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Jurnal Ilmu Dasar
Published by Universitas Jember
ISSN : 24425613     EISSN : -     DOI : https://doi.org/10.19184/jid.v24i2.36657
Core Subject : Education, Engineering,
Control & Systems Engineering Mathematics
Jurnal ILMU DASAR (JID) is a national peer-reviewed and open access journal that publishes research papers encompasses all aspects of natural sciences including Mathematics, Physics, Chemistry and Biology. JID publishes 2 issues in 1 volume per year. First published, volume 1 issue 1, in January 2000 and avalaible in electronically since 2012 with ISSN 1411-5735 (Print) and avalaible in electronically since 2012 with ISSN 2442-5613 (online). Jurnal ILMU DASAR is accredited SINTA 3 by the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia (Kemendibukristek) No. 152/E/KPT/2023 (September 25, 2023), Ministry of Research, Technology and Higher Education of the Republic of Indonesia (RISTEKDIKTI), No. 200/M/KPT/2020 (December. 23, 2020). All accepted manuscripts will be published worldwide JID has been indexed in DOAJ, Dimension, OCLC WorldCat, PKP Index, Crossref, Google Scholar, Base, Garuda, and OneSearch. JID have been collaborated in KOBI-ID (Konsorsium Biologi Indonesia) and HKI (Himpunan Kimia Indonesia) since 2017.
Arjuna Subject : Matematika - Kontrol dan Optimasi
Articles 15 Documents
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Search results for , issue "Vol 12 No 1 (2011)" : 15 Documents clear
Estimation and Statistical Test in Bivariate Binary Probit Model Vita Ratnasari; Purhadi Purhadi; Ismaini Ismaini; Suhartono Suhartono
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

One of the models that can be used to analyze two binary response variables data is bivariate binary probit model. This paper tried to estimate the parameters of bivariate binary probit model using Maximum Likelihood Estimationmethod, whereastoget the statistical test using Maximum Likelihood Ratio Test method.
Production Optimization and Cellulose System Characterization of Bacillus circulans Local Strain Using Inducer Avicel Evi Susanti
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Exploration of aerobic bacteria which can produce cellulase system is very important to discover potential celulase resourse which can hydrolysis lignocelulose waste into glucose. The aimed of this researched were determine optimum condition of cellulase system production in Berg’s media with avicel as inducer and it’s characterization. Bacillus circulans local strain from laboratory of Microbiology ITB produced consist of CMC- ase(111.11U/mL)andavicelas (55.56U/mL) in Berg’s medium contain 0.5% avicel, pH=9.0 and 5 days of incubation. Characteristic of this cellulase system were: (1) optimum level of CMC-ase (129.97 U/mL) and avicelase (87.96 U/mL) was obtained at pH= 7.0, temperature 50oC and 2 hours incubation, (2) Vmaks and Km of CMC-ase was 1000 μg glucose/hour and 5%, Vmaks and Km of avicelase was 200 μg glucose/hour and 1.2%, (3) capable of hidrolizing sugarcane, corn cob and rice bran during optimum condition and released glucose 262 ppm, 81 ppm and 78 ppm. This research encouraged that Bacillus circulans capable of producing cellulose system with high activity and suggested to degradated lignocelluloses as feedstocks of bioetanol.
Study of the Activity of Ni/H5-NZA Catalyst and Co(II)/H5NZA to Catalytic Cracking Methyl Ester Jatropha Novita Andarini
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

The catalytic activity of H5NZA, Ni/H5NZA and Co/H5NZA converting methyl ester jatropha have been studied. The reaction was proceeded in flow fixed bed reactor that operated at the temperature of 450oC for 60 minutes using butanol as the catching-feed. The catalysts were prepared by acidifying of natural zeolite using HF 1%, HCl 6 M and NH4Cl 0.1 M), it was then hydrothermally treated and calcinated with nitrogen. Finally, it is oxidized and impregnated by ion nickel and cobalt (2% w/w). Meanwhile, the methyl ester jatropha as feed stocks was prepared by reacting a jatropha oil with sodium methoxy. The catalytic process was done by placing a catalyst on the flow fixed bed reactor at the temperature of 450oC and flowing a methyl ester and butanol to the reactor for 60 minutes with a fixed flow rate. A liquid fraction have been produced and were then characterized using GC. The maximum percentage conversion of methyl ester was found to be 94.6891% using catalyst of zeolite acid H5NZA which were indicated by a reduction signal of the original methyl ester. The selectivity of this catalyst was performed by the specific product on the retention time of <2.5 minutes. The modified catalysts which were impregnated by the ion Ni and Co shown their selectivity on range of retention time of 2.5-5.0 and 5.0-10 minutes respectively.
Regression for Exploring Rainfall Pattern in Indramayu Regency Anik Djuraidah; Aji Hamim Wigena
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Quantile regression is an important tool for conditional quantiles estimation of a response Y for a given vector of covariates X. It can be used to measure the effect of covariates not only in the center of a distribution, but also in the upper and lower tails. Regression coefficients for each quantile can be estimated through an objective function which is weighted average absolute errors. Each quantile regression characterizes a particular aspect of a conditional distribution. Thus we can combine different quantile regressions to describe more completely the underlying conditional distribution. The analysis model of quantile regression would be specifically useful when the conditional distribution is not a normal shape, such as an asymmetric distribution or truncated distribution. In general, rainfall in Indramayu regency during 1972-2001 at 23 stations is highly variable in amount across time (month)andspace. So,the first objective of the research is reducing the variability in space using classification of the rainfall stations. The second objective is modelling the variability in time using quantile regression for every cluster of rainfall stations. The result shows that there are two clusters of rainfall stations. The first cluster has higher amount of rainfall than the second cluster. The coefficient of quantile regression for quantile 50 and 75 percent are similar, but for quantile 5 and 90 percent are very different. Exploring pattern of rainfall using quantile regression can detect normal or extreme rainfall that very useful in agricultural.
The Effects of Oxygen Content, Deposition Rate and Annealing Towards Thin Film of Indium Tin Oxide Muslimin Muslimin
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Indiun tin oxide is one of the materials that has physical properties, rarely seen in other materials. Indium tin oxide properties have the main role in developing the technology of thin film shown through its properties. Therefore, many people study on it since its widespread application to the technological industries. Coating process was carried out by mixing 90 % of In2O3 and 10 % SnO2 on the glass substrate by means of sputtering. During the process of oxygen was added 2.50%, 3.70%, 5,10%, 6.15% and 8.90%. The deposition rate was respectively 4.21 nm/s and 2.25 nm/s. The Indium tin oxide for each condition was annealed at 175oC and 250oC in a vacuum of 10-3 mBarr for 60 minutes. and the micro structure using the x-ray diffraction. Oxygen conten, deposition rate and annealing resulted in the changes of microstructure of indium tin oxide. These changes are mostly resulted from the changes in microstructure such as grain size and lattice constant.

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