{"id":"https://openalex.org/W7219356201","doi":null,"title":"Perbandingan Algoritma Naive Bayes dan K-Means untuk menentukan Status Gizi Stanting","display_name":"Perbandingan Algoritma Naive Bayes dan K-Means untuk menentukan Status Gizi Stanting","publication_year":2025,"publication_date":"2025-08-14","ids":{"openalex":"https://openalex.org/W7219356201"},"language":"id","primary_location":{"id":"pmh:oai:journal.uin-alauddin.ac.id:article/60810","doi":null,"is_oa":true,"landing_page_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/60810","pdf_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/download/60810/23403","source":{"id":"https://openalex.org/S4210222457","display_name":"Jurnal Insypro (Information System and Processing)","issn_l":"2579-468X","issn":["2579-468X","2597-419X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2597-419X","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/download/60810/23403","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041733041","display_name":"Ariastuti Rahman","orcid":"https://orcid.org/0009-0007-3088-3384","observed_orcids":["https://orcid.org/0009-0007-3088-3384"]},"institutions":[{"id":"https://openalex.org/I4210149329","display_name":"Al Asyariah Mandar University","ror":"https://ror.org/04ka27d61","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210149329"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rahman, Ariastuti","raw_affiliation_strings":["Sistem Informasi, Universitas Al Asyariah Mandar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sistem Informasi, Universitas Al Asyariah Mandar","institution_ids":["https://openalex.org/I4210149329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5156785341","display_name":"Akhmad Qashlim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210149329","display_name":"Al Asyariah Mandar University","ror":"https://ror.org/04ka27d61","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210149329"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Qashlim, Akhmad","raw_affiliation_strings":["Sistem Informasi, Universitas Al Asyariah Mandar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sistem Informasi, Universitas Al Asyariah Mandar","institution_ids":["https://openalex.org/I4210149329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5156799886","display_name":"Nurmarifah","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210149329","display_name":"Al Asyariah Mandar University","ror":"https://ror.org/04ka27d61","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210149329"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nurmarifah","raw_affiliation_strings":["Sistem Informasi, Universitas Al Asyariah Mandar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sistem Informasi, Universitas Al Asyariah Mandar","institution_ids":["https://openalex.org/I4210149329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210149329"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9843999743461609,"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":0.9843999743461609,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.014700000174343586,"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"}},{"id":"https://openalex.org/T14495","display_name":"Public Health and Nutrition","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stunting","display_name":"stunting","score":0.8140000104904175},{"id":"https://openalex.org/keywords/nutritional-assessment","display_name":"nutritional assessment","score":0.6809999942779541},{"id":"https://openalex.org/keywords/children-under-five","display_name":"children under five","score":0.8069999814033508},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.9049999713897705},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8349999785423279},{"id":"https://openalex.org/keywords/anthropometric-indicators","display_name":"anthropometric indicators","score":0.972000002861023},{"id":"https://openalex.org/keywords/data-mining-classification","display_name":"data mining classification","score":0.6470000147819519},{"id":"https://openalex.org/keywords/polewali-mandar-regency","display_name":"Polewali Mandar