Saputra, Didik Wahyu (2018) Sistem Klasifikasi Kualitas Kondisi Toilet Berdasarkan Gas Serta Suhu Berbasis Sensor MQ135 Dan DHT11 Menggunakan Metode Naive Bayes. Sarjana thesis, Universitas Brawijaya.
Abstract
Kesehatan lingkungan adalah salah satu komponen penting yang sangat berpengaruh bagi kehidupan dan kesehatan manusia. Lingkungan yang bersih serta sehat akan membuat setiap individu disekitarnya nyaman dan meningkatkan kualitas kehidupannya. Toilet merupakan bagian dari lingkungan yang keberadaanya menjadi hal yang sangat penting. Buruknya kualitas kualitas toilet memudahkan penularan bakteri serta perkembangan bibit penyakit. Berdasarkan permasalahan tersebut dibuatlah sistem yang dapat digunakan untuk mengklasifikasikan kualitas toilet berdasarkan beberapa parameter. Pada penelitian ini parameter-parameter yang digunakan dalam melakukan perbandingan kualitas toilet adalah bau serta suhu pada toilet. Dimana untuk parameter bau terdiri dari gas amonia, karbondioksida, serta karbonmonoksida. Gas-gas tersebut merupakan gas yang sering dihasilkan pada aktivitas manusia saat berada pada toilet. Proses penentuan kualitas toilet melalui gas amonia, karbonmonoksida, karbondioksida, serta suhu diperoleh dari pembacaan dua sensor MQ135 dan sensor DHT11 oleh mikrokontroler Arduino Uno dengan menggunakan metode Naive Bayes. Penggunaan metode Naive Bayes dipilih sebagai teknik pengambilan keputusan kondisi toilet karena memilik akurasi yang sangat baik dimana kelas penggolongan jenis kondisi toilet sudah diketahui sejak awal. Dari hasil beberapa kalai pengujian pembacaan dua buah sensor MQ135 memiliki korelasi yang sangat tinggi dengan tegangan keluarannya. Dimana untuk pembacaan amonia memiliki korelasi sebesar 99.13%, karbonmonoksida memiliki korelasi 99.66%, dan karbondioksida 99.22%. Sedangkan untuk pembacaan suhu sensor DHT11 memiliki presentasi error sebesar 0.502%. Selanjutnya pada pengujian sistem metode Naive Bayes dengan jumlah data latih sebanyak 55 data dan data uji sebanyak 25 data, diperoleh akurasi sebesar 96% dengan waktu komputasi rata-rata selama 4.59 detik.
English Abstract
Environmental health is one of the important components that are very influential for human life and health. A clean and healthy environment will make every individual around him comfortable and improve the quality of his life. Toilets are part of an environment that is very important. The poor quality of the toilet facilitates the transmission of bacteria and the development of germs. Based on these problems a system was created that could be used to classify the quality of toilets based on several parameters. In this study the parameters used in comparing the quality of the toilet are odor and temperature on the toilet. Where for odor parameters consists of ammonia gas, carbon dioxide, and carbon monoxide. These gases are gases that are often produced in human activities when on the toilet. The process of determining toilet quality through ammonia, carbon monoxide, carbon dioxide, and temperature is obtained from reading two MQ135 sensors and DHT11 sensors by the Arduino Uno microcontroller using the Naive Bayes method. The use of the Naive Bayes method was chosen as a decision making technique for toilet conditions because it has very good accuracy where the class of toilet type classification has been known from the beginning. From the results of several tests the reading of two MQ135 sensors has a very high correlation with the output voltage. Where for ammonia reading has a correlation of 99.13%, carbon monoxide has a correlation of 99.66%, and carbon dioxide 99.22%. Whereas for the temperature reading of the DHT11 sensor it has a presentation error of 0.502%. Furthermore, in testing the Naive Bayes method system with a total of 55 training data and test data as many as 25 data, obtained an accuracy of 96% with an average computing time of 4.59 seconds.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2018/1055/051901084 |
| Uncontrolled Keywords: | Kondisi Toilet, DHT11, MQ135, Naive Bayes-Toilet Conditions, DHT11, MQ135, Naive Bayes |
| Subjects: | 600 Technology (Applied sciences) > 690 Construction of buildings > 690.4 Specific parts of buildings > 690.42 Bathrooms and lavatories |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | soegeng sugeng |
| Date Deposited: | 17 Jun 2020 06:00 |
| Last Modified: | 19 Oct 2021 08:07 |
| URI: | http://repository.ub.ac.id/id/eprint/167144 |
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