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Designing a Desktop Application for Ship Monitoring and AIS Data Storage Based on RTL-SDR and Raspberry Pi Using Python and PyQt Abiraihan, Muhammad; Marta, Rizkayeni; Syukhri; Saputra, Hadi Kurnia
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 2 (2024): Journal of Hypermedia & Technology-Enhanced Learning—Meta World
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i2.118

Abstract

This research aims to develop a desktop application for Monitoring Ships and storing data from the Automatic Identification System (AIS) utilizing Realtek Software Defined Radio (RTL-SDR) and Raspberry Pi devices. The development method employed is the waterfall model, using Python and PyQt as the main programming languages. Black-box testing was conducted on the application, covering aspects such as decoding AIS messages, real-time monitoring, historical data storage, and statistical analysis of the data. The test results indicate that the application successfully addresses challenges faced by the simple AIS receiver, achieving the research objectives by accurately decoding AIS messages, monitoring ship journeys in real-time, storing AIS data as historical data, and presenting informative statistical data. Despite some lag, especially on the Raspberry Pi device, the application contributes positively with improved accuracy and functionality. Further evaluation, technological updates, and integration with other devices are expected to enhance the application's performance. The use of Python and PyQt provides a foundation for further development to enhance the quality of ship navigation systems. It is recommended to involve the decoding of other AIS message types in future research and to consider building a ship journey simulation system for an interactive user experience.
Development of an Online Platform for Lesson Scheduling and Grade Management at MAN 1 Padang Using Waterfall Methodology Surya Sahputra; Mursyida, Lativa; Kurniadi, Denny; Syukhri
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 2 (2024): Journal of Hypermedia & Technology-Enhanced Learning—Meta World
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i2.131

Abstract

This research focuses on developing an online platform for lesson scheduling and grade management at MAN 1 Padang using the Waterfall methodology. The platform adopts a structured Model-View-Controller (MVC) architecture to optimize efficiency and modularity, ensuring easier updates and maintenance. By utilizing Laravel as the framework and MySQL as the database, the system offers robust performance and scalability. The platform facilitates various administrative tasks, including lesson scheduling, grading, and real-time report access for students and parents, enhancing transparency and engagement. Blackbox testing results show high functionality across key performance areas such as content clarity, interface usability, navigation, security, and system responsiveness. This development aims to address inefficiencies in manual scheduling and grading processes, providing a streamlined, automated solution that improves overall academic management at MAN 1 Padang. The system is expected to increase the institution’s operational efficiency, contribute to better learning outcomes, and foster stronger communication between the school, students, and parents.
Audit Sistem Informasi pada E-Learning Universitas Negeri Padang Menggunakan Framework COBIT 4.1 Syukhri; Giatman, M; Ambiyar; Simatupang, Wakhinuddin; Syahril
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v10i2.3014

Abstract

Penelitian ini bertujuan untuk mengetahui sejauh mana kinerja e-learning UNP khususnya bagi mahasiswa tahun masuk 2020 dan memberikan rekomendasi terhadap tata kelola perbaikan sesuai dengan framework COBIT 4.1 khususnya pada domain Delivery and Support serta Monitoring and Evaluate. Pengumpulan data dilakukan dengan penyebaran kuesioner kepada mahasiswa tahun masuk 2020 dengan sampel sebanyak 98 responden. Metode yang digunakan adalah deskriptif dengan pendekatan kualitatif. Penelitian ini menghasilkan tingkat kematangan e-learning UNP berada pada level 4 yaitu managed and measureable dimana UNP telah memiliki sejumlah indikator atau ukuran kuantitatif yang dijadikan sebagai sasaran maupun objektif kinerja setiap penerapan aplikasi teknologi informasi yang ada.