Journal of Information Technology and Computer Science
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.
Articles
12 Documents
Search results for
, issue
"Vol. 3 No. 2: November 2018"
:
12 Documents
clear
<![CDATA[Invigilator Examination Scheduling using Partial Random Injection and Adaptive Time Variant Genetic Algorithm ]]>
<![CDATA[Seisarrina, Maulidya Larasaty]]>;
<![CDATA[Cholissodin, Imam]]>;
<![CDATA[Nurwarsito, Heru]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (406.613 KB)
|
DOI: 10.25126/jitecs.20183250
<![CDATA[Abstract. Examination for every semester is a routine activity for faculties to do. Academic division of faculty responsible to make the schedule for every subject that is going to be tested, and prepare rooms for the test. Meanwhile, coordinators of invigilator committee responsible to make the schedule in FILKOM UB. This research focuses on scheduling the invigilator’s schedule in FILKOM UB. Scheduling with conventional method or manual takes much time because it needs to consider many rules on scheduling it. That is the reason why we need a system to schedule it. The purpose of making this system is to help the committee to schedule their invigilator’s time line. This research offers a concept of solution from using genetic algorithm. Genetic algorithm is an algorithm to find the optimum solution. The system of scheduling that use this genetic algorithm method can produce invigilator’s schedule that is having the least troubles on the arrangement. The data that is used in this research is the final test’s schedule of the odd semester in 2015/2016, lecturer and the employee’s data of FILKOM UB. The optimal genetic parameter that is obtained from the test consists of 900 population, 3000 generations, and a combination of crossover rate and mutation rate value which are 0,4 and 0,6. The system that is built in making this invigilator’s schedule is close to the optimum point with 0,877 fitness value.Keywords: scheduling, invigilator, partial random injection, adaptive time variant genetic algorithm.]]>
<![CDATA[Variable Neighborhoods Search for Multi-Site Production Planning ]]>
<![CDATA[Rizki, Agung Mustika]]>;
<![CDATA[Yuliastuti, Gusti Eka]]>;
<![CDATA[Mahmudy, Wayan Firdaus]]>;
<![CDATA[Tama, Ishardita Pambudi]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (205.791 KB)
|
DOI: 10.25126/jitecs.20183265
<![CDATA[In the home textile industry, production planning needs to be done so that the production costs incurred by the company can be well controlled. Production planning is a problem that cannot be solved in a short time. Problems are more complex if the company has several production branches in other cities, with rules and standards that are certainly very different from one city to another. Based on this background, an algorithm is needed that can solve production planning problems for companies with many production branches in order to obtain optimal solutions. VNS is applied by the author and produces an optimal and efficient solution because the time needed is relatively short compared to the planning carried out previously by the company.]]>
<![CDATA[Prediction of Rainfall using Simplified Deep Learning based Extreme Learning Machines ]]>
<![CDATA[Cholissodin, Imam]]>;
<![CDATA[Sutrisno, Sutrisno]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1241.643 KB)
|
DOI: 10.25126/jitecs.20183258
<![CDATA[Prediction of rainfall is needed by every farmer to determine the planting period or for an institution, eg agriculture ministry in the form of plant calendars. BMKG is one of the national agency in Indonesia that doing research in the field of meteorology, climatology, and geophysics in Indonesia using several methods in predicting rainfall. However, the accuracy of predicted results from BMKG methods is still less than optimal, causing the accuracy of the planting calendar to only reach 50% for the entire territory of Indonesia. The reason is because of the dynamics of atmospheric patterns (such as sea-level temperatures and tropical cyclones) in Indonesia are uncertain and there are weaknesses in each method used by BMKG. Another popular method used for rainfall prediction is the Deep Learning (DL) and Extreme Learning Machine (ELM) included in the Neural Network (NN). ELM has a simpler structure, and non-linear approach capability and better convergence speed from Back Propagation (BP). Unfortunately, Deep Learning method is very complex, if not using the process of simplification, and can be said more complex than the BP. In this study, the prediction system was made using ELM-based Simplified Deep Learning to determine the exact regression equation model according to the number of layers in the hidden node. It is expected that the results of this study will be able to form optimal prediction model.Keywords: prediction, rainfall, ELM, simplified deep learning]]>
