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All Journal Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Pendidikan Matematika dan IPA Jurnal Konseling dan Pendidikan KONSELI: Jurnal Bimbingan dan Konseling (E-Journal) Rekursif: Jurnal Informatika Jurnal Pendidikan Fisika Jurnal Penelitian Pembelajaran Fisika JURNAL IQRA´ Al Ishlah Jurnal Pendidikan Jurnal Ilmiah Peuradeun JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Tadbir : Jurnal Studi Manajemen Pendidikan SEJ (Science Education Journal) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ilmiah Pendidikan Fisika Kinestetik : Jurnal Ilmiah Pendidikan Jasmani PENDIPA Journal of Science Education Edukasi Islami: Jurnal Pendidikan Islam JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) PROSIDING SEMINAR NASIONAL PROGRAM PASCASARJANA Jurnal Ilmu Fisika Kasuari: Physics Education Journal (KPEJ) Jurnal Kumparan Fisika Attractive : Innovative Education Journal International Journal of Educational Review EARR Journal of Innovation in Educational and Cultural Research Navigation Physics : Journal of Physics Education Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan Berkala Ilmiah Pendidikan DIKSAINS : Jurnal Ilmiah Pendidikan Sains Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) Smart Society: Community Service and Empowerment Journal Online Learning in Educational Research PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Jurnal Pemberdayaan Masyarakat Journal of Pedagogy and Education Science MIMBAR INTEGRITAS Dikdimas : Jurnal Pengabdian Kepada Masyarakat IJOEM: Indonesian Journal of Elearning and Multimedia Finger : Jurnal Ilmiah Teknologi Pendidikan Amplitudo: Jurnal Ilmu dan Pembelajaran Fisika PPSDP International Journal of Education International Journal of Innovation and Education Research Aktual : Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Teknologi Informasi dan Komunikasi Journal of Educational Technology and Learning Creativity Jurnal Pustaka Indonesia Indonesian Journal of Pedagogy and Teacher Education Journal of Social Work and Science Education Humaniorum Journal Journal of Primary Education Asian Journal of Science Education Journal of Early Childhood Development and Education International Journal of Advances in Artificial Intelligence and Machine Learning LINGUISTS : JOURNAL OF LINGUISTICS AND LANGUAGE TEACHING Digital Learning, Social Science, and Life-course Studies Journal of Education and Science (EDUSAINS) IJIS Edu : Indonesian Journal of Integrated Science Education International Journal of Sustainable Business, Management and Accounting International Journal of Food Sciences and Nutrition Innovations Journal of Nursing Management Innovations Journal of Sustainable Software Engineering and Information Systems JOURNAL of MATHEMATICS SCIENCE and EDUCATION Journal on Informatics Visualization and Social Computing Jurnal Penelitian Pembelajaran Fisika JOURNAL OF MATHEMATICS SCIENCE AND EDUCATION Journal of Science, Technology, and Social Innovation
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Project-Based Classroom Management Training Using Trello for Lecturers of the Nutrition Department of the Riau Ministry of Health Polytechnic Eko Risdianto; Falinda Oktariani; Irma Susan Paramita; Yuliana Arsil; Dewi Erowati; Yola Humaroh
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2023): Aktual: Jurnal Pengabdian Kepada Masyarakat September 2023
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v1i2.73

Abstract

Current development requires lecturers to improve their abilities and skills in using technology in learning. Skills improvement can be done, including through training activities. This activity aims to train Lecturers of the Nutrition Department of the Poltekkes Kemenkes Riau in conducting project-based class management using Trello.The activity was carried out in July 2023 at the Poltekkes Kemenkes Riau with a total of 15 workshop participants who were Lecturers from the Nutrition Department, Poltekkes Kemenkes Riau. The research instrument used was a closed questionnaire with 4 answer choices. The data analysis technique used is descriptive statistical analysis. Analysis of the participants' response to the trainingrelated to the training activities that have been carried outseen from the data obtained which is processed into the form of a percentage. Percentages are obtained based on modified Likert Scale calculations. The results showed that 100% of the training participants were categorized as strongly agreeing with the statements which represented a positive response to the workshop activities. So, it can be concluded that all participants considered this workshop positive and from this workshop the Lecturer of the Department of Nutrition at the Poltekkes Kemenkes Riau gained a better understanding of how and what Lecturers should do in managing project-based classes using trello.
How Do Students’ Cognitive Style Influence Their Mathematical Problem-Solving Thinking Procesess: A systematic Literature Review Eko Yandi Raharjo; Prismadian Amalia Putri; Sudarwan Danim; Eko Risdianto
Journal of Mathematics Science and Education. Vol 8 (2025): Penelitian kependidikan Matematika
Publisher : Universitas PGRI Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62112/journalofmathematicsscienceandeducation..v8i1.455

