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Eksakta : Berkala Ilmiah Bidang MIPA
Published by Universitas Negeri Padang
ISSN : -     EISSN : 25497464     DOI : https://doi.org/10.24036/eksakta/
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering
Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) is an open access journal and peer-reviewed that publishes either original article or reviews. The journal is dedicated towards dissemination of knowledge related to the advancement in scientific research. The prestigious interdisciplinary editorial board reflects the diversity of subjects covered in this journal. Under the realm of science and technology, the coverage includes environmental science, pure and applied mathematics, agricultural research and engineering, biology, biotechnology, bioinformatics, Healthcare sciences (including clinical medicine, preventive medicine & public health), physics, biophysics, computer science, chemistry and bioengineering, to name a few. This Journal Is Published at 3 Month intervals on January-Marc, April-June, July-September and October-December
Arjuna Subject : Umum - Umum
Articles 310 Documents
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Analysis of Greenhouse Gas Emissions from Household Activities Nur Ramadhani, Ayudini; Ardiatma, Dodit; Ilyas, Nurilman
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss02/510

Abstract

Cibitung sub-district is an industrial and densely populated area, which can trigger large amounts of greenhouse gas emissions.  This study aims to determine the rate of generation and composition of household waste, estimate greenhouse gas (GHG) emissions with an IPCC approach and measurement using SPSS statistics. The independent variables used in this study are house type, household income, and electricity power with the type of GHG emissions coming from operational vehicle use, LPG use, and electricity use in household activities. Information on the management of household activities was obtained through the distribution of questionnaires with the target respondents being the community around Cibitung Sub-district. Based on the research results, the total value of GHG emissions generated by Cibitung Sub-district is 34.9565811 KgCO2eq/ month. Kelurahan Wanasari produces the highest GHG emission of 18.6809624 KgCO2eq /month while Kelurahan Sarimukti produces the lowest GHG emission of 676.9651 KgCO2eq/month. Based on the results of statistical tests, the factors that influence the high GHG emissions from household activities are the type of house, the amount of income of the family head, and electricity power.
Robust Linear Discriminant Analysis with Modified One-Step M-Estimator Qn Scale for Classifying Financial Distress in Banks: Case Study Nabila Putri; Parmikanti, Kankan; Gusriani, Nurul
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss02/515

Abstract

The COVID-19 pandemic has significantly disrupted the banking sector, leading to a decline in profit growth as an indicator of financial distress. Bank financial health can be evaluated using the RGEC (Risk Profile, Good Corporate Governance, Earnings, Capital) analysis. While Linear Discriminant Analysis (LDA) ideally requires normality and homogeneity of covariance matrices, financial data often fail to meet these assumptions. Therefore, this study employs robust linear discriminant analysis using the Modified One-Step M-Estimator with Qn scale estimator (MOM-Qn) to classify ‘distress’ and ‘non-distress’ bank conditions. Given these challenges, this study acts as a preventive measure for banks to evaluate financial health simultaneously. The objective is to provide a robust discriminant function for more accurate and stable classification, particularly in the presence of outliers. It focuses on conventional private banks listed on the Indonesia Stock Exchange (IDX) during December 2021-2022. The results show a classification accuracy of 69.23% and a Press’s Q value of 11.53846, indicating the method’s effectiveness in classifying real financial data.  
Preventive Effect of Exercise on Kidney Fibrotic Pathway in Hypertension Afifah, Farabillah; Dewi Irawati Soeria Santoso
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 03 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss03/532

Abstract

Uncontrolled hypertension can progress to kidney damage characterized by structural and functional changes, ultimately contributing to kidney fibrosis. Although, hypertension can be treated. However, the prevalence of hypertension in Indonesia is increasing. Therefore, proper treatment is necessary. Elevated levels of Transforming Growth Factor-β1 and Connective Tissue Growth Factor are critical factors that are key drivers of fibrogenic pathway. Appropriate exercise can control blood pressure, renal function, and prevent kidney fibrosis due to hypertension by activating the nitric oxide signaling pathway and reducing the regulation of the TGF-β, p-Smad2/3 and CTGF. This study aims to determine the optimal type of exercise to prevent kidney fibrosis caused by hypertension. Articles used are limited to the publication year between 2018 and 2024. We analyzed the role of exercise on kidney fibrotic pathway in hypertension using PRISMA methods from PubMed, ScienceDirect, Scopus, and Google Scholar. We found 7 articles and proved several significant effects of exercise on hypertension subjects. This study summarized that moderate-intensity exercise is more influential in controlling blood pressure and renal function, as well as inhibits kidney fibrosis due to hypertension.
The Effect of Probiotic Supplementation in Cholestasis Liver Disease: A Systematic Review of Animal Studies Azizah, Nur; Oswari, Hanifah; Sjatha, Fithriyah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 03 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss03/533

