Text

PREDIKSI TINGKAT PENCEMARAN UDARA MENGGUNAKAN FUZZY INFERENCE SYSTEM TSUKAMOTO

---

Penilaian

---

Air is a very important factor in life. In this modern era, along with the increase in population and development in urban areas and industrial centers, this causes air quality. The presence of air pollutants is caused by air pollutant substances such as Particulate Matter (PM10), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO) and Ozone (O3). Therefore, the air quality has changed. From the beginning, the fresh and clean air was now dirty, smoky and dusty. To predict the level of air pollution, the method used is the Fuzzy Inference System model Tsukamoto. This method was chosen because the Tsukamoto fuzzy is a flexible method and has an error tolerance of existing data. Where fuzzy Tsukamoto has a rule in the form of IF-THEN which will be presented in the form of a fuzzy set with a monotonic membership function. The test was carried out using 182 air pollution data and the quality of the accuracy value was 87.36% and the Mean Absolute Percentage Error (MAPE) value was 19.612%. Based on the range of MAPE values described in Palmer's research, it shows that the prediction results obtained are included in the category of accurate predictions.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2207001987	T73335	T733352022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T733352022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xx, 97 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.307

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem Pakar
Jurusan Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment