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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 Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran 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 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 Jurnal Penelitian Pembelajaran Fisika 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 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
Eko Risdianto
Program Studi Pendidikan Fisika FKIP Universitas Bengkulu
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Transportation Other

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Software and Information Systems for Sustainability: A Systematic Literature Review of Models, Applications, and Evaluation Metrics Deki Saputra; Eko Risdianto; Mohammad Qais Rezvani; Putri Wiji Rahayu
Journal of Sustainable Software Engineering and Information Systems Vol. 2 No. 1 (2026): Journal of Sustainable Software Engineering and Information Systems
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jsseis.v2i1.160

Abstract

Background: The existing literature on sustainable software and information systems is fragmented, with research often siloed into specific models, applications, or evaluation metrics without a cohesive overview. This fragmentation hinders the development of a unified understanding necessary for researchers, practitioners, and policymakers to effectively implement sustainability principles. Aims: This study aims to systematically analyze and synthesize research on software and information systems for sustainability. Its scope is to identify the dominant models, primary application domains, and key evaluation metrics used in the field to establish a consolidated understanding and guide future efforts. Methods: A Systematic Literature Review (SLR) following PRISMA screened 314 Scopus documents (2017–2026) to 25 articles, analyzed using Biblioshiny, VOSviewer, and thematic synthesis. Result: The analysis reveals a field in a consolidative phase, dominated by systematic review-based research (76%) focused on theoretical synthesis. While geographically diverse, the research centers on "sustainability" and "information systems" as core themes. A critical gap exists between conceptual frameworks and practical application, evidenced by a scarcity of empirical studies (only 4% quantitative) and the absence of standardized evaluation metrics. Conclusion: This review concludes that while significant progress has been made in mapping the conceptual landscape, the field of software and information systems for sustainability must now prioritize empirical validation, the development of AI-driven systems, and the establishment of uniform measurement standards to bridge the gap between theoretical promise and tangible real-world outcomes.
Enhancing Aviation Safety: The Role of Mentorship and Coaching in Developing Skilled Pilots and Ground Crew Rini Sadiatmi; Catra Indra Cahyadi; Inda Tri Pasa; Fauziah Nur; Eko Risdianto; Fadillah Eka Nuranisa
Smart Society Vol. 5 No. 2 (2025): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v5i2.854

Abstract

Aviation safety is heavily influenced by the quality of human resources, particularly pilots and ground crew. Although technology has advanced significantly, human error remains the primary cause of aviation accidents; therefore, strengthening both technical and non-technical competencies through effective human resource development strategies is essential. This study aims to explore the role of mentorship and coaching in improving aviation safety by enhancing the technical and non-technical skills of pilots and ground crew. The study employed a systematic literature review (SLR) approach based on PRISMA guidelines. Of the 194 studies initially identified, 34 articles met the inclusion criteria and were analyzed in depth using VOSviewer and Biblioshiny for thematic mapping and bibliometric visualization. The findings indicate that mentorship is effective in fostering a culture of safety, confidence, and professionalism, while coaching enhances technical performance through structured feedback and simulation-based approaches. Approximately 35% of the reviewed studies reported improvements in non-technical skills, while 26% demonstrated positive impacts on safety outcomes. The integration of mentorship and coaching forms a holistic competency framework that positively influences operational safety. This study concludes that mentorship and coaching are strategic instruments for enhancing aviation safety and should be systematically integrated into formal aviation training programs. This research contributes to the aviation safety literature by synthesizing evidence-based mentorship and coaching practices and providing practical guidance for developing integrated human resource development frameworks within the aviation industry.
Unveiling the Dual Nature of AI in Grading: A Systematic Review of Benefits and Mitigation Strategies for Algorithmic Bias Eko Risdianto; Rince Aida Rostika; Ahmad Zabidi Abdul Razak; Hera Anis Kartika; Jeni Fitria
Online Learning In Educational Research (OLER) Vol. 5 No. 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.695

