Eksakta : Berkala Ilmiah Bidang MIPA
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
Articles
310 Documents
<![CDATA[Factors Affecting the Number of Infant Morality Cases in West Java for the 2019-2020 Period using Generalized Poisson Regression (GPR) ]]>
<![CDATA[Kartika Dewi]]>;
<![CDATA[Nurul Gusriani]]>;
<![CDATA[Kankan Parmikanti]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/363
<![CDATA[The number of infant mortality cases is data in the form of counts which is modeled by Poisson regression. There is an assumption that needs to be met, namely equidispersion. Equidispersion is a condition in which the mean and variance of the variables are the same, but in practice this assumption is often not met. There are two possible events, namely overdispersion and underdispersion. The Generalized Poisson Regression (GPR) model is one solution to solve this problem. In estimating the GPR parameter, the Maximum Likelihood Estimation (MLE) method is used, but the derivation of the log-likelihood function does not always produce explicit results, so the Newton-Raphson iteration method is used. Poisson regression analysis conducted on the number of infant mortality cases in West Java showed that the model had overdispersion as seen from the value of the dispersion parameter which was more than zero, so the GPR model was used. Parameter significance test was carried out on three factors, namely the poverty gap index , the percentage of low birth weight infants , and the percentage of exclusive breastfeeding for infants the results obtained that all factors affected the number of infant mortality cases in West Java.]]>
<![CDATA[Application of Threshold Generalized Autoregressive Conditional Heteroscedastic (TGARCH) Model in Forecasting the LQ45 Stock Price Return ]]>
<![CDATA[Jaka Nazarudin]]>;
<![CDATA[Nurul Gusriani]]>;
<![CDATA[Kankan Parmikanti]]>;
<![CDATA[Sussy Susanti]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/369
<![CDATA[Economics is one of the most important fields for a country. One of the activities that illustrate the importance of the economy in a country is an investment. Investment activities, especially stock investment, are included in the capital market activities that various age groups currently carry out. Stocks are generally known to have high-risk, high-return characteristics. Therefore we need a way to minimize losses in investing. This study uses time series analysis theory to analyze LQ45 stock data.The data used is the closing price of PT. Bank Central Asia, Tbk. obtained from finance.Yahoo.com. The results of this study indicate that the return of daily closing price data of PT. Bank Central Asia, Tbk. during the period 2017-2021, there are heteroscedasticity and asymmetric shocks, so variations of the ARCH/GARCH model are needed to obtain accurate forecasting results. One suitable model is Threshold GARCH (TGARCH). The results of this study indicate that the suitable forecasting model for the data is the MA(3)-TGARCH(1,1) model. The model produces forecasts with an accuracy rate based on MAPE of 0.895% for the next seven days]]>
<![CDATA[Digestibility and Physicochemical Properties of Brown Rice and Black Glutinous Rice under a Combination of Heat-Moisture Treatments and Citric Acid ]]>
<![CDATA[Annisa Mawaddah]]>;
<![CDATA[Endang Saepudin]]>;
<![CDATA[Tuti Wukirsari]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/370
<![CDATA[Brown rice and black glutinous rice are rich in nutrients and fiber the body needs. The difference between brown and black glutinous rice lies in the starch content, namely amylose, and amylopectin, which can affect digestibility. Low digestibility rice can lower blood glucose levels, so it is needed for people with diabetes and obesity. This study modified brown rice and black glutinous rice with double modification HMT-crosslinking with citric acid and Crosslinking-HMT with various variations to determine the physicochemical properties and the lowest digestibility of brown rice and black glutinous rice. Multiple modifications can reduce digestibility, but a modification of HMT 25%-Crosslinking 20% showed the lowest digestibility in black glutinous rice. Differences in amylose and amylopectin levels in the sample can cause differences in the decrease in solubility and swelling power. The lowest solubility was found in brown rice with the HMT 25%-Crosslinking 20% variation, and the lowest swelling power in the brown rice sample with the HMT 25%-Crosslinking 20% variation. The formation of new covalent bonds after the crosslinking modification process can be identified by FTIR in the 1735 cm-1 regi]]>
<![CDATA[Nutraceutical Product Ice Cream from Dry Flower (Echinacea purpurea Lour) As an Immunomodulator in Pandemic Era: Ekino Ice ]]>
<![CDATA[Reza Putri Oktavia]]>;
<![CDATA[Novia Vivin Safitri]]>;
<![CDATA[Nurus Samsiyah]]>;
<![CDATA[Salsabila Tri Rahmi]]>;
<![CDATA[Devi Purnamasari]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/389
