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UNEJ e-Proceeding
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Articles 107 Documents
Search results for , issue "2016: Proceeding The 1st International Basic Science Conference" : 107 Documents clear
Filtration of Protein in Tempe Wastewater Using Cellulose Acetate Membrane Dwi Indarti; Badrut Tamam Ibnu Ali; Tri Mulyono
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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The protein content in the wastewater tempe high enough. Filtration of tempe wastewater  can use cellulose acetate membranes. Type cellulose acetate membranes used is ultrafiltration membranes. Pressure and protein concentration influenced on the flux, rejection, and fouling resistance. Membrane characteristics included flux, pore asymmetries, time compaction and permeability coefficient. The results showed that fouling resistance is influenced by the pressure and concentration of the feed solution. The higher the pressure will cause increased fouling resistance, while higher concentrations will cause fouling resistance decreases. The pressure and the higher the concentration of protein causes rejection decreasedFiltration of Protein in Tempe Wastewater Using Cellulose Acetate Membrane
A Zero Crossing-Virus Evolutionary Genetic Algorithm (VEGA) to Solve Nonlinear Equations M. Ziaul Arif; Zainul Anwar; Ahmad Kamsyakawuni
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Nonlinear equation is a mathematical problem that is quite difficult to solve. Its analytic solution is not easily discovered. There are several methods used to solve nonlinear equations and the obtained results is in the form of approximation to the analytical solution. Most of the numerical method need appropriate initial value to perform the accuration of the method. However, it will diverge if the initial value is inappropriate. Therefore, we propose discovering the solutions of nonlinear equations by applying metaheuristic methods. In this paper, we present the virus Evolutionary Genetic Algorithm (VEGA) combined with Zero Crossing Method at an early stage to solve nonlinear equations. This study was conducted to test the performance and accuracy of the combined both of the method by providing some examples.
The Correlation Between Perception And Behavior Of River Pollution By Communities Around Brantas Riverbank In Malang Kuni Mawaddah; Sueb Sueb
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Water is the most important element of the natural resources so that water pollution is a serious threat to thewell-being of the earth and its inhabitants. River water as a source of important functions in the community is needed buthuman can cause water pollution. The purposes of this study are to determine the public perception of maintainingcleanliness, pollution behavior in the Brantas riverbasin, and the relationship between perception and behavior. The methodused is a closed interview in accidental sampling technique. The respondents are people who live in the Brantas riverbank,Malang. Data were tested using Spearman correlation test because the data were not normally distributed. Spearmancorrelation of test results obtained significance value of 0.996 means that the public perception does not correlate with thebehavior of pollution in the Brantas River basin. Conclusions of this research are that public perception agree maintainingcleanliness, communities near Brantas riverbank often behave to pollute the river, and there is no correlation between theperception and behavior of river pollution by communities around the Brantas riverbank in Malang.
Analysis Of The Geothermal Potential Based Fault Zone In Burni Telong Bener Meriah, Aceh, Indonesia Gartika Setiya Nugraha; Marwan Marwan; Oky Ikhramullah; Susanti Alawiyah; Sutopo Sutopo
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Mount of Burni Telong located in Bener Meriah, Aceh, Indonesia is one of the mountains that have the potential for development of renewable energy from geothermal sources, but is still untapped. The evidence suggests that, to date Aceh still depends on power supplies from North Sumatra. This dependence often affects alternate electricity blackouts all over the province so that the necessary rationale for their source of power generation in Aceh. The purpose of this study was to analyze the potential development of Burni Telong as geothermal energy power plant in Aceh, Indonesia.This study was a survey with the approach in the field of geophysics. Analysis of potential geothermal done using the gravity method to investigate the distribution of mass in the subsurface. The study found that there are two tracks, namely: A-A' and B-B track'. A-A' tracks has four layers, composed of: Riolitic Tuff (1.77g/cm3), basaltic Tuff (2:12 gr/cm3), Diorites (2.78 gr/cm3),and basalt (3:00 gr/cm3). B-B' tracks has three layers, namely: Basaltic Tuff (2.12 gr/cm3); Diorites (2,78 gr/cm3), and basalt (3.00 gr/cm3). In both of these trajectories found two faults, namely: normal and Horst. It can be concluded that the difference in density contrast and hot springs that are parallel to the fault indicates a fault in Burni-Telong, so Burni Telong has the potential Geothermal and very likely to be developed as a source of electricity generation from geothermal energy in Aceh, Indonesia.
