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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Pendidikan Vokasi Mechatronics, Electrical Power, and Vehicular Technology Jurnal Media Infotama Jurnal Simetris Journal of Education and Learning (EduLearn) JUTI: Jurnal Ilmiah Teknologi Informasi Madrasah: Jurnal Pendidikan dan Pembelajaran Dasar VANOS Journal of Mechanical Engineering Education Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Taman Vokasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) al-Afkar, Journal For Islamic Studies Indonesian Journal of Education and Learning SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Premiere Educandum: Jurnal Pendidikan Dasar dan Pembelajaran JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) EDUMATIC: Jurnal Pendidikan Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Jurnal Educatio FKIP UNMA Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Indonesian Journal of Electrical Engineering and Computer Science Edunesia : jurnal Ilmiah Pendidikan REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Community Empowerment Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JURNAL ILMU PERPUSTAKAN (JIPER) Integrated Science Education Journal International Journal of Engineering, Science and Information Technology These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan Enggang: Jurnal Pendidikan, Bahasa, Sastra, Seni, dan Budaya JoMMiT : Jurnal Multi Media dan IT Journal Of Information And Technology Unimor (JITU) Tarbiatuna: Journal of Islamic Education Studies JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Penelitian Sains dan Pendidikan (JPSP) Indonesian Journal of Community Services in Engineering & Education (IJOCSEE) Journal of Educational Sciences Jurnal Basicedu J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis JS (Jurnal Sekolah) Information Technology Education Journal Nusantara Journal of Computers and its Applications Journal of Demography, Etnography, and Social Transformation Jurnal Sistem Informasi Galuh Journal of Information System and Education Development Integrated : Journal Of Information Technology and Vocational Education Buletin Literasi Budaya Sekolah semanTIK Journal Fascho in Education Conference-Proceedings INOVTEK Polbeng - Seri Informatika Indonesian Journal on Learning and Advanced Education (IJOLAE) Journal of Informatics and Vocational Education
Nuur Wachid Abdul Majid
Universitas Pendidikan Indonesia
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Security Maturity Assessment of Indonesian Android Mobile Banking Apps using MobSF and OWASP Rizal Aglal Faozi; Nuur Wachid Abdul Majid; Suprih Widodo
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.33285

Abstract

The rapid expansion of mobile banking in emerging economies has increased exposure to client-side security risks, while MASVS-based security maturity benchmarking of conventional banking applications remains underrepresented in the literature. This study conducts a standard-based comparative security maturity assessment of two major Indonesian Android banking applications, BRImo and myBCA. APK files obtained from the Google Play Store were analysed using Static Application Security Testing with the Mobile Security Framework (MobSF) and evaluated against OWASP MASVS Level 2 and MASVS-R. MobSF scores were interpreted as relative indicators of security maturity based on severity-weighted findings across multiple domains. The results reveal a clear divergence in maturity levels. Although both applications demonstrate strong network-layer protection, BRImo exhibits structural weaknesses in storage, cryptography, platform interaction, and resilience domains, indicating fragmented defence-in-depth implementation. In contrast, myBCA shows more consistent cross-domain control integration. This study contributes an MASVS-based security maturity benchmarking approach and provides conceptual evidence that formal regulatory compliance may coexist with inconsistent client-side technical implementation. The findings offer analytically transferable insights for developers, security auditors, and regulators in rapidly digitalising financial ecosystems.
Implementation of a Web-Based Student and Teacher Attendance System With QR Code Integration using the RAD Ganesh Lindung Nusantara; Rian Andrian; Nuur Wachid Abdulmajid
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/f2qvfs64

Abstract

This study aims to implement a web-based student and teacher attendance system with QR Code integration at SMK Muhammadiyah Campaka, Purwakarta. Currently, the school still uses a manual attendance system that is proven to be inefficient, time-consuming, prone to human error, and difficult to monitor in real-time. The proposed system is expected to overcome these problems by increasing the efficiency of managing and monitoring student attendance data. The Rapid Application Development (RAD) approach is used in developing this system, which allows for a faster and more flexible development process. QR Code was chosen as the attendance method because it can speed up attendance recording and reduce data input errors. The results showed that the new system succeeded in reducing attendance recording time by 50%, from an average of 10 minutes to only 5 minutes per class. In addition, the recording error rate was reduced by more than 70%, from the previous 36% to only 9% after the system was implemented. This system also allows attendance reports that can be accessed in real-time, supporting increased efficiency in the school environment. With the implementation of this system, it is hoped that the attendance process will be faster, more accurate, and easier to monitor, which in turn can improve the quality of education management at SMK Muhammadiyah Campaka.
Vocational Teachers’ Insights on Artificial Intelligence and Computational Thinking Integration Majid, Nuur Wachid Abdul; Barri, Muhamad Akda Fathul; Sari, Ayu Permata; Sodikin, Reisa Aulia; Azman, Mohamed Nor Azhari; Prestoza, Mark Jhon Ramos
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3660

