Perancangan Logika Fuzzy Untuk Sistem Pengendali Kelembaban Tanah dan Suhu Tanaman

Nasron, Nasron; Suroso, Suroso; Putri, Astriana Rahma

doi:10.30865/mib.v3i4.1245

Cited by 6 publications

(7 citation statements)

References 1 publication

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“…a. Fuzzification This process is a conversion process from crisp numerical or definite truth values into fuzzy sets by using the membership function [10].…”

Section: Esp8266mentioning

confidence: 99%

“…Defuzzyfication The defuzzification stage is the last step in designing fuzzy logic. At this stage, the input obtained is confirmed in the previously determined fuzzy rules [10]. The method that will be used in defuzzification is the centroid method, which is a method with a crisp solution obtained by taking the center point (z*) Fuzzy area [21].…”

Section: Esp8266mentioning

confidence: 99%

“…In research related to fuzzy logic, there is research on the determinants of controlling soil temperature and humidity for plants by utilizing two sensors to produce plant status decisions [10]. Another related research is the fuzzy logic decision making system, which is the scheduling of motorcycle service with the parameters of the condition of the motorcycle and the last date of service in the vehicle [8].…”

Section: Introductionmentioning

confidence: 99%

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Package Receiver Box Based on Iot Using Fuzzy Mamdani and Mobile Application

Ashari

Ayuningtyas²

2023

jitk

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The development of information technology is currently growing, where now everything has been transformed digitally. Consumers today to shop no longer need to come to the market. Consumers shop through e-commerce applications and just wait for the goods between the couriers from the expedition to arrive at their doorstep. Based on a survey conducted on March 10, 2021, with 100 respondents, it was concluded that 62% of the problems experienced were the process of receiving packages and security risks during package delivery, where the courier did not find the owner of the package at home. Answering the IUI problem requires an IoT-based package receiving box that helps make it easier for couriers to send goods and helps package owners to monitor packages that have been delivered by couriers. This package recipient box is accompanied by an ESP32 Cam camera module to scan the QR code receipt number, ESP8266 helps connectivity and android-based mobile applications with a firebase real-time database to make it easier for package recipients to monitor packages. In helping to facilitate decision making, Mamdani fuzzy logic is used. From the research experiment, it was found that the system can carry out the package storage process with an average time of 11 seconds and the time required to update to firebase is around an average of ±3 seconds.

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“…a. Fuzzification This process is a conversion process from crisp numerical or definite truth values into fuzzy sets by using the membership function [10].…”

Section: Esp8266mentioning

confidence: 99%

Section: Esp8266mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Package Receiver Box Based on Iot Using Fuzzy Mamdani and Mobile Application

Ashari

Ayuningtyas²

2023

jitk

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“…Perkembangan dalam dunia teknologi sangatlah pesat. Adanya bantuan dengan teknologi, dapat membantu manusia memecahkan suatu permasalahan sekaligus permasalahan yang cukup rumit [5]. Semakin tinggi level teknologi tersebut, maka peranan teknologi akan semakin aktif [5].…”

Section: Pendahuluanunclassified

“…Adanya bantuan dengan teknologi, dapat membantu manusia memecahkan suatu permasalahan sekaligus permasalahan yang cukup rumit [5]. Semakin tinggi level teknologi tersebut, maka peranan teknologi akan semakin aktif [5]. Teknik kecerdasan terapat pada perangkat lunak atau software dengan basis pengetahuan domain tertentu dan menggunakan penalaran inferensi seperti seorang pakar dalam memecahkan sebuah masalah.…”

Section: Pendahuluanunclassified

S Simulasi Rancang Sistem Penyiraman Tanaman Berbasis Fuzzy Logic Control Pada Proteus Dan Matlab

Rahmawati

Febriana²,

Wibisono³

2022

alinier

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Kelembaban pada suhu dan tanah merupakan sebuah tolak ukur bagi pertumbuhan tanaman. Tanaman dapat tumbuh dengan subur apabila tanah dan suhu berada ditingkat kelembaban yang sesuai. Pola iklim dan cuaca sering kali berubah-ubah. Apabila cuaca sering kali berubah, maka kelembaban suhu dan tanah juga akan berubah. Pada permasalahan ini diperlukannya suatu sistem metode yang digunakan adalah metode Fuzzy Logic Control. Metode yang digunakan untuk melakukan rancang sistem penyiraman tanaman ini adalah menggunakan metode Fuzzy Logic Control, dengan metode Fuzzy ketika ingin menyiram tanaman pada suhu dan kelembaban tertentu akan mengetahui durasi dari penyiraman tanaman yang seharusnya. Metode Fuzzy yang digunakan adalah metode Sugeno. Hasil percobaan yang dilakukan pada Proteus dan Matlab untuk simulasi rancang penyiraman tanaman berbasis Fuzzy Logic Control menghasilkan hasil yang sama. Walaupun percobaan yang dilakukan dengan memasukkan beberapa suhu dan kelembaban dan hasil durasi penyiraman tanaman tetap tidak ada perbedaannya. Maka tanaman akan mendapatkan air dengan sesuai yang dibutuhkan.

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