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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 6 Documents
 1 
Search results for , issue "VOLUME 4, ISSUE 2, August 2023" : 6 Documents clear
Reaksi Pembentukan 17α(chlorovinyl-3-methyl-butene)estradiol Melalui Reaksi Adisi Alkuna Terminal Pada Etinilestradiol Dengan Katalis ZnCl2: Reaksi adisi alkuna terminal pada 17α-ethinylestradiol dengan Katalis ZnCl2 dan HCl dengan media diklorometana Omega Siwu; Rymond J. Rumampuk; Budi Oktavia; Emma J. Pongoh; Soenandar M.T Tengker; Vlagia I Paat
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 2, August 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss2.art1

Abstract

The addition reaction had been done on the terminal alkynes of 17α-ethynylestradiol with ZnCl2 and HCl catalyst mediated by dichloromethane. The reaction conditions were carried out at a temperature of 70°C for 29 h, the separation of the reaction properties was carried out using Gravity Column Chromatography, and the reaction products were identification using by Nuclear Magnetic Resonance (NMR). The catalyst used was a cationic ligand coordinate, where Zn acts as the central ion and 2-propanol as the ligand. In the reaction mechanism, the reaction begins with the formation of dimeric ether. ZnCl3 catalyst acts as Lewis acid which converts alcohol to dimeric ether and forms a complex with ZnCl3. The nucleophilic terminal alkyne then attacks the C-O bond of the ether to form a vinyl carbocation which then attracts a chlorine atom from ZnCl3 which was complex bound with ether, resulting in a reaction product of 17α(chlorovinyl-3-methyl-butene)estradiol
Analisis Karakter Tertanggung oleh Pemegang Polis Perusahaan Asuransi Swasta di Indonesia dengan Metode Rough Set Ameilea Chealsea Ekaputrie; Achmad Fauzan
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 2, August 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss2.art2

Abstract

Insurance provides services in the form of services in facilitating a disaster that may occur based on a history of problems that have occurred. One of the private insurance companies in Indonesia has provided an insurance service program to guarantee employee welfare for policy-holding companies. The purpose of this research is to find out the pattern of association rules from the character of the insured by the policyholder so that it is expected to be able to make valuable information as input or consideration for the policymakers of private insurance companies in Indonesia. This study uses the rough set method as one of the efficient data analysis methods or techniques in database mining or knowledge discovery in relational databases. Rough sets provide algorithms to quickly and easily find hidden patterns in data. The results of the pattern of association rules for the character of the insured by the policyholder have formed as many as 14 rules. The certainty value is intended as a proportionate evaluation amount in order to find out the record of insurance claims that can be chosen by the insured. At the same time, the coverage value is intended as an evaluation amount to produce a decision for the insured to submit a claim record. The probable percentage of all events that are most recommended is seen from the highest coverage value related to record indicators, namely for administration by 45.9%, inspection by 44.1%, others by 40.8%, operation by 48.8%, financing by 46.3%, maintenance by 42%, and compensation of 65.9%.
Predicting the Number of Train Passengers in Java Island using SARIMA Model Luluk Muthoharoh; Dimas Wahyu Saputro; Dhea Sukma Agustiana; Fadia Dilla Sabine; Lis Nuraini; Rekzi P. Manullang; Taj Shavira; Mika Alvionita
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 2, August 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss2.art5

Abstract

The train at this time has become one of the most popular public transportation for medium and long-distance travel. The number of train passengers is difficult to predict during the holiday season. This study aimed to predict the number of train passengers using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The stages used in this study include (1) dataset preparation, (2) preprocessing data, and (3) experimental testing and methods. The SARIMA model obtained is ARIMA(2,1,0)(0,1,2)[12] with an AIC value of 2379,265. A diagnostic model was carried out, and it was found that the model is quite good. So the SARIMA method used in predicting passengers is accurate.
Implementasi Teori Antrian dan Simulasi Monte Carlo pada Jumlah pasien Covid-19 di Kota Batam Dwi Septiandini Putri; Muhammad Hasan Sidiq Kurniawan
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 2, August 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss2.art4

Abstract

The number of Covid-19 patients is the main thing to be concerned about in the time of pandemic, because Covid-19 can directly affect the sustainability of human life. Thus, adequate health services are needed in treating Covid-19 patients. One of the health services is home referral hospital. For example, in Batam City, there were 3 referral hospitals and one of them is a special hospital to hospitalized the Covid-19 patients. In this research, we were using queuing theory and Monte Carlo simulation to predict the queuing system of the patients. Queue conditions have levels density more than 100%, so that a hospital simulation is carried out using a minimum number of hospitals. It is obtained that at least 5 referral hospitals are required so that the density level becomes 83%. Based on the Monte Carlo simulation, it is suggested that the minimum number of hospitals is about three to four hospitals. When the minimum number is fulfilled, the average number of patients waiting to be treated and currently under treatment reduced to 3-4 people from the original, that is 4-5 people. The average waiting time to get treatment is about 5 minutes, originally 18 minutes and average waiting time to get treatment until it was stated that the condition had improved enough to be 5 hours which was originally 8 hours.
Risk Potency of Lead Exposure to Decrease Cognitive Ability of Productive Age Community in Indonesia Emas 2045 Rika Wijiyanti
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 2, August 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss2.art6

Abstract

Lead (Pb) can decrease children’s IQ and cognitive abilities. This study aims to analyze the risk characteristics of lead exposure in children aged 4-5 years related to the risk of low IQ as an obstacle in realizing “Indonesia Emas” of 2045 and to analyze the role of medical intelligence to anticipate these potential risks. This study was conducted in Tangerang Industrial Area. The Pb concentrations in food, urine, water, and rice were tested using Flame Atomic Absorption Spectrometry (FAAS). The results showed that Pb levels in food were lower than the Limit of Quantification (LOQ) method, thus, censored data rule was used for data processing. Overall results indicate a risk of causing long term cognitive impairment. However, The results of the calculation of exposure and Margin of Exposure (MOE) are based on the assumption of 50% and 100% of LOQ value. The obtained exposure and MOE values can not be used to said that the status of Pb exposure occurs. The resulting data is still useful as a basis for further research.
PERBANDINGAN PERBANDINGAN METODE ARTIFICIAL NEURAL NETWORK BACKPROPAGATION DAN GARCH DALAM MEMPREDIKSI HARGA SAHAM ( Studi Kasus : Saham Indosat Tahun 2012 – 2022 ) Maktisen Ena
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 2, August 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss2.art3

Abstract

Abstract: One of the problems encountered in the forecasting process is the problem of heteroscedasticity. Heteroscedasticity occurs a lot, especially in stock data. Pt Share Price Indosat (tbk) from March 6 2012 – January 18 2022 has fluctuated from time to time, so the variance is heteroscedasticity. The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and Artificial Neural Network Backpropagation (ANNBP) are methods that can be used on data with heteroscedasticity. The aim of this research is to obtain models and forecasting results from GARCH and ANN Backpropagation. In this study, the two models were compared based on the smallest MAPE value. This study uses daily data on the closing of Indosat shares. Forecasting is done on Indosat stock closing data, the total data is 2453 data divided into two parts, namely 80% training data totaling 1962 data and 20% training data totaling 491 data. Forecasting results from the GARCH model obtained a MAPE value of 11.04%, and the ANN Backpropagation model with 7 input layers, 20 hidden layers, obtained a MAPE value of 7.01%. Thus, the best model for predicting Indosat's share price in this study is the backpropagation model.

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