Abstract:
Indonesia faces a significant waste management crisis, which is exacerbated by low
public awareness and ineffective waste segregation methods at the source level. Data
from the Ministry of Environment and Forestry's National Waste Management
Information System (SIPSN) reveals that a large portion of potentially recyclable
materials become unusable due to improper sorting practices. This results in
uncontrolled accumulation of waste, blockage of drainage systems, as well as
environmental pollution that poses health risks to the community. Under these
conditions, it is critical for relevant agencies to implement advanced technologies and
targeted interventions to increase public awareness, improve recycling rates, and
manage overall environmental health.
Traditional waste management approaches that rely on manual sorting face various
challenges. This method is not only time-consuming and labor-intensive, but also prone
to human error and unable to handle the increasing volume of waste in densely
populated areas. A new approach is needed in the form of an automated waste sorting
system that can be accessed directly by the community. This kind of system can utilize
artificial intelligence (AI) as automation to accurately classify waste types using visual
images, as well as Internet of Things (IoT) technology.
Internet of Things (IoT) technology for real-time data monitoring. This innovation has
the potential to simplify the process for the community, especially for those who lack
knowledge of waste categories, while increasing awareness of the importance of
keeping the environment clean.
