftahul Jannah, A. Rifai, Intan Oktaviani et al.· Journal of Social Economics...· 0 citations
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