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Hanif Amrulloh
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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 25 Documents
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Search results for , issue "Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science" : 25 Documents clear
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.
Geostatistical Modeling using Ordinary Kriging for Estimating Nickel Resources in Sulawesi Indonesia Marwanza, Irfan; Putra, Danu; Azizi, Masagus Ahmad; Dahani, Wiwik; Gumay, Rhazes Eesha; Sahetapy, Silvia Immanuela
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.2774-3047.252

Abstract

Geostatistic is a statistical tool used in the mining sector to estimate and classify mining resources at a specific location. The purpose of this study was to evaluate the distribution or model of nickel resources, as well as estimate and classify nickel resources using a geostatistical approach. This study used data from exploration drilling at one of the nickel mining concessions in Sulawesi, Indonesia. The data set included 464 drill holes with an average distance of 50–100 m. The initial stage in this study was to develop a geological model, followed by descriptive statistical analysis, with the results of the variance coefficient ranging from 0.5 to 1.5 and normal distribution, indicating that the ordinary kriging method can be used and is considered adequate to produce sound and consistent findings. The values obtained from the variogram analysis on the spherical model will be used as parameters in the ordinary and efficiency kriging processes. Based on the estimation and classification of nickel resources using ordinary and efficiency kriging, the total measured, indicated, and inferred nickel resources are 39, 1.25, and 3 million tons, respectively, with an average Ni content of 1.16%.
Assessment of LINAC Source Radiation Dose around Healthy Organs Using Treatment Planning System Calculation Fardela, Ramacos; Candra, Ega Septryan; Milvita, Dian; Mardiansyah, Dedi; Ridwan, Ridwan; Diyona, Fiqi; Mousa, Almahdi
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.2774-3047.253

Abstract

The negative effects of increased radiation dose can impact healthy tissue surrounding the target area, necessitating careful management to minimize side effects and meticulous planning in radiation therapy. This study aims to determine the peripheral dose of a 6 MV photon beam and compare the measured values with the estimates from the Treatment Planning System (TPS). Dose calculations were performed using the Analytical Anisotropic Algorithm (AAA) in the ECLIPSETM TPS on a virtual water phantom with a 6 MV photon beam, delivered by a Clinac CX linear accelerator (LINAC) at Unand Hospital. Photons were used with variations in target depth of 1.5, 5, and 10 cm, as well as variations in measuring distances of 3, 5, 7, 10, and 15 cm outside the irradiation field. The area of irradiation used varied of 5×5 and 10×10 cm2. The measurement results based on the distance of the field edge showed that the dose percentage decreased below 10% when passing a distance of 5 cm for a field area of 5×5 cm2, and for a field area of 10×10 cm2, the dose percentage decreased below 10% after passing a distance of 7 cm from the edge of the irradiation field. The peripheral dose intensity in the area outside the target will decrease along with the increasing measurement distance from the edge of the field and the depth due to the interaction of radiation with the medium, which causes the spread and absorption of photons in the medium.
Enhancing Supercapacitor Cell Capacitance through Liquid-Phase Exfoliation Synthesis of Graphene Pratama, Buky Wahyu; Suhendar, Haris; Dwandaru, Wipsar Sunu Brams; Santoso, Iman
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.2774-3047.254

Abstract

Our study investigates the remarkable capacitance performance of a supercapacitor cell featuring electrodes synthesized through the liquid-phase exfoliation (LPE) method using environmentally friendly linear alkylbenzene sulfonate (LAS) surfactant. We explored different synthesis temperatures (15, 30, and 90 °C) to evaluate their impact on reducing sonication time. The electrodes, created by drop-casting graphene onto a silver plate substrate and heated at 50 °C, demonstrated exceptional cyclic voltammetry (CV) and charging-discharging (CD) results. Notably, the graphene synthesized at 90 °C exhibited a maximum capacitance of 59 F/g at a 13 mV/s scan rate in a 1.3 M KOH electrolyte gel, leading to superior energy density as shown in the Ragone plot. Our findings highlight the crucial role of increased synthesis temperature in LPE, enhancing supercapacitor cells through the expansion of sp2-ordered grain size, evident in the Raman shift data's ID/IG increase.
Optimization of Star Pomfret Feed Production as a Linear Programming Problem Using a Hybrid Wolfe-Differential Evolution Algorithm Febrianti, Werry; Putra, Gusrian; Syari, Chalida; Abdallah, M Naif
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.2774-3047.255

