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All Journal JUITA : Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Journal Information System Development JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Journal of Soft Computing Exploration Jurnal Pengabdian Kepada Masyarakat Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi International Journal of Multidisciplinary Sciences and Arts SOROT: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Indonesia Sejahtera Jurnal Pelayanan Masyarakat Jurnal Ilmu Komputer dan Informatika
Moch Yusuf Asyhari
Department Of Informatic Engineering, Universitas PGRI Madiun, Indonesia
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Journal : JUITA : Jurnal Informatika

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An Approach of Brain-Computer Interface Electroencephalography for Measuring Visual Height Intolerance Moch Yusuf Asyhari; Dhomas Hatta Fudholi; Fery Luvita Sari
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.818 KB) | DOI: 10.30595/juita.v9i1.8314

Abstract

The environment is one factor that influences the quality of life, including a high environment for people with the fear of height (Visual Height Intolerance, VHI). Currently, VHI is measured by using the Visual Height Intolerance Severity Scale (VHISS). The lack of evidence-based testing makes these measurements feel weak and less meaningful. The use of Virtual Reality (VR) and Electroencephalography (EEG) based on the Brain-Computer Interface (BCI) deserves to be tested. The test is done by reading the human brain's electrical activity using a BCI-based EEG when given VR exposure. The analysis process uses a simple wave concept. Furthermore, the correlation study was carried out using the Spearman-rho method with a consideration of the normality test, which produced non-parametric data. The correlation test results show that the BCI-based EEG biometric data in the form of the amount of waves per time and magnitude has a strong relationship with the VHISS scale. The higher the number of waves per time, the higher the amplitude, the higher the VHISS scale. The evaluation was carried out by examining the correlation based on the demographics of age and gender. Finally, EEG based on BCI and VR can be an alternative and concrete evidence to review the level of visual height intolerance other than VHISS.
Co-Authors Abdul Rozaq Ahmad, Khairul Adila Alim Citra Aria Bima Alim Citra Aria Bima Aminuyati Anardani, Sri Aria Bima, Alim Citra Ayunda Nur Hapsari Azis, Muh Nur Luthfi Bima, Alim Citra Aria Bryan Ricky Christoffel Cahyo, Wahyu Nur Cahyono Putro, Moh Rizal Bagus Cahyono Putro, Moh. Rizal Bagus Dhomas Hatta Fudholi Eka Resty Novieta Sari Estuning Dewi Hapsari Fatim Nugrahati Fery Luvita Sari Hapsari, Estuning Dewi Ilman Winas Saputra Inung Diah Kurniawati Juwari Juwari Kelik Sussolaikah Kurniawati, Inung Diah Muh Nur Luthfi Azis Muh Nur Luthfi Azis Nita, Sekreningsih Pratiwi Susanti Pratiwi Susanti Puguh Jayadi Rifky Reza Swarga Shamsuddin, Norin Rahayu Slamet Yulianto Sri Anardani STT, Latjuba Sofyana Susanti, Pratiwi Tajuddin, Taniza Yessi Yunitasari