Article Per Year (5 Year)
p-Index From 2021 - 2026
9.402
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Jurnal sistem informasi, Teknologi informasi dan komputer SITEKIN: Jurnal Sains, Teknologi dan Industri Prosiding Semnastek Jurnal Ilmiah FIFO IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Pengabdian Masyarakat AbdiMas JURNAL PENDIDIKAN TAMBUSAI Jurnal Ners JISA (Jurnal Informatika dan Sains) Jurnal Pengabdian Masyarakat Teknik Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Society: Jurnal Pengabdian Masyarakat INFORMATIKA Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian Masyarakat Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat Jurnal Medika: Medika ABDINE :Jurnal Pengabdian Masyarakat
Rully Mujiastuti
Universitas Muhammadiyah Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 88 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 88 Documents
Search

 3   4   5   6   7 
Step Into a New Dimension of the Android App Development World for Beginners Azima, Fauzan; Memanda, Freddy; Habibie, Muhammad Fadhil; Qardhawi, Nadif Yusuf; Gimnastiar, Nazar; Mujiastuti, Rully; Sutrisno, Mirza; Meilina, Popy; Nurbaya Ambo, Sitti; Adharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.526

Abstract

Technological developments in the field of mobile applications have opened up many opportunities in various sectors. However, beginners often face obstacles due to a lack of basic knowledge about Android app development, so it is important for them to get a comprehensive and easy-to-understand education. In this context, the author and team organised an event titled “Step Into A New Dimension Of The Android App Development World For Beginners” with the aim of introducing the basics of Android app development to beginners with a structured approach. The programme was implemented through Webinars and Workshops, which included exposure to basic concepts to hands-on practice in creating simple applications. The evaluation results showed a positive response from 62 participants who came from various backgrounds, with 68% expressing satisfaction and 32% very satisfied with the implementation of this activity. In addition, the Pre-Test and Post-Test results showed an increase in participants' understanding of Android application development. This activity succeeded in providing a strong foundation for beginners to enter the world of Android application development.
Getting Started with Machine Learning in Game Development Hakim, Taufiq Rahman; Muhammad Zaki, Dimas Aufa; Utami, Mirsanda Amelia; Syahri, Nur Alfi; Ardika, Sadin Yusuf; Risanty, Rita Dewi; Mujiastuti, Rully; Meilina, Popy; Amri, Nurul; Nurbaya, Sitti; Ardharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.539

Abstract

The The webinar and workshop titled "Getting Started with Machine Learning in Game Development", held on January 18, 2025, aimed to deliver foundational knowledge on Machine Learning (ML), with a specialized focus on Reinforcement Learning (RL) and its applications in game development, featuring two main sessions: a public webinar for theoretical education and a hands-on technical workshop. The webinar introduced core ML concepts, including Supervised Learning, Unsupervised Learning, and Reinforcement Learning, while the workshop emphasized the practical implementation of RL using Unity ML-Agents, PyTorch, Anaconda, and the C# programming language, attracting 45–56 participants from diverse institutions and highlighting significant interest in ML applications within the creative industry, particularly game development. Pre-test results (administered prior to the sessions) yielded an average score of 64.68 and a median of 60, while post-test scores (conducted after the sessions) showed marked improvement, with an average of 81.22 and a median of 90, and participant feedback was overwhelmingly positive, with attendees expressing satisfaction regarding the quality of content, expertise of speakers, and overall event organization, underscoring the effective reception of Machine Learning education and its potential to enhance skill development across sectors, including the creative and technology industries.Webinar dan Workshop "Getting Started with Machine Learning in Game Development", yang diselenggarakan pada 18 Januari 2025, bertujuan memberikan pengetahuan dasar tentang Machine Learning (ML) dengan fokus khusus pada Reinforcement Learning (RL) dan penerapannya dalam pengembangan game. Acara terdiri dari dua sesi utama: edukasi publik melalui webinar dan pelatihan teknis melalui Workshop. Webinar membahas dasar-dasar Machine Learning, Supervised Learning, Unsupervised Learning, dan Reinforcement Learning, sementara Workshop berfokus pada penerapan RL menggunakan Unity ML-Agents, PyTorch, dan Anaconda dengan bahasa pemrograman C#. Acara ini berhasil menarik 45–56 peserta dari berbagai institusi, menunjukkan minat besar terhadap penerapan Machine Learning di industri kreatif, khususnya pengembangan game. Hasil dari Pre-test yang di mana peserta mengerjakan tes tersebut sebelum pemaparan materi memiliki nilai rata rata sebanyak 64,68 poin dan median sebanyak 60 poin, sedangkan di Post-Test, yang di mana peserta mengerjakan tes tersebut setelah mendengarkan paparan materi yang diberikan, memiliki rata-rata sebanyak 81,22 poin dan median sebanyak 90 poin. Selain itu, mayoritas peserta memberikan umpan balik positif, menyatakan kepuasan terhadap kualitas materi, narasumber, dan penyelenggaraan acara. Kegiatan ini menegaskan bahwa edukasi teknologi Machine Learning diterima dengan baik dan berpotensi mendukung pengembangan keterampilan di berbagai sektor, termasuk industri kreatif dan teknologi.
Educating on the Application of Tensorflow in Artificial Intelligence, Machine Learning and Deep Learning Santoso, Ilham Budi; Aji, Irfan Pandu; Franskusuma, Sutio; Putri, Khansa Aqila; Ardharani, Yana; Mujiastuti, Rully; Nurbaya Ambo, Sitti; Meilina, Popy; Rosanti, Nurvelly; Amri, Nurul
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.547

