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Eri Hendra Jubhari
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INDONESIA
MDJ (Makassar Dental Journal)
Published by Persatuan Dokter Gigi Indonesia Cabang Makassar
ISSN : 20898134     EISSN : 25485830     DOI : 10.35856/mdj
Core Subject : Health,
Dentistry
The journal receives a manuscript from the following area below Dentistry science and development with interdisciplinary and multidisciplinary approach: Dental Public Health and Epidemiology Oral and Maxillofacial Surgery Dental Conservation and Endodontics Preventive Dentistry Biomedical Dentistry Dental Radiology Pediatric Dentistry Oral Pathology Prosthodontics Traumatology Oral Biology Biomaterials Orthodontics Periodontics
Arjuna Subject : Kedokteran Gigi - Kedokteran Gigi (Lain-Lain)
Articles 931 Documents
 90   91   92   93   94 
A computer-based analysis of the accuracy of bite mark identification using cheese blocks among batch 2022 students at the Faculty of Dentistry, Baiturrahmah University: Analisis computer-based method terhadap akurasi identifikasi bite mark dengan media cheese blok pada mahasiswa Fakultas Kedokteran Gigi Angkatan 2022 Universitas Baiturrahmah Eliyana Nolpita; Firdaus; Resti Iswani; Satria Yandi
Makassar Dental Journal Vol. 15 No. 2 (2026): Volume 15 Issue 2 August 2026
Publisher : Makassar Dental Journal PDGI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35856/mdj.v15i2.1161

Abstract

Bite marks are a forensic identification method that involves analysing bite marks resulting from trauma to the human body. Bite marks are frequently found in cases of sexual assault, murder, child abuse, and on food remains at crime scenes. However, few victims report these marks due to feelings of shame, psy-chological trauma, fear of being blamed, and a lack of understanding that bite marks can serve as valid legal evidence. This study analysed the accuracy of using a computer-based method for bite mark identification on cheese blocks through quantitative analytical observation using a cross-sectional design, involving 50 samples obtained via purposive sampling. Data were analysed using IBM SPSS version 30.0 and the Kruskal-Wallis statistical test, which indicated good accu-racy, particularly in classifications from class 2 to class 5; characterised by a high number of excellent matches. Statistical tests showed a significant level of accuracy (p=0.000; p<0.05). It was concluded that the use of computer-based methods has a significant level of accuracy for forensic identification.

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