GUI Matlab Research Articles

DEVELOPMENT AND REALIZATION OF AN AUDIOMETER WITH AUTOMATIC TESTS AND INTELLIGENT DIAGNOSTICS USING NEURAL NETWORKS

An audiometer is a medical device that measures hearing state; most audiometers are for manual and physical use. The audio signal generator generates all the frequencies between 20 Hz and 22 kHz. This project will produce a tone-based audiometer (software and hardware) based on the Arduino board with GUI MATLAB. This work allowed us to do the test automatically with intelligent diagnosis. The smart part is based on the Neural Network Model. Our work comprises an electronic card and three parts or interfaces: Interface 1: subject management, Interface 2: hearing test, and Interface 3: audiogram. The tests and results of the prototype are very satisfactory; this is a positive sign that the prototype is working as expected and is a viable solution.

Project 2-D Motion Simulation Based on Matlab Graphical User Interface in Physics Learning

Learning physics requires students to master the basic concepts of physics. Not infrequently, the physics concept is abstract, so it isn't easy to be perceived by students. However, abstract concepts in physics learning can be overcome by visualizing physics concepts packaged in computer software-based application programs in the form of computer simulations. This study aims to develop a 2-D motion simulation program based on the Matlab GUI. This study uses the Research & Development method. The development of this application program is carried out through 4 stages called 4-D: Define, Design, Develop, and Dissemination. The subjects in this study were 20 students of class XI MAS Nurul Jannah Ampenan. From the results of the study, it can be concluded that the quality of the product that has been developed is very feasible, with a percentage of 89,09% based on the assessment of material experts, 93,33% by media experts in the appropriate category, the response of students in class XI MAS Nurul Jannah Ampenan on the motion simulation application program 2- D-based GUI Matlab with a percentage of 88,20% with an excellent category, and an increase in understanding of physics concepts on the subject of 2-D motion; projectile motion after students use the 2-D motion simulation application program is in the medium category, seen from the class average gain value of 0.62. Therefore, the application program that has been developed has met the eligibility criteria and can be used in physics learning.

Graphic User Interface (GUI) Matlab for Making Media Teaching Media Straight Motion Physics

The purpose of this study was to analize he use of GUI Matlab as a medium for learning physics for students at the SMP/MTs and SMA/SMK/MA levels through literature study. The method used is a literature study and development research with a 4D approach (define, design, develop, and dessimenate), but this research has only reached the development stage. The results obtained are that a physics calculator has been made for GLB and GLBB materials that can be used in calculating questions with the calculation results in accordance with manual calculations. In addition, based on the existing literature, the Matlab GUI can be used as a learning medium for straight motion physics subjects.

Frieze Group in Generating Traditional Cloth Motifs of the East Nusa Tenggara Province

Ethnomathematics studies the relationship between mathematics and culture. Indonesia has many traditional cultures. One of them is traditional cloth. The traditional cloth from East Nusa Tenggara (NTT) province is called tenun ikat. Since the motif of tenun ikat consists of symmetrical and repeated patterns, it can be generated using Frieze groups. The Frieze groups are the plane symmetry groups of patterns whose subgroups of translations are isomorphic to Z. There are seven groups in the Frieze groups, i.e., F_1, F_2, F_3, F_4, F_5, F_6, and F_7. Translation, reflection, rotation, and glide reflection are the transformation used in the Frieze groups. In this paper, Frieze groups are used to generate digital tenun ikat motifs from the basic pattern. Since one piece of original tenun ikat may consist of some basic patterns, the basic patterns are identified first, and then each of them is generated into the desired pattern, according to the suitable Frieze groups. Furthermore, a GUI Matlab program is developed to generate the Frieze groups. Three motifs of tenun ikat are presented to demonstrate the implementation of Frieze groups. With the Frieze group, users can generate other patterns from a basic pattern, so users can generate new motifs of tenun ikat without leaving the cultural characteristics of NTT province.

