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All Journal International Conference on Law, Business and Governance (ICon-LBG) International Conference on Education and Language (ICEL) International Conference on Engineering and Technology Development (ICETD) Jurnal English Education: Jurnal Tadris Bahasa Inggris Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Informatika Jurnal Informatika International Multidiciplinary Conference on Social Sciences (IMCoSS) Prosiding Seminar Nasional Darmajaya Jurnal Informasi dan Teknologi International Journal of Health, Economics, and Social Sciences (IJHESS) Jurnal Kolaboratif Sains Journal Of Human And Education (JAHE) Digital Transformation Technology (Digitech) Sanskara Hukum dan HAM Innovative: Journal Of Social Science Research Sahabat Sosial: Jurnal Pengabdian Masyarakat West Science Business and Management Jurnal Ekonomi dan Kewirausahaan West Science West Science Interdisciplinary Studies Jurnal ICT : Information and Communication Technologies West Science Accounting and Finance West Science Interdisciplinary Studies West Science Social and Humanities Studies The Eastasouth Journal of Information System and Computer Science Journal of World Future Medicine, Health and Nursing Science Information System and Technology West Science Nature and Technology Journal of Innovative and Creativity The Journal of Artificial Intelligence and Development Marsialapari: Jurnal Pengabdian Kepada Masyarakat Journal of Engineering and Science Application Jurnal Ekonomi, Manajemen, Akuntansi Journal of Moeslim Research Technik Research of Scientia Naturalis Jurnal Sipakatau Indonesian Journal of Enterprise Architecture ZAHRA (JOURNAL OF HEALTH AND MEDICAL RESEARCH) Indonesian Journal of Education (INJOE) Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Jurnal Ekonomi dan Bisnis (Jebi)
Arnes Yuli Vandika
Universitas Bandar Lampung
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The Effect of Using End-to-End Encryption in Improving Data Security in Cloud Computing Satya Arisena Hendrawan; Legito; Muhammad Bitrayoga; Jatmiko Wahyu Nugroho; Arnes Yuli Vandika
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.6941

Abstract

Cloud Computing offers various advantages, but also presents major challenges related to data security. End-to-end encryption (E2EE) is considered as a solution to mitigate threats to the security of data stored and processed in the cloud. This research aims to examine the effect of implementing E2EE encryption in improving data security in Cloud Computing. Using a qualitative approach with literature study and secondary data analysis, this research focuses on three main threat categories: data leakage, unauthorized access, and cyberattacks. The results show that E2EE encryption can reduce the incidence of data leakage by 80%, unauthorized access by 83.3%, and cyberattacks by 78.6%. Despite its effectiveness, E2EE encryption implementation faces challenges in encryption key management and potential degradation in system performance. Therefore, good key management and multifactor authentication are essential to ensure data security. This study concludes that although end-to-end encryption improves security, a thorough policy, including key management and access control, is needed to maximize data protection in Cloud Computing.
Analisis Minat Nasabah dalam Penggunaan Mobile Banking Ahmad Nur Budi Utama; Rezki Fitriani; Dian Firdaus; Zaenal Arief; Arnes Yuli Vandika
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 4 No. 1: November 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v4i1.6221

