cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Suhartono
Contact Email
suhartono@usk.ac.id
Phone
-
Journal Mail Official
jurnal.natural@fmipa.unsyiah.ac.id
Editorial Address
Block A 2nd Floor FMIPA USK Jl. Tegk. Syech Abdurrauf No. 3, Banda Aceh, 23111, Indonesia
Location
Kab. aceh besar,
Aceh
INDONESIA
Jurnal Natural
Published by Universitas Syiah Kuala
ISSN : 14118513     EISSN : 25414062     DOI : https://doi.org/10.24815/jn
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Energy Immunology & microbiology Neuroscience Physics
Jurnal Natural (JN) aims to publish original research results and reviews on sciences and mathematics. Jurnal Natural (JN) encompasses a broad range of research topics in chemistry, pharmacy, biology, physics, mathematics, statistics, informatic and electronic.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Volume 25 Number 2, June 2025" : 6 Documents clear
Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023 Angraini, Yenni; Ramdani, Indri; Indahwati, Indahwati
Jurnal Natural Volume 25 Number 2, June 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v25i2.41856

Abstract

Climate change is happening worldwide, so global climate conditions are a major concern. In densely populated urban areas such as Jakarta, it is impossible to avoid the impacts of climate change, particularly the daily changes in air temperature. Therefore, a sophisticated and efficient approach is needed to find inconsistencies in daily air temperature data to provide critical information for sustainable urban planning and efforts to reduce risks. This research will combine two innovative approaches for hybrid anomaly detection. The method combines generative methods and can extract complex features, such as variational autoencoder (VAE), along with the temporal coding capabilities of long-short-term memory (LSTM), a type of Recurrent Neural Network (RNN). The data used in this study is the average daily air temperature data in Jakarta, obtained from the Kemayoran Meteorological Station and provide by the Meteorology, Climatology, and Geophysics Agency (BMKG). The data used is daily from April 2000 to December 2023. The threshold used to detect anomalies was 229.5, which resulted in excellent performance, namely F1-Score 0.985, Recall 1.000, and Precision 0.971. The VAE-LSTM model identified all dates with significant temperature anomalies, including January 21, 2014, February 22, 2014, November 12, 2014, and February 9, 2015. These dates are significant as they represent extreme weather events that can have severe implications for urban planning and climate change adaptation. The anomalies fall into the categories of point and contextual anomalies. This study contributes to climate research by providing evidence of the effectiveness of deep learning-based hybrid models in detecting complex and context-sensitive temperature anomalies.
Biodegradation of diisobutyl phthalate using fungi plastisphere isolated from plastic waste in mangrove Kadilangu area Baharudin, Jalu Bahtiar; Rakhmawati, Anna
Jurnal Natural Volume 25 Number 2, June 2025
Publisher : Universitas Syiah Kuala

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

Abstract

Diisobutyl phthalate, an additive in plastic production belonging to the group of xenobiotic substances, has a negative impact on human health, especially on the reproductive system. In Indonesia, the presence of plastisphere fungi is often used as a degrading agent for xenobiotic substances. Plastisphere fungi show enzymatic activity to degrade xenobiotic substances but have not been widely studied. Therefore, this research aims to assess the ability of several genera of plastisphere fungi to degrade diisobutyl phthalate and evaluate their enzyme activity and their tolerance under heavy metal stress. The method for determining degradation used an UV-VIS spectrophotometer at wavelength of 362 nm, fungal identification used profile matching method, the presence of oxidoreductase enzymes in fungi was assessed using qualitative method with selective media (ABTS 200 mg/L, phenol red 50 mg/L, and methylene blue 4%), and their tolerance to heavy metals at a concentration of 50 ppm was analyzed using tolerance index method. The identification results of fungi come from the genera Acremonium and Aspergillus, and tolerance index analysis revealed that these genera have high tolerance to very tolerant (0.91-1.23) to the metals (copper, chromium, and lead) induced stress. Evaluation of oxidoreductase enzyme activity showed that Aspergillus from isolate LT2(1) had laccase, lignin peroxidase, and manganese peroxidase enzymes. Analysis of diisobutyl phthalate degradation using an UV-VIS spectrophotometer with wavelength of 362 nm showed that all isolates were able to degrade diisobutyl phthalate within 14 days of incubation period at room temperature (20oC-23oC) under copper-induced stress, with the highest isolate degrading diisobutyl phthalate is Aspergillus LT2(1) (75.57%), followed by Acremonium PK2(2) (60.65%), and Aspergillus HT3(2) (36.79%). Based on these findings, it can be concluded that Aspergillus LT2(1) shows the best agent to degrade diisobutyl phthalate because it has the ability to regulate the flow of nutrients and energy through the structure of hyphae and mycelial tissues and produces oxidoreductase enzymes that are able to degrade recalcitrant compounds.
Species and index diversity of macrofungi from two different locations in East Kalimantan ARIF, MUHAMMAD FAUZI; DEMO, HILDIANA APRILIANI DHIU; YULIANI, FERDINA; HAZMI, NUBLI; ROSADI, IMAM; YULIATIN, ERVINDA; SUGIANUR, SUGIANUR; ABRIYANTO, HERY
Jurnal Natural Volume 25 Number 2, June 2025
Publisher : Universitas Syiah Kuala

