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Jurnal Keteknikan Pertanian Tropis dan Biosistem
Published by Universitas Brawijaya
ISSN : -     EISSN : 2656243X     DOI : https://doi.org/10.21776/ub.jkptb
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Control & Systems Engineering Electrical & Electronics Engineering Energy Mechanical Engineering
Jurnal Keteknikan Pertanian Tropis dan Biosistem (JKPTB) (ISSN: 2656-243X) has published the state-of-art articles which focus on both fundamental studies and applied engineering including Power and Agricultural Machinery, Mechatronics and Agro-industrial Machinery, Food and Post-Harvest Technology and Soil and Water Engineering. By providing an update issue and current topic in agricultural technology field, JKPTB becomes the reference for many scientist and stakeholders who work on Agricultural Engineering
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 443 Documents
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Effect of a Fuzzy Neo-Based Temperature Control System on the Physicochemical Characteristics of Sweet Corn Yoghurt Yunira, Eka Nur'azmi; Az-zahra, Nilandra Ayu; Pratama, Borneo Satria
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 1 (2026): April 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Milk can be utilized as a raw material in yoghurt production. The fermentation process of yoghurt involves Lactobacillus bulgaricus and Streptococcus thermophilus as lactic acid-producing microorganisms. The fermentation temperature is a crucial factor affecting the quality of yoghurt; therefore, an accurate temperature control system is required, one of which can be achieved through the implementation of the fuzzy control method. The addition of sweet corn extract is also applied to enhance the flavor of the product. This study aims to analyze the effect of implementing a fuzzy Neo-based temperature control system and the variation of sweet corn extract concentration on the physicochemical properties of yoghurt. The fermentation process was carried out at temperatures of 39.97 °C and 44.99 °C with the addition of 30% and 60% sweet corn extract. The results showed that the best treatment was obtained from yoghurt produced with fuzzy-based temperature control at 44.99 °C and 30% sweet corn extract addition (F-30%-44.99 °C), which exhibited a pH value of 4.3, total soluble solids of 11.5°Brix, viscosity of 124 m.Ps, and lactic acid content of 0.7905%.
Optimized ResNet-18 Model for Ripeness Classification of Javanese Long Pepper (Piper retrofractum) Using Reflectance and Fluorescence Imaging Sandra; Damayanti, Retno; Sa'diyah, Mitha; Nainggolan, Rut Juniar
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 1 (2026): April 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Javanese long pepper (Piper retrofractum Vahl.) is a high-valuable horticultural commodity crop whose quality and bioactive composition depend strongly on fruit ripeness. Conventional visual assessment is often subjective and inconsistent, emphasizing the need for an objective and non-destructive alternative. This study aimed to develop an automated classification system for determining ripeness stages (green, orange, and red) using reflectance (visible light) and fluorescence (ultraviolet) imaging analyzed through a fine-tuned ResNet-18 deep learning model. A total of 300 images per modality were captured under controlled studio conditions and processed through standardized background removal, size normalization, and data augmentation. Color feature analysis across RGB, CIELAB, and HSV color spaces revealed that reflectance imaging effectively captured pigment transitions associated with chlorophyll degradation and carotenoid accumulation, with the a* channel serving as the most discriminative single-channel indicator. Fluorescence imaging provided complementary physiological information through chlorophyll emission dynamics, exhibiting greater inter-class overlap particularly between green and orange stages. The ResNet-18 model was evaluated using three optimizers (Adam, SGDM, and RMSprop) based on accuracy, precision, recall, Macro F1-score, and loss. For reflectance imaging, SGDM and RMSprop both achieved perfect test classification (accuracy = 100%, Macro F1 = 1.000), while fluorescence-based models achieved up to 97.78% accuracy. Training curve analysis confirmed stable convergence without overfitting across all combinations. Confusion matrix analysis showed that misclassifications were confined to adjacent ripeness stage boundaries, and Grad-CAM visualization confirmed physiologically consistent spatial attention patterns in the best-performing models. The proposed imaging and modeling pipeline offered a reproducible framework for postharvest quality evaluation and standardization of Piper retrofractum and similar horticultural commodities.
Integration of Regression Analysis and Spatial Interpolation in Multi-Sensor Soil Calibration Optimization Based on RS485 to Support Precision Agriculture Priyonggo, Budi; Hafidz, Muhammad; Azadi, Athoillah; Wirawan, Adi; Nucholis, Jati; Muharfiza, Muharfiza; Jahari, Mahirah
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 1 (2026): April 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Technological developments provide significant opportunities to utilise measurement equipment to enhance the effectiveness and efficiency of agricultural production. Accurate soil content measurement is very important for evaluating soil quality, helping farmers understand soil conditions and take appropriate steps to improve or maintain it. Calibration is required to ensure that the measuring instruments used provide accurate readings. The objective of this research was to calibrate the soil comprehensive sensor type RS485. The parameters tested are WET sensor, pH sensor, and temperature sensor. Data analysis was conducted using spatial interpolation, linear regression, and multiple linear regression. The calibration results obtained the calibration function  (R2 0.9566) for the WET sensor, (R2 0.9845) for the pH sensor, and  (R2 0.9963) for T sensor. The results of the spatial interpolation analysis using the calibration function indicate an improvement in the accuracy between the tested sensor and the calibrator compared to before calibration. The improvement in the accuracy of the parameter values was obtained by performing multiple linear regression analysis involving all sensors. The equations WETe4, pHe4, and Te4 were chosen as the best estimated equations that can improve the accuracy of sensor readings. The results of spatial interpolation analysis of the functions WETe4, pHe4, and Te4 showed a better improvement in accuracy compared to the calibration function. The equations WETe4, pHe4, and Te4 can be used as alternative functions to approximate the correct values in the use of soil comprehensive sensor type RS485. The spatial interpolation analysis conducted can provide an illustration of values based on color distribution to understand of the distribution of those values.

Page 45 of 45 | Total Record : 443

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