{"id":"https://openalex.org/W3190537200","doi":"https://doi.org/10.1109/icaicst53116.2021.9497836","title":"Modelling MIMO Transfer Functions for Analysis of The Relationship Between Temperature and Air Humidity with the Number of Confirmation, Suspect and Probable COVID-19 in Surabaya","display_name":"Modelling MIMO Transfer Functions for Analysis of The Relationship Between Temperature and Air Humidity with the Number of Confirmation, Suspect and Probable COVID-19 in Surabaya","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3190537200","doi":"https://doi.org/10.1109/icaicst53116.2021.9497836","mag":"3190537200"},"language":"en","primary_location":{"id":"doi:10.1109/icaicst53116.2021.9497836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaicst53116.2021.9497836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039764517","display_name":"Cinthia Vairra Hudiyanti","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Cinthia Vairra Hudiyanti","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026066711","display_name":"Joko Lianto Buliali","orcid":"https://orcid.org/0000-0002-0990-3164"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Joko Lianto Buliali","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064309899","display_name":"Ahmad Saikhu","orcid":"https://orcid.org/0000-0001-8753-263X"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ahmad Saikhu","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039764517"],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":0.0896,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.38060556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12916","display_name":"COVID-19 impact on air quality","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7657771110534668},{"id":"https://openalex.org/keywords/suspect","display_name":"Suspect","score":0.6675630211830139},{"id":"https://openalex.org/keywords/humidity","display_name":"Humidity","score":0.6448807716369629},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.48304063081741333},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.47627443075180054},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.47526878118515015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47067126631736755},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.43612033128738403},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4194108247756958},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.41239312291145325},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3350335955619812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3002592623233795},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2981839179992676},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2531384229660034},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.22161197662353516},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2147091031074524},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.1825506091117859},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.15029144287109375}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7657771110534668},{"id":"https://openalex.org/C2778223634","wikidata":"https://www.wikidata.org/wiki/Q224952","display_name":"Suspect","level":2,"score":0.6675630211830139},{"id":"https://openalex.org/C151420433","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Humidity","level":2,"score":0.6448807716369629},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.48304063081741333},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.47627443075180054},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.47526878118515015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47067126631736755},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.43612033128738403},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4194108247756958},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.41239312291145325},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3350335955619812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3002592623233795},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2981839179992676},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2531384229660034},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.22161197662353516},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2147091031074524},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.1825506091117859},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.15029144287109375},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaicst53116.2021.9497836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaicst53116.2021.9497836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2084095064","https://openalex.org/W2486617825","https://openalex.org/W2498803165","https://openalex.org/W2783862426","https://openalex.org/W2991509677","https://openalex.org/W3006914768","https://openalex.org/W3016668033","https://openalex.org/W3018303981","https://openalex.org/W3022479199","https://openalex.org/W3024923664","https://openalex.org/W3087558377","https://openalex.org/W3121628109","https://openalex.org/W6771484528"],"related_works":["https://openalex.org/W4200329650","https://openalex.org/W3127156785","https://openalex.org/W3009669391","https://openalex.org/W4206669628","https://openalex.org/W4205317059","https://openalex.org/W3005417802","https://openalex.org/W3084498529","https://openalex.org/W3171943759","https://openalex.org/W4226296940","https://openalex.org/W3036314732"],"abstract_inverted_index":{"In":[0],"Indonesia,":[1],"the":[2,15,42,45,57,60,70,80,83,106,116,123,127,135,138,144,149,152,156],"first":[3],"case":[4],"of":[5,29,35,48,62,72,85,118,137,151],"COVID-19":[6,36,63,86],"was":[7],"found":[8],"on":[9,126],"March":[10],"2,":[11],"2020.":[12],"Until":[13],"now,":[14],"Coronavirus":[16],"(COVID-19)":[17],"has":[18],"become":[19],"a":[20],"severe":[21],"concern":[22],"to":[23,38,148],"global":[24],"public":[25],"health.":[26],"The":[27,94],"number":[28,47,71,84,117],"confirmed,":[30],"suspected,":[31],"and":[32,64,75,90,120],"probable":[33],"cases":[34,87],"continues":[37],"grow.":[39],"Surabaya":[40],"is":[41],"city":[43],"with":[44,88],"second-highest":[46],"confirmed":[49],"patients":[50],"after":[51],"Jakarta.":[52],"Studies":[53],"have":[54],"also":[55],"examined":[56],"influence":[58,112],"between":[59,82],"transmission":[61],"some":[65],"climatic":[66],"variables,":[67],"which":[68],"impacts":[69],"confirmations,":[73],"suspects,":[74],"probable.":[76],"This":[77],"research":[78],"analyzed":[79],"relationship":[81],"temperature":[89,104],"humidity":[91],"in":[92],"Surabaya.":[93],"results":[95],"showed":[96],"that":[97,100,111,134],"climate":[98],"variables":[99,110],"affect":[101,105],"only":[102],"air":[103],"suspect":[107],"value.":[108],"Other":[109],"each":[113],"other":[114],"are":[115],"confirmations":[119],"suspects.":[121],"From":[122],"accuracy":[124,145,150],"value":[125,146],"test":[128,153],"data,":[129],"it":[130],"can":[131,142],"be":[132],"seen":[133],"use":[136],"MIMO":[139],"transfer":[140],"function":[141],"increase":[143],"compared":[147],"data":[154],"using":[155],"ARIMA":[157],"method.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}