{"id":"https://openalex.org/W7223535552","doi":null,"title":"Applying Random Forest to Predict Unemployment in Medan City for Adaptive Labor Policy Formulation","display_name":"Applying Random Forest to Predict Unemployment in Medan City for Adaptive Labor Policy Formulation","publication_year":2023,"publication_date":"2023-02-13","ids":{"openalex":"https://openalex.org/W7223535552"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.proceeding.unpab.ac.id:article/1905","doi":null,"is_oa":true,"landing_page_url":"https://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/view/1905","pdf_url":"https://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/download/1905/2739","source":{"id":"https://openalex.org/S7407075617","display_name":"International Conference Epicentrum of Economic Global Framework","issn_l":"3089-8617","issn":["3089-8617"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210154162","host_organization_name":"Universitas Pembangunan Panca Budi Medan","host_organization_lineage":["https://openalex.org/I4210154162"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3089-8617","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://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/download/1905/2739","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128797007","display_name":"Eva Mufida Padilla","orcid":"https://orcid.org/0009-0001-3079-4580","observed_orcids":["https://orcid.org/0009-0001-3079-4580"]},"institutions":[{"id":"https://openalex.org/I4210154162","display_name":"Universitas Pembangunan Panca Budi Medan","ror":"https://ror.org/051t2jr69","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210154162"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eva Mufida Padilla","raw_affiliation_strings":["Universitas Pembangunan Panca Budi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Pembangunan Panca Budi","institution_ids":["https://openalex.org/I4210154162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042125534","display_name":"Muhammad Syahputra Novelan","orcid":"https://orcid.org/0009-0002-3377-5278","observed_orcids":["https://orcid.org/0009-0002-3377-5278"]},"institutions":[{"id":"https://openalex.org/I4210154162","display_name":"Universitas Pembangunan Panca Budi Medan","ror":"https://ror.org/051t2jr69","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210154162"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Syahputra Novelan","raw_affiliation_strings":["Universitas Pembangunan Panca Budi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Pembangunan Panca Budi","institution_ids":["https://openalex.org/I4210154162"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210154162"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"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/T13399","display_name":"Unemployment and Economic Growth","score":0.7567999958992004,"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"}},"topics":[{"id":"https://openalex.org/T13399","display_name":"Unemployment and Economic Growth","score":0.7567999958992004,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.16099999845027924,"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":0.07159999758005142,"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/unemployment-forecasting","display_name":"unemployment forecasting","score":0.8159999847412109},{"id":"https://openalex.org/keywords/urban-unemployment","display_name":"urban unemployment","score":0.9430000185966492},{"id":"https://openalex.org/keywords/labor-policy","display_name":"labor policy","score":0.781000018119812},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"decision support system","score":0.7179999947547913},{"id":"https://openalex.org/keywords/random-forest-regression","display_name":"random forest regression","score":0.699999988079071},{"id":"https://openalex.org/keywords/medan","display_name":"Medan","score":0.8949999809265137},{"id":"https://openalex.org/keywords/labor-force-participation","display_name":"labor force participation","score":0.9269999861717224},{"id":"https://openalex.org/keywords/economic-growth","display_name":"economic growth","score":0.9940000176429749},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.6819999814033508},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C2778126366","wikidata":"https://www.wikidata.org/wiki/Q41171","display_name":"Unemployment","level":2,"score":0.6891000270843506},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5892000198364258},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.5507000088691711},{"id":"https://openalex.org/C2778355071","wikidata":"https://www.wikidata.org/wiki/Q1933849","display_name":"Microdata (statistics)","level":4,"score":0.5162000060081482},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4253000020980835},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.3244999945163727},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.proceeding.unpab.ac.id:article/1905","doi":null,"is_oa":true,"landing_page_url":"https://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/view/1905","pdf_url":"https://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/download/1905/2739","source":{"id":"https://openalex.org/S7407075617","display_name":"International Conference Epicentrum of Economic Global Framework","issn_l":"3089-8617","issn":["3089-8617"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210154162","host_organization_name":"Universitas