Alignment of Chan's Supply Value chain Waste Management Using Artificial Intelligence

Economy circulation can extend product cycle life, efficiency in using (extracting) natural resources, reduce waste generated from the production process and use recycled products as an increase in state revenue. The amount of waste does not show that the pattern of supply chain management in waste management is still not optimal, and the management of organic, inorganic waste (plastic, glass, wood, etc.) to hazardous and toxic waste (B3) which causes pollution, increases emissions impact on human health and the environment. Prevention to reduce excessive consumption patterns, waste management with the 3R pattern (reduce, reuse, and recycle), bio-physical-chemical processes for turning waste into new products, and waste incineration processes. Implementation of the Integrated Circular Economy System of waste in Indonesia with several stages of separating the waste into several waste groups, waste collection, waste transportation, waste treatment, and final waste treatment. Data collection in the form of data sets in the process of artificial intelligence or data mining for descriptive analysis, diagnostic analysis to find out the root of the problem and the background that occurs, predictive analysis to predict what will happen in the future, predictive analysis which is carried out at the latest and requires 4.0 technology supported by Artificial Intelligence (AI), Internet of Things (IoT) which is integrated with information systems in waste management to be able to improve people's welfare, reduce waste from upstream / households and provide government input to make policy technical, budgeting, operational efficiency, optimization of TPA and garbage transportation system.