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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 Kewirausahaan dan Bisnis 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 ABDINE Jurnal Pengabdian Masyarakat Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian Masyarakat Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka
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 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

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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.
Pelatihan Desain Web Responsif melalui Webinar dan Workshop sebagai Upaya Peningkatan Kompetensi Digital Peserta Zaky Yusuf Ajindra; Chantika Dian Anugrah; Muhammad Zaid Itqon; Akhmad Thauzi; Adrian Mustafa; Mirza Sutrisno; Rully Mujiastuti; Popy Meilina; Sitti Nurbaya Ambo; Jumail Jumail
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Mei : NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v6i2.8268

Abstract

This community service activity aims to enhance participants' digital competency through responsive web design training conducted using integrated webinar and workshop methods. The background of this activity is based on the increasing need for adaptive web development skills across various devices to support digital personal branding. This activity involves university students and the general public and is conducted online utilizing modern communication platforms. The implementation method consists of preparation, implementation, and evaluation stages. In the implementation stage, participants attend webinar sessions to strengthen conceptual understanding of responsive web design principles, followed by workshop sessions that emphasize hands-on practice in website creation using HTML, CSS, and JavaScript. Evaluation is conducted through pre-tests and post-tests to measure program effectiveness. The results show a significant increase in participants' digital competency with an average score increase of 55.8%. These findings indicate that the integration of webinar and workshop methods is effective in improving participants' conceptual understanding and technical skills. This activity is expected to serve as a model for community service based on applicable and sustainable digital competency development.
TRANSPARANSI WEDDING ORGANIZER DENGAN SISTEM MONITORING BERBASIS WEB MENGGUNAKAN REACT BERBASIS BOOTSTRAP Abduzzhohir, Yasir; Wijaya, Farid Nugraha; Nurrochman, Assidiq; Akhyar, Muhammad; Haryadi, Didik; Adharani, Yana; Mujiastuti, Rully
Jurnal Pengabdian Masyarakat Sabangka Vol 5 No 02 (2026): Jurnal Pengabdian Masyarakat Sabangka
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/sabangka.v5i02.2176

Abstract

Wedding organizers are professional service providers in planning and managing wedding events that require transparent and well-structured information management. This study aims to improve participants’ understanding of applying modern web technologies in developing a transparent and efficient wedding organizer monitoring system. The method used was a descriptive approach implemented through webinar and workshop activities, including socialization, material delivery, hands-on practice, and evaluation using pre-test and post-test instruments. The results indicate an improvement in participants’ understanding, as reflected by post-test results in which most questions achieved correct answer percentages above 70% compared to the pre-test. Furthermore, participant feedback showed a high level of satisfaction, with 56.6% of participants strongly agreeing and 40.7% agreeing with the quality of the materials and the implementation of the activities. These findings indicate that the activities were effective in enhancing participants’ knowledge and practical skills.
Build your Business Website without Coding Experience,  A Practical Guide for UMKM Raswati, Elsa Mundi; Putra, Muhammad Azizsyah; Lantip Nurohman; Muhammad Ghifari; Muhammad Sayyid Farhan; Rita Dewi Risanty; Mujiastuti, Rully; Rosanti, Nurvelly; Hendra; Adharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/fqjpdv24

Abstract

In the era of Industrial Revolution 4.0, Small and Medium Enterprises (SMEs) face significant pressure to adapt to digital transformation. However, a major problem persists: many business owners lack the technical skills to build websites and perceive the process as costly and complex, leaving them reliant solely on social media algorithms. To address this gap, a community service program titled "Build Your Business Website Without Coding Experience" was implemented to assist SMEs in establishing a professional digital presence. The solution offered was a comprehensive training program combining a webinar on the urgency of frontend design with a technical workshop on template-based website management using Visual Studio Code, GitHub, and Vercel. This method allowed participants to modify and deploy websites without extensive programming knowledge. The outcomes were significant; participants showed a marked improvement in digital literacy, with average understanding scores increasing from 82.95 in the pre-test to 92.4 in the post-test. Furthermore, participants successfully deployed their own business websites, proving that this practical approach effectively lowers technical barriers and enhances SME competitiveness in the digital ecosystem.
Prompt Strategy for Optimal AI Results Azzahra, Alya Rahmah; Rivaldy, Adrian; Nabilla, Naula; Shadiq, Muhammad Azril Naufal; Kyla, Idelia Fitri; Meilina, Popy; Mujiastuti, Rully; Sutrisno, Mirza; Rosanti, Nurvelly; Adharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/5kveke20

