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Performance Analysis of CloudLinux-based Web Server at the Embassy of the Kingdom of Morocco in Jakarta Anggie Pratama Lalengke; Ida Nurhaida
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 10, No 2 (2021): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v10i2.1168

Abstract

The rapid development of Information Technology (IT) has made a high availability web server a necessity. CloudLinux is a CentOS-based operating system specifically for the needs of servers with good high availability. This study will implement and analyze a CloudLinux-based web server for the Embassy of the Kingdom of Morocco in Jakarta to replace the current CentOS-based web server that does not meet high availability standards. The research methodology used in this study is the PPDIOO Life-cycle from Cisco. Designing a network according to the customer's needs requires identifying several elements in it, including the goals and constraints faced by the organization. Cisco creates a network life-cycle that can help these problems into six phases: Prepare, Plan, Design, Implement, Operate, and Optimize (PPDIOO). This study aims to determine how well the uptime, response time, and load impact are on the CloudLinux-based web server. The uptime test results on the CloudLinux-based web server have a value of an average of 99.971%. Testing the response time on the CloudLinux-based web server has an average value of 684.75ms (milliseconds). The results of the load impact test on the CloudLinux-based web server using ten virtual users (10VU) has a total value of 7595 requests, load impact using fifteen virtual users (15VU) has a total value of 11315 requests, and finally, load impact using twenty-five virtual users (25VU) has a total value of 18631 requests.
Pendeteksi Lokasi Pengguna Sosial Media Twitter Menggunakan Android Dwiki Jatikusumo; Ida Nurhaida; Devi Fitrianah
Jurnal Ilmu Teknik dan Komputer Vol 5, No 1 (2021)
Publisher : Universitas Mercu Buana

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Abstract

Secara kasat mata, twitter sebagai sosial media yang sering banyak digunakan oleh pengguna, khususnya di Indonesia. Teknik yang dipakai menggunakan location based service. Proses yang dilakukan adalah pengguna mencari kata yang kemungkinan menjadi trending topic, kemudian akan tampil lokasi pengguna yang mempublikasikan kata tersebut melalui sosial media twitter. Target pencapaian jangka panjang riset ini adalah terciptanya sebuah aplikasi pendeteksi pergerakan pergerakan manusia menjadi integrasi ke dalam pusat data.