A Simple Medical Record System of Non-Invasive Blood Glucose Level Measurement Results for Diabetes Care Using Graphical User Interface (GUI) MATLAB

We present a medical records system and reminders to patients of the measurement results of non-invasive blood glucose levels. Measuring blood glucose levels is vital in avoiding potential adverse health effects like diabetes. Diabetes is a chronic metabolic disorder caused by a decrease in the pancreas to produce insulin. Generally, measuring blood glucose levels using the conventional method is injure the patient's finger. Currently, the non-invasive method was famous as one of the detections of blood glucose by applying the physical properties of laser absorption. In this paper, we use the photodiode as a detector, the LED as a sensor, and a signal conditioning circuit. The results showed that non-invasive glucose monitoring has the potential to measure glucose levels with sensitivity and linearity of 3.21 mg/dL and 98%, respectively. As a result of measuring the blood glucose levels of the subject was displayed on the LCD module was designed. We designed a simple application and medical record using Blynk applications and GUI MATLAB for recording the measurement results of blood glucose level. In the future, applications that have been developed can be used by doctors for monitoring the measurement of the blood glucose level and provide information to patients by mobile applications, sending an email or message the measurement results, the decision of a disease or not, and reminds the re-measurement time.

Simulasi sederhana pada hukum pendinginan Newton

A simple simulations on Newton’s cooling law has been performed. This simulations aims to study correlation of the newton cooling constant at temperatures to cooling times. This reseach is displayed in GUI Matlab (Guide Using Interface). The input required is initial temperature, ambient temperature, cooling constant, and cooling time. Through numerical calculation of the Newton’s cooling equation with Eulerian Method, we got that the time to reach the ambient temperature of each cooling constant is 59 seconds, 31 seconds, and 20 seconds respectively.

PEMBENTUKAN DAN PENGUKURAN KINERJA PORTOFOLIO EFISIEN DENGAN METODE CONSTANT CORRELATION MODEL MENGGUNAKAN GUI MATLAB (Studi Kasus: Kelompok Saham pada Indeks JII, LQ45, dan INFOBANK15)

Investment is an important part of financial management that is widely known by the public. One example of an investment is a stock, stock is favored by investors because many of companies issue stock investment. investors goal from investment are to get funds that have been invested. Besides advantage, investors also have to face risks that can befall on him. Risk in investment can be minimized by diversification, for example by forming a portfolio. A good portfolio is an efficient portfolio, which is a portfolio that has a high rate of return with minimal risk. One of the way to to form an efficient portfolio is the Constant Correlation Model (CCM) method. The CCM method focuses on Excess return to Standard Deviation (ERS) and correlation between paired stocks. And to measure the portfolio formed can be measured by the Sharpe Ratio. GUI MATLAB program was formed to make it easier to find portfolio from the CCM method. This research uses stock data on the stock index JII, LQ45, and INFOBANK15 with interest rate of SBI period 2 October 2017-30 December 2019. Based on the results and discussion with manual calculations and GUI MATLAB, it can be concluded that percentage of weight, expected return, risk, and Sharpe index produce the same numbers. Keywords: Stock, Efficient Portfolio, Constant Correlation Model, Sharpe Ratio

Forecasting Using Back Propagation with 2-Layers Hidden

A critical indicator of government policy in economics is based on high inflation because it implicates the welfare of the society in a region. Therefore, it is necessary to have a computing system to see the inflation trend or pattern by looking at monthly data each year. This research aims to predict the rate of inflation using the ANN Back Propagation method based on GUI MATLAB with two hidden layers. Input data is the inflation data of NTB province by using monthly data for the last 11 years, the activation function is LOGSIG, and the training function is TRAINRP. The results of training and testing were obtained an average prediction of 0.213 with MSE of 0.0053. These results proved that inflation rate of 0.5% decreased, therefore catagorized on medium inflation, with the highest inflation in April and the lowest one in July. The results showed that the Back Propagation method can be used as an alternative in predicting the rate of inflation in order to support sustainable economic growth so as to improve people’s welfare in the future.

Computational based on GUI MATLAB for back propagation method in detecting climate change: case study of mataram city

Climate change is a global phenomenon in which its impact can be perceived locally. In the face of this phenomenon, it is necessary to prepare and overcome this threat by developing various mitigation and adaptation strategies for climate change. To support this strategy, climate data such as temperature (maximum and minimum), rainfall, number of rainy days, as well as necessary information in the future need to be detected to prepare good and directional policies. The study aims to determine the climate parameters in Mataram city using forecasting by constructing the algorithm the Back Propagation method. In using the Matlab GUI application by analyzing climate change in Mataram city by using monthly data for the last 10 years. In the simulation stage, the data taken are the maximum temperature, minimum temperature, rainfall, and the number of rainy days in Mataram city. Based on the results of the training and testing process for climate data in the city of Mataram with a prediction of maximum temperature occurred in November at 32,580C and maximum rainfall occurred in December as much as 399.2931 mm, while for the maximum number of rainy days occurred in January with a total of 21.99 days. These results can be used as an alternative policy in the handling and preparation of extreme climate change.

