Almasri Almasri
Fakultas Ekonomi dan Ilmu Sosial Universitas Islam Negeri Sultan Syarif Kasim Riau

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Rancang Bangun Sistem Pengukur Ketinggian Permukaan Air untuk Peringatan Dini Banjir Berbasis Internet of Things Guci, Putra Fajar Adhari; Faiza, Delsina; Almasri, Almasri; Anori, Sartika
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.31060

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan alat pendeteksi banjir berbasis Internet of Things (IoT) guna memberikan peringatan dini kepada masyarakat. Sistem ini menggunakan NodeMCU ESP 8266 yang terhubung dengan sensor ultrasonik untuk mengukur ketinggian permukaan air, serta modul komunikasi untuk mengirimkan data secara real-time ke aplikasi pemantauan. Metode waterfall di gunakan dalam proses pengembangan, meliputi tahap Analisis, Perancangan, Implementasi, Pengujian, dan Pemeliharaan. Hasil pengujian menunjukkan bahwa alat dapat mendeteksi kenaikan ketinggian permukaan air secara konsisten dan mengirimkan notifikasi peringatan ke aplikasi setelah ambang batas terlampaui. Sistem ini juga mampu beroperasi secara stabil dengan respons cepat, bekerja dengan baik, dan bisa memberi peringatan dini yang fleksibel bagi pengguna tanpa gangguan. Penggunaan alat ini diharapkan dapat meminimalkan risiko kerugian akibat banjir dengan memberikan waktu yang cukup bagi warga untuk melakukan evakuasi dan persiapan.
Optimizing Educational Assessment: The Practicality of Computer Adaptive Testing (CAT) with an Item Response Theory (IRT) Approach Huda, Asrul; Firdaus, Firdaus; Irfan, Dedy; Hendriyani, Yeka; Almasri, Almasri; Sukmawati, Murni
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2217

Abstract

This research aims to develop a Computer Adaptive Test (CAT) system using the Items Response Theory (IRT) approach. This study is part of developing a web-based system using the Research and Development (R&D) method, employing the Four-D (4-D) model. At its core, this system is similar to a Computer-Based Test (CBT). Still, the critical difference lies in its ability to randomize and provide questions that align with the test-taker's skill levels using the Items Response Theory (IRT) algorithm. The system employs the 3-PL model from the Items Response Theory, considering the difficulty level of questions, the discriminative power of questions, and the likelihood of guessing or interference in the questions. The examination system randomly assigns questions to students based on their responses to previous questions, ensuring that each test-taker receives a unique question sequence. The exam concludes when a test-taker accurately estimates their ability, i.e., SE <= 0.01, or when all questions have been answered. The outcome of this research is a Computer Adaptive Test (CAT) system based on the Items Response Theory (IRT), which can be used to assess students' learning outcomes. This research was implemented in the Multimedia Department of SMK Negeri 1 Gunung Talang, with 90 students as the research sample. The evaluation of the practicality of this system received very high scores, indicating that the Computer Adaptive Test (CAT) system based on the Items Response Theory (IRT) is considered highly practical and effective in achieving the established measurement goals.
Performance Analysis of an ESP32-Based Integrated Smart Home Access System: A Laboratory Scale Study Fikri, Ryan; Dwinggo Samala, Agariadne; Faiza, Delsina; Almasri, Almasri
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 4 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i4.136492

Abstract

This study developed and evaluated an integrated Internet of Things (IoT)-based access control system that unifies residential gate operation, garage door automation, and garage lighting within a single platform. Conventional home automation deployments typically address only one function at a time, resulting in fragmented control and limited interaction between subsystems. Compared to prior smart home implementations that focus on single subsystems, the proposed platform jointly manages gate, garage door, and lighting and reports scenario-based reliability metrics. To address this gap, the proposed system used an ESP32 microcontroller as the central controller, ultrasonic distance sensors for vehicle detection, servo motors for mechanical actuation, and a relay module for lighting control. A mobile application built with the Blynk platform provided real-time monitoring and remote control via smartphone. The prototype was tested under three scenarios-manual mobile control, fully automatic sensor-triggered operation, and combined operation-with 20 repeated cycles per scenario. Performance metrics included servo actuation time, communication latency between the mobile application and the ESP32, sensor accuracy, and operational reliability. The gate and garage door achieved opening times of approximately 1.0-1.2 s and 1.5 s, respectively, while end-to-end communication latency remained between 300 ms and 480 ms across all tests. Ultrasonic distance measurements showed a maximum error of 1.8 cm and an average error below 1.2 cm, with no system failures in any scenario. These results demonstrate that the integrated design is technically feasible, reliable, and suitable as a cost-effective foundation for residential access control.  Future work will focus on scaling the prototype toward full-size installations and extending integration with additional smart home services.