Moisture Monitoring of Rice Fields in Jogotirto Sleman using Internet of Thing

Yudhana, Anton; Dewi, Havida; Fairus, Dhoiffudaffa; Salsabila, Zahra; Yuliansyah, Herman

doi:10.4108/eai.20-9-2019.2292093

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The three values from soil pH, moisture, and temperature were used as crisp input. These values were collected from censors that build into device called AGRIMON [15]. Data was collected from rice field situated in Jogotirtio village, on Berbah District, Sleman-Yogyakarta [16].…”

Section: Methodsmentioning

confidence: 99%

Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status

Syafiqoh¹,

Yudhana

Sunardi

2022

Ilk. J. Ilm.

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The representation of the fuzzy set membership curve consisting of trapezoidal, triangular, and linear shapes, has an important role in the fuzzy logic system. The selection of the curve's shapes determines the useable membership function and affects the fuzzy output value. Previous studies generally used curves that had been employed in predecessors or other studies that did not explain the reason for choosing a fuzzy member curve. This condition became problem because there was not a guide in selecting the appropriate membership function model for the parameters used in the fuzzy process so that most researchers only use membership functions that are commonly used in previous studies or in the same case as their research. The purpose of this study was to determine the effect of selecting trapezoidal and triangular curves on the performance of Tsukamoto's fuzzy logic for determining the rice-fields suitability status. The research methodology comprised 3 main stages. The first stage was data collecting, to collect soil pH values, soil moisture, and air temperature in rice fields. The second stage was the implementation of the Tsukamoto fuzzy. At this stage, two membership function curves were used. The third stage was a comparative analysis of Tsukamoto's fuzzy's output of trapezoidal and triangular curves. The results obtained indicate that there is no significant performance difference between the two different membership functions. The results of the research with the trapezoidal membership function have a better accuracy rate of 93% while the triangular membership function has an accuracy rate of 90%.

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Section: Methodsmentioning

confidence: 99%

Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status

Syafiqoh¹,

Yudhana

Sunardi

2022

Ilk. J. Ilm.

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“…With precision agriculture technology, the farmers must switch to using agricultural technology to grow oyster mushrooms. One of them is by utilizing the internet of things (IoT) technology in the form of a mobile application to conduct online monitoring [11,[35][36][37][38]. Several ways can apply appropriate technology for remote monitoring, such as SMS gate way and server computer.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Automation of Temperature Control Based on Mobile Application Technology (MAT) for Precision Oyster Mushroom Cultivation

Yudhana¹,

Akbar²,

Mufandi³

et al. 2022

I2M

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Oyster mushrooms can usually be found in the forest and grow on rotten logs with temperatures ranging from 21-28℃. The farmers are used the feeling method to measure the range of air temperature in the oyster mushroom cultivation area so that faced the difficulty for controlling the temperature conventionally. This research describes an intelligent device to regulate the air temperature automatically using Peltier TEC-1 12706, which was assisted with ice cubes and aluminum water blocks as cool temperatures automatically online and in real-time. The online system uses the Wi-Fi module type ESP8266-01, and the reading result converts to the digital number as the mobile application shown on the LCD display. Data storage on things speak as a cloud. This research indicates that the level of accuracy of this system compared with similar measuring devices on the market has a standard deviation of error of 0.21 from the total of 30 data in a 1-hour trial. This research was compared with the conventional product (HTC-2) for knowing the sensor accuracy. The experiment result indicated that the sensor accuracy was 93.7%. SHT31 sensor as temperature sensor proved capable to monitor and automatic oyster mushrooms temperature.

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“…Gambar 1. Prinsip kerja sensor flex[9].Seringkali para pengembang memiliki keterbatasan ketika mengembangkan aplikasi yang didukung di beberapa platform. Dikarenakan, Android native dan iOS native memiliki bahasa pemrograman yang berbeda[10].…”

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Rancang Bangun Sistem Pemantau Perkembangan Gerak Otot pada Penderita Stroke Berbasis IoT

Muchtar,

Bahri,

Isyanto

et al. 2023

RESISTOR

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Stroke adalah gangguan yang menyebabkan gangguan pada sistem saraf motorik. Ini adalah hasil dari distribusi darah ke otak. lebih dari 14 juta orang di dunia terkena penyakit stroke setiap tahunnya, Tujuan pembuatan alat ini adalah untuk memonitoring lebih lanjut terhadap pasien yang telah melakukan terapi pasca stroke untuk dilihat seberapa jauh perkembangan dari pasien tersebut yang nantinya akan ditampilkan dan dimonitoring menggunakan web, desain dari alat ini dengan memanfaatkan pembacaan dari sensor flex dan juga memanfaatkan koneksi dari IoT dengan menggunakan ESP32 yang dihubungkan dengan menggunakan Thingspeak dan juga monitoring langsung dengan menggunakan MIT App Inventor yang bisa dibaca langsung secara realtime, dengan objek penelitian menggunakan 4 jari dan juga dimonitoring secara berkala dalam jangka waktu kurang lebih 5 hari, dalam jangka waktu yang ditentukan dapat diketahui bahwa pergerakan dari otot jari pasien pasca stroke mengalami kenaikan dan penurunan karena belum stabilnya kekuatan otot dari pasien pasca stroke,untuk memenuhi hasil monitoring yang maksimal diharapkan bagi pasien memonitoring lebih lanjut dengan skala berkala untuk mengetahui hasil monitoring yang menyeluruh dalam jangka waktu yang cukup, hingga si-pasien dinyatakan cukup pulih.Kata kunci: Stroke, ESP32, Sensor FlexStroke is a disorder that causes disturbances in the motor nervous system. It is a result of the distribution of blood to the brain. more than 14 million people in the world suffer from strokes each year. The purpose of making this tool is to further monitor patients who have undergone post-stroke therapy to see how far the progress of these patients will be displayed and monitored using the web, the design of the tool this by utilizing readings from flex sensors and also utilizing connections from IoT using ESP32 which is connected using Thingspeak and also direct monitoring using the MIT App Inventor which can be read directly in realtime, with research objects using 4 fingers and also monitored periodically over a long period of time. approximately 5 days, within the specified timeframe it can be seen that the movement of the finger muscles of post-stroke patients has increased and decreased due to the unstable muscle strength of post-stroke patients, to fulfill the maximum monitoring results expected for patients with further monitoring on a regular scale to find out the results of comprehensive monitoring in a sufficient period of time, until the patient is declared sufficiently recovered.Keywords: Stroke, ESP32, Sensor Flex

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Moisture Monitoring of Rice Fields in Jogotirto Sleman using Internet of Thing

Cited by 3 publications

References 5 publications

Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status

Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status

Monitoring and Automation of Temperature Control Based on Mobile Application Technology (MAT) for Precision Oyster Mushroom Cultivation

Rancang Bangun Sistem Pemantau Perkembangan Gerak Otot pada Penderita Stroke Berbasis IoT

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