| Issue |
E3S Web Conf.
Volume 650, 2025
The 10th International Conference on Energy, Environment, and Information Systems (ICENIS 2025)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 10 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202565001013 | |
| Published online | 10 October 2025 | |
Mapping Distribution and Range Analysis of Biogas Digester Units Using Nearest Neighbor Analysis Method in Sruni Village, Indonesia
1 Department of Environmental Science, Faculty of Mathematics and Natural Science, Universitas Sebelas Maret, 57126 Surakarta, Indonesia
2 Department of Chemical Engineering, Faculty of Engineering, Universitas Diponegoro, 50275 Semarang, Indonesia
3 Research Center for Sustainable Production System and Life Cycle Assessment, National Research and Innovation Agency, 15314 Tangerang Selatan, Indonesia
4 Research Center for Ecology and Ethnobiology, National Research and Innovation Agency, 16911 Bogor, Indonesia
* Corresponding author: hawalihashfi@staff.uns.ac.id
Biogas represents a promising renewable energy source due to its dual function in waste management and energy production. This study maps the spatial distribution and evaluates the service coverage of biogas digester units in Sruni Village, Boyolali, Central Java, Indonesia, using Geographic Information System (GIS)-based analysis. Data on 89 biogas installations were collected via GPS and Google Earth Pro. Nearest Neighbor Analysis (NNA) and buffer analysis (25–250 m) were conducted to assess spatial patterns and accessibility. The NNA results indicate a clustered distribution pattern, with a nearest neighbor index (T) of less than 0.7, a z-score of -8.061642, and a p-value of 0.000000, confirming a statistically significant clustering at the 99% confidence level. Buffer analysis reveals that current installations only cover 2.46 km² (74.77%) of the total 3.29 km² village area, highlighting a disparity in access to biogas services. Most digesters are concentrated in central hamlets, particularly Sruni, Tegalsari, and Tugusari, influenced by early local initiatives and livestock density. The study provides valuable insights for equitable biogas infrastructure planning in rural Indonesia and underscores the role of spatial tools in optimizing renewable energy distribution.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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