cover
Contact Name
Solikhatun
Contact Email
solikhatun@ugm.ac.id
Phone
+62331334293
Journal Mail Official
jid@unej.ac.id
Editorial Address
Jl. Kalimantan 37 Kampus Tegalboto Jember 68121 Telp. 62 331 334293 Fax. 62 331 330225
Location
Kab. jember,
Jawa timur
INDONESIA
Jurnal Ilmu Dasar
Published by Universitas Jember
ISSN : 24425613     EISSN : -     DOI : https://doi.org/10.19184/jid.v24i2.36657
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.
Articles 415 Documents
Statistical Inference for Modeling Neural Network in Multivariate Time Series Dhoriva Urwatul Wutsqa; Subanar Subanar; Suryo Guritno; Zanzawi Soejoeti
Jurnal ILMU DASAR Vol 9 No 1 (2008)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (136.781 KB)

Abstract

We present a statistical procedure based on hypothesis test to build neural networks model in multivariate time series case. The method involved strategies for specifying the number of hidden units and the input variables in the model using inference of R2 increment. We draw on forward approach starting from empty model to gain the optimal neural networks model. The empirical study was employed relied on simulation data to examine the effectiveness of inference procedure. The result showed that the statistical inference could be applied successfully for modeling neural networks in multivariate time series analysis.
Growth of Bacteria Isolat Consortium From Benakat on High Salainity Crude Oil Media Astri Nugroho; Edison Effendi; Fiona Annisa
Jurnal ILMU DASAR Vol 8 No 2 (2007)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (102.222 KB)

Abstract

The production and cunsumption of oil and petroleum product are increasing worldwide and threat of oil pollution is increasing accordingly. About 10 million tons of oil and petroleum products are used worldwide each day, it will occur 5% of all oil pollution entering the sea. For that reason, needs a treatment to handle and remediate aquatic ecosystem like former. Bioremediation is a process to detocsify dan degrade crude oil. Expected from this process, land and aquatic environment where were polluted by petroleum can be natural. Treatments are divided into three stages, which are (1) isolation of dominant microorganism that degraded petroleum hydrocarbon in 15% salinity and TPH 10%, (2) Identification of bacteria with biochemistry tes and Analytical Profile Index 20 NE test (3)Biodegradation ability test in 15%, 10% salinity and 30‰ (seawater salinity) and TPH (Total Petroleum Hidrocarbon) 1%, 2.5 %, 5 %, and 10 %. The microorganisms that were identified from the isolation crude oil from Benakat are Pseudomonas aeruginosa, Aeromonas hydrophila and Agrobacterium radiobacter. Total sel microorganisms/ml in exponential phase are P. aeruginosa: 2.42E/ml, A. hydrophila: 2.99E+14 /ml, A. radiobacter: 2.42E+14/ml, and mixed culture microorganism: 4.65E/ml. The average percentage sequence degradation from the optimum  growth are mixed culture = 92%, P. Aeruginosa = 90%, A. hydrophila = 88%, and A. radiobacter = 79%. The percentage sequence degradation of mixed culture in 15% salinity and 1%, 2,5%, 5%, 10% TPH concentration are 90%, 84%, 97%, 94%. Otherwise, 30‰ salinity and 1%, 5%, 10% TPH concentration, the percentage of biodegradation are 98%, 96%, 84%.
An Isoflovonoid, Warangalone from the Stem Bark of Dadap Ayam (Erythrina variegata) Tati Herlina; Nasrudin Nasrudin; Unang Supratman; Anas Subarnas; Supriyatna Sutardjo; Hideo Hayashi
Jurnal ILMU DASAR Vol 9 No 1 (2008)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (121.012 KB)

