{"id":"https://openalex.org/W4405036670","doi":"https://doi.org/10.31949/jensitec.v11i01.12037","title":"STUDI KLASIFIKASI TOPIK BERITA DENGAN ALGORITMA MACHINE LEARNING","display_name":"STUDI KLASIFIKASI TOPIK BERITA DENGAN ALGORITMA MACHINE LEARNING","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405036670","doi":"https://doi.org/10.31949/jensitec.v11i01.12037"},"language":"en","primary_location":{"id":"doi:10.31949/jensitec.v11i01.12037","doi":"https://doi.org/10.31949/jensitec.v11i01.12037","is_oa":true,"landing_page_url":"https://doi.org/10.31949/jensitec.v11i01.12037","pdf_url":null,"source":{"id":"https://openalex.org/S4210227160","display_name":"J-ENSITEC","issn_l":"2407-6007","issn":["2407-6007","2477-359X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210095969","host_organization_name":"Universitas Majalengka","host_organization_lineage":["https://openalex.org/I4210095969"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"J-ENSITEC","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.31949/jensitec.v11i01.12037","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099518877","display_name":"Guruh Wijaya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Guruh Wijaya","raw_affiliation_strings":["Universitas Muhammadiyah Jember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Jember","institution_ids":["https://openalex.org/I4210108816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078859573","display_name":"Dudi Irawan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dudi Irawan","raw_affiliation_strings":["Universitas Muhammadiyah Jember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Jember","institution_ids":["https://openalex.org/I4210108816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052573322","display_name":"Zainul Arifin","orcid":"https://orcid.org/0000-0001-5115-1309","observed_orcids":["https://orcid.org/0000-0001-5115-1309"]},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Zainul Arifin","raw_affiliation_strings":["Universitas Muhammadiyah Jember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Jember","institution_ids":["https://openalex.org/I4210108816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069051396","display_name":"Hardian Oktavianto","orcid":"https://orcid.org/0000-0002-2446-7401","observed_orcids":["https://orcid.org/0000-0002-2446-7401"]},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hardian Oktavianto","raw_affiliation_strings":["Universitas Muhammadiyah Jember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Jember","institution_ids":["https://openalex.org/I4210108816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015844011","display_name":"Miftahur Rahman","orcid":"https://orcid.org/0000-0002-8000-0240","observed_orcids":["https://orcid.org/0000-0002-8000-0240"]},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Miftahur Rahman","raw_affiliation_strings":["Universitas Muhammadiyah Jember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Jember","institution_ids":["https://openalex.org/I4210108816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015501555","display_name":"Ginanjar Abdurrahman","orcid":"https://orcid.org/0000-0001-8249-6529","observed_orcids":["https://orcid.org/0000-0001-8249-6529"]},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ginanjar Abdurrahman","raw_affiliation_strings":["Universitas Muhammadiyah Jember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Jember","institution_ids":["https://openalex.org/I4210108816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210108816"],"apc_list":null,"apc_paid":null,"fwci":0.2963,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58304759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"11","issue":"01","first_page":"10202","last_page":"10206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00039999998989515007,"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/T13910","display_name":"Computational and Text Analysis Methods","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/news-topic-classification","display_name":"news topic classification","score":0.9850000143051147},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.9190000295639038},{"id":"https://openalex.org/keywords/news-articles","display_name":"news articles","score":0.42100000381469727},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.871999979019165},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9079999923706055},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9879999756813049},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.984000027179718},{"id":"https://openalex.org/keywords/text-mining","display_name":"text