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All Journal Dentino: Jurnal Kedokteran Gigi Jurnal Kedokteran Gigi Universitas Padjadjaran Padjadjaran Journal of Dentistry Journal of Dentomaxillofacial Science InComTech: Jurnal Telekomunikasi dan Komputer Padjadjaran Journal of Dental Researchers and Students MDJ (Makassar Dental Journal) Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Cakradonya Dental Journal Indonesian Journal of Dentistry Amerta
Farina Pramanik
Bagian Radiologi Kedokteran Gigi Fakultas Kedokteran Gigi Universitas Padjajaran Bandung, Indonesia
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health Social Sciences

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Analysis digital panoramic radiograph about positions root of maxillary posterior teeth with maxillary sinus floor Pertiwi, Aprilia Dian; Noerianingsih Firman, Ria; Pramanik, Farina
Padjadjaran Journal of Dentistry Vol 28, No 3 (2016): November 2016
Publisher : Faculty of Dentistry Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (602.44 KB) | DOI: 10.24198/pjd.vol28no3.13669

Abstract

Introduction: Maxillary sinus floor is a part of the alveolar bone adjacent to the apex of the posterior maxillary teeth that often causes complications in dentistry. Anatomical relationship between the maxillary posterior tooth root and the maxillary sinus floor can be obtained by panoramic radiograph.  The purpose of this study is to analysis digital panoramic radiograph about positions root of maxillary posterior teeth’s with  maxillary sinus floor by age and gender using. Methods: Research method is descriptive with purposive sampling technique. Study population was taken from archives of patient’s digital panoramic radiograph in Radiography Installation from January to March 2016. 88 samples were obtained from 207 digital panoramic radiographs archives. Results: The result showed that type 3 was dominated by P1 (86.8% right, 88.2% left), type 2 is dominated by P2 (24.7% right, 21% left), type 1 is dominated by M2 in the right (31.2%) and M1 in the left (38.1%). Conclusion: This study concludes that overall, the most commonly found was type 3. Based on the age, type 1 majority occurs in age group of above 49 years old; type 2 in age group of 40-49 years old; and type 3 in age group 30-39 years old, 40-49 years old, and above 49 years old. By gender, type 1 and type 2 are more common in males, while type 3 is more common in female.
Differences of temporomandibular joint condyle morphology with and without clicking using digital panoramic radiograph Pramanik, Farina; Firman, Ria Noerianingsih; Sam, Belly
Padjadjaran Journal of Dentistry Vol 28, No 3 (2016): November 2016
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (276.904 KB) | DOI: 10.24198/pjd.vol28no3.13672

Abstract

Introduction: Clicking is the most common clinical symptom in patients with Temporomandibular Disorder (TMD). Lacking attention by either the patient or dentist, many patients were found to have suffered from morphologic alteration of the condyles seen in the panoramic radiograph inadvertently. The purpose of the study was to determine the differences of condyle morphology of the Temporomandibular Joint (TMJ) with and without the existence of clicking by means of digital panoramic radiographs. Methods: This study was based on an analytic descriptive research, whereas subjects are digital panoramic radiographs taken from clicking and non-clicking patients at the Radiology Installation of Dental Hospital Universitas Padjadjaran. 16 samples of each group were chosen in a non-random purposive sampling manner. Results: The research showed the mean of condyle morphology, HOC height  on clicking (6.31 mm) was shorter than the non clicking (7.63 mm), the width of HOC on clicking (10.38 mm) was higher than the non clicking (10.22 mm) and height of the processus condylaris on clicking (19.70 mm) was shorter than non clicking (20.04 mm). Ratio of the high of HOC, width of HOC and high of processus condylaris were 12.13 (clicking), and 12.63 (non-clicking). Conclusion: There was no significant difference between the morphology of the TMJ condyle between clicking and not clicking group, except on high of HOC.
A TALE OF TWO OKC’S : CLINICAL INSIGHTS FROM PEDIATRIC AND ADULT PRESENTATIONS Andini, Putri; Epsilawati, Lusi; Pramanik, Farina; Medika, Chrisna Ardhya
Indonesian Journal of Dentistry Vol 5, No 2 (2025): August 2025
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/ijd.v5i2.18181