Abstract

In addition to bringing positive impacts, technological developments also provide new challenges in improving people's technological literacy, especially related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). One of the main challenges is the low public understanding of these technologies, which are increasingly relevant in the era of digital transformation. On the other hand, Google developed a library with the name TensorFlow which is widely used for data processing in Artificial Intelligence, Machine Learning, and Deep Learning. Based on this, educational activities were carried out in the form of introducing and training the use of TensorFlow to the general public in the form of webinars and workshops with the theme ‘Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning’. The activity was carried out in two stages, namely webinars for delivering basic material and workshops for hands-on practice. Based on evaluation through a Likert scale questionnaire, the majority of participants stated that they were very satisfied with the quality of the material, presenters, and implementation of activities. The post-test results also showed an increase in participants' understanding of the material, as evidenced by correct answers on topics such as TensorFlow functions, supervised learning, and neural networks. The participation of 52 participants from various institutions shows the success of this activity in achieving its goals.  
Digital Transformation for MSMES: From Local to Global Priadi, Aryaguna Fadlurrahman; Alghifari, Abdul Hafizd; Fachrudin, Tedy; Amanullah, Muhammad Faiz; Mujiastuti, Rully; Sutrisno, Mirza; Meilina, Popy; Nurbaya Ambo, Sitti; Ardharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.542

Abstract

In the digital era, Micro, Small and Medium Enterprises (MSMEs) are required to adapt to technology to improve competitiveness in the global market. One effective strategy is the utilization of digital platforms for online product promotion. This webinar and workshop activity aims to provide MSME players with an understanding of the use of CapCut, Canva, and TikTok Shop as digital marketing tools. The webinar discussed the basic theory of digital marketing strategies, while the workshop provided hands-on practice in creating promotional content using the three platforms. Evaluation was conducted through pre-test and post-test to measure the improvement of participants' understanding. The results showed that 70% of participants experienced an increase in understanding, and 85% of participants were satisfied and very satisfied with the material presented. This activity proves that the utilization of digital technology can help MSMEs in increasing their visibility and market reach more broadly.
Introduction to Networking Infrastructure on Cisco Packet Tracer: Routing a Home-to-Home Network to a Central Server Syahrul Al Habib; Rahmat Fajrial Azim; Muhammad Rizqi Raihan Firdaus; Diana Nur Haliza; Muhammad Izzudin Rosadi; Sitti Nurbaya Ambo; Yana Adharani; Nurvelly Rosanti; Rully Mujiastuti
Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat
Publisher : Faculty of Cultural Studies, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.gramaswara.2025.005.02.04

Abstract

Lack of understanding about computer networks and routing configurations poses a challenge for students and the general public interested in technology. To address this, a Webinar and Workshop titled “Introduction to Networking Infrastructure on Cisco Packet Tracer: Routing a Home-to-Home Network to a Central Server” was held. The event aimed to provide theoretical and practical knowledge of computer networks and routing simulations using Cisco Packet Tracer. The Webinar covered basics such as network types, IP addresses, and an introduction to Cisco Packet Tracer, while the Workshop focused on hands-on practice. Evaluation revealed a significant improvement in participants' understanding, with average Pre-Test scores rising from 70% to 90% in the Post-Test. Attended by 40 participants from various institutions, 95% expressed satisfaction with the material and presenter delivery. The activity successfully enhanced participants' knowledge and skills in computer networking.
PERANCANGAN UI/UX WEBSITE ARTIFICIAL INTELLIGENCE DETECT ASSISTANT (AIDA) PENGUKURAN BADAN DENGAN METODE DESIGN THINKING Habibie, Muhammad Fadhil; Mujiastuti, Rully
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 15 No 2, Januari Tahun 2025
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.15.2.332 – 338

