Hubungan Tinggi Badan Dengan Panjang Telapak Kaki Sesuai Metode Identifikasi Kasus Disaster Victim Identification Pada Kadet Mahasiswa Kedokteran Cohort - 4 Unhan RI
DOI:
https://doi.org/10.59585/bajik.v3i1.628Keywords:
Forensic Anthropology, Disaster Victim Identification, Foot Length, Height Estimation, Regression AnalysisAbstract
Forensic science plays an important role in Disaster Victim Identification (DVI), especially when primary identification methods such as fingerprint analysis, forensic odontology, and DNA profiling cannot be performed. In disaster victims whose body parts are dismembered, the parts need to be reassembled. One body part that is commonly separated is the foot, which is often protected in footwear such as shoes. By predicting height using foot length measurements, it is expected that forensic officers can reassemble the separated body parts based on the predicted height calculation. This study examines the correlation between foot length and height to establish a reliable regression formula for height estimation. Data were analyzed using SPSS 26 with normality tests, correlation analysis, and linear regression. The study results showed a statistically significant positive correlation between foot length and height (Pearson correlation: 0.821– 0.844), confirming that foot length is a strong predictor of height. The regression model (Height = 61.652 + 0.429 × Foot Length) explains 83.9% of the height variation, making it a valuable tool in forensic anthropology. This method can assist in victim identification, especially in mass disasters, dismemberment murder cases, and other forensic cases. Further research with larger and more diverse samples, including gender-specific models, is recommended to improve the accuracy and application of this regression formula.
References
Adelia, N. (2022). Analisis Antropometri Dan Daya Tahan Kebugaran Fisik Pada Mahasiswa Pendidikan Jasmani Universitas Lampung Angkatan 2021 Di Masa Pandemi Covid-19. Fakultas Keguruan Dan Ilmu Pendidikan Universitas Lampung Bandar Lampung, 1–23.
Adha, C. N., Prastia, T. N., & Rachmania, W. (2019). Gambaran Status Gizi Berdasarkan Lingkar Lengan Atas Dan Indeks Massa Tubuh Pada Mahasiswi Fikes Uika Bogor Tahun 2019. Promotor, 2(5), 340.
Adi, A. W., Bagaskoro, Y., Putra, A. S., P., T. J., Shalih, O., Dewi, A. N.
Karimah, R., Eveline, F., S., H. A., Purnamasiwi, D. I., Rizqi, A., Rahmawati, I., Shabrina, F. Z., Alfian, A., Hafizh, A., Syauqi, Kurniawan, D., Septian, R. T., Seniarwan, … Wibawanti, P. (2024). IRBI Indeks Risiko Bencana Indonesia Tahun 2023 (Vol. 02).
Aflanie, I. (2011). Perbandingan Korelasi Penentuan Tinggi Badan antara Metode Pengukuran Panjang Tibia Perkutaneus dan Panjang Telapak Kaki. Mutiara Medika, 11(3), 201–206.
Alejandro, M. R., Koesbardiati, T., Antropologi, D., & Airlangga, U. (2024). Estimasi Tinggi Dan Masa Tubuh Manusia Menggunakan Panjang Lenggang Kaki Serta Lebar Dan Panjang Telapak Kaki Manusia. 2(1).
Ambarita, E. O., Setyawati, I., & Yulihastuti, D. A. (2022). Hubungan Antropometri Tulang Panjang Terhadap Tinggi Badan Mahasiswa Suku Batak Toba di Kota Bekasi. Simbiosis X, 1, 28–41.
Asadujjaman, M., Rashid, M. H. O., Rana, M. S., & Hossain, M. M. (2022). Stature estimation from footprint measurements in Bangladeshi adults. Forensic Sciences Research, 7(2), 124–131.
Cahyadi, D., Jayadi, K., & Yasin, A. (2023). Antropometri & antropomorfi. Fakultas Seni Dan Desain, 10–11.
Carolyn, B. (2020). Accurate measurement of weight and height 2: calculating height and BMI. Nursing Times, 116(5), 42–44.
Devi, T. P., Kumar, P., Pratim, K. P., Chandravanshi, L. P., & Chauhan, M. (2021). Estimation of Stature from foot length in male indigenous population of Assam Region. The Foot, 49, 101840.
Fajri Ramadhan, A., Widayanti, E., & Zulhamidah, Y. (2021). Korelasi Tinggi Badan dan Rentang Tangan pada Mahasiswa Fakultas Kedokteran Universitas YARSI Angkatan 2016 dan 2017. Majalah Sainstekes, 8(1), 26–34.
Gin, K., Tovar, J., Bartelink, E. J., Kendell, A., Milligan, C., Willey, P., Wood, J., Tan, E., Turingan, R. S., & Selden, R. F. (2020). The 2018 California Wildfires: Integration of Rapid DNA to Dramatically Accelerate Victim Identification. Journal of Forensic Sciences, 65(3), 791–799.
Hadi, I., Rosyanti, L., Akhmad, A., Yanthi, D., & Syahrianti, S. (2023). Pelatihan dan Pembentukan Posko Tim Pengurusan Jenazah Sesuai Protokol Kesehatan dan Syariat Islam pada Masyarakat Pesisir. Poltekita: Jurnal Pengabdian Masyarakat, 4(2), 506–516.
Henky, & Safitry, O. (2012). Identifikasi Korban Bencana Massal : Praktik DVI Antara Teori dan Kenyataan. Indonesian Journal of Legal and Forensic Sciences, 2(1), 5–7.
Laily, N., Wulandari, A., Rahman, F., Silapurna, E. L., & Ulhaq, D. D. (2024). Analysis of Health Workers’ Preparedness Factors in Disaster Management at Disaster Prone Area Community Health Centers. Jurnal Berkala Kesehatan, 10(1), 10.
Mochtar, N. M. (2018). Prediksi Tinggi Badan Ditentukan dari Panjang Rentang Lengan dan Panjang Telapak Kaki Pada Mongoloid Feminina Khususnya Etnis Jawa. Qanun Medika - Medical Journal Faculty of Medicine Muhammadiyah Surabaya, 2(2), 49–54.
Nuha, I. U., Handayani, S., & Afifah, Z. N. (2017). Estimasi Tinggi Badan Berdasarkan Panjang Demispan dan Panjang Femur pada Mahasiswa Fakultas Kedokteran UNS Surakarta. 40–49.
Paluta, R. S., Tanudjaja, G. N., & Pasiak, T. F. (2013). Hubungan Tinggi Badan Dengan Panjang Kaki Pada Mahasiswa Fakultas Kedokteran Unsrat. Jurnal Biomedik (Jbm), 5(1), 83–88.
Pratiwi, E. M. (2008). Adln-perpustakaan universitas airlangga. 1–39. Prawestiningtyas, E., & Algozi, A. M. (2013). Identifikasi Forensik Berdasarkan Pemeriksaan Primer dan Sekunder Sebagai Penentu Identitas Korban pada Dua Kasus Bencana Massal. Jurnal Kedokteran Brawijaya, 25(2), 88–94.
Ratumanan, S. P., Achadiyani, & Khairani, A. F. (2023). Metode Antropometri Untuk Menilai Status Gizi : Sebuah Studi Literatur. Health Information Jurnal Penelitian, 15, 1–10.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Nicholas Gabriel Harefa, Sofiana Sofiana
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
