Aiti: Jurnal Teknologi Informasi
Vol 20 No 2 (2023)

Prediksi dan visualisasi penyakit COVID-19 menggunakan kombinasi Prophet dan GeoPandas

Ardito Laksono Suryoputro (Universitas Kristen Satya Wacana)
Sri Yulianto Joko Prasetyo (Universitas Kristen Satya Wacana)

Article Info

Publish Date
25 Aug 2023

Abstract

Covid-19 is spreading very rapidly. Indonesia is one of the countries with the highest cases in Southeast Asia. The purpose of this research is to use machine learning models with the help of tools such as Prophet to predict the trend of the Covid-19 outbreak in Indonesia. Obtained data will be visualized using a Geographic Information System (GIS) with Geopandas, which is used to visualize the spread of Covid-19 in Indonesia. Predictions with three tuning methods using Prophet with trend flexibility and holiday effects scored the best, with 0.68 for RMSLE and 1070 for MAE. Based on the use of Geopandas for Covid-19 cases in Indonesia, Geopandas can be used to visualize geospatial data effectively.

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Journal Info
Aiti: Jurnal Teknologi Informasi
Website

Abbrev

aiti

Publisher

Universitas Kristen Satya Wacana

Subject

Computer Science & IT

Description

AITI: Jurnal Teknologi Informasi is a peer-review journal focusing on information system and technology issues. AITI invites academics and researchers who do original research in information system and technology, including but not limited to: Cryptography Networking Internet of Things Big Data Data ...