cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hamdan Hadi Kusuma
Contact Email
jnsmr@walisongo.ac.id
Phone
-
Journal Mail Official
jnmsr@walisongo.ac.id
Editorial Address
Journal of Natural Sciences and Mathematics Research Published by Faculty of Science and Technology Universitas Islam Negeri Walisongo Semarang Jl Prof. Dr. Hamka Kampus III Ngaliyan Semarang 50185 Website: https://journal.walisongo.ac.id/index.php/JNSMR Email:jnsmr@walisongo.ac.id
Location
Kota semarang,
Jawa tengah
INDONESIA
Journal of Natural Sciences and Mathematics Research
Published by Universitas Islam Negeri Walisongo Semarang
ISSN : 26146487     EISSN : 24604453     DOI : https://doi.org/10.21580/jnsmr
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Materials Science & Nanotechnology Physics
Journal of Natural Sciences and Mathematics Research, an international journal, provides a forum for publishing the original research articles, review articles from contributors, and the novel technology news related to natural sciences and mathematics research. Scientific articles dealing with fundamental sciences, material sciences, mathematics, materials characterization, etc. are particularly welcome. The journal encompasses research articles, original research report, reviews, short communications and scientific commentaries in fundamental sciences and mathematics including: fundamental sciences, fundamental physics, fundamental chemistry, fundamental biology, mathematics, applied sciences, applied physics, applied chemistry,applied biology,applied mathematics and materials characterization.
Arjuna Subject : Umum - Umum
Articles 222 Documents
 19   20   21   22   23 
Structure and morphology absorber material base on Iron Sand with SiO_2 fortification from water hyacinth Hidayat, Sony; Fianti, Fianti; Nurbaiti, Upik; Astuti, Budi
Journal of Natural Sciences and Mathematics Research Vol. 10 No. 2 (2024): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v10i2.23775

Abstract

Electromagnetic radar technology has become integral in various innovations, such as military, air navigation, and weather monitoring. However, the ability of radar to detect objects accurately creates vulnerability to detection by other parties, raising security and confidentiality issues. Therefore, the development of electromagnetic absorber material technology is becoming increasingly important, especially in the military. One promising effort is using smart magnetic pigments as electromagnetic wave absorber materials. This material can be synthesized from metal waste and iron sand, which have high permeability and permittivity. However, synthesizing effective and economical smart magnetic materials is still challenging. Iron sand is one of the potentially abundant material solutions. This study aims to synthesize and characterize smart magnetic pigments ( ) from iron sand and silica ( ) from water hyacinth ash as electromagnetic wave absorber materials. The methods used include the extraction of silica from water hyacinth by a slow heating method at high temperatures and the synthesis of magnetite from iron sand by the coprecipitation method. The resulting material was then composited into an Unsaturated Polyester Resin (UPR) matrix and tested for electromagnetic wave absorption. The developed composite material has a porous structure (3.63 µm, porosity 15.746%) with synergistic properties between dielectric and   ferromagnetic. The Si-O-Si and Fe-O functional groups (FTIR) and the crystal phases , Cristobalite, and Butlerite (XRD) strengthen the material interactions. This combination of characteristics proves that the composite material can absorb and dampen electromagnetic waves.
Efficiency of new Canonical polynomials in Solving nonlinear Fractional Integro-Differential equations Owolanke , Olakiitan Ayodele; Uwaheren, Ohigweren Airenoni; Ogunbamike, Oluwatoyi Kehinde
Journal of Natural Sciences and Mathematics Research Vol. 10 No. 2 (2024): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v10i2.20086

Abstract

This paper is aimed to solve nonlinear fractional integro-differential equations, specifically of the Volterra-types, utilizing newly constructed versatile canonical polynomials. The technique involves the use of the Lanczos method. The popular numerical method known as the collocation method is presented to evaluate the evolving equations and subsequently to determine the values of the embedded unknown coefficients. The equations exhibit both derivatives and integrals. The resulting approximate solutions are compared with the given exact solutions. Numerical experiments are conducted to showcase the efficiency and accuracy of the technique, which is achieved by estimating the errors in the approximate solutions in order to significantly establish the convergence of the method. The mathematical tool utilized to obtain the required results is Maple 18 software package.
American index exchange movement against IDX stochastic Flavianus, Muhammad; Maulani, Alfi
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.18164

