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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 231 Documents
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Application Of Logistic Regression In Analysis Of Factors That Affect Implementation Of Electronic Medical Record Agung Purwo Wicaksono; Kariyam Kariyam; Izzati Muhimmah
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 17, ISSUE 1, February 2017
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol17.iss1.art6

Abstract

Electronic Medical Record (EMR) has now become a trend in the world of health care. Lot of obstacles and barriers that interfere implementation of EMR. This paper discussed the eleven factors suspected to affect the implementation of EMR, with a case study hospital in Banyumas. By using logistic regression analysis obtained eight of the eleven factors that significantly affect the implementation of RME. The eight factors are financial factors, Human Resources (HR), the process of changing, psychological factors, legal factors, the time factor, organizational factors, and ICT trends. Technology, infrastructure, and social is a factor that does not significantly affect the implementation of EMR in hospital. ICT trends are new factors that significantly affect the implementation of EMR in hosital.
Estimation of Exponential Smoothing Parameter on Pesticide Characteristic Forecast using Ant Colony Optimization (ACO) Dinita Rahmalia
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 18, ISSUE 1, February 2018
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol18.iss1.art6

Abstract

Pest in agriculture can raise plant disease and fail to harvest. The pest problem in agriculture can be solved by using pesticide. Pesticide usage must be done proportionally. So, the manufacturer should fix standard pesticide active ingredient in pesticide production. Forecast is a prediction of some future evens. In forecast problem, there are any parameters which should be determined. Parameters can be estimated by exact method or heuristic method. Ant Colony Optimization (ACO) is inspired from the cooperative behavior of ant colonies, which can find the shortest path from their nest to a food source. In this research, we use heuristic method like ACO to estimate exponential smoothing parameter on pesticide active ingredient forecast and pesticide sample weight forecast. From the simulation, on the first iteration, all ants choose parameter randomly. At the optimization process, we update pheromone until all ants choose the similar parameter so that process converges and variance approaches to zero. The optimal exponential smoothing parameter can be applied in forecasting with minimum sum of squared error (SSE).
Completeness of Sequence Spaces Generated by an Orlicz Function Nur Khusnussaadah; S. Supama
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 19, ISSUE 1, February 2019
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol19.iss1.art1

Abstract

In this paper, we discuss about completeness property of Orlicz sequence spaces defined by an Orlicz function. Orlicz sequence space is generalization of p-summable sequence space, for every   which is also an Orlicz sequence space. Based on the property of convergence sequence on norm space, we define $\Phi$-convergence sequence on Orlicz sequence space. Moreover, we define $\Phi$-Cauchy sequence and $\Phi$-complete on Orlicz sequence space. In this paper, we show the relationship between the (ordinary) convergent sequence, $\Phi$-convergent and $\Phi$-Cauchy sequences. Finally, it will also be shown that Orlicz sequence space is Banach space and $\Phi$-complete space.
Pemanfaatan vitamin C dalam perekayasaan pakan untuk meningkatkan pertumbuhan dan kelulushidupan benih ikan kerapu macan (Epinephelus fuscoguttatus). Luky Mudiarti; Nurcahyo Kursistiyanto
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 19, ISSUE 2, August 2019
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol19.iss2.art7