Abstract

Star pomfret (Trachinotus blochii) is one of the most sought-after types of marine fish in Indonesia. The production of feed for star pomfret fish is an important factor because it is related to their survival and ability to grow well.  Therefore, formulating the feed formulation for star pomfret (Trachinotus blochii) is very important to minimize feed production costs and ensure the nutritional adequacy of the fish. Therefore, we change the feed for star pomfret fish as a linear programming (LP) problem and solve it using the Hybrid Differential Evolution-Wolfe Algorithm (HWDEA).  HWDEA combines the Wolfe method, which efficiently transforms constraints into a system of linear equations, with the use of the Differential Evolution Algorithm (DEA) to find a global optimization solution, which is a solution that is not trapped in a local minimum.  We improve accuracy and efficiency by using HWDEA to find the optimal solution for this fish feed production. Our HWDEA can also overcome the limitations of traditional methods such as the simplex algorithm.  Thus, we can show that HWDEA successfully reduced feed production costs from 12,353 IDR to 9,035 IDR per kg while maintaining nutritional balance.  We can conclude that the HWDEA method successfully adapted to price fluctuations and raw material availability, allowing it to produce an optimal raw material composition in feed production.  Therefore, HWDEA can be used as an efficient tool to provide significant cost savings for supporting sustainable and profitable fish farming.
Exploring the Antimicrobial and Antioxidant Properties of Silybum marianum Tissue-cultured Phenolic Extracts Al-Hamdany, Islam Yasir Abdullah; Mohammed, Muthanna Jasim; Al-Taei, Shifaa Mahdi Salih
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.2774-3047.256

Abstract

This study contributes to understand the medicinal properties of Silybum marianum L., commonly known as milk thistle. The result demonstrates the plant's antioxidant and antibacterial activities have the potential to significantly impact the fields of botany, pharmacology, and medicine. The study was initiated by culturing different parts (root, stem, cotyledonary leaves, and leaves) on a Murashige and Skoog (MS) medium supplemented with benzyl adenine (BA) and naphthalene acetic acid (NAA) for callus induction. One of the key findings of this study is the effectiveness of the 0.5 mg L-1 BA and 2.0 mg L-1 NAA combination for callus initiation. As revealed by the results, this combination was the most effective among the various combinations tested. The study involved extracting the explants: the leaf, cotyledon, stem, root, callus of the leaf, and cotyledon of S. marianum L. The extraction process used a hexane solvent to remove fat. An ethanol solvent for phenolics separation after hexane was applied to the same sample. The high-performance liquid chromatography (HPLC) results showed that all the explants contain various phenolic compounds. The antibacterial activity has also been identified at 200 µg/mL concentrations against four pathogenic bacterial strains: Salmonella typhi, Pseudomonas aeruginosa, Escherichia coli, and Staphylococcus aureus by using the agar dilution method. The results showed significant cotyledonary leaf callus extract showed antibacterial activity, notably against E. coli, with a zone of inhibition measuring 31 mm. These extracts were also used as antioxidants. The root extract has antioxidant activity with a percentage of 79.0%. These extracts and their compounds could be used as a natural antioxidant and antibacterial source. As we unravel the full potential of plant tissue culture and the conventional antibiotics and antioxidants become less effective and the side effects of synthetic compounds rise, exploring plant-based solutions like those from the tissue culture of S. marianum could provide valuable and eco-friendly alternatives, and contribute to developing novel therapeutic agents from natural sources.
The Effect of MgO Loads on Catalytic Activity of MgO/SiO2 in Coconut Oil Transesterification Pandiangan, Kamisah Delilawati; Simanjuntak, Wasinton; Ilim, Ilim; Alista, Diska Indah; Noviana, Erika
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.2774-3047.257

Abstract

This research aims to obtain biodiesel by transesterification of coconut oil with MgO/SiO2 as a catalyst, with the objective to examine the effect of MgO loads on the performance of the catalysts expressed in terms of oil conversion. The MgO/SiO2 composites with different mass ratios of 1:1, 1:2, 1:3, 1:5, and 1:10 were synthesized from Mg(NO3)·6H2O and SiO2 extracted from rice husk silica using sol-gel method and followed by calcination at 800 °C for 6 h. The produced catalysts were then tested in the transesterification of coconut oil to investigate the effect of catalyst composition, oil to methanol ratios, and reaction times. The experiments were carried out using a fixed catalyst load of 10% oil (w/v) and at 70 °C. The catalyst with the highest performance was then characterized by using X-ray diffraction (XRD) and scanning electron microscopy (SEM) to confirm the formation of crystalline MgO/SiO2. The highest conversion of the transesterification product was analyzed using gas chromatography-mass spectrometry (GC-MS) technique to confirm the biodiesel production. The XRD diffractogram of the synthesized sample is characterized by the presence of sharp peaks confirming the existence of the sample as crystalline material attributed to the pyroxene-ideal (MgO3Si) phase. The existence of the sample as crystalline material is also supported by the absence of a broad diffraction peak attributed to amorphous rice husk silica, and SEM image of the sample which is characterized by the visible existence of crystalline structure in the forms of platelet prismatic, and tetrahedral shaped structures. The results demonstrated that the highest conversion (98%) was achieved with the use of MgO/SiO2 (1:5) as a catalyst, a ratio of oil to methanol of 1:6, and a reaction time of 4 h. The formation of methyl esters was confirmed by the results of GC-MS analysis.
Investigation of New 4-Benzyloxy-2-trichloromethylquinazoline Derivatives as Plasmodium falciparum Dihydrofolate Reductase-thymidylate Synthase Inhibitors: QSAR, ADME, Drug-likeness, Toxicity, Molecular Docking and Molecular Dynamics Simulation Yogaswara, Radite; Pranowo, Harno Dwi; Prasetyo, Niko; Pulung, Maria Ludya
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.2774-3047.258

