{"id":"https://openalex.org/W4415564708","doi":"https://doi.org/10.56347/jics.v4i2.334","title":"Customer Review Sentiment Analysis of Alisa Batik Solo E-Commerce on TikTok Using Naive Bayes Algorithm","display_name":"Customer Review Sentiment Analysis of Alisa Batik Solo E-Commerce on TikTok Using Naive Bayes Algorithm","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4415564708","doi":"https://doi.org/10.56347/jics.v4i2.334"},"language":"en","primary_location":{"id":"doi:10.56347/jics.v4i2.334","doi":"https://doi.org/10.56347/jics.v4i2.334","is_oa":true,"landing_page_url":"https://doi.org/10.56347/jics.v4i2.334","pdf_url":"https://journal.kawanad.com/index.php/jics/article/download/334/264","source":{"id":"https://openalex.org/S4387283372","display_name":"Journal Innovations Computer Science","issn_l":"2961-970X","issn":["2961-970X","2961-9718"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal Innovations Computer Science","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://journal.kawanad.com/index.php/jics/article/download/334/264","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116645288","display_name":"Delia Maharani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405285303","display_name":"Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika","ror":"https://ror.org/055yck315","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405285303"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Delia Maharani","raw_affiliation_strings":["Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika","institution_ids":["https://openalex.org/I4405285303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135118111","display_name":"Mesra Betty Yel","orcid":"https://orcid.org/0009-0002-8336-5058","observed_orcids":["https://orcid.org/0009-0002-8336-5058"]},"institutions":[{"id":"https://openalex.org/I4405285303","display_name":"Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika","ror":"https://ror.org/055yck315","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405285303"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mesra Betty Yell","raw_affiliation_strings":["Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika","institution_ids":["https://openalex.org/I4405285303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405285303"],"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":"4","issue":"2","first_page":"298","last_page":"310"},"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/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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":0.8220000267028809},{"id":"https://openalex.org/keywords/customer-reviews","display_name":"customer reviews","score":0.925000011920929},{"id":"https://openalex.org/keywords/tiktok","display_name":"TikTok","score":0.6539999842643738},{"id":"https://openalex.org/keywords/e-commerce","display_name":"e-commerce","score":0.8019999861717224},{"id":"https://openalex.org/keywords/batik","display_name":"batik","score":0.6660000085830688},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.7369999885559082},{"id":"https://openalex.org/keywords/tf-idf","display_name":"TF-IDF","score":0.9850000143051147},{"id":"https://openalex.org/keywords/social-media-marketing","display_name":"social media marketing","score":0.6629999876022339},{"id":"https://openalex.org/keywords/customer-satisfaction","display_name":"customer satisfaction","score":0.8069999814033508}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7542999982833862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6669999957084656},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5942000150680542},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5641999840736389},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49459999799728394},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.40290001034736633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3930000066757202},{"id":"https://openalex.org/C2779207338","wikidata":"https://www.wikidata.org/wiki/Q9240","display_name":"Indonesian","level":2,"score":0.3882000148296356},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.3452000021934509},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2989000082015991},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C2984334869","wikidata":"https://www.wikidata.org/wiki/Q1060653","display_name":"Customer service","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C99087107","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' rule","level":5,"score":0.2522999942302704},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56347/jics.v4i2.334","doi":"https://doi.org/10.56347/jics.v4i2.334","is_oa":true,"landing_page_url":"https://doi.org/10.56347/jics.v4i2.334","pdf_url":"https://journal.kawanad.com/index.php/jics/article/download/334/264","source":{"id":"https://openalex.org/S4387283372","display_name":"Journal Innovations Computer Science","issn_l":"2961-970X","issn":["2961-970X","2961-9718"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal Innovations Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.56347/jics.v4i2.334","doi":"https://doi.org/10.56347/jics.v4i2.334","is_oa":true,"landing_page_url":"https://doi.org/10.56347/jics.v4i2.334","pdf_url":"https://journal.kawanad.com/index.php/jics/article/download/334/264","source":{"id":"https://openalex.org/S4387283372","display_name":"Journal Innovations Computer Science","issn_l":"2961-970X","issn":["2961-970X","2961-9718"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal Innovations Computer Science","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/W4415564708.pdf","grobid_xml":"https://content.openalex.org/works/W4415564708.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7220045667","https://openalex.org/W4390650900","https://openalex.org/W4412458092","https://openalex.org/W4402096584","https://openalex.org/W4409835794","https://openalex.org/W4366201419","https://openalex.org/W4415682750","https://openalex.org/W4395469660","https://openalex.org/W4407571572","https://openalex.org/W4392732256"],"abstract_inverted_index":{"This":[0,134],"study":[1],"analyzes":[2],"customer":[3,20,65,121],"sentiment":[4,152],"toward":[5],"Alisa":[6,126],"Batik":[7,127],"Solo\u2019s":[8,128],"TikTok":[9],"e-commerce":[10,162],"using":[11,32,51],"the":[12,62,91,106,138],"Na\u00efve":[13,58,141],"Bayes":[14,59,142],"algorithm.":[15],"A":[16],"total":[17],"of":[18,64,73,76,82,87,105,120,140],"626":[19],"comments":[21,107],"were":[22,48],"collected":[23],"through":[24],"manual":[25],"data":[26,47],"crawling,":[27],"cleaned,":[28],"labeled,":[29],"and":[30,43,55,84,123,130,154,168],"processed":[31,46],"text":[33],"preprocessing":[34,145],"techniques":[35],"including":[36],"cleaning,":[37],"case":[38],"folding,":[39],"tokenization,":[40],"stopword":[41],"removal,":[42],"stemming.":[44],"The":[45,67,100],"then":[49],"transformed":[50],"TF-IDF":[52,144],"feature":[53],"weighting":[54],"classified":[56],"with":[57,143],"to":[60,164],"determine":[61],"polarity":[63],"opinions.":[66],"evaluation":[68],"results":[69,148],"showed":[70],"an":[71,85],"accuracy":[72],"90.85%,":[74],"precision":[75],"98.29%":[77],"for":[78,161],"positive":[79,109],"sentiment,":[80,110],"recall":[81],"95.24%,":[83],"F1-score":[86],"96.72%,":[88],"indicating":[89],"that":[90,103,137],"model":[92],"performs":[93],"effectively":[94],"in":[95,125,149],"classifying":[96],"Indonesian":[97],"short-text":[98],"reviews.":[99],"findings":[101],"reveal":[102],"75.6%":[104],"expressed":[108],"while":[111],"24.4%":[112],"reflected":[113],"negative":[114],"opinions,":[115],"demonstrating":[116],"a":[117,158],"strong":[118],"level":[119],"satisfaction":[122],"trust":[124],"products":[129],"online":[131],"engagement":[132],"strategy.":[133],"research":[135],"confirms":[136],"integration":[139],"provides":[146],"reliable":[147],"social":[150],"media":[151],"analysis":[153],"can":[155],"serve":[156],"as":[157],"strategic":[159],"tool":[160],"businesses":[163],"enhance":[165],"marketing":[166],"decisions":[167],"service":[169],"quality":[170]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-10-28T00:00:00"}
