JUNIASTUTI, SUSANTINA (2025) PROTOTIPE SISTEM TELEMETRI TINGKAT KUALITAS UDARA BERDASARKAN INDEKS STANDAR PENCEMARAN UDARA MELALUI APLIKASI BOT API TELEGRAM. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
![[img]](https://eprints.untirta.ac.id/style/images/fileicons/text.png) |
Text (Fulltext)
Susantina Juniastuti_3332200039_Fulltext.pdf Restricted to Registered users only Download (5MB) |
|
Text (Bab I)
Susantina Juniastuti_3332200039_01.pdf Restricted to Registered users only Download (1MB) |
|
Text (Bab II)
Susantina Juniastuti_3332200039_02.pdf Restricted to Registered users only Download (750kB) |
|
Text (Bab III)
Susantina Juniastuti_3332200039_03.pdf Restricted to Registered users only Download (542kB) |
|
Text (Bab IV)
Susantina Juniastuti_3332200039_04.pdf Restricted to Registered users only Download (420kB) |
|
Text (Bab V)
Susantina Juniastuti_3332200039_05.pdf Restricted to Registered users only Download (9kB) |
|
Text (Daftar Referensi)
Susantina Juniastuti_3332200039_Ref.pdf Restricted to Registered users only Download (252kB) |
|
Text (Lampiran)
Susantina Juniastuti_3332200039_Lamp.pdf Restricted to Registered users only Download (3MB) |
|
Text (Cek Plagiarisme)
Susantina Juniastuti_3332200039_CP.pdf Restricted to Registered users only Download (9MB) |
Abstract
Air pollution has become a significant concern, particularly in densely populated urban areas. Information related to air quality in close proximity to communities is not yet commonly available. This study developed a prototype of an air quality telemetry system using the bot API Telegram application. The prototype employs Arduino Nano and ESP32 microcontrollers to enable internet connectivity. The sensors used in the prototype include the MQ-7 for measuring CO gas with an accuracy of 94.78%, the MQ-135 for measuring NO2 gas with an accuracy of 97.76%, and the DHT22 for measuring temperature and humidity with an average accuracy of 97.87%. The fuzzy logic Mamdani method was utilized in this study to analyze sensor input data and categorize the air quality into levels of good, moderate, and unhealthy. The accuracy of the fuzzy logic method used was 99.76%. The results of air quality information from the prototype created can be monitored online via the Telegram application with a delay of 2.4 seconds.
| Item Type: | Thesis (S1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
|||||||||
| Additional Information: | Pada penelitian ini digunakan mikrokontroler Arduino Nano dan ESP32 serta implementasi metode fuzzy logic pada penelitian pembuatan prototipe dengan sensor gas yang digunakan adalah sensor MQ-7 dan MQ-135 serta menggunakan sensor suhu dan kelembaban DHT22. Prototipe alat yang dibuat diharapkan dapat mengatasi ketidakpastian dalam data sensor dan menghasilkan informasi yang akurat. Adapun penggunaan aplikasi bot Application Programming Interface (API) Telegram sebagai media telemetri yang dapat diperoleh dari jarak jauh dan tidak memerlukan pemantauan di area lokal mengenai informasi kualitas udara, dengan hasil informasi berdasarkan Indeks Standar Pencemaran Udara (ISPU) | |||||||||
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
|||||||||
| Divisions: | 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro | |||||||||
| Depositing User: | Susantina SJ Juniastuti | |||||||||
| Date Deposited: | 06 Jan 2025 13:41 | |||||||||
| Last Modified: | 06 Jan 2025 13:41 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/45166 |
Actions (login required)
 |
View Item |