?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PEMETAAN+SEBARAN+ASAL+SISWA+DAN+KLASIFIKASI+JARAK+ASAL%0D%0ASISWA+SMA+NEGERI+DI+KABUPATEN+PRINGSEWU%0D%0AMENGGUNAKAN+METODE+NA%C3%8FVE+BAYES&rft.creator=+RISKA+APRILIA+%2C+1217051061&rft.subject=+&rft.subject=Teknologi+(General)&rft.description=ABSTRAK%0D%0A%0D%0AJarak+siswa+dapat+diketahui+dari+data+asal+siswa+yang+tersimpan.+Asal+siswa+yang%0D%0Aberbeda-beda+akan+menghasilkan+jarak+yang+berbeda+pula.+Penelitian+ini%0D%0Adilakukan+untuk+mengetahui+klasifikasi+jarak+asal+siswa+yang+tersimpan+di+SMA%0D%0Anegeri+di+Kabupaten+Pringsewu.+Jarak+asal+siswa+diklasifikasikan+untuk%0D%0Amendapatkan+lima+class%2Fkategori+yaitu+sangat+dekat%2C+dekat%2C+sedang%2C+cukup+jauh%2C%0D%0Adan+jauh+dengan+menggunakan+atribut+nomor%2C+SMA%2C+kabupaten%2C+kecamatan%2C%0D%0Akelurahan%2C+jarak%2C+asal+SMP%2C+dan+class.+Klasifikasi+dilakukan+dengan+menggunakan%0D%0Ametode+Naive+Bayes+dengan+menggunakan+tool+Weka.+Pembagian+data+training%0D%0Adan+data+testing+yang+berbeda+sebanyak+20+kali+pengujian+menghasilkan+akurasi%0D%0ANa%C3%AFve+Bayes+tertinggi+yaitu+89.329%25+pada+pembagian+data+training+60%25+dan+data%0D%0Atesting+40%25.+Data+asal+siswa+dan+informasi+hasil+klasifikasi+ditampilkan+dalam%0D%0Abentuk+peta+digital+yaitu+peta+sebaran+asal+siswa+SMA+negeri+di+Kabupaten%0D%0APringsewu.%0D%0AKata+Kunci%3A+Klasifikasi%2C+Na%C3%AFve+Bayes%2C+Jarak+Siswa%2C+Sebaran+Siswa%0D%0A%0D%0AABSTRACT%0D%0ADistance+students+can+be+seen+from+the+data+stored+student's+address.+Address+high%0D%0Aschool+students+in+the+Pringsewu+District+have+different+distances.+This+research%0D%0Awas+conducted+to+determine+the+classification+of+the+distance+stored+in+high+school%0D%0Astudents+in+the+Pringsewu+District.+Distance+students+are+classified+to+obtain+five%0D%0Acategories%3A+%E2%80%9Csangat+dekat%E2%80%9D%2C+%E2%80%9Cdekat%E2%80%9D%2C+%E2%80%9Csedang%E2%80%9D%2C+%E2%80%9Ccukup+jauh%E2%80%9D%2C+and+%E2%80%9Cjauh%E2%80%9D+by+using%0D%0Aeight+attributes+are+%E2%80%9Cnomor%E2%80%9D%2C+%E2%80%9CSMA%E2%80%9D%2C+%E2%80%9Ckabupaten%E2%80%9D%2C+%E2%80%9Ckecamatan%E2%80%9D%2C+%E2%80%9Ckelurahan%E2%80%9D%2C%0D%0A%E2%80%9Cjarak%E2%80%9D%2C+%E2%80%9Casal+SMP%E2%80%9D%2C+and+%E2%80%9Cclass%E2%80%9D.+The+classification+performed+by+using+Naive%0D%0ABayes+using+Weka+tool.+Distribution+of+training+data+and+testing+data+is+different%0D%0Aas+much+as+20+times+of+testing%2C+resulting+in+the+highest+accuracy+Na%C3%AFve+Bayes+is%0D%0A89.329%25+on+distribution+of+60%25+training+data+%3A+40%25+testing+data.+The+data+of%0D%0Astudents+address+and+information+classification+results+displayed+in+the+form+of%0D%0Adigital+map+that+is+mapping+of+student%E2%80%99s+address+in+high+school+in+the+Pringsewu%0D%0ADistrict.%0D%0AKeywords%3A+Classification%2C+Mapping+Students%2C+Na%C3%AFve+Bayes%2C+Distance+Students.%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2017-02-02&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F25624%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F25624%2F3%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F25624%2F2%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=+++RISKA+APRILIA+%2C+1217051061++(2017)+PEMETAAN+SEBARAN+ASAL+SISWA+DAN+KLASIFIKASI+JARAK+ASAL+SISWA+SMA+NEGERI+DI+KABUPATEN+PRINGSEWU+MENGGUNAKAN+METODE+NA%C3%8FVE+BAYES.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F25624%2F