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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
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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
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Dynamic program for selecting syari’ah share for maximum profit Maslihah, Siti; Nadhifah
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.v11i1.25420

Abstract

The right investment can increase a person's income by placing a number of funds in an investment instrument. One of the investment instruments is investing in the capital market by buying a number of stocks with good fundamentals. The selection of syari’ah shares is the right choice for the Indonesian people, most of whom are Muslim. The method used to select Islamic stocks in this study is dynamic programming. Simulations carried out with dynamic program algorithms produce selected syari’ah stocks, namely ACES, ICBP, SMGR and ANTM in order to get the maximum profit. Among the five shares, the one that provided the greatest return was ANTAM shares. This was proven in 2025 when ANTAM's share price rose by 22% even though the Indonesian economy was sluggish. ANTAM shares are given priority as shares that an investor must own.
Morrey spaces in quantum theory: on regularity of the solution of Schrödinger equation via fractional maximal operators Ramadana, Yusuf
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.v11i1.25521

Abstract

In this paper, we investigate the regularity conditions of solutions of Schrödinger Equations with forcing function in the framework of generalized weighted Morrey spaces. We utilize the established boundedness of the fractional maximal operator on generalized weighted Morrey spaces. We prove that if the forcing function does not balance local regularity and global decay, then the solution of the equation does not do so either.
Simultaneous quantification of B-complex vitamins in tablet dosage form by ultraviolet spectrophotometry using the absorption factor method Effendy De Lux Putra; Siti Morin Sinaga; Harfiansyah, M. Deddy
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.v11i1.26111

Abstract

A novel ultraviolet (UV) spectrophotometric method using the absorption factor approach was developed for the simultaneous quantification of B-complex vitamins (cobalamin, pyridoxine, riboflavin, nicotinamide, and thiamine) in tablet dosage forms. The analysis was carried out using methanol as the solvent, with distinct wavelengths selected for each vitamin: 361 nm for cobalamin, 291 nm for pyridoxine, 269 nm for riboflavin, 262 nm for nicotinamide, and 239 nm for thiamine. The method exhibited excellent accuracy, with recovery rates of 100.0851%, 100.3548%, 100.3322%, 100.7838%, and 100.4271% for cobalamin, pyridoxine, riboflavin, nicotinamide, and thiamine, respectively. This technique provides a simple, precise, and effective means for simultaneous quantification of B-complex vitamins in tablet formulations. The method satisfies all validation criteria and shows minimal interference from excipients, making it a reliable tool for quality control in pharmaceutical analysis.
Analysis of total phenolic content and antioxidant activity in Turi leaf extract (Sesbania grandiflora L.) with the use of different solvents Amananti, Wilda; Perwita Sari , Meliyana
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.v11i1.26489

Abstract

This study aims to evaluate the effect of solvent types on the total phenolic content and antioxidant activity of turi leaf extract (Sesbania grandiflora). The types of solvents used include ethanol, ethyl acetate, and n-hexane. The total phenolic content was measured using the Folin-Ciocalteu method with gallic acid as a standard, while the antioxidant activity was determined using the DPPH quenching method. The results showed that the highest total phenol content was obtained from ethyl acetate solvent (12.31 µg/mL), followed by ethanol (9 µg/mL) and n-hexane (6.34 µg/mL). However, antioxidant activity based on IC50 showed different results, where the extract with n-hexane solvent had the highest antioxidant activity (IC50 = 142.9 µg/mL) compared to ethyl acetate (IC50 = 245.47 µg/mL) and ethanol (IC50 = 271.8 µg/mL). These differences indicate that the type of solvent affects not only the amount but also the type of phenolic compounds and other bioactive compounds in the extract. This study highlights the importance of selecting an appropriate solvent to enhance the extraction efficiency of phenolic compounds and antioxidant potential.
Efficient Numerical Method for Generating Closed Form Solution for Nonlinear Bratu Differential Equations Otaide, Ikechukwu Jackson; Ekuma-Okereke Enyinnaya
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.v11i2.26950

