SISTEM MONITORING SUHU HEWAN MARMOT MENGGUNAKAN RASPBERRY PI BERBASIS IoT

FARIDA NURHASANAH, . (2020) SISTEM MONITORING SUHU HEWAN MARMOT MENGGUNAKAN RASPBERRY PI BERBASIS IoT. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

ABSTRAK Farida Nurhasanah, Sistem Monitoring Suhu Hewan Marmot Menggunakan Raspberry Pi Berbasis IoT. Skripsi. Jakarta: Program Studi Pendidikan Teknik Elektronika, Fakultas Teknik, Universitas Negeri Jakarta, 2020. Dosen Pembimbing, Dr. Muhammad Yusro, MT dan Taryudi, Ph.D. Tujuan penelitian ini adalah merancang dan mengembangkan sistem pendeteksi suhu tubuh pada hewan dengan menggunakan kamera berbasis IoT untuk memudahkan pemilik hewan memantau kondisi hewan yang dimilikinya.Penelitian ini dilakukan dengan menggunakan metode rekayasa teknik dengan tahapan Research and Development (R&D). Sistem yang dibuat, direalisasikan menggunakan 2 subsistem yaitu : (1) Kamera NoIR AMG8833, (2) (3) Raspberry Pi 3 Model B+. Hasil pengukuran pada alat dibuat dan diolah menggunakan image processing.Hasil dari penelitian menunjukkan bahwa kinerja sistem alat berjalan dengan baik dapat mengukur suhu dari minimal 25oC sampai dengan 50oC. Jika dibandingkan dengan alat konvensional alat ini dapat mengukur suhu tubuh hewan marmot dengan persentasi error 2,85%. Kata-Kata Kunci : Suhu Marmot, Kamera Thermal, Raspberry Pi, IoT. ABSTRACT Farida Nurhasanah, Marmot Animal Temperature Monitoring System Using Raspberry Pi Based on IoT. Minithesis. Jakarta, Major Education of Electronics Engineering, Faculty of Engineering, Universitas Negeri Jakarta, 2020. Supervisor are Dr. Muhammad Yusro, MT dan Taryudi, Ph.D. The purpose of this study is to design and develop a body temperature detection system in animals using an IoT-based camera to make it easy for animal owners to monitor the condition of the animals they have. This research was conducted using engineering methods with stages of Research and Development (R&D). The system is created, realized using 2 subsystems, that is: (1) Kamera NoIR AMG8833, (2) (3) Raspberry Pi 3 Model B+. The measurement results on the device are made and processed using image processing. The results of the study showed that the performance of the tool system was running properly could measure temperatures from a minimum of 25oC to 40oC . When compared with conventional tools, this tool can measure the body temperature of guinea pigs with an error percentage of 2.85%. Keywords: Marmot Temperature, Thermal Camera, Raspberry Pi, IoT.

Item Type:	Thesis (Sarjana)
Additional Information:	1) Dr. Muhammad Yusro, MT 2) Taryudi, Ph.D
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Users 879 not found.
Date Deposited:	11 Mar 2020 14:40
Last Modified:	11 Mar 2020 14:40
URI:	http://repository.unj.ac.id/id/eprint/4241

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