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Journal of Bioresources and Environmental Sciences
Published by CBIROE Scientia Academy
ISSN : 28298314     EISSN : 28297741     DOI : https://doi.org/10.61435/jbes.xxx.xxx
Core Subject : Science, Social,
Earth & Planetary Sciences Environmental Science
The Journal of Bioresources and Environmental Sciences (p-ISSN: 2829-8314; e-ISSN: 2829-7741) co-published by the Center of Biomass and Renewable Energy (CBIORE) aims to foster interdisciplinary communication and promote understanding of significant bioresources and environmental issues. The journal seeks to promote research on all aspects pertaining to the identification, utilization, and conversion of bioresources into bioproducts and their impacts on the environment including the fate and behavior of emerging contaminants, bioresources utilization impact on the environment, human activity to environmental contaminants and their health effects, and environmental remediation and management. The journal publishes original articles, reviews, commentary, methods, case reports, and opinions that are of high quality, high interest, and far-reaching consequence. The journal was commenced in 2022 and publishes 3 issues per year (April, August, December)
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Ekologi
Articles 5 Documents
 1 
Search results for , issue "Vol 1, No 2 (2022): August 2022" : 5 Documents clear
Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab Achmad Chalid Afif Alfajrin; H. Hadiyanto
Journal of Bioresources and Environmental Sciences Vol 1, No 2 (2022): August 2022
Publisher : BIORE Scientia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbes.2022.14413

Abstract

In the development of phytoremediation this method can be simulated quite concisely and precisely. Simulations are carried out to predict plant behavior towards several different treatments, for example plant species, also types and concentrations of contaminants. In this study a dynamic model of phytoremediation has been made using sunflower plants and 134Cs and 60Co radionuclides. This study was developed by mimicking the interaction of soil and plants to be simulated into Phytoremediation Dynamic Model (PDM). Diverse mathematical algorithms implemented to characterize phytoremediation, systems such as differential equation, statistical correlation, and dynamic system approach. The error value obtained is different for each contaminant for each variation in concentration, which ranges from 0,0006-0,6349 for 134Cs contaminants and 0,0089-0,4157 for 60Co contaminants. The error value is quite small, and the overall simulation data has approached the experimental data. Factors that influence the results of calculated data include saturation point values, as well as the absorption rate of each part of the plant obtained from calculations and estimates. This model has proven to be able to mimic plant responses to contaminants 
Palm Oil Milling Effluent (POME) Waste Processing by Using Microalgae Chlamydomonas sp. Riky Yonas; Uray Irzandi; Hantoro Satriadi; W. Widayat; Marcelinus Christwardana; H. Hadiyanto
Journal of Bioresources and Environmental Sciences Vol 1, No 2 (2022): August 2022
Publisher : BIORE Scientia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbes.2022.15152

Abstract

Along with the growth in oil palm output, the amount of trash produced will also increase. Every palm oil mill is responsible for the disposal of liquid waste known as palm oil mill effluent (POME). POME includes very high levels of BOD and COD, which may hinder the development of microalgae. Before POME may be utilized as a medium for the growth and development of microalgae, a detailed investigation is required to establish the pretreatment measures necessary to reduce the BOD and COD levels. The purpose of this investigation of POME waste as a substrate for the growth and development of microalgae is to examine the POME processing procedure utilizing wild microalgae. The experimental technique consisted of adding POME and microalgae to the Erlemeyer in accordance with the required proportion. Research demonstrates that POME pond IV waste may be utilized as a substrate for the development of wild microalgae to lower POME waste BOD and COD levels. The variables used were the ratio of POME to microalgae volume and the quantity of nutrients supplied. Microalgae growth at a ratio of 1:4 produced the greatest decreases in BOD and COD, namely 61.66 ppm and 173.33 ppm from 110.6 ppm and 496.67 ppm, respectively. The impact of adding nutrient C at a concentration of 120 ppm led to the greatest decrease of BOD and COD, namely 65.33 ppm and 186.67 ppm, whereas adding nutrient N at a concentration of 40 ppm led to the greatest reduction of BOD and COD, namely 55.41 ppm and 158.33 ppm.
Effect of Storage on The Chemical Quality of Pasteurized Milk with Supplemented Soybean Oil and Phycocyanin Angela Nitia Nefasa; Ega Zahrotun Nisa; Marcelinus Christwardana
Journal of Bioresources and Environmental Sciences Vol 1, No 2 (2022): August 2022
Publisher : BIORE Scientia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbes.2022.14728

