{"id":"https://openalex.org/W4400867341","doi":"https://doi.org/10.34288/jri.v6i3.311","title":"Enhancing Ulos Batik Pattern Recognition through Machine Learning: A Study with KNN and SVM","display_name":"Enhancing Ulos Batik Pattern Recognition through Machine Learning: A Study with KNN and SVM","publication_year":2024,"publication_date":"2024-06-15","ids":{"openalex":"https://openalex.org/W4400867341","doi":"https://doi.org/10.34288/jri.v6i3.311"},"language":"en","primary_location":{"id":"doi:10.34288/jri.v6i3.311","doi":"https://doi.org/10.34288/jri.v6i3.311","is_oa":true,"landing_page_url":"https://doi.org/10.34288/jri.v6i3.311","pdf_url":null,"source":{"id":"https://openalex.org/S4210216188","display_name":"Jurnal Riset Informatika","issn_l":"2656-1735","issn":["2656-1735","2656-1743"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal Riset Informatika","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":"https://doi.org/10.34288/jri.v6i3.311","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012058593","display_name":"Nuke L Chusna","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210143643","display_name":"Universitas Krisnadwipayana","ror":"https://ror.org/03y211p39","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210143643"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nuke L. Chusna","raw_affiliation_strings":["Universitas Krisnadwipayana, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Krisnadwipayana, Indonesia","institution_ids":["https://openalex.org/I4210143643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081742181","display_name":"Ninuk Wiliani","orcid":"https://orcid.org/0000-0002-6645-9063","observed_orcids":["https://orcid.org/0000-0002-6645-9063"]},"institutions":[{"id":"https://openalex.org/I4405255541","display_name":"Universitas Siber Indonesia","ror":"https://ror.org/034baah44","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405255541"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ninuk Wiliani","raw_affiliation_strings":["Universitas Siber Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Siber Indonesia","institution_ids":["https://openalex.org/I4405255541"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108958285","display_name":"Achmad Feri Abdillah","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210143643","display_name":"Universitas Krisnadwipayana","ror":"https://ror.org/03y211p39","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210143643"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Achmad Feri Abdillah","raw_affiliation_strings":["Universitas Krisnadwipayana, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Krisnadwipayana, Indonesia","institution_ids":["https://openalex.org/I4210143643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":500000,"currency":"IDR","value_usd":32},"apc_paid":{"value":500000,"currency":"IDR","value_usd":32},"fwci":0.6397,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61695538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"6","issue":"3","first_page":"175","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9282000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9282000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0210999995470047,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.017899999395012856,"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/batik-motif-classification","display_name":"batik motif classification","score":0.7440000176429749},{"id":"https://openalex.org/keywords/gray-level-co-occurrence-matrix","display_name":"gray level co-occurrence matrix","score":0.8669999837875366},{"id":"https://openalex.org/keywords/texture-analysis","display_name":"texture analysis","score":0.9070000052452087},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.859000027179718},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9990000128746033},{"id":"https://openalex.org/keywords/automatic-image-classification","display_name":"automated image classification","score":0.6919999718666077},{"id":"https://openalex.org/keywords/cultural-heritage-preservation","display_name":"cultural heritage preservation","score":0.7390000224113464},{"id":"https://openalex.org/keywords/creative-industries","display_name":"creative industries","score":0.36399999260902405}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7951523065567017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7875515222549438},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.7487021684646606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.715259313583374},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7115708589553833},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6948697566986084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852937340736389},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.562850296497345},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.44710901379585266},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.4418879747390747},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22320091724395752},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20870700478553772},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.178484708070755},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.34288/jri.v6i3.311","doi":"https://doi.org/10.34288/jri.v6i3.311","is_oa":true,"landing_page_url":"https://doi.org/10.34288/jri.v6i3.311","pdf_url":null,"source":{"id":"https://openalex.org/S4210216188","display_name":"Jurnal Riset Informatika","issn_l":"2656-1735","issn":["2656-1735","2656-1743"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal Riset Informatika","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:742b4788e3c74def9e546b59d529c57c","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/742b4788e3c74def9e546b59d529c57c","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 Riset Informatika, Vol 6, Iss 3, Pp 175-184 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.34288/jri.v6i3.311","doi":"https://doi.org/10.34288/jri.v6i3.311","is_oa":true,"landing_page_url":"https://doi.org/10.34288/jri.v6i3.311","pdf_url":null,"source":{"id":"https://openalex.org/S4210216188","display_name":"Jurnal Riset Informatika","issn_l":"2656-1735","issn":["2656-1735","2656-1743"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal Riset Informatika","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W4247535486","https://openalex.org/W4310856543","https://openalex.org/W4317938178","https://openalex.org/W4318320854","https://openalex.org/W4361190519","https://openalex.org/W4365814503","https://openalex.org/W4367598041","https://openalex.org/W4377246533","https://openalex.org/W4383065520","https://openalex.org/W4386376246","https://openalex.org/W4388073261","https://openalex.org/W4388104856","https://openalex.org/W4391842092","https://openalex.org/W4393971651"],"related_works":["https://openalex.org/W4415543770","https://openalex.org/W7167726511","https://openalex.org/W7216241923","https://openalex.org/W4407571711","https://openalex.org/W4405698544","https://openalex.org/W4405652885","https://openalex.org/W4413769815","https://openalex.org/W4405650317","https://openalex.org/W4416607494","https://openalex.org/W3004891375"],"abstract_inverted_index":{"This":[0,125],"research":[1,126],"aims":[2],"to":[3,9,65,128],"develop":[4],"an":[5,101,108,140],"automated":[6,142],"classification":[7,73,143],"system":[8,144],"accurately":[10],"identify":[11],"and":[12,21,35,67,76,88,131],"classify":[13],"Ulos":[14,51,122,146],"batik":[15],"patterns":[16],"using":[17,38,84],"K-Nearest":[18],"Neighbors":[19],"(K-NN)":[20],"Support":[22],"Vector":[23],"Machine":[24],"(SVM)":[25],"techniques.":[26],"The":[27,44,59,112],"method":[28],"is":[29],"based":[30],"on":[31],"computer":[32],"vision":[33],"technology":[34],"texture":[36],"analysis":[37,113],"the":[39,97,116,132,135],"Gray-Level":[40],"Co-occurrence":[41],"Matrix":[42],"(GLCM).":[43],"dataset":[45],"consists":[46],"of":[47,50,103,110,118,134],"1,800":[48],"images":[49,64],"fabric":[52,123,147],"categorized":[53],"into":[54],"six":[55],"main":[56],"motif":[57],"classes.":[58],"preprocessing":[60],"process":[61],"involves":[62],"converting":[63],"grayscale":[66],"extracting":[68],"features":[69],"with":[70,82],"GLCM.":[71],"Two":[72],"algorithms,":[74],"K-NN":[75,98,119],"SVM,":[77],"were":[78],"used":[79],"for":[80,145],"modeling,":[81],"evaluation":[83],"confusion":[85],"matrix":[86],"metrics":[87],"Area":[89],"Under":[90],"Curve":[91],"(AUC).":[92],"Evaluation":[93],"results":[94],"show":[95],"that":[96],"model":[99],"has":[100,107],"accuracy":[102,109],"82%,":[104],"while":[105],"SVM":[106],"57%.":[111],"also":[114],"highlights":[115],"superiority":[117],"in":[120],"distinguishing":[121],"patterns.":[124,148],"contributes":[127],"cultural":[129],"preservation":[130],"development":[133],"creative":[136],"industry":[137],"by":[138],"introducing":[139],"effective":[141]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-07-22T00:00:00"}