СОЗДАНИЕ МАТЕМАТИЧЕСКО-КОМПЬЮТЕРНЫХ МОДЕЛЕЙ ДИНАМИКИ РАСПРОСТРАНЕНИЯ ПЛАМЕНИ АЭРОВЗВЕСЕЙ ТВЕРДЫХ ВЕЩЕСТВ В РАЗЛИЧНЫХ ГОРНЫХ ПОРОДАХ В СРЕДЕ MATLAB

The propagation of transient, air-suspended solids in a vented explosion chamber is numerically investigated by a dynamic formulation for the Concentration Limit of Flame Propagation (CLFP) with the GUI MATLAB environment. The geomechanics is modeled by a one-step overall reaction, which simulates the reaction of a stoichiometric propane– air-suspended solids. The CLFP modeling in the reaction rate model is numerically employed with mathematical models on basis Antoine's equation. This is based on an empirical correlation of the velocity fluctuations and implemented as interface with input-output data with graphic realization. The computer modeling show that the dynamic CLFP models provide superior results as general implementation of physical process of flame propagation and could be used for different rocks (f.e. granite, limestone, sandstone etc).

PENGARUH VARIASI SUDUT DATANG DAN SUDUT TANGKAP CAHAYA PADA NILAI KONTRAS CITRA SPEKEL BERAS BERBASIS GUI MATLAB

Rice is the staple food of Indonesian. Rice quality is a factor that needs attention because it is related to consumer health.Checking the quality of rice using digital images can be applied because it is non-invasive, so the rice will be more hygienic. The method of utilizing digital images that can be used for checking the quality of rice is LSCI (Laser Speckel Imaging). This method uses a speckle image, that contrast value is analyzedusingImageJ or MATLAB software. To obtain the optimum speckle image contrast value, the arrival angle (laser angle) and capture angle (camera angle) must be adjusted properly. Obtained angle values that produce the optimum speckle image contrast, are at the arrival angle 40 o and capture angle 30 o at 60 o data capture position. The average of the optimum contrast value is 1.2617 a.u. To simplify the speckle image processing, a speckle image contrast analysis application based on the GUI MATLAB was created. Obtained the measurement accuracy from the application is ranged from 99,99 % to 100.00%.

KOMPUTASI METODE MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING AVERAGE (MEWMA) UNTUK PENGENDALIAN KUALITAS PROSES PRODUKSI MENGGUNAKAN GUI MATLAB (STUDI KASUS: PT. Pismatex Textile Industry Pekalongan)

Control chart is one of the effective statistical tools to overcome the problem of process quality in a production. Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is an effective quality control tool in processes with more than one variable and correlated (multivariate). The MEWMA control chart has a weight value (λ) which makes this chart more sensitive in detecting small shifts process mean. The weight (λ) has values ranging from 0 to 1 ( ), where this weight will be given to each data. The MEWMA control chart in this study was used to form a control chart by the product defects percentage of grade B and grade B at PT. Pismatex Textile Industry Pekalongan. In this study, GUI Matlab was formed to assist the computational process in forming MEWMA control charts to control the quality of production at PT. Pismatex Textile Industry Pekalongan. Based on the result, the optimal weight is obtained at the weight value λ = 0.9. Keywords: Multivariate Exponentially Weighted Moving Average (MEWMA), Weight (λ), GUI Matlab, Percentage of product defects.

MATLAB image processing tool-based GUI for high-throughput image segmentation and analysis to study structure and morphology of skin H&E stained sections

The complex structure of skin tissue can make the analysis of high-throughput data manually inconvenient and leads to inaccurate analysis and time consumption. Therefore, automated system that can segment and detect features which might provide critical information for interesting phenotype is required. User friendly graphical user interface GUI in MATLAB can provide facilities to create a tool to enhance, segment and analyse images without having expert skills in image processing, this can be used in the study of skin morphology phenotyping to find interesting morphological and metabolic phenotypes. Using image processing capability facilitates to develop a tool to analyse a range of different images in term of intensity and quality because of the variation in histology performed in different laboratory. Consequently, develop of automated high-throughput bioimaging tool is considered to be a very important topic in disease diagnosis and drug development. Significant assessment of the morphological features in H&E skin section through the use of GUI MATLAB tool by quantifying all of epidermal and dermal thickness and number and size of adipocyte in subcutaneous. Using our developed tool, we were able to detect interesting epidermis, dermis and adipocyte phenotypes in mice skin sections. The Morphological Bio-imaging Tool provides facilities in the high-throughput analysis of H&E skin section to understand genetic basis of diseases.

