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Yulia, Meinilwita
Jurusan Teknologi Pertanian, Politeknik Negeri Lampung, Jl. Soekarno Hatta No. 10, Rajabasa Bandar Lampung, Lampung
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PENGARUH UKURAN PARTIKEL KOPI BUBUK PADA PROSES DISKRIMINASI KOPI DEKAFEINASI MENGGUNAKAN METODE UV-VIS SPECTROSCOPY DAN PLS-DA Yulia, Meinilwita; Asnaning, Aniessa Rinny; Suhandy, Diding
Jurnal Penelitian Pertanian Terapan Vol 18, No 1 (2018)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (22.827 KB) | DOI: 10.25181/jppt.v18i1.761

Abstract

Pada penelitian ini dilakukan evaluasi terhadap pengaruh ukuran partikel kopi bubuk pada proses diskriminasi kopi bubuk dekafeinasi dan non-dekafeinasi menggunakan metode UV-VIS spectroscopy dan PLS-DA. Pengambilan spektra sampel larutan kopi yang sudah disaring dan diencerkan dilakukan dengan menggunakan UV-VIS spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, USA). Untuk mengetahui dan mengevaluasi pengaruh ukuran partikel sampel kopi bubuk terhadap proses diskriminasi kopi dekafeinasi maka model PLS-DA dibuat untuk dua tipe model yaitu model PLS-DA lokal dan model PLS-DA global. Hasil menunjukkan bahwa model PLS-DA global mampu memprediksi jenis kopi dengan nilai RMSEP yang rendah untuk semua ukuran mesh (RMSEP= 0 0.077 untuk mesh 40, RMSEP= 0.049 untuk mesh 50 dan RMSEP= 0.115 untuk mesh 70). Untuk model PLS-DA lokal hanya mampu memprediksi dengan baik jenis kopi pada ukuran mesh yang sama dengan mesh sampel kalibrasi. Hal ini menunjukkan adanya pengaruh ukuran mesh terhadap hasil PLS-DA yang sangat signifikan.  
Klasifikasi Kopi Bubuk Spesialti Kalosi dan Toraja Menggunakan UV-Visible Spectroscopy dan Metode PLS-DA Diding Suhandy; Meinilwita Yulia
Jurnal Ilmu Pertanian Indonesia Vol. 24 No. 1 (2019): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.1 KB) | DOI: 10.18343/jipi.24.1.73

Abstract

 Specialty coffee is sold in a very expensive price. Specialty coffee is usually consumed as a single origin (without mixed with other coffee). For this reason, the detection of impurities (authentication) in specialty coffee is a very important process to be performed. In this study, UV-visible spectroscopy combined with PLS-DA method were used to discriminate between two specialty coffees from South Sulawesi (Kalosi and Toraja). A number of 100 ground roasted coffee samples were used for Kalosi and Toraja, respectively (1 gram each sample). A standard aqueous extraction procedure of the coffee samples using distilled water was performed and the spectral data of aqueous samples of Kalosi and Toraja coffee were acquired in transmittance mode using a UV-Visible spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, USA). The result showed that using PLS-DA method, all prediction samples were correctly classified into their corresponding classes with 100% rate for sensitivity, specificity, and accuracy, respectively.
Klasifikasi Madu Berdasarkan Jenis Lebah (Apis dorsata versus Apis mellifera) Menggunakan Spektroskopi Ultraviolet dan Kemometrika Diding Suhandy; Meinilwita Yulia; Kusumiyati Kusumiyati
Jurnal Ilmu Pertanian Indonesia Vol. 25 No. 4 (2020): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.25.4.564