Abstract

Penelitian ini menganalisis faktor-faktor yang memengaruhi minat nasabah dalam penggunaan mobile banking, termasuk persepsi kemudahan, persepsi risiko, kepercayaan, dan pengalaman pengguna. Metode penelitian yang digunakan adalah survei dengan sampel 50 nasabah bank konvensional. Hasil analisis menunjukkan bahwa persepsi kemudahan, kepercayaan, dan pengalaman pengguna memiliki pengaruh positif yang signifikan terhadap minat nasabah, sementara persepsi risiko berpengaruh negatif. Persepsi kemudahan mendorong nasabah untuk mencoba dan menggunakan aplikasi mobile banking, sedangkan kepercayaan yang tinggi terhadap bank meningkatkan rasa aman nasabah dalam menggunakan layanan digital. Sebaliknya, persepsi risiko yang terkait dengan keamanan data pribadi menurunkan minat nasabah untuk menggunakan mobile banking. Pengalaman pengguna yang baik, mencakup antarmuka yang mudah dan navigasi yang responsif, juga terbukti meningkatkan keterlibatan nasabah. Temuan ini menunjukkan bahwa bank perlu meningkatkan keamanan, memperbaiki pengalaman pengguna, dan membangun kepercayaan nasabah untuk meningkatkan adopsi mobile banking.
The Integration of AI and IoT in Cyber-Physical Systems for Smart Manufacturing in Indonesia Wardhani, Diky; Simarangkir, Manase Sahat H; Safarudin, Muhamad Sigid; Vandika, Arnes Yuli; Kaaffah, Faiz Muqorrir
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.530

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within Cyber-Physical Systems (CPS) represents a transformative opportunity for smart manufacturing in Indonesia. This study employs a qualitative approach, with insights from five informants, to explore the current state, challenges, opportunities, and strategic recommendations for CPS adoption. Findings reveal that while CPS adoption is in its early stages, it has significant potential to enhance operational efficiency, sustainability, and global competitiveness. Challenges such as limited infrastructure, skill gaps, and cybersecurity concerns are prevalent. However, opportunities exist in leveraging government initiatives, fostering local innovation, and promoting sustainability. Strategic recommendations include enhancing digital infrastructure, providing financial incentives, upskilling the workforce, and establishing clear regulatory frameworks. These insights contribute to advancing Indonesia's Industry 4.0 agenda and offer a roadmap for stakeholders to navigate CPS integration effectively.
The Impact of Explainable AI on User Trust and Ethical AI Adoption in Indonesia Judijanto, Loso; Achmady, Sayed; Fadhilah, St. Annisa Nurul; Vandika, Arnes Yuli
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.531

Abstract

Explainable Artificial Intelligence (XAI) is increasingly recognized as a critical enabler of trust and ethical AI adoption. This study explores the impact of XAI on user trust and ethical AI adoption within Indonesian academia through a qualitative analysis of five informants, including AI researchers, university administrators, and policymakers. The findings reveal that XAI enhances transparency and ethical awareness while fostering trust among academic stakeholders. However, technical complexity, resource limitations, and resistance to change pose significant barriers to implementation. The study also identifies opportunities for fostering XAI adoption, such as collaborative initiatives, government support, and tailored training programs. These insights contribute to the growing discourse on leveraging XAI for promoting ethical and trustworthy AI practices in academia.
Brain-Computer Interfaces in Assistive Technologies: A Bibliometric Review Judijanto, Loso; Vandika, Arnes Yuli; Toalib, Ramli
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.547

Abstract

This study presents a comprehensive bibliometric review of scholarly literature on Brain-Computer Interfaces (BCIs) in assistive technologies, aiming to map research trends, intellectual structure, and collaborative patterns from 2000 to 2024. Using data retrieved from the Scopus database and analyzed through VOSviewer, this review identifies key contributors, institutional affiliations, and country-level collaborations. Results show a steady increase in publication output, with a sharp surge in 2024, indicating growing academic and clinical interest in BCI-assisted systems. The United States, Germany, and India emerge as the most productive countries, while institutions such as Eberhard Karls Universität Tübingen and Harvard Medical School lead in scholarly output. Author co-authorship analysis reveals influential figures and collaborative hubs, particularly in Europe and North America. Thematic clustering of keywords uncovers major research domains, including neurophysiological signal processing, machine learning applications, robotic control systems, and user-focused communication aids. Overlay and density visualizations suggest an evolution from foundational EEG-based research to more sophisticated, AI-enhanced and ethically grounded assistive technologies. This review provides a data-driven understanding of the field’s development and highlights future directions toward more inclusive, adaptive, and scalable BCI solutions for individuals with disabilities.
Research Advancements in Digital Twin Technology for Smart Manufacturing Judijanto, Loso; Vandika, Arnes Yuli
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.548

