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Sistem Monitoring Dan Deteksi Dini Terjadinya Gempa Berbasis Iot (Internet Of Things) Fatimah, Fitri; Abdy, Sahara; Ramadhany, Sri; Fitriani, Pristiwati; Afifudin
Journal of Informatics Management and Information Technology Vol. 5 No. 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i1.472

Abstract

Designing and developing systems capable of monitoring ground tremors in real-time and providing early warning before major earthquakes occur, increasing speed and accuracy in detecting potential earthquakes. This technology is known as an Internet of Things (IoT)-based earthquake monitoring and early detection system that uses motion sensors. To detect seismic activity, the system uses several motion sensors connected to the Internet of Things network. These motion sensors measure changes in ground vibration and transmit the data to a central server, which will process it to detect possible earthquakes. This research uses a methodology consisting of several stages. First, primary data is collected from motion sensors located in various earthquake-prone locations. This data is sent to a central server over the internet network. Furthermore, digital signal processing algorithms are used to analyze data to distinguish normal ground tremors from those that can signal earthquakes. This algorithm was created to identify suspicious changes in the intensity and frequency of ground vibrations. The system then sends a warning or notification to the user's device, such as a smartphone or computer, if a potential earthquake is detected. According to BMKG (Meteorology, Climatology, and Geophysics Agency) Earthquake intensity scale (GIS) states the impact caused by earthquakes. This scale is arranged more simply by having only five levels, namely I-V, where each level has its own meaning, level I is marked with white and level II is marked with green and level III is marked with yellow and level IV is marked with orange and the last level V is marked with red, and each level has its own meaning. The results show that the designed system can detect vibrations with high accuracy and provide early warning within seconds after suspicious seismic activity is detected. In addition, this system has a speed of sending data from the sensor to the server and good performance in the use of the internet network. IoT-based motion sensors allow for broader and decentralized monitoring of earthquakes. So, this Internet of Things-based earthquake monitoring and early detection system can be a good solution to improve earthquake disaster preparedness. By applying these technologies in different earthquake-prone areas, they can help spread and respond to potential earthquakes more quickly
Gerakan Literasi Digital untuk Anak Down Syndrome Marhamah, Marhamah; Harun Achmad, Muhammad; Horax, Sherly; Fajriani, Fajriani; Maddeppungeng, Martira; Ramadhany, Sri; Erika, Kadek Ayu; Mutmainnah, Nurul; Apriliani, Fitri; Radiyusman, Jumiati; Palinggi, Anastasia Melisa; Sukma, Normayanti; Furoida, Yusnida
Bambu Laut: Jurnal Pengabdian Masyarakat VOLUME 3, NOMOR 1, APRIL 2026
Publisher : Fakultas Ilmu Kelautan dan Perikanan Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35911/bambulaut.v3i1.47383

Abstract

Anak dengan Down Syndrome lebih rentan mengalami masalah kesehatan gigi dan mulut seperti karies, gingivitis, maloklusi, dan keterlambatan erupsi gigi. Kondisi ini diperparah oleh keterbatasan motorik serta rendahnya pemahaman anak dan orang tua dalam menjaga kebersihan gigi dan mulut. Kegiatan ini bertujuan untuk meningkatkan literasi kesehatan gigi dan mulut pada anak Down Syndrome melalui media buku Augmented Reality (AR) 3D sebagai sarana edukasi interaktif dalam Gerakan Literasi Digital. Kegiatan dilaksanakan pada Juli - September 2025 di Rumah Singgah Komunitas Orang Tua Anak dengan Down Syndrome (KOADS), Makassar. Tahapan kegiatan meliputi: (1) survei dengan melakukan pemeriksaan gigi dan mulut serta melakukan pre-test kuesioner; (2) pembuatan buku AR; (3) post-test kuesioner dalam rangka pengumpulan data dan dampak dari buku AR; dan (4) pendampingan interaktif oleh residen (PPDGS). Hasil pre-test menunjukkan rata-rata skor 7,6 dan meningkat menjadi 18,3 pada post-test. Anak menunjukkan antusiasme lebih tinggi dalam belajar, sementara orang tua merasa terbantu dalam mendampingi anak menyikat gigi. Pemeriksaan gigi juga menemukan kasus karies yang dapat ditindaklanjuti. Penggunaan buku AR 3D terbukti efektif meningkatkan pemahaman serta partisipasi anak dan orang tua.