Literasi Digital dan Pemahaman Konsep Himpunan Siswa SMP Menggunakan Media Pembelajaran GUI Matlab

The purposes of this research are to analyze the digital literacy of students in using the GUI Matlab learning media and understanding the concept of set in junior high school students through digital literacy using the GUI Matlab. To answer these problems using a qualitative approach. The subjects of this study were five students of class VII tutoring. The research instruments used in this study were a test, an interview, and a questionnaire. Data are analyzed by reducing data, presenting narrative data, and concluding results. The results of this study show that the digital literacy of students in using GUI Matlab learning media is excellent. Besides, 80% of students can determine the members of the set correctly, 80% of students can determine the empty set correctly, 100% students can draw Venn diagrams correctly, determine the set of complements correctly, and determine the subset.

Analysis of accuracy parameters of ANN backpropagation algorithm through training and testing of hydro-climatology data based on GUI MATLAB

The authors have developed a GUI Matlab to simplify the process of predicting Hydro-climatology data using ANN Back Propagation method. Five data for training, testing, and prediction were used. The data, i.e. rainfall, air humidity, duration of shine, temperature, and wind speed are taken from the last ten years with matrix input size m x n. Each data is trained 21 times using a combination of the activation functions (logsig, tansig, and purelin) and training methods (traingda, traingdx, and trainrp). The result of the training data was that the logsig function and trainrp on each layer are the best formulas in conducting training, testing, and predictions with an accuracy of 99.71%. This result is obtained from parameter settings including epochs of 1000, learning rate of 0.7, goal error of 0.0001, and training steps of 1.

PERBANDINGAN METODE MOORA DAN TOPSIS DALAM PENENTUAN PENERIMAAN SISWA BARU DENGAN PEMBOBOTAN ROC MENGGUNAKAN GUI MATLAB

MAN Asahan is an educational institution that selects new students every year. MAN Asahan sets certain criteria in choosing new students so that selected students are of high quality. The criteria determined are the Al-Qur'an test scores, national exam scores, Academic Potential Test scores and achievement certificates. In selecting new students who were accepted as many as 271 of the 530 registrants the school still used the manual process so that it needed accuracy and a long time. In this study a decision support system was created that could be a solution to assist the selection process according to school criteria. The system will applied is MOORA (Multi-Objective Optimization on the Base of Ratio Analysis) method and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with the weighting method of ROC (Rank Order Centroid). Then the sensitivity analysis is done to determine the appropriate method to be chosen to obtain optimal results. This research was conducted with the help of the MATLAB GUI as a computing tool. The GUI that is built can simplify and speed up the selection process. Based on the results of the study, the average percentage value of sensitivity for the MOORA method is -1.61% while the TOPSIS method is -7.96%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the MOORA method.Keywords: Students, MOORA, TOPSIS, ROC, Sensitivity, GUI Matlab

IMPLEMENTASI METODE SAW DAN WASPAS DENGAN PEMBOBOTAN ROC DALAM SELEKSI PENERIMAAN PESERTA DIDIK BARU (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019)

Multi Attribute Decision Making (MADM) is one of the decision-making methods to determine the best alternative from a number of alternatives based on certain criteria. There are several methods that can be used to solve MADM problems including Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assesmen (WASPAS). Both methods are applied in the selection of prospective new students. In this study, MTsN Kisaran selected 192 students received from 422 registrans and determined certain criteria to get quality students. The criteria determined are the value of the national exam, the value of the Al-Qur'an test, and the value of the academic potential test. The method applied is SAW and WASPAS with the weighting Rank Order Centroid (ROC). Then a sensitivity analysis is carried out to determine a viable methods selected to obtain optimal results. This research was designed with the help of the Matlab GUI as a computing tool to simplify and accelerate the selection process. Based on the results of the study, the average percentage value of sensitivity for the SAW method was -0.82% while the WASPAS method was -0.87%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the SAW method. Keywords: Students, SAW, WASPAS, ROC, Sensitivity, GUI Matlab.