Abstract

A giant warehouse full of countless opportunities forms the foundation of this study, which aims to conduct stochastic modeling of the impact of the movement of the American stock index on the IDX (Indonesia Stock Exchange). This research discusses and emphasizes how the movement of the American stock index affects changes in the IDX over a certain period of time using a quantitative approach. The study employs a Hidden Markov Model (HMM) to identify latent market states. It utilizes the Viterbi method to determine the most probable sequence of state transitions based on the observed data. The model was trained using historical movements of the NASDAQ, NYSE, and DOW JONES indices, facilitating the discovery of significant trends in IDX changes. The research results show a trend in the movement of the IDX based on the movement of the American indices NASDAQ, NYSE, and DOW JONES, as follows: Bullish, bearish, bullish, bearish when NASDAQ is observed at 1, 2, 5, 6, and 8; NYSE is observed at 1, 3, 9, 11, and 15; and DOW JONES is observed at 1, 3, 4, 7, 9, 10, 11, 12, 13, 15, and 16. Bearish, bullish, bearish, bullish when NASDAQ is observed at 3, 9, 11, and 15; NYSE is observed at 2, 5, 6, and 8; and DOW JONES is observed at 2, 5, 6, 8, and 14. Bearish, bullish, bearish, bearish when NASDAQ is observed at 4, 12, and 16. Bullish, bearish, bullish, bullish when the NYSE is observed at 4 and 12. Bullish, bearish, bearish, bullish when NASDAQ is observed at seven and when NYSE is observed at 10. Bearish, bullish, bullish, bearish when NASDAQ is observed at 10. Bearish, bearish, bullish, bearish when NASDAQ is observed at 13 and 14. Bullish, bullish, bearish, and bullish when the NYSE is observed at 13, 14, and 16. The analysis indicates that IDX trends generally fluctuate in line with major U.S. indices (NASDAQ, NYSE, DOW JONES). Notably, specific observations 4, 12, 13, 14, 16 reveal a stronger correlation: a bearish NASDAQ movement tends to align with a bearish IDX stochastic, whereas a bearish NYSE movement is more likely to trigger a bullish response in the IDX.
Valorization of Pb 340 rubberwood into liquid smoke as an alternative latex coagulant for Ribbed Smoked Sheet Ronny Kristian Sembiring; Djagal Wiseso Marseno; Diah Puspitasari; Manikharda
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.23192

Abstract

Formic acid, commonly used as a coagulant, has been criticized for its adverse environmental impact, leading to the search for sustainable alternatives. Additionally, the rubber processing industry generates a significant amount of unproductive rubber wood during replanting. A promising path to environmental sustainability is to utilize this potential for liquid smoke production. This study examines the use of liquid smoke from rubber wood Clon PB 340 as a latex coagulant and its effect on RSS quality. The findings indicate that RSS adhered to the P0 standard criteria for all tested liquid smoke concentrations. The 5% liquid smoke introduction to RSS, stored for 7 days, achieved the SRI 5 standard. Additionally, liquid smoke additions effectively managed dirt content, meeting or surpassing control criteria at concentrations of 5%, 20%, and 25%. Although the volatile matter content occasionally met SRI 5 standards at specific concentrations (10%, 15%, 20%, and 25%), the ash content across all treatments, including the control, did not meet the SRI 5 quality benchmarks. Using liquid smoke from non-productive rubber wood Clon PB 340 as a natural coagulant holds promise for eco-friendly latex processing. This study may advance the rubber industry's adoption of liquid smoke, promoting higher-quality, environmentally sustainable products.
Evaluation of Paederia foetida L. Extract on Liver Weight Alterations in an Escherichia coli Sepsis Mouse Model Savitri, Lisa; Elfred Rinaldo Kasimo; Rochmad Krissanjaya
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.23323

Abstract

Sepsis is a critical medical condition caused by a systemic immune response to infection and is often associated with severe organ dysfunction and high mortality. Bacterial sepsis, including cases triggered by Escherichia coli, can damage host tissues as the immune response becomes dysregulated. Infections involving E. coli in the digestive tract have become increasingly common. Among the affected organs, the liver plays a key role in metabolic regulation and host defense during sepsis. This study investigated the effect of Paederia foetida L. leaf extract on liver weight in a murine sepsis model. Introducing E. coli induces systemic infection and establishes the sepsis model, a commonly used approach in experimental studies to mimic the clinical features of sepsis. After acclimation, mice received treatments for 14 days across several groups: a normal control (N), a negative control (K–) given distilled water, a positive control (K+) given ciprofloxacin, and three treatment groups receiving P. foetida extract at 100 mg/kg BW (P1), 300 mg/kg BW (P2), and 500 mg/kg BW (P3). The analysis revealed significant differences among groups, with the highest mean liver weight recorded in P1 (1.3750 ± 0.3932). Liver abnormalities included enlargement, increased organ mass, swelling, and thickening of one liver lobe, which may reflect heightened hepatic workload during infection and toxin clearance. Interestingly, the normal group showed greater liver weight than several treatment groups, possibly due to fatty accumulation within hepatic tissue, which can influence overall organ mass.
Risk analysis of air quality for parameters NO2, SO2, NH3, and Ox from the area around fertilizer industries in Indonesia Alighiri, Dante; Widodo, Naufaldi Bani; Abdullah, Ravely Adhitya; Firnanda, Indah Putri; Drastisianti, Apriliana
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.23331

