Skripsi

PENENTUAN PELUANG TRANSISI KASUS COVID-19 DI SUMATERA SELATAN DENGAN ANALISIS RANTAI MARKOV

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Penilaian

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This study aims to predict the development of daily cases of COVID-19 in South Sumatra in the suspect and recovered confirmed cases categories using Markov chain analysis by finding the probability value of each state at time t+1 until the probability value reaches a steady state condition. The data analyzed in this study is data on the daily number of new cases of COVID-19 in South Sumatra for the suspect and recovered confirmed case categories from January 1, 2022 to July 31, 2022. Determination of state is based on changes in the number of COVID-19 cases. If the number of cases increases is categorized as state 1 (increases state), the number of cases decreases as state 2 (decreases state), and the fixed number of cases as state 3 (fixed state). The transition probability for number of cases of suspect cases of COVID-19 in the steady state condition is 0.46 for an increase in the number of cases, 0.51 for a decrease in the number of cases, and 0.03 for a fixed number of cases. The transition probability for number of cases of recovered confirmed cases of COVID-19 in the steady state condition is 0.42 for an increase in the number of cases, 0.40 for a decrease in the number of cases, and 0.18 for a fixed number of cases. Based on the magnitude of probabilty value, it can be concluded that the addition of the number of new cases for the suspect case category tends to decrease, while for the recovered confirmed cases category tends to increase. Keywords: COVID-19, Markov Chain, Suspect, Recovered Confirmed, Steady State

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000124	T88887	T888872023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T888872023

Publisher

Indralaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya., 2022

Collation

xii, 62 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.285 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Matematika
Pengolahan dan Analisa Data di Bidang Matematika

Specific Detail Info

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Statement of Responsibility

PITRIA

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