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Real-Time IoT-Based Solar Power Monitoring System Using Threshold Decision Algorithm and Mobile Push Notifications Afif Fathur Rachman; Yasdinul Huda; Ika Parma Dewi; Hadi Kurnia Saputra; Asnal Effendi
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 14 No 1 (2026): TEKNOIF APRIL 2026 (In Progress)
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2026.V14.1.11-23

Abstract

The establishment of solar power installations as a renewable energy option necessitates dependable monitoring systems to ensure peak performance. Nonetheless, current monitoring solutions typically emphasize only data visualization, lacking intelligent early warning features, which results in slower fault detection and faster battery deterioration. This research tackles this gap by creating a mobile monitoring system based on the Internet of Things (IoT), where both the threshold-based decision algorithm and notification logic are fully integrated into the mobile application, rather than the IoT hardware. The system employs an ESP8266 microcontroller exclusively for gathering data from a PZEM-017 DC sensor, transmitting raw readings to Firebase Realtime Database. A mobile application built on Flutter fetches data, checks it against user-defined thresholds (voltage, current, power), and produces immediate push notifications with anti-spam delays, audio alerts, and optional Telegram sending. Experimental outcomes from 30 measurement locations and 50 anomaly simulations indicate that the system reaches a voltage measurement error of 1.22% and a current error of 9.90% in comparison to a calibrated multimeter. The typical notification delay is 3.4 seconds, significantly less than the 10-second goal. In contrast to edge-based thresholding (on microcontroller), the mobile-centric method enables users to modify thresholds flexibly through the app without the need for hardware reprogramming, offers more extensive notification options (local pop-up, sound, Telegram), and streamlines IoT device upkeep. The specialized mobile interface provides enhanced customization and data logging features in comparison to standard platforms like Blynk or Telegram-based options.
Rancang Bangun Sistem Informasi Manajemen Inventaris Sekolah di SMA Negeri 6 Solok Selatan Aldeki Adia; Yasdinul Huda
MASALIQ Vol 5 No 3 (2025): MASALIQ: Jurnal Pendidikan dan Sains
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i3.5871

Abstract

The manual inventory management system in schools presents various challenges, such as low efficiency, accuracy, and transparency in asset recording and reporting. This study aims to design and implement a web-based School Inventory Management Information System at SMA Negeri 6 Solok Selatan to support more effective and systematic inventory data management. Employing the Waterfall software development method and the Unified Modeling Language (UML) approach, the system was designed based on data collected through user observation and interviews, and functionally tested. The system was developed using the Laravel framework, PHP programming language, and MySQL database. The results show that the system successfully digitizes the entire process of inventory recording, storage, monitoring, and reporting. Features such as data search, asset grouping, and periodic reports facilitate inventory teachers in performing their tasks more efficiently and accurately. Moreover, the system enhances transparency and accountability in school asset management. In conclusion, the implementation of this information system significantly contributes to improving the quality of inventory management and is recommended as a digital solution for other schools facing similar challenges.