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INDONESIA
EKSAKTA: Journal of Sciences and Data Analysis
Published by Universitas Islam Indonesia
ISSN : 27160459     EISSN : 27209326     DOI : 10.20885
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Materials Science & Nanotechnology
Ekstakta is an interdisciplinary journal with the scope of mathematics and natural sciences that is published by Fakultas MIPA Universitas Islam Indonesia. All submitted papers should describe original, innovatory research, and modelling research indicating their basic idea for potential applications. The Journal particularly welcomes submissions that focus on the progress in the field of mathematics, statistics, chemistry, physics, biology and pharmaceutical sciences.
Arjuna Subject : Kimia(semua kategori) - Kimia (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "VOLUME 6, ISSUE 1, April 2025" : 5 Documents clear
Exploring the Potential of Hemigraphis alternata Leaves: Docking and Molecular Dynamics Analysis Targeting Cyclooxygenase-2 (COX-2) Yeni, Yeni; Mochamad Dicky Yanuar Mamba'ul Rohman; Supandi Supandi
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 1, April 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss1.art1

Abstract

Cyclooxygenase-2 (COX-2) mediates various physiological responses, including inflammation. In traditional medicine, the leaves of Hemigraphis alternata are commonly used to treat inflammation. The leaves have yielded 22 secondary metabolites that have been isolated. The computational analysis was conducted to identify the compounds with the greatest affinity for COX-2. The molecular docking procedure using DOCK 6.9 and molecular dynamics simulations using GROMACS 5.1.2 were used to screen test compounds. DOCK 6.9 assessed grid scores and ligand-receptor interactions, whereas GROMACS 5.1.2 examined the interactions, Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), Molecular Mechanics-Poisson Boltzmann Surface Area (MM-PBSA), hydrogen bonds, and radius of gyration. The validation of the docking method resulted in an RMSD value of less than 2 Å, indicating that the docking protocols are suitable for screening potential ligands. Phytol exhibited the most attraction compared to the test and reference substances (diclofenac sodium), with a grid score of -32.85 kcal/mol. The MM-PBSA analysis revealed that phytol exhibited a greater affinity than the reference, as evidenced by binding free energy of -36.259 kcal/mol. These data suggest that phytol has the potential to be investigated as a possible source for the generation of COX-2 inhibitors.
Determination of Total Flavonoid Content and Characterization of Nanoparticles of Kecombrang Leaf Extract (Etlingera elatior (Jack) R.M.Sm.) Hayati, Farida; Sofi Nurmay Stiani; Renditya Ismiyati
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 1, April 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss1.art4

Abstract

Kecombrang (Etlingera elatior (Jack) R.M.Sm.) is one of Indonesia's potential plants that contain such bioactive compounds as polyphenols, alkaloids, flavonoids, steroids, saponins, and essential oils. This study aims to determine the total flavonoid content of kecombrang leaf extract. It also defines the characteristics of the nanoparticles of kecombrang leaf extract. Kecombrang leaves were extracted through maceration. The determination of the total flavonoid content by spectrophotometry used quercetin as a comparison. The synthesis of nanoparticles used ionic gelation with 0.1% sodium alginate and 0.01% calcium chloride crosslinkers. The characteristic parameters of the nanoparticles of kecombrang leaf extract included the visual, transmittance, adsorption efficiency, particle size distribution, polydispersity index, and zeta potential. The yield value was 46.55%. The total flavonoid content was 88.11 mgQE/g with a regression standard curve Y = 0.1022x + 0.0745 and correlation coefficient (r) = 0.9922. The nanoparticle solution provided a clear visual with a particle size and PI of 108.2 nm and 0.311, a transmittance and adsorption efficiency of 94.76% and 93.76%, and a zeta potential of -36 mV. The total flavonoid content was 88.11 mgQE/g. The nanoparticle solution of kecombrang leaf extract has the characteristics that qualify as a nanoparticle preparation.
Efficiency of Tannin Reduction in Stevia Extract by Coagulation with Lime and Adsorption with ion Exchange Resin Polban, Riniati; Sudrajat Harris Abdulloh; Endang Widiastuti; Ari Marlina
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 1, April 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss1.art2

