cover
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
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 25 Documents
Search results for , issue "Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science" : 25 Documents clear
Towards a Geobotanical Insight into Vegetation Adaptation in Quaternary Mud Volcanoes: Java Island, Indonesia Sitinjak, Eri Sarmantua; Harbowo, Danni Gathot
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.2774-3047.272

Abstract

Since the Lusi eruption in 2006, interest in studying mud volcanoes in Indonesia has significantly increased, with most research focusing on the onshore Northeast Java Basin (Kendeng and Rembang Zone), yet comprehensive studies on the vegetation surrounding these mud volcanoes, particularly from a geobotanical perspective, are lacking. This study aims to document and analyze the vegetation around various 18 mud volcanoes in Java Island, Indonesia and explore its relationship with the geological characteristics of the volcanoes. Through field mapping and site visits to all identified 18 mud volcanoes on Java and Madura Island, samples of mud and vegetation were collected for detailed laboratory analysis. By examining the vegetation that grows at the center and the periphery of the mud volcanoes, a relationship between vegetation composition and the mud volcanoes in Java Island, Indonesia, can be identified. It becomes more interesting as saline substrates play a key role in their adaptation. The vegetation surrounding quaternary mud volcanoes in Java Island is significantly influenced by the characteristics of the erupted mud material. Plants from the families Poaceae, Fabaceae, Asteraceae, Cyperaceae, and Euphorbiaceae are well-adapted to the vicinity of mud volcanoes in both the Kendeng zone, rich in marl from the Kalibeng formation, and the Rembang zone, rich in clay. These plants can thrive and adapt to substrates with distinctive chemical characteristics, such as high salinity levels (>10%) and dominant calcium and magnesium content (30–60%). This research indicates a complex interplay between geological factors and plant species distribution in the unique environment of mud volcanoes. This research is expected to inspire further studies on this unique geological feature and advance the field of geobotanical study.
Promising Mediterranean Natural Oil Based Formulation to Enhance Beard Growth and Visual Performance through In Vitro and In Vivo Studies Zahratunnisa, Hani; Pratiwi, Delfianti; Sonjaya, Ridwan
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.2774-3047.273

Abstract

A well-groomed beard allows men to look distinguished as well as boosts self-confidence and self-expression. Many chemical or natural agents are used in male grooming products to improve the growth, health and quality of a man's beard. This study aimed to evaluate the effect of various natural oils in beard oil formulation on beard growth and nourishment. High-antioxidant natural oils including olive, jojoba, apricot, argan, macadamia, soybean, and avocado oils were incorporated in a beard grooming formulation to keep the beard hydrated and hydrophobic. A microbial inhibition test was conducted to assess its ability to prevent microbial growth on the beard. A total of 39 men (aged 20–29 years) participated and they had their beards shaved and underwent a washout period for 14 days without using any beard product. After this period, baseline measurements of the beard were taken before shaving it again, with assessments including length, density, and thickness using Phototrichogram and Caselite Imaging, along with trichologist evaluation and self-assessments. The subjects used the product once a day and the improvement was measured after 2 and 4 weeks. Results indicate that the beard oil formulation significantly improved beard growth rate at W2 (12.9%, p < 0.0001) and W4 (24.30%, p < 0.0001) compared to baseline. It also increases beard density at W2 (21.93% p < 0.0001) and W4 (48.43%, p < 0.0001), and improved beard thickness at W2 (9.17%, p < 0.0001) and W4 (18.34%, p < 0.0001). According to the subject self-assessment and trichologist evaluation, the product significantly improved the overall beard’s look and growth, and reduced beard roughness and itchiness. These oils also impart antibacterial activity to inhibit P. acnes proliferation. Based on this study, a formulation containing natural antioxidant oils is effective in promoting growth and preserving health by providing nourishment to the beard.
Antimicrobial and Antioxidant Activities of Various Freeze-Dried Yogurt Fermented with The Addition of Pineapple: An In Vitro Study Auli, Winni Nur; Fajriani, Rahmatul; Anisah, Nadya; Lianti, Lita; Rahmadi, Isnaini; Nasution, Syahrizal
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.2774-3047.274

