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
 15   16   17   18   19 
Analgesic activity test of Inggu leaf (Ruta angustifolia [L.] Pers) with Tail Flick and Writhing Test method Ariasti, Mia; Busyairi Muhsin, Lalu
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

Abstract

Pain is a sensory and emotional experience related to tissue damage. This study aims to determine the analgesic effect of ethanol extract from Inggu leaves and the effective dose of ethanol extract of Inggu leaves by tail flick and writhing test methods. The tail flick and writhing test methods have been widely used to develop non-steroidal anti-inflammatory drugs. Steroid and flavonoid compounds contained in Inggu leaves are thought to have an effect as analgesics. The powder of Inggu leaves was extracted using the maceration method with 96% ethanol solvent. A total of 25 Wistar male white rats were divided into 5 groups, namely positive control mefenamic acid 9 mg/200 g BB, negative control CMC Na 1%, ethanol extract of Inggu leaves doses of 5 mg/200 g BB, 10 mg/200 g BB and 20 mg/200 g BB. The data obtained were analyzed using the ANOVA test, and then the LSD test was used to determine the differences between groups. The results showed that the 5 mg/200 g BW extract doses, 10 mg/200 g BW, 20 mg/200 g BW, and positive control significantly differed from the negative control group. The extract dose of 20 mg/200 g BB is comparable to the positive control, indicating that the extract dose of 20 mg/200 g BB has the most effective analgesic activity.  
Advanced oxidation processes technology using the Fenton method in Bakung landfill leachate treatment Teguh, Dedi; Cendekia, Devy; Wulandari, Yeni Ria; Putri, Cynthia Eka; Ramandani, Adityas Agung
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

Abstract

The primary issue at the Bakung final processing location was the high organic and inorganic material concentration. Toxicity, high chemical oxygen demand (COD), a black hue, and an unpleasant smell can usually identify landfill leachate; it can be hazardous if spilled directly into a body of water. Consequently, the implementation of an efficient leachate treatment was necessary. One use of this cutting-edge oxidation process technology consists of the Fenton method for treating leachate. The goals of this study involve implementing the Fenton technique to leachate treatment and ascertaining the impact of reaction time (30, 60, 90, or 120 min) and Fenton molar ratio (1:150, 1:200, or 1:250) on color degradation and chemical oxygen demand (COD). A Fenton molar ratio of 1:150 and a 120-min reaction period were ideal, resulting in maximum color and COD degradation percentages of 91.4% and 92.4%, respectively. The study's findings demonstrate how well the Fenton approach works to reduce COD and color in leachate while also meeting leachate water quality requirements for enterprises and/or ultimate waste processing operations.
Design of an Arduino-based automatic sound timer system for mosques and prayer rooms Fadlil, Fadlil; Tri Wahono; Edi Ismanto; Azaki Khoirudin
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

Abstract

The uncontrolled use of sound systems in mosques, especially after the call to prayer and iqomah, often leads to waste of energy and disturbances to the surrounding environment. This research aims to develop an Arduino-based automation system that can set the time of turning on and off the sound system in the mosque according to the adhan schedule, in order to improve operational efficiency and reduce electricity consumption. The system is designed using an Arduino UNO microcontroller, which regulates the sound device via a relay based on manually entered timing. Testing was carried out using Wokwi software simulations, and the results were then applied to a physical prototype. Testing is carried out with various time settings (5, 10, 15, and 20 minutes) to assess the accuracy and reliability of the system. The test results showed that the system was able to control the sound device with a 100% success rate in all the times tested. This system has proven to be effective in reducing the duration of unnecessary use of sound devices, potentially saving energy. The developed system provides a practical solution to reduce energy waste in mosques and improve the operational management of sound devices. Further implementation of this system in mosques can provide significant social and environmental benefits, especially in terms of congregational comfort and energy savings. Field testing as well as the development of IoT-based technologies in the future can expand the functionality of these systems.
Enhancing the productivity of irrigated rice fields in West Nusa Tenggara through utilizing Multilayer Perceptron (MLP) and Self-Organising Maps (SOM) Chaerunnisa, Azzahra Fajriani; Kartikasari, Mujiati Dwi
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

