{"id":"https://openalex.org/W4281767559","doi":"https://doi.org/10.32485/kopertip.v4i1.112","title":"Implementasi Algoritma Na\u00efve Bayes Untuk Prediksi Persediaan Barang Rotan","display_name":"Implementasi Algoritma Na\u00efve Bayes Untuk Prediksi Persediaan Barang Rotan","publication_year":2022,"publication_date":"2022-06-04","ids":{"openalex":"https://openalex.org/W4281767559","doi":"https://doi.org/10.32485/kopertip.v4i1.112"},"language":"id","primary_location":{"id":"doi:10.32485/kopertip.v4i1.112","doi":"https://doi.org/10.32485/kopertip.v4i1.112","is_oa":true,"landing_page_url":"https://doi.org/10.32485/kopertip.v4i1.112","pdf_url":"http://jurnal.kopertipindonesia.or.id/index.php/kopertip/article/download/112/65","source":{"id":"https://openalex.org/S4210191327","display_name":"KOPERTIP Jurnal Ilmiah Manajemen Informatika dan Komputer","issn_l":"2549-211X","issn":["2549-211X","2549-9351"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KOPERTIP : Jurnal Ilmiah Manajemen Informatika dan Komputer","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://jurnal.kopertipindonesia.or.id/index.php/kopertip/article/download/112/65","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010140277","display_name":"Yuniar Niar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405276199","display_name":"STMIK IKMI Cirebon","ror":"https://ror.org/04zyt2854","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276199"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Yuniar Niar","raw_affiliation_strings":["STMIK IKMI CIREBON"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK IKMI CIREBON","institution_ids":["https://openalex.org/I4405276199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kokom Komariah","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405276199","display_name":"STMIK IKMI Cirebon","ror":"https://ror.org/04zyt2854","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276199"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kokom Komariah","raw_affiliation_strings":["STMIK IKMI Cirebon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK IKMI Cirebon","institution_ids":["https://openalex.org/I4405276199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073303278","display_name":"Agus Surip","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405276199","display_name":"STMIK IKMI Cirebon","ror":"https://ror.org/04zyt2854","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276199"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agus Surip","raw_affiliation_strings":["STMIK IKMI Cirebon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK IKMI Cirebon","institution_ids":["https://openalex.org/I4405276199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084189830","display_name":"Riko Saputra","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405276199","display_name":"STMIK IKMI Cirebon","ror":"https://ror.org/04zyt2854","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276199"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riko Saputra","raw_affiliation_strings":["STMIK IKMI Cirebon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK IKMI Cirebon","institution_ids":["https://openalex.org/I4405276199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101629305","display_name":"Irfan Ali","orcid":"https://orcid.org/0000-0002-0009-4540","observed_orcids":["https://orcid.org/0000-0002-0009-4540"]},"institutions":[{"id":"https://openalex.org/I4405276199","display_name":"STMIK IKMI Cirebon","ror":"https://ror.org/04zyt2854","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276199"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Irfan Ali","raw_affiliation_strings":["STMIK IKMI Cirebon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK IKMI Cirebon","institution_ids":["https://openalex.org/I4405276199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405276199"],"apc_list":null,"apc_paid":null,"fwci":2.068,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87431132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"4","issue":"1","first_page":"28","last_page":"34"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.7870000004768372},{"id":"https://openalex.org/keywords/inventory-prediction","display_name":"inventory prediction","score":0.7609999775886536},{"id":"https://openalex.org/keywords/sales-transactions","display_name":"sales transaction data","score":0.8259999752044678},{"id":"https://openalex.org/keywords/production-planning","display_name":"production planning","score":0.6470000147819519},{"id":"https://openalex.org/keywords/raw-material-availability","display_name":"raw