Abstract

This study aims to explore the influence of students' cognitive styles on the thought process in solving mathematical problems through a Systematic Literature Review (SLR) approach with PRISMA guidelines. Cognitive styles such as field-dependent vs. field-independent and reflective vs. impulsive are proven to influence the way students process information, represent mathematical concepts, and apply problem-solving strategies. A review of 10 selected articles showed that active learning models such as Project-Based Learning (PjBL) and Problem-Based Learning (PBL) are more effective when adapted to students' cognitive characteristics. Field-independent and reflective students tend to excel in analytical and logical thinking, while field-dependent and impulsive students perform better in collaboration when given appropriate scaffolding. The findings also suggest a link between cognitive styles and the development of 21st century skills, particularly critical thinking, creativity, communication and collaboration. This study recommends the importance of learning design that is responsive to individual differences to support the achievement of optimal learning outcomes.
Teaching Factory-Based Entrepreneurship Learning in Vocational High Schools: A Multi-Site Study of School-Industry Collaboration Lis Parida; Sudarwan Danim; Rendy  Wikrama Wardana; Eko Risdianto
Berkala Ilmiah Pendidikan Vol. 6 No. 2 (2026): Berkala Ilmiah Pendidikan
Publisher : Scidac Plus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51214/bip.v6i2.1910

Abstract

This study examines how entrepreneurship learning in vocational high schools is implemented through collaboration between schools and business and industry partners based on the Teaching Factory model. Using a qualitative multi-site design, the research was conducted in 16 vocational high schools across South Sumatra. Data were collected through observation, semi-structured interviews, and document analysis involving principals, curriculum or industry-relations vice principals, Teaching Factory coordinators, entrepreneurship teachers, productive teachers, industry partners, and students. The findings show that entrepreneurship learning within Teaching Factory is not merely a technical production practice but a learning system that connects school policy, curriculum integration, teacher roles, industry involvement, and students’ learning experiences. The depth of school-industry collaboration shapes the quality of students’ entrepreneurial learning, especially in developing discipline, responsibility, initiative, teamwork, self-confidence, and business orientation. Strong implementation is supported by leadership commitment, teacher collaboration, production units, and substantive partner involvement, while limited facilities, uneven industry participation, unstable practice schedules, and weak administration remain constraints. The study concludes that Teaching Factory should be positioned as an entrepreneurial learning ecosystem in vocational education.
Design and Development of An Android-Based Server Monitoring Application Using The aaPanel API with The Waterfall Method Teguh Rijanandi; Eko Risdianto; Mohammad Qais Rezvani
Journal on Informatics Visualization and Social Computing Vol. 1 No. 1 (2025): Journal on Informatics Visualization and Social Computing (JIVSC)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jivsc.v1i1.44

Abstract

Background of study: The evolution of cloud computing has transformed server management, yet many management interfaces remain web-based and are not optimized for mobile devices. aaPanel, a popular server control panel, also faces this challenge of providing a mobile-friendly monitoring experience. Aims and scope of paper: This research aims to design and build a mobile application named "aaPanel Mobile" to efficiently monitor vital server statistics on Android devices, addressing the gap in mobile accessibility for aaPanel users. Methods: The software development follows the Waterfall model, covering requirements, design, development, testing, deployment, and maintenance. The application was built using Expo React Native, integrates with the aaPanel API for data retrieval, and its functionality was verified through black-box testing. Result: Testing results confirmed that all primary functionalities were successfully implemented. The application correctly displayed resource usage statistics, provided real-time data updates, and listed websites as expected. Conclusion: The "aaPanel Mobile" application has met its design and functional objectives, proving to be a viable tool ready for use in a production environment to help administrators monitor servers from anywhere.
Bibliometric Analysis of Big Data Visualization and Visual Analytics in Social Media Analysis: Techniques, Tools, and Trends Eko Risdianto; Sultan Hammad Alshammari; Md Zahidul Islam
Journal on Informatics Visualization and Social Computing Vol. 1 No. 1 (2025): Journal on Informatics Visualization and Social Computing (JIVSC)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jivsc.v1i1.63