Abstract

Background: Odontogenic Keratocyst or OKC is one of the odontogenic cysts of the jaw. Its prevalence is greater in the lower jaw. OKC radiographically appears with unicystic or multicystic lesions. To be able to recognize it in a radiograph is very difficult and sometimes causes difficulties. The most special thing about this lesion is that it has a shallop border, enlarges by walking along the bone and tissue causing resorption of the roots of the involved teeth. Case: there are two cases that have similarities between each other. First case: An 11-year-old girl came to the radiographic installation for a panoramic examination, with swelling in right mandible since 8 months ago. Second case: A 32-year-old woman came to do  a panoramic examination. Patient complaints of swelling in the mucosa of lower mandible since 6 months ago. Both cases were diagnosed as Odontokeratocyst (OKC). Conclusion: OKC basically has a quite different appearance in radiographs. This difference is easily recognized specifically in both cases in children and adults. This difference can be known from the characteristics of the growth type, scallop borders and minimal resorption of the tooth roots. However, OKC has a high recurrence rate. Panoramic radiography is quite capable of showing all the differentiating characteristics needed.
AGE ESTIMATION OF PAWON MEN THROUGH TEETH IDENTIFICATION USING JOHANSON METHOD THROUGH CBCT 3D RADIOGRAPH Elizabeth; Yondri, Lutfi; Pramanik, Farina; Rusminah, Nunung
AMERTA Vol. 36 No. 1 (2018)
Publisher : Penerbit BRIN (BRIN Publishing)

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

Abstract

Abstrak. Estimasi Usia Manusia Pawon melalui Identifikasi Gigi dengan Metode Johanson pada Radiograf CBCT 3D. Manusia Pawon merupakan manusia prasejarah yang ditemukan di Gua Pawon. Di dalamnya, terdapat sisa tulang yang telah rapuh dan gigi yang masih tertanam pada tulang alveolar meskipun telah tertimbun tanah ribuan tahun lamanya. Gigi tersebut kemudian dijadikan sebagai alat identifikasi primer dalam penelitian forensik odontologi. Tujuan penelitian ini adalah untuk mengetahui estimasi usia Manusia Pawon melalui identifikasi gigi menggunakan metode Johanson pada radiograf CBCT 3D. Jenis penelitian yang dilakukan adalah deskriptif. Pengambilan sampel menggunakan purposive sampling. Sampel sebanyak 21 gigi yang tertanam pada tulang alveolar dan tidak terdapat pada garis fraktur. Pengukuran estimasi usia dengan metode Johanson dilakukan dengan perangkat lunak Ez-Implant menggunakan teknik non-invasif CBCT 3D. Hasil penelitian pada Rangka I (R.I) menghasilkan estimasi usia dengan kisaran antara 32,00-33,92 tahun, Rangka III (R.III) dengan estimasi usia 32,94-36,28 tahun, Rangka IV (R.IV) dengan estimasi usia 34,42 tahun, dan Rangka V (R.V) dengan estimasi usia 27,36-31,35 tahun. Simpulan penelitian menunjukkan estimasi usia Manusia Pawon dengan metode Johanson pada radiograf CBCT 3D berkisar antara 27,36-36,28 tahun. Kata Kunci: Manusia Pawon, Estimasi usia, Metode Johanson, Radiografi CBCT 3D, Perangkat lunak ez-implant   Abstract. Pawon men are prehistoric humans who lived in Pawon cave. The skeletons found in the cave consist of remains of brittle bones and teeth which are still attached to alveolar bone even though it had been buried in soil since thousands of years ago. The teeth are then used as primary identification in forensic odontology research. This research’s aim is to compare the existing age estimation of Pawon men with more recent method, namely Johanson method through CBCT 3D Radiograph. Previously, the age estimation was only based on visual observation of posterior molars’ attrition by Brothwell method. This research is a descriptive study using purposive sampling. The samples are 21 teeth that are intact and attached to the alveolar bone without any fracture line. The age estimation with Johanson method using Ez-Implant software is non-invasive age measurement by Cone Beam Computed Tomography 3D radiograph. The results showed that the age of the first Pawon man is 32-33.92 years old, the third Pawon man is 32.935-36.275 years old, the fourth Pawon man is 34.42 years old, and the fifth Pawon man is 27.36-31.35 years old. The second Pawon man is not included in sampling criteria. The measurement using Johanson method through CBCT 3D is more specific and detailed in yielding the age estimation compared to the Brothwell method. Keywords: Pawon men, Age estimation, Johanson method, CBCT 3D radiograph, Ez-implant software
A potential endodontic misdiagnosis: periapical central giant cell granuloma Cahyareni, Firlana; Hanafi, Eva Yulianti; Romdlon, Mahindra Awwaludin; Fauziyah, Erlina; Gustianto, Yudhy; Pramanik, Farina; Sam, Belly; Muryani, Anna
Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Vol 9 No 2 (2025): Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI)
Publisher : Ikatan Radiologi Kedokteran Gigi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32793/jrdi.v9i2.1295

