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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 15 Documents
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Search results for , issue "VOLUME 1, ISSUE 1, February 2020" : 15 Documents clear
Characterization of Newcastle Disease Virus in Southeast Asia and East Asia: Fusion Protein Gene Arif Nur Muhammad Ansori; Viol Dhea Kharisma
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art3

Abstract

The aim of this study was to generate the bioinformatics analysis of the circulating NDVs in Southeast Asia, East Asia, and the vaccine virus strains through a database of isolates stored in GenBank® (National Center for Biotechnology Information, USA). The used isolates were AJ629062.1 (La Sota), AF309418.1 (B1), EF201805.1 (Mukteswar), KT445901.1 (Komarov), JX524203.1 (V4), AY935499.2 (I-2), KC987036.1 (F), KF767104.1 (Indonesia), KF767105.1 (Indonesia), KF767106.1 (Indonesia), HQ697255.1 (Indonesia), HQ697256.1 (Indonesia), HQ697261.1 (Indonesia), JX012096.2 (Malaysia), GU332646.1 (Vietnam), AF358786.1 (Taiwan), AF358788.1 (China), KT380032.1 (Republic of Korea), and KC503416.1 (Japan). As the results, this study have revealed the data of homology, pathotype, genetic distance, B cell epitope prediction, and molecular phylogenetic analysis of circulating NDVs in Southeast Asia and East Asia and vaccine virus strains. Thus, the results of this study can be used as a reference for vaccine design studies in the applications of poultry vaccine industryReceived: 28 August 2019; Accepted: 31 December 2019; Published: 11 January 2020.
Synthesis and Characterization of Nano Activated Carbon from Annatto Peels (Bixa orellana L.) Viewed from Temperature Activation and Impregnation Ratio of H3PO4 Cucun Alep Riyanto; Muhamad Syaiful Ampri; Yohanes Martono
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art7

Abstract

Nano activated carbon is activated carbon with nano-sized carbon particles and can be synthesized from cellulose-containing materials such as the Annatto peels. In this study, the synthesis of nano activated carbon of the Annatto peels was carried out in terms of activation temperature variations and the carbon impregnation ratio of 50% H3PO4 acid and determining the characteristics of nano activated carbon from Annatto peels (NAPAC). The activation method used is the impregnation of carbon in 50% H3PO4 with a ratio of 1: 3; 1: 4; 1: 5; 1: 6; and 1: 7 (w/w) for 24 hours and heating at 400; 500; 600; 700; and 800 °C for one hour. Nano activated carbon from Annatto peels (NAPAC) was characterized by Infrared Spectrophotometer (FTIR), X-ray Diffractometer (XRD), and Transmission Electron Microscope (TEM). The results of the study showed that the NAPAC can be synthesized from Annatto peels with activation by 50% H3PO4 at the temperature of 500°C and the impregnation ratio of 1:5 (w/w). The result of characterization using FT-IR, XRD and TEM showed that NAPAC contains a group of functions O-H, C-H, C=, C=C dan C-O/P=O with an amorphous carbon structure and the range of particles diameter at 22-36 nm
EFFECT OF COOKING ON IRON AVAILIBILITY IN FORTIFIED HOMEMADE TEMPEH Micha Mahardika; Fauzan Amin; Arda Ganda Risdiyono
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art4

Abstract

Iron deficiency anemia is a type of anemia caused by iron deficiency, decreasing in the number of healthy red blood cells. The purpose of this study was to make fortified Fe-EDTA and find out the changes in iron availability after cooking (frying and boiling). The biological availability test for iron was carried out in vitro by simulating human digestion using enzyme pepsin and pancreatin-bile solution. The iron variants added were 0, 0.033, 0.066, 0.099, 0.132, and 0.166 % of EDTA iron on 30 grams of raw soybeans to be homemade tempeh. Test results with Atomic Absorption Spectrometry (AAS) showed that the highest Fe content of 12.54 mg was obtained by adding 0.166% of EDTA iron to raw tempeh. But after cooking, there is a decrease in fried and boiled tempeh. The results obtained from the addition of 0.166% of iron-EDTA are 7.74 mg for fried tempeh, and 8.40 mg for boiled tempeh. The results of the addition of Fe-EDTA 0.166% for raw tempeh and boiled match to the value of daily Fe intake to reduce iron anemia in the amount of 8-15 mg / day according to Recommendation Dietary Allowance (RDA). The addition of 0.166% of Fe-EDTA fortification on dried tempeh, it still has not match to the recommended level.Received: 13 September 2019; Accepted: 30 December 2019; Published: 12 January 2020
Hepatoprotective Effect of Corn Silk Infusion in Male Wistar Rats Arba Pramundita Ramadani; Hady Anshory Tamhid; Tika Luthfi Sadrina; Jasno Jasno; Mabrurotul Mustafidah
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art8

