SARALINA, MAYA (2025) IMPLEMENTASI ALGORITMA FUZZY MAMDANI PADA PERANCANGAN SISTEM MONITORING INKUBATOR TELUR PUYUH BERBASIS IOT DAN TENAGA HYBRID. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.
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Abstract
Quail is a type of poultry that is in great demand among people from all walks of life, both consuming its meat and eggs which are rich in nutrients. Currently, many people cultivate quail eggs as a livelihood. However, until now there are still many quail breeders who use conventional methods in the process of hatching quail eggs. Moreover, quail cannot incubate their own eggs, which means the eggs will not hatch without the help of an inkubator. The majority of quail egg farmers only use one electricity source which can cause failure in the quail egg hatching process if the PLN electricity source goes out. The process of controlling and monitoring temperature, humidity and light intensity is still done manually so farmers are required to remain at the farm location. The purpose of this study is to design a modern quail egg inkubator that is more efficient and effective in the process of hatching quail eggs. Where temperature, humidity, and light intensity can be controlled using the help of ESP32, DHT11, and AC Light Dimmer so that they can be monitored virtually with Internet of Things (IoT) technology. In addition, the implementation of this quail egg inkubator uses two electricity sources, namely PLN and PLTS as a backup energy source if the PLN source experiences a blackout. Then this study applies the fuzzy mamdani algorithm with three variables divided into two inputs in the form of temperature and humidity and one output in the form of light intensity which acts as a controller for the three variables so that the decision results are more precise. The method in this research applies the waterfall method. This research resulted in (1) A monitoring system for temperature, humidity, and light intensity was successfully implemented using the blynk application on a smartphone. Hybrid power was successfully used as a substitute energy source with the addition of an automatic switch system in the form of an Automatic Transfer Switch (ATS). (2) The fuzzy mamdani algorithm was successfully implemented with 9 rules so that data from temperature and humidity could be processed with accurate results for the development of quail eggs. (3) The overall implementation was successfully carried out with a system effectiveness of 90%, 18 out of a total of 20 quail eggs hatched properly.
| Item Type: | Thesis (S1) | |||||||||
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| Additional Information: | Burung puyuh merupakan jenis unggas yang banyak diminati masyarakat dari semua kalangan baik mengkonsumsi daging maupun telurnya yang kaya akan nutrisi. Saat ini telah banyak yang membudidayakan telur puyuh sebagai mata pencaharian. Namun sampai saat ini masih banyak peternak burung puyuh yang menggunakan cara konvensional dalam proses penetasan telur puyuh tersebut. Terlebih burung puyuh tidak dapat mengerami telurnya sendiri yang menyebabkan telur tidak akan menetas tanpa bantuan dari mesin tetas. Mayoritas peternak telur puyuh hanya menggunakan satu sumber listrik yang dapat menyebabkan kegagalan dalam proses penetasan telur puyuh apabila sumber listrik PLN padam. Proses pengontrolan dan pemantauan suhu, kelembaban, serta intensitas cahaya masih dilakukan secara manual sehingga peternak diharuskan tetap berada di lokasi peternakan. Tujuan adanya penelitian ini untuk merancang inkubator telur puyuh secara modern yang lebih efisien dan efektif dalam proses penetasan telur puyuh. Dimana suhu, kelembaban, serta intensitas cahaya dapat dikontrol menggunakan bantuan ESP32, DHT11, dan AC Light Dimmer sehingga dapat dipantau secara virtual dengan teknologi Internet of Things (IoT). Selain itu pengimplementasian inkubator telur puyuh ini menggunakan dua sumber listrik yaitu PLN dan PLTS sebagai sumber energi cadangan apabila sumber PLN mengalami pemadaman. Kemudian penelitian ini menerapkan algoritma fuzzy mamdani dengan tiga variabel terbagi dua input berupa suhu dan kelembaban dan satu output berupa intensitas cahaya yang berperan sebagai pengendali ketiga variabel supaya hasil keputusan lebih tepat. Metode pada penelitian ini menerapkan metode waterfall. Penelitian ini menghasilkan (1) Sistem monitoring suhu, kelembaban, serta intensitas cahaya berhasil dilakukan menggunakan aplikasi blynk pada smartphone. Tenaga hybrid berhasil digunakan sebagai sumber energi pengganti dengan tambahan sistem saklar otomatis berupa Automatic Transfer Switch (ATS). (2) Algoritma fuzzy mamdani berhasil diterapkan dengan 9 rules sehingga data dari suhu serta kelembaban dapat diolah dengan hasil yang akurat untuk perkembangan telur puyuh. (3) Pengimpelementasian secara keseluruhan berhasil dilakukan dengan ekeftivitas sistem sebesar 90%, telur menetas secara baik sebanyak 18 butir dari total 20 butir telur puyuh. | |||||||||
| Uncontrolled Keywords: | Fuzzy Mamdani Algorithm, Quail Egg Inkubator, Internet of Things (IoT), PLTS Algoritma Fuzzy Mamdani, Inkubator Telur Puyuh, Internet of Things (IoT), PLTS | |||||||||
| Subjects: | L Education > L Education (General) L Education > LB Theory and practice of education |
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| Divisions: | 02-Fakultas Keguruan dan Ilmu Pendidikan 02-Fakultas Keguruan dan Ilmu Pendidikan > 83201-Jurusan Pendidikan Vokasional Teknik Elektro |
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| Depositing User: | Unnamed user with email [email protected] | |||||||||
| Date Deposited: | 10 Mar 2025 04:31 | |||||||||
| Last Modified: | 10 Mar 2025 04:31 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/46076 |
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