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Implementasi WSN Untuk Monitoring Arus Listrik Lampu Pada Purwarupa Ruangan Berbasis LAN Oktaviani, Sarah; Ristian, Uray; Hasfani, Hirzen
Coding: Jurnal Komputer dan Aplikasi Vol 13, No 1 (2025): Edisi April 2025
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v13i1.90762

Abstract

Wireless Sensor Network (WSN) adalah jaringan sensor nirkabel yang digunakan untuk memantau kondisi tertentu dan mengirimkan data secara real-time ke pusat monitoring. Penelitian ini memanfaatkan NodeMCU ESP32 sebagai pengendali utama dan sensor PZEM-004T untuk mengukur parameter listrik seperti arus. Sistem ini dikembangkan untuk memantau status perangkat listrik secara real-time dan memberikan notifikasi jika terjadi perubahan kondisi. Tujuan penelitian ini adalah mengevaluasi performa sistem monitoring dalam pengiriman data, termasuk delay komunikasi ke website dan buzzer. Hasil pengujian menunjukkan bahwa rata-rata delay pengiriman data ke website di Ruang 1 adalah 3.250 ms, Ruang 2 3.900 ms, dan Ruang 3 3.150 ms. Untuk notifikasi buzzer, rata-rata delay di Ruang 1 adalah 3.400 ms, Ruang 2 3.800 ms, dan Ruang 3 3.300 ms. Berdasarkan standar TIPHON, semua ruangan masuk kategori "BURUK" dengan indeks 1. Sistem berhasil mendeteksi arus listrik sebesar 0,02 ampere secara konsisten saat perangkat menyala, memberikan notifikasi melalui buzzer saat arus terputus, serta menampilkan informasi real-time di website. Hasil ini menunjukkan bahwa sistem mampu bekerja efektif dalam mendeteksi arus listrik, namun masih memiliki keterbatasan dalam waktu respons, terutama terkait delay pengiriman data yang tinggi.  Kata kunci"” WSN, delay, PZEM-004T, buzzer, real-time
Utilization of Artificial Intelligence as a Tool to Assist in Preparation of School Learning Materials on the West Kalimantan Border Ristian, Uray; Ruslianto, Ikhwan; Bahri, Syamsul; Hidayati, Rahmi; Rismawan, Tedy; Suhery, Cucu; Marisa Midyanti, Dwi; Nirmala, Irma; Suhardi; Hasfani, Hirzen; Sari, Kartika; Kasliono; Muhardi, Hafiz
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2025): April 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v2i1.217

Abstract

The use of Artificial Intelligence (AI) as a tool in compiling learning materials in schools has great potential to improve the quality of education, especially in border areas that are often faced with challenges of accessibility and availability of resources. This community service activity aims to fulfill the Tri Dharma of Higher Education by providing contributions to the community while assisting teachers in utilizing AI tools. Through a preliminary study, a needs mapping was carried out together with teachers of SDN 03 Balai Karangan to ensure that the development of AI tools is relevant to learning needs on the West Kalimantan border. The development of this AI tools integrates natural language processing technology to produce learning materials that are in accordance with the curriculum and local characteristics. After development, the AI ??tools is disseminated and practiced in the school environment. It is hoped that through this activity, teachers at SDN 03 Balai Karangan on the West Kalimantan border will be better able to compile quality and relevant learning materials with the help of AI tools, can improve the quality of education and provide real benefits to local students.
Implementasi Smart Helmet Cabinet pada Penyimpanan Helm Berbasis Mobile QR Code Abdahu, Muhammad Raymount; Ristian, Uray; Hasfani, Hirzen
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6593

Abstract

The use of Smart Helmet Cabinet in helmet storage based on Mobile QR Code has been implemented as an innovative solution to overcome the problem of safe and efficient helmet storage. By utilizing QR Code technology, authentication on the system facilitates users in the process of helmet storage and retrieval, as well as ensuring storage security. In addition, several challenges such as the need for reliable access authentication and reduction of access delay are the main focus to improve the effectiveness and reliability of the system. This research discusses the implementation of the Smart Helmet Cabinet by highlighting the benefits as well as potential future developments in improving user experience and security of stored helmets. The ESP32-CAM is used to scan the QR Code to authenticate user access, while the ESP32 NodeMCU controls the relay to open the door of the locker. The test results show that the average delay time for adding locker access is about 4.73 seconds, while access authentication using QR Code takes about 5.99 seconds. The implemented Smart Helmet Cabinet system is able to determine which lockers are given access and identify users by using QR Code as access authentication on the lockers
Purwarupa Sistem Deteksi Dan Pemakaian Arus Listrik Pada Panel Box Listrik Dengan Memanfaatkan Teknolgi Edge Computing Fadhil, Muhammad Fikri; Ristian, Uray; Hasfani, Hirzen
Coding: Jurnal Komputer dan Aplikasi Vol 13, No 3 (2025): Edisi Desember 2025
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v13i3.96069

Abstract

Penggunaan listrik seringkali tidak dapat dipantau secara rinci, menyebabkan penggunaan energi berlebih akibat kurangnya pengawasan. Untuk mengatasi masalah ini, dikembangkan sistem pemantauan penggunaan listrik berbasis teknologi edge computing dengan protokol HTTP. Sistem ini menggunakan NodeMCU ESP32 untuk mengolah data dari modul PZEM-004T yang mengukur arus, tegangan, daya, dan energi. Data dikumpulkan dari penggunaan perangkat elektronik selama 2 jam 12 menit dengan biaya Rp707,56 dan 7 jam 15 menit sebesar Rp1.169. Penggunaan edge computing juga dianalisis untuk mengukur delay, packet loss, dan jitter dalam pengiriman data sensor ke edge server. Hasil pengujian menunjukkan delay 485,07 ms, packet loss 0%, dan jitter 0,087 ms pada uji pertama. Pada uji kedua, delay 162,41 ms, packet loss 0%, dan jitter 0,584 ms. Uji ketiga menunjukkan delay 538,82 ms, packet loss 0%, dan jitter 2,157 ms, sedangkan uji keempat menghasilkan delay 268,53 ms, packet loss 0%, dan jitter 1,369 ms. Sistem ini terbukti mampu memantau konsumsi listrik secara efektif dan memberikan informasi rinci untuk pengawasan energi. Kata kunci - IoT, Edge Computing, Pemantauan Listrik, QoS.