Abstract

Industrial zones with intensive human activities often experience air-quality degradation, particularly in areas surrounding fertilizer production facilities. This study analyzes the concentrations of nitrogen dioxide (NO₂), sulfur dioxide (SO₂), ammonia (NH₃), and oxidants (Ox) in the ambient air around fertilizer industries in Indonesia and evaluates their potential non-carcinogenic health risks. Air sampling was conducted using an InScienPro US-1012 impinger equipped with selective absorbent solutions. Pollutant concentrations were quantified using UV-Vis spectrophotometry based on the Griess–Saltzman method for NO₂, the pararosaniline method for SO₂, the indophenol method for NH₃, and the neutral buffer potassium iodide method for Ox. Concentrations were compared with national ambient air-quality standards. To strengthen the assessment, a quantitative health-risk evaluation was incorporated using the Hazard Quotient (HQ) and Hazard Index (HI), allowing for the interpretation of long-term exposure impacts. Results show that most pollutant concentrations were below regulatory limits; however, SO₂ levels at one sampling point and NH₃ levels near the production zone were elevated. The HQ–HI analysis revealed that SO₂ at the office-area sampling point (HQ = 0.794) and NH₃ inside the processing plant (HQ = 2.238) were the dominant contributors to cumulative exposure, with HI values exceeding 1 at both locations. These findings indicate potential non-carcinogenic risks for individuals chronically exposed in areas closest to emission sources. Overall, this study highlights the importance of continuous monitoring and risk-based evaluation to identify localised hotspots, inform mitigation strategies, and enhance emission control practices in fertiliser-industrial environments.
Analysis of Population, Poverty, Unemployment Rate, and Gini Ratio on Human Development Index in Bangka Belitung Suhendra, Helen; Adam Indra Sakti; Muhammad Akbar Khaffi; Dalimunthe, Desy Yuliana; Haris Zirtana; Ridho Juniar; Diah Novita Sari; Muhammad Raqi Tama; Kristin Verahditiya
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.23671

Abstract

The Human Development Index (HDI) is a measure that evaluates human development achievements based on fundamental quality-of-life components that can influence individual productivity levels. This study aims to analyze the impact of Population Size, Percentage of Poor Population, Open Unemployment Rate (TPT), and Gini Ratio on the Human Development Index (HDI) in the Bangka Belitung Islands Province from 2018 to 2023. The panel data regression method was employed, combining time series and cross-sectional data to provide more accurate information. The findings reveal that the HDI of the Bangka Belitung Islands Province has increased yearly, though it remains below the national average. The selected model was the Fixed Effect Model (FEM) based on the results of the Chow and Hausman tests. Analysis indicates that Population Size has a positive and significant effect on HDI, while the Percentage of Poor Population has a negative and not significant effect. Additionally, the Open Unemployment Rate (TPT) has a positive and significant effect on HDI, whereas the Gini Ratio has a negative and significant effect. Simultaneously, the four independent variables contributed 95.44% to HDI. These findings are expected to inform government efforts to improve human development quality, such as poverty alleviation, and highlight the need for attention to population management in balancing employment opportunities in the region and the government should work to reduce the unemployment rate through policies that focus on job creation, increasing workforce competitiveness, and addressing inequality, as reflected by the Gini ratio. This can be achieved by expanding equitable access to education and healthcare.
Kombucha origin clustering based on 16S metabarcoding datasets analysis Nugroho, Imam Bagus; Darmawan Ari Nugroho; Abdul Rahman Siregar
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 2 (2025): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i2.23949

