Implementation of Clustering Analysis on Solar Panels Adoption by MSMEs in Banyumas Regency
- DOI
- 10.2991/978-94-6463-134-0_4How to use a DOI?
- Keywords
- Solar; Panels; Banyumas; MSME
- Abstract
Micro, Small, and Medium Enterprises (MSMEs) are essential for regional economic growth. In their operations, MSMEs often face technical constraints, one of which is the limited supply of electrical energy that can hamper production. Solar energy as renewable energy has great potential and is an alternative solution to minimize the impact of this problem. However, the readiness and ability of MSMEs to adopt new technologies often differ. Therefore, it is necessary to determine specific policies and strategies to encourage the adoption of solar panels based on the conditions faced by certain MSMEs. This study aims to classify MSMEs into particular groups based on their level of expectation, readiness, and ability to adopt solar panels as an alternative to conventional electricity supply. The hierarchical clustering approach was implemented and resulted in four optimal clusters with the number of members played by cluster 1. Cluster 1 shows the characteristics of MSMEs that are willing, ready, and able to adopt solar panels. Cluster 2 contains MSMEs that are unwilling, unprepared, and unable to adopt solar panels. Cluster 3 has the characteristics of MSMEs that are capable but still hesitant to adopt solar panels. In contrast, cluster 4 is MSMEs that want but need more time to be ready and able to adopt solar panels. Policies to encourage the adoption of solar panels by MSMEs are proposed based on the characteristics of each group, ranging from intensive assistance to resource assistance. The results of this study can provide an overview of the perception of MSMEs on the implementation of solar panels in Banyumas and Indonesia in more general.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Famila Dwi Winati AU - Anastasia Febiyani AU - Prisilia Rahayu Cahyaningtyas AU - Amanda Aziz P. Ramadhani PY - 2023 DA - 2023/04/19 TI - Implementation of Clustering Analysis on Solar Panels Adoption by MSMEs in Banyumas Regency BT - Proceedings of the 6th Mechanical Engineering, Science and Technology International conference (MEST 2022) PB - Atlantis Press SP - 24 EP - 35 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-134-0_4 DO - 10.2991/978-94-6463-134-0_4 ID - Winati2023 ER -