Abstract

Objectives: The purpose of this case study was to report a periapical central giant cell granuloma post-endodontic treatment. Case Report: A 32-year-old female patient presented to the Dental Radiology Unit of Dental Hospital Universitas Padjadjaran with a CBCT referral letter, diagnosed clinically with periapical abscess of tooth 22 post-endodontic treatment. The patient had a history of coming to the emergency room with a fair general condition and complained of pain and swelling of the left upper lip. The CBCT result demonstrated a large radiolucent lesion at the periapical of tooth 22 with a well-defined border that extended to the apical area of tooth 21. There was a cortical destruction on the palatal and labial alveolar bone. Density analysis revealed an average density of 145.2 Grayscale. Conclusion: Lesions might be analysed using both qualitative and quantitative methods with CBCT 3D. These methods lead to the suspicion of periapical central giant cell granuloma in this case's lesion. Keywords: Periapical central giant cell granuloma, endodontic lesion, CBCT 3D
Panoramic radiography as an early screening for eagle syndrome with orofacial pain: a case report Hanafi, Eva Yulianti; Pramanik, Farina; Ramadhan, Fahri Reza
Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Vol 9 No 3 (2025): Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI)
Publisher : Ikatan Radiologi Kedokteran Gigi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32793/jrdi.v9i3.1328

Abstract

Objectives: The purpose of this case report was to report the findings of styloid process morphology in patients with orofacial pain. Case Report: A 39-year-old man came to a private hospital with complaints of a headache near the ear. After taking a panoramic photograph, a change in the size of the styloideus processes was obtained. The styloideus processes were elongated on the right and left sides. The elongated styloid process may be symptomatic in many cases. Examination with panoramic radiographs as support can show this syndrome quite well because it shows the styloideus process bilaterally. The elongated styloideus process seen on the panoramic radiograph can be interpreted as Eagle Syndrome. Conclusion: Elongation of the styloideus process can cause orofacial pain. The image of an elongated processus styloideus can be seen in the results of a panoramic radiograph.
Cone beam computed tomography findings in monostotic fibrous dysplasia of the mandible: a case report Restiti, Rr Dinar; Budhiana, Aries Sugih; Pramanik, Farina
Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Vol 9 No 3 (2025): Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI)
Publisher : Ikatan Radiologi Kedokteran Gigi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32793/jrdi.v9i3.1341

Abstract

Objectives: This case report aims to describe the 3-dimensional radiographic features of Fibrous Dysplasia of the mandible. Case Report: A 38-year-old woman came to Padjadjaran University Dental Hospital with complaints of an enlarged right lower jaw, feeling hot, and a limited mouth opening of ±2cm. The patient was then referred for a CBCT (Cone-Beam Computed Tomography) examination. Conclusion: Based on the examination results, it was concluded that on CBCT (Cone Beam Computed Tomography) radiography, radiolucent lesions, ill-defined, bone-expanding lesions occurred in the facial bones. This case leads to a radiological diagnosis of suspected fibrous dysplasia.
Knowledge level of dentists and dental specialists on the use of dental portable x-ray Faatihah, Amaliya Ummul; Rahasdini, Puri; Ilmayah, Ilmayah; Kurniawan, Septian Bagus; Andaria, Rully Zaidan; Epsilawati, Lusi; Sam, Belly; Pramanik, Farina
Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Vol 9 No 3 (2025): Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI)
Publisher : Ikatan Radiologi Kedokteran Gigi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32793/jrdi.v9i3.1338

Abstract

Objectives: Portable X-ray is one of the mobile radiography equipment. It is made with special technological characteristics. It is designed for diagnostic purposes in areas that are far from health facilities. It is considered easy to use and also beneficial. This study aimed to assess the level of knowledge of general and dental specialists on the use, protection, and benefits of dental portable X-rays. Materials and Methods: The study used a descriptive-analytic method design with a survey technique through a closed questionnaire distributed online to respondents in September 2024. Results: This study netted 169 respondents with the results. For question category 1, 43.7% understood, and categories 2 and 3 were very well understood. Conclusion: The understanding of portable X-ray is in the moderate category, its utilization is classified as very good, and the goal, understanding, and knowledge of radiation protection is good.
Pre-implant assessment of alveolar bone density using dental radiographs and DEXA: a scoping review Pramanik, Farina; Jamaluddin, Rafiqah Rezky Amelia; Inayah, Rifarana; Wulansari, Daisy; Anggraini, Jamas Ari; Sukotjo, Cortino
Padjadjaran Journal of Dental Researchers and Students Vol 9, No 3 (2025): October 2025
Publisher : Fakultas Kedokteran Gigi Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/pjdrs.v9i3.65953

Abstract

ABSTRAKIntroduction: Implant stability is strongly influenced by alveolar bone density, as higher density enhances primary stability and supports long-term osseointegration, making its evaluation a crucial component in presurgical planning. Radiological assessment offers a readily available, non-invasive approach for evaluating bone quality prior to implant placement. Commonly used imaging modalities include periapical, panoramic, and cone-beam computed tomography (CBCT), while dual-energy X-ray absorptiometry (DEXA) remains the gold standard for measuring bone mineral density. This review aims to assess alveolar bone density before dental implant placement using periapical, panoramic, CBCT, and DEXA. Methods: A scoping review was conducted across Science Direct, PubMed, PMC, Semantic Scholar, and Google Scholar using the search terms “Alveolar bone, density, presurgical, dental implant, radiograph”. Inclusion and exclusion criteria were applied to 408 retrieved records, yielding 17 relevant articles for analysis. Results: Multiple radiographic methods and measurement protocols were identified. Of the 17 included studies, 7 utilized CBCT, 2 panoramic, 2 periapical, 3 DEXA, and 3 combined modalities. Findings indicated that the mandibular bone, particularly in the anterior region, generally exhibits higher density than the maxillary sites. Substantial variability was noted in measurement techniques, reference points, and units, including HU, g/cm³, mmAleq, and GV. Conclusion: Radiographic evaluation of alveolar bone density is essential for implant treatment planning. CBCT emerged as the most widely used and informative modality. Studies show that the anterior mandibular region has the highest bone density among other regions, thereby affecting implant stability.KATA KUNCI: alveolar bone density, CBCT, DEXA, panoramic, periapical, radiographPenilaian densitas tulang alveolar sebelum perawatan implant menggunakan radiografi dental dan DEXA: a scoping reviewABSTRACT Pendahuluan: Stabilitas implan sangat dipengaruhi oleh densitas tulang alveolar, dimana densitas tulang yang tinggi akan meningkatkan stabilitas primer implan dan mendukung osseointegrasi, sehingga evaluasi densitas tulang merupakan tahap yang penting sebelum dilakukan pembedahan. Pemeriksaan radiografi untuk evaluasi kualitas tulang merupakan prosedur yang penting dalam perencanaan sebelum pembedahan implan, oleh karena mudah didapatkan dan tidak bersifat invasif. Radiografi periapikal, panoramik dan CBCT merupakan teknik yang paling sering digunakan untuk mengevaluasi kualitas tulang pada perawatan implant. Sedangkan, DEXA merupakan metode gold standard untuk mengukur densitas mineral tulang. Jurnal ini bertujuan untuk menilai densitas tulang sebelum pemasangan implan, menggunakan radiografi periapikal, panoramik, CBCT dan DEXA. Metode: Scoping review ini menggunakan database seperti Science Direct, PubMed, PMC, Semantic Scholar, dan Google Scholar, menggunakan kata kunci: “Alveolar bone, density, presurgical, dental implant, and radiograph”. Pencarian mendapatkan 408 artikel, dan total 17 artikel yang digunakan pada jurnal ini. Hasil: Berbagai pemeriksaan radiografi dapat digunakan untuk mengevaluasi densitas tulang. Dari total 17 artikel, 7 artikel menggunakan CBCT, 2 panoramik, 3 DEXA, dan 3 menggabungkan 2 modalitas. Hasil penelitian menemukan bahwa mandibula, terutama pada anterior, memiliki densitas tulang yang lebih tinggi dibandingkan maksila. Dari berbagai artikel ini juga didapatkan beberapa perbedaan dalam teknik pengukuran, titik referensi, dan satuan (HU, g/cm³, mmAleq, GV). Simpulan: Pemeriksaan radiografi untuk mengukur densitas tulang alveolar merupakan teknik yang penting dalam menentukan rencana perawatan implant, dengan CBCT menjadi modalitas yang paling sering digunakan dan memberikan informasi yang paling banyak. Penelitian menunjukkan regio anterior mandibula memiliki densitas tulang yang paling tinggi di antara regio lainnya, sehingga mempengaruhi stabilitas implanKEYWORDS: densitas tulang alveolar, CBCT, DEXA, panoramik, periapikal, radiografi
Current applications and development of artificial intelligence for osseointegration dental implant analysis: scoping review Arius, Nabila Haditya; Pramanik, Farina; Lita, Yurika Ambar
Padjadjaran Journal of Dental Researchers and Students Vol 9, No 3 (2025): October 2025
Publisher : Fakultas Kedokteran Gigi Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/pjdrs.v9i3.64986

