Claim Missing Document
Check
Articles

Found 2 Documents
Search

CLOUD-BASED DATABASE MANAGEMENT UNTUK SISTEM LABORATORIUM VOKASIONAL TEKNIK ELEKTRO Aribowo, Didik; Albaarik, Nur Yauma; Ulhaq, Muhamad Zia; Nazifah, Imratul; Nurasiyah, Siti; Azim, Ahmad Rifa Putu; Nadiroh, Lailatul; Permana, Ghifari; Erniyawati, Erniyawati
Jurnal Inovasi dan Teknologi Pendidikan Vol. 4 No. 1 (2025): Jurnal Inovasi dan Teknologi Pendidikan
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jurinotep.v4i1.166

Abstract

This study aims to develop a cloud-based database management system to enhance the efficiency of managing the Electrical Engineering Vocational Laboratory. The system was designed based on observations of conventional, non-digitalized methods, complemented by literature reviews and direct interviews. Performance testing using Google PageSpeed Insight showed highly optimal results, with perfect performance scores of 100 on desktop and 95 on mobile. The system architecture follows a modular design using the MVC (Model-View-Controller) approach, ensuring efficient development and maintenance. website visit statistics in April 2025 reflected active system usage during academic periods, with resource efficiency during idle times. The results demonstrate that this cloud-based system provides high flexibility, speed, and scalability, making it an ideal solution for supporting vocational education digitalization in the industry 4.0 era
Analisis Performa PID, Fuzzy-PID, dan Model Predictive Control (MPC) untuk Pengaturan Ketinggian Air Bendungan Ulhaq, Muhamad Zia; Desmira , Desmira; Azamah , Miftakhul; Nazifah , Imratul; Rizkiana, Meisya Dwi; Pratama, Yoga Angga
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 6 No. 1 (2026): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v6i1.1063

Abstract

This study analyzes the performance of three types of controllers—PID, Fuzzy-PID, and Model Predictive Control (MPC)—in maintaining water level stability in a dam system. Proper water level regulation is essential to prevent flooding, ensure adequate water distribution, and maintain the structural safety of the dam. Previous studies have widely implemented PID and Fuzzy-PID controllers; however, MPC offers significant advantages through system prediction and multivariable optimization. This research compares the performance of the three controllers through simulation analysis using a second-order mathematical model. The results indicate that MPC has the potential to deliver a faster settling time and a smaller steady-state error compared to PID and Fuzzy-PID, although it requires higher computational complexity.