International Journal of Science and Engineering (IJSE)
The scope of journal covers all area in the application on chemical, physical, mathematical, biological, agricultural, corrossion, and computer science to solve the engineering problems.
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<![CDATA[An Overview of Biocement Production from Microalgae ]]>
<![CDATA[Dessy Ariyanti]]>;
<![CDATA[Noer Abyor Handayani]]>;
<![CDATA[Hadi Hadiyanto]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.31-33
<![CDATA[The invention of microorganism’s involvement in carbonate precipitation, has lead the exploration of this process in the field of construction engineering. Biocement is a product innovation from developing bioprocess technology called biocementation. Biocement refers to CaCO3 deposit that formed due to microorganism activity in the system rich of calcium ion. The primary role of microorganism in carbonate precipitation is mainly due to their ability to create an alkaline environment (high pH and DIC increase) through their various physiological activities. Three main groups of microorganism that can induce the carbonate precipitation: (i) photosynthetic microorganism such as cyanobacteria and microalgae; (ii) sulphate reducing bacteria; and (iii) some species of microorganism involved in nitrogen cycle. Microalgae are photosynthetic microorganism and utilize urea using urease or urea amidolyase enzyme, based on that it is possible to use microalgae as media to produce biocement through biocementation. This paper overviews biocement in general, biocementation, type of microorganism and their pathways in inducing carbonate precipitation and the prospect of microalgae to be used in biocement production. Keywords— Biocement, Biocementation, Microalgae, CaCO3 precipitation]]>
<![CDATA[Synthesis and Characterization of Nafion-SiO2 Composite Membranes as an Electrolyte for Medium Temperature and Low Relative Humidity ]]>
<![CDATA[Mahreni Mahreni]]>;
<![CDATA[Eniya Listiani Dewi]]>;
<![CDATA[Tjukup Marnoto]]>;
<![CDATA[Harso Pawignyo]]>;
<![CDATA[Purwo Subagyo]]>;
<![CDATA[Endang Sulistyowati]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.48-53
<![CDATA[The weakness of the Nafion membrane as electrolyte of PEMFC associated with physical properties that is easy to shrink at temperatures above 80°C due to dehydration. Shrinkage will decrease the conductivity and membrane damage. Nafion-SiO2 composite membranes can improve membrane stability. The role of SiO2 in the Nafion clusters is as water absorbent cause the membrane remains wet at high temperatures and low humidity and conductivity remains high. The results showed the content of 2.8 wt% of SiO2 in the Nafion membrane, the conductivity of composite membrane is higher than the pure Nafion membrane that are 0.127 S cm-1 in dry conditions and 0.778 S cm-1 in wet conditions at room temperature. Compared with the pure Nafion membrane conductivity are 0.0661 S cm-1 and 0.448 S cm-1 respectively in dry and wet conditions.]]>
<![CDATA[Fast Local Binary Patterns for Efficient Face Recognition ]]>
<![CDATA[Mallikarjuna Rao G]]>;
<![CDATA[Vijaya Kumari G]]>;
<![CDATA[Babu G R]]>;
<![CDATA[Rajesh Viswanadula]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.14710/jitaa.%v.%i.87-92
<![CDATA[LBP, Local Binary Patterns, is an accepted technique for efficient face recognition. The local features improve the recognition process. However, high memory and computational resources are needed for LBP required approaches to improve the performance. Many people used LBP for extracting features and Support Vector Machine (SVM), histogram matching, neural networks as recognition tools. These approaches consume considerable computational resources. We have proposed a fast LBP which uses Two-level Correlation for the classification & recognition. The exhaustive experiments on FERET database 8750 images substantiate the performance compared to others. [Keywords— Face Recognition, LBP, Histogram Matching, Two-level Correlation, FERET data set]]]>
<![CDATA[The effect of tofu cake as an additional feed on local male sheep’s water consumption and their physiological response ]]>
<![CDATA[Wayan Sukarya Dilaga]]>;
<![CDATA[R. Adiwinarti]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.54-56
<![CDATA[Feeds are very important for the growth of animals due to it is contained almost all nutrients needed by the animals. Feeds are not only influence the animal growth but also their physiological response. The objective of this research was to investigate the effect of tofu cake as an additional feed replacing commercial concentrate on local male sheep’s water consumption and their physiological response such as body temperature, pulse, and rate of exhalation. The selected 15 local male sheep (in the age of 8-9 month with initial weight 12.53 ± 1.19 kg) were housed individually in cage for about 14 weeks include 4 weeks adaptation period and 10 weeks experiment.The experiment was conducted using completely randomized design with 3 different treatments and 5 times repetition; T0 = ad libitum grass field + commercial concentrate, T1= ad libitum grass field + wet tofu cake, T2= ad libitum grass field + dried tofu cake, and water were provided in ad libitum method. Data analysis was done using analysis of variance (ANOVA) followed by Duncan’s multiple range test. The result shown that dried tofu cake as an additional feed replacing commercial concentrate was able to increasing the water consumption of local male sheep. Meanwhile the physiological test performed stable in the present of wet or dried tofu cake. Keywords— alternative feed, physiological response of male sheep]]>
