METODE ESTIMASI UMUR UNTUK SPESIFIK POPULASI INDONESIA
DOI:
https://doi.org/10.55123/sabana.v4i3.5984Keywords:
Age Estimation, Forensic Anthropology, Indonesian Population, Dental Methods, Skeletal MethodsAbstract
Indonesia has extensive ethnic and biological diversity, which presents unique challenges in the application of age estimation methods, particularly within the context of forensic anthropology. This study aims to review various age estimation methods that have been used in Indonesia over the past ten years, including approaches based on teeth, bones, skulls, and bone histology. Each method is analyzed to the Indonesian population. The findings show that dental methods such as Demirjian, Willems, and the Indonesian Dental Development Atlas are fairly accurate for children and adolescents, although they exhibit ethnic and gender biases. For adult populations, approaches involving bone and skull analysis are more effective, while bone histology methods are suitable for fragmented remains, despite being invasive. Furthermore, the use of artificial intelligence technologies shows significant potential in improving estimation accuracy, although it still requires representative local datasets. This review highlights the importance of adapting methods to the characteristics of the Indonesian population and the need to develop local standards to support a more accurate and equitable forensic identification process.
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References
E. Fatmawati, “Strategies to grow a proud attitude towards Indonesian cultural diversity,” Linguist. Cult. Rev., vol. 5, no. S1, pp. 810–820, 2021, doi: 10.21744/lingcure.v5ns1.1465.
D. H. Ubelaker and H. Khosrowshahi, “Estimation of age in forensic anthropology: historical perspective and recent methodological advances,” Forensic Sci. Res., vol. 4, no. 1, pp. 1–9, 2019, doi: 10.1080/20961790.2018.1549711.
A. H. Larasati, T. Koesbardiati, and A. Yudianto, “Estimasi Tinggi Badan Berdasarkan Ukuran Kepala pada Ras Mongoloid di Pandean, Surabaya,” J. Biosains Pascasarj., vol. 20, no. 2, p. 107, 2018, doi: 10.20473/jbp.v20i2.2018.107-119.
N. A. Amir, M. Rahmat, F. R. R, D. Mathius, A. Millaty, and H. Dirgahayu, “Identifikasi Perkiraan Jenis Kelamin dan Usia pada Temuan Tulang Tengkorak di Daerah Wajo yang di Otopsi di Rumah Sakit Bhayangkara Makassar,” Prepotif J. Kesehat. Masy., vol. 9, no. Nomor 2, pp. 2956–2963, 2025.
B. Marcante, L. Marino, N. E. Cattaneo, A. Delicati, P. Tozzo, and L. Caenazzo, “Advancing Forensic Human Chronological Age Estimation: Biochemical, Genetic, and Epigenetic Approaches from the Last 15 Years: A Systematic Review,” Int. J. Mol. Sci., vol. 26, no. 7, pp. 1–44, 2025, doi: 10.3390/ijms26073158.
A. Kurniawan et al., “Accuracy of Tooth Development as an Indicator of Dental Age Estimation for Children in Indonesia,” e-GiGi, vol. 10, no. 1, p. 144, 2022, doi: 10.35790/eg.v10i1.39553.
Firdaus, R. Puspitawati, and B. Nehemia, “Age estimation of 8- to 25-year-olds based on third molar calcification using the Demirjian method in an Indonesian population,” J. Phys. Conf. Ser., vol. 1073, no. 2, 2018, doi: 10.1088/1742-6596/1073/2/022005.
B. F. W. R. Prakoeswa et al., “Using the Demirjian method for estimating the dental age of children in Surabaya, Indonesia,” Dent. J., vol. 56, no. 2, pp. 87–91, 2023, doi: 10.20473/J.DJMKG.V56.I2.P87-91.
Mieke Sylvia Margaretha et al., “Unveiling dental age patterns in a Chinese population: A study in Surabaya using the Demirjian method,” World J. Adv. Res. Rev., vol. 19, no. 1, pp. 529–534, 2023, doi: 10.30574/wjarr.2023.19.1.1352.
A. Kurniawan et al., “The Applicable Dental Age Estimation Methods for Children and Adolescents in Indonesia,” Int. J. Dent., vol. 2022, 2022, doi: 10.1155/2022/6761476.
A. P. Al. Utama, Mohammad Dharma, Nurfadhilla Arifin, Yusrini Selviani, Ardian Jaya Kusuma, “Perbedaan Usia Dental Antara Metode Demerjian dan Cameriere Menggunakan Radiography Panoramik,” IJOH Indones. J. Public Heal., vol. 2, no. 4, pp. 871–881, 2025.