Abstract

The use of medicinal plants in treating various disease has been reported since long time ago, including for hepatic disease. Corn silk contains phytochemicals of medical benefit such as flavonoids compounds which act as antioxidant agents and has been widely reported possess hepatoprotective effect. Using a model of carbon tetrachloride (CCl4)-induced hepatotoxicity in 36 male Wistar rats, this study investigated the effect of corn silk infusion and assessed using enzymes produced by the liver in plasma [alkaline phosphatase (ALP) and liver glutathione (GSH)]. The corn silk infusion (in 50, 100, and 200 mg/kg BW doses) were administered 24 hours after CCl4-induction liver damage with 3ml/kg BW CCl4 in olive oil (1:1, v/v), intraperitoneally for seven days. Along with corn silk groups, distilled water (0.2 mL/kg BW) and Curcumin (100 mg/kg BW) were given for induction and drug control, respectively. In the end of the study (8th day), the level of both ALP dan GSH were measured. The differences among groups for GSH and ALP level were statistically calculated using ANOVA method.  The result showed that the corn silk infusion is active at 200 mg/kg BW based on both ALP (18.74% decreased) and GSH (5-7% increased) level. Moreover, the flavonoid compound was detected on the infusion that may contribute on its hepatoprotective activity. In conclusion, corn silk infusion owned hepatoprotective effect in male Wistar rats.
A Comparison between Nonparametric Approach: Smoothing Spline and B-Spline to Analyze The Total of Train Passangers in Sumatra Island Drajat Indra Purnama
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art11

Abstract

The train is one of the means of land transportation of the most desirable communities other than ground transportation such as bus or car. This is because the rail has an advantage that is free from congestion. Increasing mobility of people, means of transportation that is free from congestion increasingly in demand. In Indonesia, the only railway in Java and Sumatra. Either in Java or Sumatra Island train passenger numbers have increased every year. Based on data from BPS-Statistics, the number of train passengers in Sumatra during the last five years has increased an average of 14.8 percent per year.  Noparametric regression model that can be used to describe the pattern of data on the number of train passengers in Sumatra Island is smoothing spline regression and B-spline regression. The purpose of this study is to find the most nonparametric regression model to describe the pattern of the relationship between the time and number of train passengers on Sumatra Island. Smoothing spline and B-spline models were compared by looking at the regression curve and the value of Mean Square Error (MSE). The results of this study indicate that smoothing spline model is more appropriate to see the pattern of the relationship between the time and number of train passengers in Sumatra Island. This can be seen from the MSE of smoothing spline models 2,742.801 smaller than the MSE of B-spline models 3,847.657.
Clustering Provinces in Indonesia based on Community Welfare Indicators Sekti Kartika Dini; Achmad Fauzan
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art9

Abstract

The Preamble of the 1945 Constitution of the Republic of Indonesia explicitly states that the main task of the government of the Republic of Indonesia is to advance general prosperity, to develop the nation's intellectual life, and to realize social justice for all Indonesian people. Social inequality is a problem that is still faced by Indonesian people today. To solve the problem required supporting data analysis as a basis for policy formulation. This research was conducted with the aim of clustering provinces in Indonesia based on community welfare indicators using K-Means cluster analysis. K-Means cluster analysis is chosen based on the variance value (0.101), which is smaller than the variance value in the average linkage cluster analysis (0.152). Based on data analysis, provinces in Indonesia are clustered into three where the first cluster consists of 21 provinces, the second cluster consists of 3 provinces, and the third cluster consists of 10 provinces. Each cluster has different characteristics that can be of concern to the parties concerned to overcome the social welfare gap. Besides, in order cluster results are more easily understood, visualization of results is added with a Geographic Information System (GIS) using Indonesian maps accompanied by differences in color gradations for each cluster
Neural Network Model for Mathematic Scores Prediction: Case Study in SMK Negeri Pakis Aji, Jepara, Indonesia Adi Sucipto; Joko Minardi
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art5

