{"id":"https://openalex.org/W4286276308","doi":"https://doi.org/10.31294/jki.v10i1.12624","title":"ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP PERPANJANGAN PPKM MENGGUNAKAN METODE K-NEAREST NEIGHBOR","display_name":"ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP PERPANJANGAN PPKM MENGGUNAKAN METODE K-NEAREST NEIGHBOR","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4286276308","doi":"https://doi.org/10.31294/jki.v10i1.12624"},"language":"id","primary_location":{"id":"doi:10.31294/jki.v10i1.12624","doi":"https://doi.org/10.31294/jki.v10i1.12624","is_oa":true,"landing_page_url":"https://doi.org/10.31294/jki.v10i1.12624","pdf_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/12624/5472","source":{"id":"https://openalex.org/S4210176267","display_name":"Jurnal Khatulistiwa Informatika","issn_l":"2339-1928","issn":["2339-1928","2579-633X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405253754","host_organization_name":"Universitas Bina Sarana Informatika","host_organization_lineage":["https://openalex.org/I4405253754"],"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 Khatulistiwa Informatika","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/12624/5472","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076506046","display_name":"Arief Asro'i","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arief Asro'i","raw_affiliation_strings":["Unisbank Semarang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unisbank Semarang","institution_ids":[]}]},{"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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herny Februariyanti","raw_affiliation_strings":["Unisbank Semarang"],"raw_orcid":"https://orcid.org/0000-0002-1031-1238","affiliations":[{"raw_affiliation_string":"Unisbank Semarang","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9224,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.74127523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":98},"biblio":{"volume":"10","issue":"1","first_page":"17","last_page":"24"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","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":0.902999997138977},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.9229999780654907},{"id":"https://openalex.org/keywords/covid-19-lockdown-policy","display_name":"COVID-19 lockdown policy","score":0.8100000023841858},{"id":"https://openalex.org/keywords/public-opinion","display_name":"public opinion","score":0.7770000100135803},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.7670000195503235},{"id":"https://openalex.org/keywords/social-media-discourse","display_name":"social media discourse","score":0.5109999775886536}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.5415222644805908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5247043371200562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425531804561615},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07869455218315125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31294/jki.v10i1.12624","doi":"https://doi.org/10.31294/jki.v10i1.12624","is_oa":true,"landing_page_url":"https://doi.org/10.31294/jki.v10i1.12624","pdf_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/12624/5472","source":{"id":"https://openalex.org/S4210176267","display_name":"Jurnal Khatulistiwa Informatika","issn_l":"2339-1928","issn":["2339-1928","2579-633X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405253754","host_organization_name":"Universitas Bina Sarana Informatika","host_organization_lineage":["https://openalex.org/I4405253754"],"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 Khatulistiwa Informatika","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31294/jki.v10i1.12624","doi":"https://doi.org/10.31294/jki.v10i1.12624","is_oa":true,"landing_page_url":"https://doi.org/10.31294/jki.v10i1.12624","pdf_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/12624/5472","source":{"id":"https://openalex.org/S4210176267","display_name":"Jurnal Khatulistiwa Informatika","issn_l":"2339-1928","issn":["2339-1928","2579-633X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405253754","host_organization_name":"Universitas Bina Sarana Informatika","host_organization_lineage":["https://openalex.org/I4405253754"],"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 Khatulistiwa Informatika","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286276308.pdf","grobid_xml":"https://content.openalex.org/works/W4286276308.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2939274739","https://openalex.org/W3015707301","https://openalex.org/W3033104085","https://openalex.org/W3048710687","https://openalex.org/W3124222676","https://openalex.org/W3214470925","https://openalex.org/W3214550047"],"related_works":["https://openalex.org/W7057250978","https://openalex.org/W7220772519","https://openalex.org/W3214470925","https://openalex.org/W4214533796","https://openalex.org/W4383001287","https://openalex.org/W7001494094","https://openalex.org/W3216778909","https://openalex.org/W4320070431","https://openalex.org/W3175511844","https://openalex.org/W4214518931"],"abstract_inverted_index":{"Banyaknya":[0],"berita":[1],"buruk":[2],"yang":[3,11,26,44,88,123],"beredar":[4],"dalam":[5,50],"sosial":[6,72],"media":[7,73],"mengenai":[8,24],"kebijakan":[9],"PPKM":[10,25,43],"terus-meneurus":[12],"diperpanjang":[13,28],"menggugah":[14],"rasa":[15],"penasaran":[16],"peneliti":[17,35],"untuk":[18,98],"memastikan":[19],"apakah":[20],"benar":[21],"tanggapan":[22],"masyarakat":[23],"terus-menerus":[27],"memanglah":[29],"menuai":[30],"kesan":[31],"negatif.":[32],"Dengan":[33,75],"demikian,":[34],"melakukan":[36],"analisis":[37],"sentimen":[38,83,100],"pengguna":[39,101],"twitter":[40,61,102],"terhadap":[41],"perpanjangan":[42],"dapat":[45,81],"digunakan":[46,54],"sebagai":[47,55],"bahan":[48],"evaluasi":[49],"menentukan":[51,99],"kebijakan.":[52],"Twitter":[53],"sumber":[56],"data":[57,117],"karena":[58,68],"baru-baru":[59],"ini":[60],"sedang":[62],"naik":[63],"daun":[64],"setelah":[65],"bertahun-tahun":[66],"pasif":[67],"kalah":[69],"bersaing":[70],"dengan":[71,91,103,119],"lain.":[74],"memanfaatkan":[76],"teknologi":[77],"machine":[78],"learning":[79],"kita":[80],"mengetahui":[82],"seseorang":[84],"berdasarkan":[85],"ilmu":[86],"statistik":[87],"telah":[89],"dikombinasikan":[90],"programming.":[92],"Peneliti":[93],"menggunakan":[94],"algoritma":[95],"K-Nearest":[96],"Neighbor":[97],"bantuan":[104],"library":[105],"Scikit-learnyang":[106],"populer":[107],"di":[108],"kalangan":[109],"Data":[110],"Scientist.":[111],"Algoritma":[112],"tersebut":[113],"diterapkan":[114],"ke":[115],"6408":[116],"tweet":[118],"kata":[120],"kunci":[121],"\u201cPPKM\u201d":[122],"dikumpulkan":[124],"pada":[125],"1":[126],"Juli":[127],"2021":[128],"\u2013":[129],"31":[130],"Desember":[131],"2021.":[132],"Hasil":[133],"training":[134],"model":[135],"membuktikan":[136],"bahwa":[137],"skor":[138],"akurasi":[139],"69,5%,":[140],"recall":[141],"69,5%":[142],",":[143],"dan":[144],"presisi":[145],"68,7%.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-07-21T00:00:00"}