{"id":"https://openalex.org/W4400601876","doi":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","title":"Optimizing Bitcoin Price Predictions Using Long Short-Term Memory Algorithm: A Deep Learning Approach","display_name":"Optimizing Bitcoin Price Predictions Using Long Short-Term Memory Algorithm: A Deep Learning Approach","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4400601876","doi":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45"},"language":"en","primary_location":{"id":"doi:10.33096/ilkom.v16i1.1831.38-45","doi":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","is_oa":true,"landing_page_url":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","pdf_url":null,"source":{"id":"https://openalex.org/S4210226160","display_name":"ILKOM Jurnal Ilmiah","issn_l":"2087-1716","issn":["2087-1716","2548-7779"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4404663238","host_organization_name":"Indonesian Muslim University of Makassar","host_organization_lineage":["https://openalex.org/P4404663238"],"host_organization_lineage_names":["Indonesian Muslim University of Makassar"],"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":"ILKOM Jurnal Ilmiah","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/10.33096/ilkom.v16i1.1831.38-45","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073013263","display_name":"Ali Khumaidi","orcid":"https://orcid.org/0000-0002-4319-5018","observed_orcids":["https://orcid.org/0000-0002-4319-5018"]},"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":"Ali Khumaidi","raw_affiliation_strings":["Universitas Krisnadwipayana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Krisnadwipayana","institution_ids":["https://openalex.org/I4210143643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104431522","display_name":"Panji Kusmanto","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":"Panji Kusmanto","raw_affiliation_strings":["Universitas Krisnadwipayana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Krisnadwipayana","institution_ids":["https://openalex.org/I4210143643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109625332","display_name":"Nur Hikmah","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":"Nur Hikmah","raw_affiliation_strings":["Universitas Krisnadwipayana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Krisnadwipayana","institution_ids":["https://openalex.org/I4210143643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210143643"],"apc_list":{"value":1000000,"currency":"IDR","value_usd":65},"apc_paid":{"value":1000000,"currency":"IDR","value_usd":65},"fwci":0.6656,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67527419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"1","first_page":"38","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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":1.0,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.0,"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":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bitcoin-price-prediction","display_name":"Bitcoin price prediction","score":0.9819999933242798},{"id":"https://openalex.org/keywords/cryptocurrency-price-prediction","display_name":"cryptocurrency price prediction","score":0.7129999995231628},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.9160000085830688},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.765999972820282},{"id":"https://openalex.org/keywords/batch-size","display_name":"batch size","score":0.6579999923706055},{"id":"https://openalex.org/keywords/training-data-split","display_name":"training data split","score":0.6610000133514404},{"id":"https://openalex.org/keywords/prediction-horizon","display_name":"prediction horizon","score":0.5910000205039978},{"id":"https://openalex.org/keywords/short-term-forecasting","display_name":"short-term forecasting","score":0.4480000138282776},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.6190000176429749}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.774517297744751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7033731937408447},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7012839317321777},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.6574578881263733},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.49330273270606995},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4927428066730499},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.4621563255786896},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45304396748542786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4460742771625519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43730902671813965},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4165782928466797},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.4107248783111572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40508878231048584},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.3873021602630615},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3751811981201172},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33647775650024414},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3028084933757782},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.211074560880661},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16358250379562378},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.33096/ilkom.v16i1.1831.38-45","doi":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","is_oa":true,"landing_page_url":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","pdf_url":null,"source":{"id":"https://openalex.org/S4210226160","display_name":"ILKOM