Prahardis, Renal (2018) Implementasi Sistem Monitoring Polusi Udara Berdasarkan Indeks Standar Pencemaran Udara Dengan Pemodelan Finite State Machine. Sarjana thesis, Universitas Brawijaya.
Abstract
Polusi merupakan permasalahan yang sampai sekarang masih belum bisa terselesaikan. Permasalahan ini diakibatkan oleh banyaknya pengguna kendaraan bermotor yang menimbulkan adanya polusi. Dari permasalahan tersebut perlu adanya sistem yang dapat menentukan kualitas udara yang dapat langsung memperingatkan kepada pengguna melalui aplikasi smartphone ketika kondisi udaranya tidak sehat. Diharapkan dengan adanya penelitian ini, masyarakat akan lebih peduli kesehatannya. Sistem ini menggunakan metode Finite State Machine (FSM) yang bertujuan untuk menerapkan prinsip kerja sistem dengan menggunakan 3 hal, yaitu State, Event, Action. Berdasarkan pengujian yang sudah dilakukan nilai korelasi pembacaan sensor MQ2 dengan tegangan keluarannya 94,45%, sensor MQ7 sebesar 94,98, sensor MQ136 sebesar 95,79. Kemudian untuk sensor DHT22 memiliki rata – rata kesalahan sebesar 2,68%. Selain itu jarak komunikasi NRF dapat berkomunikasi pada jarak maksimal 50 meter, dan jarak konektivitas dengan WiFi ESP dengan jarak maksimal 160 meter. Untuk waktu penerimaan data, waktu paling cepat yaitu 1,13 detik. Kemudian sistem dalam menerapkan permodelan Finite State Machine telah berhasil baik penerapan di Main Device maupun Hub Device dengan presentase keberhasilan 100%
English Abstract
Pollution is a problem that until now still can not be solved. This problem is caused by the number of users of motor vehicles that cause pollution. From these problems need a system that can determine the air quality that can immediately alert the user through the smartphone application when the condition of the air is not healthy. It is expected that with this research, people will be more concerned about their health. This system uses the Finite State Machine method (FSM) which aims to apply the working principle of the system using 3 things, namely State, Event, Action. Based on testing that has been done correlation value of sensor readings MQ2 with output voltage 94.45%, MQ7 sensor of 94.98, MQ136 sensor of 95.79. Then for the sensor DHT22 has an average error of 2.68%. In addition, the communication distance NRF can communicate at a maximum distance of 50 meters, and distance connectivity with WiFi ESP with a maximum distance of 160 meters. For data reception time, the fastest time is 1.13 seconds. Then the system in applying the Finite State Machine modeling has been successful both in the application of the Main Device and Hub Device with a percentage of success of 100%.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2018/82/051801004 |
| Uncontrolled Keywords: | Polusi, ISPU, Android, Finite State Machine |
| Subjects: | 000 Computer science, information and general works > 004 Computer science > 004.015 1 Finite mathematic |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Yusuf Dwi N. |
| Date Deposited: | 26 Jun 2018 07:48 |
| Last Modified: | 27 Oct 2021 05:47 |
| URI: | http://repository.ub.ac.id/id/eprint/11641 |
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