Abstract

Plasmonium falciparum dihydrofolate reductase-thymidylate synthase (PfDHFR-TS) is one of the most crucial antimalarial targets. Mutations in the binding pocket of this target lead to resistance to the antifolate. The mutations influence the amino acid residues at points 51, 59, 108 and 164 and contribute significantly to malaria not being treated well. Priority should therefore be given to the development of antifolate-resistance drugs. These studies aim to investigate new 4-benzyloxy-2-trichloromethylquinazoline derivatives as PfDHFR-TS inhibitors using QSAR, ADME, drug-likeness, toxicity, molecular docking studies, and molecular dynamics simulations. The best equation model from the QSAR analysis used MLR and PLS statistics to show that the pIC50 is linearly related to GATS4e, SpMax AEA(ed), and Mor28e, but inverted when compared to ATS6m and ATSC7m. The predictive ability of the model was confirmed by internal and external validation. In addition, the Y-randomization validation showed that the QSAR model was reliable, robust, and stable, with a cRp2 score of over 0.5. ADME and drug-likeness predictions confirmed the new QSAR design for molecules S10, S23 and S64. Based on the toxicity results, three molecules are expected to have moderate and non-toxic properties, starting with S23 and then S10 and S64. Molecular docking studies show that all three molecules have high binding energies, 9.869, 9.589, and 9.565 kcal/mol. The amino acid residues Leu46, Asp54, Ser111, and Thr185 play a major role in ligand-receptor interaction in the binding pocket of quadruple mutant PfDHFR-TS. Furthermore, an evaluation of molecular dynamics simulations of three complexes S10-3JSU, S23-3JSU and S64-3JSU demonstrated stable interactions over 100 ns.
Antiplasmodial and Metabolite Profiling of Hyrtios sp. Sponge Extract from Southeast Sulawesi Marine Using LC-HRMS, Molecular Docking, Pharmacokinetic, Drug-likeness, Toxicity, and Molecular Dynamics Simulation Pulung, Maria Ludya; Swasono, Respati Tri; Sholikhah, Eti Nurwening; Yogaswara, Radite; Primahana, Gian; Raharjo, Tri Joko
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.2774-3047.259

Abstract

Hyrtios sponge is known to possess alkaloid compounds that may exhibit in vitro activity against Plasmodium falciparum. The aim of this study was therefore to isolate and characterise the antiplasmodial active compounds of Hyrtios sp. Sponges collected from the island of Podang-Podang, South Sulawesi, Indonesia. In addition, the LC-HRMS analysis was performed on the active fractions of methanol and ethyl acetate extract to evaluate their antiplasmodial activity. We also validated the in silico antiplasmodial activity of PfDHFR-TS with molecular docking, pharmacokinetics, drug likeness, toxicity, and molecular dynamics analysis. The molecular docking studies showed that the synthesized extremes would have high binding affinity to PfDHFR-TS, thus confirming their potential as powerful enzyme inhibitors. Moreover, the pharmacokinetic and drug-likeness calculations showed that all compounds met the requirements for sufficient resistance and bioavailability, indicating potential as therapeutic candidates. The results of the toxicity analysis indicated that the compounds had a relatively good safety profile, but some potential adverse reactions in the renal and cardiac vasculature could not be excluded. Molecular dynamics simulations confirmed that the complexes formed between the ligand and the target were stable, and the low RMSD value indicated that the active site interactions were also quite stable. These observations reinforce the notion that the extract from Hyrtios sp. not only shows remarkable antimalarial activity but also exhibits pharmacological properties of a prospective drug candidate, which encourages further work in the development of malaria combination therapy both in clinical assessment and comprehensive mechanism of action investigation.

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