Abstract

In this research, spectral data in UV region (200-400 nm) alongside PCA and SIMCA chemometrics were used to classify two types of honey obtained from different honeybees (Apis dorsata versus Apis mellifera). A total of 200 Durian monofloral honey samples from Apis dorsata and 120 samples for Longan monofloral honey from Apis mellifera were prepared. Therefore, spectral data were recorded based on the following parameters: range of acquisition 200-400 nm, transmittance mode, and interval 1 nm. In addition, the original spectra were transformed using three different algorithms: moving average smoothing with 11 segments, standard normal variate (SNV), and Savitzky-Golay 1st derivative with 11 segments and 2 ordos. The result of PCA using transformed spectra in the range of 250-400 nm explained the possibility of clearly separating Durian and Longan honey along the PC1 axis, with 98% variance, while the SIMCA showed a 100% proper classification rate for all prediction samples. In addition, several important wavelengths were identified alongside high x-loadings values at 270 and 300 nm. These results were closely related to the absorbance of important phenolic compounds in honey, including benzoic, salicylic, and aryl-alyphatic acids. The results demonstrate a probability to establish simple and low-cost honey authentication systems, using UV spectroscopy and chemometrics on free-chemical in sample preparations. Keywords: authentication, Apis dorsata, Apis mellifera, SIMCA, UV spectroscopy
Penggunaan UV-Vis Spektroskopi dan Kemometrika untuk Uji Keaslian Kopi Codot Lampung Meinilwita Yulia; Kurnia Rimadhanti Ningtyas; Diding Suhandy
Jurnal Ilmu Pertanian Indonesia Vol. 26 No. 4 (2021): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.26.4.479

Abstract

Codot coffee from Tanggamus, Lampung is one of Indonesian specialty coffee with a very limited production. In this research, an authentication study for the Codot ground roasted coffee was conducted using UV-vis spectroscopy and chemometrics. A total of 330 samples of pure and adulterated Codot coffee was prepared. The adulterated Codot coffee samples were intentionally created by adding a regular coffee (non-Codot coffee) into pure Codot coffee samples with three levels of adulterations: low (10-20%), medium (30-40%), and high level (50-60%). All samples were 0,29 mm in particle size. The extraction procedure was performed with hot distilled water (98°C). The spectral data of coffee samples were acquired using a benchtop UV-visible spectrometer in the range of 190-1100 nm using a transmittance mode. The result showed that the pure and adulterated samples could be discriminated along PC1 and PC2 axis. The classification model was developed using LDA with 90,91% of accuracy could be obtained. The LDA model was used to classify the new samples and resulted in a sensitivity (SEN) of 100%, specificity (SPEC) of 76,67%, precision (PREC) of 78,13%, and accuracy (ACC) of 87,27% could be obtained. Using PLS regression, a PLS model was developed to quantify the percentages of Codot coffee adulteration and resulted in high of coefficient of determination both in calibration and validation (R2kal = 0,99 and R2val = 0,98). These results showed that UV-vis spectroscopy and chemometrics are suitable for authentication of Codot specialty coffee with RMSEP = 2,68% and RPD in prediction of 6,49. Keywords: authentication, LDA, PCA, PLS regression, UV-vis spectroscopy
Diskriminasi Kopi Lanang Menggunakan UV-Visible Spectroscopy dan Metode SIMCA Diding Suhandy; Meinilwita Yulia; Yuichi Ogawa; Naoshi Kondo
agriTECH Vol 37, No 4 (2017)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (219.985 KB) | DOI: 10.22146/agritech.12720

