Design of Organic and Organic Waste Selecting Systems Inorganic Based Microcontroller With Using Proximity Sensors

Abstract

This study discusses automatic waste sorting devices based on their types, namely organic and inorganic, using inductive and capacitive proximity sensors based on the Internet of Things (IoT). The research background explains that waste is a residual material from industrial or household activities in solid or semi-solid form, both organic and inorganic, which has the ability to decompose or not decompose and is often thrown into the environment because it is no longer useful . To prevent environmental pollution and facilitate the process of recycling waste, it is necessary to sort waste according to its type. Therefore, an automatic waste sorting tool is made using inductive and capacitive proximity sensors. The waterfall system development method is used in this study, namely by carrying out the analysis, design, implementation, and trial stages. The results of this study indicate that automatic waste sorting devices using inductive and capacitive proximity sensors can function properly and sort waste by type with high accuracy. Other research discussed in the literature also contributes to the development of automatic waste sorting tools, such as the use of automatic program logic and ultrasonic.