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Disease Diagnosis Using Tongue Image Analysis Zulfadli, Yogi; Verdian, Arry; Mamur, Muhammad
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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The tongue is an important part of human body to taste, speak and swallow the food. It reflect the inner working of body. Any kind of unusual behavior of body is reflected through tongue like problem in stomach, pancreas, liver and intestines etc. So in this paper, we are proposing automatic computer based technique to analyze the changes in tongue, which will be latter useful in diabetes diagnosis in patients. The main focus of our paper deals threshold of tongue signs for diagnosis the diseases. The sign classifies the tongue irregular shape, overlapping of colors, saliva on cracks, buds, pimples etc. Each signs have unique character reflections and issues. This sign factor consists of several phases; quantitative features texture measures for tongue image acquisition by using image processing and crack segmentation.Key Word: automatic computer based, threshold, image acquisition

M-LEARNING APPLICATION FOR COMPUTER NETWORKING SUBJECTS Syahputri, Rahmalia; Nurfiana, Nurfiana; Fernando, Ilham
Prosiding International conference on Information Technology and Business (ICITB) 2016: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 2
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Nowadays, mobile application, called mobile learning, is widely used among academic staff to help them in the process of teaching and learning at university. This research proposed the use of mobile learning in computer network subjects, particularly computer network and security, to facilitate the ease of access to the source of material and evaluation. Based on the questionnaire that distributed to the students, 75% respondents found this application is easy to use, attractive, and helping them to understand the content of subjects.Â Â KEY WORDS:Â Mobile learning, teaching media, networking subjects

Customer Value And Customer Satisfaction As Mediation Of Mis And Service Quality To Brand Trust And Reputation Of Private Universities In Kepulauan Riau Province Husda, Nur Elfi
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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his study aims to test and analyze brand trust and reputation variables of private universities from the aspects that influence the Management Information System (MIS), service quality, customer value and customer satisfaction. Structural Equation Modeling is used to find out the conceptual model of brand trust and reputation of private universities. The population of this study are students from the study program of private university management in Kepulauan Riau Province in 2016 who have used Academic Information System and B accredited that is 3,513 students. The sample size is 360 which is distributed proportionally at each location at each private University. The results showed that the better the MIS in the college will be the better the college in students value, but good or bad the existing MIS does not determine the satisfaction or dissatisfaction of students to services provided by the university. Better service quality will make students satisfied and add good grades of college in students value. If the better the value of college for the students will further increase the students trust toward the good name of the college and improve the reputation of the college for the students. The more satisfied of student will be satisfied for the services provided will also brand of trust of the college and improve the reputation of the college. Study of brand trust and reputation of the college that is influenced by Management Information System, the quality of service with customer value mediation and customer satisfaction variables is still infrequent, so with the present research can give a positive contribution to the development of private universities and to further improve the quality of universities high private sector in producing graduates who excel and competitiveness, especially with state universities.Â KeywordS : Brand Trust, MIS, Private Universities, Service Quality, and Reputation

Performance Analysis Of Failover Cluster For System Recovery Wahanani, Henni Endah; -, Sugiarto
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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The need for up-to-date information systems encourages web server service providers to build systems with high availability. One who needs it is the Online Shop Business and large-scale companies. The technique that can be used is implementing server clustering. Cluster Server is a technology that combines several resources that work together so that it looks as though a single system. Cluster technique that can be used to provide a system with high availability that is failover cluster. In this study, the failover cluster system was built using the VMware provided Vmwares FmFL failover feature. Failover cluster built consists of three physical servers with Vmware ESXi operating system. One server is used as data traffic monitoring and Shared Storage while two servers are used as nodes of the Failover Cluster which will be used to run the Guest OS. Each node in the Failover Cluster will be tested using a System Failure Scenario created based on potential interruptions in the company. Parameters measured in this study are Availability and Network Utilization. The Availability trial results performed using Vmware features called Vmware Fault Tolerance can generate a 94.44% Availability Value for 7 System Failure Scenarios. The Network Utilization value of 13,041.54% was obtained when the failover occurred between nodes in failure scenarios performed in a row.Keywords: Failover Cluster, Availability, and Utilization.

TRACER STUDY SYSTEM PORTAL-BASED SOCIAL NETWORK TO OPTIMIZE DATA COLLECTION ON HIGHER EDUCATION GRADUATES Marisa, Fitri; Efendi, Dedi Usman; Mumpuni, Indah Dwi
Prosiding International conference on Information Technology and Business (ICITB) 2016: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 2
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Background: Universities need to conduct data searches to graduate. This data can be used in a variety of needs. A media needed to connect between the faculty graduates or graduates with other graduates so that they can be interconnected. But it is constrained because most colleges difficulty in recruiting alumni data despite already done in various media. It is necessary for a more effective alternative media for support in collecting data of graduates. Method: The design of the portal using social network approach. So the first step is to design the parent website Tracer Study focus to accommodate the main data ofÂ graduates who are equipped with an interactive community features. Prototype portal tested and evaluated based on benchmarks dynamic, informative, and communicative, further refined to achieve an increase in visitors in every time data is consistent with the conditions or no distortion. Conclusion: The results of this research is a tracer study portal with social network approach to be one of the alternative media to attract graduates to interact with the media, and also that benefits the institution of data collection becomes more optimal.KEY WORDSPortal, Tracer Study, Social Network, Website, Alumni.

