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Author

I Wayan Budiastra

Bio: I Wayan Budiastra is an academic researcher from Bogor Agricultural University. The author has contributed to research in topics: Physics & Chemistry. The author has an hindex of 4, co-authored 47 publications receiving 74 citations.


Papers
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01 Jan 2015
TL;DR: In this paper, the authors developed a calibration model for prediction soluble solids content (SSC) and acidity in 'Gedong Gincu' mango using NIRS and analyzed the effects of different preprocessing techniques on the acuracy of the calibration model.
Abstract: Near infrared spectroscopic (NIRS) techniques have shown promise as rapid and non-destructive tools to evaluate the internal quality attributes of fruits. The objective of this work were to develop a calibration model for prediction soluble solids content (SSC) and acidity in 'Gedong Gincu' mango using NIRS and to analyze the effects of different preprocessing techniques on the acuracy of the calibration model. The prediction models were developed by partial least square (PLS) regression. NIR reflectance spectra were measured at wavelength of 1000-2500 nm using NIRFlex N-500 fiber optic solid. The results show that for SSC, the best preprocessing method was smoothng 3 points (sa3) with PLS factor=15, r=0.82, SEC=0.5oBrix, SEP=1.28oBrix, CVc 5.8% and RPD=1.52. For acidity, the best preprocessing method was first derivative Savitzky-Golay-9 ponts (dg1) with PLS factor=3, r=0.74, SEC=0.01%, SEP=0.12%, CVc=38.1% and RPD=1.33. This findings showed the important role of preprocessing method in developing accurate models for the prediction of mango internal quality characteristics. Keyword-NIR spectroscopy, preprocessing, soluble solid content, acidity, 'Gedong Gincu' mango

10 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of packaging on quality change of carrots during transportation was investigated and the authors used the packaging plastic baskets, wooden crates and plastic bag to evaluate the firmness, carrot losses and weight losses.

9 citations

Journal ArticleDOI
19 Jun 2020
TL;DR: In this article, Savitzky-Golay et al. developed a method to predict chemical composition of physic nut by NIR spectroscopy and PLS calibration, using three provenances of physicnut, i.e., IP-3A, IP- 3M, and IP 3P, with 85 samples each.
Abstract: ABSTRAK Jarak pagar berpotensi sebagai sumber biodiesel karena kandungan lemak yang tinggi (>40%) dan belum ada penggunaan lainnya Spektroskopi (Near Infrared) NIR adalah metode yang cepat untuk mengukur spektrum sampel dan tidak terdapat limbah kimia Tujuan penelitian adalah mengembangkan metode pendugaan komposisi kimia beberapa provenan jarak pagar berdasarkan spektroskopi NIR menggunakan kalibrasi PLS Pengujian dilakukan menggunakan tiga provenan jarak pagar yaitu IP-3A, IP-3M, dan IP-3P masing-masing 85 sampel Spektrum reflektansi diukur menggunakan alat NIRFlex Solids Petri pada panjang gelombang 1000–2500 nm Sekitar ⅔ jumlah sampel digunakan untuk mengembangkan persamaan kalibrasi dan ⅓ jumlah sampel untuk validasi Pra perlakuan data spektrum dilakukan dengan normalisasi antara 0-1, turunan pertama Savitzky-Golay 9 titik dan gabungan keduanya Hasil penelitian menunjukkan spektroskopi NIR dapat menduga kadar air, lemak, dan asam lemak bebas Koefisien korelasi (r) antara komponen kimia metode acuan dengan dugaan NIR >0,83 menunjukkan ketepatan model cukup baik (r kadar air=0,96, r kadar lemak=0,92, dan r ALB=0,89 ) Konsistensi model kalibrasi kadar air=94,85%, lemak=82,56%, dan ALB=87,80% Koefisien keragaman dugaan (Prediction Coeficient Variability/PCV) ketiga model <10% menunjukkan model yang dibangun cukup handal Ratio of standard error prediction to deviation (RPD) menunjukkan metode spektroskopi NIR dapat digunakan untuk menentukan kadar air (RPD=3,30) dan lemak (RPD=2,06) Model-model yang dikembangkan secara umum layak untuk menentukan kadar air dan lemak biji jarak pagar, tetapi belum optimal untuk penentuan kadar ALB biji jarak pagar Kata kunci: NIR , jarak pagar, kadar air, kadar lemak, kadar asam lemak bebas ABSTRACT Physic nut is a potential source of biodiesel It is high in fat content, above 40% and has not been usesed for other purposes Moisture, free fatty acid, and fat content are the chemical compounds and determinant factor for physic nut seed quality The objective of this study was to develop a method to predict chemical composition of physic nut by NIR spectroscopy and PLS calibration The study was conducted using three provenances of physic nut, ie IP-3A, IP-3M, and IP-3P, with 85 samples each The wavelengths of near infrared reflectance ranged from 1000 to 2500 nm, and measured by NIR Flex Solids Petri Apparatus Approximately ⅔ of total samples were used for developing calibration equation, while ⅓ of total samples for performing validation Pre-treatment of spectrum data was done by applying normalization, first derivative of Savitzky–Golay 9 points, and as well as their combination The results showed that NIR spectroscopy performed acceptable prediction for moisture and fat content Correlation coefficients (r) between the reference method and NIR prediction were 096 for moisture content, 092 for fat content, and 089 for FFA and the consistency of the model were 9485% for moisture content, 8256% for fat, and 8780% for FFA Prediction of coefficient of variability (PCV) of the three models ≤10 % shows that the models are reliable Ratio of standard error prediction to deviation (RPD) for moisture content has the potential to be used for screening (RPD=330) though the fat content model has rough screening (RPD=206) Key words: NIR, physic nut, moisture, fat, free fatty acid contents