Abstract

This study presents a numerical solution of the Bratu differential equations (BDE) using the Sumudu transform series decomposition technique (STSDT). The process combines the Adomian polynomials (AP), series expansion (SE), and Sumudu transform (ST), and it ultimately converges perfectly to the exact solution. Examining four test problems demonstrates that the strategy converges more effectively than the literature-based approach. Calculations were performed using Maple 2022 software.
Potential of local material SiO2 water Hyacinth for semiconductor materials Hidayat, Sony; Ahmad Ziyan Nafis; Muhammad Noorman Perdana; Upik Nurbaiti
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.v11i2.27406

Abstract

This study aims to examine the potential of local SiO₂ material synthesized from water hyacinth biomass waste as a candidate for semiconductor materials. Synthesis was carried out through a calcination process at temperatures above 600 °C to remove cellulose, lignin, and other impurities. Material characterization was carried out using UV-Vis spectroscopy, X-ray Diffraction (XRD), and Raman Spectroscopy. The results of UV-Vis spectroscopy showed that the water hyacinth derived SiO₂ exhibited an unusually reduced optical band gap of approximately 2.3 eV, likely influenced by impurity phases.. XRD tests indicated the presence of two crystal phases, namely the trigonal structure of SiO₂ and the monoclinic structure of the CaH₁₂O₁₇Si₂U₂ compound. Raman analysis confirmed the presence of functional groups such as Si, amorphous SiO2, CH₂/CH₃ and vibration signals from irregular sp² carbon. This combination of structures is thought to cause a lower band gap value compared to pure SiO₂. This finding indicates that SiO₂ from water hyacinth has potential as an intermediate semiconductor material, although further purification is still needed to increase the purity of the SiO₂ phase.
Forecasting the unemployment rate in West Java Province using VARX and SVR methods Kusuma Wardani, Yuniar; Sugiman
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.v11i2.27602

Abstract

This study discusses the forecasting of the Open Unemployment Rate (OUR) in West Java Province using two time series approaches: Vector Autoregressive with Exogenous variables (VARX) and Support Vector Regression (SVR). The dataset consists of monthly observations from 2018 to 2023, including variables such as OUR, the Labor Force Participation Rate (LFPR), Gross Regional Domestic Product (GRDP), and the Human Development Index (HDI). Based on the optimal lag selection using the AIC, the VARX model produced the best lag configuration of (5,2), consisting of five lags for endogenous variables and two for exogenous variables. Meanwhile, the SVR model was developed through Grid Search to find the best parameter combination, resulting in a linear kernel with  and . The evaluation results showed that the SVR model performed better than VARX, with MSE, RMSE, and MAPE values of 0.24, 0.49, and 6%, respectively, lower than those of the VARX model, which reached 0.68, 0.82, and 8.4%. SVR was selected as the best model and used to forecast the OUR until the end of 2025. The forecast results indicated a spike in OUR at the beginning of 2024 at 8.52%, followed by a declining trend that continues and stabilizes in the range of 7.96%-8.12% by the end of 2025. In conclusion, SVR outperforms VARX in predictive accuracy, while VARX remains useful for analyzing inter-variable relationships.
Seismicity analysis of the Southern Java region (2020-2024) based on the b-value and a-value using the maximum Likelihood method Apriyanti, Syafrida Dwi; Fatmasari, Nurvita; Wijayanto, Mirda Prisma; Achmad, Arifin; Muflihatun
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.v11i2.27765

