ANALISIS SENTIMEN KOMUNITAS SEKOLAH TERHADAP KEBIJAKAN ECO SCHOOL MENGGUNAKAN MODEL INDOBERT
Abstract
The Eco School (Adiwiyata School) program is an environmental education policy involving students, teachers, and parents as key stakeholders. The success of this program depends heavily on the perceptions of these three groups. This study aims to analyze school community sentiment towards the implementation of the Eco School policy using a Natural Language Processing (NLP) approach based on the IndoBERT model. A total of 1,000 text data points were collected from social media, educational discussion forums, and open-ended questionnaires, then went through preprocessing, manual labeling, and fine-tuning stages of the IndoBERT model to classify positive, neutral, and negative sentiments. The analysis results show a distribution of sentiment: positive 65%, neutral 25%, and negative 10%, with a model accuracy reaching 91.2%. Positive sentiment is predominantly triggered by creative and practical activities that increase environmental awareness, while negative sentiment is related to the administrative burden on teachers, additional costs for parents, and inconsistencies in program implementation. Analysis by group shows significant differences in perception: students tend to be the most positive (78%), while teachers (58%) and parents (55%) are more critical of administrative and financial aspects. These findings confirm the effectiveness of the transformer architecture for analyzing Indonesian-language education policy and emphasize the need for a segmented change management approach. The study recommends streamlining administrative systems, ensuring funding transparency, and tailoring communication strategies to the characteristics of each stakeholder group.
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