Abstract

The interaction between the addition of soybean oil and phycocyanin extract on the protein, fat, and solid non-fat content of pasteurized milk after a one-week storage period is highly important to investigate. Soybean oil is used to improve the quality of pasteurized milk, particularly its chemical quality, consisting of fat, protein, and Solid Non-Fat (SNF). Phycocyanin extract provides a source of protein, whereas soybean oil contains healthy fatty acids. Before the fresh milk is pasteurized, soybean oil and phycocyanin are added. The LTLT (Low Temperature Long Time) technique was used to pasteurize the milk at 63 °C for 30 minutes. After the pasteurization procedure was completed, the milk samples were refrigerated for one week at a temperature of 4 °C. Following the storage period, the chemical composition of pasteurized milk is examined. With the addition of soybean oil and phycocyanin extract, the protein content of milk rose, as shown by the findings. The sample T1 with a concentration of 0.45% soybean oil and 0.50% phycocyanin extract had the greatest amount of protein (3.58). The sample T2 with 0.45% soybean oil concentration and phycocyanin extract (1%) had the greatest fat content (6.4%). Adding soybean oil and phycocyanin extract enhanced the total SNF concentration. On the basis of the study conducted, it can be concluded that the addition of soybean oil and phycocyanin extract to pasteurized milk has an influence and interaction on the milk's protein, fat, and SNF content. The addition of soybean oil and phycocyanin extract to pasteurized milk held for one week may boost protein, fat, and SNF concentrations.
Cultivation of Microalgae Spirulina platensis in Palm Oil Mill Effluent (POME) Media with Variations of POME Concentration and Nutrient Composition Fitria Yuli Anggita Sari; I Made Aditya Suryajaya; Marcelinus Christwardana; H. Hadiyanto
Journal of Bioresources and Environmental Sciences Vol 1, No 2 (2022): August 2022
Publisher : BIORE Scientia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbes.2022.15052

Abstract

Indonesia and Malaysia are recognized as the world's leading producers of palm oil. Along with the growth of the palm oil industry in Indonesia, the amount of Palm Oil Mill Effluent has increased. Palm Oil Mill Effluent (POME) is a liquid byproduct of the palm oil production process. POME has been treated using aerobic and anaerobic ponds to lower Chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) levels, but it still includes nutrients like as C,N,P that are beneficial to the development of microalgae. On this study, Spirulina platensis was grown in POME medium with 20%, 40%, and 60% V. concentrations. Every two days, the nutrients Urea, NaHCO3, and TSP were administered. Seven days of aeration and 24-hour lights are used throughout the cultivation phase. The results indicate that POME with a 20 % concentration is the optimal medium for plant growth. Add 25 ppm Urea, 50 ppm TSP, and 200 ppm NaHCO3 for the optimal nutritional composition. At the same treatment on various medium, the highest growth rate of Spirulina platensis is determined to be µ = 0.128% per day, with an optical density of 0.648. Carbon reductions range from 83.03 % to 84.10 %, while Nitrogen savings range from 78 % to 79.55 % when POME is used as a growing medium. This study also shown that the C, N, and P concentrations of POME fall by 93 to 98 %, 99 to 99.5 %, and 92 to 97 %, respectively.
Optimization of light intensity and color temperature in the cultivation of Chlorella vulgaris culture using the Surface Response Method Marcelinus Christwardana; H. Hadiyanto; Wahyu Zuli Pratiwi
Journal of Bioresources and Environmental Sciences Vol 1, No 2 (2022): August 2022
Publisher : BIORE Scientia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbes.2022.14410

Abstract

Microalgae have an important role as a source of biomass in producing energy. One type of microalgae that has the potential to be developed is Chlorella vulgaris. Several factors that affect the growth and biomass production of Chlorella vulgaris microalgae are color temperature and light intensity because they play an important role in the photosynthesis process. This study aims to influence the effect of light and color temperature and optimize these parameters using Response Surface Methodology (RSM). Two independent variables were varied: light intensity 200, 400, 600, 800, 1000 lux and color temperature 3000, 4000, 5000, and 6000 K. The results showed that the average value of Chlorella vulgaris growth was higher along with higher light intensity. At a color temperature of 4000 K, the highest biomass yield and the most negligible biomass production were found at 6000 K. At a color temperature of 4000 K, it is feasible to apply it as an alternative lighting source in the production of Chlorella vulgaris. The combination of light intensity and color temperature shows that the specific growth rate and doubling time have opposite trends where high values produce low values and vice versa. Growth in dark conditions, the specific growth rate was 0.0026 day-1, and the optimal light intensity at 600 lux treatment. ANOVA evaluation showed that color temperature greatly affected growth. Based on the optimization, the optimal specific growth rate of 00751day-1 with the conditions of light intensity and color temperature of 556 lux and 4152 K, respectively.  

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