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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal EECCIS Jurnal Teknologi Informasi dan Terapan (J-TIT)
Yogiswara Yogiswara
Politeknik Negeri Jember
Computer Science & IT Education Electrical & Electronics Engineering Engineering

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Journal : Jurnal Teknologi Informasi dan Terapan (J-TIT)

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KINERJA KOMPUTASI TERDISTRIBUSI BERBASIS LAYANAN WEB MENGGUNAKAN METODE SOAP SIMPLE OBJECT ACCESS PROTOCOL Yogiswara Yogiswara
Jurnal Teknologi Informasi dan Terapan Vol 1 No 2 (2014)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Technology web services (Web Service) published to overcome the problems interoperabillitas between applications is a major obstacle in the process of data integration. This technology is a distributed computing technology that is widely used because of its simplicity and flexibility than previous technologies. There are three methods of data exchange which has been standardized in this technology, one of which is a SOAP (Simple Object Access Protocol) is a protocol for the exchange of information with a remote procedure call mechanism through HTTP protocol in the form of XML. These methods has been widely applied in many cases but still have not measured the performance of this method, especially in the execution of data. In this study, the method of exchan ge of SOAP tested its performance in a distributed environment with different server platforms. Performance measurement results show the method has the SOAP protocol that is easy to understand by the client for the service descriptions using the standard WSDL (web services description language), while a web server that has the best performance in executing SOAP is a web server NGINX
Fatigue Detection of XYZ Drivers based on Human Brain Wave EEG Signals Shabrina Choirunnisa; Beni Widiawan; Yogiswara Yogiswara; I Gede Wiryawan; Agus Purwadi; Bekti Maryuni Susanto
Jurnal Teknologi Informasi dan Terapan Vol 9 No 2 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i2.299

Abstract

The cause of death due to traffic accidents isnow increasingly common. One of the main factors causing thisaccident is driver fatigue. This can happen because the driveris not aware of his tired mental state. Of course mental fatiguecan cause a lack of concentration while driving. This mentalfatigue can be detected by analyzing the brain waves throughthe EEG signal from the driver. This brain wave analysis canbe done by various methods. In this study, the authorsconducted a brain wave-based detection of mental fatigueusing the Fourier transform and Support Vector Machine. TheEEG signal data will be feature extracted using the FourierTransform. Then, the results of this extraction will be used forthe classification process with the Support Vector Machinemethod. Based on the experimental results, the classification ofmental fatigue using a Support Vector Machine with a linearkernel obtained an average accuracy of 85%.
Co-Authors Agus Purwadi Astriyanto, Dimas Rayi Bekti Maryuni Susanto Beni Widiawan Fujiama Diapoldo Silalahi Harry Soekotjo Dachlan I Gede Wiryawan Khoirur Rozikin Wijono Wijono