Abstract

Stevia, a plant commonly used as a natural sweetener, has the potential to be used as a sugar substitute because the stevioside content provides high sweetness and has a low caloric value. On the other hand, stevia contains tannins that can give it a bitter taste. To reduce the tannin content in stevia extract, tannin is coagulated with calcium metal ions from lime and then passed into a ion exchange resin column. The purpose of this study was to determine the effect of lime concentration on the reduction of tannin levels and the efficiency of resin columns in reducing tannin levels. However, it is expected that the extract still has a high level of sweetness. Extraction was carried out on dried stevia leaves using water solvent in a ratio of 1:30 (w/v). After coagulation with lime, the extract was filtered and then passed to the resin column to bind the remaining calcium ions. The concentration of lime was varied: 0,5; 1; 1,5; 2; 2,5; 3; 4; 5; 6 %. The tannin content in the extract, before and after the process was tested by spectrophotometric method using Folin Ciocalteu reagent. The sweetness level of the extract was tested by measuring the % brix value using a brix refractometer. The results showed that the high efficiency of significant tannin content reduction was 99.98% with a minimum sweetness level reduction of 47.1% at 2% (w/v) lime addition.
Tour Recommendation System Based On User Interest and Surrounding Facilities in North Sumatera Using Simple Multi-Attribute Rating Technique With Dijkstra's Algorithm Muthoharoh, Luluk; Ahmad Luky Ramdani; Ira Safitri; Muhammad Dhoni Apriyadi
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 1, April 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss1.art3

Abstract

In this study, we collected data on tourist attractions, tourist attractions utilities, on the island of Sumatra, especially in Toba and Samosir districts in North Sumatra Province. In this process, information was collected on 100 tourist destinations with the highest popularity based on Google Maps Review. To determine the interest of tourists, the SMART method is used to obtain the value of tourist interest in each tourist spot based on the weight determined on each criterion. Meanwhile, entropy is used to determine the value of facilities available at tourist attractions. The value represents the interest of tourists and the facilities available around the tourist attractions. The results of this research show that in the aspect of running time Dijkstra's algorithm is fast algorithms
Temporal and Spatial Analysis of Vegetation and Non-Vegetation Using Landsat 8 Imagery with a Support Vector Machine Approach Syifa Fauziyah; Fauzan, Achmad
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 1, April 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss1.art5

Abstract

Kertajati International Airport is one of the newest airports located in Majalengka regency, West Java province. The establishment of this airport has sparked interest as a case study, particularly regarding land-use changes around the Kertajati area and, more broadly, in Majalengka Regency. This study aims to measure the extent of changes in vegetated and non-vegetated land around Kertajati International Airport, Majalengka Regency, West Java Province. The methodology employed involves the Support Vector Machine (SVM) classification method. Various kernels, including (1) linear, (2) polynomial, (3) radial basis function (RBF), and (4) sigmoid, were simulated in the analysis. The data used in this study comprise Landsat 8 satellite imagery obtained from Google Earth Engine, utilizing bands such as red, green, blue, near-infrared (NIR), and shortwave infrared (SWIR) for the years 2013 and 2023. The dataset was split using the hold-out method into four scenarios, with varying training and testing data proportions: 75%-25%, 80%-20%, 85%-15%, and 90%-10%. Each scenario was repeated 40 times to ensure robust results. The best results were achieved using the SVM model with an RBF kernel at a data split ratio of 75%-25%, as indicated by the highest accuracy scores. Consistent with the accuracy, the evaluation metrics also fell into a high-performance category. Land area predictions for the vicinity of Kertajati International Airport were analyzed based on the optimal data split proportion. The results of this study reveal a significant reduction in vegetated land from 2013 to 2023, accompanied by a notable increase in non-vegetated land over the same period.

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