cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hanif Amrulloh
Contact Email
jmans@pandawainstitute.com
Phone
+6285664335022
Journal Mail Official
jmans@pandawainstitute.com
Editorial Address
Pratama Praja Street No. 17 Mulyojati West Metro, Metro City, Lampung. 34111
Location
Kota metro,
Lampung
INDONESIA
Journal of Multidisciplinary Applied Natural Science
Published by Pandawa Institute
ISSN : -     EISSN : 27743047     DOI : 10.47352/jmans
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics
Journal of Multidisciplinary Applied Natural Science (abbreviated as J. Multidiscip. Appl. Nat. Sci.) is a double-blind peer-reviewed journal for multidisciplinary research activity on natural sciences and their application on daily life. This journal aims to make significant contributions to applied research and knowledge across the globe through the publication of original, high-quality research articles in the following fields: 1) biology and environmental science 2) chemistry and material sciences 3) physical sciences and 4) mathematical sciences. The J. Multidiscip. Appl. Nat. Sci. is an open-access journal containing original research articles, review articles, and short communications in the areas related to applied natural science. The J. Multidiscip. Appl. Nat. Sci. publishes 2 issues in a year on January (first issue) and July (second issue). This journal has adopted a double-blind reviewing policy whereby both the referees and author(s) remain anonymous throughout the process.
Arjuna Subject : Umum - Umum
Articles 133 Documents
 8   9   10   11   12 
In vivo Evaluation of Saccharomyces-Modified Tempeh as Potential Prebiotic and Probiotic Food using Mus musculus as an Animal Model Maria Erna Kustyawati; Tegar Suryawan; Samsul Rizal; Esa Ghanim Fadhallah; Khairun Nisa Berawi
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.242

Abstract

Saccharomyces-modified tempeh (SM tempeh), which is produced by adding Saccharomyces cerevisiae during soybean fermentation, is considered to have the potential as a source of prebiotics. The research aims to determine the prebiotic activity score (PAS) of SM tempeh extract against the probiotics S. cerevisiae and Lactobacillus casei, as well as to evaluate the resistance of S. cerevisiae and Escherichia coli in the intestines of mice fed tempeh. The PAS evaluation was carried out using a factorial complete randomized block design with three replications and one-way ANOVA for data analysis followed by the least significant difference test (5%). Meanwhile, microbial survivability was carried out in vivo using male Mus musculus strain mice fed standard feed, and standard feed with tempeh extract supplementation. The results showed that the supplemetation of either SM or commercial tempeh extract to the growth media significantly affected on the microbial load of S. cerevisiae, L. casei and E. coli, but the concentrations of tempeh extract had no significant effect. Apart from that, the concentrations of tempeh extract had no effect on the PAS of S. cerevisiae and L. casei, meaning that it was able to promote the growth of probiotics in the amount added to the media in the range of 2–10%. In addition, the feeding type had a significant effect on the survival of S. cerevisiae and E. coli in the intestines. S. cerevisiae carried on SM tempeh was detected surviving in the mice intestine at a rate of 6.12 log CFU/g, indicating that the tempeh was a probiotic food. Most likely SM tempeh is a synbiotic food.
Remote Sensing-Based Urban Environmental Quality Indicators: A Review Nurwita Mustika Sari; Dwi Nowo Martono; Raldi Hendrotoro Seputro Koestoer; Dony Kushardono
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.243

Abstract

Most of the global population lives in urban areas, which also serve as hubs of economy, industry, and government activities. Various factors that affect the quality of cities have been studied in different locations. This article reviews various papers that examine environmental quality indicators in urban areas that can be extracted from remote sensing data. The first aspect is vegetation cover, which is known from the vegetation index normalized difference vegetation index (NVDI), and the second aspect is surface temperature, which is known from land surface temperature (LST). In this work, urban environmental conditions in various countries are compared with urban conditions in Indonesia based on these indicators. It is found that NDVI and LST are indicators from remote sensing that are widely used to analyze urban environmental conditions. The vegetation index has a negative correlation with surface temperature. High surface temperature creates discomfort in urban quality of life and brings mental stress to residents living in those areas. Based on bibliometric analysis and network map, it is known that there are 30 most relevant words or terms to the keywords “urban remote sensing” and “remote sensing environment indicator” with the highest frequency of occurrence and relevance. This study can serve as input for the government as policymakers and urban planners to formulate spatial planning policies oriented towards sustainability and to research current topics related and relevant to remote sensing-based urban environmental quality indicators.
Extraction and Activity Test of Antibacterial Compounds from Limberry Leaves (Triphasia Trifolia) Against Vibrio Sp. Novita Herdiana; Yosua Musada Sagala; Samsul Rizal; Maria Erna Kustyawati
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.244

