{"id":"https://openalex.org/W4385799596","doi":"https://doi.org/10.29207/resti.v7i4.5052","title":"Brent Crude Oil Price Forecasting using the Cascade Forward Neural Network","display_name":"Brent Crude Oil Price Forecasting using the Cascade Forward Neural Network","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4385799596","doi":"https://doi.org/10.29207/resti.v7i4.5052"},"language":"en","primary_location":{"id":"doi:10.29207/resti.v7i4.5052","doi":"https://doi.org/10.29207/resti.v7i4.5052","is_oa":true,"landing_page_url":"https://doi.org/10.29207/resti.v7i4.5052","pdf_url":"https://jurnal.iaii.or.id/index.php/RESTI/article/download/5052/818","source":{"id":"https://openalex.org/S4210183703","display_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","issn_l":"2580-0760","issn":["2580-0760"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315237","host_organization_name":"Ikatan Ahli Indormatika Indonesia","host_organization_lineage":["https://openalex.org/P4310315237"],"host_organization_lineage_names":["Ikatan Ahli Indormatika Indonesia"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","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://jurnal.iaii.or.id/index.php/RESTI/article/download/5052/818","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036171029","display_name":"Fatkhurokhman Fauzi","orcid":"https://orcid.org/0000-0002-8277-8638","observed_orcids":["https://orcid.org/0000-0002-8277-8638"]},"institutions":[{"id":"https://openalex.org/I4210159899","display_name":"Universitas Muhammadiyah Semarang","ror":"https://ror.org/05hra0856","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210159899"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Fatkhurokhman Fauzi","raw_affiliation_strings":["Universitas Muhammadiyah Semarang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Semarang","institution_ids":["https://openalex.org/I4210159899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092799047","display_name":"Dewi Ratnasari Wijaya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210159899","display_name":"Universitas Muhammadiyah Semarang","ror":"https://ror.org/05hra0856","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210159899"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dewi Ratnasari Wijaya","raw_affiliation_strings":["Universitas Muhammadiyah Semarang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Semarang","institution_ids":["https://openalex.org/I4210159899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108856806","display_name":"Tiani Wahyu Utami","orcid":"https://orcid.org/0009-0008-5278-5037","observed_orcids":["https://orcid.org/0009-0008-5278-5037"]},"institutions":[{"id":"https://openalex.org/I4210159899","display_name":"Universitas Muhammadiyah Semarang","ror":"https://ror.org/05hra0856","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210159899"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tiani Wahyu Utami","raw_affiliation_strings":["Universitas Muhammadiyah Semarang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Semarang","institution_ids":["https://openalex.org/I4210159899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210159899"],"apc_list":{"value":1500000,"currency":"IDR","value_usd":150},"apc_paid":{"value":1500000,"currency":"IDR","value_usd":150},"fwci":1.3169,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79170831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"7","issue":"4","first_page":"964","last_page":"969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9491999745368958,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9491999745368958,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.04919999837875366,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brent-crude-oil","display_name":"Brent crude oil","score":0.9539999961853027},{"id":"https://openalex.org/keywords/oil-price-forecasting","display_name":"oil price forecasting","score":0.8740000128746033},{"id":"https://openalex.org/keywords/cascade-forward-neural-network","display_name":"cascade forward neural network","score":0.8980000019073486},{"id":"https://openalex.org/keywords/fuel-oil-prices","display_name":"fuel oil prices","score":0.7369999885559082},{"id":"https://openalex.org/keywords/neural-network-architecture-selection","display_name":"neural network architecture selection","score":0.6610000133514404},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"mean absolute percentage error","score":0.7820000052452087}],"concepts":[{"id":"https://openalex.org/C68593654","wikidata":"https://www.wikidata.org/wiki/Q1270246","display_name":"Brent Crude","level":3,"score":0.9000691771507263},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.7709946632385254},{"id":"https://openalex.org/C138171918","wikidata":"https://www.wikidata.org/wiki/Q38423","display_name":"Diesel fuel","level":2,"score":0.6143381595611572},{"id":"https://openalex.org/C2987168347","wikidata":"https://www.wikidata.org/wiki/Q22656","display_name":"Crude