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INDONESIA
Jurnal ILMU DASAR
Published by Universitas Jember
ISSN : 14115735     EISSN : 24425613     DOI : -
Core Subject : Science, Education,
Jurnal ILMU DASAR (JID) adalah jurnal ilmiah yang melingkupi bidang matematika, fisika, kimia dan biologi. Naskah yang diusulkan untuk diterbitkan Jurnal Ilmu Dasar adalah naskah yang belum pernah diterbitkan dan atau tidak sedang dipertimbangkan penerbitannya di majalah lain. Jurnal Ilmu Dasar menerima tulisan hasil penelitian dasar (bukan aplikasi) untuk bidang matematika, kimia, fisika, dan biologi. Naskah ilmiah ditulis dalam bahasa Indonesia atau dalam bahasa Inggris yang baik. Secara lebih detail dapat dilihat dari pedoman penulisan.
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Articles 15 Documents
Search results for , issue "Vol 11 No 1 (2010)" : 15 Documents clear
A Prototype Fabrication of Sensitive Porous Silicon NOx (x=1,2) Gas Sensor Sudiana, Nyoman; Anas, Muhammad; Hafid, Muhammad Jahiding
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

A prototype of (porous silicon (PS) based) NO(x=1.2) gas sensor based on porous silicon (PS) (operated at room temperature) has been fabricated. The sensor could be operated at room temperature. The (PS) basic material for the material sensor ( i.e. PS) was fabricated in the previous research by varying (parameter of the HF concentrations) concentrations of HF (what is HF?) and (the anodization time) time of anodizations. Its structure, as well as its optic, has been characterized. In this research, we did electrical characterization of PS to find its conductivity. The conductivity of PS is important because PS, as a sensor, utilizes the changes of conductivity when it is passed by NO(x=1.2). (The influence of these parameters on I-V characteristics of the PS and on the sensor performances has been studied in detail) The changes of electrical current because of the varying NO concentrations with time were measured using a current measuring system, then plotted. The result (shows) showed that the sensor could detect NO (and NO) gasses ranging from 16 ppb to 200 ppb and NO gas ranging from 12 ppb to 200 ppb, respectively at room temperature (28C) and at adjusted currents ranging from 20 to 800 μA. The result also showed that the sensor was not completely reversible for NO. xxx22ox 
Impurity Free Vacancy Disordering (IFVD) of InxGa1-xAs/InP Quantum Well Structures for Monolithic Integration of Different Optoelectronic Devices Gareso, P L
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Impurity free vacancy disordering (IFVD) technique has been used to study the atomic intermixing of InxGa1-xAs/InP quantum well structures using a SiO2 and a TiO2 dielectric layer. Three different indium composition in InGaAs QWs were investigated, lattice-matched (LM), compressively-strained (CS) and tensile-strained (TS). Based on Photoluminescence results, the atomic intermixing between the quantum well and the barrier regions enhanced when the samples were coated with SiO2 layers. Although TiO2 layers were able to suppress the intermixing in InGaAs/InP system, the suppression was not significant compared to the AlGaAs/GaAs system. Based on a fitting procedure that was deconvoluted from the photoluminescence spectra including theoretical modeling, the electron-heavy hole and electron-light hole transitions were identified and a ratio of the group V to the group III diffusion coefficients (k) were obtained. The k ratio of the InGaAs/InP samples capped with SiO2 is relatively larger than of samples capped with TiO2 layers. 
OLS, LASSO dan PLS Pada data Mengandung Multikolinearitas Dewi, Yuliani Setia
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Correlation between predictor variables (multicollinearity) become a problem in regression analysis. There are some methods to solve the problem and each method has its own complexity. This research aims to explore performance of OLS, LASSO and PLS on data that have correlation between predictor variables. OLS establishes model by minimizing sum square of residual. LASSO minimizes sum square of residual subject to sum of absolute coefficient less than a constant and PLS combine principal component analysis and multiple linear regression. By analyzing simulation and real data using R program, results of this research are that for data with serious multicollinearity (there are high correlations between predictor variables), LASSO tend to have lower bias average than PLS in prediction of response variable. OLS method has the greatest variance of MSEP, that is mostly not consistent in estimating the Mean Square Error Prediction (MSEP). MSEP that is resulted by using PLS is less than that by using LASSO. 
Spline Estimator in Multi-Response Nonparametric Regression Model Lestari, Budi; Budiantara, Nyoman; Sunaryo, Sony; Mashuri, Muhammad
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