A. Kurniawan, M. Wibowo, A. Chusida, B. Rizky, and B. Prakoeswa, “Adults’ dental age estimation by Cameriere’s method using mandibular canines’ pulp/tooth ratio in Surabaya, Indonesia. Bulletin of the International Association for Paleodontology 2022;16(1)8-16.,” vol. 16, no. 1, pp. 8–16, 2022.
M. S. M. Swastirani, Astika, Haryono Utomo, “Estimasi Usia dengan Orthopantomogram pada Pasien Rumah Sakit Gigi dan Mulut Pendidikan Universitas Airlangga,” E-Prodenta J. Dent., vol. 2, no. 1, pp. 124–129, 2018.
A. Kurniawan et al., “The applicability of dental age estimation based on the staging and atlas approaches in Indonesian children and adolescents,” Eur. J. Anat., vol. 28, no. 5, pp. 525–531, 2024, doi: 10.52083/UJVG7422.
A. Kurniawan et al., “Dental age estimation using a convolutional neural network algorithm on panoramic radiographs: A pilot study in Indonesia,” Imaging Sci. Dent., vol. 55, no. 1, pp. 28–36, 2025, doi: 10.5624/isd.20240134.
N. Mohammad, R. Ahmad, M. H. A. Gaus, A. Kurniawan, and M. Y. P. M. Yusof, “Accuracy of automated forensic dental age estimation lab (F-DentEst Lab) on large Malaysian dataset,” Forensic Sci. Int., vol. 361, no. March, 2024, doi: 10.1016/j.forsciint.2024.112150.
A. S. Putri, N. Soedarsono, B. Nehemia, D. S. Atmadja, and D. H. Ubelaker, “Age estimation of individuals aged 5–23 years based on dental development of the Indonesian population,” Forensic Sci. Res., vol. 7, no. 2, pp. 115–123, 2021, doi: 10.1080/20961790.2021.1886648.
T. Gumpangseth and P. Mahakkanukrauh, “Age estimation in the combined long bones and ribs by histomorphometry: Past, present, and future,” Med. Sci. Law, vol. 64, no. 1, pp. 52–71, 2024, doi: 10.1177/00258024231208280.
A. E. Asdiana, R. Puspitawati, and N. Soedarsono, “Age Estimation via Orocraniofacial Based on Direct Observation and Radiography,” J. La Medihealtico, vol. 5, no. 1, pp. 40–49, 2024, doi: 10.37899/journallamedihealtico.v5i1.1036.
S. Ruengdit, S. Prasitwattanaseree, K. Mekjaidee, A. Sinthubua, and P. Mahakkanukrauh, “Age estimation approaches using cranial suture closure: A validation study on a Thai population,” J. Forensic Leg. Med., vol. 53, pp. 79–86, 2018, doi: 10.1016/j.jflm.2017.11.009.
R. C. S. Anjani, M. D. Artaria, P. Singsuwan, J. Arunorat, and P. Mahakkanukrauh, “Biological Identification of Skulls in Indonesian and Thai Populations: Ancestry Estimation, Sex Determination, Stature Estimation, and Age Estimation,” Int. J. Morphol., vol. 42, no. 1, pp. 137–146, 2024, doi: 10.4067/S0717-95022024000100137.
T. M. P. Lio, T. Koesbardiati, A. Yudianto, and R. Setiawati, “Waktu Penutupan Epifisis Tulang Radius dan Ulna Bagian Distal,” J. Biosains Pascasarj., vol. 19, no. 1, p. 55, 2017, doi: 10.20473/jbp.v19i1.2017.55-67.
R. S. Pasaribu, A. Rahmadhani, and R. Puspitawati, “Kolumna Vertebral sebagai Parameter Estimasi Usia dan Determinasi Jenis Kelamin Vertebral Column as the Parameter of Age Estimation and Sex Determination,” Med. Scope J., vol. 5, no. 2, pp. 294–304, 2023.
V. Utama, N. Soedarsono, and M. Yuniastuti, “Assessment of agreement between cervical vertebrae skeletal and dental age estimation with chronological age in an Indonesian population,” J. Forensic Odontostomatol., vol. 38, no. 3, pp. 16–24, 2020.
P. Arief et al., “Perkiraan Usia Berdasarkan Tulang Belulang,” J. MedScientiae, vol. 3, no. 2, pp. 168–175, 2024.
C. Rissech, G. F. Estabrook, E. Cunha, and A. Malgosa, “Using the acetabulum to estimate age at death of adult males,” J. Forensic Sci., vol. 51, no. 2, pp. 213–229, 2006, doi: 10.1111/j.1556-4029.2006.00060.x.
M. F. Darmawan, A. F. Z. Abidin, S. Kasim, T. Sutikno, and R. Budiarto, “Random forest age estimation model based on length of left hand bone for asian population,” Int. J. Electr. Comput. Eng., vol. 10, no. 1, pp. 549–558, 2020, doi: 10.11591/ijece.v10i1.pp549-558.
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