Abstract

This study presents a comprehensive bibliometric analysis of research developments in Digital Twin (DT) technology within the domain of smart manufacturing. Drawing on Scopus-indexed publications from 2010 to 2024, the study explores the growth patterns, thematic structures, institutional contributions, collaborative networks, and emerging research trends using VOSviewer. The findings reveal a sharp increase in publication volume, particularly in 2024, indicating growing academic and industrial interest. China dominates the research landscape in terms of both institutional productivity and international collaboration, followed by India and the United States. Keyword co-occurrence analysis identifies “smart manufacturing,” “digital twin,” and “industry 4.0” as core themes, with increasing emphasis on artificial intelligence, optimization, collaborative robots, and Industry 5.0 in recent years. Co-authorship and country collaboration maps illustrate dense scholarly networks centered around prominent authors and regions. Despite significant progress, the study identifies gaps in real-world implementation, standardization, and ethical considerations. These insights offer valuable direction for future interdisciplinary research and policy strategies aimed at integrating DT technologies into next-generation manufacturing ecosystems.
Emerging Research Trends in Natural Language Processing for Multilingual AI Judijanto, Loso; Vandika, Arnes Yuli
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.549

Abstract

This study explores the emerging trends and developments in Natural Language Processing (NLP) for Multilingual Artificial Intelligence (AI) through a comprehensive bibliometric analysis. Drawing on data from the Scopus database spanning 2013 to 2023, the research identifies key publication patterns, influential contributors, thematic clusters, and collaboration networks that shape the evolution of multilingual NLP. The analysis reveals a significant increase in research activity over the past five years, particularly driven by advancements in deep learning and the emergence of multilingual pretrained models such as mBERT and XLM-RoBERTa. Institutions from the United States, India, and China lead the global research landscape, while collaborative clusters highlight the interdisciplinary and international nature of the field. Keyword analysis shows a paradigm shift from rule-based and statistical approaches to neural and transformer-based architectures, with increasing application in healthcare, social media, and big data environments. Despite this growth, the study identifies ongoing challenges, including disparities in language representation, bias in model training, and the need for ethical and inclusive research practices. The findings provide a strategic overview for researchers, policymakers, and practitioners aiming to advance equitable and effective multilingual AI systems.
Bibliometric Analysis of Artificial Intelligence Development in Customer Service Automation Judijanto, Loso; Vandika, Arnes Yuli; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1861

Abstract

This study presents a comprehensive bibliometric analysis of scholarly literature on the development of artificial intelligence (AI) in customer service automation, based on data extracted from the Scopus database between 2000 and 2024. Using VOSviewer, the analysis maps the intellectual structure, thematic evolution, and collaborative networks within this rapidly growing research field. Findings reveal that core research themes revolve around customer satisfaction, chatbots, natural language processing, and machine learning—highlighting the shift from back-end AI infrastructure toward user-facing, interactive applications. The overlay visualization indicates a temporal progression, with earlier studies focusing on big data and cloud computing, while more recent works emphasize conversational AI and customer experience. Co-authorship and country collaboration networks show two dominant scholarly communities—one centered in East Asia with a technical focus, and another in Western countries emphasizing service quality and marketing perspectives. Despite the field's growth, gaps remain in cross-regional collaboration, ethical design, and theoretical integration. This study offers valuable insights for researchers, practitioners, and policymakers aiming to advance AI-driven customer service strategies that are both innovative and ethically sound.
Bibliometric Analysis of Artificial Intelligence Development in Customer Service Automation Judijanto, Loso; Vandika, Arnes Yuli; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1861

