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Diding Suhandy
Jurusan Teknik Pertanian, Fakultas Pertanian, Universitas Lampung, Jl. Prof. Dr. Soemantri Brojonegoro No. 1, Bandar Lampung 35145
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Other

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PENENTUAN BAHAN KERING BUAH SAWO SECARA TIDAK MERUSAK MENGGUNAKAN NIR SPECTROSCOPY Suhandy, Diding
Jurnal Teknologi & Industri Hasil Pertanian Vol 13, No 2 (2008): Jurnal Teknologi & Industri Hasil Pertanian
Publisher : Teknologi Hasil Pertanian Fakultas Pertanian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (61.51 KB) | DOI: 10.23960/jtihp.v13i2.%p

Abstract

This work was conducted to develop a new measuring system for nondestructive dry matter prediction in sawo fruit using short wavelength near infrared (SW-NIR) spectroscopy. In this research, a number of 100 sawo fruits were used as samples. Spectra were acquired using a portable spectrometer (VIS-NIR USB4000, The Ocean Optics, USA) with 100 ms integration time and 50 scans for number of scanning. Dry matter was measured using oven drying. The calibration and validation model was developed using the partial least squares (PLS) regression method. The result showed that the best calibration model could be developed for original spectra in the wavelength range of  700-990 nm with F= 8, r = 0.92, SEC = 0.68 and  SEP = 0.86. Keywords:   Absorbance mode, dry matter, nondestructive method, sawo fruit, SW-NIR spectroscopy.
PENGARUH ARAH DAN KETEBALAN IRISAN KUNYIT TERHADAP SIFAT FISIK TEPUNG KUNYIT YANG DIHASILKAN Priastuti, Rita Catur; -, Tamrin; Suhandy, Diding
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 5, No 2 (2016)
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.328 KB) | DOI: 10.23960/jtep-l.v5i2.%p

Abstract

The purpose of this research was to evaluate the influence of the direction and thickness of turmeric slice on thephysical powder of turmeric powder. The treatments were two different of treatments cut vertical slices (cut fiber),horizontal (unidirectional fibers) and cut with three thicknesses (0.3 cm, 0.6 cm, and 0.9 cm). The measuredparameter were water content, angle of repose, fineness modulus, uniformity index, grain yield, bulk density, andthe flour color. The water content obtained wasn’t reached the Indonesia Standard Nasional which is still below12%, while the angle of repose has been good angle with the value 31°-41°. The fineness modulus as much as4.02% - 4.66%. Uniformity index grains with rough category has the highest amount than with the percentageof medium and smooth category, and the medium category on average direction of a cut fiber have percentagegreater than the unidirectional fiber although the difference is only a little. The percentage is still low grain yield<50%. Bulk density values obtained in this research ranged between 354.89 - 386.90 kg / m 3 . The resulting colorwasn’t much different and still in the desired category was yellow-orange. Different parameters affect the slicethickness uniformity index and grain yield of turmeric. The thicker slices of turmeric, then the index uniformityand yield of turmeric powder granules produced higher. Different directions slices and slice thickness differencedoes not affect the water content, angle of repose, fineness modulus, bulk density, and color of turmeric powder.Keywords: turmeric powder, slicesdirection, slice thickness, water content , angle of repose, bulk density.
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.  
PENGGUNAAN METODE SOFT INDEPENDENT MODELLING OF CLASS ANALOGY DAN UV-VIS SPECTROSCOPY UNTUK MEMBEDAKAN KOPI BUBUK ROBUSTA ASAL JAWA DAN SUMATERA SECARA CEPAT Suhandy, Diding
Jurnal Penelitian Pertanian Terapan Vol 18, No 2 (2018)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.833 KB) | DOI: 10.25181/jppt.v18i2.760

