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Dekafeinasi Menggunakan Metode Ultraviolet-Visible Spectroscopy dan PLS-DA Meinilwita Yulia; Aniessa Rinny Asnaning; Diding Suhandy
Jurnal Penelitian Pertanian Terapan Vol 18 No 1 (2018)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jppt.v18i1.1226

Abstract

This present research is an application of UV-VIS spectroscopy and SIMCA method to  distinguish robusta ground roasted coffee from Sumatera and Java. Spectral data  measurement of the filtered and diluted aqueous coffee samples was performed using a UV-VIS spectrometer (Genesys ™ 10S UV-Vis, Thermo Scientific, USA). SIMCA model was constructed for each class, SIMCA model of Sumatera robusta coffee and SIMCA model of Java robusta coffee. Prediction results show that all predictive samples are successfully grouped correctly according to their classes using the developed SIMCA model, except for S14aPA sample that fail to be classified as robusta coffee of Sumatra. Based on the results of the discriminant power plot analysis, it is concluded that in general the contribution of wavelengths between 200-350 nm is higher than that of the wavelength between 350-600 nm. Several wavelengths with very high contribution (high discriminant power value) and seen as peaks on the plot are 245 nm, 253 nm, 264 nm, 316 nm and 327 nm.
Studi Kuantifikasi Pencampuran Kopi Dekaf - Non Dekaf Menggunakan Uv-Vis Spectroscopy dan Regresi PLS Galih Pratama; Diding Suhandy; Meinilwita Yulia; Iskandar Zulkarnain
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 8, No 2 (2019): Juni
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1904.631 KB) | DOI: 10.23960/jtep-l.v8i2.86-96

Abstract

Kopi dekaf adalah kopi rendah kafein yang memerlukan proses tambahan waktu dan biaya sehingga harganya cukup mahal. Kopi dekaf biasanya dijual dalam bentuk bubuk dan sangat sulit untuk dibedakan dengan mata. Untuk itu pada penelitian ini, UV-Vis spectroscopy diujicobakan untuk mendeteksi adanya pencampuran pada kopi dekaf dengan kopi non dekaf. Bahan yang digunakan setiap sampel adalah 1 gram, dengan jumlah sampel sebanyak 100 sampel dengan komposisi dekaf : non dekaf = 10% : 90%, 20% : 80%, 30% : 70%, 40% : 60%, 50% : 50%, 60% : 40%, 70% : 30%, 80% : 20%, 90% : 10%, dan 100% dekaf murni. Pada penelitian ini menggunakan metode regresi partial least squares (PLS) dengan program The Unscrambler versi 9.2. Persamaan kalibrasi terbaik diperoleh untuk tipe spektra Smoothing S. Golay dan SNV pada panjang gelombang 250-450 nm. Persamaan ini memiliki nilai koefisien determinasi yaitu l = 0,99 dan = 0,98,  Nilai RPD 6,61 dan faktor (F) = 2, sedangkan nilai SEC = 2,1 % dan SEV = 4,4 % dengan selisih SEC dan SEV yang paling rendah yaitu 2,3%. Dengan uji beda dua sampel berpasangan pada taraf kepercayaan 95% dapat dibuktikan bahwa kandungan kopi dekaf aktual dan prediksi tidak berbeda nyata.
STUDI PENGGUNAAN UV-VIS SPECTROSCOPY UNTUK IDENTIFIKASI CAMPURAN KOPI LUWAK DENGAN KOPI ARABIKA Cicih Sugianti; Novi Apratiwi; Diding Suhandy; Mareli Telaumbanua; Sri Waluyo; Meinilwita Yulia
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 5, No 3 (2016)
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1001.667 KB) | DOI: 10.23960/jtep-l.v5i3.%p

