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Journal of Information Technology and Computer Science
Published by Universitas Brawijaya
ISSN : 25409433     EISSN : 25409824     DOI : -
The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology, computer science, computer engineering, information systems, software engineering and education of information technology. JITeCS publishes original research findings and high quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementations and applications.
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Articles 11 Documents
Search results for , issue "Vol. 2 No. 2: November 2017" : 11 Documents clear
Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution Nababan, Merry Gricelya; Anggodo, Yusuf Priyo; Putri, Rekyan Regasari Mardi
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.232 KB) | DOI: 10.25126/jitecs.20172231

Abstract

The problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provision in this study. There is an algorithm that can solve this problem is Dempster-shafer (D-S), this algorithm has belief value that serves to determine the influence between symptoms. Belief value is obtained from experts, when there are new symptoms must have to ask the experts to know the value of belief, and takes time as well. So the Particle Swarm Optimization (PSO) algorithm will help generate and optimize the value of belief in D-S. PSO is able to produce optimal belief value. This research is to generate value belief D-S with PSO.
Rainfall Forecasting Using Backpropagation Neural Network Sihananto, Andreas Nugroho; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.659 KB) | DOI: 10.25126/jitecs.2017229

Abstract

Rainfall already became vital observation object because it affects society life both in rural areas or urban areas. Because parameters to predict rainfall rates is very complex, using physics based model that need many parameters is not a good choice. Using alternative approach like time-series based model is a good alternative. One of the algorithm that widely used to predict future events is Neural Network Backpropagation. On this research we will use Nguyen-Widrow method to initialize weight of Neural Network to reduce training time. The lowest MSE achieved is {0,02815;  0,01686; 0,01934; 0,03196} by using 50 maximum epoch and 3 neurons on hidden layer.
Scheduling Optimization For Extract, Transform, Load (ETL) Process On Data Warehouse Using Round Robin Method (Case Study: University Of XYZ) Berliantara, Agung Yudha; Wicaksono, Satrio Agung; Pinandito, Aryo
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.001 KB) | DOI: 10.25126/jitecs.20172232

Abstract

ETL scheduling is a challenging and exciting issue to solve. The ETL scheduling problem has many facets, one of which is the cost of time. If it is not handled correctly, it may take a very long time to execute and inconsistent data in very large data. In this study using Round-robin algorithm method that proved able to produce efficient results and in accordance with conventional methods. After doing the research, the difference between these two methods is about execution time. Through this experiment, the Round-robin scheduling method gives a more efficient execution time of up to 61% depending on the amount of data and the number of partitions used.
Optimization of Vehicle Routing Problem with Time Window (VRPTW) for Food Product Distribution Using Genetics Algorithm Pratama, Rayandra Yala; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.572 KB) | DOI: 10.25126/jitecs.20172216

Abstract

Food distribution process is very important task because the product can expire during distribution and the further the distance the greater the cost. Determining the route will be more difficult if all customers have their own time to be visited. This problem is known as the Vehicle Routing Problem with Time Windows (VRPTW). VRPTW problems can be solved using genetic algorithms because genetic algorithms generate multiple solutions at once. Genetic algorithms generate chromosomes from serial numbers that represent the customer number to visit. These chromosomes are used in the calculation process together with other genetic operators such as population size, number of generations, crossover and mutation rate. The results show that the best population size is 300, 3,000 generations, the combination of crossover and mutation rate is 0.4:0.6 and the best selection method is elitist selection. Using a data test, the best parameters give a good solution that minimize the distribution route.
Development Framework for the Evaluation of Usability in E-Government: A Case Study of E-Finance Government of Malang Lestari, Vivin Ayu; Aknuranda, Ismiarta; Ramdani, Fatwa
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.182 KB) | DOI: 10.25126/jitecs.20172233

Abstract

E-government is an effort to utilize information and communication technology especially internet to improve public service quality which generally implemented in a web based application. Usability is one of the important quality criteria for the success of a web. In this study we developed a framework for evaluation of usability in e-government consisting of  eight stages: (1) determining the evaluation objectives, (2) determining the usability aspects, (3) determining the metrics usability, (4) selecting usability evaluation method candidates, (5) determining the required criteria of the method to be evaluated, (6) evaluating the method, (7) selecting and making the instrument, and (8) evaluate usability.. The results of the application of this framework in the case study of e-finance resulted in two methods used: user testing and questionnaires. The evaluation of usability in e-government for e-finance case studies using the proposed framework results in usability level of e-finance in terms of effectiveness, efficiency, and user satisfaction are 96%, 92%, and 70 respectively. Which can be identified to be grouped into 16 problems consisting of aspects of effectiveness and efficiency.
Implementation of Lossless Voice Data Communication using Network Streams on Embedded System Prasetio, Barlian Henryranu; Syauqy, Dahnial
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.623 KB) | DOI: 10.25126/jitecs.20172225

