Rancang Bangun Peralatan IoT Untuk Keperluan Deteksi Karies Gigi Secara PoC(Point of Care)

Nadirco, Samuel Goldio (2023) Rancang Bangun Peralatan IoT Untuk Keperluan Deteksi Karies Gigi Secara PoC(Point of Care). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Fenomena yang melatarbelakangi perancangan ini yaitu susahnya pasien melakukan pemeriksaan kesehatan gigi akibat pandemi Covid-19. Permasalahan yang seringkali dialami oleh pasien adalah karies gigi, hampir setengah dari populasi dunia terdampak oleh karies gigi. Karies gigi yang parah dapat mengganggu kualitas hidup, termasuk kesulitan makan dan tidur, dan pada stadium lanjut dapat mengakibatkan nyeri dan infeksi sistemik kronis. Untuk mengatasi fenomena tersebut diperlukan sebuah alat yang dapat mendeteksi kesehatan gigi pasien secara jarak jauh. Pada tugas akhir ini telah dirancang sebuah alat menggunakan metode fluoresensi optik pada saliva yang dikombinasikan dengan piranti IoT (Internet of Things) berbasis mikrokontroler ESP32. Saliva mengandung enzim Matrix metalloproteinases (MMP) yang berhubungan erat dengan kerusakan gigi. Enzim MMP bereaksi dengan zat curcumin (bersifat fluoresensi) yang ditemukan pada kunyit. Saliva yang dicampur dengan curcumin (sampel) disinari oleh sinar UV menghasilkan cahaya fluoresensi. Cahaya fluoresensi tersebut ditangkap oleh sensor spektrum cahaya yaitu AS 7262. Level kerusakan gigi diamati dari intensitas fluoresensi. Dari hasil pengujian alat didapatkan akurasi sebesar 30%. Penggunaan perangkat ini diharapkan dapat membantu dalam deteksi dini karies gigi dan memfasilitasi intervensi yang tepat waktu, sehingga meningkatkan kesehatan gigi dan mulut secara keseluruhan.
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The phenomenon behind this design is the difficulty for patients to carry out dental health checks due to the Covid-19 pandemic. The problem that is often experienced by patients is dental caries, almost half of the world's coverage is cured by dental caries. Severe dental caries can impair quality of life, including difficulty eating and sleeping, and at an advanced stage can cause chronic systemic pain and infection. To overcome this phenomenon we need a tool that can detect the patient's dental health at a distance. In this final project a tool has been designed using the optical fluorescence method in saliva combined with an IoT (Internet of Things) device based on an ESP32 microcontroller. Saliva contains matrix metalloproteinases (MMP) enzymes which are closely related to tooth decay. The MMP enzyme was tested with curcumin (fluorescent properties) found in turmeric. Saliva mixed with curcumin (sample) is irradiated by UV light to produce fluorescence light. The fluorescence light was captured by a light spectrum sensor, namely AS 7262. The degree of tooth decay was observed from the fluorescence intensity. From the results of testing the tool obtained an accuracy of 30%. The use of these devices is expected to assist in early detection of dental caries and facilitate timely interventions, thus improving overall dental and oral health.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Karies gigi, IoT, ESP32, AS 7262, Matrix metalloproteinases(MMP), Saliva, kurkumin, Fluoresensi, Dental caries, IoT, ESP32, AS7262, Matrix metalloproteinases(MMP), Saliva, Curcumin, fluorescence.
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Samuel Goldio Nadirco
Date Deposited:	26 Jul 2023 15:50
Last Modified:	26 Jul 2023 15:50
URI:	http://repository.its.ac.id/id/eprint/99168

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