Abstract

As Indonesia's population grows, ensuring a stable food supply becomes increasingly important. Recent changes in weather patterns have significantly impacted food production, particularly rice farming. In West Nusa Tenggara (NTB), a key area for rice production, maintaining consistent output is crucial. However, varying responses to unpredictable weather have led to significant differences in productivity across NTB's regencies and cities. This study aims to enhance the productivity of irrigated rice fields in NTB by predicting productivity levels for 2023 to 2024 using the best multilayer perceptron (MLP) model. We will compare 5 MLP model architectures to identify the optimal model for the prediction process. We will use the prediction results to cluster areas regionally through the self-organizing map (SOM) algorithm. We used the Davies-Bouldin Index (DBI) to determine the optimal number of clusters. This research compared DBI values for cluster counts of 2, 3, 4, and 5, determining the optimal cluster number by the smallest DBI value. The lowest DBI is 0.391 observed for 3 clusters. From this clustering, Cluster 1 consists of 7 regencies/cities with the lowest productivity level, Cluster 2 contains 1 regency with a moderate productivity level, and Cluster 3 includes 2 regencies/cities with the highest productivity level. The study concludes that the 7 regencies/cities in Cluster 1, identified as having low productivity require greater focus from local governments to optimize land area and paddy yields to enhance productivity in those areas.
Physico-chemical characteristics of Figs Herbal Tea (Ficus racemosa L.) as a functional antidiabetic drink Dewi, Yuli Kusuma; Suryani, Novia
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

Abstract

(Ficus racemosa L.) contain secondary metabolite compounds such as flavonoids, saponins, alkaloids, steroids, and tannins that have potential as a source of antioxidants. This study aims to determine the drying temperature variations on physicochemical characteristics of figs as an antidiabetic functional drink. The research methods begin by drying figs at various temperature (50°C, 60°C, and 70°C). The phytochemical test was followed by qualitative color change. The moisture content measurement was done using the thermogravimetric method. Then, the FTIR instrument identified the functional groups of organic compounds. Phytochemical analysis revealed the presence of flavonoids and tannins in all tea samples, regardless of drying temperature. FTIR spectroscopy confirmed the presence of phenolic compounds, characterized by O-H, Csp, and C=O enol groups. The pH of the tea at 50°C, 60°C, and 70°C, was 6.13; 5.64; and 5.59, the acidity of the pH obtained was indicated by the presence of phenolic compounds in all samples. The tea's moisture content was found to be within the Indonesian National Standard (<8%) at 60°C and 70°C, were 5.50% and 4.10%. Thus, fig tea, dried at 60°C or 70°C, can be developed as a functional antidiabetic drink.
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

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.
Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel Faisol, Faisol; Mardianto, M. Fariz Fadillah; Yudistira, Ira; Yulianto, Tony; Hasanah, Sarmiatul
Journal of Natural Sciences and Mathematics Research Vol. 9 No. 1 (2023): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

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

Abstract

Salinity is one of the factors that affect salt production. Salinity is defined as the level of saltiness or too much salt in water. The salt in question is a variety of ions dissolved in water, including table salt (NaCl). The higher the level of NaCl contained, the better the quality of the salt formed. This low quality causes Indonesia to import salt, both consumption salt and industrial salt. Because most of the quality of salt still does not meet the criteria of SNI. For this reason, it is necessary to predict the salinity of seawater to help determine the next steps or policies in improving the quality of salt in Indonesia, especially in the Madura area. This research is examined in the form of a nonparametric regression curve estimator with a truncated spline estimator approach, Fourier series and kernel. From the comparison results, the best model for predicting seawater salinity is the estimator of the Fourier series base sine cosine with an oscillation parameter (k) of 2 with a GCV value of 5.017987 and MSE and a coefficient of determination of 0.06299933 and 94.64373%. So the prediction results obtained in this study are close to accurate with MAPE values of 0.07225208%, MSE of 0.0001441417 and coefficient of determination of 99.99%.
Early detection model of Parkinson's Disease using Random Forest Method on voice frequency data Rifqah Fahira, Nurul; Lawi, Armin; Aqsha, Masjidil
Journal of Natural Sciences and Mathematics Research Vol. 9 No. 1 (2023): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

