{"id":"https://openalex.org/W4400570699","doi":"https://doi.org/10.33365/jtk.v17i1.2061","title":"Analisis Sentimen Terhadap Program Kampus Merdeka Menggunakan Algoritma Naive Bayes Classifier Di Twitter","display_name":"Analisis Sentimen Terhadap Program Kampus Merdeka Menggunakan Algoritma Naive Bayes Classifier Di Twitter","publication_year":2023,"publication_date":"2023-02-14","ids":{"openalex":"https://openalex.org/W4400570699","doi":"https://doi.org/10.33365/jtk.v17i1.2061"},"language":"en","primary_location":{"id":"doi:10.33365/jtk.v17i1.2061","doi":"https://doi.org/10.33365/jtk.v17i1.2061","is_oa":true,"landing_page_url":"http://dx.doi.org/10.33365/jtk.v17i1.2061","pdf_url":null,"source":{"id":"https://openalex.org/S4210174425","display_name":"Jurnal Tekno Kompak","issn_l":"1412-9663","issn":["1412-9663","2656-3525"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210086585","host_organization_name":"Universitas Teknokrat Indonesia","host_organization_lineage":["https://openalex.org/I4210086585"],"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":"Jurnal Tekno Kompak","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.33365/jtk.v17i1.2061","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103321889","display_name":"Elisa Febriyani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210101417","display_name":"Universitas Stikubank","ror":"https://ror.org/01zq89n20","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210101417"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Elisa Febriyani","raw_affiliation_strings":["Universitas Stikubank"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Stikubank","institution_ids":["https://openalex.org/I4210101417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082053705","display_name":"Herny Februariyanti","orcid":"https://orcid.org/0000-0002-1031-1238","observed_orcids":["https://orcid.org/0000-0002-1031-1238"]},"institutions":[{"id":"https://openalex.org/I4210101417","display_name":"Universitas Stikubank","ror":"https://ror.org/01zq89n20","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210101417"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Herny Februariyanti","raw_affiliation_strings":["Universitas Stikubank"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Stikubank","institution_ids":["https://openalex.org/I4210101417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210101417"],"apc_list":{"value":300000,"currency":"IDR","value_usd":19},"apc_paid":{"value":300000,"currency":"IDR","value_usd":19},"fwci":1.6336,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85541587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":99},"biblio":{"volume":"17","issue":"1","first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":0.0,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":0.7049999833106995},{"id":"https://openalex.org/keywords/kampus-merdeka","display_name":"Kampus Merdeka","score":0.7839999794960022},{"id":"https://openalex.org/keywords/mbkm","display_name":"MBKM","score":0.6019999980926514},{"id":"https://openalex.org/keywords/higher-education-policy","display_name":"higher education policy","score":0.8299999833106995},{"id":"https://openalex.org/keywords/public-opinion","display_name":"public opinion","score":0.675000011920929},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.9279999732971191},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8510000109672546},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.5669999718666077},{"id":"https://openalex.org/keywords/tf-idf","display_name":"TF-IDF","score":0.7710000276565552},{"id":"https://openalex.org/keywords/word-clouds","display_name":"word clouds","score":0.5339999794960022}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8208421468734741},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6045776605606079},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.584060788154602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5821799635887146},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5215325355529785},{"id":"https://openalex.org/C521751864","wikidata":"https://www.wikidata.org/wiki/Q1729207","display_name":"Christian ministry","level":2,"score":0.5166054368019104},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5160807967185974},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4623483419418335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46165382862091064},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33860042691230774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33191990852355957},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3163715600967407},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08640685677528381},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.33365/jtk.v17i1.2061","doi":"https://doi.org/10.33365/jtk.v17i1.2061","is_oa":true,"landing_page_url":"http://dx.doi.org/10.33365/jtk.v17i1.2061","pdf_url":null,"source":{"id":"https://openalex.org/S4210174425","display_name":"Jurnal Tekno Kompak","issn_l":"1412-9663","issn":["1412-9663","2656-3525"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210086585","host_organization_name":"Universitas Teknokrat