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Modeling Simulation of COVID-19 in Indonesia based on Early Endemic Data

Communication in Biomathematical Sciences · Vol. 3 No. 1 (2020) · hlm. 1–8

DOI
10.5614/cbms.2020.3.1.1
ISSN
2549-2896
Terbit
2020-04-17
Penerbit
The Indonesian Bio-Mathematical Society
Bahasa
eng

Abstrak

The COVID-19 pandemic has recently caused so much anxiety and speculation around the world. This phenomenon was mainly driven by the drastic increase in the number of infected people with the COVID-19 virus worldwide. Here we propose a simple model to predict the endemic in Indonesia. The model is based on the Richard's Curve that represents a modified logistic equation. Based on the similar trends of initial data between Indonesia and South Korea, we use parameter values that are obtained through parameter estimation of the model to the data in South Korea. Further, we use a strict assumption that the implemented strategy in Indonesia is as effective as in South Korea. The results show that endemic will end in April 2020 with the total number of cases more than 8000.

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  • Bandung Institute of Technology
  • Institut Teknologi Sepuluh Nopember
  • Khalifa University of Science and Technology
  • Norwegian University of Science and Technology
  • Mulawarman University
  • Sunan Gunung Djati State Islamic University Bandung
  • University of Koblenz and Landau
  • Organisasi lain
  • Afiliasi tidak diketahui
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  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Muhammad FakhruddinBandung Institute of Technology4
Yuki Novia NasutionMulawarman University4
Edy SoewonoBandung Institute of Technology3
Hadi SusantoKhalifa University of Science and Technology3
Venansius Ryan TjahjonoInstitut Teknologi Sepuluh Nopember3
Agus HasanNorwegian University of Science and Technology3
Roberd SaragihBandung Institute of Technology2
Dewi HandayaniBandung Institute of Technology2
Dewi SuhikaBandung Institute of Technology2
Rudy KusdiantaraBandung Institute of Technology2
Endah PutriAfiliasi tidak diketahui2
WidyastutiAfiliasi tidak diketahui2
Dila PuspitaBandung Institute of Technology2
NadiaAfiliasi tidak diketahui2
Chai Jian TayUniversiti Malaysia Pahang Al-Sultan Abdullah2
Afdol ZikriBandung Institute of Technology2
Sila RizqinaBandung Institute of Technology2
Mia Siti KhumaerohSunan Gunung Djati State Islamic University Bandung1
Ilham Saiful FauziBandung Institute of Technology1
Karunia Putra WijayaUniversity of Koblenz and Landau1
Yenie SyukriyahBandung Institute of Technology1
Endah R.M. PutriInstitut Teknologi Sepuluh Nopember1
H. KurniawanInstitut Teknologi Sepuluh Nopember1
Muhammad KasimUniversity of Oxford1
Vania Mene RisrianiBandung Institute of Technology1
Tjandra AnggraeniBandung Institute of Technology1
Glenn Lahodny Jr.Afiliasi tidak diketahui1
Anita TriskaPadjadjaran University1
Mona ZevikaBandung Institute of Technology1
. FaridaAfiliasi tidak diketahui1
. SudirmanAfiliasi tidak diketahui1
Hilda FahlenaBandung Institute of Technology1
Widya OktavianaBandung Institute of Technology1
Retno Wahyu DewantiInstitut Teknologi Kalimantan1
Nuning NurainiBandung Institute of Technology1
Muhammad FakhruddinNational Research and Innovation Agency1
Wisnu Prasojo WidiantoBandung Institute of Technology1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://journals.itb.ac.id/index.php/cbms/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Modeling Simulation of COVID-19 in Indonesia based on Early Endemic Data</dc:title>
	<dc:creator>Nuraini, Nuning</dc:creator>
	<dc:creator>Khairudin, Kamal</dc:creator>
	<dc:creator>Apri, Mochamad</dc:creator>
	<dc:subject xml:lang="en-US">mathematical model</dc:subject>
	<dc:subject xml:lang="en-US">COVID-19</dc:subject>
	<dc:subject xml:lang="en-US">Richard’s curve</dc:subject>
	<dc:subject xml:lang="en-US">Indonesia.</dc:subject>
	<dc:description xml:lang="en-US">The COVID-19 pandemic has recently caused so much anxiety and speculation around the world. This phenomenon was mainly driven by the drastic increase in the number of infected people with the COVID-19 virus worldwide. Here we propose a simple model to predict the endemic in Indonesia. The model is based on the Richard's Curve that represents a modified logistic equation. Based on the similar trends of initial data between Indonesia and South Korea, we use parameter values that are obtained through parameter estimation of the model to the data in South Korea. Further, we use a strict assumption that the implemented strategy in Indonesia is as effective as in South Korea. The results show that endemic will end in April 2020 with the total number of cases more than 8000.</dc:description>
	<dc:publisher xml:lang="en-US">The Indonesian Bio-Mathematical Society</dc:publisher>
	<dc:date>2020-04-17</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/cbms/article/view/13395</dc:identifier>
	<dc:identifier>10.5614/cbms.2020.3.1.1</dc:identifier>
	<dc:source xml:lang="en-US">Communication in Biomathematical Sciences; Vol. 3 No. 1 (2020); 1-8</dc:source>
	<dc:source>2549-2896</dc:source>
	<dc:source>10.5614/cbms.2020.3.1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/cbms/article/view/13395/4641</dc:relation>
</oai_dc:dc>