8 citations

Journal Article
TL;DR: In this article, the authors used NIR spectroscopy for predicting trigonelline and chlorogenic acid (CGA) concentration in intact coffee beans in a petri dish.
Abstract: Trigonelline and chlorogenic acid (CGA) are important quality indicators of coffee. Commonly, trigonelline and CGA concentration are determined using chemical method. This method is time consuming and destructive so it is not suitable for coffee industries which need a fast measurement. The objective of this study was to assess NIR spectroscopy for predicting trigonelline and CGA concentration in intact coffee beans. Coffee beans samples of 96 g (n=100) were placed in a petri dish. The reflectance of samples was measured by FT-NIR spectrometer in the wavelengths of 1000-2500 nm. Subsequently, the trigonelline and CGA content of samples were determined using Liquid Chromatography Mass Spectrometry (LCMS). Spectra data processing such as first and second derivative, multiple scatter correction (MSC), Standard Normal Variate (SNV) and the combination of them were carried out to reduce scattering, to eliminate overlapped absorption bands, and to optimize the best data input in calibration process. After that, these spectra (n=67) were calibrated to chemical data using Partial Least Square (PLS) to find the best calibration models. Then the calibration models were applied to predict trigonelline and chlorogenic acid (CGA) in another set of samples (n=33). The results showed that NIR spectra data processing of second derivative combined with 4 factors of PLS was the best model for predicting CGA concentration of coffee (r=0.94, CV=2,75%, RPD=2.27). For trigonelline, however, the best model was combination of second derivative and MSC of spectra data processing and 4 factors of PLS (r=0.98, CV=1.63%, RPD=2.98). These results indicated that NIR spectroscopy can be used as a fast and nondestructive method for determining trigonelline and CGA in intact coffee beans accurately. Keywords: chlorogenic acid, intact coffee bean, NIRS, PLS, trigonelline

7 citations

DOI
26 Oct 2017
TL;DR: In this article, the effect of ultrasonic-assisted extraction (UAE) on the increasing of extraction yield and the effectiveness of antioxidant from mangosteen rind was observed, where three levels of excitation time (15, 30, 45 minutes) and amplitude of ultrasonic wave (35, 50, 65%) were tested on UAE.
Abstract: Maceration is one of the common extraction methods used to obtain antioxidant of mangosteen rind. However, this method time consuming and produce low extraction yield. Therefore, it needs other methods. One of them is ultrasonic-assisted extraction (UAE). The aim of the research is to observe the effect of UAE method on the increasing of extraction yield and the effectiveness of antioxidant from mangosteen rind. Three level of excitation time (15, 30, 45 minutes) and amplitude of ultrasonic wave (35, 50, 65%) were tested on UAE. As the control was maceration method at 35 oC for 7 hours. The result showed that extraction yield, antioxidant activity (IC50) and total anthocyanin content (TAC) of all ultrasonic treatments were significantly different from that of control. The optimum condition of UAE was obtained from amplitude of 65% and excitation time of 45 minutes resulting 6.71% of extraction yield, IC50 4.93 ppm and TAC 558.76 ppm. UAE can enhance the effectiveness antioxidant and reduce extraction time from mangosteen rind. Abstrak Maserasi adalah salah satu metode ekstraksi yang umum digunakan untuk mendapatkan antioksidan kulit manggis. Metode ini membutuhkan waktu yang cukup lama dan menghasilkan rendemen yang rendah. Oleh karena itu, diperlukan metode ekstraksi yang lebih cepat salah satunya dengan ultrasonic-assisted extraction (UAE) . UAE adalah metode ekstraksi menggunakan bantuan ultrasonik. Tujuan dari penelitian ini adalah mengkaji pengaruh metode ultrasonik untuk peningkatan rendemen dan efektivitas antioksidan dari kulit manggis. Tiga level waktu eksitasi (15, 30, 45 menit) dan amplitudo (35, 50, 65%) diuji pada ekstraksi berbantu ultrasonik. Maserasi pada suhu 35oC selama 7 jam digunakan sebagai kontrol. Hasil penelitian menunjukkan bahwa rendemen, aktivitas antioksidan (IC50) dan kadar antosianin total (TAC) dari ekstraksi berbantu ultrasonik berbeda nyata terhadap kontrol. Kombinasi perlakuan terbaik dari ekstraksi berbantu ultrasonik adalah menggunakan amplitudo 65% dan waktu eksitasi 45 menit yang menghasilkan rendemen 6.71%, aktivitas antioksidan IC50 4.93 ppm dan kadar antosianin total 558.76 ppm. Ekstraksi berbantu ultrasonik mampu meningkat rendemen, efektivitas antioksidan dan mengurangi waktu ekstraksi kulit manggis.