Indonesia","host_organization_lineage":["https://openalex.org/I4210086585"],"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":"Jurnal Tekno Kompak","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.33365/jtk.v17i1.2061","doi":"https://doi.org/10.33365/jtk.v17i1.2061","is_oa":true,"landing_page_url":"http://dx.doi.org/10.33365/jtk.v17i1.2061","pdf_url":null,"source":{"id":"https://openalex.org/S4210174425","display_name":"Jurnal Tekno Kompak","issn_l":"1412-9663","issn":["1412-9663","2656-3525"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210086585","host_organization_name":"Universitas Teknokrat Indonesia","host_organization_lineage":["https://openalex.org/I4210086585"],"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":"Jurnal Tekno Kompak","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6164000034332275,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2786543545","https://openalex.org/W2809761621","https://openalex.org/W2900755337","https://openalex.org/W2941343883","https://openalex.org/W2954287730","https://openalex.org/W2981284759","https://openalex.org/W3120604219","https://openalex.org/W3124222676","https://openalex.org/W3195770816"],"related_works":["https://openalex.org/W4412409195","https://openalex.org/W4390951763","https://openalex.org/W4392525114","https://openalex.org/W7148322785","https://openalex.org/W4410468749","https://openalex.org/W4390515096","https://openalex.org/W4312813301","https://openalex.org/W3158821090","https://openalex.org/W4387194326","https://openalex.org/W4387735266"],"abstract_inverted_index":{"The":[0,224,264,281],"independent":[1,5,106,138,168],"campus":[2,7,107,139,169],"program":[3,76,108,140,165,265],"or":[4,94,100],"learning":[6],"independence":[8],"(MBKM)":[9],"is":[10,34,77,103,234,252,266,290],"a":[11,66,97,291],"new":[12,67],"policy":[13,33,99],"launched":[14],"in":[15,38,56,69,149,180,212,229,237,268,287],"January":[16],"2019":[17],"by":[18,209,279,333],"the":[19,28,35,40,47,50,58,70,111,116,131,137,145,150,153,161,167,174,218,227,230,269,274,284,295,322,325,327,334],"ministry":[20],"of":[21,27,30,42,49,60,72,115,133,147,155,160,166,192,202,226,283,324,351],"education,":[22,74],"culture,":[23],"research,":[24,326],"and":[25,63,113,152,164,186,190,214,247,308,318,342,357],"technology":[26],"republic":[29],"Indonesia.":[31],"This":[32,105,126],"government's":[36],"strategy":[37],"improving":[39],"quality":[41],"students":[43],"to":[44,46,91,129,143,198,259],"respond":[45],"needs":[48],"times":[51],"along":[52],"with":[53,183,294,347],"significant":[54],"changes":[55],"technology,":[57],"world":[59,71],"work,":[61],"social":[62,82,88,121],"culture.":[64],"As":[65],"breakthrough":[68],"higher":[73],"this":[75,288],"very":[78],"much":[79],"discussed":[80],"on":[81,96,119,136,141,273,301,311,321],"media.":[83],"Currently,":[84],"many":[85],"people":[86],"use":[87],"media":[89,122],"Twitter":[90,120],"provide":[92],"feedback":[93],"opinions":[95,346],"government":[98],"trend":[101],"that":[102,256,329],"developing.":[104],"has":[109],"reaped":[110],"pros":[112],"cons":[114],"community,":[117],"especially":[118],"since":[123],"its":[124],"inception.":[125],"study":[127,289],"aims":[128],"analyze":[130],"sentiment":[132,156,339,345],"public":[134],"opinion":[135],"twitter":[142,193],"determine":[144],"level":[146],"accuracy":[148,262,350],"method":[151],"proportion":[154],"as":[157],"an":[158,348],"evaluation":[159],"algorithm,":[162],"performance":[163],"itself.":[170],"Data":[171],"collection":[172],"using":[173,217],"vicinitas.io":[175],"website":[176],"was":[177,206],"carried":[178,207,235],"out":[179,208,236],"real":[181],"time":[182],"#kampus":[184],"merdeka":[185],"#mbkm":[187],"from":[188],"tweets":[189],"retweets":[191],"users":[194],"during":[195],"November":[196],"2021":[197],"March":[199],"2022.":[200],"Analysis":[201],"501":[203],"tweet":[204],"data":[205],"classifying":[210],"text":[211,241],"negative":[213,312,344],"positive":[215,302,338],"forms":[216],"naive":[219],"bayes":[220],"classifier":[221],"algorithm.":[222],".":[223],"implementation":[225],"classification":[228,245,328,340],"Naive":[231],"Bayes":[232],"algorithm":[233],"several":[238],"stages,":[239],"namely":[240,304,314],"preprocessing,":[242],"TF-IDF":[243],"calculations,":[244,246],"K-fold":[248,251],"cross":[249],"validation.":[250],"used":[253,258],"for":[254],"applications":[255],"are":[257],"get":[260],"maximum":[261],"results.":[263],"made":[267],"python":[270],"programming":[271],"language":[272],"google":[275],"colab":[276],"tools":[277],"provided":[278],"google.":[280],"visualization":[282],"results":[285,299,323,341],"displayed":[286],"word":[292,298],"cloud":[293],"most":[296],"dominant":[297],"appearing":[300],"sentiments,":[303,313],"campus,":[305,315],"merdeka,":[306],"mbkm,":[307],"programs,":[309],"while":[310],"money,":[316],"pocket,":[317],"conversion.":[319],"Based":[320],"can":[330],"be":[331],"done":[332],"system":[335],"gets":[336],"272":[337],"229":[343],"average":[349],"60%,":[352],"precision":[353],"64%,":[354],"recall":[355],"58%":[356],"f1-score":[358],"58%.":[359]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-07-12T00:00:00"}