material availability","score":0.847000002861023},{"id":"https://openalex.org/keywords/covid-19","display_name":"COVID-19 pandemic","score":0.8500000238418579},{"id":"https://openalex.org/keywords/rapidminer","display_name":"RapidMiner","score":0.5440000295639038}],"concepts":[{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.42850080132484436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.398695170879364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3220379948616028},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21699556708335876}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32485/kopertip.v4i1.112","doi":"https://doi.org/10.32485/kopertip.v4i1.112","is_oa":true,"landing_page_url":"https://doi.org/10.32485/kopertip.v4i1.112","pdf_url":"http://jurnal.kopertipindonesia.or.id/index.php/kopertip/article/download/112/65","source":{"id":"https://openalex.org/S4210191327","display_name":"KOPERTIP Jurnal Ilmiah Manajemen Informatika dan Komputer","issn_l":"2549-211X","issn":["2549-211X","2549-9351"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KOPERTIP : Jurnal Ilmiah Manajemen Informatika dan Komputer","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32485/kopertip.v4i1.112","doi":"https://doi.org/10.32485/kopertip.v4i1.112","is_oa":true,"landing_page_url":"https://doi.org/10.32485/kopertip.v4i1.112","pdf_url":"http://jurnal.kopertipindonesia.or.id/index.php/kopertip/article/download/112/65","source":{"id":"https://openalex.org/S4210191327","display_name":"KOPERTIP Jurnal Ilmiah Manajemen Informatika dan Komputer","issn_l":"2549-211X","issn":["2549-211X","2549-9351"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KOPERTIP : Jurnal Ilmiah Manajemen Informatika dan Komputer","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/W4281767559.pdf","grobid_xml":"https://content.openalex.org/works/W4281767559.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W4206723485","https://openalex.org/W4206961037","https://openalex.org/W4207045524","https://openalex.org/W4210429395","https://openalex.org/W4214839937","https://openalex.org/W4315563916","https://openalex.org/W4315563978","https://openalex.org/W4320153963","https://openalex.org/W4320153964","https://openalex.org/W4320154016","https://openalex.org/W4320154024"],"related_works":["https://openalex.org/W4285670294","https://openalex.org/W4379797321","https://openalex.org/W4313196383","https://openalex.org/W4319262838","https://openalex.org/W7217972114","https://openalex.org/W7220506510","https://openalex.org/W4400218553","https://openalex.org/W7215365084","https://openalex.org/W7216483157","https://openalex.org/W7092732269"],"abstract_inverted_index":{"Pada":[0],"era":[1],"pandemi":[2],"Covid":[3],"19":[4],"produksi":[5,31,46,75],"barang":[6],"selalu":[7,51],"dijaga":[8],"sesuai":[9],"dengan":[10,91,110],"kebutuhan":[11],"dan":[12,100,115,126,137,148],"melihat":[13],"pada":[14,40,76,79,104],"stok":[15,43,55],"rotan.":[16],"Stok":[17],"rotan":[18,44],"saat":[19],"ini":[20,37,72,85,106],"sedikit":[21],"terhambat":[22],"karena":[23],"terdapat":[24],"beberapa":[25],"kebijakan":[26],"yang":[27,159],"dinilai":[28],"dapat":[29],"mempengaruhi":[30],"yaitu":[32],"Penyekatan":[33],"antar":[34],"wilayah.":[35],"Penelitian":[36],"menitik":[38],"beratkan":[39],"prediksi":[41,54],"penentuan":[42],"agar":[45],"tetap":[47],"jalan,":[48],"bahan":[49],"baku":[50],"tersedia.":[52],"Analisa":[53],"disesuaikan":[56],"dari":[57,61],"data":[58,62,74,119,130,141,152],"transaksi":[59],"penjualan,":[60],"transakasi":[63],"penjualan":[64],"dilakukan":[65],"analisa":[66],"menggunakan":[67,73,86],"algoritma":[68],"na\u00efve":[69],"bayes.":[70],"Penitian":[71],"tahun":[77],"2020":[78],"CV":[80],"Jaka":[81],"Depok":[82],"Cirebon.":[83],"Prediksi":[84,113,124,135,146],"aplikasi":[87],"Rapidminer":[88],"Versi":[89],"9.9":[90],"Operator,":[92],"Retrive,":[93],"Cross":[94],"Validation,":[95],"Na\u00efve":[96],"Bayes,":[97],"Apply":[98],"Model":[99],"Performance.":[101],"Hasil":[102,112,123,134,145],"Akurasi":[103],"penlitian":[105],"menunjukan":[107],"91.43":[108],"%":[109],"rincian":[111],"Jarang":[114,117,125,139],"True":[116,127,138,149],"memiliki":[118,129,140,151],"sebanyak":[120,131,142,153],"181":[121],"Data.":[122,133,144,155],"Sering":[128,136,147,150],"9":[132],"23":[143],"160":[154],"Terdapat":[156],"183":[157],"Barang":[158],"menjadi":[160],"Prioritas":[161],"untuk":[162],"diperbanyak":[163],"produksinya.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-06-13T00:00:00"}