<![CDATA[Echinacea purpurea is a flower that is rich in its main antioxidant content comes from flavonoids, phenols, and cystic acids can be utilized as an immunomodulator during the Covid-19 pandemic. Ekinase flowers are processed into new innovations in nutraceutical products with the Ekino Ice product label. Goal to innovate nutraceutical products made from dry flower Echinacea purpurea as immunomodulators in the era of the Covid-19 pandemic. This research uses laboratory experimental methods with a qualitative approach. Microscopic test results are known that the sample has a plant characteristic of Echinacea purpurea. KLT test results using UV 366 light is positive flavonoid blue color Rf 0.5 nm with ammonia stain appearance, positive phenol stain blue-black color Rf 0.75 nm with FeCl3 stain appearance, positive cystic acid stain blue color Rf 0.75 nm. Brown organoleptic test results, characteristic smell of Echinacea purpurea, and taste sweet. pH test result 6.42 and melting time test result 16.22 minutes. Ekino Ice has the potential to be a new innovation nutraceutical product as immunomodulators in the era of the Covid-19 pandemic.]]>
<![CDATA[Molecular Simulation for Screening Bioactive Compounds as Potential Candidate for Alzheimer’s Disease ]]>
<![CDATA[Immanuelle Kezia]]>;
<![CDATA[Linda Erlina]]>;
<![CDATA[Ninik Mudjihartini]]>;
<![CDATA[Fadilah Fadilah]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/401
<![CDATA[Alzheimer’s disease is one of the neurodegenerative diseases that afflict the elderly. One of the symptoms is a loss cognitive ability due to neuronal death caused by amyloid plaque accumulation. Alzheimer’s disease is one of the most expensive diseases to treat. Drugs for Alzheimer’s treatment only treat the symptoms, not the disease itself. Several pathways, including the mitochondrial cascade, can be used to develop drugs for Alzheimer’s disease, according to NIH guidelines. Caspase3 is a protein that involved in the mitochondrial cascade, specifically in apoptosis. Alzheimer’s therapy may be more effective if caspase3 is targeted. Indonesia is a rich country, particularly in medicinal plants. We used the Structure-Based Drug Design approaches to screen bioactive compounds in Indonesian medicinal plant to find the best compound candidate. In addition, we performed ADMETOX prediction, molecular docking, and molecular dynamic simulation on forty 3D structures of bioactive compounds and donepezil as an FDA approved Alzheimer’s drug. We discovered Miraxanthin-V had a higher binding affinity than donepezil using molecular simulation. As a result, we can conclude that Miraxanthin-V has a high potential of neuroprotective by inhibiting apoptosis.]]>
<![CDATA[Ligand Based Pharmacophore Modelling, Virtual Screening, Molecular Docking, and ADMETOX of Natural Compounds as Antibiotic Candidates against Urinary Tract Infections (UTI) ]]>
<![CDATA[Windy Dwininda]]>;
<![CDATA[Linda Erlina]]>;
<![CDATA[Rafika Indah Paramita]]>;
<![CDATA[Fadillah Fadillah]]>;
<![CDATA[Surya Dwira]]>;
<![CDATA[Jaka Fajar Fatriansyah]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/404
<![CDATA[The use of antibiotic drugs requires close supervision that patients take antibiotics according to the rules. Irregular antibiotic use led to increased ADR cases (Antibiotic Drug-resistant). ADR is when an individual becomes resistant to an antibiotic drug that cannot kill bacteria. The high number of ADR cases prompted drug discovery to be implemented in analysis for Antibiotic candidates with good effectiveness through the Molecular Docking approach. The search for candidate test compounds as antibiotics were performed using the pharmacophore modelling method and molecular docking. And piperine, withaferin, has some of the same amino acids Ala101, Val103, Glu166, Trp165, and Leu102. Based on the prediction of the promising potential test ligand compound is Corosolic acid. In addition to assessing drug-likeness, pharmacokinetic and toxicity parameters, corosolic acid also has the lowest binding energy among other compounds. Through a textual bioinformatics approach, molecular docking simulations can be used as a first step in the search for new drug candidates in silico by considering various aspects, starting from the physicochemical properties of protein-ligand compounds and the environment. Analysis during the docking process to ADMETOX is an analysis to see the effectiveness and in silico compound safety. ]]>
<![CDATA[Potential of Colicin as an Antibacterial Agent in Escherichia coli ]]>
<![CDATA[Cynthia Gozali]]>;
<![CDATA[Andriansjah Rukmana]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol24-iss02/409
<![CDATA[The development of antibiotics calls for the critical consideration of instances of resistance. Infectious disorders brought on by resistant bacterial infections could affect the entire world. It is believed that the protein that the bacteria generate may one day replace antibiotics as an alternative antibacterial agent. Both Gram-positive and Gram-negative bacteria have the ability to manufacture bacteriocin. The bacteriocin type produced by Escherichia coli, notably colicin, has been demonstrated to inhibit the same bacteria through various essential methods. Colicin, a substance made by an E. coli cell, is also capable of protecting itself from attack; however, this defense mechanism has not yet been identified. The traits of colicin and the method by which it functions as a different antimicrobial agent to inhibit other bacteria will be covered in this article. We analyze the potential of colicin as an antibacterial agent in E. coli using PRISMA methods from diverse academic sources. Here, we found that the structure of the colicin, namely its central receptor domain, aids in the recognition of target cells. Promising results were found in recent studies on the antibacterial effects of the E. coli and colicin combination]]>
