Skripsi

IMPLEMENTASI ALGORITMA BAYESIAN NETWORK DALAM MEMPREDIKSI INDEKS KUALITAS UDARA

---

Penilaian

---

This research was conducted to be able to predict the level of air pollution by using parameters of air pollution carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), particulate matter (PM2.5) by implementing the Bayesian Network algorithm as algorithm in classifying the independent of each air pollution variable. In addition, this study also calculates the level of accuracy of the prediction results by comparing actual data with testing data. The data used in this study is data downloaded from the United States Environmental Protection Agency (EPA) website, with 365 records of data in the form of an index of the value of air pollution quality in the city of California in January-December 2019 which is used for the training process and testing process in the research. this. The distribution for testing data is 304 data records and training data is 61 data records. Tests were carried out using Jupyter Notebook software and WEKA software ver.3.8.4. The results of prediction testing with the Bayesian Network algorithm obtained in the Jupyter Notebook software are 90.14 and the results on WEKA software ver.3.8.4 are 98.63%, 99.08%, 98.63, and 100%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000911	T40797	T407972020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T407972020

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2020

Collation

xv, 65 hlm.; ilus., tab.: 28 cm

Language

Indonesia

ISBN/ISSN

-

Classification

003.07

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem komputer
Ilmu Komputer
Algoritma Bayesian

Specific Detail Info

-

Statement of Responsibility

EM

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment