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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Pendidikan Fisika Undiksha English Review: Journal of English Education KARSA: Jurnal Sosial dan Budaya Keislaman (Journal of Social and Islamic Culture) Al-Ahwal: Jurnal Hukum Keluarga Islam Jurnal Deformasi Sosioreligius: Jurnal Ilmiah Sosiologi Agama Jurnal Pengabdian UntukMu NegeRI Sosial Horizon: Jurnal Pendidikan Sosial Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Rancang Bangun Studia Religia: Jurnal Pemikiran dan Pendidikan Islam Jurnal At-Tibyan: Jurnal Ilmu Alqur’an dan Tafsir Jurnal Keperawatan Muhammadiyah Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JOURNAL EQUITABLE International Journal of Elementary Education JUMANJI (JURNAL MANAJEMEN JAMBI) Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis Psikoislamedia : Jurnal Psikologi MIMBAR : Jurnal Penelitian Sosial Dan Politik PERSPEKTIF Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika MDJ (Makassar Dental Journal) ADHKI: Journal of Islamic Family Law International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Didaktik : Jurnal Ilmiah PGSD STKIP Subang Medium : Jurnal Ilmiah Fakultas Ilmu Komunikasi Journal Informatic, Education and Management (JIEM) Al Marhalah Journal Zetroem Yustisi: Jurnal Hukum dan Hukum Islam Koordinat : Jurnal Pembelajaran Matematika dan Sains Indian Journal of Forensic Medicine & Toxicology JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Math-UMB.EDU Inspirasi Ekonomi : Jurnal Ekonomi Manajemen International Journal of Economics, Management, Business, and Social Science International Journal of Health, Economics, and Social Sciences (IJHESS) JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Patikala TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Al-Ubudiyah: Jurnal Pendidikan dan Studi Islam Humantech : Jurnal Ilmiah Multidisiplin Indonesia BASHAIR Jurnal Komputer, Informasi dan Teknologi Almufi Jurnal Pengabdian kepada Masyarakat Nurse and Holistic Care MACHINERY: Jurnal Teknologi Terapan Jurnal Ilmiah Bakti Farmasi Al-MIKRAJ: Jurnal studi Islam dan Humaniora Business Perspective Journal Warmadewa Minesterium Medical Journal HEUTAGOGIA: Journal of Islamic Education Jurnal Sains Informatika Terapan (JSIT) Ahmad Dahlan Medical Journal Pedagogik : Jurnal Pendidikan Guru Sekolah Dasar International Journal of Education and Teaching Zone Edu Research : Jurnal Penelitian Pendidikan Al Lughawiyaat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Literasi: Jurnal Pendidikan Guru Indonesia Journal of Geology and Exploration Hexagon JISPE Journal of Islamic Primary Education International Journal of Advanced Science Computing and Engineering QANUN: Journal of Islamic Laws and Studies Jurnal Katalisator Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Jurnal Komunikasi dan Kebudayaan Gudang Jurnal Multidisiplin Ilmu Jurnal Pengabdian Bangsa JRIIN :Jurnal Riset Informatika dan Inovasi Ekasakti Journal of law and Justice ISCO Jurnal Pengabdian Masyarakat dan Riset Pendidikan BATOBO: Jurnal Pengabdian Kepada Masyarakat MADIKA: Jurnal Politik dan Governance Jurnal Sosial Ekonomi Perikanan MERDEKA: Jurnal Ilmiah Multidisiplin Jurnal Al-Mubarak: Jurnal Kajian Al-Qur'an dan Tafsir Journal of Progressive Information, Security, Computer and Embedded System Jurnal Teknik dan teknologi tepat guna Jurnal Pengabdian Masyarakat Bangsa AL-ABSHOR : Jurnal Pendidikan Agama Islam The Indonesian Journal of Computer Science Majalah Pengabdian Indonesia Jurnal Manajemen Bisnis dan Keuangan JCSE: Journal of Community Service and Empowerment Macca: Science-Edu Journal TARBIYAH: Jurnal Pendidikan Agama Islam Journal Information Technology Trends JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Emitor: Jurnal Teknik Elektro LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Journal of Computers, Informatics, and Vocational Education Jurnal Riset Multidisiplin Edukasi AT-TAKLIM: Jurnal Pendidikan Multidisiplin Journal of Engineering Science and Technology Applications Journal of Biotropical Research and Nature Technology Jurnal Pgmi Uniga Aksi Kita: Jurnal Pengabdian Kepada Masyarakat UPEJ : Unnes Physics Education Journal JURNAL PENDIDIKAN DAN KEBUDAYAAN MISSIO Journal of Primary Education Innovation and Research INTENS Jurnal Inovasi Sains Teknologi dan Bisnis Cognitia : International Engineering Journal
Firdaus
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Journal : ComEngApp : Computer Engineering and Applications Journal

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Identification of Indonesian Authors Using Deep Neural Networks Firdaus; Fahreza, Irvan; Nurmaini, Siti; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Rachmatullah, Muhammad Naufal; Lestari, Suci Dwi; Fachrurrozi, Muhammad; Afrina, Mira; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Forecasting Of Intensive Care Unit Patient Heart Rate Using Long Short-Term Memory Firdaus; Fachrurrozi, Muhammad; Nurmaini, Siti; Tutuko, Bambang; Rachmatullah, Muhammad Naufal; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Maharani, Masayu Nadila; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 3 (2023)
