R. Rizal Isnanto

Constructing New Biorthogonal Wavelet Type which Matched for Extracting the Iris Image Features

Some former research have been made for obtaining a new type of wavelet. In case of iris recognition using orthogonal or biorthogonal wavelets, it had been obtained that Haar filter is most suitable to recognize the iris image. However, designing the new wavelet should be done to find a most matched wavelet to extract the iris image features, for which we can easily apply it for identification, recognition, or authentication purposes. In this research, a new biorthogonal wavelet was designed based on Haar filter properties and Haars orthogonality conditions. As result, it can be obtained a new biorthogonal 5/7 filter type wavelet which has a better than other types of wavelets, including Haar, to extract the iris image features based on its mean-squared error (MSE) and Euclidean distance parameters.

Palmprint recognition system based on principle-lines feature using Euclidean Distance and neural network

Human recognition system can be done based on the characteristics of palmprint. The palmprint identification system is the palmprint matching process tested with the entire palmprints have been registered on the database. The result is to recognize one individual palmprint. This system consists of software completed with a webcam as input to generate input images. In the system, feature extraction uses detection of the principal-line features and then the image is divided into blocks and form a feature vector of palmprint. The process of feature extraction starts with the palmprint lines acquisition which plays an important role towards the success of recognition. The system developed was tested using 90 palmprint images from 30 individual persons with three samples of palmprint were acquired from one person. Two of three palmprint samples were used as test images, while the rest is used as the reference image. From the test results using Euclidean Distance as its similarity measure, it can be concluded that the recognition system based on principal lines feature of palmprint is well-performed with the successful recognition of the palms tested reaches 100%, both for testing using palm images which have been trained as well as for testing using outer images. While, for recognition using neural network, the results are: The test results show that the performance of palmprint recognizing system with 3 positions of test images provides success rate 88.88 %. The test with straight vertical position provides success rate 90 %. The test with 90° angle to the right position provides success rate 93.33 %. The test with 90° angle to the left position provides success rate 90 %.

National Car Development in Indonesia with Multiplicative Analytic Hierarchy Process

Indonesias economic growth causes peoples purchasing power and the need for vehicles to ease performance is increasing. So the necessary development of national vehicles that can be used in accordance with the needs of society in Indonesia. To produce vehicles in accordance with the needs of the community, it is necessary to analyze the needs of vehicle characteristics in accordance with the characteristics of the society in Indonesia. In this research used seven characteristics of vehicle and method Multiplicative Analytic Hierarchy Process (MAHP). The MAHP model is used to obtain effective and consistent conclusions. Consistency in MAHP model will result in the best vehicle conclusion for national car development in Indonesia. General Terms Decision Supporting Systems.

Optimizing MySQL database system on information systems research, publications and community service

MySQL is the most trusted and depended-on open source database platform in use today. Many of the most popular and highly-trafficked websites in the world are built on MySQL because of its ubiquity across heterogeneous platforms and application stacks and for its well-known performance, reliability and ease of use. Research, publications and community service is one activity that is managed by the Institute for Research and Community Service. The process of managing these activities today cannot be separated from the Internet, therefore we need a system that can manage every activity. To obtain the proper management it needs a system that is supported by the database system is also good. This paper discusses how to conduct the process of optimizing the database system so that when the data is accessed does not affect the performance of server systems. Process optimization is done on the design of the database system. Database design plays an important role in determining system performance. Process optimization is done in this study by using one of the functions that have been given in MySQL by using VIEW. This virtual table process to be performed by the system to be faster. This is because during the system requests to the server is does not need to query over and over because it has been done in the database management system.

Sentinel web: Implementation of Laravel framework in web based temperature and humidity monitoring system

The performance of information technology infrastructure is influenced by environmental parameters, such as temperature and humidity. Therefore, there is a need to precisely monitor and handle such parameters. This paper presents the development of a reliable web based monitoring system as online application media to simplify recapitulation and documentation of temperature and humidity data. To fasten web development, it needs an implementation of web technology such framework. In developing application, Laravel MVC framework was employed as scripting method and object-oriented-based UML. Sentinel web offers stakeholder to monitor the latest data, review and download data by certain date range, make system error reporting document, and manage users and profile.

