Design of control and monitoring tools for electricity use loads, and home security systems with internet of things system based on Arduino Mega 2560

Budiyanto, Setiyo; Silalahi, Lukman Medriavin; Silaban, Freddy Artadima; Salamah, Ketty Siti; Rahayu, Fajar; Wahyuddin, Mohammad Iwan; Andryana, Septi

doi:10.1088/1757-899x/909/1/012020

Cited by 15 publications

(6 citation statements)

References 6 publications

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“…Shabeeb et al [7] states that a system that goes through Wi-Fi connection is connected to a smartphone or computer application. Furthermore, it is processed by an Arduino microcontroller [44], [45], and the DHT11 sensor and its supporters are displayed on the liquid crystal display (LCD) screen as shown in Fig. 1.…”

Section: A Internet Of Thingsmentioning

confidence: 99%

An enhancement to the FLC-based baby incubator system using genetic algorithm

Budiyanto,

Silalahi,

Gunawan

et al. 2023

J.INFOTEL

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This research problem focuses on treating premature babies due to hypothermia so that the baby must be put in an incubator for several days. Conventional intensive care method in premature babies, namely skin-to-skin care method between mother and child. Meanwhile, the latest technological developments, the method is already based on electrical-Internet of Things (IoT) engineering. This research proposes the design of an IoT-based prototype known as a smart incubator. This prototype has been equipped with a real-time monitoring system and system settings using the mamdani fuzzy inference system control method and combined using the Genetic Algorithm (GA) method. The results showed that the ideal temperature range in the smart incubator was 33° C with an accuracy of 99.97% and was in accordance with the fuzzy membership degree in the range of 29° C ≤x≤ 37° C. Furthermore, the ideal relative humidity range in the smart incubator was 60% with an accuracy of 98.60% and was in accordance with the fuzzy membership degree in the range of 59 ≤x≤ 65. Then, the noise range in the smart incubator is 37.9dB to 56.8dB with an accuracy of 96.44% and has been appropriate at the fuzzy membership degree. At a maximum distance of 50cm, it takes 8 seconds for the prototype to detect movement as a safety measure.

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Section: A Internet Of Thingsmentioning

confidence: 99%

An enhancement to the FLC-based baby incubator system using genetic algorithm

Budiyanto,

Silalahi,

Gunawan

et al. 2023

J.INFOTEL

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“…Internet of things is a concept in which certain objects have the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction [8], [28], [29]. So, from this concept, we get a test of sending data from devices that can be displayed on a website that can be accessed anywhere.…”

Section: Testing Data Viewers Based On the Internet Of Thingsmentioning

confidence: 99%

Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice

Silalahi

Jatikusumo

Budiyanto

et al. 2022

IJECE

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<span lang="EN-US">This research raises the topic of modern technology in the field of rice fields. The problem in this research is determining the fuzzy inference system algorithm for electronic engineering. The prototype was built by Raspberry Pi and python-based to the internet of things. The objective of this research is to design a new model for the rice field monitoring/control system and display every condition based on the internet of things. So that the hypothesis of this research can answer the phenomena that occur in rice fields, including drought problems, maintained plant conditions. The test results showed that irrigation control automatically runs optimally by scheduling, automatic irrigation control of water pH degree value detection analyzed by fuzzy Tsukamoto method at Z=3.5 defuzzification value for low and high irrigation control, and Z value=1.83 for normal irrigation control. Furthermore, the scheduling of spraying liquid fertilizer obtained the results of duration for 60 min in accordance with the needs of fertilizer dose. Lastly, for monitoring data on the website successfully accessed anywhere from the use of hosting servers and domains. Finally, it can be concluded that fuzzy Tsukamoto's algorithm is appropriate to be applied to the modern rice field system.</span>

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“…Gambar 2: menunjukkan contoh sebuah gambar Arduino Atmega 2560 merupakan board Arduino yang dimodifikasi dari board Arduino Mega sebelumnya [12]. Arduino Mega yang asli menggunakan chip ATmega1280 dan kemudian digantikan oleh chip ATmega2560, sehingga judulnya diubah Arduino Atmega 2560 [13]. ketika penulisan dibuat , Arduino Atmega 2560 telah memasuki perubahan ke-3 (R3).…”

Section: B Arduino Atmega 2560unclassified

Rancang Bangun Sistem Irigasi pada Perkebunan Cabai Berbasis Arduino Uno dan Sprinkler

Rahman¹,

Simanjuntak²

2022

JTE

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Cabai merah adalah salah satu jenis sayuran yang banyak dimanfaatkan oleh masyarakat Indonesia, karena memiliki nilai jual yang tinggi. Salah satu penyebab terjadinya harga cabai menjulang tinggi adalah saat permintaan banyak akan tetapi panen para petani tidak mencukupi. Kejadian ini sering terjadi karena panen sering gagal dikarenakan sistem pengairan yang masih manual dan tidak merata, sehingga untuk petani cabai di daerah tanah tinggi, perlu di bantu dengan sistem pengairan yang teratur dan otomatis. Oleh karena itu, penelitian ini bertujuan membantu para petani cabai untuk menyirami tanaman cabai merah sesuai kebutuhan dengan bantuan pompa air. Sistem pompa air yang dirancang didukung arus dc sebesar 12 volt dan daya 18 watt. Strategi yang digunakan untuk menyiram cabai adalah sistem air curah , yang bekerja dengan cara memancarkan air ke tanaman sehingga penyiraman rata di semua titik cabai merah. Transmisi, kecepatan air diukur menggunakan sensor aliran air . Begitu juga dengan parameter kelembaban tanah menggunakan sensor yang menyatakan bahwa kondisi tanah berada dalam PH >2,0 (basah) dan PH > 5,51-7,00 (sangat lembab). Setelah nilai kelembaban tanah tersebut akan dibaca menggunakan arduino uno atmega 2560 dan hasilnya kan dimunculkan di lcd, kemudian penyiraman air akan menyesuaikan dengan kebutuhan air berdasarkan nilai PH yang didapatkan.

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Design of control and monitoring tools for electricity use loads, and home security systems with internet of things system based on Arduino Mega 2560

Cited by 15 publications

References 6 publications

An enhancement to the FLC-based baby incubator system using genetic algorithm

An enhancement to the FLC-based baby incubator system using genetic algorithm

Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice

Rancang Bangun Sistem Irigasi pada Perkebunan Cabai Berbasis Arduino Uno dan Sprinkler

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