Abstract

This study aims to identify the authentication of civet coffee using a Soft independent modeling of class analogy(SIMCA) method and principal component analysis (PCA). The test carried out on the coffee powder measuring0.297 millimeters (mesh 50). Comparison of blend that is samples 1- 50 each 1 g of pure civet coffee, samples51- 60 each 0.9 g civet coffee and 0.1 g arabica coffee, samples 61-70 each 0.8 g civet coffee and 0.2 g arabicacoffee, samples 71-80 each 0.7 g civet coffee and 0.3 g arabica coffee, samples 81-90 each 0.6 g civet coffee and0.4 g arabica coffee, samples 90-100 each 0.5 g civet coffee and 0.5 g arabica coffee. The classification resultsshow SIMCA and PCA methods are able to identify civet coffee mixture. PC 1 explains 75% the variance of dataand PC2 explains 17% the variance of data. Values obtained on SIMCA classification are specificity 76%,sensitivity of 84% and accuracy of 80%, with a value error of 23%.Keywords: Arabica coffee,civet coffee, PCA, SIMCA, UV-Vis spectroscopy.
The Quantification of Adulteration in Arabica Coffee using UV-Visible Spectroscopy in Combination with Two Different PLS Regressions Diding Suhandy; Meinilwita Yulia
Aceh International Journal of Science and Technology Vol 6, No 2 (2017): August 2017
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.719 KB) | DOI: 10.13170/aijst.6.2.8457

Abstract

Arabica coffee is being considered to be of better quality than robusta because of their superior taste and aroma. Adulteration of arabica with other cheaper coffee like robusta coffee has become a great problem related to authentication of food products. Ground coffee samples are most challenging to be discriminated each other and visual inspection by our eyes or even machine vision method becomes very difficult. For this reason, in this research we propose a new analytical method based on UV-visible spectroscopy for quantification of adulteration in arabica-robusta coffee blend. The proposed method is easy to use, low cost with affordable spectrometer and safe for environment with free-chemical analysis. A number of 100 samples was used as samples with different degree of adulteration (10-60% of robusta concentration in arabica-robusta coffee blend). Spectral data of aqueous samples was obtained using a UV-visible spectroscopy in the range 200-400 nm. The result shows that calibration model using selected subintervals (iPLS model) can improve the prediction performance of calibration model using full spectrum (FS-PLS). It is noted that iPLS model removed wavelengths that is not related to the quantification of adulteration in arabica-robusta coffee blend. This study has shown a potential application of using UV-visible spectroscopy for simple and low cost tool to detect the authentication of arabica coffees
OPTIMALISASI MEDIA ONLINE SEBAGAI SOLUSI PROMOSI PRODUK GAPOKTAN TRIGUNA 4.5 BERBASIS BAHAN BAKU KOPI Analianasari, Analianasari; Eko Win Kenali; Dayang Berliana; Meinilwita Yulia; M. Perdiansyah M harahap
Qardhul Hasan: Media Pengabdian kepada Masyarakat Vol. 9 No. 3 (2023): DESEMBER
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/qh.v9i3.6891

Abstract

Tujuan kegiatan adalah (1) Meningkatkan pengetahuan anggota gapoktan 4.5 dalam memanfaatkan media online berbasis Web, (2) mengoptimalkan media social Intagram, sebagai promosi produk, dan (3) mengoptimalkan e-commerce sebagai media penjualan produk Gapoktan. Metode yang digunakan dalam pelaksanaan kegiatan adalah penyuluhan, diskusi untuk memecahkan masalah, demontrasi cara untuk meningkatkan keterampilan peserta. Pengembangan web portal link https://raosan.id/ sebagai media informasi tentang Gapoktan Triguna 4.5 dan produk raosan; Pemanfaatan media sosial seperti Instagram sebagai media promosi produk raosan dan media komunikasi dengan konsumen untuk meningkatkan kunjungan dan penjualan pada laman https://instagram.com/kopi_raosan; dan optimalisasi pemanfaatan market place nasional seperti Tokopedia dan Shopee oleh tim marketing Raosan dengan membuka layanan toko online sebagai seller untuk menjual produk raosan ditingkat nasional