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<http://digilib.unila.ac.id/id/eprint/87038> <http://purl.org/dc/terms/title> "UJI KEMURNIAN KOPI BUBUK LUWAK (paradoxurus hermaphrodites)\r\nMENGGUNAKAN METODE UV-VIS SPEKTROSKOPI DAN SIMCA"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/87038> <http://purl.org/ontology/bibo/abstract> "Indonesia memiliki sumber daya alam yang sangat melimpah salah\r\nsatunya dari sektor perkebunan yang memiliki keaneragaman hasil seperti kopi,\r\nteh, kakao, sawit dan lain sebagainya. Kopi sendiri di Indonesia memiliki\r\nbeberapa jenis, namun yang paling terkenal adalah arabika dan robusta. Pada\r\npenelitian ini saya menggunakan kopi jenis luwak robusta, dimana jenis kopi ini\r\nsudah dimakan oleh hewan luwak dan sudah melalui proses pencernaan hewan\r\nluwak. Kopi luwak di Indonesia masih tergolong kopi dengan harga jual yang\r\ntinggi. Sehingga banyak oknum yang melakukan pemalsuan terhadap keaslian\r\nkopi luwak yang dicampur dengan beras atau bahan lainnya. Penelitian ini\r\nmenggunakan metode UV-Vis spektroskopi dan SIMCA untuk mengidentifikasi\r\nkeaslian kopi luwak yang dicampur dengan beras.\r\n\r\nSampel yang digunakan sebanyak 150 sampel yang terdiri daridua jenis\r\nkopi luwak Papandayan dan Cikuray dan terbagi menjadi 25 sampel kopi luwak\r\nPapandayan asli, 50 sampel kopi luwak Papandayan campuran beras 10%-50%,\r\n25 sampel kopi luwak Cikuray asli dan 50 sampel kopi luwak Cikuray campuran\r\nberas 10%-50%. Sebelum dilakukan pengambilan spektra, ada beberapa yahapan\r\nyang harus dilakukan terlebih dahulu antara lain penimbangan sampel, pembuatan\r\nlarutan, pengadukan, penyaringan, pengenceran sampel, kemudian dilakukan\r\npengambilan spektra menggunakan UV-Vis spektroskopi dan membuat model\r\nserta mengujinya dengan metode PCA dan SIMCA. Hasil pengujian PCA ori pada\r\nkopi Papandayan dan Cikuray diperoleh hasil PC1 dan PC2 sebesar 100%. Hasil\r\nPCA terbaik diperoleh dengan dengan cara perbaikan spektra menggunakan\r\npreatreatment Savitzky-Golay Smoothing 9 segmen dengan jumlah nilai PC1 dan\r\nPC2 sebesar 100%. Kemudian, hasil klasifikasi model SIMCA PA dan PC\r\ndiperoleh nilai akurasi 80%, sensitivitas 100%, spesifisitas 64% dan error 20%,\r\nsedangkan untuk hasil klasifikasi model SIMCA CA dan CC diperoleh nilai\r\nakurasi 80,8%, sensitivitas 86,7%, spesifisitas 72,7% dan error 19,2%.\r\nBerdasarkan hubungan analisis spesifisitas dan sensitivitas yang disajikan dalam\r\nbentuk kurva ROC, hasil klasifikasi PA dan PC serta CA dan CC dikategorikan\r\nmempunyai nilai baik.\r\n\r\nKata Kunci: Kopi luwak Papandayan, Kopi luwak Cikuray, UV-Vis\r\n\r\nspektroskopi, beras, PCA, SIMCA\r\nIndonesia has very abundant natural resources, one of which is the\r\nplantation sector which has a diversity of products such as coffee, tea, cocoa, palm\r\noil and so on. There are several types of coffee in Indonesia, but the most famous\r\nare Arabica and Robusta. In this research, I used Luwak Robusta coffee, where\r\nthis type of coffee has been eaten by civet animals and has gone through the civet\r\nanimal's digestive process. Luwak coffee in Indonesia is still classified as coffee\r\nwith a high selling price. So many individuals falsify the authenticity of Luwak\r\ncoffee by mixing it with rice or other ingredients. This research uses UV-Vis\r\nspectroscopy and SIMCA methods to identify the authenticity of Luwak coffee\r\nmixed with rice.\r\n\r\nThe samples used were 150 samples consisting of two types of\r\nPapandayan and Cikuray civet coffee and were divided into 25 samples of original\r\nPapandayan civet coffee, 50 samples of Papandayan civet coffee mixed with 10%\r\n- 50% rice, 25 samples of original Cikuray civet coffee and 50 samples of Cikuray\r\ncivet coffee. rice mixture 10%-50%. Before taking the spectra, there are several\r\nsteps that must be done first, including weighing the sample, making a solution,\r\nstirring, filtering, diluting the sample, then taking the spectra using UV-Vis\r\nspectroscopy and making a model and testing it using the PCA and SIMCA\r\nmethods. The original PCA test results on Papandayan and Cikuray coffee\r\n\r\nvii\r\nobtained PC1 and PC2 results of 100%. The best PCA results were obtained by\r\nimproving the spectra using Savitzky-Golay Smoothing pretreatment for 9\r\nsegments with a total PC1 and PC2 value of 100%. Then, the classification results\r\nof the SIMCA PA and PC models obtained accuracy values of 80%, sensitivity\r\n100%, specificity 64% and error 20%, while for the classification results of the\r\nSIMCA CA and CC models obtained accuracy values of 80.8%, sensitivity\r\n86.7%, specificity 72.7% and error 19.2%. Based on the relationship between\r\nspecificity and sensitivity analysis presented in the form of a ROC curve, the\r\nclassification results of PA and PC as well as CA and CC were categorized as\r\nhaving good value.\r\n\r\nKeywords: Papandayan civet coffee, Cikuray civet coffee, UV-Visspectroscopy,\r\n\r\nrice, PCA, SIMCA"^^<http://www.w3.org/2001/XMLSchema#string> .
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<http://digilib.unila.ac.id/id/document/2372804> <http://eprints.org/relation/issmallThumbnailVersionOf> <http://digilib.unila.ac.id/id/document/2372782> .
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<http://digilib.unila.ac.id/id/document/2372806> <http://eprints.org/relation/ispreviewThumbnailVersionOf> <http://digilib.unila.ac.id/id/document/2372781> .
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<http://digilib.unila.ac.id/id/document/2372807> <http://eprints.org/relation/ismediumThumbnailVersionOf> <http://digilib.unila.ac.id/id/document/2372781> .
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<http://digilib.unila.ac.id/id/document/2372808> <http://eprints.org/relation/issmallThumbnailVersionOf> <http://digilib.unila.ac.id/id/document/2372781> .
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