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All Journal e-GIGI Dentino: Jurnal Kedokteran Gigi Sinnun Maxillofacial Journal Yarsi Dental Journal
Pertiwisari, Amanah
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Dentistry Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Public Health

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EFFECTIVENESS OF AJWA DATE SEED EXTRACT EFFERVESCENT TABLETS (Phoenix dactylifera L.) AGAINST MICROORGANISMS ON ACRYLIC RESIN Amiruddin, Maqhfirah; Pertiwisari, Amanah; Vebryansyah, Alhady Putra; Nurasisa Lestari, Nurasisa; Sembiring, Ira Asnita
Dentino: Jurnal Kedokteran Gigi Vol 10, No 1 (2025)
Publisher : FKG ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/dentino.v10i1.22210

Abstract

Background: Suboptimal denture cleaning methods present a problem for denture users, leading to the buildup of bacteria and fungi on the denture base. Streptococcus mutans is a bacterium involved in plaque formation, while Candida albicans is the most abundant fungus in the oral cavity. Ajwa date seeds, with a concentration of 3.25%, have been shown to strongly inhibit the growth of both bacteria and fungi. This study utilizes effervescent tablets containing Ajwa date seed extract. Purpose: The aim of this study is to evaluate the effect of immersing effervescent tablets containing Ajwa date seed extract on the growth of Streptococcus mutans and Candida albicans on acrylic resin. Methods: The research employed a True Experimental design with a Post Test Only Control Group. A spectrophotometer was used to measure bacterial and fungal growth, and various concentrations of the extract in effervescent tablet preparations were tested. Alkaline peroxide was used as a positive control, while distilled water served as a negative control. Results: The One-Way ANOVA test showed that the smallest bacterial count was observed in the alkaline peroxide group (0.008) and the 13% extract concentration group (0.011). The largest bacterial count was observed in the distilled water group (0.065). The smallest fungal count was also observed in the alkaline peroxide group (0.022), while the largest fungal count was recorded in the distilled water group (0.210). Conclusion: The One-Way ANOVA test revealed significant differences in the number of bacteria and fungi based on the treatment groups.
Comparison of The Accuracy of Smartimu and Images Applications in Determining The Grade of Bone Loss As Seen On Periapical Radiographs Pertiwisari, Amanah; Selviani, Yusrini; Hasanuddin, Nur Rahmah; Lauddin, Taufan; Anugrah, Audy
YARSI Dental Journal Vol. 3 No. 2 (2026): YARSI DENTAL JOURNAL
Publisher : Lembaga Penelitian Universitas YARSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33476/ydj.v3i2.347

Abstract

Introduction: Periodontal disease is one of the most common oral health problems with significant global prevalence. Periapical radiography is used as the primary tool for diagnosing alveolar bone loss in periodontal disease. In the digital era, software such as smarTimu and ImageJ offer innovative methods for accurately determining the grade of bone loss. Objective: This study aims to compare the accuracy of smarTimu and ImageJ applications in determining the grade of bone loss based on periapical radiograph analysis. Materials and Methods: This study used an analytical observational method with a cross-sectional design with a sample of internship students at the RSIGMP FKG Universitas Muslim Indonesia who met the inclusion criteria. Periapical radiographic data were analyzed using smarTimu and ImageJ. Measurement accuracy was compared with the gold standard. Results: The Mann-Whitney test showed a p-value of 0.000, which is less than 0.05, indicating a significant difference in the measurement grades between the smarTimu and ImageJ applications. Conclusion: There is a comparison of the accuracy of the smarTimu application with ImageJ in determining bone loss grades based on periapical radiographs.
Co-Authors Anas, Risnayanti Andi Tenri Biba Mallombasang Anugrah, Audy Arifin, Nurfadhila Aslan, Sarahfin Bachtiar, Rachmi Bima, Lukman Chusnul Chotimah Hasanuddin, Nur Rahmah Husein, Husnah Ilmianti, Ilmianti Iprab, Ika Hartati Jayadi Abdi, Muhammad Lauddin, Taufan Lestari, Nurasisa Maqhfirah Amiruddin Masriadi, Masriadi Mattalitti, St. Fadhillah Oemar Muliani Ramli, Muliani Ramli Muslihi, Muhammad Takdir Ni Nyoman Ayu Suryandari Nur Fadhilah Arifin Nurasisa Lestari, Nurasisa Pamewa, Kurniaty Puspitasari, Yustisia Putra, Alhady Rahman, Muhammad Akbar Rusyd, Ibnu Safruddin, Miftahuddin Sembiring, Ira Asnita Vebryansyah, Alhady Putra Yusrini Selviani, Yusrini