Abstract

This qualitative case study investigates vocational teachers' perceptions of artificial intelligence and computational thinking integration in Indonesian secondary education. Seven vocational high school teachers from West Java Province participated through semi-structured interviews, non-participant observations, and document analysis following artificial intelligence training. The study employed an interactive analysis model to examine teachers' attitudes, concerns, and implementation strategies regarding artificial intelligence in educational contexts. Findings reveal positive teacher perceptions of artificial intelligence as a learning support tool, with applications ranging from creative media production to technical programming assistance. However, significant ethical and pedagogical concerns emerged, including academic integrity challenges, potential student dependency, inadequate prompt engineering skills, and risks of learning dehumanization. Teachers developed sophisticated guidance strategies, positioning artificial intelligence as a verification tool while maintaining human agency in learning processes. Supporting factors included personal initiative and professional learning communities, while barriers encompassed limited infrastructure, absence of formal guidelines, and varied digital competencies. The research contributes to understanding artificial intelligence adoption challenges in Indonesian vocational education and provides insights for implementing artificial intelligence skills curriculum policy. Results of the research are: (1) educators acknowledge significant advantages of AI integration, especially in improving technical learning experiences and promoting innovative educational endeavors, the integration of AI and computational thinking in the learning process must also prioritize the appropriate pattern aspects and requires clear guidance from stakeholders so that it can be implemented in the learning process; (2)  ethical and pedagogical issues arise as significant obstacles, encompassing abuses of academic integrity, threats of student dependency, insufficient prompt engineering skills, and the potential dehumanization of learning experiences; (3) educators demonstrate significant adaptability by formulating advanced guiding systems that utilize AI as a verification and support mechanism while maintaining human agency in educational decision-making.
Machine Learning-Based Early Warning for Student Dropout: Evidence from LMS Behavioral Engagement Patterns in Online Higher Education Rhezwan Dhaifullah Romdhoni; Nuur Wachid Abdul Majid; Anggita Fitri Permatasari
Journal of Informatics and Vocational Education Vol. 9 No. 2 (2026): Journal of Informatics and Vocational Education - July
Publisher : Informatics Education Department, Faculty of Teacher Training and Education, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/joive.v9i2.3508

Abstract

Student dropout in online higher education remains critically high, far exceeding face-to-face rates, yet declining behavioral activity in Learning Management Systems (LMS) offers key signals for early intervention. To identify robust predictors and model suitability for Early Warning Systems (EWS), this study presents a comparative analysis of machine learning for dropout prediction using clickstream data from the Open University Learning Analytics Dataset (OULAD), covering 32,593 students across seven undergraduate modules. Three supervised algorithms with Logistic Regression, Random Forest, and Support Vector Machine (SVM), were trained on 13 engineered features combining behavioral and demographic attributes from the Virtual Learning Environment (VLE), with Recall prioritized to minimize missed at-risk students. Results demonstrate that all models achieved strong discriminatory performance with AUC-ROC > 0.93; specifically, SVM provided the highest EWS fit with recall of 0.903, missing only 196 of 2,031 withdrawals (9.7%), while Random Forest attained the best overall accuracy (0.866) and AUC-ROC (0.940). Feature importance analysis further revealed that VLE behavior accounted for 85.0% of predictive power, with Activity Span emerging as the dominant predictor at 41.3%. Cross-module validation confirmed temporal engagement consistency as a robust, generalizable dropout signal. Therefore, these findings provide practical guidance for implementing data-driven EWS in online learning by prioritizing behavioral span metrics over static demographics
Development and Feasibility Testing of a Desktop-Based Learning Management System (LMS) Application Using the ADDIE Model Nofrendy Azin; Nuur Wachid Abdul Majid; Rhezwan Dhaifullah Romdhoni
Journal of Informatics and Vocational Education Vol. 9 No. 3 (2026): November 2026
Publisher : Informatics Education Department, Faculty of Teacher Training and Education, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/joive.v9i3.3683

