{"title":"The improvement of Indonesian news curator classification in Twitter","authors":"Jaka E. Sembodo, E. B. Setiawan, Z. Baizal","doi":"10.1109/ICOICT.2017.8074658","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074658","url":null,"abstract":"Indonesian news curators is Indonesian Twitter users that have characteristics like: following the development of news article, sharing the news via retweet or copying URL in tweet, or also giving feedbacks about news article in Twitter. This users have important role in helping the process of journalistic especially as news sources in Twitter. In generally, there are two kind of news curators in Twitter. First news story curator, it was Twitter user that made the tweet manually. Second news aggregator, it was Twitter user that made tweet automatically using third-party tools. Our previous work about this topic, we developed a framework for classifying this Twitter user using seven features such as: profile description, follower, location, URLs, mention, retweet and general tweet. The performance of system produced 86.15% accuracy. In this paper, our purpose is to improve the performance of previous framework with adding five features such as website, verified status, hashtag, number of like and number of retweet. The performance of system using supervised machine learning produced 93.66% accuracy, then we optimized it using Feature Subset Selection method and produced 95.55% accuracy. Lastly, we implemented the framework be a web-based tool that can classified Indonesian Twitter user into three classes (news story curator, news aggregator, not both) automatically.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128193016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Software application for maintenance system: A combination of maintenance methods in printing industry","authors":"J. Alhilman, F. T. D. Atmaji, Nurdinintya Athari","doi":"10.1109/ICOICT.2017.8074719","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074719","url":null,"abstract":"In printing industry where the production is running for 24 hours, the performance of machine is very important to be maintained. When the machine is breakdown, the production will stop and disturb the production process. Therefore, the maintenance system should be managed effectively to solve those problems. The objective of this paper is to propose a combination analysis of several maintenance methods using a software to optimize the maintenance policy. There are five maintenance methods used in this paper, consists of: Reliability, Availability, and Maintainability (RAM), Reliability Centered Maintenance (RCM), Reliability Centered Spare part (RCS), Life Cycle Cost LCC, and Overall Equipment Effectiveness (OEE). The result of experiment show that the software can be used to optimize of maintenance policy with combination five maintenance methods. The advantages of using maintenance software application are reduce the manual calculation time, simplify calculation, increase the accuracy by prevent the error system and support the proper decision for maintenance policy.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121983280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cheating video description based on sequences of gestures","authors":"Ahmad Arinaldi, M. I. Fanany","doi":"10.1109/ICOICT.2017.8074679","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074679","url":null,"abstract":"Cheating during exams is a problem in the field of education. Cheating during exams undermine the efforts to evaluate the student's proficiency and growth. We propose a real-timecheating detection system using video feed that allows the ability to monitor students during written exams for any illegal behaviors and gestures, such as giving codes, looking at friends, using a cheatsheet, talking and exchanging papers between students. The gestures recognized during the runtime of the video from sequences of actions performed by the subjects which are then used to generate textual descriptions based on the detected cheating gestures. These textual descriptions help the process of documenting activities that transpired during the exams for later use. Our proposed system comprises two primary subsystems, a gesture recognition model based on 3DCNN and XGBoost and a language generation model based on an LSTM network. The gesture recognition model achieves recognition of the cheating gestures with 81.11% accuracy and Kappa statistic 0.760. The language generation model achieves 95.3 % word accuracy and average edit distance 1.076 on single subject description sentences, and 96.6% word accuracy and average edit distance 3.305 on interaction description sentences. The system runs at 32.54 fps on a mid-range laptop.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"323 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122782295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. N. A. Alamsyah, C. A. Simanjuntak, B. Bagustara, W. A. Pradana, P. H. Gunawan
{"title":"OpenMP analysis for lid driven cavity simulation using Lattice Boltzmann Method","authors":"M. N. A. Alamsyah, C. A. Simanjuntak, B. Bagustara, W. A. Pradana, P. H. Gunawan","doi":"10.1109/ICOICT.2017.8074663","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074663","url":null,"abstract":"The aim of this paper is to analyze the OpenMP performances in order to simulate the lid driven cavity flow using Lattice Boltzmann Method (LBM). The LBM is known as a robust method to approximate the Navier-Stokes solutions. However, this method has a high computational cost due to the huge discrete approximations which are described into several lattices. In lid driven cavity simulations, the results using Reynold numbers Re = 40 and Re = 400 are given. The computational time in parallel and serial codes are observed for several lattice sizes 32×32, 64×64, 128×128, 256×256, and 512×512. The results show that, using lattice size 512×512, the CPU time for serial and parallel are obtained 15000 and 5000 seconds respectively for Re = 40. Moreover, for Re = 400 the CPU time in parallel code is obtained a half times of CPU time 55000 seconds in serial code.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"781 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Somrawee Aramkul, P. Champrasert, Benya Suntaranont