Abstract

Consumers of fermented products increasingly demand detailed information on product ingredients, quality, health benefits, and origin. Herein, we have chosen kombucha as a model for a fermented product. This study aims to establish the origin information of kombucha using clustering analysis of 16S metabarcoding datasets. We have downloaded and analysed datasets of kombucha 16Smetabarcoding originating from 5 distinct places: Brazil, the United States, the United Kingdom, Turkey, and Thailand. We randomly selected datasets from the collection (n = 32) and analysed them on the SHAMAN server to develop an initial microbiome profile. We implemented hierarchical agglomerative Clustering and found that Ward's method and the Chao distance produced the best cluster tree, which consistently separates kombucha into five distinct clades, reflecting their origin. We have extended our examination to include more datasets (n=13) to build the final cluster tree (total n = 45). We have also assessed the uncertainty of the final Clustering by pvclust in R. The pvclust cluster tree is comparable in topology to the final cluster tree built using Ward's method and Chao distance. The pvclust cluster tree features stable clades that are highly supported by AU (Approximately Unbiased) values (p-value ≥ 95%). Each kombucha was also placed correctly and consistently according to its respective origin. We have successfully conducted analyses and demonstrated that a simple clustering method, combining Ward's method and the Chao distance, is the most effective for classifying kombucha by origin using a 16S metabarcoding dataset.
Legendre Collocation approach for Integro-Differential equations Oyedepo, Taiye; AYOADE, Abayomi Ayotunde; ISHOLA, Christie Yemisi; AYINDE , Addullahi Muhammed
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.25114

Abstract

This study presents the application of the Legendre Collocation Method (LCM) for solving Integro-Differential Equations (IDEs), which model a range of scientific and engineering problems.IDEs, involving both differential and integral terms, often require numerical methods for their solutions due to the complexity of obtaining exact solutions. The proposed approach transforms IDEs into systems of linear algebraic equations using shifted Legendre polynomials. By collocating the resulting equations, approximate solutions are efficiently computed. The accuracy of the method is validated through several numerical examples, including Volterra and Fredholm types of IDEs, and the results are compared with known exact solutions. The effectiveness and robustness of LCM are demonstrated through high-order approximations. The theoretical uniqueness of the method is established using relevant theorems, including the Banach Contraction Principle. Overall, the LCM provides a reliable and efficient technique for solving a wide class of IDEs with high accuracy. 
Null Bézier Curves in Minkowski 3-Space Arfah
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 2 (2025): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i2.25323

Abstract

In this paper, we define and investigate the properties of null Bézier curves in Minkowski 3-space. The method applied is a theoretical literature study, applying the definitions of Bézier curves and the geometric framework of null curves in semi-Riemannian geometry. We establish several fundamental characteristics of these curves, including the causal nature of their tangent vectors at endpoints and their Frenet frame apparatus when parametrized by pseudo-arc length. Furthermore, we define the concept of a null Bertrand pair for such curves and prove that if a null Bézier curve of degree n≥3 admits a Bertrand mate, then both curves are necessarily helices. Finally, we provide a conclusive parametric representation of any null Bézier curve in terms of a single non-constant function. This representation offers a powerful tool for explicitly constructing null Bézier curves within this geometric setting.

Page 21 of 23 | Total Record : 222

 19   20   21   22   23 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol. 11 No. 2 (2025): December Vol. 11 No. 1 (2025): June Vol. 10 No. 2 (2024): December Vol. 10 No. 1 (2024): June Vol. 9 No. 2 (2023): December Vol 9, No 1 (2023): June Vol. 9 No. 1 (2023): June Vol 8, No 2 (2022): December Vol 8, No 1 (2022): June Vol 7, No 2 (2021): December Vol 7, No 1 (2021): June Vol 6, No 2 (2020): December Vol 6, No 1 (2020): June Vol 5, No 2 (2019): December Vol 5, No 1 (2019): June Vol 4, No 2 (2018): December Vol 4, No 1 (2018): June Vol 3, No 2 (2017): Volume 3, Nomor 2, 2017 Vol 3, No 1 (2017): Volume 3, Nomor 1, 2017 Vol 3, No 2 (2017): December Vol 3, No 1 (2017): June Vol 2, No 2 (2016): Volume 2, Nomor 2, 2016 Vol 2, No 1 (2016): Volume 2, Nomor 1, 2016 Vol 2, No 2 (2016): December Vol 2, No 1 (2016): June Vol 1, No 2 (2015): Volume 1, Nomor 2, 2015 Vol 1, No 1 (2015): Volume 1, Nomor 1, 2015 Vol 1, No 2 (2015): December Vol 1, No 1 (2015): June More Issue