Abstract

Penelitian ini mengangkat tema artificial intelligence berupa perancangan website pengukuran badan yang diberi nama Artificial Intelligence Detect Assistant (AIDA). AIDA adalah sebuah website untuk melakukan pengukuran pada tubuh sehingga dapat menghasilkan ukuran pakaian secara real time. Website ini dirancang karena adanya permasalahan terkait sulitnya mencari ukuran pakaian yang sesuai ketika berbelanja di e-commerce. Penulis membatasi perancangan pada desain User interface (UI) dan User experience (UX) berupa Wireframe, High fidelity (Hi-Fi) dan Prototype serta tools figma dalam membuat rancangannya. Metode yang digunakan dalam perancangan adalah metode Design Thinking yang berpusat pada pengguna. Metode ini memiliki beberapa fase yaitu Emphatize, Define, Ideate, Prototype, dan Test. Dari hasil testing yang telah dilakukan, didapatkan hasil berupa tampilan dari website AIDA dengan feedback yang positif dari 5 pengguna yang menjadi partisipan menggunakan skala likert dengan nilai 4 atau puas.
Python and Data Science: Building a Foundation with Practical Projects Abduzzhohir, Yasir; Saleh, Muhammad Raihan; Sunatun, Sunatun; Saputra, Agita Irvanda; Wahyudi, Ramzy Al Firza; Hendra, Hendra; Mujiastuti, Rully; Sutrisno, Mirza; Jumail, Jumail; Rosanti, Nurvelly
Society : Jurnal Pengabdian Masyarakat Vol 4, No 3 (2025): Mei
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i3.551

Abstract

In today's digital era, data has a crucial role in decision making. To increase public understanding, especially students, about Data Science, a webinar and online workshop titled “Python and Data Science: Building a Foundation with Practical Projects” through the Zoom Meeting Conference platform. This activity aims to provide a basic understanding of the concepts, benefits, and applications of Data Science in various industrial fields. Participants are invited to learn the use of Python in data analysis, and are given case study projects related to sales data analysis to apply the knowledge they have gained. This webinar and workshop activity was held on January 23, 2025, at 09.00 WIB which was attended by 40 participants from various institutions. The evaluation results show that participants expressed their satisfaction as indicated by the percentage of positive values in the feedback of 40% satisfied and 37% very satisfied with this activity.  In addition, there was an increase in participants' understanding of Data Science, with the Pre-Test average score increasing from 7.87% to 8.21% on the Post-Test.
Pemberdayaan Keluarga dengan pendekatan Heatlh Coaching dalam Upaya Keluarga sadar dan Siaga Tuberkulosis.di Klinik TB RO Rumah Sakit Islam Jakarta Cempaka Putih. Rita, Erni; Mujiastuti, Rully; Setiyono, Erwan; Widiastuti, Eni; Awaliah; Idriani; Zuryati, Masmun; Nurhidayat, Wulan; Arfiansyah, Fachri
Jurnal Pengabdian Masyarakat Teknik Vol. 7 No. 2 (2025): Jurnal Pengabdian Masyarakat Teknik (JPMT)
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jpmt.7.2.129-136