Abstract

In the course of our continuing search for novel paralytic compound from Indonesian plants, the methanol extract of the stem bark of Erythrina variegata (Leguminosae) showed significant paralytic activity against the third instar larvae of silkworm (Bombyx mori). The purposes of this research were isolation and structural elucidation of paralytic compound from the stem bark of E. variegata. Using the paralytic activity following the separation, the methanol extract was separated by combination of column chromatography to yield prenylisoflavone, warangalone. The chemical structure of warangalone was identified based on spectroscopic evidence and comparison with the previous reported. The paralytic activity of warangalone showed weak activity against the third instar larvae of silkworm (B. mori).
Recycle Waste Glass for Thermal Insulator Agus Setyo Budi; Sujito Sujito
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.54 KB)

Abstract

Series of ceramics from recycle waste glass and mica powder have successfully been made and their physical properties of these glasses which include density, bulk modulus, volume expansion and compressive strength have been determined. Comparison of their physical specification to the conventional insulators has also been made. The results show that these ceramics exhibit reasonable mechanical, thermal and physical properties to be a potential thermal insulator. 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (191.357 KB)

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.
Mechanical Properties and Biodegradability of Bamboo and Sengon Wood Thin Sheets Reinforced Poly Latic Acid (PLA) Biocomposites) S. Sujito; Hanim Munawaroh; Endhah Purwandari
Jurnal ILMU DASAR Vol 14 No 2 (2013)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.423 KB) | DOI: 10.19184/jid.v14i2.513

Abstract

Development of biocomposite materials based on natural fibers and environmentally friendly resins to replace composite materials made from plastic and synthetic fibers give the consideration that the biocomposite materials are environmentally friendly materials. In this paper, we discuss the synthesis and characterization of biocomposite materials using a combination of thin sheets of bamboo reinforcement and resin sengon and poly lactic acid (PLA). As controls were also carried out the synthesis and characterization of biocomposite material with a thin layer of reinforcement only sengon bamboo and wood. Characterization of tensile strength and modulus of elasticity of the material is done by using the Tensile Test Machine ASTM D 638. In the mean time, biodegradability of materials are observed made by the method of burial for 1-4 weeks. Tensile test results show that the biocomposite material reinforced with a thin sheet bamboo has a tensile strength and modulus of elasticity greater than that of the other biocomposite materials produced in this study. Meanwhile, biocomposite materials with thin layers of wood sengon reinforced easily biodegradable (dG = 13.21 ± 0.59)%, compared to a biocomposite material with a thin layer of bamboo reinforcement (dG = 10.69 ± 0.79)%. From these results it can be concluded that the composite material with a thin layer of bamboo boosters are more likely to be applied to replace metallic materials.Keywords: Biocomposites, tensile strength, elastic modulus, biodegradability, bamboo and sengon wood thin layer.
Solution Estimation of Logistic Growth Model with Ensemble Kalman Filter Method Vianda Nuning Fitriani; Kosala Dwidja Purnomo
Jurnal ILMU DASAR Vol 14 No 2 (2013)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1199.64 KB) | DOI: 10.19184/jid.v14i2.514

Abstract

Ensemble Kalman Filter (EnKF) can be applied for linear or nonlinear models. This paper is aimed to estimate the logistic growth of population models using EnKF. The estimation will be compared with the analytical solution. We assume that we can find the analytical solution of the models. The models is in the specific form i.e comparison between the population growth rate and the amount of population is in the parabolic form. The good estimation will be attained by choosing 100 as size of ensembles in EnKF. The result of estimation really so closed to the analytical solution. Keywords : Analytical solution, EnKF, ensemble
Profile of Interleukin-4 and Interferon-γ of Balb/c Mice after Salivary Gland Extract of Anopheles sundaicus s.l. Vaccination and Infected by Plasmodium berghei-ANKA Ali Machrus; Adrial Adrial; Yunita Armiyanti; Hidayat Teguh Wiyono; Kartika Senjarini
Jurnal ILMU DASAR Vol 15 No 2 (2014)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.451 KB) | DOI: 10.19184/jid.v15i2.532