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

Abstract

East Kalimantan represents the lowland rainforest ecosystem with a vast number of macrofungi species in Indonesia. This study aimed to evaluate the diversity of macrofungi within the two different locations in East Kalimantan. The study was conducted in several phases, including planning, survey, preparation, sampling, and data analysis. Sampling was carried out systematically in 20 20 m plots. Collected samples were processed, photographed, and identified. Ecological indices, including the Shannon-Wiener diversity index, species evenness, and the Simpson dominance index, were calculated to provide a detailed analysis of the macrofungal community structure. This study found that location 1 recorded 24 species from 21 genera, while location 2 had 22 species from 20 genera. The Shannon-Wiener diversity index indicated moderate diversity at both sites, with values of 2.82 for location 1 and 2.65 for location 2. Daedaleopsis confragosa was the most frequent and dominant species in location 1, contributing 12.03% relative density, while Marasmiellus candidus dominated location 2 with 18.51% relative density. Species evenness was medium in both locations, and the dominance index was low, highlighting the ecological significance of these fungal species in their respective habitats. The results emphasize the importance of studying fungal ecology to support conservation and sustainable environmental management. The study revealed a wide variety of macrofungi that play vital roles in the tropical ecosystems of these two locations in East Kalimantan.
Effect of mulch and liquid organic fertilizer on shallot production (Allium cepa) Sriwati, Rina; Nasrullah, Nasrullah; Sugianto, Sugianto; Samadi, Samadi; Pratama, Said Mirza; El Ryiad, Kevin Rizqullah
Jurnal Natural Volume 25 Number 2, June 2025
Publisher : Universitas Syiah Kuala

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

Abstract

Shallot (Allium cepa) is an economically valuable and highly nutritious crop whose productivity can be increased through optimal cultivation practices. This study investigated the combined effects of mulch and liquid organic fertilizer (LOF) on onion yield and performance. A factorial randomized block design (RCBD) was used consisting of two factors, namely mulch type (no mulch, black and silver plastic mulch, rice husk mulch, and shallot skin mulch) and LOF dosage (no LOF, 1,000 L/ha, and 1,500 L/ha). Data were analyzed using Least Significant Difference (LSD) and Duncan's Multiple Range Test (DMRT) at = 5%. The application of rice husk mulch and LOF at a dose of 1,500 L/ha resulted in the highest number of bulbs, bulb diameter, wet weight, dry weight, soil microbial population, and peroxidase enzyme activity among all treatments. This study demonstrates that rice husk mulch and LOF at a dose of 1,500 L/ha can significantly enhance shallot production. Additionally, the findings indicate that the use of rice husk mulch and LOF at a dose of 1,500 L/ha can boost soil microbial population and increase peroxidase enzyme activity.
The immunostimulant effect of jamblang stem bark (Syzygium cumini L.) ethanol extract against mice macrophages phagocytosis activity and capacity Rosnizar, Rosnizar; sari, widya; Syahfitri, Widya; Kusuma, Hendrix Indra; safitri, novi; izzazaya, annisa
Jurnal Natural Volume 25 Number 2, June 2025
Publisher : Universitas Syiah Kuala