Abstract

Smart home refers to the use of computers and information technology to control home appliances. The smart home system occupies sensors to acquire data for monitoring. One of the most important factors in designing a smart home system was the communication between devices that will be used. It requires high throughput and low latency communication so that monitoring can be done in real time and lossless. The communication network was designed to optimize the stream monitoring for smart home by reviewing the system throughput and latency. Lab-VIEW programming on My-RIO embedded systems was used to acquire accelerometer and voice data readings and send them to personal computer wirelessly. The network communication was designed by implementing network stream protocols between two applications which were planted in the personal computer and My-RIO system. The test results indicate that the network stream protocol did not require normalization of sensor data types while transmitting and receiving. The throughput values were affected by increasing buffer size but on certain conditions saturated throughput were experienced. The value of the latency is always stable with an average value of 13 ms even though the size of the buffer is enlarged.
Automatic Measurement of Human Body Temperature on Thermal Image Using Knowledge-Based Criteria Fitriyah, Hurriyatul; Rachmadi, Aditya; Setyawan, Gembong Edhi
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.494 KB) | DOI: 10.25126/jitecs.20172235

Abstract

Instead of thermometer, an infrared camera could be uti-lized to scan body temperature instantly and non-contact. This paperproposed a non-contact measurement of human body temperature by au-tomatically locating inner-chantus on thermal images. The inner-canthuswere detected in both eyes individually. It located inner-canthi based ontemperature where inner-canthi has the highest temperature in face area.A Thresholding based on 9-highest temperature were applied to detectcandidates of inner-canthus' blob as it must have minimum 9 pixel areaaccording to the Standard. Three knowledge based on characteristic ofeye were also applied in the algorithm as several spot in face usuallyfalls within the temperature threshold. The result show accuracy of al-gorithm to detect eye is 82% whether the eyelids were open or closed.There is no signicant dierent of temperature between closed and openeyes based on paired t-test. The algorithm also showed similar result tothermometer measurement based on paired t-test.
Design of REST API for Local Public Transportation Information Services in Malang City Kharisma, Agi Putra; Pinandito, Aryo
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.907 KB) | DOI: 10.25126/jitecs.20172226

Abstract

Abstract.Utilization of information technology in the field of public transportation has been proven in improving the quality of public transportation services. The availability of information technology that supports public transportation in Malang city is still limited. An effort is required to encourage the availability of information technology that support public transportation in Malang city. This research attempts to propose a draft proposal of REST API designed for supporting information about public transportation services in Malang city. The result of this research showed that the REST API should provide a search facility to find proper service mode of transportation, cost estimation, time estimation, calling or booking a public transportation, a list of all the modes of transportation that exist, as well as detailed information on a mode of transport in which includes the name of public transportation, index of comfortability, index of security, index of safety, index of privacy, index of availability, index of accessibility index, and route.Keywords: Transportation, Public Transportation, API, REST, Service-Oriented Architecture, Web Service.
Design of Mobile Finger Communications Board for Stroke Patient Using The Five Planes of User Experience Priana, Aan Jelli; Tolle, Herman; Aknuranda, Ismiarta; Arisetijono, Eko
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (852.829 KB) | DOI: 10.25126/jitecs.20172236

Abstract

Stroke, in 2014 to mid-2015 is the first cause of death in Indonesia. The condition of stroke patients whose movements are limited is exacerbated by the psychic condition of patients who are unable to communicate pressure will cause obstacles to the healing process of the patient. This research is designed based on the five planes of user experience which are divided into five areas: strategy, scope, structure, skeleton, and surface. This communication board is operated using the patient's fingers so that it is comfortable for everyday activities. The result of Mobile Finger Communication Board implementation shows that application usability level seen from perception and ergonomic point of view shows satisfaction index of the user at the satisfactory level so that it can be said that the system works with the satisfactory result of the users. It is expected that with the Mobile Finger Communication Board which will be used daily to support the healing process of stroke so that the healing rate of stroke is increasing.
Personality Analysis through Handwriting Detection Using Android Based Mobile Device Wijaya, Waskitha; Tolle, Herman; Utaminingrum3, Fitri
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.519 KB) | DOI: 10.25126/jitecs.20172237

Abstract

Graphology is one of the psychology disciplines which aims to study the personality traits of individuals through interpretation of handwriting. We can get information of one’s personality through graphology. In addition, by using android based mobile device, graphology analysis could show one’s personality faster. This study was conducted by taking 42 samples of handwriting from different backgrounds. The feature used in this study was handwriting margin. Besides, Support Vector Machine method was employed to classify the result feature from extraction process. The result of this study showed the accurate average of the application reached 82.738%.

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