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All Journal JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Rozin Arkan
Politeknik Harapan Bersama
Dentistry Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Peningkatan Pengetahuan Penggunaan Raspberry Pi Sebagai Sistem Kontrol Perangkat dan Monitoring Data Sensor Berbasis IoT di SMK N 1 Brebes Ulil Albab; Qirom; Bahrun Niam; Rozin Arkan; Muhammad Faruq Elhaq
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 4 No 2 (2023)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v4i2.1252

Abstract

Internet of Things (IoT) merupakan konsep yang bertujuan untuk melakukan suatu tindakan terhadap perangkat elektronik baik dikontrol maupun monitoring melalui internet. Tentunya pemanfaatan IoT membantu dan memudahkan segala aktivitas manusia. Kegiatan pengabdian kepada masyarakat yang dilakukan yaitu mengenalkan siswa SMKN 1 Brebes membuat IoT sederhana menggunakan Raspberry PI. Metode yang digunakan adalah penentuan objek, perencanaan, pelaksanaan dan evaluasi. Hasil kegiatan yang telah dilaksanakan siswa dapat mengidentifikasi cara kerja maupun pembuatan IoT seperti mengontrol led dan monitoring suhu menggunakan sensor DHT melalui smarthphone Android.
Rancang Bangun Alarm Gempa Menggunakan Mikrokontroler ESP8266 Berbasis Android Ulil Albab; Rony Darpono; Rozin Arkan
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 4 No. 2 (2024): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v4i2.5697

Abstract

Earthquakes are natural disasters that can occur without warning. Earthquakes originate from vibrations in the earth's bowels that spread to the surface caused by cracks in the earth breaking and shifting violently. Anticipating the impact of an Earthquake can be done using an ESP8266 Microcontroller which is integrated with a Piezoelectric Sensor as the Main Sensor. The Piezoelectric Sensor output is sent and saved to a MySQL Database with test parameters in the form of object weight and distance. The output data results are processed in the form of Java Script Object Notation (JSON) and described by Android. The testing stage was carried out using stones weighing 1 kg, 3kg and 5kg and distances of 25cm, 50cm and 75cm. The results of the tool testing produced a vibration value with the lowest value being 24 and the highest value being 601. Earthquake detection is divided into three categories, namely weak, moderate and strong, based on sensor reading values. The weak category is set in the value range 24-106, moderate in the range 107-199, and strong for reading values above 200.
Co-Authors Bahrun Niam Muhammad Faruq Elhaq Qirom Rony Darpono Ulil Albab