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Development of (Dss + R) For Forensic Investigation In Detecting Human<br />

Cadaver Of Clandestine Grave<br />

Low Mei Yeen<br />

Supervisor: Assoc. Prof. Dr. Noor Maizura binti Mohamad Noor<br />

Bachelor of Computer Science with Maritime Informatics<br />

School of Informatics and Applied Mathematics<br />

Locating and identifying human cadaver in clandestine graves can be a very timeconsuming<br />

process especially when it involves a wide area. The process is further<br />

hampered by various factors that may be environmental as well as manmade. The current<br />

methods are using canines as well as ground-penetrating radar (GPR) to determine the<br />

location of graves. However, both methods are not 100% fool proof as they involve a<br />

significant amount of guess-work. The system which is known as CHAVET is a method<br />

that calls for the testing of soil using chemicals produced from decomposition of human<br />

cadaver. It will have a library of data pre-installed to be compared to the data collected<br />

from suspected soil locations in order to give a calculated result that has taken into<br />

account the risk factors that will negatively affect the result. Thus, the system will be able<br />

to aid in forensic investigation work.<br />

676 | UMT UNDERGRADUATE RESEARCH DAY 2018

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