THE EFFECTS OF WATER FRACTION OF BITTER MELON (MOMORDICA CHARANTIA) LEAF EXTRACT IN MAMMARY GLAND DEVELOPMENT OF BALB/C MICE (MUS MUSCULUS) WITH HISTOLOGICAL AND MOLECULAR BIOLOGICAL ANALYSIS OF PROTEIN APPROACHES Nur Hayati; Afifah Nur Aini; Nafisatuzzamrudah Nafisatuzzamrudah; Umie Lestari
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Recently many breast-feeding mothers use chemical drugs to ease milk secretion, while the said drug could cause side effects if consumed in a long time. The problem could be solved by using natural medicine like bitter melon leaf because it contains charantin which is characteristically identical to phytosterol [6]. This study aimed to discover the potention of water fraction of bitter melon leaf extract to stimulate mammary gland development in Balb/c mice. The development of mammary gland was observed through histological approach by calculating the number of cells in mammary gland, and through molecular biological analysis of protein approach by using SDS-PAGE. The histology of mammary gland showed that the administration of the extract with concentration of 11,200 ppm had the highest number of cells, followed by 5,600 ppm; 22,400 ppm and 16,800 ppm. The result of SDS-PAGE on isolated mammary gland protein showed that the molecular weight of the proteins in the controlled treatment were 2, 5, 8, 10, 12, 19, 34, 40 and 49 kDa. In treatment with concentration of 5,600 ppm there were only 10, 12, 34, 40 and 49 kDa. In treatment with concentration of 11,200 ppm there were similar kinds of proteins with the controlled treatment, only without the 8 kDa protein. In treatment with concentration of 16,800 and 22,400 ppm, there were only 2, 5, 10, 12 kDa. The conclusion of this study was water fraction of bitter melon leaf extract could affect the development of mammary gland in Balb/c mice.
INPUT OF NUTRIENT (NITROGEN AND PHOSPHORUS) FROM THE CATCHMENT AREA INTO RAWAPENING LAKE OF CENTRAL JAVA Agatha Sih Piranti; Diana RUS Rahayu; Gentur Waluyo
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Nutrients (Nitrogen and Phosphorus) enter the waters in dissolved form or in sediment particles that reflect to condition of landuse activities that occur in the catchment area. This condition will determine the quality of the water and the lake productivity or trophic status. The purposes of this study were to assess how much nutrients input (N and P) that goes to Rawapening Lake and assess the biological response induced by lake. The observations was done by 4 times (2 times in the rainy season and 2 times in the dry season) in 9 of the river into the lake (River of Rengas, Panjang, Torong, Galeh, Parat, Legi, Muncul, Sraten, Kedungringin, Tuntang) as well as in 12 loc ations in the lake waters: area of Brebesan, Tourism of “Bukit Cinta”, Spring area, net cage 1, net cage 2, Kedungringin River estuary, and the outlet. The results showed that the TN input was up to 154,62 mg/sec and TP was up to 10,32 mg/sec. The Rawapening Lake had a deficit of TP up to 64.9% and TN up to 67.25%. It could be concluded that Rawapening lake had an acting as a sink and further it could served as a source of nutrients that lead to eutrophication condition.
