{"id":"https://openalex.org/W4415543736","doi":"https://doi.org/10.59934/jaiea.v5i1.1779","title":"Classification of Culinary Product Sales at Tenant 1 of PT. Usaha Mitra Milenial Using KNN","display_name":"Classification of Culinary Product Sales at Tenant 1 of PT. Usaha Mitra Milenial Using KNN","publication_year":2025,"publication_date":"2025-10-15","ids":{"openalex":"https://openalex.org/W4415543736","doi":"https://doi.org/10.59934/jaiea.v5i1.1779"},"language":"en","primary_location":{"id":"doi:10.59934/jaiea.v5i1.1779","doi":"https://doi.org/10.59934/jaiea.v5i1.1779","is_oa":true,"landing_page_url":"https://doi.org/10.59934/jaiea.v5i1.1779","pdf_url":"https://ioinformatic.org/index.php/JAIEA/article/download/1779/1218","source":{"id":"https://openalex.org/S4387290608","display_name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","issn_l":"2808-4519","issn":["2808-4519"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","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://ioinformatic.org/index.php/JAIEA/article/download/1779/1218","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120133501","display_name":"Faiz Amrizal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210139646","display_name":"Universitas Muhammadiyah Sumatera Utara","ror":"https://ror.org/03ve0eh58","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210139646"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Faiz Amrizal","raw_affiliation_strings":["Universitas Muhammadiyah Sumatera Utara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Sumatera Utara","institution_ids":["https://openalex.org/I4210139646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030909342","display_name":"Fatma Sari Hutagalung","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210139646","display_name":"Universitas Muhammadiyah Sumatera Utara","ror":"https://ror.org/03ve0eh58","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210139646"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Fatma Sari Hutagalung","raw_affiliation_strings":["Universitas Muhammadiyah Sumatera Utara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Sumatera Utara","institution_ids":["https://openalex.org/I4210139646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210139646"],"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":"5","issue":"1","first_page":"2007","last_page":"2012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":1.0,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0,"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"}},{"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/culinary-products","display_name":"culinary products","score":0.9120000004768372},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.7639999985694885},{"id":"https://openalex.org/keywords/data-normalization","display_name":"data normalization","score":0.871999979019165},{"id":"https://openalex.org/keywords/min-max-scaling","display_name":"min-max scaling","score":0.8809999823570251},{"id":"https://openalex.org/keywords/z-score-standardization","display_name":"Z-score standardization","score":0.9900000095367432},{"id":"https://openalex.org/keywords/sales-performance","display_name":"sales performance","score":0.5929999947547913},{"id":"https://openalex.org/keywords/inventory-planning","display_name":"inventory planning","score":0.8769999742507935},{"id":"https://openalex.org/keywords/sales-forecasting","display_name":"sales forecasting","score":0.9169999957084656}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6744999885559082},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5223000049591064},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.49880000948905945},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4489000141620636},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C2984642479","wikidata":"https://www.wikidata.org/wiki/Q7404320","display_name":"Sales forecasting","level":2,"score":0.40380001068115234},{"id":"https://openalex.org/C139749660","wikidata":"https://www.wikidata.org/wiki/Q5657855","display_name":"Sales management","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36320000886917114},{"id":"https://openalex.org/C2991860356","wikidata":"https://www.wikidata.org/wiki/Q126793","display_name":"Retail sales","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C147101817","wikidata":"https://www.wikidata.org/wiki/Q13443840","display_name":"Product category","level":3,"score":0.3061000108718872},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2689000070095062},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2671999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.59934/jaiea.v5i1.1779","doi":"https://doi.org/10.59934/jaiea.v5i1.1779","is_oa":true,"landing_page_url":"https://doi.org/10.59934/jaiea.v5i1.1779","pdf_url":"https://ioinformatic.org/index.php/JAIEA/article/download/1779/1218","source":{"id":"https://openalex.org/S4387290608","display_name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","issn_l":"2808-4519","issn":["2808-4519"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.59934/jaiea.v5i1.1779","doi":"https://doi.org/10.59934/jaiea.v5i1.1779","is_oa":true,"landing_page_url":"https://doi.org/10.59934/jaiea.v5i1.1779","pdf_url":"https://ioinformatic.org/index.php/JAIEA/article/download/1779/1218","source":{"id":"https://openalex.org/S4387290608","display_name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","issn_l":"2808-4519","issn":["2808-4519"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329492","display_name":"Urmia University of Medical Sciences","ror":"https://ror.org/03jbsdf87"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415543736.pdf","grobid_xml":"https://content.openalex.org/works/W4415543736.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4415106225","https://openalex.org/W7131246135","https://openalex.org/W4386815831","https://openalex.org/W2383668047","https://openalex.org/W4312138714","https://openalex.org/W2768055745","https://openalex.org/W4411858703","https://openalex.org/W4402814301","https://openalex.org/W4388016384","https://openalex.org/W3108523415"],"abstract_inverted_index":{"This":[0],"study":[1],"aims":[2],"to":[3,68],"classify":[4],"the":[5,20,33,36,70,109],"sales":[6,55,125,165],"performance":[7],"of":[8,14,35,100,120,149],"culinary":[9],"products":[10],"at":[11],"Tenant":[12],"1":[13],"PT.":[15],"Usaha":[16],"Mitra":[17],"Milenial":[18],"using":[19,84,93],"K-Nearest":[21],"Neighbors":[22],"(KNN)":[23],"algorithm.":[24],"The":[25,75,105,147],"research":[26],"focuses":[27],"on":[28],"how":[29],"normalization":[30,58,138],"techniques":[31],"influence":[32],"accuracy":[34,94,119],"classification":[37,97,118,145],"process.":[38],"Data":[39],"were":[40,66,77],"collected":[41],"from":[42],"150":[43],"recorded":[44],"transactions":[45],"containing":[46],"attributes":[47],"such":[48],"as":[49],"product":[50,124],"name,":[51],"transaction":[52],"time,":[53],"and":[54,63,81,88,95,103,131,143,164],"amount.":[56],"Two":[57],"methods,":[59],"namely":[60],"Min\u2013Max":[61],"Scaling":[62],"Z-Score":[64],"Standardization,":[65],"applied":[67],"standardize":[69],"dataset":[71],"before":[72],"model":[73,89,111,141,151],"training.":[74],"data":[76,137],"divided":[78],"into":[79,126],"training":[80],"testing":[82],"sets":[83],"an":[85],"80:20":[86],"ratio,":[87],"evaluation":[90],"was":[91],"conducted":[92],"a":[96,117],"report":[98],"consisting":[99],"precision,":[101],"recall,":[102],"F1-score.":[104],"experiment":[106],"demonstrated":[107],"that":[108,136],"KNN":[110],"with":[112],"K":[113],"=":[114],"5":[115],"achieved":[116],"100%,":[121],"successfully":[122],"distinguishing":[123],"three":[127],"categories:":[128],"high,":[129],"medium,":[130],"low.":[132],"These":[133],"findings":[134],"show":[135],"significantly":[139],"enhances":[140],"consistency":[142],"improves":[144],"reliability.":[146],"application":[148],"this":[150],"provides":[152],"valuable":[153],"insight":[154],"for":[155],"business":[156],"owners":[157],"in":[158],"optimizing":[159],"inventory":[160],"planning,":[161],"pricing":[162],"strategies,":[163],"forecasting.":[166]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-10-25T00:00:00"}