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All Journal Dentika Dental Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) 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 Journal of Dentomaxillofacial Science Padjadjaran Journal of Dental Researchers and Students JMECS (Journal of Measurements, Electronics, Communications, and Systems) Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) eProceedings of Engineering Odonto dental journal Jurnal Forensik dan Medikolegal Indonesia Purbawidya: Jurnal Penelitian dan Pengembangan Arkeologi Kalpataru
Fahmi Oscandar
Departemen Radiologi Dentomaksilofasial, Fakultas Kedokteran Gigi Universitas Padjadjaran Bandung, Indonesia
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Energy 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 correlation between the severity of anterior crossbite and skeletal deformities in post-surgery cleft lip and palate among children Setianingtyas, Prastiwi; Primarti, Risti Saptarini; Riawan, Lucky; Oscandar, Fahmi
Padjadjaran Journal of Dentistry Vol 32, No 3 (2020): November 2020
Publisher : Faculty of Dentistry Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/pjd.vol32no3.17952

Abstract

Introduction: Cleft lip and palate is the most common craniofacial malformations, which is a congenital deformity of lip and palate or both. Anterior crossbite is occlusal characteristics that are often found in patients with cleft lip and palate who had surgery, caused by dentoalveolar or skeletal abnormalities, can be distinguished based on the cephalometric analysis. This research was aimed to analyse the correlation between the severity of anterior crossbite and skeletal deformities in post-surgery cleft lip and palate among children. Methods: The research design was an analytic correlation with the sample selection based on purposive sampling. The research was conducted from 14 cleft lip and palate patients in the primary dentition (aged 4-6 years old) who had surgery (for 2-3 years) using analysis of study models and cephalometric digital. Statistical analysis was conducted by Spearman Rank Correlation Coefficient test to analyse the relationship between the severity of anterior crossbite with skeletal deformities. Results: Statistic test showed that 42.86% of the anterior crossbite in the cleft lip and palate post-surgery in primary dentition had a very high level of severity, thus leading to very poor occlusion. As many as 21.43% had a high level of severity, which leads to poor occlusion, and 35.71% had a moderate level of severity, which leads to fair occlusion. The Spearman Coefficient of Rank Correlation test results showed a weak correlation between the severity of anterior crossbite with skeletal deformities with coefficient relation of 0.13 and p-value of 0.48 (p<0.05). Conclusion: There is a weak correlation between the severity of anterior crossbite with skeletal deformities in post-surgery cleft lip and palate among children.
Assessment of nasopharynx area and level of severity posterior crossbite on children with cleft lips and palate post-palatoplasty Apriani, Anie; Primarti, Risti Saptarini; Kasim, Alwin; Oscandar, Fahmi
Padjadjaran Journal of Dentistry Vol 32, No 2 (2020): July 2020
Publisher : Faculty of Dentistry Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/pjd.vol32no2.17951

Abstract

Introduction: Many children with post palatoplasty had crossbite posterior. This study was aimed to assess the nasopharynx area and the posterior crossbite severity level of children with cleft lip and palate (CLP) who received palatoplasty treatment compared to normal children. Methods: The study was observational analytic. The research subject was 14 children with CLP post-palatoplasty and 14 normal children. The object of research was 28 study models and secondary data of lateral cephalometric radiograph of children with CLP post palatoplasty and normal children. The measurement of PTM-ad1-Ad2-PTM and PTM-So-Ba-PTM were used to measure the nasopharyngeal area. Study models were assessed to analyse the level of severity of posterior crossbite. Results: The average of the soft tissues (the nasopharynx) area children with CLP post-palatoplasty was 35.02 mm2, which was lower than the normal child (35.73 mm2). Similarly, the average of the hard tissues (the nasopharynx) area children with CLP post-palatoplasty was 301.40 mm2, which was smaller than the normal children (315.54 mm2). Statistical analysis of the nasopharynx area resulted in non-significant difference. All children with CLP post-palatoplasty was suffered from posterior crossbite. The level of severity posterior crossbite, which was categorised as good was 42.9%, poor criteria was 35.7%, moderate criteria was 14.3%, and very good criteria was 7.1%. Conclusion: There is no difference between the average size of the nasopharynx area on children with CLP post-palatoplasty and normal children. The level of severity posterior crossbite after palatoplasty in CLP children mostly included in the good criteria.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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 - Azhari Adrian Firmansyah Taufik Adzra, Faaiq Ammaria Ajeng Wulandari Alwani, Rania Putri Alwin Kasim Amaliya A., Amaliya Andriani Harsanti, Andriani Anie Apriani, Anie Anna Muryani Annaria Anggi Putri Siagian Azarine Sandi Rizcky Azhari A Azhari Azhari Azhari Azhari Bagas Yufa Ardana Bambang Hidayat Banowati, Aulia Puti Nuraini Belly Sam BIRU, BANYU Biyantini, Nisa Milati Cunningham, Craig A Cynthia Erika Daniel Ade Aryono David Vianza Devy Firena Garna Dewi Zakiawati Dia Adinda Surya Edrea Cioksidy Cioksidy Emi Khoironi, Emi Endang Sukartini, Endang Eriska Riyanti Erli Sarilita Erryna Indah Kurniawati Evirilia, Evirilia Farina Pramanik Fauziyyah Rachmawati Firstady Widyarnan Munandar Fitri Angraini Nasution Fitri Rusydiana Georgiana Marsya, Georgiana Hidayat, Septian Rahmat Hilman Fauzi, Hilman Husnul Himmah Inne Suherna Sasmita Ira Komara Irvie Augustin Kancana, Sildha Pura Khaerunnisa, Rahmadaniah Lucky Riawan Lusi Epsilawati Lutfi Yondri Lutfi Yondri Lutfi Yondri Magdarita Haris Mardhian, Deby Fajar Mentari Pangestu Munandar, Firstady Widyarnan Murnisari Dardjan Murnisari Dardjan, Murnisari Murugaiah, Suganya Mutiara Ulfach Nadya Sindi Safitri Nani Murniati Nugraha, Alhana Nunung Rusminah Nurul Septiyani Syafril Ramadhani, Triane Ayu Redzuan Lee, Mohammad Adib Ria N. Firman Rista D Soetikno Ristaniah R. Effendy Risti Saptarini Primarti Risva Ulva Fauzia Rita Purnamasari Rizkiana Rani Sejahtera Rizqi Shaumi Puspa Ayu Amanda Romadhona, Shabrina Rozano, Randy Rusydiana, Fitri Saputri, Ikra Yuni Sarah Aura Nadienda Sa’idah, Sofia Senjaya, Taufik Setiadi, Desyani Setianingtyas, Prastiwi Shabrina Elha Putri Shabrina Romadhona Shalihah, Desyani Sofia Sa&#039;adiah Soo, Sheng Cheng Sri Susilawati Suhardjo Suhardjo Sitam Suhardjo Sitam, Suhardjo Suhardjo Suhardjo Supian, Sudradjat Surya, Dia Adinda Suryo Adhi Wibowo Tsani, Fajri Whildy A. Rifdah Wibisono, Adrian Wisam Rizqullah Wiwit Ratri Wulandari Wulandari, Felia Resha Yeong, Lee Deng Yoni Fuadah Syukriani Yoni Syukriani, Yoni Yurika A. Lita Yurika Ambar Lita Yuti Malinda Zainul Ahmad Rajion, Zainul Ahmad Zavani Nur Hikmah