Abstract

Gut microbiome is essential in maintaining metabolism, gut barrier homeostasis, inflammation, and hematopoiesis. Several factors affect gut microbiome composition, including genetics, lifestyle, external factors, and disease. Cholestasis liver disease promotes gut dysbiosis via abnormal bile production or flow to the intestine and disrupts the gut microbiome. This condition leads to intestinal leakage, which enables bacterial and endotoxin translocation to the liver through the portal vein. Bacterial translocation promotes inflammatory responses, which worsen liver damage in cholestasis. Moreover, probiotic supplementation in other diseases has been shown to preserve gut microbiome composition. While such studies have documented probiotics' beneficial effects, no adequate clinical trials support probiotics' potency as a cholestasis treatment. Hence, this systematic review aims to provide an in-depth analysis of probiotic supplementation as a therapy for cholestasis liver disease in animal models. The search strategies were conducted based on PRISMA methodologies based on various academic literature. The selected studies have shown improvements in bile acid metabolism, microbiota-gut-liver axis, gut epithelium integrity, liver damage and inflammation response, and liver fibrosis progression, which need to be confirmed in human clinical trials.
Mobile Genetic Elements Contributing to Carbapenem Resistance in Acinetobacter baumannii: Current Insights Mardhiyah, Azzahrah Khairunnisa; Saharman, Yulia Rosa; Sjatha, Fithriyah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/534

Abstract

Acinetobacter baumannii has become a major cause of hospital-acquired infections with the rapid development of resistance to multiple antibiotics, including critical carbapenems. This resistance challenge limits treatment options and increases morbidity and mortality. The genetic plasticity of A. baumannii facilitates the mobilization of resistance genes via mobile genetic elements (MGE). Addressing this crisis requires a deeper understanding of the mechanisms by which MGE propagates carbapenem resistance. This paper provides a solution by systematically reviewing recent research on the role of MGE in disseminating resistance genes. Following PRISMA guidelines, a comprehensive literature review was conducted across various databases. The review revealed that resistance mechanisms primarily involve carbapenem-hydrolyzing enzymes and MGE, such as integrons, transposons, insertion sequences, and plasmids. Notably, genes like blaOXA-23 and blaNDM are frequently mobilized by these elements, facilitating horizontal gene transfer and persistence. Understanding the mechanisms of MGE-mediated gene transfer is crucial for developing strategies to control the spread of antibiotic resistance in A. baumannii.
Molecular Pathogenesis of Human Rhinovirus (HRV) Infection Murti, Anissa Wari; Andi Yasmon
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/540

Abstract

Human Rhinovirus (HRV) is a RNA virus belonging to the Picornaviriade family that most often causes acute respiratory infections (ARI). This virus can cause dangerous infections in children, people with chronic respiratory disorders, and individuals with low immunity. This virus can infect newborns six to eight  times and adults two to four times per year. In addition, HRV is the main cause of pneumonia and bronchiolitis which can worsen the symptoms of cystic fibrosis asthma. This article also discusses the development of the HRV replication process that occurs in the respiratory tract epithelium which takes place in several stages, starting with virus attachment and ending with the release of new virions. We also analyze the stages of neutralizing antibodies (nAbs) to prevent HRV infection. Currently, there are not any authorized antiviral drugs or HRV vaccination because this virus has highly variable antigenic sites. To develop a vaccine that can protect against various HRV serotypes, a consensus sequence that combines several strains is needed.
Synthesis of Kaolinite Nanotubes as Heterogeneous Catalysts for Transesterification Reaction of Waste Cooking Oil into Biodiesel Muhammad Rizki; Fitri, Ernarisa; Syukri Arief; Rahadian Zainul; Syukri
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/545

