{"id":"https://openalex.org/W4409864751","doi":"https://doi.org/10.47080/iftech.v7i1.3895","title":"RANCANG BANGUN SISTEM DETEKSI KATARAK MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK","display_name":"RANCANG BANGUN SISTEM DETEKSI KATARAK MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4409864751","doi":"https://doi.org/10.47080/iftech.v7i1.3895"},"language":"en","primary_location":{"id":"doi:10.47080/iftech.v7i1.3895","doi":"https://doi.org/10.47080/iftech.v7i1.3895","is_oa":true,"landing_page_url":"https://doi.org/10.47080/iftech.v7i1.3895","pdf_url":"https://ejournal.lppm-unbaja.ac.id/index.php/iftech/article/download/3895/1896","source":{"id":"https://openalex.org/S4387278787","display_name":"Journal of Innovation And Future Technology (IFTECH)","issn_l":"2656-1719","issn":["2656-1719","2656-2774"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662435","host_organization_name":"Universitas Banten Jaya","host_organization_lineage":["https://openalex.org/P4404662435"],"host_organization_lineage_names":["Universitas Banten Jaya"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Innovation And Future Technology (IFTECH)","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ejournal.lppm-unbaja.ac.id/index.php/iftech/article/download/3895/1896","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101527612","display_name":"Widyawati Widyawati","orcid":"https://orcid.org/0000-0002-3046-2586","observed_orcids":["https://orcid.org/0000-0002-3046-2586"]},"institutions":[{"id":"https://openalex.org/I4389425377","display_name":"Universitas Banten Jaya","ror":"https://ror.org/05bhks608","country_code":"ID","type":"education","lineage":["https://openalex.org/I4389425377"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Widyawati Widyawati","raw_affiliation_strings":["Universitas Banten Jaya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Banten Jaya","institution_ids":["https://openalex.org/I4389425377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117351691","display_name":"Rafli Sidik","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4389425377","display_name":"Universitas Banten Jaya","ror":"https://ror.org/05bhks608","country_code":"ID","type":"education","lineage":["https://openalex.org/I4389425377"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rafli Sidik","raw_affiliation_strings":["Universitas Banten Jaya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Banten Jaya","institution_ids":["https://openalex.org/I4389425377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019639130","display_name":"Ely Nuryani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4389425377","display_name":"Universitas Banten Jaya","ror":"https://ror.org/05bhks608","country_code":"ID","type":"education","lineage":["https://openalex.org/I4389425377"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ely Nuryani","raw_affiliation_strings":["Universitas Banten Jaya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Banten Jaya","institution_ids":["https://openalex.org/I4389425377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065495911","display_name":"Persis Haryo Winasis","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Persis Haryo Winasis","raw_affiliation_strings":["IPWIJA University Jakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPWIJA University Jakarta","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09724265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":"155","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.8705999851226807,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.8705999851226807,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.07509999722242355,"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/T14384","display_name":"Ophthalmology and Visual Health Research","score":0.014499999582767487,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cataract-detection","display_name":"cataract detection","score":1.0},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9190000295639038},{"id":"https://openalex.org/keywords/vgg16","display_name":"VGG16","score":0.984000027179718},{"id":"https://openalex.org/keywords/eye-image-classification","display_name":"eye image classification","score":0.8529999852180481},{"id":"https://openalex.org/keywords/cataract-screening","display_name":"cataract