Abstract

This study presents a comprehensive bibliometric analysis of scholarly literature on the development of artificial intelligence (AI) in customer service automation, based on data extracted from the Scopus database between 2000 and 2024. Using VOSviewer, the analysis maps the intellectual structure, thematic evolution, and collaborative networks within this rapidly growing research field. Findings reveal that core research themes revolve around customer satisfaction, chatbots, natural language processing, and machine learning—highlighting the shift from back-end AI infrastructure toward user-facing, interactive applications. The overlay visualization indicates a temporal progression, with earlier studies focusing on big data and cloud computing, while more recent works emphasize conversational AI and customer experience. Co-authorship and country collaboration networks show two dominant scholarly communities—one centered in East Asia with a technical focus, and another in Western countries emphasizing service quality and marketing perspectives. Despite the field's growth, gaps remain in cross-regional collaboration, ethical design, and theoretical integration. This study offers valuable insights for researchers, practitioners, and policymakers aiming to advance AI-driven customer service strategies that are both innovative and ethically sound.
Implementation of Green IT-Based Cloud Computing for Energy Efficiency in Technology Companies Judijanto, Loso; Wijaya, Hamid; Ismail, Rima Ruktiari; Vandika, Arnes Yuli
West Science Information System and Technology Vol. 3 No. 01 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i01.1846