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

Abstract

Parkinson's disease is the most common nervous system disease that affects all ethnicities, genders, and ages, with a higher prevalence in the elderly and men. Developing countries tend to have higher cases of Parkinson's. The prevalence of death due to Parkinson's in Indonesia reaches the fifth highest cases in Asia and 12th in the world. This neurodegenerative disease affects a person's ability to control movement. Currently, the diagnosis of Parkinson's disease is only based on observation of motor symptoms. Therefore, early detection of the disease cannot be done. His paper proposes an efficient way to detect Parkinson's disease symptoms by comparing the fundamental frequencies of patients' voices using the random forest method. Random forest is a Machine Learning method that applies the ensemble concept, which aims to improve the performance of the classification by combining several decision trees as a basis. Random forests have shown superior algorithm performance in numerous health studies. In this study, the dataset consisted of 20 patients with Parkinson's and 20 normal patients. Data for each patient was taken from 26 types of voice records, and thus, the total data was 1,040 observations. The obtained data is prepared by filtering and rescaling. Then, the data is split and modelled using the Random Forest Method. The random forest model obtained accuracy results of 72.50%, precision (normal) of 72.28%, precision (Parkinson's) of 72.73%, sensitivity (normal) of 73.00%, sensitivity (Parkinson's) of 72.00% and AUC is 80.70%. The built random forest model is quite good at Parkinson's disease detection.
Precipitated calcium oxide nanosize from limestone and blood clam shells Pujiastuti, Caecilia -; Muljani, Srie; Sumada, Ketut
Journal of Natural Sciences and Mathematics Research Vol. 9 No. 1 (2023): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

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

Abstract

Calcium oxide (CaO) is a product that is needed by various types of industries such as the pharmaceutical, chemical, agricultural and health industries. CaO is generally produced by the calcination method of CaCO3 materials such as calcium carbonate rocks or from various types of shells. The calcination method requires a large amount of energy because the operating temperature is above 1000 C and the resulting calcium oxide product is still micrometer size. This study developed nanosize precipitated CaO from two calcium sources, namely blood clam shells and limestone. For clam shells using hydrochloric acid as a solvent and sodium hydroxide as a precipitating agent, while for limestone using phosphoric acid as a solvent and potassium hydroxide as a precipitating agent. The effect of acidity (pH) and calcination temperature on the characteristics of the precipitated CaO was observed. The blood calm shell produces precipitated CaO 85-92 % with a particle size of 200-250 Nm and the limestone produces precipitated CaO 42-66% with a particle size of 250-300 Nm 
Formulation and analysis of physical properties of Turi leaf extract suspension (Sesbania grandiflora L.) Amananti, Wilda; Pratiwi‬, ‪Rosaria Ika
Journal of Natural Sciences and Mathematics Research Vol. 9 No. 1 (2023): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

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

Abstract

Sesbania Grandiflora .L is a type of plant that has so many benefits in the treatment of various kinds Diseases include laxatives, pain relievers (analgesics), fever reducers (antipyretic), laxative urine (diuretic), and others. Almost all parts of This plant belonging to the genus Sesbania Grandiflora is efficacious as a medicine covering the skin stems, flowers, leaves and roots. Sesbania Grandiflora .L  contains alkaloid compounds, glycosides, flavonoids, saponins, tannins and phenols which give a positive reaction in the phytochemical screening assay. Turi leaf extract need to be made in the form of pharmaceutical dosage forms for ease of use. One preparation that can be applied is a suspension.In this study, turi leaf extract was used as the active substance. The suspension was made in 3 formulas with different concentrations of turi leaf extract. The finished suspension was tested for physical characteristics including organoleptic test, homogeneity test, pH test, density test and viscosity test.Based on the results of secondary metabolite tests, turi leaves contain alkaloids, flavonoids, tannins and saponins. Based on the results of testing the physical properties of the suspension, it showed that all formulas met SNI standards based on organoleptic, homogeneity, pH and density tests. while based on the viscosity test the suspension made does not meet SNI standards.

Page 17 of 23 | Total Record : 222

 15   16   17   18   19 

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