Abstract

Aim of this research is to apply Neural Network Algorithm to predict score of mathematic in the national exam. During the time, the teacher only provided national exam materials and additional tryout tests without knowing how to predict the exam scores in mathematics subject. Data mining neural network algorithm obtained \Root Mean Square Error (RMSE) values which were used as basic improvement and clustering class By conducting research using data mining neural network algorithm, it proved that this model can be used to predict scores of Mathematics subject at SMK Negeri 1 Pakis Aji.. The result of this research by using data mining neural network algorithm found RMSE 0138 +/- 0.092. The lower the RMSE values the more accurate the neural network to predict mathematics scores of SMK Negeri 1 Pakis Aji.Received: 18 Agustus 2019; Accepted: 5 Januari 2020; Published: 14 January 2020
Transesterfication Process of Waste Cooking Oil Catalyzed by Na/CaO Derived from Blood Clam (Anadara Granosa) Shells Edi Kurniawan; Nurhayati Nurhayati
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art1

Abstract

Abstract: Blood clam (Anadara granosa) shells has the potential to be developed as a base heterogeneous catalysts for biodiesel production. Blood clam (Anadara granosa) shells has a high mineral content of calcium carbonate (CaCO3). CaCO3 can be decomposed into CaO at high temperature heating. In this study, CaO catalyst synthesized from the blood clam (Anadara granosa) shells calcined of 900 °C for 10 hours and then impregnated using NaOH (1, 3, and 5% w/w) the activation temperature of 600 °C for 5 hours. 3% Na/CaO catalyst was the most better catalyst with maximum biodiesel results obtained at 83,57% using the 3% Na/CaO catalyst. The maximum conditions obtained from biodiesel production using the 3% Na/CaO catalyst on the reaction temperature at 60 °C, the reaction time of 3.5 hours, stirring speed of 250 rpm, 3 g weight of catalyst, and the mole ratio of oil: methanol 1: 6.Keywords: Biodiesel, Transesterification, Blood clam shells, Heterogeneous base catalystReceived: 29 September 2019; Accepted: 2 December 2019; Published: 15 January 2020
Analysis of Factors Influencing The Decision to Choose The Department in The Natural Science Campus Muhammad Hasan Sidiq Kurniawan; Achmad Fauzan; Jaka Nugraha
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art12

Abstract

Education is very important thing for everyone. Parents tend to choose high-quality school or campus, to ensure their children’s education. One thing which determined parents to choose the campus for their children is the prospect for work. Faculty of Natural Science UII have high-quality department. Some of them already had highest accreditation level and even Internationally accredited. But some peoples in Indonesian often asked about what become of their children after graduated from the faculty of natural science or what is job that suit for their chlidren. The department of that faculty often not become the first choice when choosing campus. Therefore, the research to study about factors which determine people to choose their college department is needed. In this paper, the study is focused on factors which influence people’s decision score to choose the department in the faculty of natural science. We are using correlation and regression analysis. The result show that factors which influence the people’s decision are different between one department with another. Those factor consist of: product, promotion, and the price/cost.
Standardization of Specific and Non-Specific Parameters of Propolis Extract as Raw Material for Herbal Product Yandi Syukri; Ririk Purwati; Nadia Hazami; Hady Anshory Tahmid; Annisa Fitria
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art6

Abstract

This study aims to standardize the specific and non-specific parameters of propolis extract originating from East Java, Indonesia, to fulfil the requirements as a herbal raw material. Standardization was carried out on propolis ethanol extract taken at three different harvesting times. Standardization was carried out on specific parameters including the content of dissolved compounds, chemical content of extracts and chromatogram patterns, while the non-specific parameters of the extract included water content, ash content residue, density, microbial contamination, and heavy metal contamination. Specific extract parameters showed that the water-soluble extract content was 2.1-3.5%; levels of ethanol-soluble extract 62.00-84.00%; total flavonoid levels of 0.015-0.072 mg ER / g; and total phenol content of 0.0039-0.0053 mg ER / g. Non-specific parameters indicate that the water content is 10.72-10.90%; drying losses 10.05-10.63%; total ash content of 0.08-0.65%, density of 0.88-0.89 g / mL; Pb levels from 6.55-9.01 mg / kg; Cd content of 0.50-1.22 mg / kg, Cu content of 0.82-1.13 mg / kg; the total plate number is 10 colonies / g and the yeast fungus number is 10 colonies / g. It can be concluded that propolis extract from the East Java region of Indonesia fulfills the requirements as a raw material for herbal products in Indonesia.

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