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All Journal Jurnal Atma Inovasia Jurnal Komputer dan Teknologi (JUKOMTEK)
Guido Adolfus Suni
Universitas Timor
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Library & Information Science Social Sciences Other

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Implementasi Media Pembelajaran Sains dan Teknologi Miniatur Longsor Berbasis IoT di SD Negeri Lulu Anastasia Kadek Dety Lestari; Regolinda Maneno; Emanuel M.Y. Hanoe; Guido Adolfus Suni
Jurnal Atma Inovasia Vol. 6 No. 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v6i1.13099

Abstract

North Central Timor Regency has a high level of landslide vulnerability, while students’ understanding of disaster mitigation remains low. This community service program aims to enhance the science and technology literacy of students at SD Negeri Lulu through learning activities using an Internet of Things (IoT)-based landslide miniature as an educational medium. The miniature is designed to simulate landslide processes with IoT sensors that monitor soil moisture, allowing students to directly observe the relationship between environmental conditions and landslide potential. Through this activity, science and technology learning becomes more contextual, interactive, and engaging for elementary school students. The program also supports Sustainable Development Goals (SDGs) 4 (Quality Education), 11 (Sustainable Cities and Communities), and 13 (Climate Action). The integration of technology in science education has proven effective in improving students’ understanding of abstract geophysical and environmental concepts. Through experiments using the IoT-based miniature, students not only gain theoretical knowledge but also understand the practical application of technology in analyzing natural phenomena. This activity is expected to serve as a model for science and technology learning based on disaster mitigation in landslide-prone areas.
PENERAPAN TEKNOLOGI IOT UNTUK SISTEM PERINGATAN DINI GEMPA DENGAN NOTIFIKASI TELEGRAM DAN BLYNK Guido Adolfus Suni; Lambano Kavin Balol
Jurnal Komputer dan Teknologi Vol 5 No 1 (2026): JUKOMTEK JANUARI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i1.540

Abstract

In recent years, earthquakes have become one of the most frequent natural disasters in Indonesia. Unfortunately, the existing earthquake early warning system is still centralized and has not effectively reached the household scale. This study aims to design and implement an Internet of Things (IoT)-based earthquake early warning system by utilizing the SW-420 vibration sensor and the NodeMCU 8266 microcontroller. This system is designed to be able to detect vibrations in real-time and provide automatic notifications via the Telegram and Bylnk applications to users. The research method used is the engineering research method with a descriptive approach including the stages of hardware design, software programming, and system testing. The implementation results show that the system is able to detect vibrations accurately with an average response rate of less than one second, and successfully sends real-time notifications to users via Telegram and Bylnk. Thus, this system can be used as an alternative solution for simple earthquake early warning that is effective, economical, and easy to implement in the home environment.
Co-Authors Anastasia Kadek Dety Lestari Emanuel M. Y. Hanoe Lambano Kavin Balol Maneno, Regolinda