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Contact Name
Hendra Kurniawan
Contact Email
hendra.kurniawan@darmajaya.ac.id
Phone
+6281230309997
Journal Mail Official
srilestari@darmajaya.ac.id
Editorial Address
https://jurnal.darmajaya.ac.id/index.php/icitb/about/editorialTeam
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Kota bandar lampung,
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INDONESIA
Proceeding International Conference on Information Technology and Business
ISSN : 24607223     EISSN : -     DOI : -
Core Subject : Economy, Science,
Proceeding International Conference on Information Technology and Business is a series of one-year international conferences organized by the Informatics and Business Institute Darmajaya, with local and international partners. The conference will provide a unique opportunity for the productive exchange of interdisciplinary ideas in the fields of computer science and business economics among participants from industry, research institutes, academia, government and policymakers.
Arjuna Subject : Umum - Umum
Articles 58 Documents
Search results for , issue "2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3" : 58 Documents clear
HR Development And Compensation Development Strategy On The Satisfaction Of Work And Its Impact On Employee Performance Nova Mardiana; Andi Desfiandi; Ardanta Istari
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Based on the performance measurement, the 2016 Performance Indicator agreed between the Director General of Health Efforts Development of Ministry of Health and the President Director of Abdul Moeloek Hospital has not fully achieved the set target. The authors suspect that the target is not achieved is due to lack of performance and employee job satisfaction. This is the impact of the management of human resource management that is allegedly less targeted, especially in the areas of human resource development and employee compensation is not appropriate. This research is survey with Path analysis. Functional employee of General Hospital. Abdul Moeloek numbered 669 employees. Samples taken by 250 respondents. The conclusion of this research is that the research support the proposed hypothesis, that is (1) there is relationship of human resource development and compensation to the employees, (2) there is influence of human resources development and compensation partially to employee job satisfaction, (3) the influence of human resource development and compensation simultaneously on job satisfaction of employees of RSAM, (4) there is influence of job satisfaction on RSAM employee performance. Suggestion from this research is employee development must be done continuously according to employee requirement and compensation in the form of remuneration succeed to improve job satisfaction and employee performance, therefore must be maintained.Keywords: Human Resource Development, Compensation, Job Satisfaction and Employee Performance.
Face Recognition of Robust Regression With Pre-processing Technique using CLAHE technique Budi Nugroho
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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One of face recognition method that has been developed to overcome the problem of illumination variation is the Robust Regression. This method uses the Histogram Equalization technique in the pre-processing stage, which is used to reduce the effects of illumination factors on face images. The results of previous research show the face recognition performance of the Robust Regression method (which uses Histogram Equalization technique in the pre-processing stage) is very high. In this research, the Contrast-limited Adaptive Histogram Equalizaton (CLAHE) technique will be used in the pre-processing stage to replace the Histogram Equalization technique. The research was conducted to find out how the effect of pre-processing technique changes on face recognition performance. The empirical experiment was conducted using one of the standard face database data i.e the Extended Yale Face Database B. Based on the experimental results, the average accuracy of face recognition where in the pre-processing stage using the CLAHE technique is 98.06%. This result is better than face recognition performance using the Histogram Equalization technique at the pre-processing stage, where the average accuracy of facial recognition is 96.17%. Keywords: Face Recognition, Robust Regression, Contrast-limited Adaptive Histogram Equalizaton, and Extended Yale Database B.
Effect of Profitability, Size And Debt Policy To Company Value (Study on Business-27 Company Listed On BEI) Ary Meizari; Tri Okta Viani
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Firm Value is influenced by the financial performance of a company. Financial performance is reflected by stock prices and shown in a good performance as well as how the company uses its assets to get maximum profit. The purpose of this study wasto determine the impact of profitability, size, and debt policy to firm value on companies in business27 index at the Indonesia Stock Exchange. The analysis of the data used in this research was multiple linear regression. The result showed that the profitability had significant effect on value of firm. The size had significant effect on firm value. The debt policy had significant effect on firm value. The F test results showed that Profitability, Size and Debt Policy had significant effect on firm value at the companies in business27 index atthe Indonesia Stock Exchange. Keywords: Profitability, Size, Debt Policy, andCorporate Value.
Comparison Of Streaming Performance Using Htlm5 And Flash Player Version 23 Chystia Aji Putra; Henni Endah Wahanani
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Sending information through streaming video is better than text or voice. One type of streaming multimedia is video on demand (vod) which is a multimedia service with streaming process. Streaming video on vod requires wide bandwidth for maximum transmitted data rates. Some say comparing html5 vs flash is like comparing apples and oranges. Html came up with their newest specification called html5 a few years ago. Html5 natively supports on demand and live video streaming sources. Adobe flash, on the other hand, has been the only way to let rich audio and video content run on the web for more than a decade. This research will compare between html5 and flash player. This research will simulating file package transfering scenario which is file size 144p, 240p, 360p, 480p, 720p. Simulation is using mikrotik as a bandwidth management on network. In this research, performance will compared to quality of service (qos) using wireshark. Simulation is done with 100 mb file packet delivery scenario. Results of research will get the performance value of streaming video using html5 and flash player. Analysis includes time span, troughtput, delay, using wireshark. The comparison will be obtained differences in vod performance between html5 and flash player.  Keywords : Streaming Performance, HTML 5, and Flash Player.