Prediction Of Student Performance Using Decision Tree C 4.5 Algorithm Kuntoro, Rames Krisnan; Sudarwanto, Rukin; -, Sriyanto
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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This paper aims to make predictions of student achievement based on socioeconomic status of parents, student discipline and student achievement using data mining method with algorithm decision tree classifier C 4.5. For comparison, the research data were analyzed also with CHAID (Chi Squared Automatic Interaction Detection) and multiple regression. The research approach used is quantitative. The subject of this research is the elementary school students in SD Negeri 4 Trimulyo. Data collection techniques used are documented. The results of this study are very helpful for educational institutions to monitor the early improvement of student academic achievement, so that can be accompanied the learning process in order to achieve the expected performanceÂ Keywords: Data Mining, Classifier, Decision Tree, C45, CHAID, and Multiple Regression.

Symmetrical Face Images and Gamma Correction Technique for Face Recognition under Varying Illumination Puspaningrum, Eva Y; Nugroho, Budi; Istifariyanto, Andri
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Face recognition with various illumination is one of the most important challenges for practical face recognition systems. Under uncontrolled lighting condition is more significant than the physical characteristics of the individual face. The Impact of lighting uncontrolled lighting from the right and left side so that it can affect the face image. There are many studies on face recognition, but only little attention is paid toÂ Â face image is an axis-symmetrical objects. Few studies to explore and exploit the axis-symmetrical property of faces for face recognition are conducted. In this paper, we discuss the pre-processing method to solve one of the common problems in face images with lighting variations. We take the axis-symmetrical of faces then a gamma-correction process for pre-processing that will then be done by robust regression classification (RRC). Experimental results on Yale Face Database B 50x50 with illumination problems show that the proposed technique improves recognition accuracy especially in images with extreme lighting conditions using gamma correction parameter Î³ = 0.3.Â Keywords :Face Recognition, Symmetrical Face, Gamma Correction, and Various Illumination.

THE MAPPING OF ENGLISH LANGUAGE LEARNING PROBLEM (PBL)FOR PRIVATE HIGHER EDUCATION INSTITUTIONS IN BANDAR LAMPUNG Rahayu, Mieke -; Septarina, Linda; Magdalena, Betty
Prosiding International conference on Information Technology and Business (ICITB) 2016: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 2
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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This article discusses a mapping of problems of learning English encountered by students freshmen higher educations in Bandar Lampung. A set questionnaire which asked the learnersâ difficulties of learning English was distributed to 180 students fromÂ higher education institutions: IBI Darmajaya, Universitas Bandar Lampung, STKIP PGRI, DCC,UniversitasSaburai and UniversitasParamadinaMandiri.UniversitasTulangBawang. From 180 students recruited for the study, 165students responded to the questionnaire. The questionnaire consists of 40 item Likert-scale questions asking students difficulties in comprehending andÂ utilizing elements of pronunciaton, grammar, vocabular, functions, discourse and strategic in learning English.Â The results show that students encountered difficulties in pronunciations, vocabulary, function and strategic elements of English learning. Students did not encounter difficulties in discourse elements. This might be due to the fact that students got intensive trainings on discourse during their high school learning experiences.One of the implications of the study is a design of English course for higher education institutions in Bandar Lampung based the mapping of the problems encountered.Â Key words: mapping, Language Learning Problems, Higher Education institutions

The Future of Face Recognition Bin Ahmad, Muhammad Syafiq Asyraff
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Face recognition has gained popularity in pattern recognition for the future applications in the fields of commercial and law enforcement. It has significant attention due to availability of feasible technologies, including in mobile solutions. Research in automatic face recognition has been conducted since the 1960s, but the problem is still largely unsolved. Last decade has provided significant progress in this area owing to advances in face modelling and analysis techniques. Although systems have been developed for face detection and tracking, reliable face recognition still offers a great challenge to computer vision and pattern recognition researchers. There are several reasons for recent increased interest in face recognition, including rising public concern for security, the need for identity verification in the digital world, face analysis and modelling techniques in multimedia data management and computer entertainment. In this chapter, we have discussed face recognition processing, including major components such as face detection, tracking, alignment and feature extraction, and it points out the technical challenges of building a face recognition system. We focus on the importance of the most successful solutions available so far. The final part of the chapter describes chosen face recognition methods and applications and their potential use in areas not related to face recognition.Â Keywords: Face Recognition, Biometric Identification, Methods, Applications, Image Processing

DC Extraction Approach for Image Indexing and Retrieval Irianto, Suhendro Yusuf; Ali, Rionaldi
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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We propose a new simple method of DC feature extraction thatenables to accelerate the speed and decrease storage needed in image retrieving process by aim of partial Joint Photographic Experts Group (JPEG) compressed images algorithm. Our feature extraction is carried out directly from JPEG compressed images. We extract one feature of DCT coefficients which is DC feature only. By applying DC feature as indexing key, this method only need 1/64times required to construct indexing keys compared to conventional Euclidean distance method whilststill maintain high precision and recall.Â We also introduce a DCT coding category approach to justify this proposed method.Â After all, even though this method is not revolutionary and perfect yet in improving speed for image indexing,itvery significantly reducedthe cost of image retrieval in real applications, primarily for huge image databases.

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