Abstract

ABSTRACTIntroduction: Osseointegration is a key factor in dental implant success, but conventional evaluations such as two dimensional (2D) radiography and histomorphometry are limited by subjectivity and restricted diagnostic capacity. Artificial Intelligence (AI) offers an innovative solution to improve both precision and speed of analysis. This study aims to explore current applications and advancements in AI-based osseointegration analysis of dental implants using radiographs through a scoping review. Methods: A systematic search was conducted in PubMed, Scopus, MEDLINE, Embase, and Web of Science (2014–2024), using the PCC framework (Population: dental implant patients, Concept: AI, Context: clinical). The review followed the Arksey and O’Malley methodological framework and the Joanna Briggs Institute (JBI) guidelines. Results: Of the 11 selected articles (2019-2024), the majority used periapical radiography and CBCT (Cone Beam Computed Tomography) as the primary imaging modalities, with CNN (Convolution Neural Network)-based deep learning models (such as YOLOv7 and ResNet-50) demonstrated strong predictive performance for marginal bone loss (accuracy 70.2-96.13%) and implant stability. Periapical radiographs achieved high accuracy (94.74%) and precision (100%), while CBCT enabled more detailed volumetric analysis with processing speeds of up to 76 ms. However, variability in radiographic parameters and reliance on small datasets (44-2920 images) could lead to model overfitting. Multi-institutional collaboration and standardization of imaging protocols are required to enhance AI performance and generalizability in clinical practice. Conclusion: Deep learning (CNN, YOLOv7) and machine learning (SVM) models have proven effective in osseointegration analysis, particularly in predicting marginal bone loss using periapical radiographs and CBCT. AI has the potential to revolutionize dental implant evaluation, but clinical implementation requires external validation and data standardization.KEY WORDS: artificial intelligence, dental implant, osseointegration, deep learning, radiographic analysisAplikasi dan pengembangan terkini artificial intelligence untuk analisis implan gigi osseointegrasi berbasis radiografi: Scoping ReviewABSTRAKPendahuluan: Osseointegrasi merupakan faktor kunci dalam keberhasilan implan gigi, namun evaluasi konvensional seperti radiografi 2D dan histomorfometri memiliki keterbatasan dalam subjektivitas dan efektivitas. Artificial Intelligence (AI) menawarkan solusi inovatif untuk meningkatkan presisi dan kecepatan analisis. Tujuan penelitian ini untuk menganalisis aplikasi dan pengembangan AI dalam analisis osseointegrasi implan gigi menggunakan radiografi melalui scoping review. Metode: Pencarian sistematis dilakukan di PubMed, Scopus, MEDLINE, Embase, dan Web of Science (2014–2024) dengan kerangka PCC (Population: pasien implan gigi, Concept: AI, Context: klinis) menggunakan framework Arksey dan O’Malley serta panduan dari Joanna Briggs Institute (JBI). Hasil: Dari 11 artikel terpilih (2019–2024), mayoritas menggunakan radiografi periapikal dan CBCT sebagai modalitas utama, dengan model deep learning berbasis CNN (Convolution Neural Network) (seperti