Abstract

Upaya pengkajian pakan ikan kerapu terus dikembangkan. Ikan ini membutuhkan pakan dengan protein yang tinggi sehingga berdampak pada tingginya  biaya pakan dan buangan limbah bernitrogen pada lingkungan hidupnya. Salah satu upaya untuk mengurangi kebutuhan protein tersebut adalah dengan menambah kebutuhan lemaknya. Ikan akan memanfatkan lemak sebagai sumber energi. Penambahan vitamin C secara tidak langsung berperan dalam mekanisme transport asam amino dan asam lemak agar lebih efisien sehingga diharapkan dapat meningkatkan dan menghasilkan pertumbuhan dan kelulushidupan kerapu macan. Bahan yang  digunakan adalah benih kerapu macan  berumur 45 hari dengan berat awal 0,77 ± 0,07 gram. Penelitian eksperimental laboratorium ini menggunakan Rancangan Acak Lengkap dengan 4 ulangan pada tiap-tiap perlakuan. Perlakuan yang digunakan (A) uji pakan dengan penambahan vitamin C seberat 0 mg, (B): 75 mg (C) 150 mg dan (D): 225 mg/ kg pakan. Pemberian pakan dilakukan secara at satiation. Pakan yang  diberikan berupa pelet kering dengan kandungan protein 40% dan lemak 20%. Variabel penelitian yang digunakan yaitu  pertumbuhan, Laju pertumbuhan Spesifik, Rasio konversi pakan, Protein efisiensi ratio serta kelulushidupan ikan Data dianalisis dengan analisis varians dan polinomial ortogonal untuk mengetahui dosis optimal vitamin C dalam pakan. Untuk mengetahui perbedaan perlakuan diuji menggunakan uji F dengan program SPSS versi 17. Hasil penelitian menunjukkan bahwa tren pertumbuhan ikan kerapu yang diberi pakan buatan tersuplemen vitamin C memiliki efek signifikan p <0,01) pada semua variabel. Perlakuan terbaik diperoleh pada perlakuan C 150 mg/kg. 
Comparison on Isolation Technique of Vaninilin from Vanili Fruit (Vanilla planifolia Andrews Winarto Haryadi; Sri Handayani; Retno Arianingrum
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 11, ISSUE 2, August 2010
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

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

Abstract

Isolation of vanilin from vanili fruit by two method; maseration and Soxhlet using ethylacetate, ethanol and chloroform solvents has been investigated. Extraction result was hydrolized using sodium hydroxide by acidification using chloride acid. Filtrate was extracted by using chloroform and the targeted vanilin was separated by evaporation. Putrification was enganged by rechrystallization using aquadest-ethanol. Elucidation to the compound structure was performed by FTIR spectrophotometer, H-NMR, C-NMR, HMQC and HMBC. It is noted that vanilin isolation by soxhletazion procedure was more effective compared to maseration. Ethylacetate was more effective solvent than chloroform and conversely ethanol is inefective for the isolation.   Keywords: vanilin isolation, soxhlet isolation, maseration  
Kinetic study of Cr(VI) Adsorption on Hydrotalcite Mg/Al with Molar Ratio 2:1 Puji Kurniawati, Bayu Wiyantoko, Angga Kurniawan, Tri Esti Purbaningtias
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 13, ISSUE 1-2, August 2013
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol13.iss1-2.art2

Abstract

Chromium(VI) is one of the metals that is harmful to biota and humans if large amount present in environments. One method for reducing metal contamination of Cr(VI) inaqueous is by adsorption using Mg/Al hydrotalcite with molar ratio 2:1. This study is determined the effect of contact time and adsorption models of Cr(VI) adsorption on Mg/Al hydrotalcite with molar ratio 2:1. Capacity of Cr(VI) adsorption on Mg/Al hydrotalciteoccursat the optimum contact time of 180 minutes with 93.81% percent adsorption. Adsorption kinetics model equations are analyzed with first order, second order, pseudo first order, pseudo second order, Elovich equation, the equation Dumwald-Wagner and Weber-Morris equation. Analysis model of adsorption kinetics of Cr(VI) followed pseudo second order models are characterized by the highest coefficient of determination, which is 0.998.Keywords: adsorption, Mg/Al hydrotalcite, Cr(VI), adsorption kinetic models
Catalytic Synthesis of Diethanolamide Surfactant from Used Cooking Oil Maisari Utami; Karna Wijaya; Akhmad Syoufian; Satyagraha Hakim Wicaksono
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 2, August 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss2.art7

Abstract

The synthesis of diethanolamide surfactant from used cooking oil was systematically studied using modified zeolite as catalyst. The activated zeolite was obtained by dispersing natural zeolite in sulfuric acid (H2SO4) solution.  Potassium carbonate (K2CO3) was loaded into activated zeolite by wet impregnation method. The methyl ester obtained from transesterification reaction of used cooking oil was refluxed with diethanolamine (C4H11NO) solution over K2CO3/zeolite catalyst in the production of diethanolamide surfactant. The amidiation reaction over K2CO3/zeolite effectively produced 92% of diethanolamide surfactant with the highest selectivity of methyl oleate. Diethanolamide surfactant showed stable foam and emulsion with the reduction of surface tension as much as 3.3 dyne/cm.
Identification of TENORM in Zirconium Oxychloride with Gamma Spectrometry Kharistya Rozana; Devi Swasti Prabasiwi; Dewi Puspa Ariany
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 2, ISSUE 1, February 2021
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA/vol2.iss1.art8