Abstract

In this research, the use of ultraviolet-visible (UV-VIS) spectral information of coffee solution in the range of 190-700 nm to classify the type of coffee into lanang and regular. The spectral data of lanang and regular coffee were acquired using UV-Vis/NIR spectrometer (JASCO Corp., Tokyo, Japan). The multivariate data analysis method, SIMCA, was used to construct the classification models which worked with the individual PCA model for each class of coffee samples. SIMCA provided the classification of the samples into one or more classes. The performance of the developed SIMCA model for each class was then evaluated in terms of its sensitivity, specificity, and accuracy. The SIMCA classification method showed that it was possible to discriminate and separate the samples into two different classes (lanang and regular coffee) satisfactory value of accuracy, sensitivity and specificity. This result could open a development of a rapid and reliable method based on UV-Vis spectra for the authentication of lanang coffee in the near future.ABSTRAKPada penelitian ini kami menggunakan informasi yang terdapat dalam spektra ultraviolet-visible dari sampel larutan kopi pada panjang gelombang 190-700 nm untuk mengklasifikasi dua jenis kopi yaitu kopi lanang dan kopi biasa (kopi bukan lanang). Spektra kedua jenis kopi tersebut diambil menggunakan alat UV-Vis/NIR spektrometer (JASCO Corp., Tokyo, Jepang). Metode analisis data berpeubah banyak bernama SIMCA digunakan untuk membangun model klasifikasi jenis kopi dengan cara membangun model PCA pada setiap kelas yaitu kelas kopi lanang dan kelas kopi biasa. Model SIMCA yang dibangun kemudian digunakan untuk mengevaluasi apakah sebuah sampel termasuk ke dalam kelas tertentu atau termasuk ke dalam lebih dari satu kelas. Kualitas model klasifikasi kemudian dievaluasi menggunakan parameter accuracy, sensitivity dan specificity. Pada penelitian ini, hasil klasifikasi menggunakan model SIMCA menunjukkan bahwa proses diskriminasi kopi lanang dan kopi biasa menghasilkan nilai accuracy, sensitivity dan specificity yang sangat memuaskan. Hasil riset ini telah membuka kemungkinan pengembangan metode yang mudah dan cepat berbasis spektra UV-visible untuk proses uji keaslian kopi lanang.
Uji Keaslian Kopi Bubuk Spesialti Arabika Gayo Aceh Menggunakan Spektroskopi UV dan Kemometrika Diding Suhandy; Meinilwita Yulia
agriTECH Vol 41, No 1 (2021)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (111.883 KB) | DOI: 10.22146/agritech.56451

Abstract

Kopi arabika Gayo merupakan salah satu kopi spesialti dengan indikasi geografis yang menjadi salah satu target pengoplosan. Beras yang jumlahnya sangat banyak tersedia di Indonesia sangat potential menjadi bahan pengoplos kopi Gayo. Pada penelitian ini, kopi bubuk arabika Gayo dioplos atau dicampur menggunakan beras bubuk sangrai dengan kadar pengoplosan sebesar 10-50% (w/w). Sebanyak 197 sampel kopi Gayo murni dan campuran disiapkan sebagai sampel penelitian. Data spektra seluruh sampel diukur menggunakan spektrofotometer UV-visible pada panjang gelombang 200-400 nm. Spektra original ditransformasi menggunakan tiga algoritma yaitu moving average, standard normal variate dan Savitzky-Golay derivative. Model kalibrasi PLS (partial least square) dibangun menggunakan algoritma PLS1 dan divalidasi menggunakan metode validasi t-test. Model kalibrasi PLS terbaik diperoleh untuk spektra transformasi dengan interval 250-390 nm dengan sampel terpilih yaitu tanpa sampel pencilan. RPD (ratio prediction to deviation) dan RER (range error ratio) sebesar 3,87 dan 10,71 diperoleh untuk model kalibrasi PLS terbaik. Prediksi persentase beras dalam campuran kopi Gayo dilakukan dengan menggunakan model kalibrasi PLS terbaik dan menghasilkan prediksi yang bisa diterima dengan nilai bias dan SEP (standard error of prediction) yang rendah.
Uji Penggunaan Metode Discriminant Partial Least Squares (DPLS) dan Data Spektra di Daerah Ultraviolet-Cahaya Tampak untuk Penggolongan Kopi Luwak Diding Suhandy; Meinilwita Yulia; Sri Waluyo; Cicih Sugianti
Jurnal Keteknikan Pertanian Vol. 5 No. 3 (2017): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.576 KB) | DOI: 10.19028/jtep.05.3.195-200