Regency","score":0.8399999737739563}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7796000242233276},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5710999965667725},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4781000018119812},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.45879998803138733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39100000262260437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.373199999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2971000075340271},{"id":"https://openalex.org/C2778242525","wikidata":"https://www.wikidata.org/wiki/Q1340307","display_name":"Toddler","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C61427482","wikidata":"https://www.wikidata.org/wiki/Q6656244","display_name":"Anthropometry","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:journal.uin-alauddin.ac.id:article/60810","doi":null,"is_oa":true,"landing_page_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/60810","pdf_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/download/60810/23403","source":{"id":"https://openalex.org/S4210222457","display_name":"Jurnal Insypro (Information System and Processing)","issn_l":"2579-468X","issn":["2579-468X","2597-419X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2597-419X","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:journal.uin-alauddin.ac.id:article/60810","doi":null,"is_oa":true,"landing_page_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/60810","pdf_url":"https://journal.uin-alauddin.ac.id/index.php/insypro/article/download/60810/23403","source":{"id":"https://openalex.org/S4210222457","display_name":"Jurnal Insypro (Information System and Processing)","issn_l":"2579-468X","issn":["2579-468X","2597-419X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2597-419X","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9391000270843506},{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.8409000039100647}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7219356201.pdf","grobid_xml":"https://content.openalex.org/works/W7219356201.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W3033313526","https://openalex.org/W3108310230","https://openalex.org/W3120232661","https://openalex.org/W3148936484","https://openalex.org/W3153505674","https://openalex.org/W3158898477","https://openalex.org/W3172724059","https://openalex.org/W3217026315","https://openalex.org/W4205290286","https://openalex.org/W4210494925","https://openalex.org/W4298149416","https://openalex.org/W4312770728","https://openalex.org/W4315563934"],"related_works":["https://openalex.org/W7166574988","https://openalex.org/W4402100997","https://openalex.org/W4393202909","https://openalex.org/W3033316526","https://openalex.org/W7223257452","https://openalex.org/W7163919706","https://openalex.org/W4280547671","https://openalex.org/W7163203857","https://openalex.org/W3091322497","https://openalex.org/W7216905361"],"abstract_inverted_index":{"Stunting":[0],"is":[1,39,67],"a":[2,48,126,133,147,154,168,175],"condition":[3],"where":[4],"children":[5],"under":[6],"five":[7],"years":[8],"of":[9,30,60,81,105,112,120,128,135,149,156,170,177],"age":[10],"suffer":[11],"from":[12],"long-term":[13],"nutritional":[14,28,58,79],"deficiencies":[15],"and":[16,19,24,64,91,197],"cause":[17],"growth":[18],"development":[20],"disorders,":[21],"increasing":[22],"morbidity":[23],"mortality.":[25],"Handling":[26],"the":[27,57,78,88,106,110,113,117,121,139,142,160,163,181,189,202],"status":[29,59,80],"stunting":[31,43,82],"in":[32,35,45,55],"Indonesia,":[33],"especially":[34],"Polewali":[36],"Mandar":[37],"Regency,":[38],"important":[40],"considering":[41],"that":[42,109,188],"cases":[44],"toddlers":[46],"are":[47,98],"serious":[49],"problem.":[50],"To":[51],"assist":[52],"health":[53],"workers":[54],"determining":[56],"stunting,":[61],"an":[62,73],"appropriate":[63],"effective":[65],"method":[66],"needed.":[68],"This":[69],"study":[70,107],"will":[71],"provide":[72],"alternative":[74],"way":[75],"to":[76,201],"determine":[77],"using":[83,138,159],"Data":[84],"mining":[85],"techniques,":[86],"namely":[87],"Naive":[89,122,143,164,190],"Bayes":[90,123,144,165,191],"K-Means":[92,203],"methods":[93,115],"with":[94],"anthropometric":[95],"indicators.":[96],"There":[97],"173":[99],"toddler":[100],"data":[101],"processed.":[102],"The":[103],"results":[104],"show":[108],"combination":[111],"two":[114],"for":[116],"accuracy":[118],"value":[119,127,134,148,155,169,176],"algorithm":[124,145,166,192],"has":[125,132,146,153,167,174,193],"89%":[129],"while":[130,151,172],"K-Mens":[131,152,173],"54%.":[136],"By":[137,158],"precision":[140,196],"parameter,":[141,162],"84%":[150],"58%.":[157],"recall":[161,198],"97%":[171],"60%.":[178],"Based":[179],"on":[180],"values":[182],"obtained,":[183],"it":[184],"can":[185],"be":[186],"concluded":[187],"higher":[194],"accuracy,":[195],"when":[199],"compared":[200],"algorithm..":[204]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-04T00:00:00"}
