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Digital Forensics on Virtual Operating Systems: Image and Memory File Acquisition as Evidence Syahputra, Maulana; Zulfikar, Mohamad Rafli; Maulana, Hanif; Hakim, Muhammad Farizs; Aminudin, Muhammad; Sutrisno, Mirza; Hendra, Hendra; Risanty, Rita Dewi; Meilina, Poppy; Mujiastuti, Rully
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Teknologi yang berkembang pesat memiliki dampak positif dan negatif, tergantung pada penggunaannya. Di satu sisi, teknologi memudahkan aktivitas individu atau kelompok, sementara di sisi lain, penyalahgunaannya dapat menyebabkan kejahatan dunia maya (cybercrime). Hal ini mendorong peningkatan sistem keamanan sebagai respons terhadap meningkatnya cybercrime. Dalam konteks ini, teknologi informasi memegang peran penting dalam pertumbuhan ekonomi global. Selain itu, meningkatnya penggunaan sistem operasi virtual menuntut pendekatan forensik digital yang lebih canggih, terutama dalam pengumpulan bukti seperti citra dan file memori. Program ini memberikan edukasi dan pelatihan melalui webinar dan workshop kepada 56 mahasiswa yang tertarik pada keamanan siber, dengan fokus pada teknik akuisisi bukti digital. Edukasi ini bertujuan meningkatkan pemahaman peserta terhadap integritas bukti dan metode yang tepat dalam forensik digital, dengan hasil menunjukkan peningkatan rata-rata pemahaman sebesar 30% pada materi yang diajarkan. Nilai rata-rata pre-test adalah 88.64%, sedangkan nilai rata-rata post-test adalah 77.95%. Hasil ini menggarisbawahi pentingnya pendidikan berkelanjutan dalam forensik digital untuk menghadapi tantangan yang berkembang dalam dunia maya.
Webinar & Workshop Optimizing Digital Information: Data Analyst & Web Developer Synergy Prayogo, Ikhsan Adi; Alriyanto, Abri Okta; Sabhan, Rifqi Baihaqi; FJ, Elsa Ananda Hanjfah; S, Muhamad Thirafi Qaedi; Rosanti, Nurvelly; Mujiastuti, Rully; Sutrisno, Mirza; Adharani, Yana
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Dalam era digital, sinergi antara Data Analyst dan Web Developer sangat penting untuk mengoptimalkan informasi digital. Workshop ini memperkenalkan konsep dasar dan teknik dalam kedua bidang serta menunjukkan bagaimana kolaborasi mereka menghasilkan solusi yang lebih efektif dan efisien. Survei yang diisi 28 peserta webinar dan workshop, mayoritas dari Teknik Informatika Universitas Muhammadiyah Jakarta. Sebanyak 100% peserta menjawab benar tentang tugas Data Analyst, pentingnya data, dan front-end development. Namun, pada pertanyaan tentang fungsi HTML, 92,6% (25 dari 27) menjawab benar, dan pada pertanyaan tentang tujuan visualisasi data, 96,4% (27 dari 28) menjawab dengan tepat. Hal ini menunjukkan pemahaman yang baik secara umum, meskipun masih terdapat sedikit ruang untuk peningkatan pada beberapa aspek.
Basic Introduction to NLP: Text and Language Analysis with Python Sadam, El Faath; Annafi, Ananda Radhiyya; Prasetio, Iqlal Wira; Nashiro, Muhamad Sultonan; Septyawan, Reihan; Sutrisno, Mirza; Risanty, Rita Dewi; Ambo, Sitti Nurbaya; Adharani, Yana; Mujiastuti, Rully
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Natural Language Processing (NLP) telah menjadi bidang penting dalam komputasi modern, dengan fokus pada interaksi antara bahasa manusia dan komputer. Webinar dan workshop "Pengenalan Dasar NLP: Analisis Teks dan Bahasa dengan Python" dilaksanakan pada 18 Juli 2024 secara daring, dihadiri oleh 35 peserta. Kegiatan ini meliputi pengenalan tentang NLP, demonstrasi penggunaan Python untuk analisis teks, dan sesi praktik dengan Google Colab. Hasil pre-test menunjukkan bahwa 70,4% peserta memiliki pengetahuan awal yang benar, meningkat menjadi 81,8% pada post-test. Feedback dari 44 peserta menunjukkan tingkat kepuasan yang tinggi, 100% peserta setuju bahwa materi yang disampaikan sesuai dan terstruktur dengan baik, narasumber kompeten, dan kualitas teknis kegiatan baik. Workshop ini berhasil meningkatkan pemahaman peserta tentang NLP, teknik pra-pemrosesan data teks, dan penggunaan Python dalam analisis teks bahasa. Kesimpulannya, kegiatan ini efektif dalam memperkenalkan NLP dan meningkatkan keterampilan analisis teks peserta menggunakan Python.
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.
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.
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.  
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.
Analisis Pemilihan Tenaga Kependidikan Terbaik Menggunakan Metode Weighted Product Ambo, Sitti Nurbaya; Mujiastuti, Rully; Susilowati, Emi
JISA(Jurnal Informatika dan Sains) Vol 2, No 2 (2019): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v2i2.491