Abstract

AbstractThe potential use of UV-Visible spectroscopy along with DPLS (discriminant partial least squares) method has been evaluated to discriminate authenticity of luwak coffee. In this study, UV-Visible spectral data of adulterated and unadulterated luwak coffee samples were obtained within 190-700 nm spectral region. DPLS model were then developed using original spectra to distinguish between adulterated and unadulterated luwak coffee samples. The predictions using developed DPLS model resulted in 100% of correct classification rate for adulterated and unadulterated luwak coffee, respectively. Our results showed that UV-Visible spectroscopy data with DPLS method can be applied to rapid detecting luwak coffee adulteration with other cheaper non-luwak coffees. This technology may be applied to protect and promote luwak coffee as one of Indonesian coffee specialty.Abstrak Potensi penggunaan spektroskopi ultraviolet-cahaya tampak dan metode DPLS (discriminant partial least squares) dievaluasi untuk digunakan dalam proses diskriminasi kopi luwak. Pada penelitian ini data spektra untraviolet-cahaya tampak kopi luwak asli dan kopi luwak yang dicampur kopi arabika (kopi luwak campuran) diambil pada panjang gelombang 190-700 nm. Model DPLS dibangun menggunakan spektra asli untuk membedakan antara kopi luwak asli dan kopi luwak campuran. Hasil prediksi menggunakan model DPLS menghasilkan ketepatan klasifikasi sebesar 100% untuk kopi luwak asli dan kopi luwak campuran. Hasil riset ini menunjukkan spektroskopi ultraviolet-cahaya tampak dan metode DPLS dapat digunakan sebagai salah satu metode cepat untuk mendeteksi adanya pemalsuan kopi luwak yang harganya mahal menggunakan kopi bukan luwak yang harganya lebih murah. Teknologi ini dapat diterapkan untuk melindungi sekaligus mengenalkan kopi luwak sebagai salah satu kopi specialty Indonesia.
Pemberdayaan Gapoktan Dalam Pengolahan Pupuk Cair Berbasis Limbah Kulit Kopi Dan Bahan Baku Lokal Analianasari Analianasari; Dayang Berliana; Eko Kenali; Meinilwita Yulia
MATAPPA: Jurnal Pengabdian Kepada Masyarakat Volume 5 Nomor 1 Tahun 2022
Publisher : STKIP Andi Matappa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31100/matappa.v5i1.1532

Abstract

Limbah kulit kopi hasil produksi Gapoktan belum dimanfaatkan secara optimal, hanya digunakan sebagai pupuk padat tanpa dilakukan pengolahan atau hanya dibuang ke lahan kopi. Limbah kulit kopi  memiliki kandungan nutrisi yang cukup baik untuk diproses menjadi produk yang memiliki nilai tambah tinggi jika dilakukan dengan fermentasi. Tujuan kegiatan adalah memberdayakan gabungan kelompok tani untuk: meningkatkan pengetahuan dan keterampilan pengolahan limbah kulit kopi dengan bahan baku lain menjadi pupuk cair organic.  Metode pelaksanaan kegiatan dengan teknik penyuluhan dan demontrasi cara pengolahan limbah kulit kopi menjadi pupuk organic cair. Hasil kegiatan adalah anggota kelompok tani memahami pentingnya melakukan pengolahan limbah kulit kopi dengan bahan baku yang tersedia menghasilkan pupuk cair dan maggot.  Kedua produk tersebut dapat mengefisienkan pengeluaran pupuk untuk budidaya kopi dan pakan ikan.
Investigasi pengaruh pengenceran sampel madu pada proses klasifikasi madu menggunakan uv spectroscopy dan kemometrika [Investigation on the influence of dilution of honey samples for honey classification using uv spectroscopy and chemometrics] Diding Suhandy; Meinilwita Yulia; Kusumiyati Kusumiyati; Siti Suharyatun; Sri Waluyo
Jurnal Teknologi & Industri Hasil Pertanian Vol 26, No 2 (2021): Jurnal Teknologi & Industri Hasil Pertanian
Publisher : Teknologi Hasil Pertanian Fakultas Pertanian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtihp.v26i2.72-82