oil","level":2,"score":0.6060661673545837},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44177696108818054},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.43136897683143616},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3781159222126007},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3657831847667694},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.29004523158073425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2794744372367859},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20710352063179016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14301547408103943},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.1157086193561554}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.29207/resti.v7i4.5052","doi":"https://doi.org/10.29207/resti.v7i4.5052","is_oa":true,"landing_page_url":"https://doi.org/10.29207/resti.v7i4.5052","pdf_url":"https://jurnal.iaii.or.id/index.php/RESTI/article/download/5052/818","source":{"id":"https://openalex.org/S4210183703","display_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","issn_l":"2580-0760","issn":["2580-0760"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315237","host_organization_name":"Ikatan Ahli Indormatika Indonesia","host_organization_lineage":["https://openalex.org/P4310315237"],"host_organization_lineage_names":["Ikatan Ahli Indormatika Indonesia"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0725e705da5c4c36ba7b20966d213b2b","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/0725e705da5c4c36ba7b20966d213b2b","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 RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 7, Iss 4 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.29207/resti.v7i4.5052","doi":"https://doi.org/10.29207/resti.v7i4.5052","is_oa":true,"landing_page_url":"https://doi.org/10.29207/resti.v7i4.5052","pdf_url":"https://jurnal.iaii.or.id/index.php/RESTI/article/download/5052/818","source":{"id":"https://openalex.org/S4210183703","display_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","issn_l":"2580-0760","issn":["2580-0760"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315237","host_organization_name":"Ikatan Ahli Indormatika Indonesia","host_organization_lineage":["https://openalex.org/P4310315237"],"host_organization_lineage_names":["Ikatan Ahli Indormatika Indonesia"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385799596.pdf","grobid_xml":"https://content.openalex.org/works/W4385799596.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2011227258","https://openalex.org/W2033815440","https://openalex.org/W2758571349","https://openalex.org/W2773560649","https://openalex.org/W2806149722","https://openalex.org/W2885491593","https://openalex.org/W2898179508","https://openalex.org/W2931540711","https://openalex.org/W2938226785","https://openalex.org/W2942564721","https://openalex.org/W2942984446","https://openalex.org/W2989676895","https://openalex.org/W2990124478","https://openalex.org/W3004709135","https://openalex.org/W3091062587","https://openalex.org/W3157860181","https://openalex.org/W3167939264","https://openalex.org/W3200781978","https://openalex.org/W4285659150","https://openalex.org/W4402504235"],"related_works":["https://openalex.org/W3104895083","https://openalex.org/W2899286248","https://openalex.org/W7124467079","https://openalex.org/W2024359316","https://openalex.org/W7155367812","https://openalex.org/W4386764265","https://openalex.org/W7140220172","https://openalex.org/W4297105462","https://openalex.org/W3194714374","https://openalex.org/W4229000173"],"abstract_inverted_index":{"Crude":[0],"oil":[1,18,36,56,102,172],"is":[2,57,76,96,134],"one":[3],"of":[4,34,45,53,67,83,99,158,164],"the":[5,13,25,51,65,97,104,118,126,138,149,167,174],"most":[6],"traded":[7],"non-food":[8],"products":[9],"or":[10],"commodities":[11],"in":[12,29,38,42,64,86,93,103],"world.":[14],"In":[15],"Indonesia,":[16],"crude":[17,46,55,101,171],"will":[19,114],"still":[20],"be":[21,115],"a":[22,43,153,181],"contributor":[23],"to":[24,61,78,108,124,136,179],"gross":[26],"domestic":[27],"product":[28],"2021.":[30],"The":[31,70,90,111,130],"excessive":[32],"consumption":[33],"fuel":[35,68,80],"(BBM)":[37],"Indonesia":[39],"has":[40],"resulted":[41],"scarcity":[44],"oil,":[47],"especially":[48],"diesel.":[49],"Forecasting":[50,166],"price":[52,66,98],"Brent":[54,100,170],"an":[58],"important":[59],"effort":[60],"anticipate":[62],"fluctuations":[63],"oil.":[69],"cascade-forward":[71],"neural":[72],"network":[73],"(CFNN)":[74],"method":[75,113],"proposed":[77],"forecast":[79],"prices":[81],"because":[82],"its":[84],"superiority":[85],"fluctuating":[87],"data":[88,91,155,162],"types.":[89],"used":[92,135],"this":[94],"research":[95],"period":[105],"January":[106],"2008":[107],"December":[109,185],"2022.":[110],"CFNN":[112],"evaluated":[116],"using":[117],"mean":[119],"absolute":[120],"percentage":[121],"error":[122],"(MAPE)":[123],"choose":[125],"best":[127,131,150],"architectural":[128,144],"model.":[129],"Architectural":[132],"Model":[133],"predict":[137],"next":[139,175],"12":[140,176],"months.":[141],"After":[142],"10":[143],"model":[145,151],"trials,":[146],"2-6-1":[147],"became":[148],"with":[152],"MAPE":[154,161],"training":[156],"value":[157],"6.3473%":[159],"and":[160],"testing":[163],"9.4689%.":[165],"results":[168],"for":[169,173],"months":[177],"tends":[178],"experience":[180],"downward":[182],"trend":[183],"until":[184],"2023.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-08-15T00:00:00"}
