Jurnal Online Informatika
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Kansei Engineering in Designing Web-Based e-Commerce UMKM Product
Get PDFHuman-Computer Interaction (HCI) is a part of the development of a system in addition to the usability factor. Several methods were developed in HCI to produce a User Interface design that persuasively attracts the user’s interest. One of these methods was Kansei Engineering which involved psychological factors and user emotions in the stage. The study focused on developing the e-commerce User Interface for UMKM products which based on how to maximize the service and quality of e-Commerce because so far the development of the web-based UMKM e-Commerce product user interface has not paid attention to psychological factors. The Research followed Kansei Engineering Type 1 (KEPack) with the stages: (1) Research Initiation, (2) Collecting Kansei Words (KW), (3) Translating KW into SD scale, (4) Collecting Specimens, (5) Classifying Item / Category Specimens, (6) Evaluating Questionnaire Participants’ Data, (7) Multivariate Statistical Analysis, (8) Translating Statistical Data into Design Elements, (9) Creating Guideline Matrix Kansei Engineering. This study involved 40 participants, 20 Kansei Words, and ten specimens of UMKM e-Commerce products. The final result is the Kansei e-Commerce matrix guideline for web-based UMKM products, which had two main concepts, they were complexity consisting of formal, natural and simple emotion factors; and Uniqueness consisting of Comfortable, Soft, and Unique which consists of 8 main parts which divided into 65 design elements. The contribution of this Research in the informatics area is to provide recommendations for the appearance of web-based UMKM e-Commerce products based on the psychological factors of the user through the Kansei Engineering Stages
Two-stage Gene Selection and Classification for a High-Dimensional Microarray Data
Get PDFMicroarray technology has provided benefits for cancer diagnosis and classification. However, classifying cancer using microarray data is confronted with difficulty since the dataset has high dimensions. One strategy for dealing with the dimensionality problem is to make a feature selection before modeling. Lasso is a common regularization method to reduce the number of features or predictors. However, Lasso remains too many features at the optimum regularization parameter. Therefore, feature selection can be continued to the second stage. We proposed Classification and Regression Tree (CART) for feature selection on the second stage which can also produce a classification model. We used a dataset which comparing gene expression in breast tumor tissues and other tumor tissues. This dataset has 10,936 predictor variables and 1,545 observations. The results of this study were the proposed method able to produce a few numbers of selected genes but gave high accuracy. The model also acquired in line with the Oncogenomics Theory by the obtained of GATA3 to split the root node of the decision tree model. GATA3 has become an important marker for breast tumors
Lossless Text Image Compression using Two Dimensional Run Length Encoding
Get PDFText images are used in many types of conventional data communication where texts are not directly represented by digital character such as ASCII but represented by an image, for instance facsimile file or scanned documents. We propose a combination of Run Length Encoding (RLE) and Huffman coding for two dimensional binary image compression namely 2DRLE. Firstly, each row in an image is read sequentially. Each consecutive recurring row is kept once and the number of occurrences is stored. Secondly, the same procedure is performed column-wise to the image produced by the first stage to obtain an image without consecutive recurring row and column. The image from the last stage is then compressed using Huffman coding. The experiment shows that the 2DRLE achieves a higher compression ratio than conventional Huffman coding for image by achieving more than 8:1 of compression ratio without any distortion
Reactive Forwarding and Proactive Forwarding Performance Comparison on SDN-Based Network
Get PDFSoftware-defined networking (SDN) technology is one key technology in telecommunications networks that are currently widely studied. In SDN-based networks, the controller holds the key to the reliability of a network because all control functions are held by the controller as one of the open-source controllers, the Open Network Operating System (ONOS) has two forwarding mechanisms, namely reactive forwarding, and proactive forwarding. This study compares performance between reactive forwarding and proactive forwarding on ONOS with VM migration as traffic. The parameter measured is the total migration time using simple network topology. From the test results, the proactive forwarding scenario can optimize the fastest potential of the topology tested by using the path that has the largest bandwidth available on the network topology. In comparison, reactive forwarding can only pass through the smallest hops of the tested topology. From the measurement results, the average migration time performance using a proactive forwarding scenario is 36.16% faster than the reactive forwarding scenario
Security Scanner For Web Applications Case Study: Learning Management System
Get PDFIn software engineering, web applications are software that are accessed using a web browser through a network such as the Internet or intranet. Web applications are applications that can be relied on by users to do many useful activities. Despite the awareness of web application developers about safe programming practices, there are still many aspect in web applications that can be exploited by attacker. The development of web applications and the Internet causes the movement of information systems to use them as a basis. Security is needed to protect the contents of web applications that are sensitive and provide a safe process of sending data, therefore application security must be applied to all infrastructure that supports web applications, including the web application itself. Most organizations today have some kind of web application security program or try to build/ improve. But most of these programs do not get the results expected for the organization, are not durable or are not able to provide value continuously and efficiently and also cannot improve the mindset of developers to build/ design secure web applications. This research aims to develop a web application security scanner that can help overcome security problems in web applications
