IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA
Corona Virus Disease 2019 (COVID-19) is a new virus that can be transmitted and the worst impact is death. Covid-19 first appeared in Wuhan, China and eventually spread throughout the world, one of which was North Sumatra Province. The spread of Covid-19 cases was quite rapid, until finally the Worl...
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| Format: | Article |
| Language: | English |
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Program Studi Matematika, Fakultas Sains dan Teknologi, UINSU Medan
2023-02-01
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| Series: | Zero: Jurnal Sains, Matematika, dan Terapan |
| Subjects: | |
| Online Access: | http://jurnal.uinsu.ac.id/index.php/zero/article/view/14785 |
| _version_ | 1797802522822311936 |
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| author | Alfina Febriani Nasution Riri Syafitri Lubis Rina Widyasari |
| author_facet | Alfina Febriani Nasution Riri Syafitri Lubis Rina Widyasari |
| author_sort | Alfina Febriani Nasution |
| collection | DOAJ |
| description | Corona Virus Disease 2019 (COVID-19) is a new virus that can be transmitted and the worst impact is death. Covid-19 first appeared in Wuhan, China and eventually spread throughout the world, one of which was North Sumatra Province. The spread of Covid-19 cases was quite rapid, until finally the World Health Organization (WHO) declared the Covid-19 case a pandemic. Based on the conditions that occurred, this final project discusses the prediction of positive cases of Covid-19 in five locations in North Sumatra using the Generalized Space Time Autoregressive (GSTAR) model. Considering that Covid-19 spreads very easily, it does not only depend on time but also the proximity between locations, so the GSTAR model is quite good to use in predicting it, assuming the parameters between locations are heterogeneous. The estimation used is OLS with inverse distance weight. This study aims to determine the best GSTAR model and forecast positive cases of Covid-19 at five locations in North Sumatra. The results show that the best GSTAR model in this study is -OLS with an inverse weight of distance with forecasting results for the next 10 days in May 2022. |
| first_indexed | 2024-03-13T05:08:05Z |
| format | Article |
| id | doaj.art-90270f67f1ed425dab0c36fd1e90c515 |
| institution | Directory Open Access Journal |
| issn | 2580-569X 2580-5754 |
| language | English |
| last_indexed | 2024-03-13T05:08:05Z |
| publishDate | 2023-02-01 |
| publisher | Program Studi Matematika, Fakultas Sains dan Teknologi, UINSU Medan |
| record_format | Article |
| series | Zero: Jurnal Sains, Matematika, dan Terapan |
| spelling | doaj.art-90270f67f1ed425dab0c36fd1e90c5152023-06-16T07:59:58ZengProgram Studi Matematika, Fakultas Sains dan Teknologi, UINSU MedanZero: Jurnal Sains, Matematika, dan Terapan2580-569X2580-57542023-02-016215716610.30829/zero.v6i2.147855805IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRAAlfina Febriani Nasution0Riri Syafitri Lubis1Rina Widyasari2Universitas Islam Negeri Sumatera UtaraUniversitas Islam Negeri Sumatera UtaraUniversitas Islam Negeri Sumatera UtaraCorona Virus Disease 2019 (COVID-19) is a new virus that can be transmitted and the worst impact is death. Covid-19 first appeared in Wuhan, China and eventually spread throughout the world, one of which was North Sumatra Province. The spread of Covid-19 cases was quite rapid, until finally the World Health Organization (WHO) declared the Covid-19 case a pandemic. Based on the conditions that occurred, this final project discusses the prediction of positive cases of Covid-19 in five locations in North Sumatra using the Generalized Space Time Autoregressive (GSTAR) model. Considering that Covid-19 spreads very easily, it does not only depend on time but also the proximity between locations, so the GSTAR model is quite good to use in predicting it, assuming the parameters between locations are heterogeneous. The estimation used is OLS with inverse distance weight. This study aims to determine the best GSTAR model and forecast positive cases of Covid-19 at five locations in North Sumatra. The results show that the best GSTAR model in this study is -OLS with an inverse weight of distance with forecasting results for the next 10 days in May 2022.http://jurnal.uinsu.ac.id/index.php/zero/article/view/14785gstarcovid-19inverse distance location location weighting matrixols |
| spellingShingle | Alfina Febriani Nasution Riri Syafitri Lubis Rina Widyasari IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA Zero: Jurnal Sains, Matematika, dan Terapan gstar covid-19 inverse distance location location weighting matrix ols |
| title | IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA |
| title_full | IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA |
| title_fullStr | IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA |
| title_full_unstemmed | IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA |
| title_short | IMPLEMENTATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) MODEL IN THE CASE OF THE SPREAD OF CORONAVIRUS IN THE DISTRICT CITY OF NORTH SUMATRA |
| title_sort | implementation of the generalized space time autoregressive gstar model in the case of the spread of coronavirus in the district city of north sumatra |
| topic | gstar covid-19 inverse distance location location weighting matrix ols |
| url | http://jurnal.uinsu.ac.id/index.php/zero/article/view/14785 |
| work_keys_str_mv | AT alfinafebrianinasution implementationofthegeneralizedspacetimeautoregressivegstarmodelinthecaseofthespreadofcoronavirusinthedistrictcityofnorthsumatra AT ririsyafitrilubis implementationofthegeneralizedspacetimeautoregressivegstarmodelinthecaseofthespreadofcoronavirusinthedistrictcityofnorthsumatra AT rinawidyasari implementationofthegeneralizedspacetimeautoregressivegstarmodelinthecaseofthespreadofcoronavirusinthedistrictcityofnorthsumatra |