H. Hadiyanto
School of Postgraduate Studies, Diponegoro University

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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 : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1227.229 KB) | 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 : Diponegoro University

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.