MUNDHOLA, AHMAD (2021) PROTOTIPE PERANGKAT UJI INDRA PENCIUMAN DAN SUHU TUBUH SEBAGAI ALAT BANTU PROTOKOL KESEHATAN DI AREA PERKANTORAN BPPT MENGGUNAKAN METODE FUZZY MAMDANI BERBASIS INTERNET OF THINGS. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The implementation of health protocols against the Corona Virus Disease 2019 (Covid-19) pandemic in public areas can be carried out by measuring body temperature (World Health Organization, 2020) and odor identification tests based on an assessment of the function of the sense of smell(Gandhi et al., 2020). The health protocol still requires an operator or examiner and this is done manually. This study aims to design a prototype of a sense of smell and body temperature test device that works automatically as a vehicle for the Covid-19 health protocol in office areas. The prototype was designed using a non-contact temperature sensor and the odor identification test was carried out by randomly testing 5 scents generated through the odor generator. The odor generator system is equipped with Mamdani fuzzy control as a PWM controller for the fan speed to exhale the aroma, with the input parameters of the proximity sensor and the gas sensor Volatile Organic Compounds (VOC). The results of body temperature testing and the total olfactory test score of each respondent are integrated into the BPPT local server database which is integrated with the IoT ThingsBoard platform and sent according to the respondent's email account. Based on the results of prototype testing, the MLX-90614 temperature sensor has an average error percentage of 0.71% on the comparative measuring instrument and the Mamdani fuzzy control output on the Arduino microcontroller has an accuracy of 99.70% based on the simulation comparison in Matlab. Mamdani fuzzy control with the application of the Min rule implication function and the Centroid defuzzification method, can increase the average percentage of correct answer scores in the olfactory sense test of 3 respondents by 14%. Of the 5 aroma samples tested on the prototype, the aroma of coffee and lemon has characteristics that are easily recognized by respondents with an average percentage of correct answers of 93.34%. Keywords: Covid-19 health protocol, olfactory and body temperature test equipment, Internet of Things, Odor Generator, ThingsBoard, Fuzzy Mamdani Method, Centroid Method Penerapan protokol kesehatan terhadap pandemi Corona Virus Disease 2019 (Covid-19) di area umum dapat diakukan dengan pengukuran suhu tubuh (World Health Organization, 2020) dan tes identifikasi bau berdasarkan penilaian fungsi indra penciuman (Gandhi et al., 2020). Dalam protokol kesehatan tersebut masih membutuhkan operator atau petugas penguji dan dilakukan secara manual. Penelitian ini bertujuan untuk merancang prototype perangkat uji indra penciuman dan suhu tubuh yang bekerja secara otomatis sebagai wahana protokol kesehatan Covid-19 di area perkantoran. Prototipe dirancang dengan menggunakan sensor suhu non-kontak dan tes identifikasi bau dilakukan dengan pengujian acak 5 aroma yang dihasilkan melalui generator bau. Sistem generator bau dilengkapi dengan kendali fuzzy Mamdani sebagai pengatur PWM kecepatan kipas menghembuskan aroma, dengan parameter input sensor jarak dan sensor gas Volatile Organic Compounds(VOC). Hasil pengujian suhu tubuh dan total skor uji indra penciuman setiap responden diintegrasikan kedalam database server lokal BPPT yang terintegrasi dengan platform IoT ThingsBoard dan dikirim sesuai akun email milik responden. Berdasarkan hasil pengujian prototipe, sensor suhu MLX-90614 memiliki rata rata prosentase kesalahan sebesar 0,71% terhadap alat ukur pembanding dan keluaran kendali fuzzy Mamdani pada mikrokontroler Arduino memiliki akurasi sebesar 99,70 % berdasarkan perbandingan simulasi pada Matlab. Kendali fuzzy Mamdani dengan aplikasi fungsi implikasi aturan Min serta metode defuzzifikasi Centroid, dapat meningkatkan rata-rata prosentase skor jawaban benar dalam pengujian indra penciuman terhadap 3 responden sebesar 14%. Dari 5 sampel aroma yang diujikan pada prototipe, aroma kopi dan lemon memiliki karakteristik yang mudah dikenali oleh responden dengan rata-rata prosentase jawaban benar sebesar 93,34%. Kata kunci: Protokol kesehatan Covid-19, Perangkat uji indra penciuman dan suhu tubuh, Internet of Things, Generator bau, ThingsBoard, Metode Fuzzy Mamdani, Metode Centroid
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