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Kinetics of Porang (Amorphophallus oncophyllus) Chips during Storage at Various Temperatures Munawwaroh, Fajriyah Dian; Rahayoe, Sri; Bintoro, Nursigit
agriTECH Vol 45, No 3 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.90014

Abstract

Porang chips are dried food products that easily absorb moisture from storage environment. This highlights the need for storing porang chips under appropriate environmental conditions to maintain quality by controlling temperatures and humidity of storage area. Therefore, this study aimed to assess quality characteristics of porang chips by analyzing the rate of change using the kinetics model and determining storage period at various temperatures. Porang chips were stored at a relative humidity (RH) of approximately 70% and temperatures of 15 ℃, 20 ℃, 25℃, and 30 ℃ for 90 days. The parameters measured were moisture content, hardness, density, color, glucomannan, and ash content. The rate of quality change in hardness and density of chips was analyzed using the kinetics model that was validated through the Arrhenius equation. After the validation test confirmed its accuracy, storage period was determined based on the hardness parameter. The measurement of porang chips parameters was analyzed using ANOVA with Duncan’s post hoc test to assess the effect of storage temperatures. The results showed that storage temperatures affected hardness and density parameters but did not affect the color, glucomannan, and ash content. The kinetics analysis of changes in hardness and density of porang chips followed a zero-order reaction, showing that higher storage temperatures produced larger rate constant values. Validation using the Arrhenius equation yielded the following equations for density Y = -5154.5 + 9.1773 and hardness Y = -2152.4 + 2.3371. The determination of shelf life for porang chips based on the hardness parameter resulted in values of 386, 345, 312, and 271 days at storage temperatures of 15 ℃, 20 ℃, 25 ℃, and 30 ℃, respectively.
The Quality Characteristics of Porang Flour Processed By Soaning, Flouring, Sifting, and Blowing Treatment Ritzada, I Putu Dharma Putra; Rahayoe, Sri; Amanah, Hanim Zuhrotul
agriTECH Vol 45, No 3 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.92592

Abstract

Porang (Amorphophallus oncophyllus) is a raw material for glucomannan flour, which is widely used as a thickener in the food industry. However, the high oxalates in its flour can pose health risks when consumed in excess. Therefore, this study aimed to analyze the quality characteristics of porang flour processed through grinding with a hammer and disk mill, followed by polishing, sieving, and air blowing using a cyclone separator. The primary processing stages include the use of hammer and disk mills, a polishing machine, a Tyler sieving machine, as well as a cyclone separator equipped with a blower. The results showed that the quality of porang flour subjected to two polishing treatments produced a specific gravity of 0.559 g/cm 3 . Furthermore, the optimal processing method included hammer milling with a Sanindo  polished cycles. This led to the production of porang flour with the lowest calcium oxalate content (0.22%), high glucomannan concentration (31.56%), and high viscosity (14666.7 mPas).
Comparison of HSV-color and ANN-HSV-color segmentation for detecting soybean adulteration Rahmat Abadi, Farid; Evi Masithoh, Rudiati; Sutiarso, Lilik; Rahayoe, Sri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3734-3743

Abstract

Soybeans are an important food crop, but their quality is often compromised by contamination with other materials, a process known as adulteration. Conventional methods for detecting adulteration are slow; therefore, there is a need for rapid and non-invasive alternatives. This study aimed to assess the capability of hue-saturation-value (HSV) color segmentation and its combination with artificial neural networks (ANN) to identify adulteration in soybean samples. This research employed image processing and machine learning to segment soybeans mixed with adulterants at concentrations of 5%, 10%, 15%, 20%, and 25%. The HSV method successfully distinguished soybeans and other materials, but some challenges were observed in shadow regions and areas with similar colors. The HSV-ANN model with six hidden layers performed well with a calibration accuracy of R² value of 0.97 and root-mean-square error (RMSE) of 2.16%, which provided more detailed segmentation, although it still had some problems in shadow regions and undetected corn embryo parts. The validation results indicated that the HSV model had an R² value of 0.98 and RMSE of 4.48%, while the HSV-ANN model had an R² value of 0.96 and RMSE of 1.3%. Both models were capable of predicting the levels of adulteration, and the HSV-ANN model proved to be more accurate. It is concluded that both methods are efficient; however, there is a need for more work on modeling and sampling to increase the segmentation precision and decrease the biases, especially in the shadow and overlapped color.
Physical Characteristic of Heat Resistant Chocolate Formulated with Konjac Glucomannan and Xanthan Gum-Based Hydrogel at Various Fat Content during Period of Crystal Growth (Maturation) Saputro, Arifin Dwi; Nur Fadilah, Mira Aprilia; Keegen Bangun, Samuel; Rahayoe, Sri; Wahyu Karyadi, Joko Nugroho; Setiowati, Arima Diah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 11 No. 4 (2022): Desember 2022
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i4.658-670

