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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 11 Documents
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Search results for , issue "Vol 23 No 2 (2022)" : 11 Documents clear
Production of The Entomopathogenic Fungi Beauveria bassiana using Starch Rich Substrate and Its Infectivity against Tribolium castaneum Lutfi Afifah; Dhiya Mutsla Afifah; Tatang Surjana; Anik Kurniati; Rosalia Maryana
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.21435

Abstract

The entomopathogenic fungi of Beauveria bassiana is known to infect the Tribolium castaneum pest. Mass production of B. bassiana is currently carried out using alternative media, the amount of conidia produced on alternative media is quite large and can tolerate temperature. This research aims to select alternative media for the propagation of B. bassiana to gain germination, conidia density, and virulence of the best alternative media concentration against the pest of T. castaneum. The method used was a compiled in the Completely Randomized Design (RAL) at all stages of research. In the first stage of alternative media selection consisting of 4 treatments in 6 replications: A (PDA); B (peanuts); C (soybean); D (old coconut meat). The second stage of alternative media infectivity consisting of 5 treatments in 5 replications: positive control (synthesis insecticide); negative control (aquades); 107; 108; 109 spores/ml. The results achieved that alternative media selection given a highest colony diameter is 4.39 cm on soybean, the highest conidia density is 5,61 x 108 spores/ml on peanuts, the highest germinating power is 31.76% on peanuts. Furthermore, the infectivity of alternative media obtained on peanut media had a significant effect on the mortality of T. castaneum (36.00%) at a concentration of 109 spores/ml, LC50 was obtained at 5.6 x 105 spores/ml, and LT50 within 5.42 days. The results indicated that the peanut media was a good propagation medium of B. bassiana and it was necessary to find other alternatives to increase the infectivity of B. bassiana against T. castaneum.
Flooded Area Mapping and Its Relationship to the Land Use, Soil Type, and Rainfall in North Konawe Regency Bowo Eko Cahyono; Ervina Ikke Septiyas Putri; Agung Tjahjo Nugroho
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.23898

Abstract

The flood incident in North Konawe Regency, Southeast Sulawesi that occurred on June 2nd, 2019 was the largest flood disaster in that area since the last 42 years, so it is interesting to study. As part of disaster risk management, it is necessary to do flood mapping to determine the distribution of flooded areas and identify areas that have potential for flooding. Mapping of flood inundation areas was carried out using Sentinel-1 data. Land use, rainfall and soil types are used as an analysis of their were relationship to the distribution of flood. The distribution of flood based on the identification of the presence of inundation covered 3 sub-districts, namely Oheo District, Asera District and Andowia District. Correlation of flood distribution to the land use, rainfall and soil type was identified using Pearson correlation value (r). The correlation between flood distribution and land use was -0.59 that indicates the correlation is moderate. Moreover, the correlation of flood distribution to the rainfall was 0 which means the correlation was very weak, and lastly, the correlation value of the flood distribution with soil type was 0.88 or the correlation was very strong.
The Binding Prediction of 6-Paradol and its Derivatives on TRPV1 Agonist as a New Compound for Treating Painful Diabetic Neuropathy Finas Rahmayanti; Dwi Koko Pratoko; Fifteen Aprila Fajrin
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.23030

Abstract

Ginger was reported to have a suppressive effect on pain in patients with Painful Diabetic Neuropathy (PDN). Our latest study revealed that 6-shogaol, one of the ginger components, had the best affinity in the Transient Receptor Potential Vanilloid 1 (TRPV1), a key receptor in PDN). Paradol, which obtained from gingerol and shogaol metabolism, also had potent activities in several diseases, compared to the other derivatives of gingerol and shogaol. However, shogaol and paradol is very similar in chemical structure with only different in one double bond in 4-5 position. Until now there is no explanation about paradol mechanism in TRPV1. Based on this, our study was designed to predict the activity of 6-paradol and its derivatives to TRPV1 as target receptor in PDN using in-silico model. 2-paradol, 4-paradol, 6-paradol, 8-paradol and 10-paradol were used as ligands. Capsaisin, the agonist of TRPV1, was used as a native ligand in this study. TRPV1 was obtained from protein data bank (PDB). Ligand bond prediction and affinity was performed using Molegro Virtual Docker. The results showed 2-paradol, 4-paradol, 6-paradol, 8-paradol and 10-paradol had good affinity against TRPV1. These result indicated that 6-paradol and the derivatives had potential as a drug compound for PDN therapy.
The Profile of Reproductive Hormones of Nypa Palm Worm Namalycastis rhodochorde (Polychaeta: Neriedidae) Junardi Junardi; Tri Rima Setyawati; Ari Hepi Yanti
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.24095

