{"id":"https://openalex.org/W3208128232","doi":"https://doi.org/10.29207/resti.v5i5.3403","title":"Perbandingan Metode TF-ABS dan TF-IDF Pada Klasifikasi Teks Helpdesk Menggunakan K-Nearest Neighbor","display_name":"Perbandingan Metode TF-ABS dan TF-IDF Pada Klasifikasi Teks Helpdesk Menggunakan K-Nearest Neighbor","publication_year":2021,"publication_date":"2021-10-24","ids":{"openalex":"https://openalex.org/W3208128232","doi":"https://doi.org/10.29207/resti.v5i5.3403","mag":"3208128232"},"language":"en","primary_location":{"id":"doi:10.29207/resti.v5i5.3403","doi":"https://doi.org/10.29207/resti.v5i5.3403","is_oa":true,"landing_page_url":"https://doi.org/10.29207/resti.v5i5.3403","pdf_url":"http://jurnal.iaii.or.id/index.php/RESTI/article/download/3403/489","source":{"id":"https://openalex.org/S4210183703","display_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","issn_l":"2580-0760","issn":["2580-0760"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315237","host_organization_name":"Ikatan Ahli Indormatika Indonesia","host_organization_lineage":["https://openalex.org/P4310315237"],"host_organization_lineage_names":["Ikatan Ahli Indormatika Indonesia"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://jurnal.iaii.or.id/index.php/RESTI/article/download/3403/489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042592051","display_name":"Riza Adrianti Supono","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210087516","display_name":"Gunadarma University","ror":"https://ror.org/0028q1g19","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210087516"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riza Adrianti Supono","raw_affiliation_strings":["Gunadarma University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gunadarma University","institution_ids":["https://openalex.org/I4210087516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064327602","display_name":"Muhammad Azis Suprayogi","orcid":"https://orcid.org/0000-0002-9860-4608","observed_orcids":["https://orcid.org/0000-0002-9860-4608","https://orcid.org/0009-0001-0845-933X"]},"institutions":[{"id":"https://openalex.org/I4210087516","display_name":"Gunadarma University","ror":"https://ror.org/0028q1g19","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210087516"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Azis Suprayogi","raw_affiliation_strings":["Gunadarma University"],"raw_orcid":"https://orcid.org/0000-0002-9860-4608","affiliations":[{"raw_affiliation_string":"Gunadarma University","institution_ids":["https://openalex.org/I4210087516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210087516"],"apc_list":{"value":1500000,"currency":"IDR","value_usd":150},"apc_paid":{"value":1500000,"currency":"IDR","value_usd":150},"fwci":0.8032,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.73421951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"5","issue":"5","first_page":"911","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11550","display_name":"Text and Document Classification Technologies","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":0.00019999999494757503,"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/T13083","display_name":"Advanced Text Analysis Techniques","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/ticket-distribution","display_name":"ticket distribution","score":0.6779999732971191},{"id":"https://openalex.org/keywords/tf-idf-weighting","display_name":"TF-IDF weighting","score":0.9819999933242798},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.843999981880188},{"id":"https://openalex.org/keywords/feature-reduction","display_name":"feature reduction","score":0.7289999723434448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4206990599632263}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.29207/resti.v5i5.3403","doi":"https://doi.org/10.29207/resti.v5i5.3403","is_oa":true,"landing_page_url":"https://doi.org/10.29207/resti.v5i5.3403","pdf_url":"http://jurnal.iaii.or.id/index.php/RESTI/article/download/3403/489","source":{"id":"https://openalex.org/S4210183703","display_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","issn_l":"2580-0760","issn":["2580-0760"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315237","host_organization_name":"Ikatan