{"id":"https://openalex.org/W7219360759","doi":null,"title":"Random Forest-Based Classification for Early Detection of Student Dropout","display_name":"Random Forest-Based Classification for Early Detection of Student Dropout","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7219360759"},"language":"en","primary_location":{"id":"pmh:oai:journal.perbanas.id:article/1229","doi":null,"is_oa":true,"landing_page_url":"https://journal.perbanas.id/index.php/index/article/view/1229","pdf_url":null,"source":{"id":"https://openalex.org/S7407067056","display_name":"Perbanas International Seminar on Economics, Business, Management, Accounting and IT","issn_l":"3047-0951","issn":["3047-0951"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I3129457838","host_organization_name":"Perbanas Institute","host_organization_lineage":["https://openalex.org/I3129457838"],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10.56174/proficient.v4i","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.perbanas.id/index.php/index/article/view/1229","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5156707675","display_name":"Chelsea Aulia Zahra","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zahra, Chelsea Aulia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121570037","display_name":"Ines Kartika Dewi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dewi, Ines Kartika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069306091","display_name":"Elliana Gautama","orcid":"https://orcid.org/0000-0002-9399-3958","observed_orcids":["https://orcid.org/0000-0002-9399-3958"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gautama, Elliana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71600442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T14241","display_name":"Evasion and Academic Success Factors","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":9.999999747378752e-05,"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/school-dropout","display_name":"school dropout","score":0.8899999856948853},{"id":"https://openalex.org/keywords/early-detection","display_name":"early detection","score":0.5600000023841858},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7049999833106995},{"id":"https://openalex.org/keywords/student-retention","display_name":"student retention","score":0.6809999942779541},{"id":"https://openalex.org/keywords/academic-success-prediction","display_name":"academic success prediction","score":0.6660000085830688},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"educational data mining","score":0.7900000214576721},{"id":"https://openalex.org/keywords/risk-classification","display_name":"risk classification","score":0.44200000166893005},{"id":"https://openalex.org/keywords/higher-education","display_name":"higher education","score":0.4580000042915344}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.8237000107765198},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6459000110626221},{"id":"https://openalex.org/C2779529714","wikidata":"https://www.wikidata.org/wiki/Q2632744","display_name":"Graduation (instrument)","level":2,"score":0.6003000140190125},{"id":"https://openalex.org/C2779479571","wikidata":"https://www.wikidata.org/wiki/Q4812273","display_name":"At-risk students","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5282999873161316},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49709999561309814},{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.46810001134872437},{"id":"https://openalex.org/C2781206393","wikidata":"https://www.wikidata.org/wiki/Q2748419","display_name":"Academic achievement","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43779999017715454},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.4196000099182129},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3903000056743622},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C194519906","wikidata":"https://www.wikidata.org/wiki/Q7627827","display_name":"Student engagement","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2596000134944916}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:journal.perbanas.id:article/1229","doi":null,"is_oa":true,"landing_page_url":"https://journal.perbanas.id/index.php/index/article/view/1229","pdf_url":null,"source":{"id":"https://openalex.org/S7407067056","display_name":"Perbanas International Seminar on Economics, Business, Management, Accounting and IT","issn_l":"3047-0951","issn":["3047-0951"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I3129457838","host_organization_name":"Perbanas Institute","host_organization_lineage":["https://openalex.org/I3129457838"],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10.56174/proficient.v4i","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:journal.perbanas.id:article/1229","doi":null,"is_oa":true,"landing_page_url":"https://journal.perbanas.id/index.php/index/article/view/1229","pdf_url":null,"source":{"id":"https://openalex.org/S7407067056","display_name":"Perbanas International Seminar on Economics, Business, Management, Accounting and IT","issn_l":"3047-0951","issn":["3047-0951"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I3129457838","host_organization_name":"Perbanas Institute","host_organization_lineage":["https://openalex.org/I3129457838"],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10.56174/proficient.v4i","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.8278999924659729,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7133322611","https://openalex.org/W4412870238","https://openalex.org/W7130852863","https://openalex.org/W7211910526","https://openalex.org/W7155523214","https://openalex.org/W7204810191","https://openalex.org/W7155387911","https://openalex.org/W4412509288","https://openalex.org/W4200297168","https://openalex.org/W7114988269"],"abstract_inverted_index":{"Student":[0],"dropout":[1,77,161],"is":[2,32,114,134],"one":[3],"of":[4,23,29,50,147,160,178],"the":[5,48,79,84,94,176],"major":[6],"challenges":[7],"in":[8,155,182],"higher":[9],"education":[10],"because":[11],"it":[12],"affects":[13],"academic":[14,43,67,187],"performance,":[15],"graduation":[16],"rates,":[17],"and":[18,42,65,88,109,129,141,162],"institutional":[19],"reputation.":[20],"Early":[21],"identification":[22],"students":[24,118,157],"who":[25],"are":[26,150],"at":[27,158],"risk":[28,159],"dropping":[30],"out":[31],"important":[33],"so":[34],"that":[35],"universities":[36,154],"can":[37],"provide":[38],"appropriate":[39],"intervention":[40],"strategies":[41,166],"support":[44,153],"systems.":[45,189],"Along":[46],"with":[47],"growth":[49],"educational":[51,183],"data,":[52],"machine":[53,179],"learning":[54,180],"techniques":[55,181],"have":[56],"become":[57],"increasingly":[58],"useful":[59],"for":[60,186],"analyzing":[61],"student":[62,76,164],"behavior":[63],"patterns":[64],"predicting":[66],"outcomes":[68],"more":[69],"effectively.":[70],"This":[71],"study":[72,149],"aims":[73],"to":[74,116,152,175],"classify":[75,117],"using":[78,136],"Random":[80,112],"Forest":[81,113],"algorithm":[82],"on":[83,126],"Predict":[85],"Students'":[86],"Dropout":[87],"Academic":[89],"Success":[90],"dataset":[91],"obtained":[92],"from":[93],"UCI":[95],"Machine":[96],"Learning":[97],"Repository.":[98],"The":[99,145],"research":[100,173],"process":[101],"includes":[102],"data":[103,184],"preprocessing,":[104],"feature":[105],"selection,":[106],"model":[107],"training,":[108],"performance":[110,133],"evaluation.":[111],"used":[115],"into":[119],"dropout,":[120],"enrolled,":[121],"or":[122],"graduate":[123],"categories":[124],"based":[125],"academic,":[127],"demographic,":[128],"socioeconomic":[130],"attributes.":[131],"Model":[132],"evaluated":[135],"accuracy,":[137],"precision,":[138],"recall,":[139],"F1-score,":[140],"confusion":[142],"matrix":[143],"analysis.":[144],"results":[146],"this":[148,172],"expected":[151],"identifying":[156],"improving":[163],"retention":[165],"through":[167],"data-driven":[168],"decision-making.":[169],"In":[170],"addition,":[171],"contributes":[174],"application":[177],"mining":[185],"prediction":[188]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-10-04T00:00:00"}