mining","score":0.8420000076293945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4634556472301483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38350149989128113}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31949/jensitec.v11i01.12037","doi":"https://doi.org/10.31949/jensitec.v11i01.12037","is_oa":true,"landing_page_url":"https://doi.org/10.31949/jensitec.v11i01.12037","pdf_url":null,"source":{"id":"https://openalex.org/S4210227160","display_name":"J-ENSITEC","issn_l":"2407-6007","issn":["2407-6007","2477-359X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210095969","host_organization_name":"Universitas Majalengka","host_organization_lineage":["https://openalex.org/I4210095969"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"J-ENSITEC","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31949/jensitec.v11i01.12037","doi":"https://doi.org/10.31949/jensitec.v11i01.12037","is_oa":true,"landing_page_url":"https://doi.org/10.31949/jensitec.v11i01.12037","pdf_url":null,"source":{"id":"https://openalex.org/S4210227160","display_name":"J-ENSITEC","issn_l":"2407-6007","issn":["2407-6007","2477-359X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210095969","host_organization_name":"Universitas Majalengka","host_organization_lineage":["https://openalex.org/I4210095969"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"J-ENSITEC","raw_type":"journal-article"},"sustainable_development_goals":[],"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/W2561699603","https://openalex.org/W2938106317","https://openalex.org/W4233705967","https://openalex.org/W2518806660","https://openalex.org/W4205798517","https://openalex.org/W4381163209","https://openalex.org/W4282976407","https://openalex.org/W4313534659","https://openalex.org/W3168609616","https://openalex.org/W3216017926"],"abstract_inverted_index":{"As":[0,153],"a":[1,82,154,161],"result":[2],"of":[3,8,20,31,36,45,55,71,125,143,189,199,206,212,220],"the":[4,18,32,43,123,144,223],"use":[5],"and":[6,22,92,121,137,181,214,239],"access":[7],"social":[9],"media,":[10],"it":[11],"also":[12],"has":[13,28,177],"an":[14,52,196,204,210,217],"impact":[15],"on":[16,119],"increasing":[17],"amount":[19],"data":[21,37,56],"information,":[23],"especially":[24],"text":[25,46,77,88,95,116,150,170],"data.":[26,186],"Text":[27,79,110],"become":[29],"one":[30,100,142],"most":[33,145],"natural":[34],"forms":[35],"that":[38,42,59,64,69,102,164],"is":[39,48,74,81,99,160,165],"stored,":[40],"so":[41],"field":[44,54],"mining":[47,80,96],"believed":[49],"to":[50,106,114,167],"be":[51,104],"advanced":[53],"mining.":[57],"Facts":[58],"emerge":[60],"from":[61,173],"research":[62,191],"studies":[63],"have":[65],"been":[66],"conducted":[67],"show":[68],"80%":[70],"company":[72],"information":[73,86,90],"presented":[75],"in":[76,149,156,169],"documents.":[78],"multidisciplinary":[83],"field,":[84],"involving":[85],"retrieval,":[87],"analysis,":[89],"extraction,":[91],"clustering.":[93],"The":[94,187],"classification":[97,111,162,179],"method":[98,155],"technique":[101],"can":[103],"used":[105],"carry":[107],"out":[108],"classification.":[109,152,171],"specifically":[112],"works":[113],"group":[115],"documents":[117],"based":[118],"categories,":[120],"within":[122],"scope":[124],"news":[126],"datasets,":[127],"categories":[128],"are":[129,141,227],"generally":[130],"divided":[131],"into":[132],"politics,":[133],"economics,":[134],"military,":[135],"sports":[136],"others.":[138],"Statistical":[139],"methods":[140,148],"frequently":[146],"applied":[147],"emotion":[151],"statistics,":[157],"Naive":[158],"Bayes":[159,176,194,229],"algorithm":[163],"easy":[166],"understand":[168],"Apart":[172],"that,":[174],"Na\u00efve":[175,193,228],"good":[178],"effects":[180],"performance":[182],"for":[183],"processing":[184],"large-scale":[185],"conclusion":[188],"this":[190],"is,":[192],"gets":[195,203,209,216],"accuracy":[197,205,211,218],"value":[198,219],"77.78%.":[200],"Random":[201,232],"Forest":[202,233],"70.1%.":[207],"KNN":[208,236],"24.88%":[213],"SVM":[215,240],"80.60%.":[221],"Meanwhile,":[222],"respective":[224],"running":[225],"times":[226],"0.046":[230],"seconds,":[231,235,238],"150":[234],"15":[237],"0.43":[241],"seconds.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2024-12-06T00:00:00"}