Publisher : Universitas Sriwijaya

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Cardiac arrest remains a critical concern in Intensive Care Units (ICUs), with alarmingly low survival rates. Early prediction of cardiac arrest is challenging due to the complexity of patient data and the temporal nature of ICU care. To address this challenge, we explore the use of Deep Learning (DL) models, specifically Long ShortTerm Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU), for forecasting ICU patient heart rates. We utilize a dataset extracted from the MIMIC III database, which poses the typical challenges of irregular time series data and missing values. Our research encompasses a comprehensive methodology, including data preprocessing, model development, and performance evaluation. Data preprocessing involves regularizing and imputing missing values, as well as data normalization. The dataset is partitioned into training, testing, and validation sets to facilitate model training and evaluation. Fine-tuning of hyperparameters is conducted to optimize each DL architecture's performance. Our results reveal that the GRU architecture consistently outperforms LSTM and BiLSTM in predicting heart rates, achieving the lowest RMSE and MAE values. The findings underscore the potential of DL models, particularly GRU, in enhancing the early detection of cardiac events in ICU patients.
TeleOTIVA: Advanced AI-Powered Automated Screening System for Early Detection of Precancerous Lesions Rachmatullah, Muhammad Naufal; Nurmaini, Siti; Agustiansyah, Patiyus; Sastradinata, Irawan; Arum, Akhiar Wista; Firdaus; Darmawahyuni, Annisa; Tutuko, Bambang; Sapitri, Ade Iriani; Islami, Anggun
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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In 2023, the Indonesian Ministry of Health launched the Rencana Aksi Nasional (RAN) to enhance the detection and management of cervical cancer in Indonesia. One of the main pillars in this movement is the implementation of early screening for precancerous lesions aimed at identifying and treating these lesions before they develop into cervical cancer. This effort includes improving public access to healthcare services, providing education and awareness about the importance of early detection, and utilizing the latest technology in screening procedures. It is hoped that, through these targeted and effective interventions, the incidence of cervical cancer can be significantly reduced. This research aims to facilitate the early detection screening process for cervical precancerous lesions, particularly in difficult areas for medical experts to reach. This study also seeks to assist obstetricians and gynecologists in detecting precancerous lesions automatically, quickly, and accurately. By developing an advanced technology-based screening system, it is hoped that early detection of precancerous lesions can be carried out more efficiently, thereby increasing the chances of timely treatment and reducing the incidence of cervical cancer across various regions in Indonesia. This system is designed to provide reliable and user-friendly diagnostic support as it is developed on a mobile platform that can be accessed anytime and anywhere. This research developed a system for early screening called TeleOTIVA. The TeleOTIVA application system is an advanced platform that uses artificial intelligence (AI) based approaches to provide optimal services in early detection of precancerous lesions. This application is designed for mobile, allowing users to access and use its advanced features anytime and anywhere. With the integration of AI technology, TeleOTIVA can detect and analyze cervical precancerous lesions accurately and quickly to provide accurate and efficient screening results. The TeleOTIVA application system is capable of providing satisfactory detection results. The performance of the proposed model achieves accuracy, sensitivity, and specificity levels above 90%. With this high performance, TeleOTIVA ensures that the detection of precancerous lesions is carried out with high reliability and precision, instilling greater confidence in healthcare professionals and users during the screening and diagnosis process. The implementation of our application model offers numerous advantages over traditional methods. It significantly enhances efficiency by automating processes, reduces human error through rigorous error-checking mechanisms, and accelerates the processing of large datasets. These improvements streamline operations and ensure more reliable and rapid data analysis.
