Maghfiroh, Syiamatul Elif (2024) Sistem Lemari Portable Pengering Pakaian Otomatis dengan Metode Fuzzy Logic Controller Berbasis Particle Swarm Optimization (PSO). Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Cuaca yang tidak menentu terutama selama musim penghujan, dapat mempersulit masyarakat dalam melakukan aktivitas sehari-hari seperti dalam menjemur pakaian. Perumahan di kota-kota padat penduduk juga sering kali tidak menyediakan lahan yang cukup untuk menjemur pakaian secara alami, sehingga dapat menggangu estetika perumahan. Pengeringan pakaian dapat memanfaatkan teknologi yang canggih dengan lemari portable otomatis. Teknologi lemari pengering otomatis yang sudah ada dengan kontrol fuzzy logic dapat dilakukan optimalisasi untuk melakukan proses pemanasan yang lebih efisien dan cepat. Oleh karena itu, pada proyek akhir ini dibuat pengembangan sistem lemari portable pengering pakaian otomatis yang dapat di-monitoring dengan menggunakan metode fuzzy logic berbasis particle swarm optimization (PSO). Serta dilakukan analisis perpindahan panas menggunakan ANSYS agar dapat memaksimalkan sistem lemari portable dalam melakukan pengeringan pakaian. Lemari portable pengering pakaian otomatis dilengkapi dengan heating lamp dan exhaust fan untuk mengeringkan pakaian. Sensor yang digunakan untuk mengukur kelembaban dan temperatur yaitu sensor DHT22. Pengendalian kelembaban dan temperatur dilakukan oleh ESP32 dengan menggunakan kontrol fuzzy logic yang berbasis Algoritma PSO dengan metode fuzzy Sugeno, serta dilengkapi sistem monitoring berbasis internet yang menggunakan web atau aplikasi ThingSpeak agar dapat di-monitoring pada smartphone pengguna. Adapun hasil penelitian yang diperoleh pasa sistem lemari portable pengering pakaian otomatis dengan metode fuzzy logic berbasis PSO menunjukkan bahwa dengan setpoint 33 oC dan kelembaban 56% memerlukan waktu rise time untuk mencapai setpoint sebesar 600 sekon atau 10 menit. Sedangkan laju pengeringan menunjukkan nilai terendah 0,08 gram/menit ketika menggunakan 3 pakaian yang berarti memerlukan waktu pengeringan yang lebih lama.
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Unpredictable weather, especially during the rainy season, can make it difficult for people to carry out daily activities such as drying clothes. Housing in densely populated cities also often does not provide sufficient land for drying clothes naturally, which can disrupt the aesthetics of housing. Drying clothes can utilize sophisticated technology with automatic portable cupboards. Existing automatic drying cabinet technology with fuzzy logic control can be optimized to carry out a more efficient and faster heating process. Therefore, in this final project, a portable automatic clothes drying cupboard system was developed that can be monitored using a fuzzy logic method based on particle swarm optimization (PSO). A heat transfer analysis was also carried out using ANSYS in order to maximize the portable wardrobe system for drying clothes. Portable automatic clothes drying cupboard is equipped with a heating lamp and exhaust fan to dry clothes. The sensor used to measure humidity and temperature is the DHT22 sensor. Humidity and temperature control is carried out by the ESP32 using fuzzy logic control based on the PSO algorithm with the Sugeno fuzzy method, and is equipped with an Internet-based monitoring system that uses the web or the Thingspeak application so that it can be monitored on the user's smartphone. The research results obtained on the portable automatic clothes drying cupboard system using the PSO-based fuzzy logic method show that with a setpoint of 33 oC and humidity of 56% it requires a rise time to reach the setpoint of 600 seconds or 10 minutes. Meanwhile, the drying rate shows the lowest value of 0.08 grams/minute when using 3 clothes, which means it requires a longer drying time.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | ESP32, DHT22 Sensor, Fuzzy control, PSO (particle swarm optimization), Thingspeak, ANSYS |
| Subjects: | T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.62 Simulation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TX Home economics |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Syiamatul Elif Maghfiroh |
| Date Deposited: | 14 Aug 2024 02:10 |
| Last Modified: | 14 Aug 2024 02:10 |
| URI: | http://repository.its.ac.id/id/eprint/110958 |
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