Abstract

Limberry (Triphasia trifolia) is one of traditional medicinal plants whereas its leaves are known for various uses, one of which is as an antibacterial agent. The most common bacteria found in marine waters is Vibrio sp. This work seeks to distinguish antibacterial compounds inside the ethanol extract of limberry leaves and assess its repressive effect on Vibrio sp. The research was conducted with three repetitions and five different concentration levels: D1 (5%), D2 (10%), D3 (15%), D4 (20%), and D5 (25%). The observational data were analyzed using a completely randomized design (CRD) analysis of variance, followed by the least significant difference (LSD) test at a 5% significance level. Phytochemical screening revealed that the ethanol extract of limberry leaves contained antibacterial compounds namely flavonoids, tannins, steroids, alkaloids, and phenolics. UV-Vis spectrophotometry analysis indicated that the ethanol extract of limberry leaves had absorption at wavelengths of 202, 211, 228, 253, 270, and 323 nm. FTIR analysis showed that the ethanol extract of limberry leaves contained some functional groups, i.e., O–H, C–H alkanes, C–H alkenes C≡N, C=O, C=C, C–O esters, and C–O ethers. The inhibitory test also demonstrated that the ethanol extract of limberry leaves could inhibit the growth of Vibrio sp., with inhibition zone diameters formed at each concentration of 5%, 10%, 15%, 20%, and 25% being 7.280, 7.640, 7.713, 8.027, and 8.070 mm, respectively.
Optimizing Solar Power: The Impact of N719 Dye Concentration on DSSC Efficiency with TiO2 Nanoparticles Hardani Hardani; Ho Soonmin; Khaerus Syahidi; Alpi Zaidah; Sulistiyana Sulistiyana; Alpiana Hidayatulloh; Ahmad Fudholi; Lily Maysari Angraini
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.245

Abstract

Dye-sensitized solar cells (DSSC) are photoelectrochemical, alternative energy source devices that convert light energy into electricity. In this study, DSSC with various concentrations (0.1, 0.5, and 1.0 mM) of N719 dye have been successfully prepared using simple steps. The X-ray diffraction results of the TiO2 film showed that it is polycrystalline with an anatase phase (tetragonal system) having a crystallite size of about 20 nm. The absorbance spectrum of the TiO2 film and N719 dye at various concentrations was recorded by ultraviolet-visible (UV-Vis) spectrophotometer. The bandgap energy of the TiO2 film calculated by Tauc’s formula was ~3.1 eV. The DSSC prepared using the N719 dye concentration of 1 mM achieved the highest conversion efficiency (η) of 0.298 %, respectively. Subsequently, the enhancement in efficiency was ~86 % compared with the conversion efficiency of DSSC prepared with an N719 dye concentration of 0.1 and 0.5 mM.
Potential of Bioactive Compounds In Coleus amboinicus, Lour., Leaves Against Breast Cancer By Assessment Using A Network Pharmacology Approach and Cytotoxic Test Winarto Haryadi; Kasta Gurning; Jajah Fachiroh; Endang Astuti
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.246

Abstract

Breast cancer is a disease that significantly contributes to global women death. The study aims to conduct in vitro activity testing and assessment with a bioinformatics approach using a pharmacological network of bioactive compounds from bangun-bangun (Coleus amboinicus) leaves extract as a breast cancer drug. The methods used are extraction of bioactive compounds by maceration and partition, identification and analysis of bioactive compounds using the Liquid Chromatography High-Resolution Mass Spectrometry (LC-HRMS) instrument, cytotoxic testing of breast cancer cells (MCF-7) and normal cells (CV-1) with the MTT method, and assessment with a bioinformatics approach through a network pharmacology. The results of the cytotoxic test of ethyl acetate extract provided better activity with IC50 value of 102.30 and 457.09 µg/mL against MCF-7 cancer cells and CV-1 normal cells. The selectivity index value of 4.23 indicates the potential for further development in the treatment of breast cancer. The results of the analysis of chemical compound content show various types of potential bioactive compounds as breast cancer anticancer; assessment of the bioinformatics approach through networks pharmacology with pathways in cancer provides predictions of signal transducer and activator of transcription 3 (STAT3) protein as the main therapeutic mechanism target in breast cancer treatment. This study provides initial information for further research on testing and utilizing bioactive compounds from C. amboinicus leaves as an alternative treatment for breast cancer.
Acute Toxicity Study of the Leaf and Fruit Extracts of Avicennia marina (Forssk.) on Wistar White Male Mice Duryat Duryat; Rodiani Rodiani; Tri Maryono
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.247

