NATIONAL SOLID WASTE STATUS/PROFILE BASED ON 2022 SIPSN DATA
The increase in the world's population is directly proportional to the increase in waste generation each year. The facilities and waste management infrastructure are closely related to the waste status of a country, especially in Indonesia. To support the development of waste management infrast...
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Format: | Final Project |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/75372 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The increase in the world's population is directly proportional to the increase in waste generation each year. The facilities and waste management infrastructure are closely related to the waste status of a country, especially in Indonesia. To support the development of waste management infrastructure, data on waste parameters are essential for planning waste management. This research analyzes the availability of statistical data on waste management in the National Waste Management Information System (SIPSN) and the current waste status in Indonesia. The aim of this study is to analyze the changes in national waste generation, examine the differences in waste composition from various sources in districts and cities across Indonesia, analyze the development of national waste management facilities, and determine the profile or waste status of the nation from 2019 to 2022. The analysis is conducted on waste generation data, waste composition, waste sources, and waste management achievements using descriptive, quantitative, and qualitative analysis methods. The waste management facilities have shown an increase from 2019 to 2022. The success of SIPSN data collection for waste generation, waste composition, and waste sources is at 52.33%. Among the four classifications of cities in Indonesia, namely Metropolitan, Large, Medium, and Small, small cities have the highest average daily waste generation. Food waste is the most dominant type of waste in all four types of cities, from small cities to metropolitan areas, with the highest source being households.
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