screening","score":0.8140000104904175},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.7559999823570251},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"ophthalmology","score":0.7049999833106995},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.5490000247955322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5280070304870605},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5244876742362976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033974051475525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.351345419883728}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.47080/iftech.v7i1.3895","doi":"https://doi.org/10.47080/iftech.v7i1.3895","is_oa":true,"landing_page_url":"https://doi.org/10.47080/iftech.v7i1.3895","pdf_url":"https://ejournal.lppm-unbaja.ac.id/index.php/iftech/article/download/3895/1896","source":{"id":"https://openalex.org/S4387278787","display_name":"Journal of Innovation And Future Technology (IFTECH)","issn_l":"2656-1719","issn":["2656-1719","2656-2774"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662435","host_organization_name":"Universitas Banten Jaya","host_organization_lineage":["https://openalex.org/P4404662435"],"host_organization_lineage_names":["Universitas Banten Jaya"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Innovation And Future Technology (IFTECH)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.47080/iftech.v7i1.3895","doi":"https://doi.org/10.47080/iftech.v7i1.3895","is_oa":true,"landing_page_url":"https://doi.org/10.47080/iftech.v7i1.3895","pdf_url":"https://ejournal.lppm-unbaja.ac.id/index.php/iftech/article/download/3895/1896","source":{"id":"https://openalex.org/S4387278787","display_name":"Journal of Innovation And Future Technology (IFTECH)","issn_l":"2656-1719","issn":["2656-1719","2656-2774"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662435","host_organization_name":"Universitas Banten Jaya","host_organization_lineage":["https://openalex.org/P4404662435"],"host_organization_lineage_names":["Universitas Banten Jaya"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Innovation And Future Technology (IFTECH)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409864751.pdf","grobid_xml":"https://content.openalex.org/works/W4409864751.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7124258073","https://openalex.org/W4221095662","https://openalex.org/W7018308237","https://openalex.org/W7161854286","https://openalex.org/W4411600262","https://openalex.org/W7123364107","https://openalex.org/W4285104096","https://openalex.org/W4393064644","https://openalex.org/W4387712832","https://openalex.org/W4390662558"],"abstract_inverted_index":{"Cataract":[0],"is":[1,54,69,84,174],"a":[2,52,70,85,118,124],"condition":[3],"in":[4,14,60,129],"which":[5],"the":[6,9,44,47,61,102,115,172,187,191,194,199,205],"lens":[7],"inside":[8],"eye":[10,141,208],"becomes":[11],"cloudy,":[12],"resulting":[13],"blurred":[15],"or":[16,80],"hazy":[17],"vision.":[18],"RSAW":[19],"treats":[20],"around":[21],"800":[22],"cataract":[23,30,62,120,130,149],"patients":[24,131],"every":[25],"month,":[26],"served":[27],"by":[28],"seven":[29],"ophthalmologists.":[31],"The":[32,134,153,167],"limited":[33],"number":[34],"of":[35,40,46,72,87,98,117,145,148,182,193,201,207],"doctors":[36,59],"and":[37,100,113,150,197],"different":[38],"levels":[39],"expertise":[41],"can":[42,57,92],"affect":[43],"duration":[45],"initial":[48],"screening":[49,195],"time.":[50],"Therefore,":[51],"system":[53,122,173,185],"needed":[55],"that":[56,91,171],"support":[58],"diagnosis":[63,128],"process.":[64],"Convolutional":[65],"Neural":[66],"Network":[67],"(CNN)":[68],"type":[71,86],"neural":[73],"network":[74],"specifically":[75],"designed":[76],"to":[77,111,163,176,189],"process":[78,105,196],"image":[79,142],"video":[81],"data.":[82],"CNN":[83,135,154],"deep":[88],"learning":[89],"model":[90,136],"train":[93],"systems":[94],"using":[95,139],"large":[96],"amounts":[97],"data":[99],"integrate":[101],"feature":[103],"extraction":[104],"with":[106,179],"classification.":[107],"This":[108,184],"study":[109],"aims":[110],"develop":[112],"evaluate":[114],"performance":[116],"CNN-based":[119],"detection":[121],"as":[123],"tool":[125],"for":[126,160],"early":[127],"at":[132],"RSAW.":[133],"was":[137,157],"trained":[138],"an":[140,180],"dataset":[143],"consisting":[144],"1120":[146],"images":[147],"non-cataract":[151],"patients.":[152],"architecture":[155],"used":[156],"VGG16,":[158],"chosen":[159],"its":[161],"ability":[162],"extract":[164],"relevant":[165],"features.":[166],"evaluation":[168],"results":[169],"show":[170],"able":[175],"detect":[177],"cataracts":[178],"accuracy":[181],"96.43%,":[183],"has":[186],"potential":[188],"increase":[190],"efficiency":[192],"reduce":[198],"workload":[200],"doctors,":[202],"thereby":[203],"improving":[204],"quality":[206],"health":[209],"services.":[210]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2025-04-28T00:00:00"}