Jurnal Ilmiah","issn_l":"2087-1716","issn":["2087-1716","2548-7779"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4404663238","host_organization_name":"Indonesian Muslim University of Makassar","host_organization_lineage":["https://openalex.org/P4404663238"],"host_organization_lineage_names":["Indonesian Muslim University of Makassar"],"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":"ILKOM Jurnal Ilmiah","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cfc148ef95454f4dae55c9d8d80945da","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/cfc148ef95454f4dae55c9d8d80945da","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ilkom Jurnal Ilmiah, Vol 16, Iss 1, Pp 38-45 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.33096/ilkom.v16i1.1831.38-45","doi":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","is_oa":true,"landing_page_url":"https://doi.org/10.33096/ilkom.v16i1.1831.38-45","pdf_url":null,"source":{"id":"https://openalex.org/S4210226160","display_name":"ILKOM Jurnal Ilmiah","issn_l":"2087-1716","issn":["2087-1716","2548-7779"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4404663238","host_organization_name":"Indonesian Muslim University of Makassar","host_organization_lineage":["https://openalex.org/P4404663238"],"host_organization_lineage_names":["Indonesian Muslim University of Makassar"],"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":"ILKOM Jurnal Ilmiah","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2799024472","https://openalex.org/W2946480723","https://openalex.org/W3017500765","https://openalex.org/W3113983933","https://openalex.org/W3126895489","https://openalex.org/W3138924433","https://openalex.org/W3171799684","https://openalex.org/W3184002705","https://openalex.org/W3194223064","https://openalex.org/W4210922522","https://openalex.org/W4213455004","https://openalex.org/W4220738219","https://openalex.org/W4220915440","https://openalex.org/W4221113348","https://openalex.org/W4280640105","https://openalex.org/W4289173414","https://openalex.org/W4293581609","https://openalex.org/W4298130363","https://openalex.org/W4327919409","https://openalex.org/W4386823937","https://openalex.org/W4388679268"],"related_works":["https://openalex.org/W7133223700","https://openalex.org/W3120686041","https://openalex.org/W4328095028","https://openalex.org/W4400500462","https://openalex.org/W4389510567","https://openalex.org/W4310174981","https://openalex.org/W7202276700","https://openalex.org/W7222892569","https://openalex.org/W7220777704","https://openalex.org/W4414809203"],"abstract_inverted_index":{"Currently":[0],"bitcoin":[1,10,25,179],"is":[2,12,16,37,83,183],"considered":[3],"an":[4,43,167],"investment":[5],"tools,":[6],"the":[7,48,79,89,107,114,125,152,160,173,176,205],"value":[8],"of":[9,45,116,127,159,170,175,178,189,192,201,213],"itself":[11],"unstable":[13],"so":[14],"it":[15,82,97],"difficult":[17,84],"to":[18,57,85,93,105,148],"predict":[19],"which":[20,36],"can":[21],"cause":[22],"losses":[23],"for":[24,151,210],"traders.":[26],"Some":[27],"previous":[28],"research":[29],"shows":[30],"that":[31,81],"Long":[32],"Short-Term":[33],"Memory":[34],"(LSTM)":[35],"a":[38,164,187,199],"deep":[39],"learning":[40],"approach":[41],"as":[42],"improvement":[44],"RNN":[46],"has":[47,78],"best":[49,90,108],"performance":[50,165],"in":[51,87,110,142],"predicting":[52],"stocks":[53],"and":[54,66,70,92,124,130,145,204],"cryptocurrencies":[55],"compared":[56],"Support":[58],"Vector":[59],"Machine":[60],"(SVM),":[61],"Exponential":[62],"Moving":[63,67,74],"Average":[64,68,75],"(EMA),":[65],"(MA),":[69],"Seasonal":[71],"Autoregressive":[72],"Integrated":[73],"(SARIMA).":[76],"LSTM":[77,111,161],"disadvantage":[80],"understand":[86],"determining":[88],"parameters":[91,109,174],"obtain":[94],"good":[95],"results":[96,158],"needs":[98],"strict":[99],"hyperparameter":[100],"adjustment.":[101],"This":[102],"study":[103],"aims":[104],"find":[106],"by":[112],"selecting":[113],"amount":[115,126,177],"data,":[117],"training":[118],"data":[119,137,181,191],"composition,":[120],"batch":[121,196],"size,":[122],"epoch":[123],"prediction":[128,132],"time":[129,144],"analyzing":[131],"performance.":[133],"In":[134],"this":[135],"study,":[136],"collection":[138],"was":[139,146],"carried":[140],"out":[141],"real":[143],"able":[147],"provide":[149],"predictions":[150],"next":[153],"few":[154],"days.":[155],"The":[156],"test":[157],"algorithm":[162],"have":[163],"with":[166,172,186,198],"average":[168,207],"accuracy":[169,208],"93.69%":[171],"price":[180],"used":[182],"3":[184],"years,":[185],"percentage":[188],"train":[190],"85%,":[193],"using":[194],"10":[195],"sizes,":[197],"number":[200],"epochs":[202],"125,":[203],"highest":[206],"rate":[209],"7":[211],"days":[212],"prediction.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-07-14T00:00:00"}