Abstract

The Nypa palm worm Namalycastis rhodochorde can be cultivated because it has high economic value; however, knowledge of its reproductive biology is still poorly understood, especially regarding reproductive hormones for engineering and accelerated maturation. This research aimed to obtain profile data of the three reproductive hormones i.e: estradiol, progesterone, and testosterone of Nypa palm worms. Samples were taken from body coelom fluid containing gametes from three stages of development; immature, submature, and mature. Analysis of progesterone and testosterone used the Radio Immunoassay method while estradiol used the Enzyme-linked Immunosorbent Assay method. Analysis of variance was used to determine differences in hormone concentrations based on developmental stages. The concentration of the Estradiol hormone increases with maturation, while the concentrations of progesterone and testosterone do not differ at all stages of development.
Biological Aspects of Three Species Family Gobiidae in the Bilah River, Labuhanbatu Regency, Sumatera Utara Province Khairul Khairul; Ika Nazira Lubis
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.28160

Abstract

The Bilah river is known to have a fairly high fish biodiversity. Some species of Gobiidae are usually caught by fishermen in the estuary area. But until now there is no data and information related to the biological aspects of the Gobiidae family. The purpose of this study was to determine aspects of the size class and long relationship of the weight of Gobiidae fish caught by fishermen in the Bilah river. This study is exploratory, where fish sampling stations are determined based on fish habitat from fishermen's information (purposive sampling). Fish are caught using traditional fishing gear in the form of splint. The fish caught is then measured in total length and weight. Then the fish obtained based on the catch are grouped in small, medium, and large sizes. Data analysis using Microsoft Excel 2010 applications. In this study, three species of fish that are included in the family Gobiidae namely Butis butis, Butis aureus, and Eleotris fusca. The small category B. butis (9-11.9 cm) fish size class is obtained as many as 2 individuals, medium size (12-14.9 cm) 9 individuals, and large size (15-17.9 cm) 2 individuals. The small size class (6-8.9 cm) of B. aureus fish obtained 2 individuals, medium (9-11.9 cm) 8 individuals, and large 12-14.9 cm) 4 individuals. Small size class (9-11.9 cm) E. fusca as many as 6 individuals, medium (12-14.9 cm) 7 individuals, and large (15-17.9 cm) 3 individuals. The growth pattern of the crazy fish (B. butis) (value b = 0.10), B. aureus (value b = 0.27), and E. fusca (value b = 0.20).
Optimized Purification of CIDRα-PfEMP1 Plasmodium falciparum Recombinant Protein with Affinity Chromatography Eqiel Navadz Akthar Alami; Erma Sulistyaningsih; Irawan Fajar Kusuma; Sheilla Rachmania
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.24127

Abstract

Interaction of Cysteine-rich Interdomain Region (CIDR)α-Plasmodium falciparum Erythrocyte Membrane Protein (PfEMP1) and Endothelial Cell Receptors especially CD36 on host cells is main malaria pathogenesis, makes this domain as a malaria vaccine candidate. Recently, the development of the malaria vaccine is conducted by recombinant technology, and the purification of the CIDRα-PfEMP1 recombinant protein is a pivotal step. This study aimed to determine an optimal condition to purify the CIDRα-PfEMP1 recombinant protein by affinity chromatography through imidazole and NaCl concentration. The purified recombinant protein was visualized using SDS-PAGE and its concentration was measured using Image J software and Bradford Assay. The data were analyzed using SPSS 26 software, and the Paired T-Test analysis was conducted to compare the concentration of purified recombinant protein from two different methods. The result showed that thetarget band of purified recombinant protein was 27 kDa. The thickest target protein band was observed in purified recombinant protein using 140 mM imidazole and 300 mM NaCl. The recombinant protein concentration using Image J software was 0.025 µg/µL, while the Bradford Assay was 0.56 µg/µL. The Paired T-Test analysis has a significance value of 0.010 (p<0.05), meaning there was a significant difference between the concentration measurement using Image J software and Bradford Assay. In conclusion, the optimized condition to purify the CIDRα-PfEMP1 recombinant protein by affinity chromatography was using 140 mM imidazole and 300 mM NaCl. It is suggested to measure the purified CIDRα-PfEMP1 recombinant protein concentration using the Bradford Assay method due to its convenience and sensitivity.
Cover JID Volume 23 No 2 (2022) Jurnal ILMU DASAR
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Effect of Pattern and Infill Percentage in 3D Printer for Phantom Radiation Applications Aditya Prayugo Hariyanto; Kurnia Hastu Christianti; Agus Rubiyanto; Nasori Nasori; Mohammad Haekal; Endarko Endarko
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.27256

