Harco Leslie Hendric Spits Warnars

Software size measurement of knowledge management portal with use case point

Knowledge Management portal is a system to support Knowledge Management process, in order to create, capture, develop, share, reuse and optimize the knowledge and particularly in Bina Nusantara University which has implemented Knowledge Management System (KMS) since 2002. However, this KMS need to be measured in order to know how better this KMS in term of the software size. The BINUS KMS will be measured in term of their software size in functionality perspective with use case point method. This metric of KMS will be used by management to know how better the software size, complexity level and effort to development in numbering. Measurement of software size with software metric such as Use Case Point upon use case diagram for BINUS knowledge Management Portal shows that the project has medium software size with score Use Case Point (UCP) = 108.56 and has estimate effort will be developed in 2,064 hours (or in 258 days or 51.6 weeks or 12.9 months) and has development cost for 516,000,000.00 rupiah (Indonesian currency). Use Case Point, estimate effort and project value will powerful to help management in order to make decision regarding the implementation of IT software project development in term of time, money and people.

Perfecting a Video Game with Game Metrics

A state of a perfect video game is what developers has been seeking for their product developments, to achieve the selected state, several standards and methods needs to be applied. These standards and methods are special: they are both verifiab le and quantifiable, to make their action and end goal a clear one, the terms for this standards and methods are called ‘game metrics’ and we decided that this is a must-have tool or method to be implanted in a development of a game because it will boost your standards rapidly and will be able to tell you about your own progress of the development.

Matchmaking Problems in MOBA Games

Received May 20, 2018 Revised Jun 21, 2018 Accepted Jun 25, 2018 RFID technology is a Radio frequency identification system that provides a reader reading the data item from its tag. Nowadays, RFID system has rapidly become more common in our life because of its autonomous advantages compared to the traditional barcode. It can detect hundreds of tagged items automatically at a time. However, in RFID, missing tag detection can occur due to signal collisions and interferences. It will cause the system to report incorrect tag’s count due to an incorrect number of tags being detected. The consequences of this problem can be enormous to business, as it will cause incorrect business decisions to be made. Thus, a Missing Tag Detection Algorithm (MTDA) is proposed to solve the missing tag detection problem. There are many other existing approaches has been proposed including Window Sub-range Transition Detection (WSTD), Efficient Missing-Tag Detection Protocol (EMD) and Multi-hashing based Missing Tag Identification (MMTI) protocol. The result from experiments shows that our proposed approach performs better than the other in terms of execution time and reliability.Received May 1, 2018 Revised Jun 21, 2018 Accepted Jun 28, 2018 The diagnosing features for Diabetic Retinopathy (DR) comprises of features occurring in and around the regions of blood vessel zone which will result into exudes, hemorrhages, microaneurysms and generation of textures on the albumen region of eye balls. In this study we presenta probabilistic convolution neural network based algorithms, utilized for the extraction of such features from the retinal images of patient’s eyeballs. The classificat ions proficiency of various DR systems is tabulated and examined. The majority of the reported systems are profoundly advanced regarding the analyzed fundus images is catching up to the human ophthalmologist’s characterization capacities.Received Nov 25, 2017 Revised Jan 9, 2018 Accepted May 27, 2018 The usage of multilevel inverter has increased in a drastic manner for the past years. These novel inverters are useful in various mega power applications. As they are having the ability to change the output waveforms, they are having good harmonic distortions and better output results. This work proposes a novel five level asymmetrical inverter which is incorporated with the zeta converter. Comparison is made with the existing multilevel inverter with the proposed system. The simulation results give the proposed system has less THD [1] when compared to the existing multilevel inverters. The main objective is that the number of switches and capacitors are reduced which in turn reduces the loss and the cost. From the output results is has been proved that the proposed topology gives reduced loss and high quality output when compared with the conventional methods.Received Dec 26, 2017 Revised Jan 09, 2018 Accepted May 26, 2018 Evolutionary Algorithms (EAs) are the potential tools for solving optimization problems. The EAs are the population based algorithms and they search for the optimal solution(s) from a initial set of candidates solutions known as population. This population is to be initialized at first before the evolution of the algorithm starts. There exists different ways to initialize this population. Understanding and choosing the right population initialization technique for the given problem is a difficult task for the researchers and problem solvers. To alleviate this issue, this paper is framed with two objectives. The first objective is to present the details of various Population Initialization (PI) techniques of EAs, for the readers to give brief description of all the PI techniques. The second objective is to present the steps and empirical comparison of the results of two different PI techniques implemented for Differential Evolution (DE) algorithm. Theoretical insights and empirical results of the PI techniques are presented in this paper.Received May 23, 2018 Revised Jun 21, 2018 Accepted Jul 2, 2018 Smoothing filters are essential for noise removal and image restoration. Gaussian filters are used in many digital image and video processing systems. Hence the hardware implementation of the Gaussian filter becomes a reliable solution for real time image processing applications. This paper discusses the implementation of a novel Gaussian smoothing filter with low power approximate adders in Field Programmable Gate Array (FPGA). The proposed Gaussian filter is applied to restore the noisy images in the proposed system. Original test images with 512x512 pixels were taken and divided in to 4x4 blocks with 256x256 pixels. The proposed technique has been applied and the performance metrics were measured for various simulation criteria. The proposed algorithm is also implemented using approximate adders, since approximate adders had been recognized as a reliable alternate for error tolerant applications in circuit based metrics such as power, area and delay where the accuracy may be considered for trade off.Muhammad Farrel Pramono 1 , Kevin Renalda 2 , Harco Leslie Hendric Spits Warnars 3 , Dedy Prasetya Kristiadi 4 , Worapan kusakunniran 1,2 Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia 11480 3 Computer Science Department, BINUS Graduate Program-Doctor of Computer Science, Bina Nusantara University , Jakarta, Indonesia 11480 4 Computer Systems, STMIK Raharja, Tangerang Banten, Indonesia 15119 Faculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, ThailandSoft Computing and Data Mining Centre, Faculty of Computer Sciences and Information Technology, Universiti Tun Hussein Onn Malaysia Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Karung Berkunci 01, 16300, Bachok, Kelantan, Malaysia School of Industrial Engineering, Telkom University, 40257 Bandung, West Java, Indonesia Laboratory of Biodiversity and Bioinformatics, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Pahang, Malaysia Department of Software Engineering & Information System, Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), 43400 Selangor, Serdang, MalaysiaReceived Mar 19, 2018 Revised May 20, 2018 Accepted Jun 3, 2018 Kinect-based physical rehabilitation grows significantly as a mechanism for clinical assessment and rehabilitation due to its flexibility, low-cost and markerless system for human action capture. It is also an approach to provide convenience for for patients’ exercises continuation at home. In this paper, we discuss a review of the present Kinect-based physiotherapy and assessment for rehabilitation patients to provide an outline of the state of art, limitation and issues of concern as well as suggestion for future work in this approach. The paper is constructed into three main parts. The introduction was discussed on physiotherapy exercises and the limitation of current Kinect-based applications. Next, we also discuss on Kinect Skeleton Joint and Kinect Depth Map features that being used widely nowadays. A concise summary with significant findings of each paper had been tabulate for each feature; Skeleton Joints and Depth Map. Afterwards, we assemble a quite number of classification method that being implemented for activity recognition in past few years.Received May 9, 2018 Revised Jun 2, 2018 Accepted Jun 21, 2018 As the cloud computing is gaining more user base the problem of simultaneously catering computational resources to multitude of users or their application is on rise. It remains a critical problem and pose hindrance in scalability of cloud computing. Thus, in order to layout the proper solution for the mentioned problem; it is necessary to sum up a proper knowledge based of the existing solution, there drawbacks and a detail analysis of its performances. In this study we present a review of multi-tenant frameworks and approaches used in the industry which reaps advantages to facilitate multi-tenancy.