Abstract

Kaolinite, a naturally abundant clay mineral, possesses a significant surface area and catalytic properties. To enhance its catalytic efficiency, modification into kaolinite nanotubes is necessary, as this transformation increases surface area and porosity. The synthesis of kaolinite nanotubes was achieved through a solvothermal method, incorporating multiple intercalation and rolling processes influenced by ultrasonic waves, subsequently utilizing these nanotubes as heterogeneous catalysts. The resulting kaolinite nanotube catalysts exhibited well-defined nanotube morphology and were applied in the transesterification of waste cooking oil, with variations in methanol-to-oil ratios. The optimal biodiesel yield achieved was 49.84%, obtained after a 3-hour reaction period using a 3% w catalyst at 60 °C, with a methanol-oil ratio of 3:1. This research highlights the potential of kaolinite nanotubes as effective catalysts in biodiesel production.
Clustering Provinces in Indonesia Based on The Main Food Crop Production Using The Spatial Fuzzy C-Means Yozza, Hazmira; Aldi Mukhlis; Maiyastri
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/385

Abstract

Agriculture plays a strategic role in achieving food security in Indonesia. However, the production of major food crops in Indonesia shows uneven distribution, which may affect efforts to achieve food self-sufficiency. This study aims to cluster 34 provinces in Indonesia based on the total production of seven major food crops (rice, corn, soybean, mung bean, peanut, cassava, and sweet potato) using the Spatial Fuzzy C-Means (sFCM) method. Cluster validation using Modified Partition Coefficient (MPC) and Partition Entropy (PE) shows that the clustering results have high membership clarity and low entropy, making them relevant for spatial data analysis. The findings highlight the unequal distribution of food crop production and provide policy recommendations, where the first cluster can be optimized as a national food production hub, while the second cluster requires interventions based on infrastructure, technology, and redistribution policies.  This research makes an important contribution in providing a data-driven scientific basis for food production equity planning. The sFCM method used demonstrates effective capabilities in analyzing data with spatial elements, supporting more inclusive policies for the improvement of national food security and the achievement of sustainable development goals in Indonesia. 
Anatomy of Cleome rutidosperma DC. (Cleomaceae) Ovary Development in Mataram City Lestari, Zuhara Dwi; Aeni, Quratul Puspa; Safitri, Zalianty Dwinur; Gunawan, Satria; Pratami, Windi; Nur Shopya Affifaturrahmah; Miranti, Suci; Mulyaningsih, Tri
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 01 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss01/536

Abstract

Cleome rutidosperma is one of the species that belong to famili Cleomaceae and ordo Brassicales.  The purpose of this research is to observe the ovary development of C. rutidosperma and analyse the differences in each growth phase. C. rutidosperma is belong to Brassicales order. Ordo Brassicales is well known for having cleistogamy type of flowers. This research is going to prove C. rutidosperma belongs to cleistogamy or chasmogamy pollination type. However, the best solution is to research until a new study is obtained that discusses the development of C. rutidosperma ovaries and C. rutidosperma flower type. The results of this study can also open new insights and open further research. The results shows in first phase the ovaries were already in the early developmental stage such as protrusions. This development continues to complete and expand its structure. Some of these include the growth of the funiculus which continues to change until it reaches a phase where the funiculus already appears to fully support the ovule. In the last two phases, it can also be seen that structures such as the inner integument and integument begin to appear. The development has greatly increased from the previous phase.
Identification of Potential Biomarkers for Hypertensive Nephropathy by Bioinformatics Analysis Fajarido, Ariski; Fadilah, Fadilah; Wawaimuli Arozal
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/537

Abstract

Hypertensive nephropathy (HN) is a common complication of chronic hypertension that leads to kidney damage. This study aimed to identify potential biomarkers and key pathways associated with HN using bioinformatics tools. Gene data related to HN were retrieved from GeneCards and the Comparative Toxicogenomics Database (CTD), resulting in 89 genes from GeneCards and 10,898 genes from CTD. A Venn diagram revealed 58 overlapping genes, which were then analyzed using Protein-Protein Interaction (PPI) networks and the CytoHubba plugin in Cytoscape. The Maximal Clique Centrality (MCC) algorithm identified 10 hub genes, including ACE, AGT, ACE2, AGTR1, and AGTR2, integral to the renin- angiotensin-aldosterone system (RAAS). Functional enrichment analysis using Gene Ontology (GO) and KEGG pathways revealed that the most significant biological process was regulating systemic arterial blood pressure by the Renin-Angiotensin system, with the renin-angiotensin system pathway being the most highly enriched. Further visualization using ShinyGo highlighted the involvement of key genes in the RAAS pathway. These findings provide valuable insights into the molecular mechanisms underlying HN and suggest that bioinformatics approaches can aid in the identification of specific biomarkers for early diagnosis, non-invasive monitoring, and targeted treatments for HN in the future.

Page 26 of 31 | Total Record : 310

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