Issue |
E3S Web of Conf.
Volume 485, 2024
The 7th Environmental Technology and Management Conference (ETMC 2023)
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Article Number | 02015 | |
Number of page(s) | 9 | |
Section | Wastewater and Resource Recovery | |
DOI | https://doi.org/10.1051/e3sconf/202448502015 | |
Published online | 02 February 2024 |
Real data mapping of DKI Jakarta waste generation using the K-mean Clustering method at final disposal Bantargebang
1 Department of Environmental Engineering, Institut Teknologi Bandung, Jalan Ganesa No.10, Bandung, 40132, Indonesia.
2 Department of Environmental Engineering, Universitas Pelita Bangsa, Jalan Inspeksi Kalimalang, Bekasi, 17550, Indonesia.
* Corresponding author: doditardiatma@gmail.com
Final disposal Bantargebang is the largest final disposal in Indonesia which is located in the city of Bekasi with the DKI Jakarta service area. DKI Jakarta’s waste generation in September 2022 is 5948,98 tons/day to 8773,76 tons/day, due to limited land issues and DKI Jakarta’s high waste generation every day. DKI Jakarta needs waste management and determination of the right technology. Mapping waste generation aims to display visual data on waste distribution, to facilitate the determination of DKI Jakarta waste management policies both from sources and at final disposal. Clustering uses the K-mean method using 40,514 data sets of waste generation. The real data on waste generation was obtained from recording directly at the final disposal Bantargebang weighbridge facility with waste sources from DKI Jakarta (West Jakarta, East Jakarta, Central Jakarta, South Jakarta and North Jakarta) for 30 working days with operating hours 24 hours/day. An average waste generation was obtained of 7,512 tonnes/day with a total of 1301 trucks/day. The number of clusters obtained was 3 with 43 members, where cluster 0 had 20 members, cluster 1 had 14 members and cluster 2 had 9 members and the distance performance value showed 0.399.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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