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Sonya Trikandi

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Review Open access Aug 2026

Ethnobotanical Inventory of Banten Local Food Plants: Strategic Reconstruction into Ethnoscience-Based Biology Instructional Materials

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. · 0 citations
Review Open access Jul 2026

THE EFFECT OF CHATGPT USAGE INTENSITY ON STUDENTS' LEARNING EFFECTIVENESS AT TANGERANG RAYA UNIVERSITY

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. · 0 citations

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