Abstract

Education Personnel (Tendik) in higher education have an important role because they are tasked with carrying out administration, management, development, supervision, and technical services to support the education process in the education unit. The Tendik staff consists of administrative staff, library staff and laboratory staff. The success of Tendik in carrying out his work load can be seen from the criteria of attendance, job responsibilities, cooperation, loyalty, archiving and service. Furthermore, to be able to evaluate, motivate, and to be able to do promotion of tendik, it is necessary to make an effort in the form of selection of the best tendik, which so far has not been done in the Faculty of Engineering, University of Muhammadiyah Jakarta (FT UMJ). Recommendations for the selection of the best tendons made in this study using the Weighted Product method based on criteria established by the Quality Assurance Unit of FT UMJ. The results showed that the best selection of tendons was obtained from t e largest vector values in V3, V7, V9, V15, and V16, so that alternatives A3, A7, A9, A15, and A16 were the alternatives chosen as the best Tendik in FT UMJ. These results can be a recommendation for the leadership of FT UMJ to provide appreciation and promotion of the best Tendik as well as to evaluate, motivate and provide training for unskilled Tendik.
Tuberculosis Contact Screening and Investigation with Early Detection to Improve Case Discovery Ernirita Ernirita; Tria Astika Endah Permatasari; Rully Mujiastuti; I Wayan Gede Artawan Eka Putra
Jurnal Ners Vol. 9 No. 4 (2025): OKTOBER 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i4.51229

Abstract

Strategi penemuan pasien TB tidak hanya "promotif pasif dan aktif" tetapi juga melalui "penemuan aktif berbasis keluarga dan komunitas yang intensif dan masif", dengan tetap memperhatikan dan menjaga mutu layanan sesuai standar. Penelitian ini dilakukan dengan studi kohort retrospektif dengan memperoleh data pasien TB dengan indeks kasus. Data dikumpulkan melalui wawancara tatap muka menggunakan kuesioner terstruktur. Di antara 734 kontak, 141 (19,2%) adalah anak-anak (di bawah 15 tahun), 398 (54,2%) adalah perempuan, 152 (20,7%) adalah kontak serumah dan 446 (60,8%) adalah kontak erat yang menolak skrining 299 (40,71%), Semua kontak diwawancarai mengenai gejala TB. memiliki satu atau lebih gejala TB dengan gejala yang paling sering adalah batuk 104 (14,2%), sesak napas 24 (3,3%), keringat malam 15 (2%), demam 21 (2,9%), dari faktor risiko yang diperoleh 15 (2%) wanita hamil, 63 (8,6%) lansia, 20 (2,7%) menderita Diabetes Militus (DM) dan 12 (16,5%) adalah perokok. Dari skrining dan investigasi kontak, hanya 138 (18,8%) yang dirujuk untuk pemeriksaan, hanya 101 (13,8%), dari hasil pemeriksaan dahak, 11 (1,5%) positif tuberkulosis. Variabel dependennya adalah penolakan skrining, hasil uji statistik dengan α = 0,05 yang menunjukkan adanya hubungan antara usia (p=0,021), kontak serumah (p=0,000), kontak erat (p=0,0051), gejala batuk (p=0,000), sesak napas (p=0,000), keringat malam (p=0,003), demam (p=0,000), ibu hamil (p=0,003), lansia (p=0,000), diabetes (p=0,000), perokok (p=0,000), dirujuk (p=0,000), diperiksa (p=0,000), hasil pemeriksaan (p=0,004). Dan terdapat 2 variabel yang tidak berhubungan: jenis kelamin (p=0,101) dan pengobatan TB tidak tuntas (p=0,51). Deteksi dini dalam investigasi kontak TB dalam penemuan kasus melalui pendidikan preventif dan promotif perlu ditingkatkan.
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