Abstract

This study investigates the seismicity analysis of the Southern Java region using earthquake data obtained from BMKG Banjarnegara, comprising 1064 events recorded between 2020 and 2024. The study area spans coordinate 7.5°S-8.5°S and 108.31°E-109.50°E. The analysis was conducted using Microsoft Excel, ZMAP 7.0, and QGIS 3.28.2 to calculate the a-value and b-value, key parameters that describe the frequency and magnitude distribution of earthquakes. The magnitude of 2.6 was the most frequently observed, with 150 recorded events, while earthquakes occurring at a depth of 10 km were the most common, totaling 210 events. The high density of seismic occurrences reflects significant tectonic activity in the region. Using the maximum likelihood method, the b-value was determined to be approximately 1.09 ± 0.04, and the a-value was calculated at 5.754. The relatively low b-value suggests areas of elevated stress, implying potential for larger-magnitude earthquakes. Additionally, the spatial distribution of the a-value highlights regions of heightened seismic activity. These findings contribute to a deeper understanding of seismic behavior in Southern Java and offer valuable insights to support disaster risk reduction and earthquake mitigation efforts in the region.
Evaluating surface water and groundwater quality parameters in the Karst Mining Zone, Gunungkidul for environmental risk mitigation Yudhistira Zein Sanadha; Haerul Anwar; Faisal M. Jasin; Bayu Achil Sadjab
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.v11i2.27773

Abstract

This study aims to characterize the physical, chemical, and microbiological water parameters of the Oya River (Bleberan Playen) and groundwater in the CV Kusuma Arga monitoring well, located in the white stone mining zone, Ponjong District, Gunungkidul Regency, Special Region of Yogyakarta, Indonesia. The importance of this research is driven by the lack of comprehensive water quality data in active karst mining areas and the potential environmental and health risks associated with contamination. Parameters tested included temperature, electrical conductivity (EC), total dissolved solids (TDS), turbidity, pH, nitrite, ammonia, chloride, sulfate, detergents, dissolved iron, dissolved lead, dissolved copper, dissolved cadmium, dissolved manganese, dissolved nickel, total coliform, and fecal coliform. Testing methods referred to the Indonesian National Standard (SNI) and Standard Methods, including the use of atomic absorption spectrophotometry (AAS) for heavy metal analysis and the membrane filter method for microbiology. The test results showed that most physical and chemical water parameters from both sources met the relevant quality standards. For example, the well water temperature of 27°C and well water pH of 6.9 were both declared to be by standards. However, analysis showed lead concentrations (0.1 mg/l in the river) and cadmium (0.010 mg/l in the river) exceeding World Health Organization (WHO) recommendations for drinking water, although initially categorized as "appropriate". Furthermore, total coliform (3000-5000 MPN/100ml) and fecal coliform (4000-4500 MPN/100ml) concentrations in both samples were very high, clearly indicating a health-risking fecal contamination, despite also being declared "appropriate" in the report. The role of Environmental Engineering science is crucial in sample collection, laboratory analysis, and interpretation of this data. This study contributes to the understanding of water quality in areas affected by mining activities and emphasizes the need for further evaluation for sustainable environmental management.
Comparative study of artificial Neural Network and Kalman Filter models for blood demand forecasting at PMI Surabaya Sofia, Ainin; Teguh Herlambang; Rizqi Putri Nourma Budiarti; Endang Sulistiyani
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.v11i2.28540

Abstract

Blood plays a vital role in human health, making the need for donors and transfusions crucial. Currently, the Indonesian Red Cross (PMI) in Surabaya faces a balance issue between blood supply and demand. To address this, a blood demand forecasting model has been created at the PMI using ANN with a 4% error rate. The Kalman Filter algorithm is known to significantly reduce prediction errors from the prediction and correction process, while an ANN is considered capable of handling data complexity and nonlinearity. Therefore, this study aims to analyze the performance of the ANN and Kalman Filter models and compare the model performance results to determine the model with the best performance level. The modelling uses the CRISP-DM method, which starts from data understanding, data preparation, data modelling, model evaluation, and forecasting. The results of this study indicate that the Kalman Filter model successfully minimizes errors compared to the ANN prediction results, achieving a model accuracy level reaching 93.1%. These results demonstrate that the Kalman Filter model can significantly reduce prediction errors in the prediction and correction process, making it more optimal than the ANN model in forecasting blood demand at the PMI in Surabaya.

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