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Effect of relative humidity and light exposure on fluorescence compound dynamics, soluble solid and acidity of Japanese Citrus Iyokan during postharvest treatment Muharfiza Muharfiza; Dimas Firmanda Al-Riza; Nie Sen; Yasushi Kohno; Tetsuhito Suzuki; Makoto Kuramoto; Yuichi Ogawa; Naoshi Kondo
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 2 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.02.6

Abstract

The Miyauchi iyokan (iyokan) citrus fruit is typically harvested in late December to prevent damage from the winter weather. At the time of harvest, the ratio of Soluble Solids (SS) to acid content is generally low, commonly used to assess the quality of the juice. Therefore, the goal during postharvest treatment is to decrease the acid content and improve the SS levels. The quality of citrus can be influenced by environmental factors such as relative humidity (RH) and exposure to light, so it is important to monitor their effects. Hence, this study aims to observe the changes in internal quality indicators, such as the SS/acid ratio and fluorescence compounds, under different RH and light conditions to understand how the citrus characteristics are affected. The postharvest treatment involved storing the citrus fruit at temperatures between 5-10°C for two months under various conditions i.e., in the dark and exposed to light, with high RH (80-90%) and low RH (40-50%). The SS/acid ratio did not show significant changes during the two months of storage under any treatments. However, the high RH condition resulted in a slightly higher SS/acid ratio. Similarly, the Tryptophan-like compound did not exhibit any significant response to the different treatments. However, the intensity of fluorescence from polymethoxylated flavones (PMFs) was higher in the dark treatment compared to the light treatment. PMFs play various roles in signaling and defense mechanisms in plants. Additionally, there was a notable increase in PMFs after thirty days of storage, indicating a response to light-induced stress.
Uji kinerja mesin pengurai sabut kelapa Aninditya, Mas Wisnu; Maulidina Ananda Putri, Dzalika; Muharfiza, Muharfiza
Sultra Journal of Mechanical Engineering Vol 4 No 1 (2025): Sultra Journal of Mechanical Engineering
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54297/sjme.v4i1.1253

Abstract

Sabut merupakan bagian selimut yang berupa serat kasar kelapa. Sabut kelapa dapat diolah menjadi serat sabut kelapa (cocofiber) dan serbuk sabuk kelapa (cocopeat) yang memiliki nilai ekonomis yang tinggi. Pembuatan mesin pengurai sabut kelapa menjadi cocofiber dan cocopeat diharapkan mampu meningkatkan nilai ekonomis dari kelapa. Adapun tujuan dari pelaksanaan tugas akhir ini adalah untuk mengetahui kapasitas produksi mesin pengurai sabut kelapa, efisiensi penyeratan sabut kelapa, dan melakukan analisis keseragaman panjang serat sabut. Metode yang digunakan yaitu metode kuantitatif berupa uji verifikasi dan uji kinerja. Berdasarkan hasil pengujian didapatkan hasil kapasitas produksi tertinggi yaitu pada perlakuan sabut basah sebesar 10,36 kg/jam. Mesin pengurai sabut kelapa ini lebih efisien jika menggunakan sabut basah. Sabut basah lebih mudah terurai dikarenakan kondisi sabut yang tidak keras. Berdasarkan hasil pengukuran keseragaman panjang serat sabut dengan panjang 10 cm, serat sabut basah memiliki ukuran yang lebih panjang dengan persentase sebesar 55,72%.
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/ub.jkptb.2026.014.01.13

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.