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Journal : Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)

The Influence of Extremely Low Frequency (ELF) Waves for Pasteurization of Cow Milk Saleh, Anang Supriadi; Wibisono, Yossi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 2 (2024): June 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i2.361-368

Abstract

The extremely low frequency (ELF) magnetic field exposure technology for food processing and preservation is a future technology that produces better food quality. This research aims to examine the exposure of extremely low frequency (ELF) magnetic field waves to pasteurized cow milk and its effect on pH, chemical content, total microbial count, and sensory tests. This research was carried out by exposing ELF waves of 834.8 micro Tesla (μT) for 90 minutes to fresh milk and pasteurized milk. Samples were stored at room temperature then observed at 0, 2, 6, and 21 hours. Each treatment was repeated three times. The results showed that exposure to ELF waves had no effect on chemical content (P<0.05). The pH measurement shows that exposure to ELF waves could maintain the pH value. The total microbial count showed that exposure to ELF waves had an effect on reducing the total microbial count. The organoleptic test showed that pasteurized milk exposed to ELF waves had a smaller level of change. Based on observations, exposure to ELF waves has the potential to be developed in pasteurization, storage of cow milk, and retain its nutritional content. Keywords: Cow milk, Exposure, Extremely low frequency, Influence, Pasteurization.
Optimization of Mango Flour Formulation (Mangifera indica L) Arumanis Variety using Response Surface Methodology Yudiastuti, Silvia Oktavia Nur; Budiati, Titik; Wibisono, Yossi; Ardhiarisca, Oryza; Kusumasari, Findi Citra; Handayani, Wiwik; Hariyanti, Yesi Indah Dwi Kusuma
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1334-1343

Abstract

Mango (Mangifera indica L) is one of commodities with high food loss rate due to the characteristics of mango, which is easily spoiled and difficult to store. One of the strategies to reduce mango food loss caused by post-harvest handling is the diversification of mango products. Mango flour can be developed to minimize mango food waste and enhance its added value. This study aimed to determine the optimum formulation for making mango flour. The study used Response Surface Methodology (RSM) type Central Composite Design (CCD) to optimize mango flour yield, using three factors: rice flour concentration (X1: 2 5%), maltodextrin concentration (X2: 2-5%), and tapioca flour concentration (X3: 2-5%). The significance of response was carried out using analysis of variance (ANOVA) at the 95% confidence level (p<0.05). The linear model was the model suggested by software. Model analysis showed that rice flour and tapioca flour concentration significantly affected mango flour yield, while maltodextrin did not have a considerable impact. Based on the results of this study, the optimum conditions in making mango flour were found using rice flour concentration of 4.94%, maltodextrin concentration of 2.25%, and tapioca flour concentration of 4.88% to produce mango flour yield of 20.9578%. Keywords: Mango flour, Optimization, Response surface methodology, Yield.