<![CDATA[Biosorption of Methylene Orange Dye using Langsat Shell by Batch Method ]]>
<![CDATA[Kurniawati, Desy]]>;
<![CDATA[Lestari, Intan]]>;
<![CDATA[Tarmizi, Fadhilah]]>;
<![CDATA[Pernadi, Niza Lian]]>;
<![CDATA[Iqbal, Anwar]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 03 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol23-iss03/419
<![CDATA[Liquid waste is a major problem in the textile industry environment that has the most widespread influence because physical and aquatic characteristics can have a negative impact on waters. Most of the liquid waste produced by batik comes from the dyeing process and environmental pollution. If it is disposed of directly into the environment without prior processing, the environment has a limited ability to degrade dyestuffs. One alternative method to remove the dye in water contaminated with methyl orange is biosorption using a cheap and easily available biosorbent, such as a langsat shell. This study used a batch method with variations in pH, solution concentration, particle size, stirring speed, and contact time. The results of each variation carried out obtained the optimum conditions for the absorption of Methyl Orange, namely at: pH 4, concentration 150 mg/L, and particle size 150 μm. The adsorption isotherm study was carried out, the Langmuir equation yielded a regression coefficient value that was close to one (R2 = 0.9964) so that it could be said to be better with a maximum absorption capacity of 3.1164 mg/g]]>
<![CDATA[Methanol Extract of Melastoma malabathricum Leaves as Eco-Friendly Corrosion Inhibitor for Mild Steel in Sulfuric Acid ]]>
<![CDATA[Gusti, Diah Riski]]>;
<![CDATA[Lestari, Intan]]>;
<![CDATA[Farid, Faizar]]>;
<![CDATA[Wahyudi, Abdi]]>;
<![CDATA[Azril]]>;
<![CDATA[Sukor, Mohd Zaki]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 03 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol23-iss03/386
<![CDATA[Methanol extract of Melastoma malabathricum (MEMML) contains secondary metabolites such as phenolics and flavonoids. These compounds have OH groups that can interact with Fe contained in steel and form a thin layer for corrosion inhibition on mild steel. Inhibition of mild steel corrosion using MEMML leaves in sulfuric acid solution was carried out using weight loss and potentiodynamic polarization methods. The results showed that the mild steel corrosion rate decreased and inhibition efficiency increased with the addition of MEMML. FTIR and SEM analysis showed the interaction between mild steel with MEMML forming a layer on the surface of the steel so that it inhibits corrosion. The inhibition efficiency has increased with the length of immersion time and concentration of MML methanol extract. The highest inhibition efficiency, 98.86%, was obtained at 72 hours of immersion time and 10 g / L MEMML.]]>
<![CDATA[Computational Calculation and Molecular Docking of Thymol and O-Benzoyl Thymol as Inhibitor TYK2 Enzyme ]]>
<![CDATA[Maahury, Mirella Fonda]]>;
<![CDATA[Baharudin, Muhammad Daswar A.]]>;
<![CDATA[Zainul, Rahadian]]>;
<![CDATA[Khalid, Ahmad Khudzairi]]>;
<![CDATA[Jakmola, Vikash]]>;
<![CDATA[Rebezov, Maksim]]>
<![CDATA[ EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 03 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) ]]>
Publisher : <![CDATA[Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia ]]>
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DOI: 10.24036/eksakta/vol23-iss03/405
<![CDATA[Thymol is the active ingredient in plants from Thymus vulgaris (thymus). The calculations and molecular docking have been done computationally for the thymol and o-benzoyl thymol. This computational calculation aims to obtain a stable structure and electronic properties of thymol and o-benzoyl thymol. The computational analysis used DFT for geometry optimization in the gas phase using B3LYP functional and 3-211G(d) as the basis set. The optimized structure of thymol and o-benzoyl thymol is not planar. The functional benzoyl decreases the bond length, increases the bond angle, and turns the dihedral. The electronic properties, such as atomic charge and density of HOMO-LUMO, show the difference between the two molecules. The optimized structure of thymol and o-benzoyl thymol is used for molecular docking with the TYK2 enzyme (tyrosine kinase). In this research, thymol and o-benzoyl thymol can inhibit TYK2 enzyme with the bond affinity is about -5.909 kcal/mol and -7.456 kcal/mol, respectively, for thymol o-benzoyl thymol. The primary molecular interaction is hydrophobic.]]>
