?url_ver=Z39.88-2004&rft_id=1414071032&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENGGUNAAN+TEKNOLOGI+UV-Vis+SPECTROSCOPY+UNTUK+MEMBEDAKAN+JENIS+KOPI+BUBUK+ARABIKA+GAYO+WINE+DAN+KOPI+BUBUK+ARABIKA+GAYO+BIASA&rft.creator=ENY+SUPRIYANTI+%2C+1414071032&rft.subject=Pertanian+(+Umum+)&rft.description=Salah+satu+kopi+spesialti+Indonesia+adalah+kopi+Arabika+Gayo+wine+yang+merupakan+varietas+hasil+seleksi+yang+dikembangkan+oleh+petani+Indonesia.+Penelitian+ini+merupakan+penelitian+kualitatif+yang+bertujuan+untuk+membangun+dan+menguji+model+diskriminasi+untuk+mengidentifikasi+dan+mengklasifikasikan+kopi+bubuk+Arabika+Gayo+wine+dan+kopi+bubuk+Arabika+Gayo+biasa.%0D%0AKomposisi+bahan+yang+digunakan+dalam+penelitian+ini+yaitu+1+gram+dengan+jumlah+100+sampel+kopi+bubuk+Gayo+wine%2C+dan+100+sampel+kopi+bubuk+Gayo+biasa.+Pengujian+dilakukan+pada+bubuk+kopi+berukuran+0%2C297+milimeter+(mesh+50).+Setiap+sampel+diekstraksi+menggunakan+air+aquades+dengan+suhu+90-98%C2%BAC%2C+kemudian+disaring+menggunakan+kertas+saring+dan+diencerkan+menggunakan+aquades+dengan+perbandingan+1%3A20.+Pengambilan+spektra+pada+sampel+hasil+ekstraksi+dilakukan+sebanyak+2+kali+pengulangan+untuk+setiap+sampel+menggunakan+Spektrometer+UV-Vis+Genesis+10s+pada+rentang+panjang%0D%0Av%0D%0Agelombang+190-1100+nm.+Setelah+didapatkan+data+absorban%2C+kemudian+dilakukan+penggabungan+data+absorban+kopi+Gayo+wine+dan+kopi+Gayo+biasa+ke+dalam+Microsoft+Excell+yang+kemudian+akan+diolah+menggunakan+software+The+Unscrambler+versi+9.2.%0D%0AData+spektra+diolah+menggunakan+metode+principal+component+analysis+(PCA)+untuk+melihat+pengelompokkan+seluruh+data.+Setelah+itu+dilakukan+pengembangan+model+yang+bertujuan+untuk+memperoleh+data+berupa+grafik+dari+hasil+kalibrasi%2C+validasi+dan+prediksi+menggunakan+metode+soft+independent+modeling+of+class+analogy+(SIMCA).+Selanjutnya+dilakukan+perbaikan+data+menggunakan+beberapa+metode+yaitu+smoothing%2C+moving+average%2C+normalize%2C+Savitzky-Golay+first+derivative%2C+Savitzky-Golay+second+derivative%2C+multiplicative+scatter+correction+(MSC)%2C+dan+standar+normal+variate+(SNV).+Hasil+klasifikasi+terbaik+yang+diperoleh+yaitu+pada+tipe+pengembangan+MSC+dan+moving+average+9+segmen+yang+berhasil+menjelaskan+nilai+keragaman+data+dengan+nilai+PC1+97%25+dan+PC2+3%25.+Sedangkan+untuk+klasifikasi+data+diperoleh+nilai+akurasi+(AC)+100%25%2C+spesifisitas+(SP)+100%25%2C+dan+sensitivitas+(S)+100%25%2C+dengan+nilai+eror+(FP)+0%25.+Berdasarkan+hasil+ini+pada+semua+pengujian.+maka+model+SIMCA+yang+dibangun+dapat+mengidentifikasi+dan+mengklasifikasikan+sampel+kopi+prediksi+ke+dalam+kelas+yang+sesuai+dengan+baik.+Sehingga+kopi+Arabika+Gayo+wine+dan+kopi+Arabika+Gayo+biasa+dapat+dibedakan+dengan+menggunakan+UV-Vis+spectroscopy+dan+metode+SIMCA.%0D%0AKata+Kunci+%3A+Kopi+Arabika+Gayo+wine.+kopi+Arabika+Gayo+biasa%2C+moving+average%2C+MSC%2C+PCA%2C+SIMCA%2C+UV-Vis+Spectroscopy.%0D%0A%0D%0Aabstract%0D%0A%0D%0AOne+of+the+specialty+coffee+of+Indonesian+is+wine+Arabica+Gayo+coffee+which+is+a+variety+of+selection+result+developed+by+Indonesian+farmers.