Abstract

Avicennia marina has at least 36 types of flavonoid compounds that are potential anti-fertility agents. The study's objectives were to obtain safe doses and assess the potential risks of using A. marina extract. Toxicity testing was conducted on Wistar rats with doses of 0, 250, 500, 1000, 2000, and 4000 mg/kg BW for leaf and fruit extracts. Observations were made to measure the level of mortality and damage to important organs (liver, kidneys, and testes) both macroscopically and microscopically. Macroscopic observation included identifying changes in shape, color, and size. Microscopic observation was done to observe organ damage through histopathological tests. Results of the study show that the administration of A. marina extract, both leaf and fruit, resulted in a 100 % survival rate at all doses given and the LD50 >8 g/kg BW. Both leaf and fruit extracts of A. marina also did not cause a decrease in the size of the kidneys and testes, but at high doses, they potentially reduced liver size. These findings indicate that using A. marina extract at recommended doses is safe. Both leaf and fruit extracts of A. marina, at a dose of 250 mg/kg BW, did not cause negative effects on the major organs (liver, kidneys, and testes) of mice. This finding suggests that using A. marina extract at 250 mg/kg BW is safe for long-term use. Administration of A. marina extract at doses up to 500 mg/kg BW did not cause liver damage in mice, but it potentially caused mild kidney damage. This finding indicates that leaf and fruit extracts of A. marina still have the potential to be used as drug candidates but with dosage regulation below 500 mg/kg BW. Administration of leaf and fruit extracts at doses of 500, 1000, and 2000 mg/kg BW has been shown to reduce the fertility of mouse sperm cells by up to 30%. This finding indicates that A. marina has the potential to be a promising, safe herbal anti-fertility agent.
Green Synthesis of Hierarchical H-ZSM-5 from Sugarcane Bagasse Silica and Application as Catalyst for Conversion of Cellulose into Glucose Mita Rilyanti; Azizah Dewi Wahyu Ningrum; Ilim Ilim; Suharso Suharso; Mulyono Mulyono; Muhammad Ayoub; Wasinton Simanjuntak
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.248

Abstract

In this study, a hydrothermal method was applied for the synthesis of hierarchical ZSM-5 from sugarcane bagasse ash (SCBA) as a precursor using starch as a green template. The synthesis was conducted by the hydrothermal method with the molar composition of 1.000:0.250:0.067:30.00 for SiO2:NaOH:Al(OH)3:H2O. For comparison, the synthesis without the use of a template was also conducted. The two zeolites synthesized were then tested as catalysts for glucose production by hydrolysis of cellulose derived from rice husk. The results indicate that starch served as an effective template for the formation of hierarchical ZSM-5 zeolite having mesopores with a surface area of 94.15 m2/g and pore diameter of 2.31 nm. The ZSM-5 synthesized with the use of a template was found to have a crystallinity of 76.33%, while the zeolite prepared without a template had a crystallinity of 79.25%. Hydrolysis experiments reveal that a glucose yield of 69.20% was achieved with the use of the H-ZSM-5 prepared with a template as a catalyst, while with the use of ZSM-5 prepared without a template the glucose yield of 42.42% was achieved. These different results justified the significantly higher performances of the ZSM-5 prepared with a template. Utilization of SCBA as raw material for the synthesis of hierarchical ZSM-5 zeolite is a part of the green chemistry initiative since this research converts the industrial waste into functional material. In addition, the utilization of SCBA is also ecologically beneficial because no excessive chemicals are required in the preparation process.
Uncovering The Pharmacological Mechanism of Ficus elastica as Anti-hyperlipidemia Candidate: LC-HRMS, Network Pharmacology, In vitro and In vivo Studies Gita Susanti; Yufri Aldi; Dian Handayani; Friardi Ismed; Arif Setiawansyah
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.249

Abstract

Hyperlipidemia is a major risk factor for cardiovascular diseases. While conventional treatments exist, there is a growing interest in natural remedies with fewer side effects. Ficus elastica has promising medicinal properties, yet its potential as an anti-hyperlipidemic agent remains unexplored. This study aimed to investigate the anti-hyperlipidemic effects of F. elastica using an integrated approach of LC-HRMS-based chemical bioinformatics and in vitro/in vivo experimental validation. The anti-hyperlipidemic potential of F. elastica and its mechanism of action were screened using integrative computational network pharmacology followed by in vitro HMG-CoA reductase inhibition and in vivo lipid-lowering activity in a hyperlipidemia rat model. Network pharmacology analysis identified STAT3, HSP90AA1, and TLR4 as potential core targets involved in lipid and atherosclerosis-related KEGG pathways. Molecular docking simulations revealed high-affinity interactions between F. elastica compounds and the identified targets, notably compound 41 and compound 61. In vitro assay demonstrated that ethanolic extract of F. elastica inhibited HMG-CoA reductase with an IC50 of 297.73 µg/mL. In vivo experiment using a hyperlipidemic rat model showed significant reductions in total cholesterol, triglycerides, and increased HDL levels. The reduction of triglycerides and elevation of HDL level after F. elastica ethanolic extract supplementation is similar to the effect from supplementation of simvastatin. These findings suggest that F. elastica ethanolic extract possesses notable anti-hyperlipidemic properties, likely mediated through multiple molecular targets and pathways. The study highlights the potential of F. elastica ethanolic extract as a promising candidate for anti-hyperlipidemic therapy and underscores the efficacy of integrating computational and experimental approaches in natural product research.
Allyl-Modified of Calix[4]resorcinarene Derivatives for HER2 Inhibition Agents: An In Silico Study Fitria, Anggit; Kurniawan, Yehezkiel Steven; Ananto, Agus Dwi; Jumina, Jumina; Sholikhah, Eti Nurwening; Pranowo, Harno Dwi
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.250

