The relationship between time period of fingerprints being imprinted on zip-lock plastic bags and latent fingerprint minutiae extracted using black powder and cyanoacrylate technique
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Abstract
The study aims to 1) to make a comparison between latent fingerprint extracted from zip-lock bags and black powder and Cyanoacrylate techniques 2) to examine the relationship between imprinting fingerprints time period and latent fingerprint minutiae extracted using black powder and Cyanoacrylate techniques. This study was experimental research: Static Group Comparison on developing latent fingerprints from zip-lock bags by black powder and Cyanoacrylate on 28 days (divided into 0,1,2,3,4,5,6,7,14,21 and 28 days). Descriptive Statistics: Frequency, Percentage, Mean, Maximum, Minimum and Standard deviation were used to describe attributes of a database. Inference Statistics: paired samples t-test and Pearson’s correlation coefficient and Linear Regression analysis.
The results showed that 1) Developing latent fingerprint extracted from zip-lock bags using black powder and Cyanoacrylate collect latent fingerprint minutiae. The result revealed that using black powder is better than Cyanoacrylate analyzed with 0.05 statistical significance. The means of black powder=53.64 and Cyanoacrylate =42.00. 2) Developing latent fingerprint extracted from zip-lock bags using black powder (0 to 28 days) was r=0.990 (at very high level) predict percentage of imprinting fingerprints time=98.0 and the predicted equation was y = 30.535 – 0.415x. Cyanoacrylate (0 to 28 days) was r=0.894 (at high level) and also predict percentage of imprinting fingerprints time=80.0 and the predicted equation was y = 54.437 – 1.503x. The equation was divided into two parts, the first part at 0-14 days was r=0.941 (at very high level) and predict percentage of imprinting fingerprints time=88.5; the predicted equation was y = 19.261 – 0.313x. The last part at 14-28 days was r = 0.998 (at very high level) and predict percentage of imprinting fingerprints time=99.6; the predicted equation was y = 91.230 – 3.098x.
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