Heri Hardiyanto, . (2024) RANCANG BANGUN SISTEM KENDALI DAN PEMANTAUAN PADA DAPUR BERBASIS IOT TERINTEGRASI ANDROID STUDIO. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (12kB) |
|
Text
AWAL.pdf Download (2MB) |
|
Text
BAB 1.pdf Restricted to Repository UPNVJ Only Download (148kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (643kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (656kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
Text
BAB 5.pdf Download (175kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (140kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (25kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (2MB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (12MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (242kB) |
Abstract
The kitchen is an area with a high risk of fire and gas leaks, often caused by LPG gas leaks and increased carbon monoxide (CO) levels. The research aims to design the electrical circuit of the control and monitoring system in the kitchen, design and build a control and monitoring system application that can monitor the results of sensor readings in the kitchen, and analyze the accuracy and precision of the monitoring device for temperature, CO levels, and LPG gas levels in the kitchen based on the Internet of Things. The system uses an MQ-2 sensor to detect gas leaks, an MQ-135 sensor to detect CO levels, and a DHT22 sensor to monitor temperature. Sensor data is sent to a mobile app for real-time monitoring. This study uses the development research method produced on previous products by utilizing hardware and software development Data collection was carried out in three time periods: morning, afternoon, and evening. The results show that the DHT22 sensor has high accuracy and precision with an average accuracy of about 95.31-96.78% and a precision of 99,76-99,85%. The MQ-135 sensor for LPG content shows an accuracy of 81.51-84.84% and a precision of 71.20-76.86%. The MQ-2 sensor for CO has an accuracy of 80.33-83.77% and a precision of 39.07-41.85%. This system is effective in monitoring kitchen conditions and reducing the risk of fire and gas leaks
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010314026] [Pembimbing: Achmad Zuchriadi] [Penguji 1: Silvia Anggraeni] [Penguji 2: Ferdyanto] |
| Uncontrolled Keywords: | IoT, Gas Leaks, Carbon Monoxide, Real-time Monitoring |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > Program Studi Teknik Elektro (S1) |
| Depositing User: | HERI HARDIYANTO |
| Date Deposited: | 02 Sep 2024 04:13 |
| Last Modified: | 02 Sep 2024 04:13 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31393 |
Actions (login required)
 |
View Item |