PLANNING FOR HANDLING INORGANIC WASTE IN POST-EARTHQUAKE AFFECTED AREAS, CUGENANG DISTRICT, CIANJUR REGENCY, WEST JAVA
On November 21, 2022 an earthquake occurred which hit the Cianjur Regency area. Cugenang District is one of the areas that was quite badly affected. Around 14,673 residents of Cugenang District had to flee to community posts. The high number of evacuees gathered at the evacuation post locations h...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/78328 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | On November 21, 2022 an earthquake occurred which hit the Cianjur Regency
area. Cugenang District is one of the areas that was quite badly affected. Around
14,673 residents of Cugenang District had to flee to community posts. The high
number of evacuees gathered at the evacuation post locations has led to a doubling
of the amount of waste generated, especially inorganic waste. Inorganic waste
generation reaches 3.86 tons/day. However, from the survey results it was found
that the waste handling system at the evacuation sites was not appropriate and
optimal. Therefore, it is necessary to design a plan for handling inorganic waste in
affected areas so that the waste produced does not become a vector for disease and
does not cause other negative impacts. The waste management plan prepared
includes sorting and containerization, collection, transportation and processing by
taking into account the need for urgent and necessary waste handling
infrastructure. There are three alternative technologies for processing inorganic
waste with a thermal system that will be selected using the Simple Additive Weight
(SAW) method by adjusting the design concept used, namely being responsive to
emergency and sudden situations, sustainable and effective and appropriate.
Plasma incinerator processing technology is the technology of choice to deal with
the problem of inorganic waste in earthquake-affected areas in Kec. Cugenang with
a reduction efficiency of system design reaches 90%. |
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