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

Abstract

This study aims to determine the effect of administering Jamblang Stem Bark Ethanol Extract (Syzygium cumini L.) (JSBEE) on the activity and phagocytosis capacity of macrophages in mice (Mus musculus) infected with Staphylococcus aureus bacteria. The research method used a completely randomized design (CRD) with five treatments and five repetitions, conducted in-vitro and in vivo test. The treatments for in vitro involved administering distilled water (T0), Stimuno (T1), and JSBEE at concentrations of 10 ppm (T2), 100 ppm (T3), and 1000 ppm (T4). Subsequently, in vivo treatment was conducted using distilled water (T0), stimuno (T1), JSBEE at 10 mg/kg (T2), 100 mg/kg (T3), and 1000 mg/kg (T4). Initially, mice underwent in vivo administration of JSBEE, administered orally via catheter tip, with a dosage of 1 mL per 10 g of body weight. JSBEE was administered orally for 10 days, followed by infection with S. aureus on the 11th day. The in vitro tests were conducted by isolating macrophage cells from the intraperitoneal fluid, to which S. aureus and JSBEE were added. Intraperitoneal fluid collected from the mice was used to prepare smears using the thin blood smear method and Giemsa staining. Macrophage phagocytosis activity was observed and assessed based on the percentage activity formula, and the phagocytic capacity of macrophages was measured by the number of S. aureus cells phagocytosed. The results indicated that JSBEE significantly affected (P0.05) both the activity and phagocytic capacity of macrophages in vivo and in-vitro. The best concentration of JSBEE for increasing both the activity value and phagocytic capacity of macrophages was 100 ppm (T3).
Analysis of particle dynamics, event horizon, and thermodynamic properties of black holes in the Ghasemi-Nodehi-Bambi metric Siagian, Ruben Cornelius
Jurnal Natural Volume 25 Number 2, June 2025
Publisher : Universitas Syiah Kuala

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

Abstract

Black holes, as complex astrophysical objects, are strongly influenced by their metric parameters. This research focuses on the Ghasemi-Nodehi-Bambi (G-N-B) metric, an extension of the Kerr solution, which introduces additional parameters to more accurately describe the properties of black holes. The research investigates the impact of parameter variations in the G-N-B metric on black hole thermodynamics, particle dynamics, and event horizon structure. Analytical and numerical methods are applied to examine the quadratic equations governing event horizons, particle motion, and black hole temperature and entropy. The research explores the variation of parameters (M) and (a) within a certain range to evaluate their influence on the gravitational distribution and the effect of frame attraction. The distribution of (M) values was visualized on a logarithmic scale to highlight the sensitivity of the system to parameter changes. The study found that variations in the G-N-B metric parameter significantly affect the event horizon, with the likelihood of extreme black holes or naked singularities forming depending on the discriminant of the quadratic equation. Particle motion is affected by parameters (M) and (a), which alter the gravitational field and orbital stability. The black hole temperature and entropy show significant changes: an increase in (M) increases gravity and surface temperature, while an increase in (a) decreases temperature due to rotational effects. The research improves the understanding of black holes beyond the Kerr model, especially in terms of black hole thermodynamics and time-space structure.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Volume 25 Number 3, October 2025 Volume 25 Number 2, June 2025 Volume 25 Number 1, February 2025 Volume 24 Number 3, October 2024 Volume 24 Number 2, June 2024 Volume 24 Number 1, February 2024 Volume 23 Number 3, October 2023 Volume 23 Number 2, June 2023 Volume 23 Number 1, February 2023 Volume 22 Number 3, October 2022 Volume 22 Number 2, June 2022 Volume 22 Number 1, February 2022 Volume 21 Number 3, October 2021 Volume 21 Number 2, June 2021 Volume 21 Number 1, February 2021 Volume 20 Number 3, October 2020 Volume 20 Number 2, June 2020 Volume 20 Number 1, February 2020 Volume 19 Number 3, October 2019 Volume 19 Number 2, June 2019 Volume 19, Number 1, February 2019 Volume 18, Number 3, October 2018 Volume 18, Number 2, June 2018 Volume 18, Number 1, February 2018 Volume 17, Number 2, September 2017 Volume 17, Number 1, March 2017 Volume 16, Number 2, September 2016 Volume 16, Number 1, March 2016 Volume 15, Number 2, September 2015 Volume 15, Number 1, March 2015 Volume 14, Number 2, September 2014 Volume 14, Number 1, March 2014 Volume 13, Number 2, September 2013 Volume 13, Number 1, March 2013 Volume 12, Number 2, September 2012 Volume 12, Number 1, March 2012 Volume 11, Number 2, September 2011 Template More Issue