Abstract

Tuberkulosis Resistan Obat (TBC RO) adalah penyakit TBC yang disebabkan oleh kuman M. tuberculosis yang sudah mengalami resistansi atau kebal terhadap obat antituberkulosis (OAT) yang digunakan saat ini. Pelayanan Tuberkulosis Resistensi Obat pada Layanan terpadu TB Resistensi Obat adalah Pelayanan Klinis yang bersifat komprehensif, terpadu dan menyeluruh terhadap pasien dengan diagnosis TB RO. Pasien TB RO setiap hari minum obat di depan PS ( Pasient Supporter). Pasient Suporter yang bertugas untuk mendampingi pasien TB RO dari awal pengobatan sampai sembuh. Pendampingan pasien bertujuan agar pasien benar-benar berobat penuh sehingga tidak akan mangkir. Oleh karena itu pendamping pasien perlu memberikan motivasi serta perhatian agar pasien memiliki kemauan untuk sembuh. Health Coaching adalah praktik pendidikan kesehatan dan promosi kesehatan dengan maksud untuk meningkatkan kesehatan individu dan untuk memfasilitasi pencapaian tujuan Kesehatan.Tujuan Kegiatan Pengabdian kepada Masyarakat membentuk inovasi pendampingan keluarga adalah Pemberdayaan keluarga dengan pendekatan Heatlh Coaching dalam Upaya Keluarga sadar dan Siaga Tuberkulosis. Metode yang diterapkan adalah kombinasi dari beberapa pendekatan yaitu metode Pemberdayaan dengan pendekata health coaching sebagai upaya untuk meningkatkan pengetahuan keluarga dalam merawat dan mencegah penularan TB Paru didalam lingkungan keluarga., serta metode bina suasana. Hasil Pengabdian kepada Masyarakat dari kegiatan adalah peningkatan pengetahuan dan kemampuan keluarga dalam merawat dan mencegah penularan TB Paru.Rata-rata pengetahuan keluarga sebelum dilakukan Coaching 8,88, setelah dilakukan Coaching 9,81, dengan P Value 0,000. Ada hubungan yang signifikan pengetahuan Coaching pada keluarga TB RO. Kesimpulannya, pemberdayaan keluarga siaga dengan metode Health Coaching kepada keluarga efektif meningkatkan pengetahuan dan kemampuan dalam merawat dan mencegah penularan TB paru,
Identifikasi Beritas Palsu Pada Situs Berita Di Indonesia Menggunakan Model Naive Bayes Akhdan, Nabil; Meilina, Popy; Mujiastuti, Rully; Hendra, Hendra
Prosiding Semnastek PROSIDING SEMNASTEK 2025
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Penyebaran berita palsu di internet menjadi tantangan utama di era digital. Penelitian ini bertujuan membangun model identifikasi berita palsu pada situs berita di Indonesia menggunakan algoritma Naive Bayes Classifier. Dataset diperoleh dari Kaggle dan GitHub yang berisi berita dengan label fakta atau palsu. Tahapan penelitian mencakup text preprocessing, pembobotan TF-IDF, dan klasifikasi. Hasil evaluasi menggunakan data latih dan uji (skenario 80:20) menunjukkan model mampu mendeteksi berita palsu dengan akurasi sebesar 89%, precision 89%, dan recall 89%. Sistem yang dikembangkan diharapkan dapat membantu masyarakat mengenali berita palsu serta meningkatkan literasi digital.
Aplikasi FLORYS : Deteksi Kesehatan Tanaman Hias Menggunakan Model YOLOv8 Aji, Irfan Pandu; Mujiastuti, Rully; Azima, Fauzan; Sutrisno, Mirza
Prosiding Semnastek PROSIDING SEMNASTEK 2025