Abstract

The growing demand for energy-efficient and sustainable solutions has positioned Green IT-based cloud computing as a pivotal strategy for technology companies aiming to balance operational efficiency with environmental stewardship. This study conducts a systematic literature review of 15 Scopus-indexed documents to explore the benefits, challenges, and strategies associated with the adoption of Green IT-based cloud computing. The findings reveal that these practices significantly enhance energy efficiency, reduce operational costs, and minimize carbon footprints. However, challenges such as high implementation costs, technological complexity, and intermittent renewable energy sources impede widespread adoption. Strategies including the use of AI and machine learning, collaborations with renewable energy providers, and the establishment of standardized policies are identified as effective solutions. This study contributes to the growing discourse on sustainable IT practices and provides a roadmap for technology companies aiming to integrate Green IT principles into their cloud computing operations.
Co-Authors - Afrizal Abdul Muid Fabanyo Abdul Rahim Abdullah Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Adnan, Ahmad Zaelani Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Ahmad Cucus Ahmad Nur Budi Utama Ahmad Zaelani Adnan Ainun Jariyah Akhtar, Shazia Aldo, Novian Aldo, Novian Ali, Zainab Alim Hardiansyah Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Andi Naila Quin Azisah Aliasyahbana Andi Naila Quin Azisah Alisyahbana andrew shandy utama, andrew shandy Anggeraeni, Anggeraeni Anggit Wasesa Praja Anggun Nugroho Anggun Nugroho, Anggun Annisa Paramaswary Aslam Ansar Ansar Anwar, Wahyuni Aprian, Syawal Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Arfah, Andi Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Arifudin, Opan Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslam, Bilal Aslan Aslan Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Prihantoro Nugroho Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T Saiful Basri, T. Saiful Batubara, Ana Uzla Bekti Setiadi Bekti Utomo Belinda Arbitya Dewi Bilondato, Nikma Chatarina Umbul Wahyuni Chevy Herli Sumerli Dadang Muhammad Hasyim Debi Herlina Meilani Debi Herlina Meilani Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Resha Agustina Dina Ika Wahyuningsih Dora, Mechi Silvia Dora, Mechi Silvia Dunggio, Abdul Rivai Saleh Dwi Aris Nurohman Effendy, Femmy Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novitasari Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K, Fitriani.K Frans Sudirjo Frans Sudirjo Fujita, Miku Gilang Pranajasakti Guntur Arie Wibowo Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hakim, Nur Hamzah, Abd Natsir Hamzali, Said Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Hannan Fadlurahman Harsya, Rabith Madah Khulaili Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Heri Aji Setiawan Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Htwe, Thandar Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama Ikhwanto Asri Ikhwanto Asri Ilham Ilham Ilham Ilham Iqbal, Kiran Jackson Yumame Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Johannes Triestanto Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kirana, Sukma Ayu Candra Lan, Tran Thi Latifah Latifah Legito Lela Nurlela Lesmana, Tera Lestari Wuryanti Linm, Sofia Lola Yustrisia Lorensius Lonik Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini Made Susilawati Made Susilawati Manalu, Margareta Margareta Manalu Markus Wibowo Marwah Mayasari, Nanny Mei Rani Amalia Merakati, Indah Mislan Sihite, Mislan Moeis, Dikwan Mohammad Arifin Noor Much Deiniatur Muh Arnesta Arnanda Muh Arnesta Arnanda Muh Reza Abdillah Muh Reza Abdillah Muhammad Bitrayoga Muhammad Hazmi MUHAMMAD LUTFI Muhammad Mustofa Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Syarif Hartawan Muhammadong Muhammadong Muhtadi, M. Ammar Mulia, Madepan Munazar Munazar Muslimin B, Muslimin B Nam, Le Hoang Nampira, Ardi Azhar Nanny Mayasari Natasya Yunita Sugiastuti Ni Desak Made Santi Diwyarthi Ningsih, Yunia Noning Verawati Novianty Djafri Novycha Auliafendri Nukman Nukman Nukman Nunung Suryana Jamin Nur Afiani, Rulan Nur Afifah Harahap Nur Asmah Nur Hakim Nuridayanti Nuridayanti Nurisman, Husain Nurohman, Dwi Aris Nurul Aisyiyah Puspitarini Omar Ahmad Palupiningtyas, Dyah Pannyiwi, Rahmat Pasaribu, Daniel Peluw, Zulfikar Peng, Nam Pertiwi, Triani Prata Pranajasakti, Gilang Pratama, I Wayan Adi Priyana, Yana Qudratullah, Fyzria Raden Mohamad Herdian Bhakti Radiah Ilham Rahman Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rifky , Sehan Rima Ruktiari Rina Destiana Rith, Vicheka Rival Fahrijal Rizki Andita Noviar Rizki Wahyudi Rosmawati Harahap Rosmawati Harahap Rosmiati Rosmiati Rovanita Rama Rovanita Rama Rulan Nur Afiani Rully Fildansyah Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Safarudin, Muhamad Sigid Sagena, Unggul Said Hamzali Samsul Arifin Samsul Arifin Santi Diwyarthi, Ni Desak Made Saputra, M. Khalid Fredy Saputra, M.Khalid Fredy Sari, Nidia Wulan Sarungallo, Amelia S. Satria Eureka Nurseskasatmata Satya Arisena Hendrawan Sawaluddin Siregar Sayed Achmady Sehan Rifky Setiadi, Bekti Setiawan, Zunan setiawati, rahmi Setyorini, Dhiana Silvia Ekasari SILVIA EKASARI Sima, Yenny Simarangkir, Manase Sahat H Soelistianto, Farida Arinie Sok, Vann Souisa, Wendy Sri Ariyanti Sri Widiastuti Sudarmanto, Eko Sudarmo Sudarmo sudarmo sudarmo Suhara, Ade Suharni Suharni Suharni Sumerli A., Chevy Herli Supriyanti Supriyanti Susanti Susanti Syafril Barus Syafril Barus Syam Gunawan Syam Gunawan Syawal Aprian Tahir, Usman Tan, Ethan Tanaka, Kaito Tariq, Usman Tera Lesmana Thalib, Kiki Uniatri Thea Marisca Marbun B.N Tia Tanjung Tia Tanjung, Tia Titiek Rachmawati Titiek Rachmawati Toalib, Ramli Tri Budi Rahayu, Tri Budi Triyugo Winarko Triyugo Winarko, Triyugo Tu, Nguyen Minh Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Utama Sembiring, Afen Prana Utomo, Bekti Wahidyanti Rahayu Hastutiningtyas Wahyuni Sri Astutik Wardhani, Diky Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Xiang, Yang Yamamoto, Sota Yana Priyana Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zani, Benny Novico Zaw, Soe Thu Zhang Li Zohaib Hassan Sain Zulkifli Zulkifli Zulkifli Zulkifli Zunan Setiawan