Abstract

Background of Study: Big data visualization and visual analytics are essential in social media analysis because they help process large and complex data into more understandable information. With this technique, we can identify patterns, trends, and relationships in social media data, such as user interactions and social influences, that are difficult to analyze without visualization tools. This allows for faster, more accurate, and in-depth analysis, and helps with data-driven decision-making in a variety of areas. Aims and Scope of Paper:  The purpose of this paper is to review the literature related to big data visualization and visual analytics in the context of social media, using bibliometric analysis methods to identify current trends, techniques used, and important tools. Methods: This study used a bibliometric design to analyze the literature in the Scopus database with three main keyword combinations: "Big Data Visualization" AND "Social Media Analysis", "Visual Analytics" AND "Bibliometric Analysis", as well as "Data Visualization" AND "Social Media Analytics". The literature analyzed consisted of journals published between 2015 and 2025.  After data collection, filtering is carried out using OpenRefine to eliminate bias and duplication, ensure the accuracy and validity of the data, resulting in objective insights into trends in data visualization and social media analytics. Results: A summary of key findings on the most widely used techniques and tools in big data visualization on social media. Conclusion: Closing on the contribution of bibliometric analysis in understanding the development of big data visualization in social media research.
Development of an Eye Care Chatbot Based on Llama 3.2 1B Using 4-bit QLoRA Technique Teguh Rijanandi; Eko Risdianto
Journal on Informatics Visualization and Social Computing Vol. 2 No. 1 (2026): Journal on Informatics Visualization and Social Computing (JIVSC)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jivsc.v2i1.220

Abstract

Background: The ratio of ophthalmologists to the population in Indonesia is extremely low, leading to unequal access to eye care and making it difficult for the public to obtain early information regarding eye symptoms.Aims: This study aims to develop and validate an efficient, domain-specific eye care chatbot using the Llama 3.2 1B Instruct model, focusing on an optimal fine-tuning pipeline for limited hardware constraints.Methods: Utilizing an Experimental Research (Model Development) design, a QLoRA 4-bit quantization technique was applied on a Google Colab T4 GPU (15.64GB VRAM). The training dataset comprised 16,742 samples from Kaggle Eye Care and MedQuad Indonesian Translation, with a subset of 5,000 samples used for experiments.Result: After training for 3 epochs (750 steps), the Training Loss decreased from 1.3394 to 0.7188 (46.3% improvement), while Perplexity reached 2.3620, categorized as excellent. The model maintained stability with a final gap of 0.1407 between training and validation loss.Conclusion: The Meta-Llama 3.2 1B Instruct model, fine-tuned with 4-bit QLoRA, is highly effective for building a domain-specific healthcare chatbot, successfully operating within an 8GB VRAM limit while maintaining high generalization capabilities.
Adaptive Curriculum Learning for Accelerating Convergence in Data-Driven Model Training Eko Risdianto; Muhammet Esad Kuloğlu; Maria Ulfa
International Journal of Advances in Artificial Intelligence and Machine Learning Vol. 3 No. 2 (2026): International Journal of Advances in Artificial Intelligence and Machine Learni
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijaaiml.v3i2.863