Foreword from general chair of ICITACEE 2015 Universitas Diponegoro, Semarang - Indonesia

On behalf of Technical Committee and Organizing Committee of ICITACEE 2015, I am honored to welcome you to The 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE 2015). The conference is planned to be conducted annually. This conference program is organized by Computer Engineering Department, together with Electrical Engineering Department, Faculty of Engineering, Diponegoro University, Semarang. The main theme of the conference is “Green Technology Strengthening in Information Technology, Electrical and Computer Engineering Implementation”.

Application of liver disease detection using iridology with back-propagation neural network

Iridology is the study of iris structure as a reflection of the organ condition and system in the humans body. In this study, the organ which is detected is liver. To determine the condition of the liver through iris, texture analysis and classification process are needed to distinguish iris of eye that contains the condition of normal and abnormal liver. The purpose of this study is to detect the condition of the liver through iris using back-propagation neural network with the Gray Level Co-occurrence Matrix (GLCM) for feature extraction. Application to detect liver conditions was made using Matlab version 8.1.0.604 (R2013a). Inputs for this study which is used is the eye image with both normal and abnormal conditions of the liver, based on Bernard Jensens iridology chart. The image is then carried out with iris localization process, ROI-making organ of the liver, and GLCM feature extraction. Results of feature extraction is used as input data (training data and test data) for the back-propagation neural network method, then used to diagnose liver organ conditions. On the obtained test results, a number of hidden layer units showed a growing number of units in the hidden layer that makes Mean Square Error (MSE) value will decrease. It makes network performance is getting better. Based on the test results, 35 test data with four variations of the number of units in the hidden layer, namely, the variation of the number of hidden layer units [ 40 ( layer 1 ), 20 ( layer 2 ) ], [ 50 ( layer 1 ), 20 ( layer 2 ) ], [ 70 ( layer 1 ), 30 ( layer 2 ) ], and [ 80 ( layer 1 ), 30 ( layer 2 ) ]. Sequentially, the data show the success rate percentage of 77.14 %, 80 %, 88.57 %, and 91.42 % . Thus in this test, the best success percentage is 91.42 % .

Design of management information systems research, publications and community service

Diponegoro University is one of the colleges that have a number of research activities, publications and community service were great. This activity is controlled by research institutions and community service (LPPM). The amount of activity that cause a lot of problems in the management, storage and delivery of information. Besides the need for information about the activities of research, publications and community service are indispensable in conditions of rapid and high degree of accuracy of the information. To overcome these problems will require a management information system used to manage, store and disseminate information. The method used in the creation and development of this application using the waterfall model. The use of the waterfall model of software development is intended to get maximum results. While testing is done using black-box testing. Results of the black-box testing found that all the components used in the process of interaction can operate in accordance with a design that has been planned. So that the management information system of research, publications and community service can be used in managing the activity college.

Iris recognition analysis using biorthogonal wavelets tranform for feature extraction

Human iris has a very unique pattern which is possible to be used as a biometric recognition. To identify texture in an image, texture analysis method can be used. One of method is wavelet that extract the image feature based on energy. Wavelet transforms used are biothogonal types, i.e. Haar and Daubechies. In this research, iris recognition based on Haar and Daubechies was done and then comparison analysis was conducted for which some conclusions taken. Some steps have to be done in the research. First, the iris image is segmented from eye image then enhanced with histogram equalization. The method used for extracting features are Haar and Daubechies (i.e. db5) wavelets transform. The features obtained is energy value. The next step is recognition using normalized Euclidean distance. Comparison analysis is done based on recognition rate percentage with two samples stored in database for reference images. As the result, the highest recognition rate is achieved using Haar with decomposition level 3 i.e. 84.375%, for which the highest recognition rate of db5 is 68.75% with decomposition level 2. The lowest recognition is achieved when db5 used with decomposition level 1, i.e. 38.231%, whereas the lowest recognition rate using Haar is 68.75% with decomposition level 1.

Designing online mobile medical records in obstetrics-gynecology subsystem

The needs for better and faster medical service has force us to create a system that able to serve it. Nowadays, there are many medical records applications have been developed to serve the needs, but most of them still handle the needs in common management of a hospital or medical institution, whereas the subsystems are also needed to be handled even more detail. Having these needs, we need to develop a system that serves the necessities in parted ways to improve the quality of the service. In this paper, we develop not only a web-based, but also a mobile-based medical records system which handle the necessities in obstetrics-gynecology subsystem. A mobile-based system has been chosen, so it can be accessed from everywhere without decreasing the systems requirements. We develop a medical records system which can handle the necessities of a hospital or medical institution not only in common management, but also the needs for the subsystems which can be accessed from everywhere.