<![CDATA[Influence of Silica/Sulfonated Polyether-Ether Ketone as Polymer Electrolyte Membrane for Hydrogen Fueled Proton Exchange Membrane Fuel Cells ]]>
<![CDATA[Sri Handayani]]>;
<![CDATA[Eniya Listiani Dewi Listiani Dewi]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.27-30
<![CDATA[The operation of non-humidified condition of proton exchange membrane fuel cell (PEMFC) using composite sPEEK-silica membrane is reported. Sulfonated membrane of PEEK is known as hydrocarbon polyelectrolyte membrane for PEMFC and direct methanol fuel cell (DMFC). The state of the art of fuel cells is based on the perluorosulfonic acid membrane (Nafion). Nafion has been the most used in both PEMFC and DMFC due to good performance although in low humidified condition showed poor current density. Here we reported the effect of silica in hydrocarbon sPEEK membrane that contributes for a better water management system inside the cell, and showed 0.16 W/cm2 of power density which is 78% higher than that of non-silica modified [Keywords: composite membrane, polyether-ether ketone, silica, proton exchange membrane fuel cell].]]>
<![CDATA[Editor board ]]>
<![CDATA[editor support]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.ii
<![CDATA[Isolation and Fermentation of Lactobacillus plantarum JR64 as an Omega 6 Probiotic Producer ]]>
<![CDATA[Lanjar Sumarno]]>;
<![CDATA[Djumali Mangunwidjaja]]>;
<![CDATA[Anas M. Fauzi]]>;
<![CDATA[Khaswar Syamsu]]>;
<![CDATA[Nastiti Siswi Indrasti]]>;
<![CDATA[Bambang Prasetya]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.42-47
<![CDATA[Application of lactic acid probiotic bacteria in health food diversification currently is progressing rapidly. It is encouraged the study of searching the potential strains from local resources (Ponorogo Residence) namely noni fruits (badeg pace) and noni wine. Aims of this study were to perform the isolation, identification, and production of probiotic Lactobacillus sp. JR64 fermentation process as a producer of Omega-6 (ω-6) lowering cholesterol and design of probiotic creamy product. Beginning stages of research was strains isolating and in-vitro testing, the best result were used in molecular identification technology development for the production of metabolites through the manipulation of environmental variation of glucose 20 g / l, 30 g / l and 40 g / l that influenced the substrate concentration of linoleic acid productivity. The result of new isolates isolation showed that isolates that obtained from noni wine, Lactobacillus plantarum JR64, was potential as probiotic condidate. The effieciency of fermentation substrates using Yx/s and Yp /s in the exponential phase was the highest value for the fermentation of 24 hours of Yx/ s; 17.03% and Y p/s; 74.72%, while the results of design and the best formulation for viability cells of lactobacillus plantarum probiotics JR64 was composed of 15 g and 50g butter 15 g icing sugar as well as during storage of the refrigerant temperature was 8.92 x 108 CFU / ml. [Key Words : Omega-6, Lactobacillus plantarum JR64, fermentation]]]>
<![CDATA[A Technical Approach on Large Data Distributed Over a Network ]]>
<![CDATA[Suhasini G]]>;
<![CDATA[Mamtha Billa]]>;
<![CDATA[Ashwini P]]>
<![CDATA[ International Journal of Science and Engineering Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Chemical Engineering Diponegoro University ]]>
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DOI: 10.12777/ijse.2.2.34-41
<![CDATA[Data mining is nontrivial extraction of implicit, previously unknown and potential useful information from the data. For a database with number of records and for a set of classes such that each record belongs to one of the given classes, the problem of classification is to decide the class to which the given record belongs. The classification problem is also to generate a model for each class from given data set. We are going to make use of supervised classification in which we have training dataset of record, and for each record the class to which it belongs is known. There are many approaches to supervised classification. Decision tree is attractive in data mining environment as they represent rules. Rules can readily expressed in natural languages and they can be even mapped o database access languages. Now a days classification based on decision trees is one of the important problems in data mining which has applications in many areas. Now a days database system have become highly distributed, and we are using many paradigms. we consider the problem of inducing decision trees in a large distributed network of highly distributed databases. The classification based on decision tree can be done on the existence of distributed databases in healthcare and in bioinformatics, human computer interaction and by the view that these databases are soon to contain large amounts of data, characterized by its high dimensionality. Current decision tree algorithms would require high communication bandwidth, memory, and they are less efficient and scalability reduces when executed on such large volume of data. So there are some approaches being developed to improve the scalability and even approaches to analyse the data distributed over a network.[keywords: Data mining, Decision tree, decision tree induction, distributed data, classification]]]>
