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Bibliometric Analysis of AI-Based Prototype Proposal for User Security Awareness in Healthcare Pratama, I Putu Agus Eka; Widyantara, I Made Oka; Linawati, Linawati; Gunantara, Nyoman
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.3319

Abstract

In the realm of public healthcare, integrating information technology (IT) must be judiciously balanced with heightened security awareness among users, given the escalating frequency of cyberattacks targeting this sector. Despite the availability of various product and service solutions aimed at enhancing user security awareness, these efforts have yet to yield optimal outcomes. There is a pressing need for innovative approaches to bolster healthcare user security awareness through IT, particularly leveraging the rapidly advancing field of artificial intelligence (AI). This study conducts a comprehensive review of prior research on the application of AI, specifically Large Language Models (LLM), within the domain of healthcare cybersecurity from 2014 to 2024. The objective is to ascertain the volume of publications, trace the evolution of publication trends, and assess the potential and positioning of research in this area. Employing a bibliometric analysis methodology, this study analyzes a dataset comprising 1000 related publications indexed by Google Scholar. The findings reveal that publications concerning applying LLM AI in healthcare cybersecurity constituted 12.82% in 2023, with a significant increase to 87.18% in 2024, representing a 6.8-fold rise. The mapping of publication developments is categorized into 24 clusters, with large language models, healthcare, retrieval-augmented generation, LLM, artificial intelligence, and cybersecurity emerging as the six most frequently discussed keywords in the research landscape. Consequently, this study underscores the substantial potential for current and future research on the application of AI in healthcare cybersecurity, advocating for the development of AI-based solutions to enhance healthcare user security awareness.
Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95 Arfianto, Afif Zuhri; Rahmat, Mohammad Basuki; Dhiyavia, Fuad; Santoso, Tri Budi; Gunantara, Nyoman; Supriyanto, Eko; Ardhana, Valian Yoga Pudya
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.492

Abstract

Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor  and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the  results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds.  Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes.  Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
Co-Authors A Dharma A. A. G. M. Pemayun A. Dharma A.A.D.P. Dewi AAN. Agung Indra Prasetya adi surya antara Agus Dharma Agus Mahabojana Dwi Prayoga, Kadek Arfianto, Afif Zuhri Artawan, Komang Nova Darmawan, I Gede Hadi Dhiyavia, Fuad Diafari Djuni, IGAK Dika Nugraha, Made Eko Supriyanto Ferary, Franky G.M.A. Sasmita Hisyam Rahmawan Suharno Hisyam Rahmawan Suharno I Dewa Nyoman Anom Manuaba I G. A. K. Diafari Djuni Hartawan I Gede Krisnu Wardana I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Gede Agung Suniantara I K A Riki Gunawan I K. A. Riki Gunawan I ketut Gede Darma Putra I Made Mataram I Made Oka Widyantara I Nyoman Bernadus I P Indra Ully Widhi Nugraha I Putu Agus Eka Pratama I Wayan Sukerayasa I. K. Wijaya I.G.A. Sutresna Mudri I.K.G. Harsana Ida Ayu Masyuni Ida Bagus A. Swamardika Ida Bagus Agung Eka Mandala Putra Kardiyasa, Komang Agus Putra Ketut Arsarahadi Oka Brahmansa Komang Agus Putra Kardiyasa Komang Nova Artawan Komang Oka Saputra Linawati Linawati Linawati Luh Kadek Pracanthi Dyah Sekartaji M Amir Made Sudarma Made Sudarma Manuaba, Ida Bagus Gede Mohammad Basuki Rahmat, Mohammad Basuki N Paramaita N.O. Pramundia Ngakan Ketut Acwin Dwijendra Ni Ketut Novia Nilasari Ni Luh Ratniasih, Ni Luh Ni Made Ary Esta Dewi Wirastuti Niama Dwi Susila, Made Nilasari, Ni Ketut Novia NMAED Wirastuti Nugraha Putra, Bayu Nyoman Pramaita Nyoman Pramaita Pande Ketut Sudiarta Pande Ketut Sudiarta, Pande Ketut Pande Made Sutawan Parito Parito putu roy nurbhawa R. Yanuari Rahayu, Ni Luh Widi Rukmi Sari Hartati Rukmi Sari Hartati Saputra, Komang Oka Sindu, I Gede Partha Tri Budi Santoso Valian Yoga Pudya Ardhana