| Issue |
E3S Web Conf.
Volume 688, 2026
The 2nd International Conference on Sustainable Environment, Development, and Energy (CONSER 2025)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 9 | |
| Section | Sustainable Mining Practices, Reducing Environmental Impact, and Resource Efficiency | |
| DOI | https://doi.org/10.1051/e3sconf/202668802007 | |
| Published online | 20 January 2026 | |
Analysis of community development programs and corporate image in mining industry using multidimensional scaling
Department of Mining Engineering, Institut Teknologi Nasional Yogyakarta, Yogyakarta, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study analyzes the implementation of Community Development Programs (PPM) by a mining company and its relationship with community perceptions of corporate image in Bedoyo Village, Ponjong District, Gunung Kidul Regency. Primary data were collected through questionnaires administered to 135 respondents using simple random sampling, while secondary data included company documents and Community Development (COMDEV) reports. Data were analyzed using descriptive methods and Multidimensional Scaling (MDS). Results indicated that community knowledge of PPM was limited (mean 3.09), while satisfaction (3.52) and corporate image (3.50) were rated good. MDS analysis yielded a stress value of 0.11013 and R Square of 95.8%, forming four perceptual clusters linking health, education, infrastructure, and economic programs to community welfare. In conclusion, community satisfaction with program benefits plays a more decisive role in shaping corporate image than knowledge alone.
© The Authors, published by EDP Sciences, 2026
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