Abstract

The use of Artificial Intelligence (AI) in educational evaluation optimizes learning outcomes. This research seeks to address the advantages and difficulties of implementing AI within academic evaluation frameworks with particular emphasis on the algorithmic bias problem and its implications for fairness in education. The absence of a thorough grasp of algorithmic bias, particularly how it can be utilized as a weapon against equitable education, reveals an important gap. We conduct a Systematic Literature Review (SLR) and bibliometric analysis on 121 articles sourced from Scopus published between 2021 to 2025 to trace the trends and examine the impacts and biases of AI on grading systems. The data demonstrates a significant increase in publications beginning 2018, concentrating on topics such as educational applications of AI, automated grading systems, and machine learning. The findings further indicate that though AI improves efficiency and consistency of the evaluations, it heightens the chances of biased outcomes because of non-diverse training data, prejudiced developers, and socio-cultural frameworks that could worsen the situation for already marginalized learners. In summary, this study highlights the critical gaps in bias mitigation strategies arising from the lack of ethical design frameworks, antecedent-free algorithms, and educator prep courses aimed at combating bias. These outcomes serve as benchmarks for the creation of more reliable and comprehensive AI systems for assessments and shift subsequent investigations to focus validation on different cultures and the incorporation of just AI design paradigms
Development of eXeLearning-assisted E-Modules to Improve Students' Understanding of Uniformly Accelerated Motion Concepts Erma Novela; Eko Risdianto; Rosane Medriati
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6179

Abstract

This study aims to describe the feasibility of eXeLearning-assisted e-modules on Uniformly Accelerated Motion material and describe increasing students' understanding of concepts after using eXeLearning-assisted e-modules on Uniformly Accelerated Motion material. The method used in this study is the Research and Development method with the ADDIE model. The subjects of this study were 32 students of class XI H SMAN 3 Kota Bengkulu. The data collection techniques are observation, interviews, expert validation, and tests. From the results of research conducted on the feasibility test, the results were obtained the average percentage of 5 aspects is 98.40% with a very decent category. Test results to determine the increase in students' understanding of the concept of eXeLearning-assisted e-modules on Uniformly Accelerated Motion material using N-gain calculations obtained an average pretest score of 52.31 and a posttest average of 91.40 and N-gain 0.81 of the high category. Thus, it can be concluded that after learning carried out using eXeLearning-assisted e-modules, there is a high increase in students' understanding of concepts in Uniformly Accelerated Motion material class XI SMAN 3 Kota Bengkulu
The Role of Artificial Intelligence in Enhancing Sustainable Accounting and ESG Reporting: A Systematic Literature Review Eko Risdianto; Amel Zulfukar Hassan Adlan; Usmanova Shokhsanam Avazovna
International Journal of Sustainable Business, Management and Accounting Vol. 2 No. 1 (2026): International Journal of Sustainable Business, Management, and Accounting (IJSB
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijsbma.v2i1.170

Abstract

Background of study: The increasing demand for sustainability and transparency has strengthened the role of sustainable accounting and Environmental, Social, and Governance (ESG) reporting in modern business practices. However, traditional reporting systems face significant challenges in managing complex, large-scale, and heterogeneous ESG data, leading to limitations in accuracy, consistency, and timeliness. Although artificial intelligence (AI) has been widely adopted in financial analysis, its application in sustainable accounting and ESG reporting remains fragmented and underexplored. Aims: This study aims to provide a comprehensive and structured analysis of the role of AI in enhancing sustainable accounting and ESG reporting. Methods: This study employs a Systematic Literature Review (SLR) using the PRISMA framework, combined with bibliometric analysis. Data were collected from the Scopus database using three keyword strategies and filtered based on predefined inclusion criteria. The dataset was cleaned using OpenRefine and analyzed using VOSviewer and Biblioshiny to explore research trends, thematic structures, and intellectual development. Result: The results show that AI technologies, particularly machine learning, natural language processing, and big data analytics, significantly improve ESG data processing, reporting efficiency, and predictive decision-making. However, ESG reporting practices remain fragmented, lack standardization, and are often implemented in isolated contexts. Conclusion: This study contributes by integrating AI, sustainable accounting, and ESG reporting into a unified perspective supported by systematic and bibliometric analysis. The findings highlight the potential of AI to enhance transparency and efficiency in sustainability reporting, while emphasizing the need for integrative frameworks and empirical validation in future research.
Software and Information Systems for Sustainability: A Systematic Literature Review of Models, Applications, and Evaluation Metrics Deki Saputra; Eko Risdianto; Mohammad Qais Rezvani; Putri Wiji Rahayu
Journal of Sustainable Software Engineering and Information Systems Vol. 2 No. 1 (2026): Journal of Sustainable Software Engineering and Information Systems
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jsseis.v2i1.160