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Tanaman Hias kerap kali digunakan sebagai penghias rumah, kantor, dan sebagainya karena keindahannya. Namun banyak orang yang memiliki tanaman hias merasa kesulitan untuk merawatnya dengan baik karena minimnya pengetahuan tentang kondisi kesehatan tanaman hias dan cara merawatnya. Untuk mengatasi masalah ini, peneliti melakukan penelitian dengan membuat sebuah aplikasi berbasis android bernama Florys. Tujuannya adalah untuk membantu pemilik tanaman hias merawat tanamannya agar lebih sehat yang dapat dianalisis melalui foto atau hasil pemindaian tanaman, serta memberikan saran perawatannya. Metode yang digunakan adalah AI Project Cycle. Dimulai dengan pengumpulan dataset beranotasi dari platform Kaggle dan Roboflow, pelatihan model deteksi serta evaluasi performa model dengan menggunakan metrik precision, recall, dan mean Average Precision. Hasil penelitian menunjukkan bahwa model YOLOv8 mampu mendeteksi berbagai jenis penyakit tanaman hias dengan tingkat precision mencapai 73%, menunjukkan akurasi deteksi yang cukup tinggi. Model telah diuji dengan dua skenario yaitu untuk deteksi tanaman hias dalam kondisi sakit dan sehat. Pada pengujian deteksi tanaman sakit, model menghasilkan keluaran yang konsisten dengan tingkat kepercayaan tinggi, yang divalidasi dengan rata-rata hasil prediksi dikalikan faktor pengujian sebesar 0.5. Sedangkan untuk deteksi tanaman sehat, model menunjukkan hasil yang konsisten pula dengan faktor pengujian sebesar 0.8. Kedua pengujian ini membuktikan bahwa model memiliki kapabilitas dalam mengidentifikasi kondisi tanaman dengan akurat dan dapat memberikan rekomendasi perawatan yang tepat kepada pengguna.
Co-Authors Abdillah Nugroho Abdul Rezak Abduzzhohir, Yasir Abean, Mohammad Arief Abyan Shidqi, Muhammad Achmad Suhendar Adharani, Yana Adrian Mustafa Afkarinah, Afni Izzah Afridhon Iwan Pramudiaji Agung Firmansyah Agung Firmansyah Ahmad Faiz Dermawan Ahmad Subhan Fuady Aji, Irfan Pandu Ajinaya, Wisnu Selaguna Akhdan, Nabil Akhmad Thauzi Akwa, Villian Shah Alfarizi, Muhammad Azis Alghifari, Abdul Hafizd Algibran, Kevin Raydafa Alifsyah Ramadhan, Rafi Novranza Alriyanto, Abri Okta Alviant Chandra Kusuma Amanullah, Muhammad Faiz Amar Triadi Aminudin, Muhammad Amri, Nurul Ananto, Dimas Taufiq Andita Rizkiah Anggi Rahmadillah Anjani, Meisya Putri Annafi, Ananda Radhiyya Annisa Tria Yuniana Apriliano, Yova Rezky Arafah, Aryuni Ardharani, Yana Ardika, Sadin Yusuf Arfiansyah, Fachri Arista Putri, Syahda Arkan, Mohammad Assidiq Nurrochman Asyahri, Aldo Dwi Asyrofi Abdussani Athif Nur Abdillah Aullia, Mochammad Rizqi Awaliah Awaliah Azhari Daulay Azizah, Faza Shafa Azril Ferdiansyah Romadoni Azzahra, Alya Rahmah Bagus Kurniawan Bagus Kurniawan, Bagus Bintang, Reihan Aditya Permata Chantika Dian Anugrah Cholis Arethusa, Muhammad Dafin Nouval Arief Dahshal Alhareth, Naji Salem Ali Diana Nur Haliza Didik Haryadi Dzaki Fawwaz Aryadi Dzakwan Nugroho Elnur , Irsyadi Hanif Emi Susilowati Emi Susilowati Eni Widiastuti Eni Widiastuti Eni Widiastuti, Eni Erni Rita Ernirita Erwan Setiyono Fachrudin, Tedy Fadhlurokhman, Rafi Fadli Indra Guci Fadli Indra Guci Fahmi, Sonny Fajar Sulistyanto Fajri, Muhammad Akbar Al Fajri, Nur Zaman Fakhul Jannah, Elsa Ananda Hanifah Farid Nugraha Wijaya Fauzan Azima Fikram Althaf Muyassar Filayati, Muhammad Albi Akbar Fizar, Bintang Al FJ, Elsa Ananda Hanjfah Franskusuma, Sutio Gimnastiar, Nazar Guritno, Deden Habibie, Muhammad Fadhil Hafita Ayuning Hafizh Umar Haq Hakim, Muhammad Farizs Hakim, Taufiq Rahman Hanifani , Fildzah Amalina Haq, Hafizh Umar Haryanda, Muhammad Haykal Andana, Muhammad Hendra Hendra Hendra Hermawan, Muhammad Luthfi