Ainur Rochman, Bram (2021) Sistem IoT Pada Robot Sterilisasi Ruangan Berbasis Sinar UV. Sarjana thesis, Universitas Brawijaya.
Abstract
COVID-19 merupakan virus yang berbahaya dan dapat mengifeksi siapapun tidak terkecuali tenaga medis. Penularan COVID-19 tidak hanya melalui udara tetapi juga melalui droplet yang menempel pada permukaan benda mati. Tenaga pembersih rumah sakit yang masih membersihkan ruangan secara manual sangat rentan tertular virus COVID-19. Oleh karena itu pada penelitian ini telah dirancang sistem IoT yang dapat mengendalikan Robot Sterilisasi Ruangan dari jarak jauh. Sistem ini diharapkan dapat membantu mengurangi penyebaran COVID-19 pada tenaga medis karena bersentuhan langsung dengan droplet pasien COVID-19. Sistem ini menggunakan mikrokontroler ESP32-CAM dan menggunakan protokol komunikasi websocket. Protokol komunikasi websocket merupakan protokol komunikasi full-duplex sehingga sistem yang dibuat memiliki latency yang relatif kecil. Dari hasil pengujian didapatkan kecepatan transmisi data dipengaruhi oleh kualitas gambar dan juga besar frame video. Semakin bagus kualitas gambar dan semakin besar frame video menyebabkan kecepatan transmisi data kamera akan semakin lama dan menyebabkan hasil video akan patah patah. Pada pengujian kesesuaian tranmisi data didapatkan bahwa data yang dikirim web dan data yang diterima mikrokontroler sesuai. Pada jarak 0-10 meter WiFi robot ini memiliki kategori cukup baik, sedangkan pada jarak 10-40 meter WiFi robot ini memiliki kategori buruk. Pada jarak 40 meter WiFi robot ini masih dapat diakses oleh pengguna dan juga masih dapat digunakan untuk mengoprasikan robot.
English Abstract
Bram Ainur Rochman, Department of Electrical Engineering, Faculty of Engineering Universitas Brawijaya, May 2020, IoT System in UV-Based Room Sterilization Robot, Supervisors: Waru Djuriatno and Eka Maulana. COVID-19 is a dangerous virus and can infect anyone, including medical personnel. The transmission of COVID-19 is not only through the air but also through droplets attached to the surface of inanimate objects. Hospital cleaning staff who still clean the room manually are very vulnerable to contracting the COVID-19 virus. Therefore, in this study, an IoT system has been designed that can control the Room Sterilization Robot remotely. This system is expected to help reduce the spread of COVID-19 to medical personnel due to direct contact with COVID-19 patient droplets. This system uses an ESP32-CAM microcontroller and a websocket communication protocol. The websocket communication protocol is a full-duplex communication protocol so that the system created has a relatively small latency. From the test results obtained data transmission speed is influenced by image quality and also the size of the video frame. the better the image quality and the larger the video frame, the longer the camera data transmission speed and the resulting broken video. In testing the suitability of data transmission, it was found that the data sent by the web and the data received by the microcontroller matched. At a distance of 0-10 meters this robot's WiFi has a pretty good category, while at a distance of 10-40 meters this robot's WiFi has a bad category. At a distance of 40 meters the WiFi robot can still be accessed by the user and can still be used to operate the robot. Keywords: Internet of Things, Websocket, Sterilization Robot.
Other obstract
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Item Type: | Thesis (Sarjana) |
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Identification Number: | 621.381 |
Uncontrolled Keywords: | Kata Kunci : Internet of Things, Websocket, Robot Sterilisasi-- Internet of Things, Websocket, Sterilization Robot. |
Subjects: | 600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting > 621.38 Electronics, communications engineering > 621.381 Electronics |
Depositing User: | Unnamed user with email gaby |
Date Deposited: | 20 Oct 2021 03:15 |
Last Modified: | 23 Feb 2022 07:32 |
URI: | http://repository.ub.ac.id/id/eprint/184255 |
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Text (DALAM MASA EMBARGO)
BRAM AINUR ROCHMAN.pdf Restricted to Registered users only until 31 December 2023. Download (3MB) |
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