<![CDATA[Classification of Physical Soil Condition for Plants using Nearest Neighbor Algorithm with Dimensionality Reduction of Color and Moisture Information ]]>
<![CDATA[Syauqy, Dahnial]]>;
<![CDATA[Fitriyah, Hurriyatul]]>;
<![CDATA[Anwar, Khairul]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (716.724 KB)
|
DOI: 10.25126/jitecs.20183266
<![CDATA[Determining the quality of soil is an important task to perform especially on newly opened agricultural land since it may provide significant impact on the growth of plants. One alternative to determine physical soil quality is by visually observe the color of the soil and measure its moisture. This paper designed an embedded system classify soil condition for plants according to the dimensionality reduction of color and moisture information from the soil using k-NN algorithm. The dimension of attribute information was reduced using correlation analysis to achieve lower computational time and lower memory usage on embedded system. In this study, 39 sample of soil from various location were collected and categorized by soil expert using visual observation. In the accuracy testing on the system that used 4 attributes, 100% accuracy was given by 60:40 ratio with 7 neighbors. In contrast, the system that used only 2 attributes, 100% accuracy was given by 60:40 ratio with 5 nearest neighbors. The resource usage testing shown that by using reduced attributes dimension, the resource usage can be lowered as many as 188 bytes on program storage and 192 bytes on global variable usage. Moreover, the average of computation time performed by the system using reduced attribute dimension achieved 5.4 ms compared to the system that used all attributes which achieved 6.2 ms.]]>
<![CDATA[Review of Intent Diversity in Information Retrieval : Approaches, Models and Trends ]]>
<![CDATA[Mustakim, M]]>;
<![CDATA[Wardoyo, Retantyo]]>;
<![CDATA[Mustofa, Khabib]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (392.012 KB)
|
DOI: 10.25126/jitecs.20183259
<![CDATA[The fast increasing volume of information databases made some difficulties for a user to find the information that they need. Its important for researchers to find the best method for challenging this problem. user intention detection can be used to increase the relevancies of information delivered from the information retrieval system. This research used a systematic mapping process to identify what area, approaches, and models that mostly used to detect user intention in information retrieval in four years later. the result of this research identified that item-based approach is still the most approach researched by researchers to identify intent diversity in information retrieval. The used of item-based approach still increasing from 2015 until 2017. 34% paper used topic models in their research. It means that Topic models still the necessary models explored by the researchers in this study.]]>
<![CDATA[Usability Testing on Android Application of Infrastructure and Facility Reporting Management Information System ]]>
<![CDATA[Wicaksono, Satrio Agung]]>;
<![CDATA[Firdausy, Danniar Reza]]>;
<![CDATA[Saputra, Mochamad Chandra]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1353.813 KB)
|
DOI: 10.25126/jitecs.20183267
<![CDATA[Decline in quality caused by daily use of facilities and infrastructure owned by an organization will certainly disrupt its function in supporting the performance of the organization. The solution that came from the research that has been conducted before is to develop android applications called Infiremis (Infrastructure and Facility Reporting Management Information System), that can be used to report damage to facilities and infrastructure and to track the status reporting. This android application was developed to be used by students, lecturers and staffs of Faculty of Computer Science Brawijaya University which those users has different background persona. Therefore, the usability of this android application need be tested to find out the value of effectiveness, efficiency and satisfaction of the application to fulfill its purpose. This research was conducted mainly to discover the result of usability testing towards the android application of infrastructure and facility reporting management information system. Based on Usability Testing that has been done show that the level of effectiveness and satisfaction of Infiremis respectively is 97,14% and 89,7%, whereas for the efficiency score is 89,9%.]]>
<![CDATA[The Connectivity Between Leap Motion And Android Smartphone For Augmented Reality (AR)-Based Gamelan ]]>
<![CDATA[Permana, Frihandhika]]>;
<![CDATA[Tolle, Herman]]>;
<![CDATA[Utaminingrum, Fitri]]>;
<![CDATA[Dermawi, Rizdania]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (797.838 KB)
|
DOI: 10.25126/jitecs.20183263