7 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, a comparative analysis of building insulation materials properties (thermal, hygroscopic, acoustic, reaction to fire, environmental, and cost) and their performance in different climate zones and proposed an optimization framework.
Abstract: Building envelope insulation is crucial for an energy-efficient and comfortable indoor environment because the envelope accounts for 50–60% of total heat gain/loss in a building. Previous studies mostly used lifecycle cost as the criteria to select the optimum insulation materials with little or no consideration of embodied energy, emission, and summer overheating potential. This study presents a comparative analysis of building insulation materials properties (thermal, hygroscopic, acoustic, reaction to fire, environmental, and cost) and their performance in different climate zones and proposed an optimization framework. Insulation materials can be primarily categorized as conventional, state-of-the-art and sustainable. State-of-the-art insulation materials have the lowest thermal conductivity value amongst the three insulation types. However, their life cycle cost is higher compared to the other types. Sustainable insulation materials could be useful to delay and minimize indoor peak temperature and reduce overheating risk during the hot summer period. The analysis also showed that building walls with comparatively lower thermal resistance are more cost-effective for the cooling dominated region, but walls with higher thermal resistance are more cost-effective in heating-dominated regions. However, highly insulated and airtight houses may also lead to increased overheating risk and peak cooling demand during a hot summer period. In addition, hygroscopic, acoustic, and fire retardancy properties of insulation materials are critical to control indoor relative humidity in a humid region, to maintain a minimum noise level in a zone, and to reduce fire destruction. Hence, the optimization should include four criteria 1) Energy, 2) Environment, 3) Economic, and 4) Comfort.

134 citations

Book ChapterDOI
01 Jan 2018
TL;DR: In this paper, the main factors that influence in senescence and ways to control to maintain freshness, color, and firmness, among many other important sensorial attributes that reflect directly in the product quality along with its acceptance.
Abstract: The chapter refers to the considerations and updates regarding postharvest fruit and vegetable quality. This approach exposes the major parameters and attributes of fruits and vegetables after cultivation, with consumers or product makers as the final destination. Furthermore, it discusses the main factors that influence in senescence and ways to control to maintain freshness, color, and firmness, among many other important sensorial attributes that reflect directly in the product quality along with its acceptance. Many studies presented in this chapter show methods and controlling technologies that play a role in quality, such as special packages and modified atmosphere; gas regulators; materials used in transport and its degree of damage in fruits and vegetables; color preservation and the effect in maintenance of fruit characteristic; soluble solids content during postharvest chain; shelf life in respect to temperature control; new methods to control quality decay in postharvest fruits and vegetables in general. Studies in the postharvest field are fundamental to stimulate new technologies and provide increasingly a wider variety of fruits and vegetables with extended shelf life with appreciable quality.

42 citations

Journal ArticleDOI
TL;DR: ANN was found to be the most accurate and robust model for mass estimation of mango fruits with a root mean squared error of 6.55g, mean absolute percentage error (MAPE) of 1.62%, and coefficient of efficiency of 0.99 after validation.

40 citations

Journal ArticleDOI
TL;DR: In this article, the authors address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase, through exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables are identified.
Abstract: The reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.,Through exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.,The results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.,The results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.,It is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

27 citations

04 Aug 2016
TL;DR: In this article, the authors used FTIR and particle size analyzer (PSA) to analyze the electrical properties of BaxSr(1-x)TiO3 thin-film semiconductors with Ba/Sr ratio.
Abstract: Ferroelectric BaxSr(1-x)TiO3 thin film semiconductors with Ba/Sr ratio deposited on silicon using chemical solution deposition (CSD) method have been investigated, followed by annealing at 850°C for 15 hours. Observations by I-V meter, LCR meter, and oscilloscope were employed to characterize the electrical properties of the thin films and the observation of fourier transform spectroscopy (FTIR) and particle size analyzer (PSA) to characterize the optical properties. The results showed that the dielectric constant was given around 2–18. Moreover the obtained films were found to be resistor because the I-V graph of each sample was ohmic either in dark or bright environment. The increase of BST mol fraction at dark environment is proportional to the increase of the curve slope. While at bright environment gives the highest curve slope for BST with fraction x = 0.45. Based on electrical conductivity of thin films, we conclude that the thin films are semiconductor. Moreover, functional group and particle size of sample were analyzed using FTIR and PSA analyzer. The augmentation of Ba would decrease the transmittance band of OH− and increase the transmittance band of C-O because the radius of Ba is higher than Sr. The particle distribution size of BST 0.45 is 134.93 nm smaller than BST 0.25 which gives 186.26 nm, BST 0.35 gives value of 467.86 nm and BST 0.55 is 407.49 nm.

27 citations