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All Journal Jurnal Pengabdian UNDIKMA Indonesian Journal of Dentistry
Ika Rachmawati
Universitas Muhammadiyah Semarang
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Deteksi Dini Karies Gigi sebagai Upaya Pencegahan Penyakit Gigi dan Mulut pada Siswa Diaspora di Sekolah Indonesia Jeddah dan Mekkah, Arab Saudi Hayyu Failasufa; Nur Khamilatusy Sholekhah; Megawati Prajarini; Risyandi Anwar; Ika Rachmawati; Gelar Subhakti Ramdhani; Putri Dhianita Pratiwi; Muhammad Destyatosa Irfani
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.19482

Abstract

This community service activity aims to conduct early detection of oral health problems through simple preliminary examinations using clinical instruments, while improving students’ knowledge through oral health education as an effort to prevent dental and oral diseases. The program involved 110 students from the Indonesian Schools in Jeddah and Mecca. The activity was implemented using a health empowerment approach, with dental and oral examinations conducted using the Oral Health Surveys: Basic Methods issued by the World Health Organization (WHO). The collected data were analyzed based on frequencies and percentages. The screening results showed a high prevalence of dental caries, with 51.8% of students having a DMF-T score > 0. The 10–12-year age group accounted for the highest proportion of caries cases at 73.6%. The most commonly required treatment recommendation was dental fillings, representing 38.2% of cases. The high prevalence of caries among diaspora students highlights the importance of sustainable early detection programs and oral health education. This intervention is expected to foster good oral hygiene habits from an early age in order to prevent more severe dental diseases in the future.
COMPARISON OF STAINER CEPHALOMETRIC ANALYSIS BETWEEN CONVENTIONAL AND DIGITAL METHODS USING WEBCEPH Dimar Pangestika Sari; Ika Rachmawati
Indonesian Journal of Dentistry Vol 5, No 1 (2025): February 2025
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/ijd.v5i1.17130

Abstract

Background: Cephalometric analysis plays a critical role in orthodontic diagnosis and treatment planning. The identification of anatomical landmarks from lateral cephalograms is crucial for assessing skeletal and dental relationships. Traditionally, cephalometric analysis is performed manually by orthodontists, which is time-consuming and susceptible to inter-observer variability. The integration of artificial intelligence (AI) in cephalometry has the potential to improve diagnostic efficiency and reduce errors. WEBCEPH is an AI-based cephalometric analysis software that automatically detects cephalometric landmarks, allowing for more accurate and efficient analysis compared to traditional manual methods. This study aims to assess the accuracy of AI-based cephalometric analysis using WEBCEPH compared to conventional cephalometric measurement.Method: This study analyzed 30 lateral cephalometric radiographs with good quality and no dental or craniofacial deformities. Each cephalogram was analyzed using both conventional and digital methods. The Stainer cephalometric skeletal, dental, and soft tissue analyses from both methods were compared using independent t-tests and Mann-whitney.Outcome: The statistical results indicate that there was no significant difference between conventional and digital methods for all Steiner cephalometric analysis. The WEBCEPH software demonstrated good agreement with conventional methods in cephalometric analysis.Conclusion: AI-based cephalometric analysis using WEBCEPH provides comparable accuracy to conventional methods, offering a reliable and efficient alternative for orthodontic diagnosis.
Co-Authors Dimar Pangestika Sari Failasufa, Hayyu Gelar Subhakti Ramdhani Megawati Prajarini Muhammad Destyatosa Irfani Putri Dhianita Pratiwi Risyandi Anwar Sholekhah, Nur Khamilatusy