Abstract

Background: Efficient training of machine learning models remains a critical challenge in data-driven artificial intelligence systems, particularly when training samples vary in difficulty, noise level, and representational complexity.Aims: This study proposes and evaluates an adaptive curriculum learning framework that accelerates convergence in machine learning model training by dynamically adjusting sample ordering based on the model's evolving competence.Methods: The proposed approach introduces a feedback-driven curriculum mechanism that integrates difficulty estimation and model competence evaluation. Training samples are initially ranked by estimated difficulty and are progressively updated during training using validation-based performance signals. Experiments are conducted on three benchmark datasets, including UCI Adult Income, Breast Cancer Wisconsin, and CIFAR-10, using multilayer perceptron and convolutional neural network architectures. The framework is compared against random sampling, static curriculum learning, and hard-first sampling strategies. Performance is evaluated based on convergence speed, predictive accuracy, robustness to noise, class imbalance handling, and computational overhead.Result: The proposed adaptive curriculum learning framework consistently accelerates convergence across all datasets compared to baseline methods. The model achieves faster stabilization of training dynamics while maintaining or slightly improving predictive performance on accuracy, F1-score, and AUC. Furthermore, the framework demonstrates improved robustness under noisy-label conditions and class-imbalance scenarios, with reduced performance degradation compared to conventional sampling strategies. The computational overhead introduced by the adaptive mechanism remains minimal compared with the gains in training efficiency.Conclusion: The study concludes that aligning sample ordering with evolving model competence significantly improves training efficiency in machine learning systems.
Development of E-Module Materials of Quantities and Units Using Canva to Increase Students' Interest in Learning Dinda Wulandari; Eko Risdianto; Iwan Setiawan
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 1 (2022): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v1i1.27

Abstract

This study aims to determine the characteristics and feasibility of developing an e-module using the Canva application to increase the learning interest of high school students. This research is a follow-up research that has been done previously which is only limited to the analysis stage, this research uses the ADDIE model RnD method. But in this research, it is only up to the development stage. This study uses an expert validation sheet assessment instrument that contains aspects of material, language and media. Based on the results of product validation tests that were validated by experts so that the percentage score for the material aspect was 85.45%, language was 87.50%, media was 89.58%, and interest in learning was 90.63%. The final result of the average score is 88.28%, can be categorized as very valid and the results of the student's perception response show very well with a percentage of 86.23%. Therefore, the e-module material of magnitude and unit using Canva to increase the learning interest of high school students is declared as a product that is feasible to use.
Response about the Importance of Digital Marketing Skills for Vocational Teachers Firdaus Firdaus; Sungkem Tri Wahyuni; Eko Risdianto
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 1 (2022): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v1i1.34

Abstract

This study aims to analyze responses about the importance of digital marketing skills for vocational teachers. This type of research is survey research using quantitative research methods. The sample in this study were 41 teachers at SMKN 2 North Bengkulu. The research was conducted in November 2022. The data collection technique used a questionnaire so that the measuring tool was a questionnaire made with a modified Likert scale with 4 answer choices, namely strongly agree, agree, disagree, and strongly disagree. The results of the study show that digital marketing skills are important for vocational teachers.
Analysis of the Implementation of Project Based Learning Learning Models in Improving Students' Digital Literacy Through Digital Content Creation Training at SMAN 3 Bengkulu Tengah Eko Risdianto; Enton Apiri
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 1 (2022): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v1i1.35