Abstract

Web-based Learning Management System (LMS) platforms face persistent limitations in Indonesia, particularly complete dependence on internet connectivity, which disrupts learning continuity for students in areas with inadequate digital infrastructure. This study aimed to develop and test the feasibility of a desktop-based LMS application, named EduDesk LMS, using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. The application was built using the Tauri framework with Rust as the backend and React for the frontend, integrated with Supabase as the cloud database and authentication service. A key feature was an offline-online dual-mode mechanism, which allowed data to be stored locally when connectivity was unavailable and synchronized to the cloud automatically upon reconnection. The research subjects consisted of two educational technology experts for validation and 50 students selected through purposive sampling for the user trial. Data were collected using a Likert-scale questionnaire covering five assessment aspects: Display and Design, Ease of Use, Offline Feature, Usefulness, and User Satisfaction. Results showed that EduDesk LMS achieved a grand mean of 4.00, placing it in the Feasible category (3.41–4.20) across all five dimensions. The Display and Design aspect obtained the highest mean (4.09), followed by Usefulness (4.04), Ease of Use (4.03), User Satisfaction (3.94), and the Offline Feature (3.90). All aspects exceeded the minimum feasibility threshold of 3.41. These findings demonstrated that the ADDIE model effectively guided the development of a systematic, user-centered desktop LMS, and that EduDesk LMS constitutes a feasible platform for supporting flexible learning in higher education environments with varying connectivity conditions.
Sport Smart Futsal: Development and Feasibility Evaluation of an Android-Based Educational Game for Basic Futsal Technique Instruction in Junior High School PJOK Rahma Zaimatul Azhar; Nuur Wachid Abdul Majid; Rhezwan Dhaifullah Romdhoni
Journal of Educational Sciences Vol. 10 No. 8 (2026): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.10.8.p.190-205

Abstract

Basic futsal technique instruction in Indonesian junior high schools is constrained by limited weekly contact time and the absence of technology-based supplementary media, leaving students with insufficient opportunity to consolidate passing, dribbling, and shooting competencies outside scheduled lessons. This study aimed to develop and evaluate Sport Smart Futsal, an Android-based educational game designed as a supplementary learning medium for Grade VII PJOK students, and to determine student responses to the game. Development followed the four-stage 4D model (Define, Design, Develop, Disseminate), producing a Unity-built game with three technique-specific levels integrating Video, Info, and Quiz functions with embedded gamification elements. Validation was conducted by a content expert and a media expert, followed by small-scale (n = 8) and large-scale (n = 40) student response trials. Content expert validation yielded 90.0% and media expert validation yielded 82.5%, producing an overall average of 86.2% (Very Feasible). Small-scale trial response averaged 91.1% and large-scale trial response averaged 90.1%, with all items rated Very Feasible. Sport Smart Futsal is confirmed as a valid and feasible supplementary learning medium for basic futsal technique instruction, with future research recommended to employ experimental designs measuring direct learning gains.
Implementation of AI-Enhanced Formative Assessment with Learning Analytics to Support Conceptual Understanding and Process-Oriented Learning of High School Students in Informatics Subjects Tara Lestari Safitri; Nuur Wachid Abdulmajid
Information Technology Education Journal Vol. 5, No. 3, August (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i3.13491

Abstract

Purpose – Grade-oriented learning in Indonesian secondary education hinders deep conceptual understanding, as reflected in declining PISA scores. This study examines the potential of AI-based formative assessment (ChatGPT-Padlet) to support improvement in students’ conceptual understanding and a shift in their orientation from a focus on grades to a focus on process. Design/methodology/approach – This single-cycle classroom intervention, drawing on classroom-action-research procedures, involved 33 tenth-grade students in Project-Based Learning supported by a layered feedback system (AI, peers, and teachers). Data were collected through pre- and post-tests, Likert-scale attitude surveys, peer assessments, and qualitative reflections. Findings – The intervention produced a statistically significant improvement in conceptual understanding scores (Δ = 9.09 points; Wilcoxon Signed-Rank Test, Z = -1.93, p = 0.045, r = 0.34; paired t-test reported as a robustness check, p = 0.026) and a non-significant descriptive decrease in competitive orientation (Δ = -0.3; Wilcoxon p = 0.32), while process focus remained stable in mean (M = 3.5, Wilcoxon p = 0.77) with increased variability. Qualitative analysis showed that 67% of students could articulate internet concepts, and 58% showed indications of transfer of knowledge to practical decision-making in their self-reported reflections. Research implications/limitations –  The layered feedback ecosystem may offer a scalable approach to formative assessment in high teacher-student-ratio contexts, though this potential was not directly measured, and the single-cycle, short-duration design limits causal and longitudinal conclusions; further research requires longitudinal testing and more comprehensive deep learning metrics. Originality/value – This study offers an early empirical operationalization of process-oriented educational philosophy through an AI-peer-teacher triadic feedback model within the Indonesian Independent Curriculum context.
The Design of the CQR Information System: Predictive Quantitative Analytics Software for Research Nuur Wachid Abdul Majid; Muhammad Rafli; Pratama Benny Herlandy; Muhammad Nurtanto; Mohamed Nor Azhari Azman; Md Baharuddin Abdul Rahman; Khairul Azhar Mat Daud
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1541