Abstract

One form of honey adulteration is label adulteration for some premium honey such as uniflora honey from the honeybee species Trigona sp. One of the analytical methods that are currently developing and have the potential to perform the classification of premium honey in Indonesia is the UV spectroscopy method. In this study, an investigation was carried out on the effect of dilution on the performance of UV spectroscopy in the process of classifying Indonesian honey with different honeybees. A total of 4 types of honey samples with 10 samples each were used in this study. The honey sample was then diluted using distilled water. Each type of honey was given two dilution treatments, namely 1:20 (volume: volume) dilution of 5 samples and 1:40 (volume: volume) dilution of 5 samples. Spectral data were taken using a UV-visible spectrometer with a wavelength of 190-1100 nm (Genesys™ 10S UV-Vis, Thermo Scientific, USA) using the transmittance mode. The results of spectra analysis generally show that the sample with a 1:20 dilution has a higher absorbance intensity for both the original and modified spectra. The PCA results for each dilution showed that the honey samples could be separated into four different clusters for both 1:20 and 1:40 dilutions. The results of PCA analysis using all samples showed that the honey samples were classified into eight different clusters showing a significant effect of differences in honey sample dilution on the classification process of honey samples based on differences in the types of honeybees.
Evaluasi pasca panen, cacat mutu dan atribut kimia (kafein, asam klorogenat) kopi robusta Lampung Barat (studi kasus gapoktan di Lampung Barat)[Identification of post-harvest, quality defects, and chemical characteristics (caffeine, chlorogenic acids) of West Lampung robusta coffee beans (Case Study of Gapoktan in West Lampung] Analianasari Analianasari; Eko Kenali Win; Dayang Berliana; Meinilwita Yulia; Shintawati Shintawati
Jurnal Teknologi & Industri Hasil Pertanian Vol 27, No 1 (2022): Jurnal Teknologi & Industri Hasil Pertanian
Publisher : Teknologi Hasil Pertanian Fakultas Pertanian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtihp.v27i1.42-52

Abstract

Post-harvest Robusta coffee conducted by local farmers in West Lampung consisted of two post-harvest processes: dry processing (natural, honey) and wet processing (full wash). The study aimed to identify the post-harvest process stages, the value of quality defects and to characterize the chemical composition (chlorogenic acid, caffeine) of coffee beans from different post-harvest processes produced by Gapoktan Triguna Tribudi Syukur, West Lampung. The research used survey and interview methods equipped with laboratory analysis. The research sample was determined by purposive sampling, a coffee producer (Gapoktan Triguna) who have been fostering coffee in West Lampung for 35 years. Coffee quality analysis refered to SNI 01-2907-2020. The results showed that the post-harvest process carried out by Gapoktan Triguna on honey, natural and full wash processing produced premium quality of of coffee beans (1-2 quality) with the highest number of quality defects produced were broken beans. The roasting process with semi-mechanical and mechanical machines with natural processing produced high chlorogenic acid content (>3%) and the caffeine content according to the SNI caffeine content (2%). Keywords: caffeine, chlorogenic acid, defects, post-harvest, Robusta
Co-Authors Analianasari Analianasari Asnaning, Aniessa Rinny Cicih Sugianti Dayang Berliana Dayang Berliana Diding Suhandy Duta Satria Eko Win Kenali Fajarsukoco Fajarsukoco Fajri Husna Fiqi Al Hidayat Kusumiyati Muqorrobin Muqorrobin Naoshi Kondo Nasichin Nasichin ningtyas, Kurnia rimadhanti Sapto Kuncoro Shintawati Shintawati Siti Suharyatun Slamet Widodo Sri Waluyo Winarto Winarto Yose Sebastian Yuichi Ogawa