Abstract

Background: The existing literature on sustainable software and information systems is fragmented, with research often siloed into specific models, applications, or evaluation metrics without a cohesive overview. This fragmentation hinders the development of a unified understanding necessary for researchers, practitioners, and policymakers to effectively implement sustainability principles. Aims: This study aims to systematically analyze and synthesize research on software and information systems for sustainability. Its scope is to identify the dominant models, primary application domains, and key evaluation metrics used in the field to establish a consolidated understanding and guide future efforts. Methods: A Systematic Literature Review (SLR) following PRISMA screened 314 Scopus documents (2017–2026) to 25 articles, analyzed using Biblioshiny, VOSviewer, and thematic synthesis. Result: The analysis reveals a field in a consolidative phase, dominated by systematic review-based research (76%) focused on theoretical synthesis. While geographically diverse, the research centers on "sustainability" and "information systems" as core themes. A critical gap exists between conceptual frameworks and practical application, evidenced by a scarcity of empirical studies (only 4% quantitative) and the absence of standardized evaluation metrics. Conclusion: This review concludes that while significant progress has been made in mapping the conceptual landscape, the field of software and information systems for sustainability must now prioritize empirical validation, the development of AI-driven systems, and the establishment of uniform measurement standards to bridge the gap between theoretical promise and tangible real-world outcomes.
Transfer Learning Effectiveness Across Domain Similarity Levels in Data Science Applications Eko Risdianto; Thai Ky Trung Pham; William Yeoh; Sultan Hammad Alshammari
International Journal of Advances in Artificial Intelligence and Machine Learning Vol. 3 No. 1 (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.v3i1.656

Abstract

Background: Transfer learning has become increasingly prominent in data science due to the challenges posed by limited labeled data and distribution shifts between training and deployment environments. However, the success of transfer learning depends significantly on the structural compatibility between source and target domains.Aims: This study aims to investigate the relationship between domain similarity and transfer learning performance using an experimental framework termed Similarity-Aware Transfer Evaluation (SATE).Methods: Twelve pairs of benchmark datasets were selected to simulate varying levels of domain similarity and were made publicly available. Domain similarity was computed using Maximum Mean Discrepancy (MMD) in the learned representation space. Transfer performance was measured using a predefined Transfer Gain metric under bounded fine-tuning strategies. Correlation analysis and statistical testing were conducted to examine the relationship between similarity scores and transfer effectiveness, while fine-tuning depth was analyzed in relation to similarity magnitude.Result: The results demonstrate a strong positive correlation between domain similarity and transfer gain (r = 0.83, p < 0.01), indicating that approximately 69% of performance variability can be explained by similarity-based transfer effects. Negative transfer was observed when similarity scores were S ≤ 0.41. Furthermore, higher similarity levels were associated with deeper and more stable fine-tuning, whereas lower similarity resulted in increased instability during adaptation. These findings establish similarity as a structural compatibility constraint in transfer learning.Conclusion: The study confirms that domain similarity plays a fundamental role in determining transfer learning success. By operationalizing similarity measurement and linking it to performance thresholds, the proposed SATE framework provides a structured method for evaluating transfer feasibility in real-world data science applications.
Human-AI Collaboration in Scientific Writing Training: A Quantitative Evaluation of Learning Effectiveness and Academic Integrity Eko Risdianto; Nanik Setyowati; Mohammad Qaiz Rezvani; M. Abdul Jamal; Mageswaran Sanmugam; M. Esad Kuloğlu
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v4i2.728