Abstract

In the current digital era, quantitative data analysis remains a critical yet demanding stage of the research process, particularly for researchers without a strong statistical background. Complex analysis procedures, inconsistent method selection, and manual data handling increase the risk of human error and can threaten the validity of research findings. This study addresses this problem by designing and developing the CQR (Calculation of Quantitative Research) Application, a web-based predictive quantitative-analytics system intended to simplify statistical data processing for researchers regardless of their statistical expertise. The system was developed using the Research and Development (RD) method combined with the Waterfall model, comprising problem identification, data collection, system design, implementation, and testing, and was built using the Laravel 11 framework with a MySQL database. System design was guided by an analysis of functional and non-functional requirements and modelled using Use Case and Activity Diagrams. The developed system was evaluated through black-box testing across four core modules-user authentication and three data-upload calculator modules for the System Usability Scale (SUS). All eleven scenarios (100%) produced the expected output. A preliminary usability evaluation of the CQR Application itself, using the System Usability Scale with 32 student respondents, yielded a mean score of 76.09 (SD = 9.67), corresponding to an “Acceptable” rating and a curved grade of B. These findings indicate that the CQR Application is functionally reliable and perceived as usable, while quantitative benchmarking of analytical accuracy and processing time against established statistical software, together with a complementary User Experience Questionnaire evaluation, are identified as the immediate next steps for strengthening the system's scientific and practical contribution. The CQR Application is expected to help researchers, particularly those without extensive statistical training, conduct quantitative analysis that is more consistent, efficient, and credible.
Comparing Perceived Usability Across Online Coding Learning Platforms Using the System Usability Scale Lana, Muhammad Isfa'; Majid, Nuur Wachid Abdul; Azman, Mohamed Nor Azhari
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 2 (2026): July
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i2.4432