Abstract

The rapid development of artificial intelligence (AI) technology requires users to have the ability to compose effective instructions or prompts so that the output produced meets their needs. However, many users, especially students, do not yet understand prompting strategies optimally. Therefore, this community service activity was carried out in the form of a webinar and workshop entitled “Prompt Strategies for Optimal AI Results.” This activity aims to improve participants' understanding and skills in utilizing AI through prompting techniques such as Chain-of-Thought (CoT), Few-shot Prompting, Retrieval-Augmented Generation (RAG), ReAct, and Tree of Thoughts (ToT). The methods used in this activity included socialization, pre-testing, webinar material delivery, hands-on practice in the workshop session, post-testing, and evaluation through a feedback questionnaire. The evaluation results showed a significant increase in participants' understanding, marked by an increase in the average score from 78.06 in the pre-test to 100 in the post-test, or an increase of 28.1%. Additionally, participant satisfaction with the material, presenters, and activity implementation was very high. Thus, this activity proved effective in improving participants' literacy and competence in the optimal use of AI.
From Zero to AI: Educational Initiatives Through Webinars and Workshops on Developing Machine Learning Models Using TensorFlow Haq, Hafizh Umar; Mirza Sutrisno; Popy Meilina; Yana Adharani; Nurvelly Rosanti; Jumail; Kevin Arya Dandy; Muhammad Imam Najib; Anggi Rahmadillah; Miftahul Jannah; Rully Mujiastuti
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/3qq71h51

Abstract

The development of Artificial Intelligence (AI) and Machine Learning (ML) requires improved technological literacy and a basic understanding of practical applications. This study aims to introduce the concepts of AI and ML through the implementation of simple machine learning models using TensorFlow. The methods used include material delivery, model implementation practice, and evaluation through pre-tests, post-tests, and feedback questionnaires. The evaluation results show an increase in participants' understanding, marked by an increase in the average score from 76.76 on the pre-test to 80.91 on the post-test, or an increase of 5.41%. In addition, the feedback results showed a very high level of satisfaction, with 96% of participants giving positive ratings. This shows that the TensorFlow-based learning approach is effective in improving basic understanding and skills related to AI and ML.
Codeless Data Science with KNIME: Data Analysis and Optimization Without Coding Ahmad Faiz Dermawan; Muhammad Ajar Danu Wiratama; Maulana Faiz; Khoirudin Sidik; Azril Ferdiansyah Romadoni; Mirza Sutrisno; Yana Adharani; Rully Mujiastuti; Nurvelly Rosanti
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/errrt191

