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All Journal ODONTO Dental Journal JURNAL CRANKSHAFT Odonto dental journal
Utama, Dharma
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Control & Systems Engineering Energy Engineering Health Professions Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology

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Enhancing Diagnostic Precision: The Role of Specialized Head Coil MRI in Disc Displacement Diagnosis of Temporomandibular Joint Latief, Shofiyah; Murtala, Bachtiar; Thalib, Bahruddin; Muis, Mirna; Ilyas, Muhammad; Ruslin, Muhammad; Utama, Dharma; Bahar, Burhanuddin
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.12.2.208-221

Abstract

Background: This study discusses the use of coil heads in Magnetic Resonance Imaging (MRI) technology to diagnose Temporomandibular Joint Disc Dislocation (TMJ). TMJ disc dislocation is a common condition of the temporomandibular joint that can hurt a person's jaw and make it difficult for them to open their mouth fully. This study sought to assess the effectiveness of MRI with coil heads performed in locating and diagnosing TMJ disc dislocations. Method: Analytic observational with cross-sectional design. A diagnostic test to assess the validity of MRI. Predictor analysis was performed using a multivariate logistic regression test. Result: This study shows disparities in the findings of MRI and RDC tests for detecting temporomandibular joint disc dislocations. Clinical complaints have a strong correlation with disc displacement on MRI and RDC. In the MRI, disc dislocation was significantly correlated with all panoramic examination factors. Only the impaction variable in RDC significantly influences disc dislocation. Asymmetrical condyle position on panoramic inspection and complaints present for more than a year on physical examination indicate disc dislocation. These findings imply that MRI is more effective at identifying displaced temporomandibular joint discs, leading to a more precise diagnosis. Conclusion: The diagnosis of TMJ disc dislocations often involves MRI with coil heads. Medical practitioners can more easily spot disc abnormalities or changes in position thanks to this technology, which offers an accurate and thorough image of the temporomandibular joint's anatomy
Enhancing Diagnostic Precision: The Role of Specialized Head Coil MRI in Disc Displacement Diagnosis of Temporomandibular Joint Latief, Shofiyah; Murtala, Bachtiar; Thalib, Bahruddin; Muis, Mirna; Ilyas, Muhammad; Ruslin, Muhammad; Utama, Dharma; Bahar, Burhanuddin
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.12.2.208-221

Abstract

Background: This study discusses the use of coil heads in Magnetic Resonance Imaging (MRI) technology to diagnose Temporomandibular Joint Disc Dislocation (TMJ). TMJ disc dislocation is a common condition of the temporomandibular joint that can hurt a person's jaw and make it difficult for them to open their mouth fully. This study sought to assess the effectiveness of MRI with coil heads performed in locating and diagnosing TMJ disc dislocations. Method: Analytic observational with cross-sectional design. A diagnostic test to assess the validity of MRI. Predictor analysis was performed using a multivariate logistic regression test. Result: This study shows disparities in the findings of MRI and RDC tests for detecting temporomandibular joint disc dislocations. Clinical complaints have a strong correlation with disc displacement on MRI and RDC. In the MRI, disc dislocation was significantly correlated with all panoramic examination factors. Only the impaction variable in RDC significantly influences disc dislocation. Asymmetrical condyle position on panoramic inspection and complaints present for more than a year on physical examination indicate disc dislocation. These findings imply that MRI is more effective at identifying displaced temporomandibular joint discs, leading to a more precise diagnosis. Conclusion: The diagnosis of TMJ disc dislocations often involves MRI with coil heads. Medical practitioners can more easily spot disc abnormalities or changes in position thanks to this technology, which offers an accurate and thorough image of the temporomandibular joint's anatomy
Metode Real-time Deteksi Gestur Tangan untuk Kendali Robot Menggunakan Teknologi Kinect Xbox Utama, Dharma; Burhanudin, Aan; Mukhtar, Agus
JURNAL CRANKSHAFT Vol 8, No 3 (2025): Jurnal Crankshaft Vol. 8 No. 3 (2025)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v8i3.15671

Abstract

Penelitian ini dilatarbelakangi oleh kebutuhan pengembangan sistem kendali robot yang lebih intuitif dan responsif, khususnya melalui penggunaan interface non-verbal yang berbasis gestur tangan. Teknologi Kinect Xbox menjadi salah satu alat yang potensial dalam hal ini karena kemampuannya menangkap data gerakan secara real-time dengan harga yang relatif terjangkau dan implementasi yang mudah. Tujuan utama penelitian ini adalah mengembangkan metode deteksi gestur tangan berbasis Convolutional Neural Network (CNN) yang mampu melakukan klasifikasi gestur secara akurat dan cepat dalam kondisi nyata, sehingga dapat digunakan sebagai kontrol kendali robot secara efektif.Metodologi yang diterapkan menggunakan pendekatan eksperimen kuantitatif dengan pengumpulan data gerakan tangan. Data tersebut diolah menggunakan arsitektur CNN untuk melatih model klasifikasi gestur. Percobaan dilakukan dengan variasi jarak antara perangkat Kinect dengan subjek, mulai dari 1 meter hingga 4 meter, dalam lingkungan indoor dengan pencahayaan standar. Setiap gestur yang dipilih mewakili perintah kendali robot, seperti maju, mundur, berhenti, dan berputar.Hasil penelitian menunjukkan bahwa metode deteksi gestur ini memberikan performa optimal pada jarak sekitar 2,5 meter dengan tingkat akurasi mencapai 92%. Akurasi ini menunjukkan peningkatan signifikan dibandingkan jarak lainnya, dimana pada jarak terlalu dekat atau terlalu jauh akurasi menurun drastis. Selain itu, sistem dapat mengenali beragam gestur dengan kecepatan proses yang memadai untuk aplikasi real-time, menunjang pengendalian robot secara natural dan responsif. Adapun kelebihan lain dari metode ini adalah kemampuannya untuk beradaptasi dengan variabilitas gerakan tangan antar individu, sehingga menjadikannya solusi praktis dalam interaksi manusia-mesin berbasis gestur.  Kata kunci:  Deteksi Gestur Tangan, Convolutional Neural Network (CNN), Kinect Xbox 
Co-Authors Aan Burhanudin Agus Mukhtar Bachtiar Murtala Bahruddin Thalib Burhanuddin Bahar Latief, Shofiyah Muhammad Ilyas Muhammad Ruslin, Muhammad Muis, Mirna