In many applications two or more dependent variables are observed at several values of the independent variables, such as at time points. The statistical problems are to estimate functions that model their dependences on the independent variables, and to investigate relationships between these functions. Nonparametric regression model, especially smoothing splines provides powerful tools to model the functions which draw association of these variables. Penalized weighted least-squares is used to jointly estimate nonparametric functions from contemporaneously correlated data. In this paper we formulate the multi-response nonparametric regression model and give a theoretical method for both obtaining distribution of the response and estimating the nonparametric function in the model. We also estimate the smoothing parameters, the weighting parameters and the correlation parameter simultaneously by applying three methods: generalized maximum likelihood (GML), generalized cross validation (GCV) and leaving-out-one-pair cross validation (CV). 
The Effect of Synthetic Estrogen on Hepar Stucture And Level of SGOT and SGPT of Balb’C Female Mice (UMus musculus) Fajariyah, Susantin; Utami, Eva Tyas; Arisandi, Yunita
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

The objectives of this study were to observe the effect of synthetic estrogen (diethylstilbestrol/DES) on hepar structure and level of SGOT as well as SGPT of female mice (Mus musculus). Mice were gavage by DES dose 0.084 μg/g bb, 0.168 μg/g bb, 0.336 μg/g body weight, sesame oil and control. DES was treated by gavage for 15 days. Observation were performed liver structure contain of number of normal hepatocyte, and hepatocyte disruption (picnosis, vacuole cell, and necrosis), also SGOT-SGPT level. The result showed that DES effected to the disruption of hepatocyte particularly necrosis was relativity high in 0,168 μg/g bb DES treatment. SGOT and SGPT level on blood increased after DES treatment. 
Analysis of DNA Fragment Obtained from Groupers (Epinephelus fuscoguttatus) Challenged by Vibrio alginolyticus Triana, St Hidayah
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

The objective of this study was to analyse the size of DNA fragment from both resistant and susceptible groupers (Epinephelus fuscoguttatus) after infection by Vibrio alginolyticus. This study was conducted by two steps, firstly, determination of Lethal Concentration (LC50) of Vibrio alginolyticus to obtain fish which resistant and susceptible against Vibrio alginolyticus infection. Secondly, analysis of DNA fragment from both resistant and susceptible fish against Vibrio alginolyticus infection by PCR-RAPD method. In order to analyse the fragment of DNA from the fish, DNA was extracted and the concentration was counted using Kit. Sixteen primers were used, which six primers (RAPD 1-6) were from RAPD Kit, other primers were OPA-14, -A, -B, -C, and -D, YNZ 22, UBC-122, -158, -456, and -457. The results demonstrated that the concentration of bacteria that caused 50 % of fish mortality (LC50)was 7.4 × 105 CFU/L. Based on this concentration, the number of fish which were resistant and susceptible against Vibrio alginolyticus infection were obtained. For the DNA fragment analysis, the concentration of DNA after extraction ranges from 448 μg/ml to 3320 μg/ml with the purity ranges from 86-95 %. From 16 primers used for PCR-RAPD, only 6 primers showed DNA fragments in the gel electrophoresis. Those primers are OPA-14, YNZ 22, UBC-122, -158, -456, and -457. The number of DNA fragments was higher in the group of resistant fish (average 6.4 fragments) than in the group of susceptible fish (average 4.9 fragments). Fifty seven percent (57%) from resistant fish showed specific DNA fragments with size 2.0 kb, indicate that these fragment sizes have a potential role to be used as a marker for obtaining the resistant fish against bacterial infection. 
Probit Model on Multivariate Binary Response Using Simulated Maximum Likelihood Estimator Nugraha, Jaka; Guritno, suryo; Haryatmi, Sri
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

