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All Journal Annual Research Seminar Jurnal Informatika Global Journal of Information Systems and Informatics
Husnawati Husnawati
Universitas Indo Global Mandiri
Computer Science & IT

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Journal : Jurnal Informatika Global

 1 
Visualisasi Trafik Jaringan Dengan Metode Support Vector Machine (SVM) (Studi Kasus: Universitas Indo Global Mandiri) Tasmi Tasmi; Reza Maulana; Husnawati Husnawati
Jurnal Informatika Global Vol 12, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v12i2.1939

Abstract

Limited network resources and the increasing number of internet users in the current digital era have an impact on high traffic which results in decreased access speed to internet services. This is also a problem that occurs at the Indo Global Mandiri University (UIGM) Palembang, causing access to academic services to be slow. The purpose of this research is to identify the types of network traffic patterns which are then carried out by the process of grouping and visualizing these types of traffic. The data in this study were taken in real-time at the UIGM campus. The data obtained is the result of responses which are then extracted. The extraction results are processed using the Support Vector Machine (SVM) method for the process of grouping and visualizing data. The results of this study can distinguish types of traffic based on communication protocols, namely tcp and udp, where the results of the experiment were carried out six times with the results being the first experiment where 99.7% TCP and 0.1% for UDP, the second experiment 97.6% for TCP and 1.1% for UDP , trial three 99.7 % TCP and 0.2% UDP, trial four 97.5% and 1.3% UDP, trial five 99.5 TCP and 02% UDP, and the sixth or final try 97.7% TCP and 1.1% UDP. The data from the use of the SVM method obtained several types of traffic such as games by 0.4%, mail 0.2%, multimedia 0.4% and the web by 82.8% and this research still produces data that the pattern is not yet recognized by 15.5% Keywords : Network Traffic, Classification, Support Vector Mesin
Penerapan Metode Fuzzy Sugeno Sebagai Sistem Navigasi Robot Menggunakan Mikrokontroler Arduino dan Sensor Ultrasonik Husnawati Husnawati
Jurnal Informatika Global Vol 9, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.991 KB) | DOI: 10.36982/jiig.v9i1.483

Abstract

Abstract In the era of industrial technology and automation, robots are widely used as a tool that can ease human work, so the robot which has a good control system is needed so that the work done by the robot can be optimized. The development of control systems in robots is currently quite rapid along with increasingly diverse human needs. Several methods are applied to the robot control system automatically. Fuzzy logic is a method that is most used in navigating robot motion. In this study will be applied Sugeno type fuzzy logic method as a robot navigation system which embedded in Arduino Uno microcontroller and ultrasonic sensor is used as distance input value, in each robot path is given 30 cm obstacle so that the PWM value generated by the robot can be measured. The results obtained in this study is the Sugeno fuzzy logic method which embedded in the Arduino Uno microcontroller can control the motion of the robot and avoid the obstacles in the environment well.Keywords: Control System, Navigation, Fuzzy Logic, Arduino, Ultrasonic Sensor Abstrak Pada era teknologi dan otomasi industri saat ini banyak digunakan robot sebagai alat bantu yang dapat meringankan pekerjaan manusia, sehingga dibutuhkan robot yang memiliki sistem pengendalian yang baik agar pekerjaan yang dilakukan oleh robot tersebut dapat lebih optimal. Perkembangan sistem pengendalian pada robot saat ini cukup pesat seiring dengan kebutuhan manusia yang semakin beragam. Beberapa metode banyak diterapkan pada sistem pengendalian robot secara otomatis. Logika fuzzy merupakan metode yang banyak digunakan dalam navigasi gerak robot. Sehingga pada penelitian ini akan diterapkan metode logika fuzzy dengan tipe Sugeno sebagai sistem navigasi robot yang ditanamkan pada mikrokontroler Arduino uno dan digunakan sensor ultrasonik sebagai nilai inputan jarak, pada masing – masing lintasan robot diberikan halangan sejauh 30 cm sehingga nilai pwm yang dihasilkan oleh robot dapat terukur. Hasil yang diperoleh pada penelitian ini adalah metode logika fuzzy Sugeno yang ditanamkan pada mikrokontroler Arduino uno dapat mengendalikan gerak robot dan menghindari halangan yang berada di sekitar lingkungan dengan baik.Kata kunci : Sistem Kendali, Navigasi, Logika Fuzzy, Arduino, Sensor Ultrasonik.
Co-Authors Herri Setiawan Herri Setiawan Reza Maulana Rian Rahmanda Putra Rossi Passarella Tasmi, Tasmi