Abstract

Penelitian ini merupakan aplikasi penggunaan metode UV-VIS spectroscopy dan SIMCA untuk membedakan kopi bubuk robusta asal Sumatera dan Jawa. Pengambilan spektra sampel larutan kopi yang sudah disaring dan diencerkan, dilakukan dengan menggunakan UV-VIS spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, USA). Model SIMCA dibangun untuk masing-masing kelas yaitu model SIMCA kopi robusta Sumatera dan model SIMCA kopi robusta Jawa. Hasil prediksi menunjukkan bahwa seluruh sampel prediksi berhasil dikelompokkan secara benar sesuai dengan kelasnya masing-masing menggunakan model SIMCA yang dibangun, kecuali sampel S14aPA yang gagal dikelompokkan sebagai kopi robusta Sumatera. Berdasarkan hasil analisis plot discriminant power diperoleh kesimpulan bahwa secara umum kontribusi panjang gelombang antara 200–350 nm lebih tinggi dibandingkan dengan panjang gelombang 350–600 nm. Beberapa panjang gelombang dengan kontribusi sangat tinggi (nilai discriminant power tinggi) dan terlihat sebagai puncak pada plot adalah 245 nm, 253 nm, 264 nm, 316 nm dan 327 nm. 
Dekafeinasi Menggunakan Metode Ultraviolet-Visible 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 (960.078 KB) | 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.
UJI KEASLIAN MADU LEBAH HUTAN APIS DORSATA DARI NEKTAR UNIFLORA ACACIA MANGIUM MENGGUNAKAN SPEKTROSKOPI ULTRAVIOLET DAN KEMOMETRIKA Suhandy, Diding; Yulia, Meinilwita
Jurnal Teknologi Pertanian Vol 22, No 1 (2021)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtp.2021.022.01.3

Abstract

ABSTRAK Produksi madu uniflora cukup terbatas, khususnya yang dihasilkan oleh lebah hutan Apis dorsata. Madu uniflora yang dihasilkan lebah hutan Apis dorsata dari nektar bunga pohon Akasia Mangium (Acacia mangium) merupakan salah satu madu hutan premium yang sangat populer di Indonesia dan Malaysia. Studi uji keaslian madu uniflora Acacia mangium menggunakan spektroskopi ultraviolet belum dilakukan. Penelitian ini dilakukan untuk mengevaluasi penggunaan spektroskopi ultraviolet dan kemometrika untuk membedakan madu uniflora Acacia mangium dengan madu multiflora yang memiliki warna mirip madu uniflora Acacia mangium. Sebanyak  50  sampel  madu  uniflora Acacia mangium  dan  50  sampel madu   multiflora disiapkan sebagai sampel.  Sampel tersebut disiapkan dengan cara mencampurkan madu dan air distilasi dengan perbandingan 1:30 (volume/volume). Spektra  seluruh sampel madu dan referensi (air distilasi) di panjang gelombang 190-1100 nm (full spectrum) diakuisisi  menggunakan spektrometer UV-visible (Genesys™  10S  UV-Vis,   Thermo   Scientific,   USA). Klasifikasi tidak terbimbing menggunakan metode HCA dan PCA menunjukkan sampel madu dapat dikelompokkan ke dalam dua kluster berbeda yaitu kluster madu uniflora dan kluster madu multiflora. Klasifikasi terbimbing menggunakan metode LDA menunjukkan hasil yang sangat memuaskan dengan nilai akurasi sebesar 100% berhasil diperoleh baik untuk kalibrasi maupun prediksi.Kata kunci: Akurasi Klasifikasi; LDA; Madu Acacia Mangium; Pemalsuan Madu; Uji Keaslian ABSTRACTThe production of monofloral honey is quite limited, especially that produced by Apis dorsata forest honeybees. The monofloral honey produced by Apis dorsata bees from the flower nectar of the Acacia mangium tree (Acacia mangium) is one of the premium forest honey which is very popular in Indonesia and Malaysia. The study of the authenticity of Acacia mangium monofloral honey using UV spectroscopy has not been carried out. This research was conducted to evaluate the use of UV spectroscopy and chemometrics to discriminate monofloral Acacia mangium honey from multifloral honey which has a similar color to Acacia mangium monofloral honey. A total of 50 samples of Acacia mangium monofloral honey and 50 samples of multifloral honey were prepared as samples. The sample was prepared by mixing honey sample and distilled water in a ratio of 1:30 (volume / volume). Spectra of all honey and reference samples (distilled water) at 190-1100 nm (full spectrum) wavelengths were acquired using a UV-visible spectrometer (Genesys ™ 10S UV-Vis, Thermo Scientific, USA). Unsupervised classification using the HCA and PCA methods indicated that the honey samples could be grouped into two different clusters, namely the monofloral honey cluster and the multifloral honey cluster. Supervised classification using the LDA method shows very satisfying results with an accuracy value of 100% successfully obtained for both calibration and prediction.Keywords : Acacia Mangium Honey; Authentication; Classification Accuracy; Honey Adulteration; LDA
APLIKASI METODE UV SPEKTROSKOPI DAN KEMOMETRIKA UNTUK DISKRIMINASI MADU FLORA DAN MADU EKSTRAFLORA Suhandy, Diding; Yulia, Meinilwita; Kusumiyati, Kusumiyati
JST (Jurnal Sains dan Teknologi) Vol 11, No 1 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jst-undiksha.v11i1.44757