Abstract

Background: The rapid advancement of Artificial Intelligence (AI) has significantly transformed academic writing practices, offering both opportunities and ethical challenges, particularly related to plagiarism and over-reliance on automated tools.Objectives: This study aims to evaluate the effectiveness of AI-assisted scientific writing training in enhancing participants’ writing skills, academic integrity awareness, and writing efficiency through a Human-AI Collaboration approach.Methods: A quantitative descriptive method was employed using a structured questionnaire consisting of 20 Likert-scale items administered to 85 participants. The instrument measured five dimensions: relevance and conceptual understanding, instructional quality, writing skill improvement, academic integrity awareness, and perceived impact. Data were analyzed using descriptive statistics, including mean scores and percentage distributions.Results: The findings reveal that the training achieved a very high level of effectiveness, with an overall mean score of 3.59. All variables were categorized as very high, with academic integrity awareness obtaining the highest mean score (3.70), indicating strong improvement in ethical understanding. Writing skill improvement showed relatively lower scores, suggesting the need for continuous practice.Conclusion: AI-assisted scientific writing training based on the Human-AI Collaboration framework is highly effective in improving scientific writing competence and promoting ethical awareness. This approach provides a balanced model integrating technical skills and academic integrity in AI-supported writing practices.
Profil Keterampilan Proses Sains Siswa pada Materi Momen Inersia di SMAN 8 Kota Bengkulu Herfiza Nia Febriani; Ahmad Syarkowi; Eko Risdianto
Jurnal Pendidikan Fisika Vol. 14 No. 2 (2025)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpf.v14i2.69030

Abstract

Penelitian ini merupakan penelitian deskriptif kuantitatif dengan metode Cross Sectional Survey yang bertujuan untuk mendeskripsikan profil keterampilan proses sains siswa pada materi momen inersia di SMAN 8 Kota Bengkulu. Populasi dalam penelitian ini adalah siswa kelas XI IPA SMAN 8 Kota Bengkulu yang berjumlah 127 orang dengan sampel penelitian yang terdiri dari kelas XI IPA 2 sebanyak 30 orang dan XI IPA 3 sebanyak 32 orang. Pengambilan sampel dilakukan secara random sampling. Instrumen yang digunakan adalah tes pilihan ganda yang telah diuji validitas, reliabilitas, tingkat kesulitan,dan daya beda butir soal-nya dengan Model Rasch. Instrumen tersebut memenuhi kriteria kualitas butir soal. Hampir semua butir soal berada dalam rentang kesesuaian yang diharapkan, sehingga hasil penelitian dapat dipercaya karena didukung oleh instrumen yang valid dan berkualitas. Berdasarkan hasil analisis data penelitian, Secara keseluruhan keterampilan proses sains siswa SMAN 8 Kota Bengkulu pada materi momen inersia berkategori cukup terampil dengan persentase rata-rata 53,79%. Sedangkan  untuk setiap indikatornya yakni indikator observasi memperoleh  48,39%, indikator klasifikasi 47,58%, indikator interpretasi 43,55%, indikator prediksi 35,89%, yang seluruhnya berada pada kategori cukup terampil, sementara indikator komunikasi berkategori sangat terampil dengan persentase rata-rata 93,55%.  
Application of the ADDIE Model in Developing Interactive Learning Multimedia for Coding and AI Subjects at the Primary School Level: A Systematic Literature Review Rojai Zhofir; Eko Risdianto; Muhammad Kristiawan
Journal of Primary Education (JPE) Vol 6, No 1 (2026): JUNE
Publisher : Universitas Islam Negeri Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/jpe.v6i1.10957

