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All Journal Dentika Dental Journal Journal of Dentistry Indonesia ODONTO Dental Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Kedokteran Gigi Universitas Padjadjaran Padjadjaran Journal of Dentistry Padjadjaran Journal of Dental Researchers and Students JMECS (Journal of Measurements, Electronics, Communications, and Systems) eProceedings of Engineering Odonto dental journal Jurnal Forensik dan Medikolegal Indonesia Purbawidya: Jurnal Penelitian dan Pengembangan Arkeologi Kalpataru
Fahmi Oscandar, Fahmi
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Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health Social Sciences

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The preliminary research of intercanine distance between humans and dogs by bite mark analysis Yeong, Lee Deng; Dardjan, Murnisari; Susilawati, Sri; Oscandar, Fahmi; Rajion, Zainul Ahmad
Padjadjaran Journal of Dentistry Vol 33, No 2 (2021): July 2021
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/pjd.vol33no2.26584

Abstract

Introduction: Bite marks between humans and dogs have a similar appearance and it becomes a challenge study for the dentist and forensic odontologists to discern between them. Intercanine distance (ICD) is one of the parameters to identify the biter species in humans and animals. The aim of this study was to analyse the differences of the ICD between humans and dogs. Methods: The analytical study design was done by measuring the ICD of bite marks in 65 humans and 22 dogs selected by purposive non-random sampling method with the inclusion criteria for human samples, students of Faculty of Dentistry Universitas Padjadjaran between 18 to 28 years old, canine occlusal relationship class I, presence of both intact canine teeth in each jaw, normal overjet and no diastema at the anterior teeth; and for dog samples, mesaticephalic skull shaped, having four intact canine teeth, and located across animal centres in Bandung. The gender and dental arch shape in humans and dogs were excluded. Human bite registrations were taken using wax pieces, while dog anterior teeth impressions were taken which were then casted with dental stone. The ICD was then measured using a digital vernier caliper with 0.01 mm resolution. The inter- and intra-observer variability calibrations were done before the sample measurements. The Mann-Whitney U statistical analysis was done to determine the significance between ICD of humans and dogs (p<0.05). Ethical clearance (No.1225/UN6.KEP/EC/2018) was obtained for both groups prior research study. Results: The statistical analytic showed, (p=0.0002) between humans and small and large sized dogs; (p=0.5093) for medium sized dogs in the maxillary. In the mandibula, showed (p=0.0002) between humans and small and large sized dogs; (p=0.0003) for medium sized dogs. Conclusion: The ICD analysed in this study were concluded to be different between humans and dogs (all sizes) in mandibular, humans and dogs (small and large sized) in maxillary. Conversely, the ICD between humans and medium sized dogs in maxillary were similar.
Deteksi Pulpitis Menggunakan Machine Learning Convolutional Neural Network Berbasis CNN1D dan MFCC Wibisono, Adrian; Sa’idah, Sofia; Oscandar, Fahmi
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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Abstract

Tulisan ini membahas isu krusial dalam upaya menjaga kesehatan gigi masyarakat, khususnya yang berkaitan dengan pulpitis, sebuah kondisi peradangan pada pulpa gigi yang dapat dipengaruhi oleh beberapa variable seperti infeksi bakteri, trauma, atau kerusakan gigi. Penulis memperkenalkan sebuah solusi inovatif untuk mendeteksi dan membedakan gigi yang terkena pulpitis dari gigi yang sehat. Solusi ini diharapkan dapat membantu dokter gigi dalam proses diagnosis dan perawatan pulpitis agar lebih efektif dan juga efisien. Untuk mencapai tujuan tersebut, penulis mengembangkan sebuah sistem berbasis pembelajaran mesin yang menggunakan deteksi pulpitis melalui analisis sinyal audio. Dalam penelitian ini, model Convolutional Neural Network 1D (CNN1D) digunakan bersama dengan proses ekstraksi fitur Mel-Frequency Cepstral Coefficients (MFCC). Model CNN1D dioptimalkan menggunakan optimizer Adam dengan tingkat pembelajaran sebesar 0.001, ukuran batch 32, dan proporsi data uji sebesar 20%. Evaluasi model dilakukan dengan confusion matrix untuk menganalisis akurasi prediksi berdasarkan sinyal audio. Metode pembelajaran mesin yang diusulkan ini menunjukkan potensi besar dalam membantu tenaga kesehatan, terutama dokter gigi, untuk mendiagnosis pulpitis dengan tingkat akurasi yang tinggi, sehingga dapat meningkatkan kualitas perawatan dan hasil pengobatan bagi pasien. Kata kunci—CNN1D, Confusion matrix, Data, Ekstraksi ciri, Gigi, Machine learning, MFCC, Pulpitis.
Age estimation of ancient skeletons based on the molar teeth attrition Ramadhani, Triane Ayu; Sarilita, Erli; Malinda, Yuti; Yondri, Lutfi; Cunningham, Craig A; Oscandar, Fahmi
Odonto : Dental Journal Vol 12, No 2 (2025): August 2025
Publisher : Faculty of Dentistry, Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/odj.12.2.222-230

