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All Journal Journal of Applied Science, Technology & Humanities
Khairunnissa Zahran Ansyafa
Sekolah Vokasi IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Intelligent Hydroponic Control System with IoT and Fuzzy Logic on Kale Plants Khairunnissa Zahran Ansyafa; Yana Nurrohman; Muhamad Al Habsy; Muhammad Fakhri Alauddin; Mahatmadi Ariq Mayangkara; Hafiz Agi Alfasih; Daryn Ramadhani Az Zahra; Aqim Try Kurnia; Arda Dwiyana; Inna Novianty
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/5w3gk317

Abstract

The research in our project illustrates the application of hydroponic technology in Indonesia with a focus on nutrient control systems using the Internet of Things (IoT) and fuzzy logic for kale plants. Hydroponic methods such as Deep Flow Technic (DFT) are used to optimize plant growth in confined spaces, utilizing nutrient solutions that are controlled by pH and PPM. The system supports the efficiency and effectiveness of modern agriculture by monitoring environmental conditions such as temperature, humidity, and TDS values. This study shows that the system developed has an average error of 11.755% with an accuracy level of 88.65%. In addition, the system also managed to control the output of the nutrient pump with an error of 1.12% and an accuracy of 98.89%, as well as a water faucet with an average error of 0.47% and an accuracy of 99.75%. These results show the potential of IoT technology applications in increasing the productivity and sustainability of hydroponic agriculture in the future
Implementation of Fuzzy Logic on the Feasibility of Duck Egg Quality Dhiya Rizqi Bagus Wibowo; Edmund Banyu Kauripan; Khairunnissa Zahran Ansyafa; Nabil Arif A'isy; Muhamad Fadhil; Inna Novianty; Nanda Octavia; Ivan De NeroI
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/epg4wm67

Abstract

Eggs are a staple food, with chicken eggs being the most common choice. However, duck eggs are gaining popularity due to their nutritional value. Ducks, a local poultry breed, are seeing increased interest, leading to a growth in the national duck population. Duck eggs themselves are one source of animal protein that is rich in nutrients and easily digested. Duck eggs have a very high protein content, which is 13.1 grams per 100 grams. The purpose of building a decision support system for duck egg selection is to help people choose quality duck eggs for consumption. Data collection techniques in this study use literature studies and include direct calculations and using MATLAB software to develop a Fuzzy logic system in determining the feasibility of duck egg quality. The results showed that in the example case for a duck egg that weighs 5.5 grams and then the thickness of the shell is 7.5 mm and the viscosity of the egg contents is given a number of 7, then the egg is still said to be suitable for consumption. This contributes to improving food quality in Indonesia by classifying the feasibility of eggs for public consumption.
Co-Authors Aqim Try Kurnia Arda Dwiyana Daryn Ramadhani Az Zahra Dhiya Rizqi Bagus Wibowo Edmund Banyu Kauripan Hafiz Agi Alfasih Inna Novianty Ivan De NeroI Mahatmadi Ariq Mayangkara Muhamad Al Habsy Muhamad Fadhil Muhammad Fakhri Alauddin Nabil Arif A'isy Nanda Octavia Yana Nurrohman