Abstract

This study aims to systematically analyze scientific literature regarding the application of the ADDIE model in developing interactive multimedia for Coding and AI subjects at the primary school level, identifying research trends, best practices, and gaps requiring further academic attention. The study adopts a Semantic Literature Review (SLR) approach incorporating systematic mapping and semantic analysis. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol was applied to select articles from Scopus, Web of Science, ERIC, and IEEE Xplore databases. A total of 47 Scopus-indexed journal articles (2015–2025) were analyzed using thematic synthesis and conceptual mapping techniques. The analysis reveals a significant increase in the application of the ADDIE model for interactive multimedia development, with a primary focus on the Development phase, which integrates AI tools for content acceleration. Key findings include: (1) a dominance of asynchronous e-learning approaches (70%) in implementation; (2) the integration of multimedia presentations through short films (35%) as a best practice; (3) a critical need for a comprehensive AI literacy framework for educators; and (4) a research gap in long-term evaluations of learning effectiveness. The ADDIE model proves effective as a systematic framework for developing Coding and AI learning multimedia in primary schools; however, it requires adaptation through generative AI integration and agile approaches to remain responsive to rapid technological advancements. Future research should focus on developing valid and reliable assessment tools to measure AI literacy in primary school students. 
Co-Authors Abdu, Muhammad Adityas Agung Ramandani Adlan, Amel Zulfukar Hassan Afrizal Mayub Afrizal Mayub Agus Riyanto Ahda, Netriani Veminsyah Ahmad Syarkowi Ahmad Syarkowi Ahmad Zabidi Abdul Razak Alexon Alexon 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 Apiri, Enton Aqil, Muhammad Ataurrahman Ardina, Mona Arif Budiman Arsela Eko Listiono Asahar Johar Asmara, Adi Asmara, Adi Aulia Nurmalinda Hapsari Avazovna, Usmanova Shokhsanam Badeni Badeni Badeni Badeni, Badeni Bebby Rino Oksatianti Bebby Rino Oksatianti Bhakti Karyadi Bily Pratama Putra Bodi Gunawan Bodi Gunawan Bogy Restu Ilahi Bukman Lian, Bukman Cahya Widya Gunawan Cahyani, Diana Eka Catra Indra Cahyadi Chandra, Muhammad Fiqih Rizqi Christina Brown Connie Connie Connie Connie Connie Meizul Connie, Connie Dedy Hamdani Dedy Hamdani Dedy Hamdani Dedy Hamdani Dedy Hamdani Defianti, Aprina Deki Saputra Della Panoreka Deni Haryadi Deni Parlindungan Deshinta Arrova Dewi Destriani Desty Asriyani Fera Indriyati Dewi Erowati, Dewi Dicky Agoeng VP Didi Suryadi Dimas Lingga Iswara Dina Puspita Dwi Syafitri, Lola Efrizal, Dedi Eka Nur Indah Septioningrum Eko Sumartono, Eko Elda Handayani Elda Sari Siregar Elsa Viona Endang Endang, Endang Endang Widi Winarni Endang Widi Winarni Erma Novela Fadillah Eka Nuranisa Farooque, Sm Fathurochman, Irwan Fauziah Nur Febriani, Hanura Firdaus Firdaus Fitranita, Vika 