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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) ODONTO Dental Journal Dental Journal (Majalah Kedokteran Gigi) Journal of Indonesian Dental Association Interdental Jurnal Kedokteran Gigi (IJKG) MDJ (Makassar Dental Journal) Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Indonesian Journal of Dental Medicine Odonto dental journal
Putra, Ramadhan Hardani
Department Of Dentomaxillofacial Radiology, Faculty Of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia, 60132
Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Electrical & Electronics Engineering Energy Health Professions Medicine & Pharmacology Physics Public Health

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Journal : International Journal of Electrical and Computer Engineering

 1 
System of gender identification and age estimation from radiography: a review Nur Nafi’iyah; Chastine Fatichah; Darlis Herumurti; Eha Renwi Astuti; Ramadhan Hardani Putra; Esa Prakasa; Yosi Kristian
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5491-5500

Abstract

Under extreme conditions postmortem, dental radiography examinations can play an essential role in individual identification. In forensic odontology, individual identification traditionally compares antemortem dental records radiographs with those obtained on postmortem examination. As such, these traditional methods are vulnerable to oversights or mistakes in the individual identification of unidentified bodies. Digital technology can develop forensic odontology well. An automatic individual identification system is needed to support the forensic odontology process more easily and quickly because there are still opportunities to be created. We aimed to review the complete range of recent developments in identifying individuals from panoramic radiographs. We study methods in gender identification, age estimation, radiographic segmentation, performance analysis, and promising future directions.
Nonlinear regression analysis to predict mandibular landmarks on panoramic radiographs Nafiiyah, Nur; Hanifah, Ayu Ismi; Susanto, Edy; Astuti, Eha Renwi; Fatichah, Chastine; Putra, Ramadhan Hardani; Akbar, Agus Subhan
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2098-2108

Abstract

An automatic system for determining mandibular landmark points on panoramic radiography can reduce errors due to differences in expert professionalism and save time. Previous research has shown that the linear regression method is ineffective at predicting condyle and gonion landmark points in panoramic radiography. So, this research proposes an analysis of nonlinear regression methods (support vector machine (SVM) kernel=‘polynomial’, polynomial regression, ensemble regression) for predicting condyle and gonion landmark points. There are four predicted landmark points, namely the right condyle, left condyle, right gonion, and left gonion. The nonlinear regression methods used are SVM, polynomial regression, and ensemble regression. The Dental and Oral Hospital, within the Faculty of Dentistry at Universitas Airlangga, provides the research data. The research encompasses 119 patients between the ages of 19 and 70, dividing 103 into training and 16 into testing. The research results show that the SVM method is only good at predicting the right condyle point with a mean radial error (MRE) of 4,724 pixels. Meanwhile, to predict the left condyle, right gonion, and left gonion points, it is better to use the polynomial regression method and ensemble regression with an order of success detection rate (SDR) of 37.5%, 18.75%, and 12.5%, respectively.
Co-Authors Adiningsih, Adiningsih Aga Satria Nurrachman Agus Subhan Akbar, Agus Subhan Alexander Patera Nugraha Alhidayati Asymal Alquira Emalda Hardiva Astrid P Ayu Ismi Hanifah Azifah Shafa Izdihar Bahraini, Fahrisah Nurfadeliah Bosawer, Ellyonord Diana Chastine Fatichah Darlis Herumurti Deny Saputra Dina Karimah Putri Dwi Setianingtyas edy susanto Eha Renwi Astuti Esa Prakasa Fahrisah Nurfadeliah Bahraini Faikoh, Nur Laili Izzatul Farah Tariza Harlens Felicia Eda Haryanto Firdausi, Nurul Layly Fourier Dzar Eljabbar Latief Fourier Dzar Eljabbar Latief I Gusti Aju Wahju Ardani Ida Bagus Narmada Isidora KS Khusnul Rahmawati Lailatul Hikmah Mazlan Lashari, Dur Muhammad Muhammad, Azzamul Khoir Nafi'ah . Nafiiyah, Nur Nastiti Faradilla Ramadhani Neken Prasetyaningtyas Nur Nafi’iyah Paulus Budi Teguh Rasendriya Chandramurti Rini Devijanti Ridwan Silmah, Xanashova Sri Wigati Mardi Mulyani Taufan Bramantoro W, Widyastuti Wahjuni, Otty Ratna Wahyuni Dyah Parmasari, Wahyuni Dyah Wahyuni, Otty Ratna Yosi Kristian Yunita Savitri