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DESAIN KONTROL PENGOBATAN PADA MODEL SIRD UNTUK PENYEBARAN VIRUS COVID-19 MENGGUNAKAN BACKSTEPPING

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 15 No. 4 (2021) · hlm. 697–708

DOI
10.30598/barekengvol15iss4pp697-708
ISSN
2615-3017, 1978-7227
Terbit
2021-12-01
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng

Abstrak

In this article, we present a control design on a SIRD model with treatment in infected individuals. The SIRD model with treatment is obtained from literature study and the parameter model is obtained from covid-19 daily case in the Riau province using the Particle Swarm Optimization method. The control design is carried out based on the backstepping method combined with feedback linearization based on input and output (IOFL). The SIRD model which is a nonlinear system will be transformed into a normal form using IOFL. Each variable is then stabilized Lyapunov using virtual control which at the same time generates a new state variable. This stage will be carried out iteratively until the last state variable is stabilized using a real control function. This control function is then applied to the SIRD model using the inverse of IOFL transformation. The simulation results compared with the Pontryagin Minimum Principle (PMP) method show that by selecting the appropriate control parameters, backstepping obtains better control performance which is a smaller number of infected populations.

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22 penulis · 39 tautan kepenulisan bersama · 19 lintas organisasi

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  • Bandung Institute of Technology
  • Riau University
  • Telkom University
  • Institut Teknologi Del
  • Institut Teknologi Telkom Purwokerto
  • Sekolah Tinggi Agama Islam Negeri Sultan Abdurrahman Kepulauan Riau
  • Universitas Islam Negeri Jurai Siwo Lampung
  • Organisasi lain
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Dewi HandayaniBandung Institute of Technology10
Dewi SuhikaBandung Institute of Technology2
Mochamad ApriBandung Institute of Technology2
Suhono Harso SupangkatBandung Institute of Technology1
Sinung SuakantoTelkom University1
Suhardi SuhardiBandung Institute of Technology1
Tegar Arifin PrasetyoInstitut Teknologi Del1
Aminatus Sa’adahInstitut Teknologi Telkom Purwokerto1
Supriadi PutraRiau University1
Sukma Adi PerdanaSekolah Tinggi Agama Islam Negeri Sultan Abdurrahman Kepulauan Riau1
Hanna Hilyati AuliaUniversitas Islam Negeri Jurai Siwo Lampung1
Dewi HandayaniBandung Institute of Technology1
B. RiyantoBandung Institute of Technology1
Fatmawati FatmawatiUniversitas Airlangga1
Yudi SoeharyadiBandung Institute of Technology1
Bambang RiyantoBandung Institute of Technology1
Widowati WidowatiState University of Semarang1
Rieske HadiantiBandung Institute of Technology1
L. DahliantiniBandung 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) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">DESAIN KONTROL PENGOBATAN PADA MODEL SIRD UNTUK PENYEBARAN VIRUS COVID-19 MENGGUNAKAN BACKSTEPPING</dc:title>
	<dc:creator>Mu'tamar, Khozin</dc:creator>
	<dc:creator>Naiborhu, Janson</dc:creator>
	<dc:creator>Saragih, Roberd</dc:creator>
	<dc:description xml:lang="en-US">In this article, we present a control design on a SIRD model with treatment in infected individuals. The SIRD model with treatment is obtained from literature study and the parameter model is obtained&amp;nbsp; from covid-19 daily case in the Riau province using the Particle Swarm Optimization method. The control design is carried out based on the backstepping method combined with feedback linearization based on input and output (IOFL). The SIRD model which is a nonlinear system will be transformed into a normal form using IOFL. Each variable is then stabilized Lyapunov using virtual control which at the same time generates a new state variable. This stage will be carried out iteratively until the last state variable is stabilized using a real control function. This control function is then applied to the SIRD model using the inverse of IOFL transformation. The simulation results compared with the Pontryagin Minimum Principle (PMP) method show that by selecting the appropriate control parameters, backstepping obtains better control performance which is a smaller number of infected populations.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2021-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3856</dc:identifier>
	<dc:identifier>10.30598/barekengvol15iss4pp697-708</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 697-708</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol15iss4year2021</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3856/3576</dc:relation>
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