Analyzing Co-Authorship Networks in Indonesian PTN-BH Institution Through Social Network Analysis Firdaus; Nurmaini, Siti; Kurniawan, Anggy Tias; Darmawahyuni, Annisa; Rachmatullah, Muhammad Naufal; Raflesia, Sarifah Putri; Lestarini, Dinda
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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Abstract

This study involved an examination of bibliographic information from Indonesia. Our approach centered on utilizing social network analysis to explore the co-authorship relationships among Indonesian authors, focused on the co-authorship network within the context of authors affiliated with Indonesian state universities known as "PTN-BH," which specialize in higher education and legal studies. To conduct our analysis, we gathered publication data from the Scopus database, spanning a time frame from 1948 to 2020. The primary methodology entailed constructing a graph composed of nodes and edges, representing the co-authorship connections among these authors. By employing the Louvain method, we were able to identify prominent communities within this graph. We carried out a comprehensive analysis at both macro and micro levels, involving measurement techniques tailored to these perspectives. Through this approach, we revealed and examined the collaboration patterns among authors associated with PTN-BH institutions, as illuminated by the co-authorship network analysis.
Exploration U-Net Architecture for Cervical Precancerous Lesions Segmentation Arum, Akhiar Wista; Rachmatullah, Muhammad Naufal; Tutuko, Bambang; Firdaus; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Ananda, Dea Agustria
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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The automatic analysis of images for the early detection of cervical cancer relies on the segmentation of cervical precancerous lesions. This paper investigates the incorporation of various CNN-based backbones into a U-Net model for improved segmentation accuracy. A set of twelve backbones was tested, including VGG16, VGG19, ResNet50, ResNext50, EfficientNetB7, InceptionResNetv2, DenseNet201, InceptionV3, MobileNet V2, SE-ResNet50, SE-ResNext50, and SE-Net154. Evaluation metrics were computed using Intersection over Union, pixel accuracy, and Dice coefficient. The findings demonstrate that U-Net with EfficientNetB7 backbone outperforms all other models with an IoU of 73.13%, pixel accuracy of 89.92%, and a Dice coefficient of 77.64%. These results were visually confirmed; segmentation outputs were examined, showing accurate delineation of lesion borders. The dominating performance of EfficientNetB7 was observed to be due to high feature extraction efficiency coupled with powerful spatial information representation. The study is, however, limited by a lack of clinical validation and expert evaluation from trained medical personnel. The results demonstrate the effectiveness of combining the U-Net architecture with advanced CNN backbones towards designing automated systems to analyze medical images.