Abstract

Penelitian ini bertujuan untuk mengevaluasi penggunaan UV spektroskopi untuk klasifikasi madu flora yaitu madu Durian (Durio zibethinus) dan madu honeydew dari jenis ekstraflora yaitu madu Akasia (Acacia crassicarpa) dan madu Karet (Hevea brasiliensis) dari Indonesia. Sampel madu diencerkan dengan air distilasi dengan perbandingan 1:20 dan 1:30 (volume/volume) dan diteteskan sebanyak 3 mL ke dalam kuvet kuarsa. Spektra UV diukur menggunakan UV-visible spectrometer di rentang panjang gelombang 190-400 nm dengan interval 1 nm menghasilkan 211 variabel spektra. Model klasifikasi linear dibangun menggunakan metode linear discrimination analysis dan non-linear menggunakan metode support vector machine. Hasil penelitian menunjukkan kedua metode tersebut dapat digunakan untuk klasifikasi madu flora dan ekstraflora dengan nilai akurasi, sensitivitas, spesifisitas, presisi, dan koefisien korelasi Matthews sebesar 1 atau 100%. Hal ini menunjukkan aplikasi metode UV spektroskopi sebagai metode analisis yang cepat, ramah lingkungan dan harga relatif terjangkau untuk diskriminasi madu flora dan ekstraflora di Indonesia
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
Co-Authors Agus Arip Munawar Agus Haryanto Ahmad Tusi Anak Agung Gede Sugianthara Ani Dahli Aniessa Rinny Asnaning Annie Widya Subagya Apriyatama, Muhammad Ivanka Asnaning, Aniessa Rinny Asnaning, Aniessa Rinny Cicih Sugianti Dicky Ervandi Elhamida Rezkia Amien Fipit Novi Handayani Galih Pratama Hartono W, Sony Hata Maulana Kusumiyati M. Haviz Mad Yamin Mareli Telaumbanua Meinilwita Yulia Meinilwita Yulia Meinilwita Yulia Muhammad Haviz Naoshi Kondo nFN Yatmin nFN Yulianingsih Ning Hartati Setiasih ningtyas, Kurnia rimadhanti Novi Apratiwi Priastuti, Rita Catur Riri Iriani Rofandi Hartanto Sapto Kuncoro Sapto Kuncoro Siti Suharyatun Slamet Widodo Sri Waluyo Sugeng Triyono Sulusi Prabawati TAKAHISA MATSUOKA Tamrin, Tamrin Titin Yulianti Usman Ahmad Warji Warji Winda Rahmawati Winda Rahmawati Yuichi Ogawa Yulia, Meinilwita Yulia, Meinilwita Yulia, Meinilwita Yulianingsih .