p-Index From 2021 - 2026
19.169
P-Index
This Author published in this journals
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 Science Information System and Technology West Science Nature and Technology Journal of Innovative and Creativity 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) Journal of World Future Medicine, Health and Nursing
Claim Missing Document
Check
Articles

21st Century Economic Transformation: The Impact of Artificial Intelligence on Markets and Employment Loso Judijanto; Asfahani Asfahani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v1i1.339

Abstract

Artificial intelligence (AI) has transformed the 21st-century economy, shaping markets and employment. This study aims to investigate the impact of AI on the market and employment. This research uses a qualitative approach, which takes data through observation and interview techniques. In contrast, the data analysis technique uses the Miles Humbermen model through data presentation, reduction, and conclusion. This research reveals that although AI increases efficiency and productivity, it also causes job displacement and requires upskilling efforts and new skills. Additionally, AI drives the emergence of new sectors and raises ethical and regulatory challenges that must be overcome for sustainable economic development.
Analysis of Physical Activity Patterns using Wearable Sensors in the Management of Heart Disease Belinda Arbitya Dewi; Agus Mukholid; Rini Ambarwati; Hermansyah Hermansyah; Arnes Yuli Vandika
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.751

Abstract

Heart disease is one of the leading causes of death worldwide. Adequate physical activity is an important factor in the management of heart disease, but accurately monitoring physical activity can be challenging. The use of wearable sensors offers a potential solution to measure and analyze physical activity patterns more precisely. This study aims to analyze physical activity patterns using wearable sensors in the management of heart disease. As well as to find out whether physical activity using wearable sensors can overcome heart disease. This research method uses a method with a quantitative approach. This study involves participants who suffer from heart disease and use wearable sensors to record their physical activity over a period of time. The physical activity data, including the number of steps, activity intensity, and activity duration, were analyzed using statistical methods and signal processing algorithms to identify activity patterns related to heart conditions. The results of the analysis showed different physical activity patterns between individuals with heart disease and healthy individuals. Individuals with heart disease tend to have lower levels of physical activity and less regular activity patterns. In addition, certain activity patterns, such as long periods of low-intensity activity, are associated with a higher risk for cardiac complications. The implementation of this research is that wearable sensors can be an effective tool in the management of heart disease by enabling accurate monitoring of an individual's physical activity. By analyzing physical activity patterns, we can better understand the relationship between physical activity and heart conditions, allowing for the development of more precise and personalized interventions in the management of heart disease.  
Application of Voice Recognition Technology for Early Detection of Respiratory Disorders in Premature Babies Dhiana Setyorini; Benny Novico Zani; Dina Rasmita; Khrisna Agung Cendekiawan; Arnes Yuli Vandika
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.758

Abstract

Bayi prematur memiliki risiko tinggi mengalami gangguan pernafasan yang berpotensi mengancam nyawa yang dapat berujung pada komplikasi atau permasalahan yang serius atau bahkan kematian jika tidak dideteksi secara tepat waktu. Untuk itu diterapkanlah sebuah teknologi pengenalan suara dagar dapat mengidentifikasi gangguan pernapsan yang terjadi pada bayi premature. Tujuan dari penelitian ini adalah untuk mengembangkan sistem yang dapat mengenali pola suara khas yang terkait dengan gangguan pernafasan pada bayi prematur. Dengan memanfaatkan teknologi ini, diharapkan dapat meningkatkan kemampuan deteksi dini gangguan pernafasan pada bayi prematur, sehingga memungkinkan intervensi medis yang lebih cepat dan tepat. Metode penelitian melibatkan pengumpulan data suara respirasi dari bayi prematur menggunakan mikrofon yang dipasang di sekitar inkubator mereka, diikuti oleh analisis menggunakan teknik pengolahan sinyal digital dan algoritma pembelajaran mesin. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengidentifikasi pola suara yang menunjukkan tanda-tanda gangguan pernafasan dengan tingkat akurasi yang tinggi yang di alami oleh bayi permatur. Hal ini didukung oleh data validasi yang menunjukkan bahwa sistem berhasil mendeteksi sebagian besar kasus gangguan pernafasan pada bayi permatur.Kesimpulan dari penelitian ini adalah bahwa teknologi pengenalan suara memiliki potensi besar sebagai alat deteksi dini gangguan pernafasan pada bayi prematur, yang dapat membantu tenaga medis dalam memberikan perawatan yang tepat waktu dan mengurangi risiko komplikasi serius. Dengan demikian, penerapan teknologi ini di lingkungan klinis dapat meningkatkan prognosis dan kelangsungan hidup bayi prematur yang rentan.
Use of Mobile Applications for Monitoring Adolescent Mental Health Tri Budi Rahayu; Supriyanti Supriyanti; Jamila Kasim; Munazar Munazar; Arnes Yuli Vandika
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.761

