{"id":"https://openalex.org/W4200416649","doi":"https://doi.org/10.24176/detika.v2i1.6964","title":"OPTIMASI PARTICLE SWARM OPTIMIZATION PADA NA\u00cfVE BAYES UNTUK PREDIKSI KONDISI KELAHIRAN BAYI","display_name":"OPTIMASI PARTICLE SWARM OPTIMIZATION PADA NA\u00cfVE BAYES UNTUK PREDIKSI KONDISI KELAHIRAN BAYI","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4200416649","doi":"https://doi.org/10.24176/detika.v2i1.6964"},"language":"id","primary_location":{"id":"doi:10.24176/detika.v2i1.6964","doi":"https://doi.org/10.24176/detika.v2i1.6964","is_oa":true,"landing_page_url":"https://doi.org/10.24176/detika.v2i1.6964","pdf_url":"https://jurnal.umk.ac.id/index.php/detika/article/download/6964/2967","source":{"id":"https://openalex.org/S4210238350","display_name":"Jurnal Dialektika Informatika (Detika)","issn_l":"2746-2811","issn":["2746-2811","2774-2148"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315075","host_organization_name":"Muria Kudus University","host_organization_lineage":["https://openalex.org/P4310315075"],"host_organization_lineage_names":["Muria Kudus University"],"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 Dialektika Informatika (Detika)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://jurnal.umk.ac.id/index.php/detika/article/download/6964/2967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048347875","display_name":"Handini Arga Damar Rani","orcid":"https://orcid.org/0000-0002-2865-0991","observed_orcids":["https://orcid.org/0000-0002-2865-0991"]},"institutions":[{"id":"https://openalex.org/I4405275280","display_name":"Universitas Ivet","ror":"https://ror.org/039ej5p61","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405275280"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Handini Arga Damar Rani","raw_affiliation_strings":["Universitas IVET"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas IVET","institution_ids":["https://openalex.org/I4405275280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048347875"],"corresponding_institution_ids":["https://openalex.org/I4405275280"],"apc_list":null,"apc_paid":null,"fwci":0.319,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61826664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2","issue":"1","first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.5234000086784363,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.5234000086784363,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.4749000072479248,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.0005000000237487257,"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/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9359999895095825},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.7820000052452087},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.5989999771118164},{"id":"https://openalex.org/keywords/medical-data-classification","display_name":"medical data classification","score":0.5019999742507935},{"id":"https://openalex.org/keywords/crisp-dm","display_name":"CRISP-DM","score":0.718999981880188},{"id":"https://openalex.org/keywords/fetal-position","display_name":"fetal position","score":0.41499999165534973},{"id":"https://openalex.org/keywords/fundal-height","display_name":"fundal height","score":0.7639999985694885}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4645533263683319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3849193751811981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2987702488899231}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24176/detika.v2i1.6964","doi":"https://doi.org/10.24176/detika.v2i1.6964","is_oa":true,"landing_page_url":"https://doi.org/10.24176/detika.v2i1.6964","pdf_url":"https://jurnal.umk.ac.id/index.php/detika/article/download/6964/2967","source":{"id":"https://openalex.org/S4210238350","display_name":"Jurnal Dialektika Informatika (Detika)","issn_l":"2746-2811","issn":["2746-2811","2774-2148"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315075","host_organization_name":"Muria Kudus University","host_organization_lineage":["https://openalex.org/P4310315075"],"host_organization_lineage_names":["Muria Kudus University"],"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 Dialektika Informatika (Detika)","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2479b8d1857648f88fd87b09b3139393","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2479b8d1857648f88fd87b09b3139393","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 Dialektika Informatika, Vol 2, Iss 1, Pp 28-33 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.24176/detika.v2i1.6964","doi":"https://doi.org/10.24176/detika.v2i1.6964","is_oa":true,"landing_page_url":"https://doi.org/10.24176/detika.v2i1.6964","pdf_url":"https://jurnal.umk.ac.id/index.php/detika/article/download/6964/2967","source":{"id":"https://openalex.org/S4210238350","display_name":"Jurnal Dialektika Informatika (Detika)","issn_l":"2746-2811","issn":["2746-2811","2774-2148"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315075","host_organization_name":"Muria Kudus University","host_organization_lineage":["https://openalex.org/P4310315075"],"host_organization_lineage_names":["Muria Kudus University"],"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 Dialektika Informatika (Detika)","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.504800021648407,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334759","display_name":"Deutsches Elektronen-Synchrotron","ror":"https://ror.org/01js2sh04"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200416649.pdf","grobid_xml":"https://content.openalex.org/works/W4200416649.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W88345529","https://openalex.org/W4205111014","https://openalex.org/W7163161753","https://openalex.org/W3215025120","https://openalex.org/W4389741249","https://openalex.org/W4386394747","https://openalex.org/W4322583393","https://openalex.org/W7114913350","https://openalex.org/W4385388183","https://openalex.org/W2799600832"],"abstract_inverted_index":{"Tehnik":[0],"data":[1,12,19,44,47],"mining":[2],"dapat":[3],"digunakan":[4,117],"dalam":[5,10,43],"berbagai":[6,31],"bidang":[7],"salah":[8],"satunya":[9],"aspek":[11],"mining,":[13,45],"buat":[14,62,98],"memperkirakan":[15,63],"sebuah":[16],"penyakit":[17,65],"dari":[18,68],"rekam":[20],"medis":[21],"pasien.":[22,66],"Teknik":[23],"riset":[24,28],"yang":[25,107,153],"dipakai":[26,61,97],"pada":[27,151],"ini":[29],"mengikuti":[30],"tahapan":[32],"model":[33,126,152],"\u201cCross-Industry":[34],"Standard":[35],"Process":[36],"Data":[37,106],"Mining\u201d":[38],"(CRISP-DM).":[39],"Melalui":[40],"metode":[41,72],"klasifikasi":[42,73],"atribut":[46],"seperti":[48],"usia,":[49],"tekanan":[50],"darah,":[51],"berat":[52],"badan,":[53],"posisi":[54],"janin,":[55],"dan":[56,76,122,125,137,143],"tinggi":[57],"fundus":[58],"uteri":[59],"bisa":[60,96],"kemungkinan":[64],"Maka":[67],"itu,":[69],"peneliti":[70],"menggunakan":[71,129],"Naive":[74],"Bayesian":[75],"optimasi":[77],"\u201cParticle":[78],"Swarm":[79],"Optimization\u201d":[80],"(PSO)":[81],"untuk":[82],"prediksi":[83,88,94,127],"kelahiran":[84,90,102],"bayi":[85,103],"guna":[86],"mengecek":[87],"status":[89],"bayi.":[91],"Dari":[92],"hasil":[93,101],"itu":[95],"menetapkan":[99],"rata-rata":[100],"setiap":[104],"bulannya.":[105],"kami":[108],"pakai":[109],"adalah":[110],"jumlah":[111],"ibu":[112],"hamil":[113],"165.":[114],"Selama":[115],"pengujian":[116],"perhitungan":[118],"akurasi,":[119,120],"recall,":[121],"AUC":[123,145],"chart,":[124],"dievaluasi":[128],"10":[130],"\u201cfold":[131],"cross-validation\u201d.":[132],"Dengan":[133],"nilai":[134,144],"akurasi":[135],"91,82%":[136],"precission":[138],"100%":[139],"serta":[140],"recall":[141],"81,50%":[142],"0.90":[146],"termasuk":[147],"kategori":[148],"excellent":[149],"classification":[150],"diujikan":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2021-12-31T00:00:00"}