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Zeta - Math Journal
Published by Universitas Islam Madura
ISSN : 24599948     EISSN : 25795864     DOI : -
Core Subject : Education,
Mathematics
Zeta - Math Journal is a mathematical journal published twice a year by the Mathematics Department, Faculty of Mathematics and Science, Islamic University of Madura. Journal includes research papers, literature studies, analysis, and problem solving in Mathematics (Algebra, Analysis, Statistics, Computing and Applied). It cordially invites contributions from researcher, lecturer, and teacher of related disciplines. The language used in this journal is Indonesian and English.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 4 No 1 (2018): Mei" : 5 Documents clear
Prediksi Harga Saham pada PT. ABCD menggunakan Ensemble Kalman Filter Katias, Puspandam; Fidita, Denis; Herlambang, Teguh -
Zeta - Math Journal Vol 4 No 1 (2018): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.916 KB) | DOI: 10.31102/zeta.2018.4.1.24-27

Abstract

Stock Exchange is established as an effort to link both stock / security sellers and buyers. Securities often traded in stock market is share. The intention of an investor in investment is to have the lowest risk and to gain the highest profit. To make decision for optimal investment, calculation on the estimate of future return to be gained is necessarily made. One of estimate calculation methods considered the most objective is by applying the Ensemble Kalman filter (EnKF) method. Ensemble Kalman filter is a method of estimation of condition variable of discrete linear dynamic system that minimizes covarian error of estimation. So, this study aims to apply share price estimation method for close prices of share of PT. ABCD by Ensemble Kalman Filter method as investor' consideration in investment with an error of 3% - 5%.
Peramalan Kebutuhan Darah Jenis Packet Red Cells (PRC) di PMI Kota Surabaya dengan Metode Jaringan Syaraf Tiruan Propagasi Balik Devi, Azmi Khulmala; Herlambang, Teguh -
Zeta - Math Journal Vol 4 No 1 (2018): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.428 KB) | DOI: 10.31102/zeta.2018.4.1.7-11

Abstract

Human blood is liquid in human body, which functions to transport oxigen needed by cells to the whole body. Considering the important blood function, the Indonesian Red Cross (PMI) has to maintain its blood stock stability to ensure the blood availibility. But the problem that PMI has to encounter with is its blood over-supply which leads to blood disposal. To minimize its unnessary blood disposal, estimation of blood need is required. Data of blood demand is normalized first, then estimation is made using Neural Network Backpropagation. In this study the estimation is made to the blood type of Packet Red Cells (PRC), the blood cells stocked at PMI Kota Surabaya. The best simulation result is at epoch 3000 with function Y = 4542,33 – 1,64595 x – 0,244018 x^2 and an error of 0,020314.
Pengaruh Korelasi Data pada Peramalan Suhu Udara Menggunakan Backpropagation Neural Network Rahmalia, Dinita; Aini, Nur
Zeta - Math Journal Vol 4 No 1 (2018): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.33 KB) | DOI: 10.31102/zeta.2018.4.1.1-6

Abstract

Air temperature forecasting is important role in agriculture, flight, trading and so on. The method used for forecasting is Neural Network (NN). NN works as human neural system. One of NN type used for forecasting is Backpropagation where Backpropagation model is there are hidden layers between input and output. Due to forecasting result depends on data correlation, then this research will explain about the effect of data correlation on air temperature forecasting. To obtain forecasting result, Backpropagation algorithm will be used. Simulations are applied in three dataset with different structures. Based on simulation results, data which have strong correlation can result better forecasting based on smaller Mean Square Error (MSE).
Sistem Persamaan Linier Aljabar Max-Plus untuk Mengoptimalisasi Waktu Produksi Otok Goreng Khas Madura Rohani, Suci; Amalia, Rica; Yulianto, Tony; Faisol, Faisol
Zeta - Math Journal Vol 4 No 1 (2018): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.845 KB) | DOI: 10.31102/zeta.2018.4.1.12-17

Abstract

Every company has a goal to improve the products produced. But in this case the production process of each company must be faced any problems, one of which is the increasingly competitive level of competition that occurs in fried otok companies, especially Otok Goreng HLM H, which requires to determine the amount of production in order to meet market demand on time and the amount accordingly so that it is expected to increase profits from the factory itself. Optimization of production and scheduling time can be modeled using the linear max-plus time invariant theory in a Discrete Event System (DES) where the activity time is in the form of real numbers. Optimization results of the Otok Goreng HLM H production time with the Invariant Time Max-Plus Linear System method, namely the biggest sub-settlement obtained optimal ordering results for the time of ordering as much as 4 times with the fastest time to start production at 07.00 am to 09.50 am, the consumer those who have ordered Otok Goreng HLM H can take the order at 02.03 pm to 4.53 pm or later.
Estimator Deret Fourier Dalam Regresi Nonparametrik dengan Pembobot Untuk Perencanaan Penjualan Camilan Khas Madura Sholiha, Anisatus; Kuzairi, Kuzairi; Madianto, M. Fariz Fadillah
Zeta - Math Journal Vol 4 No 1 (2018): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (185.657 KB) | DOI: 10.31102/zeta.2018.4.1.18-23

Abstract

The purpose of regression analysis is determining the relationship between response variables to predictor variables. To estimate the regression curve there are three approaches, parametric regression, nonparametric regression, and semiparametric regression. In this study, the estimator form of nonparametric regression curve is analyzed by using the Fourier series approach with sine and cosine bases, sine bases, and cosine bases. Based on Weighted Least Square (WLS) optimization, the estimator result can be applied to model the sale planning of Madura typical snacks. Nonparametric regression estimators with the Fourier series approach are weighted with uniform and variance weight. The best model that be obtained in this study for uniform weight, based on cosine and sine basis with GCV value ​​of 1541.015, MSE value of 0.1375912 and determination coefficient value of 0.4728418%. The best model for variance weight is based on cosine and sine basis with a GCV value of 1541.011, MSE value of 0.1375912 and determination coefficient of 0.4728227%.

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