Achmad Sesar Balbo, . (2024) OTOMATISASI AC BERDASARKAN IDENTIFIKASI GERAKAN OBJEK MENGGUNAKAN ALGORITMA YOLOv5 UNTUK SMART LABORATORIUM. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
In a laboratory environment, efficient, accurate, and energy-saving temperature settings are essential to maintain optimal conditions for running experiments and maintaining the devices contained therein. However, manual setting of AC temperature is often inefficient and time consuming. In addition, non-optimal use of AC, such as AC that is on continuously even though there is no activity in the room, causes energy waste and high operational costs. This research aims to develop an AC automation system based on object movement identification using the YOLOv5 algorithm. And this research succeeded in developing an object detection system using the YOLOv5 algorithm which is able to detect the presence of people and various other objects in the laboratory room with high accuracy and fast processing time. This system shows a detection accuracy of 78.3% based on mAP@0.5. When object movement is detected, the system will take appropriate action, such as turning on or off the air conditioner automatically according to the presence of people in the room. In this way, AC temperature settings can be more efficient, save energy, and avoid unwanted temperature fluctuations. Apart from that, this system can also increase the safety and comfort of the laboratory environment.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910511123] [Pembimbing: Didit Widiyanto] [Penguji 1: Tjahjanto] [Penguji 2: Novi Trisman Hadi] |
| Uncontrolled Keywords: | AC Automation, YOLOv5, Energy Saving, Deep Learning |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Achmad Sesar Balbo |
| Date Deposited: | 01 Aug 2024 04:36 |
| Last Modified: | 05 Sep 2024 03:31 |
| URI: | http://repository.upnvj.ac.id/id/eprint/24231 |
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