<![CDATA[The smartphone development today makes the gadget not only used as a communication tool but also as an entertainment tool such as to play games and play music. The development of the smartphone also supports many technologies that can be run on the smartphone itself, such as Augmented Reality (AR), for example. There are some studies evaluated the AR application combined with Leap Motion, but those studies were using the SDK alpha of the Leap Motion Corp. that is now no longer accessible for the developers to use. This research is meant to overcome such a problem. The method proposed in this study is a technique to connect the Leap Motion with Android for Augmented Reality application. This paper also evaluates the technique used to connect the AR technology to Leap Motion so it can be a visual instrument simulation, which applied to the Gamelan traditional music instrument. The experiments resulted in the accuracy rate of the application of 96.43% for right-hand movement and 97.86% for the left-hand motion. The high accuracy result obtained in the research can be a promising result for the future research.]]>
<![CDATA[High Performance of Polynomial Kernel at SVM Algorithm for Sentiment Analysis ]]>
<![CDATA[Muflikhah, Lailil]]>;
<![CDATA[Haryanto, Dimas Joko]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (338.242 KB)
|
DOI: 10.25126/jitecs.20183260
<![CDATA[Sentiment analysis is a text mining based on the opinion collection towards the review of online product. Support Vector Machine (SVM) is an algorithm of classification that applicable to review the analysis of product. The hyperplane kernel function of SVM has importance role to classify the certain category. Therefore, this research is address to investigate the performance between Polynomial and Radial Basis Function (RBF) kernel functions for sentiment analysis of review product. They are examined to 200 comments using 10-fold validation and various parameter values (learning rate, lambda, c value, epsilon and iteration). As general, the performance for polynomial kernel of 88.75% is slightly higher than RBF kernel of 83.25%.]]>
<![CDATA[Determining Optimum Production Quantity on Multi-Product Home Textile Industry by Simulated Annealing ]]>
<![CDATA[Yuliastuti, Gusti Eka]]>;
<![CDATA[Rizki, Agung Mustika]]>;
<![CDATA[Mahmudy, Wayan Firdaus]]>;
<![CDATA[Tama, Ishardita Pambudi]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (733.457 KB)
|
DOI: 10.25126/jitecs.20183264
<![CDATA[Production planning is a plan aimed at controlling the quantity of products produced. Production planning is very important to be carried out by the company so that the production will always be controlled. It is very difficult to plan production with a variety of product variations because each product certainly has a different demand value from its customers. This has become a complex problem so an algorithm is needed to overcome these problems. Simulated Annealing can produce optimal solutions more effectively and efficiently. Production costs generated by applying Simulated Annealing are Rp. 6,902,406,000, - for all types of products, which is better than existing condition.]]>
<![CDATA[Analysis of Brawijaya University Academic Information Systems Acceptance on the User Characteristic, System Quality, Support of Top Management and Information Technology, Perceived Usefulness, and Perceived Ease of Use ]]>
<![CDATA[Mursityo, Yusi Tyroni]]>
<![CDATA[ Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018 ]]>
Publisher : <![CDATA[Faculty of Computer Science (FILKOM) Brawijaya University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (3546.645 KB)
|
DOI: 10.25126/jitecs.20183270
<![CDATA[Sistem Informasi Dosen (SIADO) as an academic information system for Universitas Brawijaya lecturers are not fully optimized and used since many perspectives about the system, such as system quality complaints and it’s not obligated to use by the University leaders even many benefits can be obtained. This research conducted to describe the factors on SIADO’s user acceptance in five variables, namely is user characteristic, system quality, top management & IT support, perceived usefulness, and perceived ease of use, using descriptive statistical analysis. Data collection techniques with offline questionnaire were distributed using paper from 96 Universitas Brawijaya lecturers. Validation and reliability were checked with statistics methods and descriptive statistical analysis is implemented to measure the level of categories on each variable to provide calculation and information based on data centralization and dissemination, and acquired categorized data. The results show that all five variables receive high category on SIADO acceptance, which indicates the user perception all five variables are good to be used as a consideration tool in receiving the actual use of the system.]]>
