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Journal : Jurnal Media Infotama

SISTEM MONITORING KETINGGIAN OMBAK AIR LAUT SECARA REAL-TIME BERBASIS IoT Dedi Apriadi; Toibah Umi Kalsum; Hendri Alamsyah
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4422

Abstract

Indonesia is an archipelagic country where most of its territory is water, so all activities carried out in water, especially the sea, are an important part of the life of the Indonesian people. The height of the sea waves is a phenomenon that greatly affects the efficiency and safety of people when they are in sea waters. The process of obtaining sea wave height data requires an appropriate system. So this study designed a prototype system for monitoring the height of sea waves in real-time based on IoT. The method used is the waterfall, where the ultrasonic sensor will be connected to the ESP-8266 nodemcu so that real-time sea wave height data is obtained through the user interface on the Thinger IO Platform. In addition, the system uses red, yellow, and green LEDs as indicators of the height of the water waves. These results indicate that the application of real-time IoT-based sea wave height systems has good capabilities. This is indicated by the user being able to see real-time monitoring data on sea wave height based on IoT with the display of numbers, graphs, and LED indicator lights. For the seawater level scale used in the system, the LED indicator lights in red are 0-10 cm,yellow are 11-20 cm, and green are 21-30 cm.
MEMBANGUN SERVER LEARNING MANAGEMENT SYSTEM SEBAGAI MEDIA PEMBELAJARAN PADA KURSUS KOMPUTER LPK SULTHOON 4M DENGAN UBUNTU SERVER Martoni, Martoni; Kalsum, Toibah Umi; Alamsyah, Hendri
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.v20i1.5326

Abstract

Utilizing the use of the Learning Management System can help the Skills Institute at LPK Sulthoon 4M in facilitating online learning. The learning management system implemented on a virtual private server (VPS) aims to use a more economical server. The research method used is the Waterfall Prototype method which involves gathering requirements, building a prototype, evaluating the system, testing the system, evaluating the system and using the system. The Learning Management System runs on Moodle software which is used by admins, course instructors and students. This Moodle software accelerates and facilitates students learning online without time limits. From the research results, this system makes it easier for students to study courses at training institutions and courses by applying information technology.
Analisa Dan Implementasi Keamanan Jaringan Berbasis Firewall RAW Terhadap Serangan DDoS Pada Router Mikrotik Riduan, Mas Agus Okto; Riska, Riska; Alamsyah, Hendri
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.