Mohammad, Yusuf (2024) Rancang Bangun Sistem Kontrol Temperatur, Kelembapan, dan CO2 Secara Real Time Menggunakan Metode Fuzzy Logic Control Terintegrasi Internet of Things pada Budidaya Jamur Tiram. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia, sebagai negara agraris, memiliki berbagai komoditas pertanian hortikultura yang produksinya mencapai ratusan ribu ton. Konsumsi jamur per kapita meningkat 18% setiap tahun, namun produksi jamur menurun drastis dari 3.316 ton pada tahun 2020 menjadi 63,15 ton pada tahun 2022. Akibatnya, pemerintah harus mengimpor jamur tiram. Penurunan produksi disebabkan oleh kualitas bibit yang kurang baik, media tanam yang tidak optimal, dan perubahan iklim sehingga perlunya pengembangan teknologi dalam negeri. Penelitian ini bertujuan mengembangkan sistem monitoring dan kontrol kualitas udara untuk pertanian jamur tiram menggunakan kontrol logika fuzzy dan IoT. Metode penelitian meliputi kalibrasi sensor, karakterisasi aktuator dan plant, serta pengujian open loop dan closed loop. Hasil penelitian menunjukkan bahwa sistem kontrol logika fuzzy efektif dalam menjaga parameter lingkungan. Pada pengujian sensor temperatur didapatkan ketidakpastian 1°C, kelembapan 2,87%RH, dan CO2 14,97 ppm. Waktu yang diperlukan untuk mencapai setpoint temperatur adalah 236 detik dengan nilai max overshoot 3,64%, error steady state 1,57%, settling time 1100 detik. Untuk kelembapan, waktu yang diperlukan adalah 257 detik dengan nilai undershoot 10,12%, error steady state 0,61%, settling time 1120 detik. Untuk CO2, waktu yang diperlukan adalah 27 detik dengan nilai max overshoot 58,80%, peak time dengan nilai 1487 detik. Pada penggunaan kontrol logika fuzzy, on/off, dan tanpa kontrol didapatkan daya 28,98 kW, 111,68kW, dan 172 kW. Dari hal tersebut dapat dilihat bahwa kontrol logika fuzzy lebih baik dalam penghematan daya. Sistem ini memiliki throughput 16,57 bps, packet loss 1,84%, delay 125,49 ms, dan jitter 118,32 ms.
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Indonesia, as an agrarian country, has various horticultural agricultural commodities with production reaching hundreds of thousands of tons. Mushroom consumption per capita increases by 18% each year, but mushroom production has drastically decreased from 3,316 tons in 2020 to 63.15 tons in 2022. As a result, the government has had to import oyster mushrooms. The decline in production is due to poor seed quality, suboptimal growing media, and climate change, highlighting the need for the development of domestic technology. This study aims to develop an air quality monitoring and control system for oyster mushroom farming using fuzzy logic and IoT. The research methods include sensor calibration, actuator and plant characterization, and open-loop and closed-loop testing. The results show that the fuzzy logic control system is effective in maintaining environmental parameters. For temperature sensor testing, an uncertainty of 1°C, humidity 2.87% RH, and CO2 14.97 ppm were obtained. The time required to reach the temperature setpoint is 236 seconds with a maximum overshoot value of 3.64%, steady-state error 1.57%, and settling time of 1100 seconds. For humidity, the time required is 257 seconds with an undershoot value of 10.12%, steady-state error 0.61%, and settling time of 1120 seconds. For CO2, the time required is 27 seconds with a maximum overshoot value of 58.80% and a peak time of 1487 seconds. In the use of fuzzy, on/off, and without control, power consumption was 28.98 kW, 111.68 kW, and 172 kW respectively. From this, it can be seen that fuzzy control is better in terms of power saving. This system has a throughput of 16.57 bps, packet loss of 1.84%, delay of 125.49 ms, and jitter of 118.32 ms.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | control, fuzzy logic control, monitoring, kontrol logika fuzzy, kontrol, monitoring |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic Q Science > QA Mathematics > QA248_Fuzzy Sets Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC271.8.C3 Calibration Q Science > QC Physics > QC271 Temperature measurements Q Science > QK Botany > QK751 Plants--Effect of air pollution on Q Science > QP Physiology > QP82.2.H8 humidity |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Yusuf Mohammad |
| Date Deposited: | 30 Jul 2024 14:16 |
| Last Modified: | 30 Jul 2024 14:16 |
| URI: | http://repository.its.ac.id/id/eprint/109891 |
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