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 Gushevinalti, Gushevinalti 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 Humaroh, Yola 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 Irwan Fathurrochman Irwan Fathurrochman Irwan Fathurrochman, Irwan Irwan Koto, Irwan iswara, Dimas lingga Iwan Setiawan Iwan Setiawan Jeni Fitria Johan, Septi Johanes Sapri, Johanes Joselin Santos Juliarti, Endasyari Jumiarni, Dewi Kartika, Hera Anis Karuniawan, Albet Khairi, Azizatul Kurniaty, Rikha Kusen Kusen Kusen Kusen Kusen Kusen Kusen Kusen, Kusen Kusumah, Raden Gamal Tamrin M. Abdul Jamal M. Abdul Jamal M. Abdul Jamal M. Esad Kuloğlu Macariola, Juli Simon Macariola, Julie Simon Mageswaran Sanmugam Mageswaran Sanmugam Mageswaran Sanmugam Maharani, Puan Aisyah Mahmudin, Rinaldy Mahyuddin, Meriwati Maida Oktalia Masito, Fitri Mayub, Afrizal Medriati, Rosane Mehdi Manoochehrzadeh Meirani Meirani Meizul Zuki Meylani Utami Meylinda, Mifta Miya Novitasari Mohammad Qais Rezvan Mohammad Qais Rezvani Mohammad Qais Rezvani Mohammad Qaiz Rezvani Mu&#039;hamad Asfi Romdon Muhaimin, Ahmad Muhammad Adamu Abubakar Muhammad Kristiawan Muhammad Kristiawan Muhammad Kristiawan Muhammad Soleh Fudin Murni Yanto Mustika Zahfira Utami Nanik Setyowati Nina Kurniah, Nina Nirwana, Nirwana 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 Oktariani, Falinda Oktavia, Titin Oktaviyani Rosniadi Pratama Oktaviyani Rosniadi Pratama Osa Juarsa Osa Juarsa Pancarani, Dwi Ayu Paramita, Irma Susan Parlindungan, Deni Parwito Parwito Parwito Pazah, Guti Ameda Prananosa, Ahmad Gawdy Pratama, Oktaviyani Rosniadi Prismar, Prismar Puri Maharani Putri , Desy Hanisa Putri Wiji Rahayu Putri Wiji Rahayu Putri, Desy Hanisa Putri, Desy Hanisa Putri, Herma Kurnia Putri, Rendi Zulni Eka Rahmat Hidayat Rahmat Hidayat Rahmat Hidayat Rahmayanti, Dinda Ramandani, Adityas Agung Rambat Nur Sasongko Refiana, Refiana Rendi Zulni Eka Putri Rendra Cipta Ressti Nurfitriani Rince Aida Rostika Rince Aida Rostika Rini Sadiatmi Rita Erlina Rita Erlina Rita Erlina, Rita Riyanto Riyanto Riyanto Riyanto Riyanto Rojai Zhofir Rosane Medriati Rosane Medriati Rosane Medriati Rosmala Dewi Rumahlatu, Alvaro Rusdi Efendi Sahono, Bambang 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 Sinaga, Agustina Trianti Br Sipriyadi Siswanto Siswanto Siswoyo, Joan Siti Latifah soraya, indah Sudarwan Danim Sudirman Sudirman Sultan Hammad Alshammari Sultan Hammad Alshammari Sungkem Tri Wahyuni Suryani Suryani Sutarno Sutarno Sutrisno, Sutrisno Syaiful Bahri Syarkowi, Ahmad Syisva, Syisva Tarigan, Kelimsa Tetes Wahyu Witradharma Thai Ky Trung Pham Tiara Dwi Fortuna Titin Aprilatutini Tri Yulistia Tri Yunita Triani, Deswinta Uliyandari, Mellyta Usmanova Shokhsanam Avazovna Veby Penyustia Vivi Yuliantari Wachidi Wahyu Widada Wahyuni, Sungkem Tri Wardana, Rendy Wikrama Widiasih, Widiasih Wijaya, M. Abdilah Hananta William Yeoh Wulandari, Dinda Yanti Daryanti Yeti Komalasari Yuliana Arsil Yulistia, Tri Yunita Rahmani Yunita, Tri Yusran Hasymi Yusupov Komaliddin Bakhtiyor Ugli Yuyun Yumiarty Zuki, Meizul