{"id":"https://openalex.org/W4382986133","doi":"https://doi.org/10.31294/jki.v11i1.16153","title":"KOMPARASI ALGORITMA DALAM MEMPREDIKSI PERUBAHAN HARGA SAHAM GOTO MENGGUNAKAN RAPIDMINER","display_name":"KOMPARASI ALGORITMA DALAM MEMPREDIKSI PERUBAHAN HARGA SAHAM GOTO MENGGUNAKAN RAPIDMINER","publication_year":2023,"publication_date":"2023-07-02","ids":{"openalex":"https://openalex.org/W4382986133","doi":"https://doi.org/10.31294/jki.v11i1.16153"},"language":"id","primary_location":{"id":"doi:10.31294/jki.v11i1.16153","doi":"https://doi.org/10.31294/jki.v11i1.16153","is_oa":true,"landing_page_url":"http://dx.doi.org/10.31294/jki.v11i1.16153","pdf_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/16153/6018","source":{"id":"https://openalex.org/S4210176267","display_name":"Jurnal Khatulistiwa Informatika","issn_l":"2339-1928","issn":["2339-1928","2579-633X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405253754","host_organization_name":"Universitas Bina Sarana Informatika","host_organization_lineage":["https://openalex.org/I4405253754"],"host_organization_lineage_names":[],"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 Khatulistiwa Informatika","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/16153/6018","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034905825","display_name":"Dwi Ismiyana Putri","orcid":"https://orcid.org/0000-0001-8069-6324","observed_orcids":["https://orcid.org/0000-0001-8069-6324"]},"institutions":[{"id":"https://openalex.org/I4405276589","display_name":"Universitas Bina Insani","ror":"https://ror.org/05qkm7j72","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276589"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dwi Ismiyana Putri","raw_affiliation_strings":["Universitas Bina Insani"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Bina Insani","institution_ids":["https://openalex.org/I4405276589"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019015304","display_name":"Mardi Yudhi Putra","orcid":"https://orcid.org/0009-0007-7866-8106","observed_orcids":["https://orcid.org/0009-0007-7866-8106"]},"institutions":[{"id":"https://openalex.org/I4405276589","display_name":"Universitas Bina Insani","ror":"https://ror.org/05qkm7j72","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276589"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mardi Yudhi Putra","raw_affiliation_strings":["Universitas Bina Insani"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Bina Insani","institution_ids":["https://openalex.org/I4405276589"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405276589"],"apc_list":null,"apc_paid":null,"fwci":0.878,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71965016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"14","last_page":"20"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","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/stock-price-prediction","display_name":"stock price prediction","score":0.9330000281333923},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.7080000042915344},{"id":"https://openalex.org/keywords/linear-regression","display_name":"linear regression","score":0.9610000252723694},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":1.0},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7829999923706055},{"id":"https://openalex.org/keywords/rapidminer","display_name":"RapidMiner","score":0.8820000290870667},{"id":"https://openalex.org/keywords/root-mean-square-error","display_name":"root mean square error","score":0.4129999876022339},{"id":"https://openalex.org/keywords/k-fold-cross-validation","display_name":"k-fold cross-validation","score":0.7789999842643738}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5050330758094788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38067394495010376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35509824752807617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31294/jki.v11i1.16153","doi":"https://doi.org/10.31294/jki.v11i1.16153","is_oa":true,"landing_page_url":"http://dx.doi.org/10.31294/jki.v11i1.16153","pdf_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/16153/6018","source":{"id":"https://openalex.org/S4210176267","display_name":"Jurnal