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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
Kinerja Web Service pada Proses Integrasi Data Yogiswara Yogiswara; Wijono Wijono; Harry Soekotjo Dachlan
Jurnal EECCIS Vol 8, No 1 (2014)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Layanan web (Web Service) banyak di- implementasikan pada proses integrasi presentasi dan juga dapat digunakan untuk integrasi data. tiga metode layanan web. Extensible Markup Language Remote Procedure Call (XML-RPC), Simple Object Access Protocol (SOAP) dan Representational State Transfer (REST) memiliki spesifikasi yang berbeda dan memerlukan algoritma yang berbeda dalam implementasinya. Penelitian ini difokuskan untuk mengembangkan sebuah model integrasi data yang mengimplementasikan seluruh metode layanan web pada aplikasi sistim informasi terpisah serta melakukan analisis dengan mengevaluasi kinerja untuk mendapatkan konfigurasi terbaik. Proses evaluasi dilakukan dengan mengukur kecepatan layanan web pada semua jenis transaksi. Parameter yang digunakan dalam mengevaluasi kinerja adalah pengukuran lama waktu yang diperlukan dari pengiriman permintaan oleh klien sampai klien menerima hasil permintaan tersebut dari server atau biasa disebut user perceived latency. Hasil penelitian menunjukkan bahwa layanan web dapat digunakan untuk mengembangkan model integrasi data. Dan konfigurasi klien “Apache”, server “Nginx” dengan menggunakan metode “REST” memiliki kecepatan terbaik untuk diimplementasikan dalam proses integrasi data.Kata Kunci—integrasi data, latency, metode xmlrpc soap rest, web service.
Analisis Traffic Data ESP8266 pada Perangkat Middleware Unang Achlison; Khoirur Rozikin; Fujiama Diapoldo Silalahi; Yogiswara
Elkom : Jurnal Elektronika dan Komputer Vol 15 No 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.818

Abstract

Almost every house already uses a Wifi network as internet access. With the help of this Wifi network, it is used as Middleware that can be controlled and monitored when outside the home. This study engineered data packet traffic using the ESP8266 wifi module on the Middleware device network to find out how fast the data packet capture time using wifi can be controlled and monitored when outside the home. Based on the analysis, the measurement results on the IoT device network to find out how fast the data time using wifi it reaches 2.95 kbps to 7.4 kbps.
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%.