Ishbachi, Farach (2026) Perbandingan Metode Fuzzy Mamdani dan Sugeno untuk Monitoring Nutrisi pada Tanaman Hidroponik Selada Berbasis IoT. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
The increasing demand for food due to population growth has encouraged the development of hydroponic cultivation as an alternative agricultural method for limited land areas. However, hydroponic nutrient management is often performed manually, leading to potential decision-making errors. This study aims to develop an Internet of Things (IoT)-based nutrient monitoring system for hydroponic lettuce and compare the performance of the Fuzzy Mamdani and Fuzzy Sugeno methods in determining nutrient conditions based on Total Dissolved Solids (TDS) and water temperature. The system was developed using an ESP32 microcontroller, TDS sensor, DS18B20 temperature sensor, Firebase, and a Laravel-based monitoring website. Sensor data were displayed in real time through a web application providing monitoring and analysis features. Both fuzzy methods used TDS and water temperature as input variables and nutrient condition as the output variable. Performance evaluation was conducted using Mean Absolute Percentage Error (MAPE) and Confusion Matrix analysis on 45 sample data selected through stratified sampling from 3,262 sensor records.The results showed that, after calibration, the TDS sensor achieved an error of 1.8 ppm and the DS18B20 sensor achieved an error of 0.16℃. Black-box testing indicated that all system features functioned properly, while User Acceptance Testing (UAT) obtained a score of 82.4%, categorized as very good. The comparison results showed that the Fuzzy Sugeno method produced a MAPE value of 17.32%, lower than the Fuzzy Mamdani method at 23.95%. Both methods achieved the same classification accuracy of 84.44%. Therefore, the Fuzzy Sugeno method is considered more suitable for IoT- based hydroponic nutrient monitoring systems because it produces lower error values and results closer to actual conditions
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | Internet of things, hidroponik, fuzzy mamdani, fuzzy sugeno, stratified sampling, mape | ||||||
| Subjects: | 140 - Rumpun Ilmu Tanaman > 160 - Teknologi dalam Ilmu Tanaman > 163 - Teknologi Pertanian 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 454 - Teknik Elektronika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 455 - Teknik Kendali (atau Instrumentasi dan Kontrol) 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
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| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Farach Ishbachi | ||||||
| Date Deposited: | 21 Jul 2026 06:35 | ||||||
| Last Modified: | 21 Jul 2026 06:37 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/58383 |
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