Khatulistiwa Informatika","issn_l":"2339-1928","issn":["2339-1928","2579-633X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405253754","host_organization_name":"Universitas Bina Sarana Informatika","host_organization_lineage":["https://openalex.org/I4405253754"],"host_organization_lineage_names":[],"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 Khatulistiwa Informatika","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31294/jki.v11i1.16153","doi":"https://doi.org/10.31294/jki.v11i1.16153","is_oa":true,"landing_page_url":"http://dx.doi.org/10.31294/jki.v11i1.16153","pdf_url":"https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/download/16153/6018","source":{"id":"https://openalex.org/S4210176267","display_name":"Jurnal Khatulistiwa Informatika","issn_l":"2339-1928","issn":["2339-1928","2579-633X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405253754","host_organization_name":"Universitas Bina Sarana Informatika","host_organization_lineage":["https://openalex.org/I4405253754"],"host_organization_lineage_names":[],"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 Khatulistiwa Informatika","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/W4382986133.pdf","grobid_xml":"https://content.openalex.org/works/W4382986133.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W4323266786","https://openalex.org/W4379259139"],"related_works":["https://openalex.org/W4396237365","https://openalex.org/W4387216827","https://openalex.org/W1846301919","https://openalex.org/W4379793775","https://openalex.org/W3111889008","https://openalex.org/W7220538410","https://openalex.org/W7124574643","https://openalex.org/W7215580573","https://openalex.org/W3197175957","https://openalex.org/W4409834882"],"abstract_inverted_index":{"Perkembangan":[0],"teknologi":[1],"informasi":[2],"dan":[3,31,52,59,98,145,152,189],"keuangan":[4],"telah":[5],"mendorong":[6],"penggunaan":[7],"metode":[8,67],"prediksi":[9,97,156],"harga":[10,38,136,180],"saham":[11,39,137,181],"yang":[12,48,86,103,130,157,174,200],"efektif.":[13],"Dalam":[14],"penelitian":[15,199],"ini,":[16],"dilakukan":[17,78],"komparasi":[18],"terhadap":[19],"tiga":[20],"algoritma":[21,169],"populer,":[22],"yaitu":[23],"Regresi":[24,142],"Linear":[25,143],"(RL),":[26],"Support":[27,146],"Vector":[28,147],"Machine":[29,148],"(SVM),":[30],"Neural":[32,110,125,170],"Net":[33,111,126,171],"(NN),":[34],"untuk":[35,90,185],"memprediksi":[36,134,178],"perubahan":[37,135,179],"GOTO":[40,138],"dengan":[41,73,117,140,162],"menggunakan":[42],"aplikasi":[43],"RapidMiner":[44],"sebagai":[45],"alat":[46],"analisis":[47],"kuat":[49],"dalam":[50,101,133,177,195],"mengimplementasikan":[51],"membandingkan":[53,60],"kinerja":[54,61],"algoritma-algoritma":[55],"tersebut.":[56],"Untuk":[57],"mengukur":[58,91],"ketiga":[62],"model":[63,109,124,141,191],"prediksi,":[64],"peneliti":[65],"menerapkan":[66],"evaluasi":[68,188],"10":[69],"K-Fold":[70],"Cross":[71],"Validation":[72],"pembagian":[74],"data":[75],"90:10.":[76],"Analisis":[77],"berdasarkan":[79],"hasil":[80],"Root":[81],"Mean":[82],"Square":[83],"Error":[84],"(RMSE),":[85],"merupakan":[87],"indikator":[88],"umum":[89],"sejauh":[92],"mana":[93],"perbedaan":[94],"antara":[95],"nilai":[96,99,114],"aktual":[100],"unit":[102],"sama.":[104],"Hasil":[105],"analisa":[106],"menunjukkan":[107,122,167],"bahwa":[108,123,168,187],"(NN)":[112],"memberikan":[113,155],"RMSE":[115],"terendah":[116],"angka":[118],"sebesar":[119],"16.562.":[120],"Ini":[121],"memiliki":[127],"tingkat":[128],"akurasi":[129],"lebih":[131,175],"baik":[132,176],"dibandingkan":[139],"(22.479)":[144],"(31.326).":[149],"Meskipun":[150],"RL":[151],"SVM":[153],"juga":[154],"cukup":[158],"akurat,":[159],"NN":[160],"menonjol":[161],"performa":[163],"terbaik.":[164],"Penemuan":[165],"ini":[166],"adalah":[172],"pilihan":[173],"GOTO.":[182],"Namun,":[183],"penting":[184],"mencatat":[186],"pemilihan":[190],"harus":[192],"selalu":[193],"dipertimbangkan":[194],"konteks":[196],"bisnis":[197],"atau":[198],"relevan.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-07-04T00:00:00"}
