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All Journal Jurnal Media Infotama Techno.Com: Jurnal Teknologi Informasi Jurnal Pseudocode Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA Infotek : Jurnal Informatika dan Teknologi Jurnal Media Computer Science Digital Transformation Technology (Digitech) Jurnal Dehasen Mengabdi Jurnal Pakar Pengabdian Kesehatan Jurnal Komputer, Informasi dan Teknologi
Riska Riska
Universitas Dehasen Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary

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Pengembangan Pengaturan Lampu Lalu Lintas Berbasis IoT Daniel Daniel; Toibah Umi Kalsum; Riska Riska
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5370

Abstract

Traffic lights are lights that are used to regulate the smooth flow of traffic at a road intersection. The traffic light system in the city of Bengkulu currently still uses a time system that is already installed in the system and does not have a feature for setting the switching time. This system means that operators cannot change the flashing time of traffic lights to suit road conditions and vehicle density at each intersection. In this research, an IoT-based traffic light control system is developed so that it can be controlled centrally using Arduino Mega, Arduino Uno, ENC28J60 as a traffic light machine and using a web-based application as a centralized control system. The research method used is the prototype method, where by using this method there are several processes that must be carried out, including analysis, planning, building a prototype, evaluating initial use, improving the prototype, and implementing and maintaining. The results of this research are that traffic lights can be controlled centrally using a web-based application, where the response time from the Arduino Mega only takes a matter of seconds. From tests carried out on one of the buttons, a response time of 1010.4 ms (milliseconds). Apart from that, the system being built can also display status messages when selecting the status button on the web page based on the selected intersection, then the web application will display information on the intersection status, intersection mode and intersection location.
Analisa Dan Implementasi Keamanan Jaringan Berbasis Firewall RAW Terhadap Serangan DDoS Pada Router Mikrotik Mas Agus Okto Riduan; Riska Riska; Hendri Alamsyah
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.7835

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengimplementasikan keamanan jaringan berbasis Firewall Raw terhadap serangan Distributed Denial of Service (DDoS) pada Router Mikrotik. DDoS merupakan ancaman serius yang dapat mengganggu layanan jaringan, sehingga penting untuk menguji efektivitas Firewall Raw dalam menghadapi serangan tersebut. Dalam penelitian ini, pengujian dilakukan dengan tiga jenis serangan DDoS, yaitu TCP SYN Flood, UDP Flood, dan ICMP Flood, pada jaringan lokal dan jaringan internet. Metode penelitian yang digunakan adalah metode eksperimental, di mana konfigurasi Firewall Raw disesuaikan untuk berbagai protokol yang diuji. Hasil penelitian menunjukkan firewall raw mampu memblokir lebih dari 70% paket serangan DDoS. Dari sisi performansi sebelum firewall raw diaktifkan, penggunaan CPU pada router sebesar 100% dan free memory 5.8 MiB saat serangan terjadi. Ketika Firewall Raw diaktifkan, CPU menurun menjadi 60-70% dan free memory meningkat menjadi 9.8 MiB. Pada pengujian DDoS lewat jaringan internet juga menunjukkan penurunan CPU Load dari 100% turun menjadi 5% dan free memory dari 4.5 MiB meningkat menjadi 8.0 MiB. Pengukuran Quality of Service, menunjukkan tidak terlihat peningkatan yang signifikan saat Firewall Raw diaktifkan. Penelitian ini menyimpulkan bahwa Firewall Raw cukup efektif dalam memblokir sebagian besar paket dari serangan DDoS. Namun, belum mampu meningkatkan stabilitas jaringan karena jaringan masih mengalami penurunan saat Firewall Raw aktif.
IoT-Based Monitoring And Control Of Water Turbidity And Automatic Fish Feeding Nanda Eka Juniawan; Riska Riska; Yessi Mardiana
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9633

Abstract

The development of Internet of Things (IoT) technology has had a significant impact in various fields, including the fisheries sector. In fish farming, water quality and feeding efficiency are important factors that affect fish health and growth. This study aims to design and implement IoT-based automatic fish feed and water turbidity monitoring system. This system uses an ESP32 microcontroller connected to a turbidity sensor to monitor water turbidity levels, an ultrasonic sensor to detect feed levels, and actuator devices in the form of servos and water pumps. Turbidity data and device status are transmitted in real-time via MQTT protocol to web-based monitoring application and an Android app. Test results indicate that the system can accurately monitor water turbidity levels and activate feeding according to a schedule or manually via the user interface. The testing was conducted in a 40x12x15 cm aquarium containing five guppy ornamental fish, and on the seventh day, an increase of 1 NTU was recorded. The implementation of this technology is expected to improve operational efficiency, reduce feed waste, and maintain aquarium environmental quality sustainably..
Co-Authors Abdussalam Al Akbar Andari Anisa Andrik Saputra Angga Syaputera Daniel Daniel Desi Aulia Umami Hari Aspriyono Helvita Sari Hendri Alamsyah Herlina Latipa Sari Ismiarty Oktariany Khairini Aulia Mariza Afrianti Mas Agus Okto Riduan Nanda Eka Juniawan okky abdurahman Rafika Ramlis Riski Amalia Rizka Tri Alinse Toibah Umi Kalsum Yessi Mardiana Yuliana Yuliana