{"title":"A modular framework of river weir operations for water resource management systems","authors":"Somrawee Aramkul, P. Champrasert, Benya Suntaranont","doi":"10.1109/ICOICT.2017.8074667","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074667","url":null,"abstract":"This paper proposes and evaluates a modular framework of river weir operations for water resource management systems. The proposed modular framework is used to model a series of river weirs and estimate the water discharge (i.e., water flow rate). Small modules are designed to represent weirs and perform water flow rate computation. The modules interact with each other to form an estimation of the river water discharge. Since there are many types of weirs and they are interconnected in a variety of patterns, modules are designed to conform to the weirs' characteristics. This paper describes how the proposed modular framework, called LIλT framework, is modeled. The evaluation of the LIλT framework focuses on validity and the accuracy of the LIλT framework in the real-world applications. The results show that the LIλT framework can be applied for the real river weirs in the Mae Chan River, Thailand.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"21 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133454793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of macroscopic traffic model with approximation velocity function: A study case in Jalan Buah Batu, Indonesia","authors":"P. H. Gunawan, A. Siahaan","doi":"10.1109/ICOICT.2017.8074703","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074703","url":null,"abstract":"The aim of this paper is to simulate the traffic flow from conservation laws model. In the conservation model, the velocity function is approximated by the observation data using polynomial least square approximation. The observation data which is consists of a relation between density and velocity is obtained from real traffic flow. The study case of this research is conducted from Jalan Buah Batu, Bandung, West Java, Indonesia. Here, the approximation of velocity in linear and quadratic forms are obtained as P<inf>1</inf>(ρ) = −7.0667049017ρ + 7.301347437, and P<inf>2</inf>(ρ) = 7.5604853733ρ<sup>2</sup> − 15.5128486187ρ + 9.2195225939 respectively. Using the velocity function P2, the position of leader is approximately 20 m in front of the leader of vehicles with velocity function P<inf>1</inf> in final time 15 s. Moreover, in final time 30 s of simulation, the difference position between the leader of vehicles using velocity function P<inf>1</inf> and P<inf>2</inf> is approximately 65 m.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134207424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daud Sandy Christianto, Kiki Adhinugraha, A. Herdiani, S. Alamri
{"title":"Highest order Voronoi diagram optimization","authors":"Daud Sandy Christianto, Kiki Adhinugraha, A. Herdiani, S. Alamri","doi":"10.1109/ICOICT.2017.8074644","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074644","url":null,"abstract":"Computational geometry is concerned with the design and analysis of algorithms for geometrical problems. In addition, other more practically oriented, areas of computer science-such as computer graphics, computer-aided design, robotics, pattern recognition, and operation research-give rise to problems that inherently are geometrical. A method that is commonly used is Voronoi diagram. Voronoi diagram is a diagram that divides plane based on nearest neighbour approach. This method does not require checking objects one by one. In Voronoi diagram there is a new variation named Highest Order Voronoi Diagram. Highest order voronoi diagram can be used directly to identify the region for various type of spatial queries and can be used for all order Voronoi Diagram. From work related there is a method named FLIP. Deficiency from work related is data structure for construction are too high which makes construction of Highest Order Voronoi Diagram is heavy. Therefore, in this paper will present Left with Least-Angle Movement (LAM) method for construction Highest Order Voronoi Diagram that change data structure to scale up data that can be processed.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John R. dela Cruz, R. Baldovino, A. Bandala, E. Dadios
{"title":"Water usage optimization of Smart Farm Automated Irrigation System using artificial neural network","authors":"John R. dela Cruz, R. Baldovino, A. Bandala, E. Dadios","doi":"10.1109/ICOICT.2017.8074668","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074668","url":null,"abstract":"Limited water resources had become the main constraint to be considered in farming. Optimizing this has become one of the interests in researches relating to precision agriculture. In this paper, the researchers use Neural Network in optimizing the water usage in the smart farm by incorporating it to the proposed Smart Farm Automated Irrigation System (SFAIS) by implementing an expert system. Simulations were done using the MATLAB Neural Network toolbox and results show that neural network is a useful tool.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis interaction design patterns in drawing application for early childhood using deductive method approach","authors":"D. D. Pangestuti, M. K. Sabariah, D. S. Kusumo","doi":"10.1109/ICOICT.2017.8074716","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074716","url":null,"abstract":"The growth of children ages 4 to 6 years is supported by children's favorite activities in which one of activity is a drawing activity. Drawing activity is an activity that helps children in gross motor and fine motor train which give the rate of growth and development of children is good. Deductive method approach is applied to describe the interaction of mind mapping to the user interface so that users can build a prototype to determine the interaction design pattern. Based on the user experience, gained from observation and interview to the interviewees in question. From the existence of interaction data as a guide in determining the appropriate design pattern for children, researcher did a deductive approach to identify patterns of interaction in children used a drawing application. Researcher used two drawing applications ie drawing applications. The results of testing by usability testing, that the High-Medium User Personas gave a percentage of 97%, while Medium-Low User Personas gave a percentage of 90%. User interaction with the application prototype design pattern on the drawing gave good results for the level of achievement of early childhood development at ages 4 to 6 years in a drawing.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125648513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Mustaneer Rahman, N. A. Abdullah, Fnu Aurangozeb
{"title":"A framework for designing a personalised web-based search assistant tool for eLearning","authors":"Mohammad Mustaneer Rahman, N. A. Abdullah, Fnu Aurangozeb","doi":"10.1109/ICOICT.2017.8074712","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074712","url":null,"abstract":"Search engine reveals significant contribution in learners' online and self-regulated learning experience. Learners currently rely on traditional search engines to retrieve relevant learning materials from the massive repository of materials in the Web. Unfortunately, these search engines do not consider differences in their learning aptitudes when delivering search results. As a consequence, a learner has to perform exhaustive search in order to obtain learning materials that better suit their individual needs. To address this problem, we propose a framework that augments the existing Google search engine with the ability to filter its search results according to learners' educational backgrounds, their learning behaviors when using the tool, as well as the behavioral patterns of other learners with similar profiles. The recommendation of the personalized search results is then implemented using dynamic learner profiling, and Groupization algorithm. Our preliminary evaluation of the prototype shows that the tool is able to personalize Google search results and produces recommendation of links according to three different learners' profiles.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123329124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}