cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Is Fatimah
Contact Email
eksakta@uii.ac.id
Phone
+6282326298724
Journal Mail Official
eksakta@uii.ac.id
Editorial Address
Faculty of Mathematics and Natural Sciences Universitas Islam Indonesia Jl. Kaliurang Km 14, Ngaglik, Sleman, Yogyakarta, 55584
Location
Kab. sleman,
Daerah istimewa yogyakarta
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 7 Documents
 1 
Search results for , issue "VOLUME 17, ISSUE 1, February 2017" : 7 Documents clear
Synthesis of Metal and Metal Oxide Nanoparticles Using Plant Extract: a Review Is Fatimah
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.art7

Abstract

Nanotechnology is an emerging technology and it is related to various applications. Related to nanotechnology development, the use of green chemistry concept, low cost technology and sustainability is a must. Synthesis of nanoparticles using plant extract is a developing technique within the scheme. In this paper, study on metal/metal oxide synthesis and its aspects is presented for describing the potency of natural resources for nanoparticle synthesis within green chemistry approach.
Utilization of Coal Bottom Ash a Low-Cost Adsorbent for the Removal Acid Red 114 Dye Kuntari Kuntari; Nurul Hidayat Aprilita; Suherman Suherman
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.art2

Abstract

A research about adsorption of acid red 114 using coal bottom ash has been conducted. This research was aimed to examine the ability of coal bottom ash in acid red 114 adsorption. Some adsorption parameters i.e. dosage adsorbent, contact time and pH medium were examined in the adsorption processes. The characterization of coal bottom ash was determined using X-Ray Diffraction. Acid red 114 concentration is measured by using UV-Visible spectrophotometer. The adsorption percentage of acid red 114 on the coal bottom ash is 91.2% at pH 1.5; contact time 80 min, acid red 114 concentration 10 mg/L for every 1.5 g bottom ash.
The Implementation Of Apriori Algorithm And Chi-Square Test In Determining Pattern Of Relationship Among The Rawi Hadis Rahmadi Yotenka
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.art3

Abstract

In this research apriori algorithm was implemented on rawi data of hadits to find out pattern of relationship among the rawi hadits in shahih bukhori book. The analogy that can be compared is by assuming that series or chain of rawi in every sanad of hadis may be regarded as transaction, while rawi hadis were items in transaction. Data mining is the method that was used to analyze with association rule technique. Association rule technique is used to find a pattern rule between a combination of items. To find out association rule by using association rule application, it is used apriori algorithm by observing three important measurement, namely support, confidence, and lift values. The analysis result of apriori algorithm showed that for minimum support 0.03 and minimum confidence 0.9 having 9 strong association pattern based on the sequence of rawi hadis of its sanad. Every rule of association which was strong, then tested by chi-square to prove that the rawis that were in the rule were truly connected or statisticly significance
Optimization of Transportation Cost Using Genetic Algorithm Rizky Kusumawardani
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.art4

Abstract

Transportation model is application of linear programming that is used to obtain optimum results from distribution issue, especially for minimize transportation cost. General transportation model requires two stages to obtain optimum results such as initial solution method and optimum solution method. These methods are not effective, because it need two stages. Moreover, selection of initial solution method will distinguish the number of iteration on optimum solution method. Therefore, in this study other method such as genetic algorithm that required one stage was used. Genetic algorithm was chosen as alternative method for transportation issue because this method didn’t need two stages and proved to be nice to solve optimization problems. The goal of this study to got method that more effective between combination of North West Corner (NWC) and Modified Distribution Method (MODI) with genetic algorithm to solved two data transportation issues. Based on results, the combination NWC and MODI was more effective for minimize transportation cost than genetic algorithm for two data that solved in this study
An Alternative Forecasting Using Holt-Winter Damped Trend for Soekarno-Hatta Airport Passenger Volume Arum Handini Primandari
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.art1

Abstract

Located in the capital city of Indonesia, Soekarno-Hatta Airport is considered as the main airport. Since there are some aviation companies providing low cost flight, the number people coming and leaving trough this airport has increased. The passenger volume can be considered as seasonal data since it shows increment in particular months, such as long holiday. Knowing in advance the volume of passenger will help the government to improve its service effectively. There is a simple and accurate method for forecasting seasonal data that is called Holt-Winter Exponential Smoothing (HWE). However, HWE always encounters over forecasting problem when it is employed to forecast in some future periods (m>1). In order to solve this problem, we add the damped parameter that will be damping the exponentially growth on HWE. This method called HWE damped trend. We employed the domestic passenger volume data of Soekarno-Hatta Airport from January 2008 till December 2015. This data collected from prior research. As the result, HWE damped trend outperforms traditional HWE on either training data set or testing data.
Premium Pricing of Liability Insurance Using Random Sum Model Mujiati Dwi Kartikasari
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.art5

Abstract

Premium pricing is one of important activities in insurance. Nonlife insurance premium is calculated from expected value of historical data claims. The historical data claims are collected so that it forms a sum of independent random number which is called random sum. In premium pricing using random sum, claim frequency distribution and claim severity distribution are combined. The combination of these distributions is called compound distribution. By using liability claim insurance data, we analyze premium pricing using random sum model based on compound distribution
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.

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2017 2017


Reset
Filter By Issues
All Issue VOLUME 6, ISSUE 2, October 2025 VOLUME 6, ISSUE 1, April 2025 VOLUME 5, ISSUE 2, October 2024 VOLUME 5, ISSUE 1, April 2024 VOLUME 4, ISSUE 2, August 2023 VOLUME 4, ISSUE 1, February 2023 VOLUME 3, ISSUE 2, August 2022 VOLUME 3, ISSUE 1, February 2022 VOLUME 2, ISSUE 2, August 2021 VOLUME 2, ISSUE 1, February 2021 VOLUME 1, ISSUE 2, August 2020 VOLUME 1, ISSUE 1, February 2020 VOLUME 19, ISSUE 2, August 2019 VOLUME 19, ISSUE 1, February 2019 VOLUME 18, ISSUE 2, August 2018 VOLUME 18, ISSUE 1, February 2018 VOLUME 17, ISSUE 2, August 2017 VOLUME 17, ISSUE 1, February 2017 VOLUME 16, ISSUE 2, August 2016 VOLUME 16, ISSUE 1, February 2016 VOLUME 15, ISSUE 1-2, 2015 VOLUME 14, ISSUE 2, August 2014 VOLUME 14, ISSUE 1, February 2014 VOLUME 13, ISSUE 1-2, August 2013 VOLUME 13, ISSUE 1, February 2012 VOLUME 12, ISSUE 2, August 2011 VOLUME 12, ISSUE 1, February 2011 VOLUME 11, ISSUE 2, August 2010 VOLUME 11, ISSUE 1, February 2010 More Issue