Abstract

Abstract: Gamma spectrometer used to determine the type and activity of gamma emitting radionuclides, such as the measurement of TENORM (Th-232, U-238, Ra-26 dan K-40) in the zirconium oxychloride or environmental radioactivity.  This research was carried out to know each the TENORM on the zirconium oxychloride (ZrOCl2.8H2O) which accommodation of environment data the radioactivity in draft job safety about the workers.  Zirconium oxychloride is a result of chloride acid leaching process from sodium zirconate, containing uranium and thorium, so that it has the potential for contamination and increase the radiation exposure.  The instrument used for counting by HPGe detector and the spectrum were analyzed further using software Genie 2000.  Mean measured activity concentrations (radioactivity) of U-238, Th-232, Ra-226 and K-40 respectively were 13,43±0,876 Bq/kg, 12,040±1,483 Bq/kg, 11,400±0,582 Bq/kg dan 32,940±3,270 Bq/kg.
Hidden Markov Model for Sentiment Analysis using Viterbi Algorithm Nursyiva Irsalinda; Haswat Haswat; Sugiyarto Sugiyarto; Meita Fitrianawati
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 2, ISSUE 1, February 2021
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol2.iss1.art3

Abstract

Data mining is an activity to extract the knowledge from large amounts of data as very important information. The type of data in the era of 4.0 is data in the form of text, which is very much derived from social media. Recently, text becomes very important in some applications, such as the processing and the conclusion of a person's review and analysis of political opinion which is very sensitive in almost all countries, including Indonesia. Online text data that circulating on social media has several shortcomings that could potentially hinder the analysis process. One of the drawbacks is the people can post their own content freely, so the quality of their opinions cannot be guaranteed such as spam and irrelevant opinions. The other drawback is the basic truth of the online text data is not always available. Basic truth is more like a particular opinion, indicating whether the opinion is positive, negative and neutral. Therefore, the main objective of this study is to improve the forecasting accuracy of online text data analysis from social media. The method used os Hidden Markov Model (HMM) with Viterbi Algorithm that applied to extract the dataset sentiment at the 2015 elections in Surabaya from the popular site micro blogging called Twitter. The result of the study is Viterbi algorithm has predicted the best route with the candidate Tri Rismaharini gained a prediction of neutral sentiments, whereas ratio candidates gained sentiment negative predictions as well. The proposed Model is accurate to predict candidate features. It also helps political parties to introduce candidates based on reviews so that they can increase candidate performance or they can manage broad publicity to promote candidates.
Lie Symmetry and Lie Bracket in Solving Differential Equation Models of Functional Materials: A Survey Edi Kurniadi; Asep Supriatna
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 2, August 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss2.art10

Abstract

Functional materials are becoming an increasingly important part of our daily life, e.g. they used for sensing, actuation, computing, energy conversion. These materials often have  unique physical, chemical, and structural characteristic involving very complex phase.  Many mathematical model have been devised to study the complex behavior of functional materials. Some of the models have been proven powerful in predicting the behavior of new materials built upon the composites of existing materials. One of  mathematical methods used to model the behavior of the materials is the differential equation. Very often the resulting differential equations are very complicated so that most methods failed in obtaining the exact solutions of the problems. Fortunately, a relatively new approach via Lie symmetry gives a new hope in obtaining or at least understanding the behavior of the solutions, which is needed to understand the behavior of the materials being modeled. In this paper we present a survey on the use of Lie symmetry and related concepts (such as  Lie algebra, Lie group, etc) in modeling the behavior of functional materials and discuss some fundamental results of the Lie symmetry theory which often used in solving differential equations. The survey shows that the use of Lie symmetry and alike have been accepted in many field and gives an alternative approach in studying the complex behavior of functional materials.

Page 15 of 24 | Total Record : 231

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