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This Author published in this journals
All Journal Walisongo Journal of Information Technology Journal of Holistic Medical Technologies
Thooriq Nur Ali
Universitas Islam Negeri Walisongo Semarang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience

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Perancangan Sistem Informasi Reservasi Laboratorium TI UIN Walisongo Berbasis Web Hery Mustofa; Thooriq Nur Ali; Roman Fauzan
Walisongo Journal of Information Technology Vol 3, No 1 (2021): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2021.3.1.8492

Abstract

The Information Technology Study Program Laboratory is part of the integrated Laboratory of UIN Walisongo Semarang which will be completed in 2021 with funding from the IsDB (Islamic Development Bank). With the existence of the laboratory, of course, many challenges will be faced. One of them is the mechanism for making laboratory space reservations. In this research, an information technology laboratory reservation information system will be designed using the waterfall method and a system model approach using an object oriented development model. With this approach, it produces a simple reservation information system and can assist in facilitating users in making reservations for IT laboratory space. From the test results, it is known that the interface design and functional system can run according to user expectations.
Classification of normal and relaxed conditions based on brain signal activity with Electroencephalography using k-Nearest Neighbor (kNN) Thooriq Nur Ali; Fadhillah
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 1 (2024): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

Research on how to think, patterns that occur when humans act, human conditions observed through brain waves, and various studies related to the human nervous system and coordination are still extensive in scope for development. Electroencephalography (EEG) is an instrument commonly used to develop research related to the mechanism of brain wave activity. Changes in the brain's electrical potential can be exploited by carrying out specific analyses using various signal processing methods, which are grouped into various categories of waves, including delta (0 - 4 Hz), theta (4 - 7 Hz), alpha (8 - 12 Hz) and beta (12 – 30 Hz). This research has succeeded in building a classification model through several stages, namely preprocessing with filtration and data extraction, data processing consisting of clustering using the K-Means algorithm, and classification using the k-Nearest Neighbor (kNN) algorithm to calculate the accuracy value of the model. The classification process produces two categories of conditions: normal and relaxed. The results of testing the classification model using the k-Nearest Neighbor (kNN) produce an accuracy value of 88%.
Co-Authors Fadhillah Mustofa, Hery Roman Fauzan