?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=CLUSTERING+METHOD+OF+DENSITY-BASED+SPATIAL+CLUSTERING%0D%0AOF+APPLICATION+WITH+NOISE+(DBSCAN)+AND+K-MEANS+IN%0D%0ACLUSTERING+PROVINCES+BASED+ON+FACTORS+THAT+CAUSE%0D%0A%0D%0ASTUNTING+IN+INDONESIA&rft.creator=NADIA+%2C+ATHIYAH+PUTRI&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Clustering+is+a+technique+used+to+group+data+with+similar+characteristics+within%0D%0Aeach+cluster.+There+are+several+clustering+methods+available%2C+such+as+K-Means%0D%0Aand+DBSCAN.+K-Means+is+a+clustering+algorithm+that+partitions+data+into+several%0D%0Aclusters%2C+while+DBSCAN+builds+clusters+based+on+connected+densities.+This%0D%0Aresearch+will+use+K-Means+and+DBSCAN+clustering+methods+to+perform%0D%0Aclustering+with+stunting+causal+factor+data+and+simulated+data+as+a+consideration+of%0D%0Athe+performance+of+both+methods.+The+results+obtained+on+the+data+of+the+factors%0D%0Athat+cause+stunting%2C+the+K-Means+method+has+better+performance+based+on+the+SI%0D%0Avalue+of+0.5253+and+the+CH+value+of+26.0940.+While+in+simulation+data+where+the%0D%0Adata+is+normally+distributed+and+does+not+contain+outliers%2C+the+DBSCAN+method%0D%0Ahas+better+performance+based+on+the+SI+value+of+0.6495+and+the+CH+value+of%0D%0A328.0302.%0D%0A%0D%0AKata+kunci+%3A+Clustering%2C+K-Means%2C+DBSCAN%2C+Stunting.%0D%0A%0D%0AABSTRAK%0D%0A%0D%0AKLASTERISASI+METODE+DENSITY-BASED+SPATIAL+CLUSTERING+OF%0D%0AAPPLICATION+WITH+NOISE+(DBSCAN)+DAN+K-MEANS+DALAM%0D%0APENGELOMPOKAN+PROVINSI+BERDASARKAN+FAKTOR+PENYEBAB%0D%0A%0D%0ASTUNTING+DI+INDONESIA%0D%0A%0D%0AOleh%0D%0A%0D%0ANADIA+ATHIYAH+PUTRI%0D%0A%0D%0AClustering+adalah+teknik+yang+digunakan+untuk+mengelompokkan+data+dengan%0D%0Akarakteristik+yang+sama+dalam+setiap+cluster.+Ada+beberapa+metode+clustering%0D%0Ayang+tersedia%2C+seperti+K-Means+dan+DBSCAN.+K-Means+adalah+algoritma%0D%0Aclustering+yang+mempartisi+data+ke+dalam+beberapa+cluster%2C+sedangkan+DBSCAN%0D%0Amembangun+cluster+berdasarkan+densitas+yang+terhubung.+Penelitian+ini+akan%0D%0Amenggunakan+metode+clustering+K-Means+dan+DBSCAN+untuk+melakukan%0D%0Aclustering+dengan+data+faktor+penyebab+stunting+dan+data+simulasi+sebagai%0D%0Apertimbangan+performa+dari+kedua+metode.+Hasil+yang+diperoleh+pada+data+faktor%0D%0Apenyebab+stunting+metode+K-Means+memiliki+performa+yang+lebih+baik%0D%0Aberdasarkan+nilai+SI+sebesar+0.5253+dan+nilai+CH+sebesar+26.0940.+Sedangkan%0D%0Apada+data+simulasi+dimana+data+tersebut+berdistribusi+normal+dan+tidak%0D%0Amengandung+pencilan+metode+DBSCAN+memiliki+performa+yang+lebih+baik%0D%0Aberdasarkan+nilai+SI+sebesar+0%2C6495+dan+nilai+CH+sebesar+328%2C0302.%0D%0AKata+kunci+%3A+Clustering%2C+K-Means%2C+DBSCAN%2C+Stunting.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-07-01&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86808%2F1%2FABSTRAK%2520-%2520Nadii%2520Ptr.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86808%2F2%2FSKRIPSI%2520FULL%2520-%2520Nadii%2520Ptr.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86808%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520Nadii%2520Ptr.pdf&rft.identifier=++NADIA+%2C+ATHIYAH+PUTRI++(2024)+CLUSTERING+METHOD+OF+DENSITY-BASED+SPATIAL+CLUSTERING+OF+APPLICATION+WITH+NOISE+(DBSCAN)+AND+K-MEANS+IN+CLUSTERING+PROVINCES+BASED+ON+FACTORS+THAT+CAUSE+STUNTING+IN+INDONESIA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F86808%2F