Abstract

This study evaluated and compared the perceived usability of three widely used online coding learning platforms—W3Schools, Coursera, and Udemy—among university students in Purwakarta, Indonesia. A quantitative, non-randomized, cross-sectional between-subjects design was employed using the System Usability Scale (SUS), with each participant evaluating one platform that they had previously used. The final sample comprised 120 students, with 40 participants in each platform group. Descriptive statistics, reliability analysis, normality testing, the Kruskal–Wallis test, epsilon-squared effect size, and supplementary Dunn pairwise comparisons with Bonferroni adjustment were applied. W3Schools obtained the highest mean SUS score (85.4) and was classified as “Best Imaginable,” whereas Udemy (82.4) and Coursera (80.9) were both classified as “Excellent.” Despite these descriptive differences, the Kruskal–Wallis test showed no statistically significant overall difference in perceived usability among the three platform-user groups (H = 2.472, p = .291). The corresponding epsilon-squared effect size was small (ε² = .021), and none of the Bonferroni-adjusted pairwise comparisons reached statistical significance. These findings indicate that all three platforms were perceived as highly usable by their respective user groups, while the observed numerical differences did not establish statistically significant platform superiority. The study contributes standardized comparative evidence on coding-platform usability within an Indonesian university context. Future research should incorporate larger and more diverse samples, explicitly measure prior platform experience, and combine subjective usability ratings with objective task-based measures and qualitative evidence.
Co-Authors Abdullah Nasih Ulwan Afika Rianti Afika Rianti Agitya Ratu Thifana Agus Muharram Ahmad Fauzi Ai Siti Nuratilah Aisyah Cinta Putri Wibawa Alfathin, Aulia Alfira Putri Febryanis Amron Rosyada Andina Aisyah Eka Jati Andri Pramuntadi Andrian, Rian Anggita Fitri Permatasari Anida Uswatun Hasanah Anis Hidayatul Ummah Ari Budi Riyanto Arlya, Zaky Khairul Fajar Asri Andriyani Oswita Aulia Abukhair Aulia Alfathin Aulia Alfathin Aulia Sodikin, Reisa Ayi Suherman Ayi Suherman Ayu Pangestu Ayu Permata Sari Azim, Fauzan Azman, Mohamed Nor Azhari Barri, Muhamad Akda Fathul Beni Ari Hidayatullah Cantika, Melvi Chairunnisa, Ananda Alma Chandra Motilal Cici Isnawati Dedi Setiawan Desti Setianingsih Deti Indah Kiranti Dian Permata Sari Dian Permata Sari Dian Permata Sari Dicka Assokawati Suryadi Diky Zakaria Dimas Aditama Dita Dwi Andriyani Diyan Anjani Dwi Octaviani Putri Elysa Nensy Irawan Endi Permata Fahrur Aslami Fakhirah Azhar Farhan Badrani Fasya Amalia Pitaloka Fatimah Nur Robiyah Fauzan Azim Fauzi , Ahmad Fitri Nuraeni Friska Amalia Ganesh Lindung Nusantara Gartika Dwi Jayanti Goro Fujita Hadi Putri, Dewi Indriati Hafiziani Eka Putri, Hafiziani Eka Hamzah, Muhammad Bilal Hashina Qiamu Mumtaziah Hendriyana Hendriyana Herlandy, Pratama Benny Hikmawan, Rizki Ilham Ramadhan Intan Dwiyanti Ismaya Febrianti Isnantyo, Fajar Danur Ivandio Zahran Bahy Kasmad, Mamad Khairul Azhar Mat Daud Khurilyn Jannah Ladayya, Ulfa Laila Fajriyanti Lana, Muhammad Isfa' Levy Husnul Lailina Linda Supriatin Liptia Venica Lutfi Haidar Ummah M. Sukarno Maharani, Nurnissa Masnur Maulana Yusuf Maulana Yusuf Md Baharuddin Abdul Rahman Meisha Humaira Fauziah Mila Oksanti Miladia Nurunnisa Mipta Miftahul Jannah Mochamad Bruri Triyono Moh Fauzan Fakhira Nasihin Mohamed Nor Azhari Azman Mohamed Nor Azhari Azman Mohamed Nor Azhari Azman Muhammad Dzikri Danuarteu Muhammad Iqbal Shaleh Muhammad Isfa’Lana Muhammad Khoirul Fajri Muhammad Musyaffa Muhammad Nurtanto Muhammad Nurtanto Muhammad Rafli Muhammad Raihan Zaki Muhammad Rizalul Wahid Mumtaziah, Hashina Qiamu Mustofa Abi Hamid Mutohhari, Farid Muzaitun Khoiriyah Nabila, Khansa Nabilah Azhar Nadia Tiara Antik Sari Nadia Tiara Antik Sari Nadzifah Nadzifah Najma Azzahro Aulia Naldi, Wahyu Naura Meyriska Neneng Sri Wulan Neng Dhenis Sukmawati Neng Riski Ayu Utami Neng Sholihat Nida Adilah Rahmah Nofrendy Azin Nopi Krisnawati Nova Mira Rizky Wulandari Noviyanti Nurjannah Nur Indah Septiani Nur Kholifah Nurfalah, Hana Nurkhotimah, Vidanisa Nurul Ilmi Ovie Ayunda Rahmaputri Isnawan Pahmi Pahmi Pahmi Pahmi Pahmi Pamungkas, Agung Satria Perdana, Zia Imam Pramudita, Reza Pratiwi, Irra Prestoza, Mark Jhon Ramos Puji Rahayu Puji Rahayu Putri Alina Sidik, Legira Putri Apriyanti Putu Sudira Rachma Wardani Rahel Sonia Ambarita Rahma Zaimatul Azhar Rania Roka Rasyad Amhar Ratih Suci Aryanti Rhezwan Dhaifullah Romdhoni Rhezwan Dhaifullah Romdhoni Rian Andrian Rima Irfiani Riska Riska Rizal Aglal Faozi Rizki Hikmawan Robi Ah Al Adawiyah Rochmah, Eliya Salma Ayunda Zahra Salsabila Aulia Choirunisa Sarah Agustin Sari, Dian Permata Sembiring, Vladio Sada Arihta Septi Sulistyorini Septy Qurrotu Aini Farradhillah Sholehah, Ragil Siti Siti Mariyam Siti Sripatimah Siti, Ragil Siti Sholehah Sodikin, Reisa Aulia Sofi Kamilatus Sa’diah Sofyan Iskandar, Sofyan Suprih Widodo Suprih Widodo, Suprih Suyitno Suyitno Syifa Aulia Azzahra Syifaul Fuada Tara Lestari Safitri Tati Sumiati Taufik Ridwan Taufik Ridwan, Taufik Teresia Ratna Calista Tuhfah Humaira Mufidah Tuhfah Humaira Mufidah Turmudi Ulfa Ladayya Ulwan, Abdullah Nasih WARJU Weby Khamelia Yohanes Adi Nugroho Yuniar, Rani Zhaza Nabila Zahra