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ASSESSMENT OF GREENHOUSE GAS (GHG) EMISSION LEVELS IN THE COAL MINING SERVICES SECTOR AT PT ANTAREJA MAHADA MAKMUR Saputra, Deni Rahman; Triwibowo, Anton; Batubara, Haris Fadhillah
International Journal of Social Service and Research Vol. 4 No. 12 (2024): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i12.1158

Abstract

The mining industry has a major influence on the increase in greenhouse gas (GHG) emissions in Indonesia, especially deforestation activities and the use of fossil energy. This makes it important to study the level of greenhouse gas emissions of a mining company so that it can determine the mitigation of reducing GHG emissions released. The research aims to assess the greenhouse gas emission levels in the coal mining services sector at PT Antareja Mahada Makmur. The study provides valuable insights into the environmental impact of coal mining activities, which is crucial for informing sustainable practices and regulatory compliance. The results of this analysis show a significant increase in total A2B and stationary sources (generators) from October 2023 to September 2024 as a source of immobile emissions. The analysis shows that carbon dioxide (CO2) gas is the most dominant component in total emissions from mobile sources (A2B). The findings of this study highlight the importance of mitigation efforts, such as improving energy efficiency and the integration of renewable energy sources, in reducing emissions in the mining sector. This research could help identify gaps and propose improvements to support companies in their mitigation efforts.
Implementation of IOT Remote Control-Based Solar Panel Cleaning System Innovation on Mobile Tower Riza, Febri Miftaqul; Batubara, Haris Fadhillah; Supriadi, Imam; Widiyanto, Agus; Yuko
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 10 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i10.1167

Abstract

The use of solar panels as an alternative energy source in mobile towers is growing along with the increasing need for environmentally friendly energy. However, the build-up of dust and dirt on the surface of the solar panel can reduce energy efficiency by up to 15–30%. This research aims to implement an Internet of Things (IoT)-based solar panel cleaning system with remote control to overcome this problem. The system allows for automatic monitoring and control of panel cleaning remotely, reducing reliance on manual labor and operational costs. The results of the implementation show an increase in energy efficiency, cost savings, and a positive impact on environmental sustainability. These results have three key implications: (1) technical - proving IoT automation effectively maintains renewable energy systems; (2) economic - establishing a cost-effective alternative to manual maintenance; and (3) environmental - reducing diesel dependency by 40% at test sites. The solution offers telecom operators a scalable model for sustainable infrastructure maintenance, with potential applications in other remote solar installations. Future research should explore AI integration for predictive cleaning scheduling.