Hidayat, Ragil I Wayan Gede Artawan Eka Putra Ibnu Prasetyo Idriani Idriani Idriani Ilham Firmansyah Dika Ilham, Muhammad Arifin Indri Surya Ningsih Irawan, Doni Irfan Purnawan Purnawan Ismawanto, Alvi Jaharuddin, Jaharuddin Jumail Jumail Jumail Jumail, Jumail Jumail, Jumail Jundullah, Khalid Kevin Arya Dandy Khalisah Hasna Naila Shifa Khalnaya Shira Sakiba Khanafi , Muhammad Almustofa Khoirrosyid, Haida Khoirudin Sidik Kurniawan, Bagas Kyla, Idelia Fitri Lantip Nurohman Lantip Nurrohman Lily Herlina Lina Sutra Luqman Ali Dinul Ramadhan Luthfiyah, Afrahani M. Ravi Mega Arasy Masmun Zuryati Masmun Zuryati Maulana Faiz Maulana Saputra, Reza Ade Maulana, Hanif Maulana, Mirza Mega Fatimah Rosana Memanda, Freddy Meri Prasetyawati MIFTAHUL JANNAH Mirza Sutrisno Mohamad Fajar Mutaqin Muhammad Ajar Danu Wiratama Muhammad Ajar Danu Wiratama Muhammad Akhyar Muhammad Almustofa Khanafi Muhammad Arma Bimo Wahyu Winaktu Muhammad Azizsyah Putra Muhammad Azril Naufal Shadiq Muhammad Bilal Taqwa Muhammad Fadhil Habibie Muhammad Farizs Hakim Muhammad Fikri Arrayan Muhammad Ghifari Muhammad Hably Nasrullah Muhammad Haidar Althaaf Sutowo MUHAMMAD HASBI Muhammad Imam Najib Muhammad Izzudin Rosadi Muhammad Jihan Maulana Zuhri Muhammad Kamal Ibrahim Muhammad Lutfi Yatna Muhammad Naufal Razani Muhammad Ravlyansyah Muhammad Rayyan Ghifari Muhammad Rijal Syifaulqolbi Muhammad Rizqi Raihan Firdaus Muhammad Sayyid Farhan Muhammad Zaid Itqon Muhammad Zaki, Dimas Aufa Muhammad Zikri Mustaqim Anwar Musthafa Abdur Rahman Mutmainah, Mutmainah Nabilla, Naula Nandhita Ghin Yatin Nafiah Nashiro, Muhamad Sultonan Nasirul Haq, Muhammad Natasya Umi Fitria Ningsih , Indri Surya Nurhidayat, Wulan Nurvelly Rosanti Nurvelly Rosanti, Nurvelly Nurwijayanti Popy Meilina Prasetio, Iqlal Wira Pratama, Renaldi Prayogo, Ikhsan Adi Priadhana Edi Kresnha Priadi, Aryaguna Fadlurrahman Putra, Alif Naufal Teguh Putra, Muhammad Azizsyah Putri Fadlilatun Nazilah Putri Fadlilatun Nazilah Putri, Khansa Aqila Putri, Khansa Aqilla Qardhawi, Nadif Yusuf Rafi, Muhammad Miftahur Rafiyandi, Danu Sisda Rahmat Fajrial Azim Rahmita Nurul Muthmainnah Raisya, Alika Ramadhan, Atthilla Sulthan Ramadhan, Muhammad Thoriq Ramadhan, Rafi Novranza Alifsyah Raswati, Elsa Mundi Retnani Latifah Retnani Latifah, Retnani Riska Dwi Haryani Rivaldy, Adrian Rizal Imam Firmansyah Rizky Maulana, Rizky Rizky Purwanto Rizky, Maulana Rosanti , Nurvelly Rufi'i S, Muhamad Thirafi Qaedi Sabhan, Rifqi Baihaqi Sadam, El Faath Saleh, Muhammad Raihan Saleh, Oldi Alfani Sunan Salma , Aiva Nabilla Salwa Dwi Anindita Laksmi Santoso, Ilham Budi Saptrian, Muhammad Daffa Saputra, Agita Irvanda Saputra, Muhammad Fikri Dwi Septian Tri Saputra Septyawan, Reihan Shadiq, Muhammad Azril Naufal Shidqi, Muhammad Abyan Sitti Nurbaya Sitti Nurbaya Ambo Sugiartowo Sugiartowo Sugiharti, Tita Indah Sukmawandana Gilang Nurmawan Sunatun, Sunatun Syahla Tazkiya Syahla Tazkiya Syahputra, Maulana SYAHRI, NUR ALFI Syahrul Al Habib Syamil Ghufron Rabbani Syauqi, Muhammad Haikal Taufik Hidayat Tria Astika Endah Permatasari Utami, Mirsanda Amelia Virgi Al-Fiansah Vivria, Muhammad Efendi Vizayaksa, Gema Wahyu Nugraha Wahyudi, Ramzy Al Firza Widya Qolbu Nabila Yasir Abduzzhohir Yatin Nafiah, Nandhita Ghin Zahran, Fikry Muhammad Zahro, Rahmita Zaky Pratama Zaky Yusuf Ajindra Zia Zhuang, Tan Kelvin Zikri, Agil Haubi Zulfikar, Mohamad Rafli Zuryati, Masmun