RANCANG BANGUN TEKNOLOGI EARLY WARNING SYSTEM UNTUK BENCANA BANJIR DI PULOGADUNG BERBASIS INTERNET OF THINGS

YUDHA DEWANTARA, . (2022) RANCANG BANGUN TEKNOLOGI EARLY WARNING SYSTEM UNTUK BENCANA BANJIR DI PULOGADUNG BERBASIS INTERNET OF THINGS. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan untuk merancang suatu teknologi early warning system banjir di Pulogadung berbasis Internet of Things yang digunakan untuk mengukur ketinggian permukaan air. Teknologi early warning system banjir dapat menampilkan data ketinggian permukaan air dan mengirim notifikasi pada Blynk. Metode yang digunakan pada penelitian ini adalah metode Research and Development (R&D) Borg and Gall. Tahapan yang digunakan terdiri dari delapan tahapan, yaitu; potensi dan masalah, pengumpulan data, desain produk, validasi desain, revisi desain, ujicoba produk, revisi produk, dan ujicoba pemakaian. Berdasarkan hasil pengujian dapat dilihat dari rata-rata error pengukuran menggunakan sensor Maxsonar MB7389 di laboratorium sebesar 3,1 % yang artinya sensor tersebut dapat digunakan untuk mengukur ketinggian permukaan air dan hasil pengujian sensor MB7389 di lapangan dapat terlihat nilai pengukuran ketinggian permukaan air secara real-time pada Blynk. Kemudian pengujian sensor DHT22 memiliki rata-rata error sebesar 1,5 % pada uji suhu, dan rata-rata error sebesar 6,1 % pada uji kelembapannya yang artinya sensor DHT22 dapat digunakan untuk mengukur suhu dan kelembapan pada alat, adapun pada uji notifikasi Blynk diketahui bahwa notifikasi berhasil terkirim. Berdasarkan hasil pengujian tersebut dapat dikatakan bahwa teknologi early warning system banjir mampu mengukur ketinggian permukaan air secara real-time dan dapat memonitoring data ukur melalui Blynk. ***** This study aims to design a flood early warning system technology in Pulogadung based on the Internet of Things that is used to measure the water level. Flood early warning system technology can display water level data and send notifications to Blynk. The method used in this study is the Borg and Gall Research and Development (R&D) method. The stages used consist of eight stages, namely; potentials and problems, data collection, product design, design validation, design revisions, product trials, product revisions, and usage trials. Based on the test results, it can be seen from the average measurement error using the Maxsonar MB7389 sensor in the laboratory of 3.1%, which means that the sensor can be used to measure the water level and the results of the MB7389 sensor test in the field can be seen that the measurement value of the water level is real-time. time on Blynk. Then testing the DHT22 sensor has an average error of 1.5% in the temperature test, and an average error of 6.1% in the humidity test, which means that the DHT22 sensor can be used to measure temperature and humidity on the device, as for the Blynk notification test note that the notification was successfully sent. Based on the test results, it can be said that the flood early warning system technology is capable of measuring the water level in real-time and can monitor measuring data through Blynk.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Rafiuddin Syam, S.T, M.Eng, Ph.D. ; 2). Vina Oktaviani, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Users 17434 not found.
Date Deposited:	02 Mar 2023 05:50
Last Modified:	02 Mar 2023 05:50
URI:	http://repository.unj.ac.id/id/eprint/37567

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