Load Balancing Network by using Round Robin Algorithm: A Systematic Literature Review
Get PDFThe use of load balance on a network will be very much needed if the network is an active network and is widely accessed by users. A reason is that it allows network imbalances to occur. Round Robin (RR) algorithm can be applied for network load balancing because it is a simple algorithm to schedule processes so that it can provide work process efficiency. Authors use the Systematic Literature Review (SLR) method in which it can be applied for criteria selection during papers search to match the title being raised. SLR is divided into five stages, namely formalization of questions, criteria selection, selection of sources, selection of search results, and quality assessment. By using SLR, it is expected that papers according to criteria and quality can be found
A Middleware Framework between Mobility and IoT Using IEEE 802.15.4e Sensor Networks
Get PDFIn this paper, we propose a mobility framework for connecting the physical things in wireless ad hoc sensor networks. Our area of study is the internet of things by using an ad hoc sensor network. Our purpose in this study is to create a mobility framework for the internet of things. For example- how we connect many physical objects and give them a sense of sensing each other in an ad hoc environment. We can connect different physical objects in a framework of an ad hoc sensor network. Our main contribution is a new methodology for simulating mobility physical objects for the internet of things. Our methodology uses the correct and efficient simulation of the desired study and can be implemented in a framework of ad hoc sensor networks. Our study will generate a new framework for solving the issue of connectivity among physical objects. The proposed mobility framework is feasible to run among physical objects using the ad hoc sensor network
Prediction of Indonesian Inflation Rate Using Regression Model Based on Genetic Algorithms
Get PDFInflation occurs where there is an increase in the price of goods or services in general and continuously in a country. Uncontrolled inflation will have an impact on the decline of the Indonesian economy. Therefore, the prediction of future inflation levels is necessary for the government to develop economic policies in the future. Prediction of inflation levels can be done by studying historical past Consumer Price Index (CPI) data. Regression methods are often used to solve prediction problems. The problem of finding the optimal prediction model can be seen as an optimization problem. Genetic algorithms are often used to deal with optimization problems. Thus, this work proposed to use a genetic algorithm-based regression model for predicting inflation levels. The model was trained and evaluated using real CPI data which obtained from the Indonesian Central Bank. Based on the experiment, it is proved that the proposed model is effective in predicting the inflation level as it gains MSE of 0.1099
The Development Of Learning Media For Mobile Learning Application The Language And Automata Theory On Finite State Automata (FSA) And Deterministic Finite Automata (DFA) Material Use Adobe Air for Android
No full textThe language and automata theory are which required course must implemented by college student in informatic engineering study program. In this course, there are finite state automata (FSA) and deterministic finite automata (DFA) which are important materials in language and automata theory. This material requires more understanding of mathematical logic from students to determine an input which can be accepted or rejected in an abstract machine system. The assist students to understand the material, it is need to develop the learning media for mobile learning applications for language and automata theory on finite state automata (FSA) and deterministic finite automata (DFA) based on android as an evaluation of learning media for students. And the development of this learning media use the ADDIE development model (analysis, design, development, implementation, evaluation) to design language and automata theory applications learning so can be support the learning process for students and then assist lecturer to explain the material more dynamic and applicative.The language and automata theory is who student required course must to implement in informatics engineering study program. In this course, there are finite state automata (FSA) and deterministic finite automata (DFA) which are important materials in language and automata theory. This material requires more understanding of mathematical logic from students to determine an input which can be accepted or rejected in an abstract machine system. The assist students to understand the material, it is need to develop the learning media for mobile learning applications for language and automata theory on finite state automata (FSA) and deterministic finite automata (DFA) based on android as an evaluation of learning media for students. And the development of this learning media use the ADDIE development model (analysis, design, development, implementation, evaluation) to design language and automata theory applications learning so can be support the learning process for students and then assist lecturer to explain the material more dynamic and applicative
Knowledge Management System for Railway Supply Chain Perspective
Get PDFKnowledge Management System (KMS) is a monitoring system that emphasizes the desired and actual performance of an industry. Aligning KMS to viably execute the Railway Industry methodology and supply chain operations utilizing legitimate knowledge management capabilities. Yet KMS controls the planning and priorities through action controls that emphasize on operational control level, result controls toward the strategic planning level, personnel controls on retaining the right operation with the right skills, and transaction control on the accurate and complete legal transactions for ensuring strategic management. Therefore, we have come up with a dynamic KMS for the Railway Supply Chain context that focuses on operational, tactical, and strategic perspectives on the information sources, value, analytics, and requirement for current and future drivers of an industry perspective. Moreover, this KMS aims to redesign the Information System by promoting a reductionist approach to problem-solving and best decision-making practices within an industry context