Abstract

In the era of digital transformation, data analysis skills have becomeessential competencies for students and the general public. However,data science learning is often perceived as complex due to its relianceon programming skills. To address this issue, a communityengagement program in the form of a webinar and workshop entitled“Codeless Data Science Using KNIME: Data Analysis andOptimization without Coding” was conducted. This program aimedto enhance participants’ literacy and understanding of fundamentaldata science concepts through a codeless approach using the KNIMEAnalytics Platform. The activity was implemented in two main stages:a webinar session focusing on conceptual explanations and the datascience workflow, followed by a hands-on workshop session involvingpractical data analysis and predictive modeling through visualworkflows without coding. Program evaluation was conducted usinga post-activity feedback questionnaire. The results indicated that69.4% of participants were very satisfied, 22.2% were satisfied, 5.6%felt neutral, and 2.8% were dissatisfied with the overallimplementation. These findings demonstrate that the majority ofparticipants responded positively to the materials, delivery methods,and overall organization of the activity. Therefore, this communityengagement program can be considered effective in promotinginclusive and accessible data science learning through a codelessapproach.
Co-Authors Abdillah Agung Nugroho Abdul Rezak Abduzzhohir, Yasir Abean, Mohammad Arief Abyan Shidqi, Muhammad 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 Ambo, Siti Nurbaya 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 Asyahri, Aldo Dwi Asyrofi Abdussani 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 Emi Susilowati Emi Susilowati Eni Widiastuti Eni Widiastuti Eni Widiastuti, Eni erni rita Ernirita Ernirita Ernirita Ernirita Ernirita Erwan Setiyono Erwan Setiyono Fachrudin, Tedy Fadhlurokhman, Rafi Fadli Indra Guci Fahmi, Sonny Fajar Sulistyanto Fajri, Muhammad Akbar Al Fajri, Nur Zaman Fakhul Jannah, Elsa Ananda Hanifah 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 Hakim, Muhammad Farizs Hakim, Taufiq Rahman Haq, Hafizh Umar Haryanda, Muhammad Haykal Andana, Muhammad Hendra Hendra 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 Irawan, Doni Irfan Purnawan Purnawan Ismawanto, Alvi Jaharuddin, Jaharuddin Jumail Jumail Jumail Jumail, Jumail Jundullah, Khalid Kevin Arya Dandy Khalisah Hasna Naila Shifa Khoirrosyid, Haida Khoirudin Sidik Kurniawan, Bagas Kyla, Idelia Fitri Lantip Nurohman Lily Herlina Lina Sutra Luthfiyah, Afrahani M. Ravi Mega Arasy Masmun Zuryati Masmun Zuryati Maulana Faiz Maulana Saputra, Reza Ade Maulana, Hanif Maulana, Mirza Meilina, Poppy Memanda, Freddy Meri Prasetyawati MIFTAHUL JANNAH Mirza Sutrisno Muhammad Ajar Danu Wiratama Muhammad Akhyar Muhammad Fadhil Habibie Muhammad Farizs Hakim Muhammad Ghifari Muhammad Hably Nasrullah MUHAMMAD HASBI Muhammad Imam Najib Muhammad Izzudin Rosadi Muhammad Lutfi Yatna Muhammad Rayyan Ghifari Muhammad Rizqi Raihan Firdaus Muhammad Sayyid Farhan Muhammad Zaid Itqon Muhammad Zaki, Dimas Aufa Muhammad Zikri Mustaqim Anwar Musthafa Abdur Rahman Mutmainah Mattjik, Mutmainah Nabilla, Naula Nashiro, Muhamad Sultonan Nasirul Haq, Muhammad Natasya Umi Fitria Nurbaya Ambo, Sitti Nurhidayat, Wulan Nurrochman, Assidiq Nurvelly Rosanti Nurvelly Rosanti, Nurvelly 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 Risanty, Rita Dewi Riska Dwi Haryani Rita Dewi Risanty Rita Dewi Risanty rita, erni Rivaldy, Adrian Rizal Imam Firmansyah Rizky Maulana, Rizky Rizky Purwanto Rizky, Maulana S, Muhamad Thirafi Qaedi Sabhan, Rifqi Baihaqi Sadam, El Faath Saleh, Muhammad Raihan Saleh, Oldi Alfani Sunan Santoso, Ilham Budi Saptrian, Muhammad Daffa Saputra, Agita Irvanda Saputra, Muhammad Fikri Dwi Septian Tri Saputra Septyawan, Reihan Setiyono, Erwan Shadiq, Muhammad Azril Naufal Shidqi, Muhammad Abyan Sitti Nurbaya Sitti Nurbaya Ambo Sugiartowo Sugiartowo Sugiharti, Tita Indah Sukmawandana Gilang Nurmawan Sunatun, Sunatun Sutrisno, Mirza Syahla Tazkiya Syahla Tazkiya Syahputra, Maulana SYAHRI, NUR ALFI Syahrul Al Habib 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 Wijaya, Farid Nugraha Yatin Nafiah, Nandhita Ghin Zahran, Fikry Muhammad Zahro, Rahmita Zaky Yusuf Ajindra Zia Zhuang, Tan Kelvin Zikri, Agil Haubi Zulfikar, Mohamad Rafli Zuryati, Masmun