Quality measurement of android messaging application based on user experience in Microblog

There are many options of android messaging application which give opportunity to user in order to choose which one as best or famous android messaging application and make it become suitable for them. Usually, people used to look at the information about best or famous android messaging application by texting in search engine such as google and get some link information from user/blogger reviews, and based on that reviews they will make decisions which one as suitable for them. We proposed the other way how to measure the quality of each android messaging application based on user experience which they text in Microblog such as Twitter. The unstructured data in the Microblog will be processed with 2 operators for sentiment analysis method in RapidMiner such as AYLIEN and ROSETTE. AYLIEN sentiment analysis has 3 categories such as positive, negative, and neutral, whilst ROSETTE sentiment analysis has 2 categories such as positive and negative sentiments. Finally, the finding sentiment analysis with these 2 operators will be compared with PlayStore review.

Object oriented metrics to measure the quality of software upon PHP source code with PHP_depend study case request online system application

Nowadays, a company should be equipped with information technology and one of them is business application either web based or non web based which is built with object oriented programming in order to help the management to run their daily business processes. In order to supports a company with best excellent software applications then we need to make sure the quality of software application in term of easy to maintenance, understandability, reusability and so on. In term to measure the quality of software, there are many software metrics applications either free or proprietary which can be downloaded on Internet and one of them is PHP_depend. PHP_depend is software metrics which measure the quality of software based on PHP source code, by taking the PHP source code and parses it into Abstract Syntax Tree (AST). This paper will investigate how to measure quality of software based on PHP source code with PHP_depend software metrics. The investigation will examine codes from Request online system application which supports improvement or update request upon SAP application in Astra Graphia Information Technology PT. The measurement will be assessed based on metrics which is categorized into project, package, file, class and methods.

Software quality model for Internet of Things governance

Despite the growth of the implementation of the Internet of Things (IoT) in the last decade, the IoT still continues to rise. In 2020 there will be an estimated 50 billion devices connected to the IoT. A crucial factor is the quality of service through quality governance software of IoT. The various traditional approaches of measuring the quality of software needs to be improved and adapted to the characteristics of the IoT. This study aims to provide an overview of software quality model for IoT based on ISO/IEC 25010 and information quality attributes of COBIT 4.1. Through literature review approach, we found the mapping and relationship between IoT characteristics and quality characteristics of software based on the quality of information. These results will be used as a basis for formulating the governance framework of IoT.