+This+research+is+qualitative+research+aimed+to+develope+and+evaluate+model+of+discrimination+to+identify+and+classify+of+ground+roasted+Arabica+wine+Gayo+coffee+and+ground+roasted+Arabica+normal+Gayo+coffee.%0D%0AThe+composition+of+the+material+used+in+this+research+is+1+gram+with+the+total+sample+of+100+of+ground+roasted+Arabica+wine+Gayo+coffee%2C+and+100+of+ground+roasted+Arabica+normal+coffee.+The+research+was+conducted+on+the+ground+roasted+coffee+with+particle+size+of+0%2C297+millimeters+(mesh+50).+Every+samples+of+coffee+extracted+using+aquades+water+with+the+temperature+of+90-98%C2%BAC%2C+and+then+extracted+samples+filtered+with+filter+paper+and+diluted+with+aquades+water+by+comparison+1%3A20.+Each+spectrum+of+aqueus+samples+was+measured+twice+treatment+to+each+sample+using+UV-Vis+spectroscopy+Genesys+10s+in+wavelength%0D%0Aiii%0D%0Arange+of+190-1100+nm.+After+obtaining+absorbance+data%2C+then+put+all+absorbance+data+of+wine+Gayo+coffee+and+normal+Gayo+Coffee+into+Microsoft+Excell+which+will+then+be+processed+using+The+Unscrambler+version+9.2+software.%0D%0ASpectra+data+were+processed+using+principal+component+analysis+(PCA)+method+to+see+clustering+all+data.+After+that%2C+model+development+was+conducted+in+order+to+obtained+data+in+the+form+of+graph+calibraton%2C+validation%2C+and+prediction+using+soft+independent+modeling+of+class+analogy+(SIMCA)+method.+Furtheremore%2C+the+spectra+data+was+repaired+using+pretreatment+method+of+smoothing%2C+moving+average%2C+normalize%2C+Savitzky-Golay+first+derivative%2C+Savitzky-Golay+second+derivative%2C+multiplicative+scatter+correction+(MSC)%2C+and+standar+normal+variate+(SNV).+The+best+classification+result+was+obtained+method+of+MSC+and+moving+average+9+segmen+which+can+explains+the+values+of+various+data+with+value+PC1+97%25+and+PC2+3%25.+Data+classification+obtained+the+values+of+accuracy(AC)+100%25%2C+specificity(SP)+100%25%2C+and+sensitivity(S)+100%25+with+a+value+error+(FP)+of+0%25.+Based+on+these+results+on+all+tests%2C+the+SIMCA+model+built+can+identify+and+classify+prediction+coffee+samples+into+corresponding+class+with+accepted+result.+So+ground+roasted+Arabica+wine+Gayo+coffee+and+ground+roasted+Arabica+normal+Gayo+coffee+can+be+distinguished+using+UV-Vis+spectroscopy+and+SIMCA+method.%0D%0AKeywords+%3A+Normal+Gayo+Arabika+coffee%2C+Moving+Average%2C+MSC%2C+PCA%2C+SIMCA%2C+Wine+Gayo+Arabika+coffee%2C+UV-Vis+Spectroscopy.&rft.publisher=FAKULTAS+PERTANIAN+&rft.date=2018-08-20&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F33833%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F33833%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F33833%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ENY+SUPRIYANTI+%2C+1414071032++(2018)+PENGGUNAAN+TEKNOLOGI+UV-Vis+SPECTROSCOPY+UNTUK+MEMBEDAKAN+JENIS+KOPI+BUBUK+ARABIKA+GAYO+WINE+DAN+KOPI+BUBUK+ARABIKA+GAYO+BIASA.++FAKULTAS+PERTANIAN+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F33833%2F