Abstract

As a fermented milk, yogurt is functional food which contains a lot of bioactive compounds beneficial for human health. Yogurt can also be made with the addition of fruit such as pineapple, where pineapple contains phytochemical compounds as antimicrobial and antioxidant. This research aims to determine the antimicrobial and antioxidant activity of freeze-dried yogurt with raw material skim milk, full cream, and soy powder with addition of pineapple juice. Antimicrobial activity was conducted using disc diffusion and macro-dilution methods. While antioxidants activity conducted using the DPPH method at a maximum wavelength of 516 nm and FTIR method. The results showed that the antimicrobial activity of freeze-dried yogurt macro-dilution method against Escherichia coli showed that most yogurt at a concentration of 1 g/mL could be determined as minimum bactericidal concentration (MBC). Antioxidant activity showed pineapple soy yogurt has the lowest IC50 namely 43.67 ± 0.21 μg/mL. Functional group analysis of samples with the highest antioxidant activity in pineapple soy yogurt showed C–H, C–C, C=O, N–H, C=C, and amide II groups. The antimicrobial and antioxidant activities of freeze-dried yogurt are influenced by the raw materials used and the addition of pineapple fruit.
Traumatic Physiological Vital Sign Fusion: Insight from Composite Spatial Similarity Measure Modelling Mensah, David Kwamena; Ofori, Micheal Arthur; Orwa, George Otieno; Hewson, Paul
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.2774-3047.275

Abstract

This paper develops a non-linear composite similarity-based framework for generating univariate physiological vital signs data from an input multivariate counterpart. The framework is built on mixture random variate using information provided by the inter-relationships among variables. This allows the latent one-dimensional data to be generated as a weighted linear combination of the multivariate data, providing an easy way to model the weights in terms of desirable data features of interest. Using variable specific non-linear composite similarity statistic to handle short, medium- and long-term auto-relationships, the framework provides a unified context for easy quantification and assessment of both vital sign and observation level relative relevance. With the above formulation, better calibration and indication of key vital signs in traumatic events is presented. An illustrative example using real physiological vital sign datasets on trauma and non-traumatic patients provides evidence on its utility in handling both key informative incident and non-incident vital sign-specific features, events and patterns for development of pragmatic health monitoring indicators.
Assessment of the Dynamics and Condition of Post-Fire Forest Recovery in the Amankaragay Massif, Kostanay Region, Republic of Kazakhstan Ozgeldinova, Zhanar; Zhanguzhina, Altyn; Mukayev, Zhandos; Berdenov, Zharas; Ulykpanova, Meruert
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.2774-3047.276

Abstract

The study evaluates the dynamics and condition of post-fire forest recovery in the Amankaragay massif of the Kostanay region, Republic of Kazakhstan, which has been subjected to both natural and anthropogenic pyrogenic influences, resulting in structural transformations within the forest ecosystems and pyrogenic succession processes. The objective of this research is to assess natural forest regeneration after wildfires through an integrated approach, combining field studies and remote sensing data, and to analyze structural changes in forest landscapes due to fire disturbances. Three sample plots were selected for analysis: all affected by wildfires between 2004 and 2024, with assessments carried out using high- and medium-resolution satellite imagery. The methodology included the use of differenced normalized burn ratio (dNBR) analysis to assess fire severity, normalized difference vegetation index (NDVI) analysis to evaluate the intensity and dynamics of post-fire vegetation recovery, and geospatial analysis using ArcGIS 10.8. Additionally, supervised classification of satellite imagery and field surveys were conducted to validate remote sensing data. The results indicate significant structural changes in forest-forming species following fire disturbances, confirmed by both remote sensing and field data. As a result, the natural regeneration of forest ecosystems was evaluated, and significant findings were obtained. Fire intensity and type influence the rate of forest recovery. The dNBR and NDVI analyses confirm the effectiveness of remote sensing for monitoring post-fire forest recovery. Remote sensing data and field assessments enable not only the evaluation of the current forest condition but also predictions for its future development. This study underscores the effectiveness of remote sensing techniques in evaluating pyrogenic succession and contributes to a deeper understanding of natural forest regeneration processes in the region. The findings can inform the development of evidence-based strategies for forest ecosystem management and post-fire restoration efforts.

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