Ahli Indormatika Indonesia","host_organization_lineage":["https://openalex.org/P4310315237"],"host_organization_lineage_names":["Ikatan Ahli Indormatika Indonesia"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6c203faf34ea4306ad7fdbb0a8c24513","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/6c203faf34ea4306ad7fdbb0a8c24513","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 5, Iss 5 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.29207/resti.v5i5.3403","doi":"https://doi.org/10.29207/resti.v5i5.3403","is_oa":true,"landing_page_url":"https://doi.org/10.29207/resti.v5i5.3403","pdf_url":"http://jurnal.iaii.or.id/index.php/RESTI/article/download/3403/489","source":{"id":"https://openalex.org/S4210183703","display_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","issn_l":"2580-0760","issn":["2580-0760"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315237","host_organization_name":"Ikatan Ahli Indormatika Indonesia","host_organization_lineage":["https://openalex.org/P4310315237"],"host_organization_lineage_names":["Ikatan Ahli Indormatika Indonesia"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208128232.pdf","grobid_xml":"https://content.openalex.org/works/W3208128232.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2140190241","https://openalex.org/W2140321362","https://openalex.org/W2558405088","https://openalex.org/W2787178215","https://openalex.org/W2806546409","https://openalex.org/W2901596078","https://openalex.org/W2909894147","https://openalex.org/W2911570944","https://openalex.org/W2969923970","https://openalex.org/W3041092157","https://openalex.org/W4245471118","https://openalex.org/W4245671699","https://openalex.org/W4246117833","https://openalex.org/W4289236186"],"related_works":["https://openalex.org/W3216489740","https://openalex.org/W4386237882","https://openalex.org/W2126684607","https://openalex.org/W1995258314","https://openalex.org/W4401118049","https://openalex.org/W4254650055","https://openalex.org/W3118783795","https://openalex.org/W4390729227","https://openalex.org/W2089367672","https://openalex.org/W2030848013"],"abstract_inverted_index":{"Distribution":[0],"of":[1,19,42,72,80,83,86,175],"tickets":[2,21,43,54],"to":[3,51,55,68,136],"the":[4,13,17,40,56,70,77,84,89,95,152,162,171],"destination":[5,58],"unit":[6],"is":[7,44,166],"a":[8,61,147],"very":[9],"important":[10,50],"function":[11],"in":[12,60],"helpdesk":[14,73,139],"application,":[15],"but":[16],"process":[18],"distributing":[20],"manually":[22],"by":[23,105],"admin":[24],"officers":[25],"has":[26],"drawbacks,":[27],"namely":[28,124],"ticket":[29,36],"distribution":[30],"errors":[31],"can":[32],"occur":[33],"and":[34,97,115,134,155,179],"increase":[35],"completion":[37],"time":[38],"if":[39],"number":[41],"large.":[45],"Helpdesk":[46],"text":[47,74],"classification":[48,75],"becomes":[49],"automatically":[52],"distribute":[53],"appropriate":[57],"units":[59],"short":[62],"time.":[63],"This":[64],"study":[65],"was":[66,103],"conducted":[67,104],"compare":[69],"performance":[71],"at":[76,177],"Directorate":[78],"General":[79],"State":[81],"Assets":[82],"Ministry":[85],"Finance":[87],"using":[88,118],"K-Nearest":[90],"Neighbor":[91],"(KNN)":[92],"method":[93,165],"with":[94,120,170],"TF-ABS":[96,163],"TF-IDF":[98,169],"weighting":[99,164],"methods.":[100],"The":[101,144,157],"research":[102],"collecting":[106],"complaint":[107],"documents,":[108],"preprocessing,":[109],"word":[110],"weighting,":[111],"feature":[112],"reduction,":[113],"classification,":[114],"testing.":[116],"Classification":[117],"KNN":[119],"parameters":[121],"n_neighbor":[122],"(k)":[123],"k=1,":[125],"k=3,":[126],"k=5,":[127],"k=7,":[128],"k=9,":[129],"k=11,":[130],"k=13,":[131],"k=15,":[132],"k=17,":[133],"k=19":[135],"classify":[137],"10,537":[138],"texts":[140],"into":[141],"8":[142],"categories.":[143],"test":[145,158],"uses":[146],"confusion":[148],"matrix":[149],"based":[150],"on":[151],"accuracy":[153,173],"value":[154,174],"score-f1.":[156],"results":[159],"show":[160],"that":[161],"better":[167],"than":[168],"highest":[172],"90.04%":[176],"15%":[178],"k=3.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-11-08T00:00:00"}