Abstract

Indirect addition of water into chocolate may form secondary sugar networks. This condition creates an increased melting temperature of chocolate. The purpose of this study was to increase the melting point of premium couverture chocolate without addition of fat/oil from other sources.  Chocolate was formulated with coconut/palm sugar as sweetener at various fat levels (32%, 34%, and 36%).  Aside from this, Konjac glucomannan and Xanthan gum-based hydrogel with a concentration of 3%, 5%, and 7% was added. Characterization of chocolate quality parameters with the addition of konjac glucomannan-based hydrogel (CKG) and xanthan gum-based hydrogel (CXG) was carried out. Moisture content, melting point, hardness, particle size and brown color analyses were carried out at intervals of 1, 5, 9 days of maturation (crystal growth period). The results showed that the addition of hydrogel influenced the melting point and hardness.  As the period of crystal growth (maturation) increased, the melting point and hardness of the chocolate also increased. Keywords:   Heat Resistant Chocolate, Hydrogel, Konjac Glucomannan, Palm Sugar, Xanthan Gum
Effect of Microclimate Temperature and Relative Humidity on the Postharvest Quality of Coconut Sap and Sugar Rahayoe, Sri; Dewi, Hilda Maya Sintia; Nugroho, Andri Prima; Saputro, Arifin Dwi; Ngadisih, Ngadisih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.899-910

Abstract

Coconut sap, increasingly recognized as a functional sweetener, is highly perishable and influenced by environmental conditions during postharvest handling, yet the specific impacts of microclimatic variables such as temperature and relative humidity (RH) on sap and sugar quality remain inadequately studied. This research investigates the effects of RH and temperature on key physicochemical parameters of coconut sap—pH, Brix, and density—and evaluates their influence on coconut sugar quality, focusing on moisture, ash content, and color. Sap was collected biweekly in Central Java over a five-week period and analyzed in conjunction with environmental data recorded using an IoT-based weather station. Increased RH was significantly associated with decreased sap pH (r = –0.482, p = 0.007) and showed a weak negative correlation with Brix. Density remained stable across varying RH levels. Although temperature showed visual trends in sap quality parameters, statistical analysis did not reveal significant correlations, likely due to the narrow temperature range during the observation period. Throughout sugar processing, TSS increased consistently across boiling, saturation, and oversaturation stages. Final sugar blocks maintained stable moisture (6–8%) and ash content (1.8–2.2%), with color variations reflecting Maillard and caramelization reactions. Maintaining RH below 85% is recommended to preserve sap quality and product consistency. Keywords: Coconut sap, Coconut sugar, Postharvest quality, Relative humidity, Temperature.
Processing and Quality of Crystalized Palm Sugar in Indonesia: A Review Kurniawan, Hary; Rahayoe, Sri; Amnah, Hanim Zuhrotul
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1517-1533

Abstract

Crystalized palm sugar derived from coconut and arenga palm sap has high-value for industrial products. The crystalized sugar offers several advantages over molded palm sugar, including a longer shelf life, lower glycemic index, and greater flexibility in its applications. However, palm sugar production in Indonesia is still predominantly carried out using traditional methods, which are inefficient in terms of quality control and production capacity. This review explores various aspects of palm sugar processing and quality in Indonesia, including raw materials, production processes, quality determinants, as well as challenges and development prospects. Key factors influencing product quality include the quality of raw materials, cooking techniques, drying methods, and proper storage practices. Uncontrolled fermentation of sap can hinder crystallization, while high moisture content may cause clumping and reduce product stability. To enhance global competitiveness, palm sugar must meet both the national and international certifications. The main challenges in this industry include the lack of Good Manufacturing Practices (GMP), limited adoption of modern processing technologies, and inconsistency in product quality. Quality improvement efforts through artisan training, production modernization, and supply chain strengthening are essential to ensuring that Indonesian palm sugar can compete in international markets. With proper strategies, palm sugar holds promising potential as a flagship export commodity from Indonesia.
EVALUATION OF INDONESIAN LOCAL SOYBEAN BASED ON CHEMICAL CHARACTERISTICS AND VISIBLE - NEAR INFRARED SPECTRA WITH CHEMOMETRICS Masithoh, Rudiati Evi; Abadi, Farid R; Sutiarso, Lilik; Rahayoe, Sri
BIOTROPIA Vol. 31 No. 1 (2024): BIOTROPIA Vol. 31 No. 1 April 2024
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2024.31.1.2054

Abstract

Soybean characterization is essential to ensure product quality during distribution according to internal values. In this context, non-destructive characterization method, such as spectroscopy, offer an effective and efficient approach to testing soybean quality in field applications. Among the instruments that are widely used for testing soybean quality, the semi-portable visible near-infrared (Vis-NIR) spectrometer operating at a specific range of 345 to 1033 nm has been proven effective. Therefore, this study aimed to investigate soybean seeds characterization using Vis-NIR spectroscopy with PCA and PLSR chemometric methods. The investigation was carried out using soybean seeds consisting of eight varieties locally produced on Java Island, Indonesia, including Dega1, Dena1, Deja2, Dering1, Devon1, Yellow Flap, Green, and Detam4, in the form of intact, crumble, flour, and paste. Several quality parameters such as protein, fat, crude fiber, carbohydrate, ash, water, chlorophyll, total carotene, vitamin C, and L*, a*, and b* values were measured across intact, crumble, flour, and paste samples. The results of Principal Component Analysis (PCA) showed that sample form and genotypes affected soybean classification. Furthermore, Partial Least Squares Regression (PLSR) showed adequate model calibration for crude fiber, chlorophyll, total carotene, and vitamin C parameters. Based on this analysis, it could be concluded that Vis-NIR spectroscopy proved to be suitable for the classification and prediction of soybean characterization.