Deep Learning for ECG-Based Arrhythmia Classification Based on Time-Domain Features Sari, Ririn Purnama; Darmawahyuni, Annisa; Tutuko, Bambang; Firdaus; Rachmatullah, Muhammad Naufal; Sapitri, Ade Iriani; Islami, Anggun; Arum, Akhiar Wista
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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Arrhythmia is a disturbance in the electrical activity of the heart that can affect the rhythm and duration of the heartbeat. Early detection of arrhythmia is crucial to prevent more serious complications. Electrocardiogram (ECG) is an effective non-invasive diagnostic tool in detecting arrhythmia, but manual detection by experts takes time. To overcome this limitation, this research develops an arrhythmia classification system by utilizing deep learning. This study involves a series of stages, starting from pre-processing, feature extraction, and arrhythmia classification models using convolutional neural networks (CNN) and long short-term memory (LSTM). The results showed that feature extraction successfully improved model efficiency and accuracy. Evaluation of model performance using accuracy, recall, precision, specificity, and F1-score metrics showed that the LSTM model achieved 95% accuracy, 96% recall, 96% precision, 99% specificity, and 96% F1-score, outperforming the CNN model which achieved 91% accuracy, 90% recall, 89% precision, 98% specificity, and 89% F1-score. Thus, these results indicate that the LSTM model is superior in arrhythmia classification.
Co-Authors , Abdul Gafar Karim -, Teguh Sujana A. Syachruroji AA Sudharmawan, AA Abd Kadir, Abd Abdi Suprayitno Abdul Gafar Karim Abdul Gafara Karim Abdul Haris Sunubi Abiyyu Caesar Bimoseno Abu Bakar Abubakar, Achmad Achmad Yarziq Mubarak Ade Hidayat, Ade Ade saputra Ade Saputra adhit syach fiqri Adyatma Ramadhani Afrida Agnes Triana Pamassangan Agus Firmansyah Agus Munandar, Agus Agusman, Yudi Agustiani, Dian Putri Ahmad Fauzul Mubin Ahmad Julio Saputra Ahmad Lahmi Ahmad Mujahid Aisyah Akbar, Rizky Akhyar Al Imran Alam Budiman Thamsi Aldi Suryadi Aldy Surya Darma Alexsander Alfalah Alfalisyado Ali Muchammad Aliana, Cut Rizka Aliyah Sayyidina Putri Bahtiar Alvin Arinanda Ambo Dalle Amir Hamzah Amir Hamzah Amiruddin Ammase. S Ananda, Dea Agustria Ananda, Fariz Anasrul Andi Fahdli Heriansyah Andi Khaerun Nisa Andi Muhammad Ridwan Andi Zulfikar Darussalam Andry Halim ANISAH Anjani, Dito Fatria Annisa Efidiawati Anshari, Erwin Anto Apriyanto Anwar, Ardian Aprilino Alfa Kurmasela Apriwandi Arafat Ardiansyah, Diky Arif Nurwaskito Arifin, Mubdiana Arifki Budia Warman Arni Sasmitasari Arqam Arrachman Arum, Akhiar Wista Asih Vivi Yandari, Indhira Aslam, Beni Asriadi Astiantih, Susi Atik Rahayu Aulia Miranti Larasathi Awaliah Nafiu, Wd Rizky Awaluddin Muin Ayu, Friska Azharuddin Bakri, Suriyanto Bambang Tutuko Banta Diman Bastam, Mukhlis Nahriri Bayu Wijaya Putra Bhima Nareshwara , Adhitya Billy Hendrik Bisma Putra Pratama