Abstract

3D printing technology was capable of fabricating phantoms to enhance quality assurance in radiation therapy. The ideal phantom has properties equivalent to the real tissue. However, 3D Printing has the limits to mimicking the attenuation properties of various tissues because during 3D printing there can be only one type of material. The purpose of this study was to evaluate the effect of infill percentage and infill patterns of 3D printing technology to simulate various types of tissue. This study used 25 samples measuring 5 × 5 × 1 cm3 from PETG material. The 20 samples were printed using variations infill percentages from 5 - 100% and the infill pattern in lines. The five samples were then printed with the infill percentage constant at 50% and used the infill pattern triangles, grid, gyroid, octet, and concentric. We used Computed Tomography (CT) to determine the Hounsfield Unit (HU) value for each sample and evaluated the suitability of each sample for phantom applications in radiation therapy and radiology. However, none of the samples was able to simulate compact bone. As a result, we found that PETG material could simulate the properties of soft tissue, fat, lung, kidney, liver, pancreas, and spongy bone. Thus, the study had shown promising potential for the fabrication of the anthropomorphic phantom of radiation therapy.
The 32 kDa Outer Membrane Proteins of Klebsiella pneumoniae Acts as A Bacterial Adhesin Dini Agustina; M. Ali Shodikin; Bima Setia Sandya Nugraha; Diana Chusna Mufida; Enny Suswati; Bagus Hermansyah
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.25435

Abstract

Klebsiella pneumoniae is a bacterium that often causes infection in the human body. At present K. pneumoniae can resist some of the antibiotics it has associated with modification of one of the virulence factors possessed by K. pneumoniae. One virulence factor of K. pneumoniae as pathogen bacteria is Outer Membrane Protein (OMP). The study of adhesin factors in K. pneumoniae involving hemagglutinin and adhesin proteins that have been found in the OMP 20 kDa and 40 kDa, but there is still no research that discusses the role of 32 kDa OMP as a hemagglutinin protein and adhesin. The purpose of this study is to determine the role of 32 kDa outer membrane of K. pneumoniae as hemagglutinin and adhesin proteins. After isolation of Outer Member Protein (OMP) from the K. pneumoniae, which then carried out a hemagglutination test using mice erythrocyte cells and adhesion test using mice enterocyte cells. The results of the hemagglutination test using mice erythrocyte cells obtained the highest hemagglutination titer for the molecular weight of 32 kDa in titers 1/4. The adhesion index with dilution titer has a significant relationship, with a conversion coefficient of 0,813 which means the dilution titer with the OMP adhesion index has a strong relationship with the direction of a positive relationship. The regression test results obtained an R-value of 0,813 which shows a strong relationship, while the R2 value is 66.1%. Conclusion in this study is 32 kDa outer membrane proteins of K. pneumoniae acts as a bacterial adhesin.
Artificial Neural Network Performance on Pakcoy Leaf Fresh Weight Model Riza Yuli Rusdiana; Laily Ilman Widuri; Didik Pudji Restanto
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.27283

Abstract

The growth of leaf biomass can be predicted from an increase in the surface area and thickness of the leaves. Measurements of leaf biomass are approached with the fresh weight of the leaves. The relationship between biomass and leaf surface area commonly performed by regression analysis. The analysis requires assuming linear relationship between dependent variables and independent variables. Artificial Neural Network (ANN) is alternative that can be used to analyze the relationship of leaves and leaf biomass without requiring linear relationships. The research aimed to evaluate ANN performance in determining the fresh weight of pakcoy leaves based on leaf area parameters. Datasets in the study included leaf area datasets and length-width datasets. ANN architecture used Multi Layer Perceptron (MLP) with backpropagation. Ramsey’s test results showed that leaf area datasets is linier model and length-width datasets is nonlinier model. ANN performs well in predicting leaf fresh weight data on both nonlinear and linear models. The best ANN architecture for modeling the leaf fresh weight with leaf area is MLP (1-3-1) while the leaf fresh weight model with length and width is MLP (2-3-1).

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