{"id":"https://openalex.org/W3211067883","doi":null,"title":"Implementasi Metode K-Nearst Neighbor Berbasis Euclidean Distance Untuk Klasifikasi Penerimaan Vaksin Covid-19","display_name":"Implementasi Metode K-Nearst Neighbor Berbasis Euclidean Distance Untuk Klasifikasi Penerimaan Vaksin Covid-19","publication_year":2021,"publication_date":"2021-09-30","ids":{"openalex":"https://openalex.org/W3211067883","mag":"3211067883"},"language":"id","primary_location":{"id":"mag:3211067883","doi":null,"is_oa":true,"landing_page_url":"http://e-journal.janabadra.ac.id/index.php/informasiinteraktif/article/download/1426/966","pdf_url":null,"source":{"id":"https://openalex.org/S4306513245","display_name":"Informasi Interaktif","issn_l":"2527-5232","issn":["2527-5232","2527-5240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315193","host_organization_name":"Janabadra University","host_organization_lineage":["https://openalex.org/P4310315193"],"host_organization_lineage_names":["Janabadra University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Informasi Interaktif","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://e-journal.janabadra.ac.id/index.php/informasiinteraktif/article/download/1426/966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060771751","display_name":"Yumarlin MZ","orcid":"https://orcid.org/0000-0003-0782-2771","observed_orcids":["https://orcid.org/0000-0003-0782-2771"]},"institutions":[{"id":"https://openalex.org/I4210147524","display_name":"Janabadra University","ror":"https://ror.org/05j20qz36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147524"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Yumarlin MZ","raw_affiliation_strings":["Universitas Janabadra"],"raw_orcid":"https://orcid.org/0000-0003-0782-2771","affiliations":[{"raw_affiliation_string":"Universitas Janabadra","institution_ids":["https://openalex.org/I4210147524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057510814","display_name":"Rizqi Mirza Fadilla","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210147524","display_name":"Janabadra University","ror":"https://ror.org/05j20qz36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147524"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rizqi Mirza Fadilla","raw_affiliation_strings":["Universitas Janabadra"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Janabadra","institution_ids":["https://openalex.org/I4210147524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112573771","display_name":"Indra Pratama","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210147524","display_name":"Janabadra University","ror":"https://ror.org/05j20qz36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147524"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Indra Pratama","raw_affiliation_strings":["Universitas Janabadra"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Janabadra","institution_ids":["https://openalex.org/I4210147524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210147524"],"apc_list":null,"apc_paid":null,"fwci":0.1595,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51814549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"6","issue":"3","first_page":"111","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9883000254631042,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9883000254631042,"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"}},{"id":"https://openalex.org/T11734","display_name":"Decision Support System Applications","score":0.00559999980032444,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covid-19-vaccination","display_name":"COVID-19 vaccination","score":0.9300000071525574},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.8479999899864197},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.996999979019165},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"decision support system","score":0.6259999871253967},{"id":"https://openalex.org/keywords/feature-weighting","display_name":"feature weighting","score":0.4180000126361847},{"id":"https://openalex.org/keywords/pregnant-women","display_name":"pregnant women","score":0.3880000114440918},{"id":"https://openalex.org/keywords/frontline-workers","display_name":"frontline