Abstract

Teenage mental health is becoming increasingly important in this modern era. However, the issue of accessibility to mental health services remains a significant obstacle. The use of mobile applications offers a potential solution to improve monitoring and intervention in adolescent mental health. This study aims to explore the effectiveness of using mobile applications in monitoring adolescents' mental health, as well as its impact on their quality of life. This study used a quantitative approach with a survey conducted on a sample of adolescents aged 13-18 years who used a mental health mobile application for six months. Data was collected regarding frequency of app use, changes in levels of anxiety and depression, and user perceptions of the app's benefits. The results of this study show that the use of mobile applications significantly reduces levels of anxiety and depression in adolescents. Additionally, users report improvements in emotion management skills and knowledge about mental health. The majority of respondents also felt comfortable and helped by the application features in managing daily stress. The conclusion of this study explains that using mobile applications for monitoring adolescent mental health has great potential to increase the accessibility and effectiveness of mental health services. This application can be an effective tool in providing support, education and intervention to teenagers in managing their mental health problems. Thus, the implementation of mobile applications in the context of adolescent mental health needs to be considered as part of a comprehensive strategy to improve adolescent well-being.
The Role of Artificial Intelligence in the Development of Digital Era Educational Progress Baso Intang Sappaile; Arnes Yuli Vandika; Much Deiniatur; Nuridayanti Nuridayanti; Opan Arifudin
Journal of Artificial Intelligence and Development Vol. 3 No. 1 (2024): Journal of Artificial Intelligence and Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v3i1.297

Abstract

In recent years, the transformative impact of artificial intelligence (AI) on educational progress in the digital era has been revealed. This research aims to explain how AI can revolutionize the educational landscape, driving inclusivity, equality, and innovation. This research method uses a qualitative approach and a multilateral approach which includes theoretical analysis and empirical findings. This research explains the role of AI in personalized learning, accessibility, educator empowerment, and ethical considerations. These findings reveal the potential for AI to enhance the learning experience by providing customized content, encouraging inclusivity through flexible learning modalities, and empowering educators with actionable insights. However, ethical issues such as data privacy and algorithmic bias require careful consideration. The study concludes with recommendations for future research, advocating further exploration of the efficacy of AI in addressing specific educational challenges and interdisciplinary collaboration to inform the responsible integration of AI in education, ultimately paving the way for a more equitable and innovative educational landscape in the digital world. era.
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) (Special Issue) - International Journal of Health, Economics, and Social Sciences (IJHESS) - January
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.
Co-Authors Abdul Muid Fabanyo Abdul Rahim Abdullah 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 Aldo, Novian Aldo, Novian Alim Hardiansyah Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Ana Uzla Batubara Andi Arfah 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 Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary 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 Bekti Setiadi Bekti Utomo Belinda Arbitya Dewi Benny Novico Zani Bilal Aslam Bilondato, Nikma 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 Dina Rasmita 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 Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Ethan Tan Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K Fitriani.K Frans Sudirjo Frans Sudirjo 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 Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama I Wayan Karang Utama Ikhwanto Asri Ikhwanto Asri Ilham Ilham Ilham Ilham Jackson Yumame Jamila Kasim Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Johannes Triestanto Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kaito Tanaka Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kiran Iqbal Kirana, Sukma Ayu Candra Latifah Latifah Le Hoang Nam Legito Legito Lela Nurlela Lesmana, Tera Lestari Wuryanti Lola Yustrisia Lorensius Lonik Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini M.Khalid Fredy Saputra Made Susilawati Made Susilawati Madepan Mulia Manalu, Margareta Margareta Manalu Markus Wibowo Marwah Lubis Mayasari, Nanny Mei Rani Amalia Merakati, Indah Miku Fujita 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 Munazar Munazar Munazar Munazar Muslimin B Nam Peng Nampira, Ardi Azhar Nanny Mayasari Natasya Yunita Sugiastuti Nguyen Minh Tu 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 Opan Arifudin Palupiningtyas, Dyah Pannyiwi, Rahmat Pasaribu, Daniel Peluw, Zulfikar Pertiwi, Triani Prata Pranajasakti, Gilang Pratama, I Wayan Adi Priyana, Yana Qudratullah, Fyzria Radiah Ilham Rahman Rahmat Pannyiwi Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rezqiqah Aulia Rahmat Rifky , Sehan Rima Ruktiari Rina Destiana Rini Ambarwati 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 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 Shazia Akhtar Silvia Ekasari SILVIA EKASARI Simarangkir, Manase Sahat H Soe Thu Zaw Soelistianto, Farida Arinie Sofia Linm Sota Yamamoto Souisa, Wendy Sri Ariyanti Sri Widiastuti sudarmo sudarmo Sudarmo Sudarmo Suhara, Ade Suharni Suharni Suharni Sumerli A., Chevy Herli Supriyanti Supriyanti Supriyanti Supriyanti Susanti Susanti Syafril Barus Syafril Barus Syam Gunawan Syam Gunawan Syawal Aprian Syawal Aprian Tahir, Usman Tanwir Tanwir Tera Lesmana Thalib, Kiki Uniatri Thandar Htwe Thea Marisca Marbun B.N Tia Tanjung Titiek Rachmawati Toalib, Ramli Tran Thi Lan Tri Budi Rahayu Tri Budi Rahayu, Tri Budi Triyugo Winarko Triyugo Winarko, Triyugo Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Usman Tariq Utama Sembiring, Afen Prana Utomo, Bekti Vann Sok Vicheka Rith Wahidyanti Rahayu Hastutiningtyas Wahyuni Anwar Wahyuni Sri Astutik Wardhani, Diky Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Yana Priyana Yang Xiang Yenny Sima Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zainab Ali Zani, Benny Novico Zhang Li Zohaib Hassan Sain Zulkifli Zulkifli Zulkifli Zulkifli Zunan Setiawan