Abstract

This study aims to analyze the implementation of the project based learning model in improving students' digital literacy through training in digital content creation. This type of research is survey research. The study was conducted in October 2022. The research sample was 27 students from SMAN 3 Bengkulu Tengah. Sampling is done by purposive sampling technique. The research instrument used was a closed questionnaire consisting of 18 positive statementswhich was developed in the form of a modified Likert Scale with 4 answer choices, namely strongly agree, agree, disagree and strongly disagree.The data analysis technique used is descriptive statistical analysis. The results showed that the implementation of the project-based learning model through digital content creation training activities carried out at SMAN 3 Bengkulu Tengah was able to add insight and skills, especially from practitioners of digital content creation.
Co-Authors Abdu, Muhammad Adityas Agung Ramandani Adlan, Amel Zulfukar Hassan Afrizal Mayub Afrizal Mayub Agus Riyanto Agus Riyanto Ahmad Muhaimin Ahmad Syarkowi Ahmad Syarkowi Ahmad Zabidi Abdul Razak Aileen H. Abelgos Albet Karuniawan Alexon Alexon Alexon Alexon Alfian Meidy Anes Alfin Julianto Amalia, Sabila Henfi Amel Zulfukar Hassan Adlan Andik Purwanto Andik Purwanto Andik Purwanto Angga Permana Anisa Hasanah Arif Budiman Arsela Eko Listiono Asahar Johar Asmara, Adi Asmara, Adi Aulia Nurmalinda Hapsari Avazovna, Usmanova Shokhsanam Badeni Badeni Badeni Badeni, Badeni Bambang Sahono Bebby Rino Oksatianti Bebby Rino Oksatianti Bhakti Karyadi Bily Pratama Putra Bodi Gunawan Bodi Gunawan Bodi Gunawan Bogy Restu Ilahi Bukman Lian, Bukman Cahya Widya Gunawan Cahyani, Diana Eka Catra Indra Cahyadi Christina Brown Cindi Nabila Utami Connie Connie Connie Connie Connie Meizul Connie, Connie Dedy Hamdani Dedy Hamdani Dedy Hamdani Dedy Hamdani Dedy Hamdani Defianti, Aprina Deki Saputra Deki Saputra Della Panoreka Deni Haryadi Deni Parlindungan Deshinta Arrova Dewi Deshinta Arrova Dewi Destriani Desty Asriyani Fera Indriyati Desvi Wahyuni Dewi Erowati Dewi Jumiarni Diana Eka Cahyani Dicky Agoeng VP Didi Suryadi Dimas Lingga Iswara Dina Puspita Dinda Wulandari Dwi Syafitri, Lola Efrizal, Dedi Eka Nur Indah Septioningrum Eko Sumartono, Eko Eko Yandi Raharjo Elda Handayani Elda Sari Siregar Elsa Viona Endang Endang, Endang Endang Widi Winarni Endang Widi Winarni Enton Apiri Erma Novela Fadillah Eka Nuranisa Falinda Oktariani Fathurochman, Irwan Fauziah Nur Febriani, Hanura Firdaus Firdaus Fitri April Yanti Fitri April Yanti, Fitri April Fitri Masito Fitria, Jeni Fitryantica, Agnes funny farady Coastera Funny Farady Coastera, Funny Farady Gina Marianda Gunarti, Gunarti Gunawan, Cahya Widya Guntur Gunawan Hamed Barjesteh Handayani, Elda Handayani, Rinda Fitri Hanifa Nurahmi Hanisa Putri, Desy Hapsari, Aulia Nurmalinda Harnisa, Sehli Haryadi Adhan Haryanti, Annisa Bella Hendra Jondri Hiskya Heni Pujiastuti Henny Johan Henny Johan Henny Johan Hera Anis Kartika Herfiza Nia Febriani Herlambang, Arthur Muhamad Taufan Herma Kurnia Putri Heryensi, Elza Hidayat, Sholeh Husni Husni I Gede Ratnaya I Gusti Agung Ayu Mas Oka I Gusti Agung Ayu Mas Oka I Wayan Dharmayana Inas Zhafirah Inda Tri Pasa Irayadi, Muhamad Irkhos Irkhos Irma Susan