Anggraeni, Karina (2016) Analisis Penciri Spektral Biji Hijau Arabika Dan Robusta Menggunakan LIBS (laser-induced breakdown spectroscopy). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
2414105021-undergraduate theses.pdf - Accepted Version Download (3MB) | Preview |
Preview |
Text
2414105021-paperpdf.pdf - Accepted Version Download (761kB) | Preview |
Preview |
Text
2414105021-presentationpdf.pdf - Presentation Download (2MB) | Preview |
Abstract
Kopi merupakan salah satu komoditas di dunia yang dibudidayakan lebih dari 50 negara. Produksi kopi di Indonesia menempati peringkat ke 4 di bawah Brazil, Vietnam dan Colombia. Kopi yang dibudidayakan di Indonesia secara umum ada dua jenis yaitu kopi robusta dan kopi arabika. Komposisi unsur pada jenis kopi arabika dan robusta ini berbeda. Para tester kopi dapat membedakan kopi arabika dan robusta yang dapat diketahui dari rasanya tetapi penilaian tester ini sangat subjektif. Laser-Induced Breakdown Spectroscopy (LIBS) adalah sebuah teknik analisis berdasarkan spektroskopi dari mikro plasma yang diinduksi pada permukaan uji dengan pulsa laser. Pada penelitian ini dilakukan analisis penciri spektral dari biji kopi hijau arabika dan robusta yang berasal dari Malang, Bondowoso, Pasuruan dan Prigen dengan menggunakan Laser-Induced Breakdown Spectroscopy (LIBS). Hasil pengujian diperoleh kondisi optimum untuk pengujian biji kopi hijau menggunakan LIBS dengan energi 120 mJ dan delay time 1,0 μs. Pada biji kopi hijau arabika dan robusta mengandung unsur Ca, W, Sr, Mg, Be, Na, H, N, K, Rb dan O. Metode analisis diskriminan dapat diterapkan untuk membedakan biji kopi hijau arabika dan robusta. Unsur penciri dari biji kopi hijau arabika dan robusta adalah Ca, W, Mg, Be, Na dan Sr. Unsur yang paling banyak terkandung dalam biji kopi hijau adalah Ca sehingga unsur Ca merupakan unsur utama penyusun dalam biji kopi hijau. Pengujian depth profile menunjukan bahwa unsur Ca di biji kopi hijau homogen. ========== Coffee is one of the commodities in the world’s commodity, that is cultivated in more than 50 countries. Production of coffee in Indonesia is positioned of fourth rank in the world, after Brazil, Vietnam, and Colombia. There are two varieties coffee grown in Indonesia, which are the arabica and robusta. The chemical compositions between arabica and robusta are different each other. A trained coffee tester can distinguish these differences from its taste, but it is very subjective. Laser-Induced Breakdown Spectroscopy (LIBS) is a spectroscopic technique based on the analysis of micro-plasma induced on the surface sample after being shot with a laser pulse. In this study, elemental spectra acquired using Laser-Induced Breakdown Spectroscopy (LIBS) technique were analyzed to differentate between green coffee beans of arabica and robusta, which are collected from plantations in Malang, Bondowoso, Prigen, and Pasuruan. Results show that optimum conditions for acquiring spectra from green coffee beans using LIBS are at 120 mJ of laser energy and 1,0 μs of delay time. Green coffee beans of arabica and robusta contain some elements such as Ca, W, Sr, Mg, Be, Na, H, N, K, Rb, and O. Discriminant analysis method was then applied to distinguish the green beans of arabica and robusta coffee. Element identifier of green coffee beans arabica and robusta are Ca, W, Mg, Be, Na and Sr. Element identifiers of green coffee beans are Ca, W, Mg, Be, Na, and Sr. The abundant element in green coffee beans is Calcium (Ca), and depth-profile testing shows that Ca is homogeneous inside the beans.
Item Type: | Thesis (Undergraduate) |
---|---|
Additional Information: | RSF 621.361 Ang a 2016 3100016066315 |
Uncontrolled Keywords: | Green coffee beans, arabica and robusta, LIBS, element identifier, biji kopi hijau, arabika dan robusta, LIBS, unsur penciri |
Subjects: | Q Science > QC Physics > QC451 Spectroscopy |
Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
Depositing User: | - Davi Wah |
Date Deposited: | 29 Oct 2019 02:40 |
Last Modified: | 29 Oct 2019 02:40 |
URI: | http://repository.its.ac.id/id/eprint/71227 |
Actions (login required)
View Item |