An Analysis of theComparative Method of Classificationin Determining Characteristics of Non-Active Students Fitra Luthfie Averroes; Jaka Fitra; Sriyanto -
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Classification is a data mining technique that aims to know the data model being used. By using a data mining classification technique, we can classify existing information into their classes. Classification methods can also be applied in education, for example to group active and inactive students into higher education programs, and classify them based on their characteristics. This paper presents a comparison of several classification methods, which are: Naïve Bayes, k-NN and C 4.5. This paper uses the data from the inactive students of AMIK DCC campus C on 2013-2016 periods as the criteria to evaluate the group performance. The inactive students are divided into three groups: first-year, first-two-years, and three years inactive students. The results of this study indicate that the Bayes naive method provides higher accuracy than k-NN and C 4.5. The accuracy classification is Naïve Bayes 79.22%, while k-NN and C 4.5 are 77.21% and 74.94%, respectively.Key word: Decision Tree; C4.5; classification; Naïve Bayes; AMIK DCC Campus C
Simulation of Activity Coefficient System Ternary in Acetone Buthanol Ethanol with Uniquac Equation Sari Ni Ketut; Dira Ernawati
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Simulation of activity coefficients ternary systems using matlab programming language, which results in the appearance of the graph using a spreadsheet tool, less effective and efficient, so it is necessary for the visualization of object-oriented programming language, in addition to easy to be developed at a time when that will come, it has other benefits, in a device project software can use a variety of programming language that supports object-oriented programming, such as C#.Net and VB.Net. This research aims to display the batch distillation simulation of visual binary systems using object-oriented programming. Ethanol buthanol ethanol non azeotropic ternary system, simulation of activity coefficients with rigorous method using a model Differential-Algebraic-Equations (DAEs), where the completion of the model using the language C#.Net, the basic concepts of object-oriented programming consists of classes, objects, abstraction, encapsulation, polymorphism. Antoine parameter data and activity coefficients derived from experimental data. Dimension less time and pressure are set constant, while the variable composition liquida. Profile of liquida composition and vapor composition function dimensionless can be displayed directly from the desktop, to have the non azeotropic ternary system value profile activity coefficient is not equal to one, while the ternary system non azeotropic approaching one. Profile of liquida composition and vapor composition maximum from ternary system non azeotropic is 0.98, while for the ternary system non aeotropic approaching one. Economically using C#.Net language faster, time efficiency and better performance profile. Keywords: Activity coefficients, C#.Net, DAEs, rigorous method, ternary systems
IKiS Self Service Kiosk for Library Service Mardiana -; Meizano Ardhi Muhammad
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Institutional Repository (IR) Digital Collections in Unila Library is a restricted access collection, it is not directly accessible for users. Transactions such as whole collection information retrieval, printing and payment can be made only through librarians. Sometimes it leads to slow services due to the number of transaction requests queues from users. There were no system or device such as Kiosk that can be used independently for such purposes to minimize or even eliminate queue for librarians. Purpose of this research is to develop a KiosK self-contained system called Interactive Kiosk System (IKiS). IKiS serves for searching, accessing information as well as for self-printing transactions in Unila Library. IKiS hardware development uses hardware interface for input (barcode reader) and output (printer). IKiS casing made in accordance with the size and layout of the device as well as considering user ergonomics. Prototype method used for software development which focuses on functionality and user ergonomic. Data source retrieved from existing system data library which are IR collection on Eprints, ebook collection and ejournal collection on SLiMS. API (Application Programming Interface) is developed for transaction between data source to IKiS software. Testing is done on hardware, software, and both as a whole unit. Based on the test results, IKiS Print Mandiri can work well and meet the functionality required by Unila library. The research succeeded in realizing KiosK's self-service printing system tested on IR Library collection users of Unila Library. Use of the Web Service API and common computer tools make IKiS Independent Print agnostic against the IR Digital Collection system. This provides an opportunity for adoption on a wider scale as an improvement of services in the Library in general.Keyword: Index Terms—e-Kiosk, Institutional Repository, Library Services, Self-service Printing
Introduction of Face Image as Identifier of Using in Principal Component Analysis Method (PCA) Wawan Krisdiyanto; Ika Irwanto; Lepi Astra Yudiansyah; Suhendro Yusuf Irianto
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Face recognition is a person identification system that uses a person’s facial characteristics. Facial recognition is itself a branch of biometrics, which is a science that uses physical characteristics of a person to determine or disclose his identity. The system developed in this thesis is a system that uses face recognition feature extraction based on Principal Component Analysis (PCA). This technique involves taking a major component of facial database. To determine the accuracy of human face recognition system designed in this final project, has conducted trials using the system with as many as 60 input facial image of the database. From the results of testing this system, the result is a 80% system performance in recognizing the input image correctly.Keywords : Facial Recognition, biometrik, PCA.
Performance Analysis Of Failover Cluster For System Recovery Henni Endah Wahanani; Sugiarto -
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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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 Vmware's 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.
CUSTOMER RELATIONSHIP MANAGEMENT APPLICATION SERVICES (CRM) FOR STUDENT ACTIVITY INFORMATION ON UNIVERSITIES (Case study : IBI DARMAJAYA) Sri Karnila; Muhamad Galih Ramaputra; RZ Abdul Aziz
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Information services application for students, is one of the form of loyalty from Universities to the students to be active and not left behind in existing information. Student information services previously informed through wall magazine, banner or brochures, this has not been delivered properly and didn't have any activities data either extracurricular activities or intracurricular activities.  Regarding to all interested parties in IBI Darmajaya especially give best service to the student hence the importance of a Customer Relationship Management (CRM) Application to increase the flow of information needed by students, increasing student interest in every activity, having a database of the most interested activities and to accommodate IBI Darmajaya's interest. The data used in this research is all the activities information in the student affair, processed through Rational Unified Process (RUP) method with four phases done in sequence and iterative where each iteration can be used to fix iteration with visual programming language, hence resulting a well produced CRM application for information services. Keywords : CRM Application, Information,  and SDLC.