Abstract

Breast cancer is one of the deathliest cancer diseases for women, with high mortality cases. Since breast cancer cells overexpressed HER2 receptors, a computerized structure-based screening was conducted to identify potential HER2 inhibitors as an anti-breast cancer agent. This method can investigate the potency of proposed compounds as potential protein inhibitors. Researchers were interested in studying some synthetic macromolecules, i.e., allyl-modified calix[4]resorcinarenes, through in silico studies as HER2 inhibitors using molecular docking studies. Prospective protein-ligand complexes for HER2 inhibition were further investigated by molecular dynamics simulations for 200 ns on different binding pockets. The allyloxycalix[4]resorcinarene derivative (5A) was identified as the most potential HER2 inhibitor through a computational approach, including molecular docking studies and molecular dynamics simulations. The HER2-5A complex was relatively stable during the 200 ns molecular dynamics run. In addition, the hydrogen bonds formed between blind docking and molecular dynamics simulations are almost unchanged for the HER2-5A complex. The HER2-5A formed with two crucial amino acid residues, i.e., Asp845 and Asn850. Moreover, the data of the molecular dynamics simulations of compounds 5A and 2A demonstrate the stability of both complexes in different binding sites of HER2. These computational results are preliminary data for further synthesis and in vitro evaluation.
Performance of Ridge Regression, Least Absolute Shrinkage and Selection Operator, and Elastic Net in Overcoming Multicollinearity Saputro, Dewi Retno Sari; Wahyu, Nugroho Lambang; Widyaningsih, Yekti
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.251

Abstract

Multicollinearity is a violation of assumptions in multiple linear regression analysis that can occur if there is a high correlation between the independent variables. Likewise, the variants of multiple linear regression models such as the Geographically Weighted Regression model (GWR). Multicollinearity causes parameter estimation using the Quadratic Method (QM) unstable and produces a large variance. On the other hand, what is expected in the estimation parameters is an estimate with a minimum variance, even though it is biased. Thus, one way to overcome multicollinearity can be to use biased estimators, such as Ridge Regression (RR), Least Absolute Shrinkage and Selection Operator (LASSO), and Elastic Net (EN). In RR, the Least Square Method (LSM) coefficient is reduced to zero but it can’t select the independent variable. However, the parameter model obtained from the Ridge Regression is biased, and the variance of the resulting regression coefficients is relatively tiny. In addition, the RR is increasingly difficult to understand if a huge number of independent variables are used. Meanwhile, LASSO is a computational method that uses quadratic programming and can act out the RR principles and perform variable selection. The LASSO method became known after discovering the Least-Angle Regression (LARS) algorithm. The LASSO method can reduce the LSM coefficient to zero to perform variable selection. LASSO also has a weakness, so EN is used. In this article, the performance of the three methods is compared from the mathematical aspect. The performance of each is written as follows, RR is helpful for clustering effects, where collinear features can be selected together; LASSO is proper for feature selection when the dataset has features with poor predictive power and EN combines LASSO and RR, which has the potential to lead to simple and predictive models.

Page 10 of 14 | Total Record : 133

 8   9   10   11   12 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 3 (2025): Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 1 (2025): Journal of Multidisciplinary Applied Natural Science Articles in Press Vol. 4 No. 2 (2024): Journal of Multidisciplinary Applied Natural Science Vol. 4 No. 1 (2024): Journal of Multidisciplinary Applied Natural Science Vol. 3 No. 2 (2023): Journal of Multidisciplinary Applied Natural Science Vol. 3 No. 1 (2023): Journal of Multidisciplinary Applied Natural Science Vol. 2 No. 2 (2022): Journal of Multidisciplinary Applied Natural Science Vol. 2 No. 1 (2022): Journal of Multidisciplinary Applied Natural Science Vol. 1 No. 2 (2021): Journal of Multidisciplinary Applied Natural Science Vol. 1 No. 1 (2021): Journal of Multidisciplinary Applied Natural Science More Issue