workers","score":0.6959999799728394}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7176001667976379},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6492965817451477},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.608611524105072},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5639352798461914},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5419955253601074},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.4800732731819153},{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.47746968269348145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42142975330352783},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36398637294769287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3300807476043701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2526967525482178},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18956947326660156},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.1727166473865509},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.1400747001171112},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.13029178977012634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09973704814910889},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3211067883","doi":null,"is_oa":true,"landing_page_url":"http://e-journal.janabadra.ac.id/index.php/informasiinteraktif/article/download/1426/966","pdf_url":null,"source":{"id":"https://openalex.org/S4306513245","display_name":"Informasi Interaktif","issn_l":"2527-5232","issn":["2527-5232","2527-5240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315193","host_organization_name":"Janabadra University","host_organization_lineage":["https://openalex.org/P4310315193"],"host_organization_lineage_names":["Janabadra University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Informasi Interaktif","raw_type":null}],"best_oa_location":{"id":"mag:3211067883","doi":null,"is_oa":true,"landing_page_url":"http://e-journal.janabadra.ac.id/index.php/informasiinteraktif/article/download/1426/966","pdf_url":null,"source":{"id":"https://openalex.org/S4306513245","display_name":"Informasi Interaktif","issn_l":"2527-5232","issn":["2527-5232","2527-5240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315193","host_organization_name":"Janabadra University","host_organization_lineage":["https://openalex.org/P4310315193"],"host_organization_lineage_names":["Janabadra University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Informasi Interaktif","raw_type":null},"sustainable_development_goals":[{"score":0.8371999859809875,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391806601","https://openalex.org/W7217854195","https://openalex.org/W4399361237","https://openalex.org/W7081924274","https://openalex.org/W3203638897","https://openalex.org/W4214554125","https://openalex.org/W4206683199","https://openalex.org/W3111851693","https://openalex.org/W3135565428","https://openalex.org/W4318256536"],"abstract_inverted_index":{"The":[0],"first":[1],"semester":[2],"of":[3,20,31,34,36,39,43,48,53,69,79,98,168,188,227],"2020":[4,44],"the":[5,21,25,29,32,37,46,51,56,70,77,96,121,128,135,141,166,186,200,225,228],"COVID-19":[6,136],"pandemic":[7],"took":[8],"place,":[9],"resulting":[10],"in":[11,50,162,198,215],"many":[12],"countries":[13],"implementing":[14],"massive":[15],"social":[16],"restrictions.":[17],"And":[18],"one":[19,68],"solutions":[22,71],"provided":[23],"by":[24],"government":[26],"is":[27,64,117,125,155,210],"through":[28],"regulation":[30],"Minister":[33],"Health":[35],"Republic":[38],"Indonesia":[40],"number":[41],"84":[42],"regarding":[45],"implementation":[47],"vaccinations":[49],"context":[52],"dealing":[54,132],"with":[55,134],"2019":[57],"corona":[58],"virus":[59],"disease":[60],"pandemic.":[61,137],"This":[62,86,138,149],"vaccine":[63,99,170],"expected":[65],"to":[66,72,89,106,127,158,218],"be":[67,219],"prevent":[73,76],"transmission":[74],"and":[75,91,114,160,181,190,206],"risk":[78],"spreading":[80],"COVID-19.":[81],"study":[87],"aims":[88],"design":[90],"build":[92],"an":[93,259],"application":[94],"for":[95,203,224],"classification":[97],"recipients":[100],"based":[101,110,119,145,184],"on":[102,111,120,146,185],"their":[103,107],"urgency":[104],"according":[105],"priority":[108,124],"scale":[109],"predetermined":[112],"criteria":[113,173],"sub-criteria.":[115],"Vaccination":[116],"given":[118,126],"order":[122],"where":[123],"frontline":[129],"who":[130],"are":[131,174],"directly":[133],"research":[139],"implements":[140],"K-Nearest":[142,249],"Neighbor":[143,250],"method":[144,150],"Euclidean":[147],"distance.":[148,164],"was":[151],"chosen":[152],"because":[153],"it":[154],"simple,":[156],"easy":[157],"learn":[159],"effective":[161],"determining":[163,199],"In":[165],"process":[167,209],"classifying":[169],"recipients,":[171],"several":[172],"needed,":[175],"namely":[176],"gender,":[177],"occupation,":[178],"age,":[179],"pregnancy":[180],"medical":[182],"history":[183],"results":[187,214],"observations":[189],"interviews":[191],"that":[192],"have":[193],"been":[194],"carried":[195,211],"out.":[196],"Then":[197],"weight":[201],"value":[202],"each":[204],"criterion/attribute,":[205],"a":[207,216,222],"ranking":[208],"out":[212],"which":[213],"decision":[217],"used":[220],"as":[221],"recommendation":[223],"recipient":[226],"covid-19":[229],"vaccine.":[230],"Keywords:":[235],"Vaccine":[239],",":[241,252],"Covid-19,":[246],"Euclid":[255],"e":[257],"distance":[260]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2021-11-08T00:00:00"}