Paramita Irwan Fathurrochman Irwan Fathurrochman Irwan Fathurrochman, Irwan Irwan Koto iswara, Dimas lingga Iwan Setiawan Iwan Setiawan Iwan Setiawan Jeni Fitria Jeni Fitria Johan, Septi Johanes Sapri Johanes Sapri, Johanes Joselin Santos Joseline Santos Kartika, Hera Anis Kelimsa Tarigan Khairi, Azizatul Kurniaty, Rikha Kusen Kusen Kusen Kusen Kusen Kusen Kusen Kusen, Kusen Laura Mahendratta Tjahjono Lis Parida M. Abdilah Hananta Wijaya M. Abdul Jamal M. Abdul Jamal M. Abdul Jamal M. Esad Kuloğlu Macariola, Julie Simon Mageswaran Sanmugam Mageswaran Sanmugam Mageswaran Sanmugam Maharani, Puan Aisyah Mahmudin, Rinaldy Mahyuddin, Meriwati Maida Oktalia Maria Ulfa Masito, Fitri Mayub, Afrizal Md Zahidul Islam Medriati, Rosane Mehdi Manoochehrzadeh Meirani Meirani Meizul Zuki Meylani Utami Meylinda, Mifta Miya Novitasari Mohammad Qais Rezvan Mohammad Qais Rezvani Mohammad Qais Rezvani Mohammad Qais Rezvani Mohammad Qaiz Rezvani Mona Ardina Mu'hamad Asfi Romdon Muhammad Adamu Abubakar Muhammad Ataurrahman Aqil Muhammad Kristiawan Muhammad Kristiawan Muhammad Parli Muhammad Soleh Fudin Muhammet Esad Kuloğlu Murni Yanto Mustika Zahfira Utami Nanik Setyowati Netriani Veminsyah Ahda Niken Parnia Norda Nina Anindyawati Nina Nirwana, Nirwana Noel Lomerio Noel Lomerio Nofriansyah Nofriansyah Nora Asmirna Nova Yustisia Nur, Ilham Muhammad Nuranisa, Fadillah Eka Oddie Barnanda Rizky Oddie Barnanda Rizky Okta Briyanti Mila Sari Oktaria Rahayu Oktavia, Titin Oktaviyani Rosniadi Pratama Oktaviyani Rosniadi Pratama Osa Juarsa Osa Juarsa Pancarani, Dwi Ayu Parlindungan, Deni Parwito Parwito Parwito Pazah, Guti Ameda Prananosa, Ahmad Gawdy Prismadian Amalia Putri Puri Maharani Putri Wiji Rahayu Putri Wiji Rahayu Putri, Desy Hanisa Putri, Desy Hanisa Putri, Herma Kurnia Putri, Rendi Zulni Eka Raden Gamal Tamrin Kusumah Rahmat Hidayat Rahmat Hidayat Rahmat Hidayat Rahmayanti, Dinda Ramandani, Adityas Agung Rambat Nur Sasongko Rendi Zulni Eka Putri Rendra Cipta Rendy  Wikrama Wardana Ressti Nurfitriani Rince Aida Rostika Rince Aida Rostika Rini Sadiatmi Rita Erlina Rita Erlina Rita Erlina, Rita Rita Sinthia Riyanto Riyanto Riyanto Riyanto Riyanto Rojai Zhofir Rosane Medriati Rosane Medriati Rosane Medriati Rosmala Dewi Rumahlatu, Alvaro Rusdi Efendi Sanjaya, Eka Wahyu Saputra, Toha Achmad Sartika, Rita Sembiring, Berlian Garuda Septi Johan Septian Raibowo Septian Raibowo Septiana, Eliza Shofi Nurul Insani Sianturi, Immanuel Ivan Sipriyadi Siswanto Siswanto Siswoyo, Joan Siti Latifah soraya, indah Sudarwan Danim Sudirman Sudirman Sultan Hammad Alshammari Sultan Hammad Alshammari Sultan Hammad Alshammari Sungkem Tri Wahyuni Sungkem Tri Wahyuni Suryani Suryani Sutarno Sutarno Sutrisno, Sutrisno Syaiful Bahri Syarkowi, Ahmad Syisva, Syisva Teguh Rijanandi Tetes Wahyu Witradharma Thai Ky Trung Pham Tiara Dwi Fortuna Titin Aprilatutini Tri Basuki Kurniawan Tri Yulistia Tri Yunita Triani, Deswinta Uliyandari, Mellyta Usmanova Shokhsanam Avazovna Veby Penyustia Veni Fahrenda Vivi Yuliantari Wachidi Wachidi Wahyu Widada Wardana, Rendy Wikrama Widiasih, Widiasih William Yeoh Wulandari, Dinda Yanti Daryanti Yeti Komalasari Yola Humaroh Yuliana Arsil Yulistia, Tri Yuliza Andriyani Siregar Yunita Rahmani Yusran Hasymi Yusupov Komaliddin Bakhtiyor Ugli Yuyun Yumiarty Zuki, Meizul