Abstract

Background: Two ancient skeletons (Subang Men) were excavated at the Subanglarang site, Subang Regency, West Java, Indonesia. The partial jaw containing set of teeth from the two skeletons was examined to determine the level of dental attrition present which was then used to estimate age at death.Objective: The aim of this study was therefore to determine the pattern of attrition on the molar teeth and use this to estimate the age at death of the Subang Men.Methods: The pattern of attrition in each cusp of the first molar (M1) and second molar (M2) was examined clinically and then compared with the Average Stage of Attrition (ASA) method. Estimated age was then estimated using formula that are outlined in the Average Stage of Attrition (ASA) method.Results: The results showed that the level of attrition that occurred in the M1 and M2 teeth of the two ancient man was significant. The estimated age at death calculated based on the attrition pattern of molar teeth for skeleton 1 was 38.9 and skeleton 2 was 61.9-64.6.Conclusion: Dental attrition which is caused by physiologic and pathologic teeth friction is related to age. Therefore, age estimation can be determined based on the attrition pattern that occurs in the teeth.
Age estimation of ancient skeletons based on the molar teeth attrition Ramadhani, Triane Ayu; Sarilita, Erli; Malinda, Yuti; Yondri, Lutfi; Cunningham, Craig A; Oscandar, Fahmi
Odonto : Dental Journal Vol 12, No 2 (2025): August 2025
Publisher : Faculty of Dentistry, Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/odj.12.2.222-230

Abstract

Background: Two ancient skeletons (Subang Men) were excavated at the Subanglarang site, Subang Regency, West Java, Indonesia. The partial jaw containing set of teeth from the two skeletons was examined to determine the level of dental attrition present which was then used to estimate age at death.Objective: The aim of this study was therefore to determine the pattern of attrition on the molar teeth and use this to estimate the age at death of the Subang Men.Methods: The pattern of attrition in each cusp of the first molar (M1) and second molar (M2) was examined clinically and then compared with the Average Stage of Attrition (ASA) method. Estimated age was then estimated using formula that are outlined in the Average Stage of Attrition (ASA) method.Results: The results showed that the level of attrition that occurred in the M1 and M2 teeth of the two ancient man was significant. The estimated age at death calculated based on the attrition pattern of molar teeth for skeleton 1 was 38.9 and skeleton 2 was 61.9-64.6.Conclusion: Dental attrition which is caused by physiologic and pathologic teeth friction is related to age. Therefore, age estimation can be determined based on the attrition pattern that occurs in the teeth.
Radio Identification Methods for Archaeological Human Teeth Remains: A Scoping Review Oscandar, Fahmi; Surya, Dia Adinda; Yondri, Lutfi
KALPATARU Vol. 31 No. 2 (2022)
Publisher : Badan Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/kpt.2022.2889

Abstract

Identification of archaeological human teeth findings using a non-destructive method such as a radiograph is limited. Various methods have been used for archaeological human teeth findings, including 2D and 3D radiographs. This study examines the extent to which it is used, its advantages, and its limitations using the scoping review method. The search for articles referred to the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA-ScR) was conducted through PubMed, Scopus, and ScienceDirect, published from 2012-2022. Articles were screened and assessed for eligibility. The initial search found 249 articles. After evaluating the eligibility criteria, 15 articles were selected. Studies addressing the criteria and other aspects were identified. Based on a study conducted on articles that met the criteria, it was concluded that the radio identification method has been utilized for various identification and that the most frequently used radio identification method is cone-beam computed tomography (CBCT).
Co-Authors Adzra, Faaiq Ammaria Ajeng Wulandari Alwani, Rania Putri Alwin Kasim Amaliya A., Amaliya Andriani Harsanti, Andriani Anie Apriani, Anie Anna Muryani Azhari A Azhari Azhari Banowati, Aulia Puti Nuraini Belly Sam BIRU, BANYU Biyantini, Nisa Milati Cunningham, Craig A Devy Firena Garna Dewi Zakiawati, Dewi Emi Khoironi, Emi Endang Sukartini, Endang Eriska Riyanti Evirilia, Evirilia Farina Pramanik Georgiana Marsya, Georgiana Hidayat, Septian Rahmat Hilman Fauzi, Hilman Inne Suherna Sasmita Ira Komara, Ira Kancana, Sildha Pura Khaerunnisa, Rahmadaniah Lucky Riawan Lusi Epsilawati Lutfi Yondri Mardhian, Deby Fajar Munandar, Firstady Widyarnan Murnisari Dardjan, Murnisari Murugaiah, Suganya Nani Murniati Nugraha, Alhana Ramadhani, Triane Ayu Redzuan Lee, Mohammad Adib Ria Noerianingsih Firman, Ria Noerianingsih Rista D Soetikno Risti Saptarini Primarti Romadhona, Shabrina Rozano, Randy Rusydiana, Fitri Saputri, Ikra Yuni Sarilita, Erli Sa’idah, Sofia Senjaya, Taufik Setiadi, Desyani Setianingtyas, Prastiwi Shalihah, Desyani Soo, Sheng Cheng Sri Susilawati Suhardjo Suhardjo Sitam, Suhardjo Suhardjo Suhardjo Supian, Sudradjat Surya, Dia Adinda Tsani, Fajri Wibisono, Adrian Wulandari, Felia Resha Yeong, Lee Deng Yoni Fuadah Syukriani Yoni Syukriani, Yoni Yurika Ambar Lita Yuti Malinda Zainul Ahmad Rajion, Zainul Ahmad