Pembangunan Panca Budi Medan","host_organization_lineage":["https://openalex.org/I4210154162"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3089-8617","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.proceeding.unpab.ac.id:article/1905","doi":null,"is_oa":true,"landing_page_url":"https://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/view/1905","pdf_url":"https://proceeding.pancabudi.ac.id/index.php/ICEEGLOF/article/download/1905/2739","source":{"id":"https://openalex.org/S7407075617","display_name":"International Conference Epicentrum of Economic Global Framework","issn_l":"3089-8617","issn":["3089-8617"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210154162","host_organization_name":"Universitas Pembangunan Panca Budi Medan","host_organization_lineage":["https://openalex.org/I4210154162"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3089-8617","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.9211000204086304,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"},{"score":0.7279000282287598,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7223535552.pdf","grobid_xml":"https://content.openalex.org/works/W7223535552.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1875061881","https://openalex.org/W2016210396","https://openalex.org/W2141007997","https://openalex.org/W2203167467","https://openalex.org/W2216946510","https://openalex.org/W2610886376","https://openalex.org/W2770188460","https://openalex.org/W2770558473","https://openalex.org/W2913280151","https://openalex.org/W2981679558","https://openalex.org/W2983914586","https://openalex.org/W3123250452","https://openalex.org/W4398183007"],"related_works":["https://openalex.org/W4237028554","https://openalex.org/W7162296971","https://openalex.org/W6948122728","https://openalex.org/W3202225423","https://openalex.org/W7166540530","https://openalex.org/W4403209789","https://openalex.org/W4415029085","https://openalex.org/W7112969457","https://openalex.org/W7130955432","https://openalex.org/W4221105007"],"abstract_inverted_index":{"Urban":[0],"unemployment":[1,49,108],"is":[2,99,113],"a":[3,43,54,65,134,146,166,171,220,242],"multidimensional":[4],"policy":[5],"problem":[6],"because":[7],"its":[8],"dynamics":[9],"are":[10],"associated":[11],"not":[12],"only":[13],"with":[14,19],"economic":[15,216],"growth":[16,217],"but":[17,225],"also":[18],"labor-force":[20,102],"participation,":[21],"human":[22],"capital,":[23],"poverty,":[24],"inequality,":[25],"inflation,":[26],"entrepreneurship,":[27],"and":[28,93,152,180,196,215,247],"the":[29,33,39,74,88,111,203],"absorptive":[30],"capacity":[31],"of":[32,42,120,169,175,178,223],"local":[34],"economy.":[35],"This":[36],"study":[37,112],"evaluates":[38],"preliminary":[40],"feasibility":[41],"Random":[44,148],"Forest":[45],"Regressor":[46],"for":[47,56,80,127,219],"forecasting":[48],"in":[50,73,252],"Medan":[51,75],"City":[52,76],"as":[53,115,133,231],"foundation":[55],"an":[57,105,116],"adaptive":[58],"labor-policy":[59],"decision-support":[60],"system.":[61],"The":[62,97,138,160],"experiment":[63],"employs":[64],"structured":[66],"simulated":[67],"dataset":[68,98,251],"informed":[69],"by":[70],"indicators":[71],"contained":[72],"Medium-Term":[77],"Development":[78],"Plan":[79],"2025\u20132029.":[81],"It":[82],"comprises":[83],"20":[84],"observations,":[85],"four":[86],"subdistricts,":[87],"2020\u20132024":[89],"period,":[90],"12":[91],"predictors,":[92],"one":[94],"target":[95],"variable.":[96],"neither":[100],"official":[101,106],"microdata":[103],"nor":[104],"subdistrict-level":[107],"estimate;":[109],"accordingly,":[110],"framed":[114],"exploratory":[117],"methodological":[118],"proof":[119],"concept.":[121],"Observations":[122],"from":[123,187,192,198],"2020\u20132023":[124],"were":[125],"used":[126,163],"training,":[128],"while":[129],"2024":[130],"was":[131],"retained":[132],"temporal":[135],"test":[136,204],"set.":[137],"analytical":[139],"pipeline":[140],"incorporated":[141],"data-quality":[142],"auditing,":[143],"one-hot":[144],"encoding,":[145],"baseline":[147],"Forest,":[149],"year-grouped":[150],"cross-validation,":[151],"randomized":[153],"hyperparameter":[154],"search":[155],"over":[156],"30":[157],"candidate":[158],"configurations.":[159],"optimized":[161],"model":[162],"100":[164],"trees,":[165],"maximum":[167],"depth":[168],"3,":[170,176],"minimum":[172],"split":[173],"size":[174],"max_features":[177],"0.7,":[179],"no":[181],"bootstrap":[182],"sampling.":[183],"Optimization":[184],"reduced":[185],"MAE":[186],"0.4587":[188],"to":[189,194,200],"0.3989,":[190],"RMSE":[191],"0.4821":[193],"0.4184,":[195],"MAPE":[197],"6.9481%":[199],"6.0382%.":[201],"Nevertheless,":[202],"R\u00b2":[205],"remained":[206],"negative":[207],"at":[208],"-1.4892,":[209],"indicating":[210],"inadequate":[211],"generalization.":[212],"Labor-force":[213],"participation":[214],"accounted":[218],"combined":[221],"importance":[222],"83.99%,":[224],"these":[226],"results":[227],"must":[228],"be":[229],"interpreted":[230],"predictive":[232],"associations":[233],"rather":[234],"than":[235],"causal":[236],"effects.":[237],"Policy":[238],"deployment":[239],"therefore":[240],"requires":[241],"substantially":[243],"larger,":[244],"official,":[245],"granular,":[246],"externally":[248],"validated":[249],"longitudinal":[250],"github.com.":[253]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-25T00:00:00"}