Abstract

Malaria infection is initiated when sporozoites are inoculated into a vertebrate host via the salivary glands of an Anopheles mosquito. During Anopheles bite,  the salivary glands release components that include vasomodulator and immunomodulators. The salivary components of vectors have important role in transmission of pathogen. Therefore, if these components were injected repeatedly into a vertebrate host, it can stimulate host immune system and inhibit the transmission of the pathogen into the host. This could be observed the increasing level of  IFN-γ and decreasing level of IL-4 in mice model  of malaria after vaccination with  salivary gland ekstract (SGE) from An sundaicus s.l. It has also been proven that this  mechanisms was related with pathogen of malaria. This was supported by the reduction of parasitemie rate in those mice model after infection by P. Berghei.   Keywords: An sundaicus s.l., IFN-γ, IL-4,immunomodulators, salivary gland , TBV
Effect of Thickness and Temperature of SiO2 Layer on Leakage Currents in MOS Capacitor Materials with High Dielectric Constant by Involving the Charge Trap Fatimah A. Noor; Masturi Masturi; Mikrajuddin Abdullah; Khairurrijal Khairurrijal
Jurnal ILMU DASAR Vol 15 No 1 (2014)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.255 KB) | DOI: 10.19184/jid.v15i1.642

Abstract

Modeling of the leakage current in a field-effect transistor metal-oxide-semiconductor (MOSFET) with high dielectric material has been developed by taking into account the effect of charge traps formed at the interface of high-k material/SiO2. Transmittance calculated using Airy wave function approach and involving the anisotropic electron mass and the effect of coupling between transverse and longitudinal energy represented by the speed of the electrons in the metal gate. Transmittance obtained is then used to calculate the leakage current in the structure of n+Poly-Si/HfSiOxN/trap/SiO2/p-Si for oxide voltage variations, temperature, and thickness of the SiO2. From the calculation that the leakage current decreases with decreasing of oxide voltage and increasing of the thickness of the oxide layer of SiO2. Also obtained that the temperature of the device does not give a great influence on the change of leakage current. Keywords: Leakage current, electron speed, charge traps
Determination of Sesame Oil Quality UsingFraunhofer Difraction Method: Refraction Index as a Temperature Function Nur Inna Alfianinda; Misto Misto; Artoto Arkundato
Jurnal ILMU DASAR Vol 15 No 1 (2014)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.971 KB) | DOI: 10.19184/jid.v15i1.834

Abstract

Telah dirancang alat uji kemurnian bahan yang bekerja berdasarkan metode difraksi Fraunhofer celah ganda. Metode ini mempunyai akurasi yang baik, tidak memerlukan bahan uji dalam jumlah banyak serta tidak merusak kemurnian bahan uji itu sendiri (non destructive testing/non contactive testing). Pengujian dilakukan dengan menentukan persamaan indeks bias sebagai fungsi suhu bahan uji, yang diperoleh berdasarkan perubahan pola frinji gelap terang difraksi cahaya yang melewati bahan uji untuk variasi suhu yang diberikan (26 °C hingga 90 °C). Dari persamaan indeks bias yang diperoleh kemudian dapat dihitung indeks bias pada suhu sembarang. Uji kemurnian dilakukang dengan membandingkan nilai indeks bias terukur dengan nilai indeks bias referensi pada suhu tertentu. Uji statistik t-test digunakan untuk melihat tingkat akurasi alat. Pada penelitian ini digunakan tiga buah merk minyak wijen yang ada di pasaran. Dari hasil pengukuran dan perhitungan menggunakan minyak wijen tiga macam (A,B dan C) dapat diketahui bahwa dari ketiga bahan uji yang dipilih maka minyak wijen label B memiliki nilai t hitung yang paling kecil dibandingkan minyak wijen label A dan C, sehingga minyak wijen label B dianggap memiliki kualitas yang paling baik dia antara ketiga minyak wijen yang telah di uji. Keywords: Difraksi Fraunhofer, minyak wijen, indeks bias bahan, uji-t