In this paper, we discuss probit model on multivariate binary response. We assume that each of n individuals is observed in T responses. Yit is tth response on ith individual/subject and each response is binary. Each subject has covariate Xi (individual characteristic) and covariate Zijt (characteristic of alternative j). Response on individual ith can be represented by Yi = (Yi1,....,YiT), Yit is tth response on ith individual/subject and each response is multinomial. In order to simplify, we choose one of individual characteristics and alternative characteristics. We use simulated maximum likelihood estimator (SMLE) methods to estimate the parameter based on Geweke-Hajivassiliou-Keane (GHK) simulator. We find the first derivative of likelihood function for multivariate binary probit. Then, we expand to multivariate multinomial response. The first derivative is used in the BHHH (Berndt, Hall, Hall, Hausman) iteration to obtain estimators. 
Screening of Genomic Library of Soybean Cultivar Lumut by Using Peroxidase Gene from Arabidopsis thaliana as Probe Suharsono, Suharsono; Juliyanto, Teguh; Jusuf, Muhammad
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Screening to genomic library of soybean cv. Lumut by using gene encoding for peroxidase (per) from A. thaliana as a probe has an objective isolate the whole gene of per from soybean. The probe was labeled by non-radioisotope alkalin phosphatase. Screening was done by two steps. The first, screening was done to 105 recombinant lambda phages containing genome of soybean cv. Lumut. After southern hybridization, positive signal of plaques were isolated and screened for the second time. After second screening, some recombinant lambda phages containing putatively per genes were isolated. Excision from recombinant lambda phages into recombinant plasmid was successfully done in Escherichia coli strain BM25.8. The plasmid DNAs were isolated from E. coli strain BM25.8 and introduced into E. coli strain DH5α for multiplication. Plasmid DNAs were digested by EcoRI and transferred onto nylon membrane hybond N+. Southern hybridization analysis showed that one clone, L10/R/3/4, contain per gene in the 7.7 kb EcoRI fragment. This fragment is inserted into pSportI. 
Visualization of Iris Data Using Principal Component Analysis and Kernel Principal Component Analysis Djakaria, Ismail; Guritno, suryo; Kartiko, Sri Haryatmi
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Principal component analysis (PCA) is a method used to reduce dimentionality of the dataset. However, the use of PCA failed to carry out the problem of non-linear and non-separable data. To overcome this problem such data is more appropriate to use PCA method with the kernel function, which is known as the kernel PCA (KPCA). In this paper, Iris dataset visualized with PCA and KPCA, that contains are the length and the width of sepal and petal. 
In Vitro Acitivities Test of Papaya Leaf Extract (Carica papaya. LINN) as an Antimalaria Agent Rehena, Johanis F
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Based on WHO’s estimation, there are at least 300-500 million people in the world infected by Malarian disease every year, 110 million people show the symptom, and 2.7 million people died. People who suffer from malaria in Kairatu regency are 1.296 people. Therefore, the invention of Malarian medicines is hoped to provide new medicine with mechanism and potential target and safe for the society. The objective of this study is to find out the role of extracted papaya’s leaf Cibinong and Solo Variety as antimalaria. The method is laboratory experimental, which is the sample of papaya’s leaf about 400 gram taken from Kairatu regency Maluku Province. Parasite used is Plasmodium falciparum strain G2300. antimalaria activity test in vitro is done toward the result of extracted papaya’s leaf dissolved in DMSO then it is done on flat titer with 24 holes. With level of parasitemia 1% and hematokrit 5%, and then is counted the percentage of parasitemia and growth percentage. Antimalaria test result on papaya’s leaf Cibinong variety with probit program show the value of IC50, 2.7821nanog/ml and Solo variety of Papaya is IC 50, 2.14279, in other word, that cibinong veriety and solo in vitro is active as an antimalaria. 

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