Deteksi Mata Mengantuk pada Pengemudi Mobil Menggunakan Metode Viola Jones

Computer Vision is one of the branches of Image processing science that allows a combination of human beings, such as identifying an object like an eye and taking a decision. Many of the face detection systems use the Viola Jones method as an object detection method. The method of Viola Jones is known by having high speed and accuracy because it is useful to combine several concepts such as (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into a major method for detecting objects. The programming language used in this study uses the MATLAB programming language to facilitate the process of creating the system. The research aims to implement Viola Jones into a simple eye-sensing drowsiness system by utilizing the existing libraries in the MATLAB programming language. Once the system is completed, a system test is performed against the detected drowsiness detection characteristics. This eye drowsiness detection system aims to determine if the car rider is sleepy or not when driving with an input in the form of eye detection taken using a digital camera and then inserted into a language Programming GUI Matlab where the value is taken binary eyes, sleepy eyes and not sleepy that will be a reference that will be processed later so that it can produce the output of a warning sound to the rider of the sleepy car vehicle or not The sleepy automatically. The testing of the program gained an amount detected 7 eyes of 10 eyes by using BW 0255 level which is useful to accelerate a program to detect sleepy eyes.

PEMODELAN REGRESI ROBUST S-ESTIMATOR UNTUK PENANGANAN PENCILAN MENGGUNAKAN GUI MATLAB (Studi Kasus : Faktor-Faktor yang Mempengaruhi Produksi Ikan Tangkap di Jawa Tengah)

Multiple Linear Regression can be solved by using the Ordinary Least Squares (OLS). Some classic assumptions must be fulfilled namely normality, homoskedasticity, non-multicollinearity, and non-autocorrelation. However, violations of assumptions can occur due to outliers so the estimator obtained is biased and inefficient. In statistics, robust regression is one of method can be used to deal with outliers. Robust regression has several estimators, one of them is Scale estimator (S-estimator) used in this research. Case for this reasearch is fish production per district / city in Central Java in 2015-2016 which is influenced by the number of fishermen, number of vessels, number of trips, number of fishing units, and number of households / fishing companies. Approximate estimation with the Ordinary Least Squares occur in violation of the assumptions of normality, autocorrelation and homoskedasticity this occurs because there are outliers. Based on the t- test at 5% significance level can be concluded that several predictor variables there are the number of fishermen, the number of ships, the number of trips and the number of fishing units have a significant effect on the variables of fish production. The influence value of predictor variables to fish production is 88,006% and MSE value is 7109,519. GUI Matlab is program for robust regression for S-estimator to make it easier for users to do calculations. Keywords: Ordinary Least Squares (OLS), Outliers, Robust Regression, Fish Production, GUI Matlab.

GENERALIZED PARETO DISTRIBUTION UNTUK PENGUKURAN VALUE AT RISK PADA PORTOFOLIO SAHAM SYARIAH DAN APLIKASINYA MENGGUNAKAN GUI MATLAB

The capital market is one of long-term investment alternative. One of the traded products is stock, including sharia stock. The risk measurement is an important thing for investor in other that can decrease investment loss. One of the popular methods now is Value at Risk (VaR). There are many financial data that have heavy tailed, because of extreme values, so Value at Risk Generalized Pareto Distribution is used for this case. This research also result a Matlab GUI programming application that can help users to measure the VaR. The purpose of this research is to analyze VaR with GPD approach with GUI Matlab for helping the computation in sharia stock. The data that is used in this case are PT XL Axiata Tbk, PT Waskita Karya (Persero) Tbk, dan PT Charoen Pokphand Indonesia Tbk on January, 2nd 2017 until May, 31st 2017. The results of VaRGPD are: EXCL single stock VaR 8,76% of investment, WSKT single stock VaR 4% of investment, CPIN single stock VaR 5,86% of investment, 2 assets portfolio (EXCL and WSKT) 4,09% of investment, 2 assets portfolio (EXCL and CPIN) 5,28% of investment, 2 assets portfolio (WSKT and CPIN) 3,68% of investment, and 3 assets portfolio (EXCL, WSKT, and CPIN) 3,75% of investment. It can be concluded that the portfolios more and more, the risk is smaller. It is because the possibility of all stocks of the company dropped together is small. Keywords: Generalized Pareto Distribution, Value at Risk, Graphical User Interface, sharia stock