Bony Pramono Budhi Anto Budiman Sakti Chalik, Citra Aulian Daffa Wahid Sya'bani Dahliyusmanto, Dahliyusmanto Darmawahyuni, Annisa Darmiyati, Iin Della Endangtri Deni Aryati Deniyatno Deny Fatrianto Edyzoh Eko Widodo Deny Fatryanto Desminar Dessy Ana Sari Desty Vitrya Halim Dharma, Robby Dimas Bagus Susanto Dimas Satrio Wijaksono Dinda Lestarini Dinul Akhiyar Dodi Setiawan Riatmaja doni doni Dony Hutabarat Dwi Andhara Valkyrie Dwi Angesti Putri , Refly Edi Wanda Edi Winarno Edi Winarno, Edi Eka Damayanti Eka Ganda Winata , I Putu Eka Megawati Ekawati, Rizka Elda Nazriati Elfira Makmur Elimartati Elimartati Elma Rida Yanti Erika Maulina Ervia Toga Erwandi Mohamad Haron, Didi Ery Safrianti Fadila Haerunnisa, Nurul Fadilla Malik, Topan Fadlan Hawari Fachrully Fahreza, Irvan Fathiyah Idris Fatma Fausiah Latif Fazilatunnisa, Azwa Felycitae Ekalaya Appa Firman FITRIANTI Fri Murdiya, Fri Fuadi, Mhd Yusral Gemala Jondya, Aisha Genius Umar GHANY, ABDUL Guslendra Habas Addawy, Rauzan Hadaming, Hamdana Hafid, Fathurrahman Hafizh Idri Purbajati Hamdani, Eddy Hamriyani Ryka Hamzah, Ekawati Harianto, Jakoep Ezra Harifuddin Haripuddin Harmiati Hasrawati Hati, Hikmah Havidz Cahya Pratama Hayat, Misbahul Heldy Febryanto Herawati, Asmida Heris Santy, Wesiana Hermawan Hermawan Hidayat , Syukriadi Hilda Ashari Hilda Delavari HS, Muhammad Alwi Ida Fujari Ifada, M.Zakian Ilham Eka Putra Imam Fakhruddin Imam Suri Tauladan Imran, Andi Imran Indriyanti Ipan Sampe Irfan Wahyu Ramadhan Iriana Bakti Irma Puspitasari, Irma IRMAN PUTRA Irmawan, Muhammad Iskandar Abdul Samad Islami, Anggun Iswani, Resti Jaffar, Mohammad Najib Jahrizal Jalil, Feranita Jamaludin, Muhamad Jan Friadi Sinaga Joko Wiyono Jumadi Mabe Parenreng Jumria Kalalinggi, Septaria Yolan Karnila Willard Kartika Choriah Kasmidin Kunaenih Kurniawan, Anggy Tias La Ode Asrun Azis R Laili Tri Lestari Lanang Maulana Aminullah Leonardo Valinka Lilik Pranata Lusiana, Herlina Luthfiyah Atisa Fadhilah Lu’lu’ Il Qolbie M A Jati Purnomo M Subagus M. Halim, M. M. Haris M. Nur Mukmin M., Taufik M.Yoghi Satria Maharani, Masayu Nadila Malik, Muhammad Hisyam Mappeasse, Muhammad Yusuf Mardhiah Masril Marfalino, Hari Marhadi Efendi Maulana, Tarmizi Mayangsari, Yayu Rahmawati Mayhilda Nitami Mery Susantri Mery Susantri Meydy Fauziridwan Mhd. Hanafi Michelle Rafael Waw Mila Wati Milaningrum, Kartika Mileni Wahidah Mili, Marwan Zam Mira Afrina Mirwan Mochamad Yogi Febriansyah Mochammad Imron Awalludin Mohammad Lutfi Mohammad Munib Rosadi Mohammad Syaifuddin Mokoginta, Dzakira Raihana Mufti Hasan Alfani Muh. Yunus Ali Muh. Yusuf Mappeasse Muhamad Anggun Novembra Muhammad Arfan Wijaya, S Muhammad Arif Muhammad Fachrurrozi Muhammad Naufal Rachmatullah Muhammad Syahdan Fachrurrozy Muhammad Syukri Muhammad Taufiq Muhammad Vijaya Waluddin Mujahidah MUKAROMAH, LUTFAH Mulia Akbar Santoso Muliaty Amin Mulyadin Mulyati, Ely Munip, Al Muntako, Ahmad Muntohar Murdifin Mursal Mursanto Musda Asmara Musdalifah