OPTIMIZATION OF YOGURT FERMENTED MILK PRODUCTS WITH THE ADDITION OF NATURAL STABILIZER BASED ON LOCAL POTENTIAL OF TARO STARCH (COLOCASIA ESCULENTA) Aju Tjatur Nugroho Krisnaningsih; Dyah Lestari Yulianti; Imam Thohari; Puguh Surjowardojo
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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The aims of research were to improve the quality of the final product through the use of yogurt stabilizer based on local potential, easily obtainable stock and has a low price, namely taro starch (Colocasia esculenta). The method of research was laboratory experiment arranged in completely randomized design factorial. The first factor is the level of taro starch with 4 treatments (0%, 1%, 2%, 3%). The second factor is the concentration of starter with 3 treatments (1%, 3%, 5%). Each treatment was repeated 3 times. The variables measured and analyzed: 1) pH, 2) the acidity, 3) viscosity. The data were analyzed by Anova. If significant the Duncan’s Multiple Range Test was applied.The results showed the addition of stabilizer level provides a significant influence on the pH, acidity and viscosity of yogurt (P <0.01) but concentration starter not significant of pH and viscosity (P> 0.05) but very real effect on the acidity of the yogurt (P <0.01). Interaction taro starch level and inoculation starter does not give effect to the quality of the yogurt based on physico-chemical properties. pH yogurt with the addition of stabilizer level of 1%, 2% and 3% produce ideal pH after fermentation for ready consumption of 3.9. The acidity of the yogurt without stabilizer (0%) was 1,52% -2.02%. Addition of stabilizers 1% and above decreased the acidity of the yogurt. Level 3% of stabilizer provides the highest viscosity value of 27620 cP yogurt. While the lowest viscosity of the yogurt without addition of stabilizer (0%) of 840 Cp. Conclusions of research that the stabilizer taro starch level of 1% contribute to produce optimal quality yogurt products.
STRATEGIES FOR DEVELOPMENT OF BEEF CATTLE FARMING BASED ON INNOVATION TECHNOLOGY AND FEEDING PROGRAM TO MEET SELF SUFFICIENCY IN MEAT Romziah S.; Hario P. S.; Tri Bhawono D.
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
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Innovation and technology of feed supply for the beef cattle ration by using soy bean cake, pollard and corn oil, and it’s was combined with urea-fibrolite-molasses candy for cattle were significantly (p<0.05) increase the life weight gain of Rambon (Indonesian native beef cattle) as well as the utilization of feed were more efficient. When evaluated of the dressing percentage of the carcass and meat weight, these combination types of beef cattle feed bring a positive prospect for improving the performance of Rambon beef cattle.
FEATURE EXTRACTION OF HEART SIGNALS USING FAST FOURIER TRANSFORM Hindarto Hindarto; Izza Anshory; Ade Efiyan
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Heart disease is a disease that is very dangerous. Even today in Indonesia an estimated 20 million or approximately 10% of the population of the archipelago suffer from heart disease. Such conditions make cardiovascular disease the number one killer in Indonesia. Not only in Indonesia, the number of heart patients in the world very much, it is estimated there are at least one billion people. This study was designed with the aim to classify the heart signals, the data taken from Physiobank namely MIT-BIH Arrhythmia Database and MIT-BIH Normal Sinus Rhythm Database, the data is processed by taking the feature extraction methods Fast Fourier Transform. The results of the feature extraction method used will be selected prior to use for the classification process. Classification is using Backpropagation Neural Network. From the research found, the feature extraction method of Fast Fourier Transform by taking 64 point data after FFT process and backpropagation as classification of obtaining a classification accuracy rate of 87 %.
Deployment Porosity Estimation of Sandstone Reservoir in The Field of Hidrocarbon Exploration Penobscot Canada Himmah Khasanah; Puguh Hiskiawan; Supriyadi Supriyadi
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Porosity is defined as the percentage of empty spaces for storing fluid contained in rock.. Porosity becomes one of the requirements for determining reservoir which is good or bad. Porosity can be obtained from the seismic data has been acquired and processed previously; to obtain porosity from seismic data it is necessary determine an acoustic impedance value first. Acoustic impedance and porosity can be obtained by using deterministic inversion and neural network. Deterministic inversion operates in minimizing the difference between the acoustic impedance inversion results with the original. Deterministic inversion is part of the model-based inversion. The result of the inversion showed a correlation of 0.8 on a scale of 0-1. This result can be categorized a good inversion. Then acoustic impedance volume converted into volume porosity by using neural network. Neural network method showed a value of 0.2 for the difference between the acoustic impedance volume and volume porosity. The result of deterministic inversion and neural network method were the value of the distribution of porosity in the reservoir sandstone ranges from 13% to 23%.

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