YOLOv7 dan ResNet-50) menunjukkan kinerja optimal dalam memprediksi kehilangan tulang marginal (akurasi 70,2–96,13%) dan stabilitas implan. Radiografi periapikal unggul dalam akurasi (94,74%) dan presisi (100%), sementara CBCT (Cone Beam Computed Tomography) menawarkan analisis volumetrik lebih detail dengan kecepatan pemrosesan hingga 76 ms. Meski demikian, variasi parameter radiografi dan ketergantungan pada dataset kecil (44–2920 gambar) berpotensi menyebabkan overfitting. Kolaborasi multi-institusi dan standarisasi teknik radiografi diperlukan untuk meningkatkan kemampuan AI dalam praktik klinis. Simpulan: Model deep learning (CNN, YOLOv7) dan machine learning (SVM) terbukti efektif dalam analisis osseointegrasi, terutama untuk marginal bone loss menggunakan radiografi periapikal dan CBCT. AI berpotensi merevolusi evaluasi implan gigi, namun implementasi klinis memerlukan validasi eksternal dan standardisasi data.KATA KUNCI: artificial intelligence, implan gigi, osseointegrasi, deep learning, analisis radiografi
Co-Authors - Azhari Achmad Mauludin Adawiyah, Jumiatul Aga Satria Nurrachman Agustin, Sylvia Alongsyah Zulkarnaen Ramadhan Alongsyah Zulkarnaen Ramadhan Anak Agung Istri Agung Feranasari Anastasya Natalia Andaria, Rully Zaidan Anggraini, Jamas Ari Anjani, Khamila Gayatri Anna Muryani Annisa Permatahati Annisa Putri Aprilia Dian Pertiwi, Aprilia Dian Arius, Nabila Haditya Azhari Azhari Azhari Azhari Azhari Azhari Azhari Azhari Azhari Azlina Nuur Sanjaya Belly Sam Bilqis Quinta Fitriandari Binar Barlian Budhiana, Aries Sugih Cahyareni, Firlana Chrisna Ardhya Medika Dhiaulhaq, Rifarana Inayah Dwi Putri Wulansari Elizabeth Elizabeth Elizabeth - Elizabeth Elizabeth, Elizabeth - Erna Herawati Faatihah, Amaliya Ummul Fadhlil Ulum Abdul Rahman Fahmi Oscandar Fahmi Oscandar, Fahmi Fahri Reza Ramadhan Farah Fathiyya Fauziyah, Erlina Firas A. Khairinisa Firas A. Khairinisa Fitri Angraini Nasution Galih Rahmadini Ganesha Wandawa Gunawan Gunawan Gustianto, Yudhy Hanafi, Eva Yulianti Ichda Nabiela Amiria Asykarie Ilmayah, Ilmayah Inayah, Rifarana Indra Gunawan Indra Gunawan Irmayanti Meitrieka Amri Irna Sufiawati Istri Dwi Utami Jamaluddin, Rafiqah Rezky Amelia Johan Harlan Kurniawan, Septian Bagus Lailatul Rahmi Lazaro Nehemia Benedict Dilens Linda Wahyu Widianti Lusi Epsilawati Lutfi Yondri Lutfi Yondri Lutfi Yondri Magdalena Napitupulu Mahindra Awwaludin Romdlon Medika, Chrisna Ardhya Meiryndra Syaira Putri Merry Annisa Meyta R. Gwen Mirna Febriani Muchlis, Muhammad Rakhmat Ersyad Munasyifa, Tazkia Ni Wayan Nanda Prasanthi Nisa Nur Fathmi Nova Rosdiana Nunung Rusminah Pamungkas, Aries Sugih Budhiana Pei C. Ling Putri Andini, Putri Rachmawati, Ika Rahasdini, Puri Rahmi Alma Farah Adang Ramadhan, Fahri Reza Ramzy Ramadhan Ratih Trikusumadewi Lubis Ratna Indriyanti Rellyca Sola Gracea Reni Indah Yolanti Restiti, Rr Dinar Ria N. Firman Ria N. Firman Ria N. Firman Ria N. Firman Ria N.Firman Ria Noerianingsih Firman, Ria Noerianingsih Rima Fidayani Rizki Salsabila Afnia Sarifah, Norlaila Sarifuddin Madenda Shely Levita Asmarani Silmina Rukmana Siska Damayanti Saifuddin Suhardjo Sitam Sukmadewi, Putri Marina Sukotjo, Cortino Sunny Arief Sudiro Wulansari, Daisy Yurika A. Lita Yurika Ambar Lita