Mustafa, Fahrina MUSYAFFA RIFQI HARIMARDIKA Mutakarikah Mutiara Rengganis Muzaka, Maimun Nabil Alfan Moh Nabila Adhelia Maulidha Nadia Nadiah Nahya Fadillah Nasokah Nasriman Nasrul Nazmi, Annisa Nur Nijusiho Manik Ningsih, Apriyana Nisfe Jehan Apriani Niti Lestari Noer Farakhin Nofriadiman Nofrohu Retongga Noor Aziz, Noor Nunuk Hariani Soekamto Nununk Febryanti Nur Ainiyah Nur Ainiyah Nur Azizah Nurdiana A Nurhawaisyah, Sitti Ratmi Nurhayani Nurliah Jafar, Nurliah Nurlindah Nurul Hasanah Nurul Hidayati Oman Sukmana Onu La Ola, Onu Pamungkas Stiya Mulyani Pardede, Tumpal Parninsih, Iin Patiung, Seventry Meliana PATIYUS AGUSTIANSYAH, PATIYUS Perani Rosyani Piliana, Wa Ode Pratama Bagus Restu.S Pratama, Amia Pratama, Apriliyanus Rakhmadi Pratiwi, Tasyah Purboyo, Purboyo Putra Dempo, Agung Anugra Putri Dhiya Putri Faisal, Sri Afriani Putri Wijaya, Nurhikmah Putri, Dini Firdiana Putri, Rahmadaniar Aditya rachmawati, Ramya Radi Ahnaf Prayogi Rahim, Radiyan Rahmadaniar Rahmat Hidayat Rahmat Oriza Rahmi , Riri Rahmi, Riri Ramadhan, Ilfan Prabu Ramiati Rauzan Habas Addawy Rayna Kartika, Rayna Retna Gumilang Retno Diah Putri Ekayanti Reynaldy Julio Ricy Firnando Rikki Vitria Rina Novi Yani Rini Sovia Riska Fauziah Hayati Risna Ritna Wahyuni Riza Aprillia Rizkiani, Erdina Wira Rohima Sera Afifah Rosmawati RR. Ella Evrita Hestiandari rudiyanto Ruri Hartika Zain Ruslan Sa'idah, Nur saadudin Sabir, Achmad Safitriani, Ayu Safrina, Eka Sagaf S. Pettalongi Sahri Ramadana Sakinah Samintang Santi Sapitri, Ade Iriani Saputra Yadnya , Komang Saputra, Billy Yanis Saputra, Haris Tri Saputra, Ksatria Saputri, Bella Sari, Ririn Purnama Sarifah Putri Raflesia, Sarifah Putri Sarti Rahayu Sastradinata, Irawan Sattu Alang Septiana, Zulfa Septri Damayanti Setya Nugroho , Florantia Siar Nimah Sintia Putri Pangestu Siska Yosmar Siti Dewi Maharani Siti Justianti Muhajriyah Siti Nurmaini Sitti Jauhar Sitti Rahmi Soleha, Umdatus Soraya Sri Konsep Harum Wicaksono Sri Wahyuni Sriyanto Stepanus Sahala Sitompul Stepanus Sahala Sitompuls Suci Dwi Lestari Sukari Sukemi Sukma Wahyuni , Elvira Sulardi . sultan Supriyadi, Andi Surmayanti Surya, Leny Sang Suyanto Syaflin Halim Syahidan, A.Laela Syamsul Rijal Syamsurijal Syamsurizal Taufiqurrahman Tengku Mega Rahmadini Tikson, Shinta Dewi Sugiharti Topan Fadilla Malik Trian Pamungkas Alamsyah, Trian Pamungkas Tsaqilatussyifa, Sabrina TW, Fredy Rendra Uliana, Rafika Umar Uzhelia, Viorryn Aisha Uzma Septima Vina Salviana Darvina Soedarwo Wahab Wahda Wahyudi, Andi Ardhila Wahyuni, Wiani Wakila, Muhammad Hardin Wawan Darmawan Widiningsih , Dewi Widya Puspita Sari Windy Permata Suyono Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wiraagni, Idha Arfianti Wisnu, Fredy Rendra Taursia Yantahin, Muliaty Yudhistira Pradhipta Aryoko Yudiaryono Yudistira, Jastin Yulia, Della Pevita Yulis Hamidy Yunisrina Q. Yusuf Yuri Pratiwi Utami Zainol Hasan Zein, Ruri Hartika Zerri Rahman Hakim Zulfikar Jayakusuma Zulhajji Zulharman