{"id":"https://openalex.org/W3214637914","doi":"https://doi.org/10.1109/iecon48115.2021.9589699","title":"Fuzzy Unsupervised Approaches to Analyze Covid-19 Spread for School Reopening Decision Making","display_name":"Fuzzy Unsupervised Approaches to Analyze Covid-19 Spread for School Reopening Decision Making","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3214637914","doi":"https://doi.org/10.1109/iecon48115.2021.9589699","mag":"3214637914"},"language":"en","primary_location":{"id":"doi:10.1109/iecon48115.2021.9589699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050029400","display_name":"Feby Artwodini Muqtadiroh","orcid":"https://orcid.org/0000-0002-2304-647X"},"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":"Feby Artwodini Muqtadiroh","raw_affiliation_strings":["Department of Electrical Engineering Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055527258","display_name":"Diana Purwitasari","orcid":"https://orcid.org/0000-0001-7000-7628"},"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":"Diana Purwitasari","raw_affiliation_strings":["Department of Informatics, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036919699","display_name":"Eko Mulyanto Yuniarno","orcid":"https://orcid.org/0000-0003-1243-3025"},"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":"Eko Mulyanto Yuniarno","raw_affiliation_strings":["Department of Electrical Engineering Department of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Department of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102939313","display_name":"Supeno Mardi Susiki Nugroho","orcid":"https://orcid.org/0000-0001-8109-6136"},"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":"Supeno Mardi Susiki Nugroho","raw_affiliation_strings":["Department of Electrical Engineering Department of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Department of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"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":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Department of Electrical Engineering Department of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Department of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019762800","display_name":"Apol Pribadi Subriadi","orcid":"https://orcid.org/0000-0001-9360-8055"},"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":"Apol Pribadi Subriadi","raw_affiliation_strings":["Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052719069","display_name":"Riris Diana Rachmayanti","orcid":"https://orcid.org/0000-0002-8687-4934"},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Airlangga University","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riris Diana Rachmayanti","raw_affiliation_strings":["Health Promotion and Behaviour Sciences Department, Faculty of Public Health, University of Airlangga, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Promotion and Behaviour Sciences Department, Faculty of Public Health, University of Airlangga, Surabaya, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7005,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91818182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9988999962806702,"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":0.9988999962806702,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7087134718894958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410660743713379},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.623732328414917},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.6040502190589905},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5374631881713867},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5070760250091553},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.501915693283081},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4580674469470978},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4090803861618042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3567967712879181},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13332206010818481},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08665069937705994},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0816929042339325},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07621213793754578}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7087134718894958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410660743713379},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.623732328414917},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.6040502190589905},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5374631881713867},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5070760250091553},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.501915693283081},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4580674469470978},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4090803861618042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3567967712879181},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13332206010818481},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08665069937705994},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0816929042339325},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07621213793754578},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon48115.2021.9589699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1973785582","https://openalex.org/W2020427568","https://openalex.org/W2022067587","https://openalex.org/W2097903393","https://openalex.org/W2313126809","https://openalex.org/W2908724328","https://openalex.org/W2921964148","https://openalex.org/W2962793900","https://openalex.org/W2963470891","https://openalex.org/W2990268217","https://openalex.org/W3008827533","https://openalex.org/W3014995369","https://openalex.org/W3015107971","https://openalex.org/W3021555039","https://openalex.org/W3023174373","https://openalex.org/W3024580769","https://openalex.org/W3027574034","https://openalex.org/W3030132878","https://openalex.org/W3036976889","https://openalex.org/W3037554797","https://openalex.org/W3038524942","https://openalex.org/W3039047323","https://openalex.org/W3043901000","https://openalex.org/W3044129294","https://openalex.org/W3045890369","https://openalex.org/W3046642891","https://openalex.org/W3080544186","https://openalex.org/W3086457248","https://openalex.org/W3092118086","https://openalex.org/W3096139462","https://openalex.org/W3116466760","https://openalex.org/W3122638632","https://openalex.org/W3123136237","https://openalex.org/W3124635510","https://openalex.org/W3193227371","https://openalex.org/W6658418283","https://openalex.org/W6757524455","https://openalex.org/W6775738431","https://openalex.org/W6777197742","https://openalex.org/W6777983945","https://openalex.org/W6780512967","https://openalex.org/W6780572263","https://openalex.org/W6799988554"],"related_works":["https://openalex.org/W315394019","https://openalex.org/W2923398117","https://openalex.org/W4309585848","https://openalex.org/W2265383332","https://openalex.org/W4328130279","https://openalex.org/W4313657047","https://openalex.org/W2002342158","https://openalex.org/W3136336094","https://openalex.org/W2105009749","https://openalex.org/W4299387245"],"abstract_inverted_index":{"Virus":[0],"SARS-Cov-2":[1],"causing":[2],"Covid-19":[3,71,92,162,197],"spreads":[4,72],"quickly":[5],"and":[6,40,114,186],"brings":[7],"high":[8],"risks":[9],"to":[10,14,17,20,34,45,54,66,73,79,87,116,137,154,167],"transmissions.":[11],"The":[12,102],"government":[13],"rule":[15],"strictly":[16],"arrange":[18],"strategies":[19],"minimize":[21],"interactions":[22],"through":[23,98,130],"School-From-Home":[24],"(SFH)":[25],"policy.":[26],"Unfortunately,":[27],"the":[28,32,59,63,75,89,108,111,118,121,139,156,159,175,182,208],"school":[29,55,78,171],"closure":[30],"is":[31,65,105],"potential":[33],"hamper":[35],"deliveries":[36],"of":[37,62,70,77,91,158,204],"education":[38,47],"services":[39],"may":[41],"entail":[42],"destructive":[43],"impacts":[44],"quality":[46],"performance.":[48],"There":[49],"must":[50],"be":[51],"a":[52,68,84,165,190,196],"consideration":[53],"reopen":[56,172],"safely":[57,173],"during":[58,174],"pandemic.The":[60],"objective":[61],"research":[64],"produce":[67],"model":[69,86,104,199],"analyze":[74],"readiness":[76],"reopen.":[80],"This":[81],"study":[82,193],"adopts":[83],"SEIR":[85],"predict":[88,117],"spread":[90,119,163,198],"using":[93,145],"dataset":[94],"from":[95,107,126],"23":[96],"March":[97],"31":[99],"December":[100],"2020.":[101],"best":[103],"selected":[106],"one":[109],"having":[110],"least":[112],"error":[113,203],"adopted":[115],"in":[120,142,195],"next":[122],"100":[123],"days":[124],"starting":[125],"01":[127],"January":[128],"2021":[129],"10":[131],"April":[132],"2021.Clustering":[133],"was":[134,151],"then":[135],"implemented":[136],"acquire":[138],"character\u2019s":[140],"proximity":[141],"each":[143],"area":[144],"K-Means":[146],"algorithm.":[147],"While":[148],"unsupervised":[149],"fuzzy":[150],"picked":[152],"out":[153],"seize":[155],"phenomenon":[157],"dynamic":[160],"as":[161,164],"basis":[166],"decision":[168,183],"making":[169,184],"on":[170,207],"pandemic.":[176],"These":[177],"whole":[178],"concepts":[179],"will":[180],"serve":[181],"effectively":[185],"intelligently":[187],"by":[188],"generating":[189],"better":[191],"estimation.This":[192],"resulted":[194],"with":[200],"an":[201],"average":[202],"0.2%":[205],"based":[206],"RMSLE":[209],"calculation.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
