ANALISIS EFISIENSI KONSUMSI DAYA PENGOPERASIAN MIKROKONTROLER ESP PADA IMPLEMENTASI SISTEM MONITORING PERTANIAN BERBASIS IOT

Irga, . (2023) ANALISIS EFISIENSI KONSUMSI DAYA PENGOPERASIAN MIKROKONTROLER ESP PADA IMPLEMENTASI SISTEM MONITORING PERTANIAN BERBASIS IOT. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

ESP is an IoT-based microcontroller. One of its uses is the precision farming system, which is an activity to monitor the condition of agricultural land to produce good agricultural products, but agricultural areas that are far from power sources make the microcontroller's energy limited. This difficulty can be overcome with deep sleep mode which is an energy saving system on the microcontroller. The tests carried out were testing three types of ESP microcontrollers to determine the level of efficiency in deep sleep mode for agricultural monitoring systems. The test was carried out by taking as many as 100 samples of current and voltage data on the three ESPs during deep sleep and normal mode. The power efficiency results obtained on the ESP microcontroller are ESP 32 DEVKIT V1 WROOM 87.10883974%, ESP 32 DF Robot FireBeetle 99.87277596%, and ESP 8266 NODEMCU 80.2693633%. The usage time for monitoring the implementation of agricultural systems resulted in ESP 32 DEVKIT V1 WROOM 20 days 5 hours 38 minutes, ESP 32 DF Robot FireBeetle 186 days 15 hours 40 minutes, and ESP 8266 NODEMCU 24 days 1 hour 53 minutes.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1910314004] [Pembimbing: Fajar Rahayu] [Penguji 1: Henry Binsar Hamonangan Sitorus] [Penguji 2; Achmad Zuchriadi]
Uncontrolled Keywords: Mikrokontroler ESP, Deepsleep, Konsumsi Daya, dan Monitoring
Subjects: Q Science > Q Science (General)
Q Science > QK Botany
S Agriculture > S Agriculture (General)
S Agriculture > SB Plant culture
T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > Program Studi Teknik Elektro (S1)
Depositing User: Irga -
Date Deposited: 21 Jul 2023 04:31
Last Modified: 21 Jul 2023 04:31
URI: http://repository.upnvj.ac.id/id/eprint/24195

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