Keywords:
black soldier fly
organic waste management
community perception
text mining
LDA topic modeling

  • Abstract

    This study explored how people in the community view the use of Black Soldier Fly (BSF) maggots as an environmentally friendly approach to managing waste in Bandung city of West Java Province in Indonesia. The rapid urbanization happening in Indonesian cities particularly Bandung has made organic waste management more difficult because much of this waste ends up in landfills thus creating pollution and greenhouse gas emissions. The Black Soldier Fly (BSF) maggots represent a promising solution because they biologically transform organic waste into useful products such as compost and animal feed. The successful implementation of this technology depends entirely on public awareness along with public perception and support. The research investigates how Bandung residents view BSF-based organic waste management through an online survey of 1,019 participants who provided demographic information along with open-ended responses. Researchers applied text mining techniques through Latent Dirichlet Allocation (LDA) to analyze unstructured textual data which revealed major themes in large text datasets. The LDA analysis produced five major topics which included environmental concerns and odor management that expressed worry about bad odors and benefits of waste reduction and fertilizer production, which recognize BSF's sustainability and agricultural value. The analysis revealed supply chain challenges because people were uncertain about getting organic materials and larvae. The quality and processing efficiency of BSF products received mixed reviews from the community. Topic 5 focused on the necessity of regulatory frameworks and government support which highlighted the need for clearer policies and infrastructure. The coherence and perplexity scores established that these thematic groupings were strong. Despite recognizing the environmental and economic benefits of BSF innovation the community continues to worry about odor issues and logistics problems and knowledge deficits and ambiguous regulatory frameworks. The adoption of new technology depends as much on public trust and understanding as it does on engineering development. The study establishes that BSF system expansion requires targeted education together with supportive policies and infrastructure development. The research develops practical strategies for sustainable waste management in Indonesia by uniting community-focused analysis with machine learning-based text mining techniques.

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How to cite

Fujianti, L. N., Munawir, M., Rachman, I., & Matsumoto, T. (2025). Analyzing community perspectives on BSF-Based organic waste treatment: Evidence from survey data and text mining in Bandung, Indonesia. Multidisciplinary Science Journal, 8(1), 2026116. https://doi.org/10.31893/multiscience.2026116
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