Digital Forensics: Application Innovation for Fingerprint Pattern Research

Fingerprint patterns are unique phenotypes in each individual that are formed genetically and do not change throughout life unless influenced by environmental damage (Mundijo & Chairani, 2018; Purbasari, 2017). The inheritance of fingerprint patterns from parents to children has been proven in various studies, where 46.4% of children obtain fingerprint patterns similar to their parents. Based on this phenomenon, this study aims to investigate the inheritance of fingerprint patterns in families, especially in the Javanese population, and to analyze the similarities of these patterns using specially developed software. This study uses a Fingerspot Flexcode 4500 fingerprint scanner combined with software to record, store, and analyze fingerprint patterns digitally. The development of the software aims to facilitate the process of analyzing the inheritance of fingerprint patterns and studying the similarities and differences in one family. The method used is the creation of a tool in the form of software that is able to record individual personal data, scan fingerprints, and analyze pattern similarities between individuals. The constraints faced in this study were the length of time required for the design and development of the software, so that the fingerprint pattern analysis stage could not be completed during this research period. Initial results indicate that the software developed has great potential to facilitate fingerprint pattern analysis and identify genetic inheritance in families. This study is expected to contribute to further understanding of the genetic aspects in the formation of fingerprint patterns as well as practical applications in the fields of forensics and family identification. The targeted output is publication in a Q1-Q4 indexed journal or non-Q proceedings.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-11-22
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.29904
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
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article

Digital Forensics: Application Innovation for Fingerprint Pattern Research

Mustika Chasanatusy Syarifah -, Tri Wahyuni Bintarti -, Tri Deviasari Wulan -, Belqis Nurul Islam - et al.
International Journal For Multidisciplinary Research
Biometric Identification and Security
article

Digital Forensics: Application Innovation for Fingerprint Pattern Research

Mustika Chasanatusy Syarifah -, Tri Wahyuni Bintarti -, Tri Deviasari Wulan -, Belqis Nurul Islam -, Mufidah Sheena Andani Prastini -
article en

Abstract

Fingerprint patterns are unique phenotypes in each individual that are formed genetically and do not change throughout life unless influenced by environmental damage (Mundijo & Chairani, 2018; Purbasari, 2017). The inheritance of fingerprint patterns from parents to children has been proven in various studies, where 46.4% of children obtain fingerprint patterns similar to their parents. Based on this phenomenon, this study aims to investigate the inheritance of fingerprint patterns in families, especially in the Javanese population, and to analyze the similarities of these patterns using specially developed software. This study uses a Fingerspot Flexcode 4500 fingerprint scanner combined with software to record, store, and analyze fingerprint patterns digitally. The development of the software aims to facilitate the process of analyzing the inheritance of fingerprint patterns and studying the similarities and differences in one family. The method used is the creation of a tool in the form of software that is able to record individual personal data, scan fingerprints, and analyze pattern similarities between individuals. The constraints faced in this study were the length of time required for the design and development of the software, so that the fingerprint pattern analysis stage could not be completed during this research period. Initial results indicate that the software developed has great potential to facilitate fingerprint pattern analysis and identify genetic inheritance in families. This study is expected to contribute to further understanding of the genetic aspects in the formation of fingerprint patterns as well as practical applications in the fields of forensics and family identification. The targeted output is publication in a Q1-Q4 indexed journal or non-Q proceedings.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 66%
Biometric Identification and Security
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