Haya Alasker, Shatha Alharkan, Wejdan Alharkan, Amal Zaki, L. Riza
{"title":"Detection of kidney disease using various intelligent classifiers","authors":"Haya Alasker, Shatha Alharkan, Wejdan Alharkan, Amal Zaki, L. Riza","doi":"10.1109/ICSITECH.2017.8257199","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257199","url":null,"abstract":"Scientists are interesting to develop and improve analytical tools for medical diagnosis. Machine learning technique is one of the tools that is used in medical analysis and diagnosis. This research considers the implementation of data mining classification tools on the kidney patient data sets. The aim of this paper is to predict kidney function failure through the implementation of data mining classifiers tools. The experiment is performed on different algorithms like Back Propagation Neural Network, Naïve Bayes, Decision Table, Decision trees, K nearest neighbor and One Rule classifier. The experimental results show that the Naïve Bayes algorithm provides better result than the other classification algorithms and produces 99.36 % accuracy and 0.977 sensitivity.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"91 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888254","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":"Opinion mining from online reviews in Bali tourist area","authors":"P. Prameswari, I. Surjandari, Enrico Laoh","doi":"10.1109/ICSITECH.2017.8257115","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257115","url":null,"abstract":"Bali Island is the most popular tourist destination in Indonesia. Bali needs to make continuous quality improvements of its tourism industry by devoting particular attention to the hotel as an integral part of tourism. Through hotel user reviews, hotel managers gained insight about the hotel condition that was perceived by the users. based on online reviews in Tripadvisor.com, this study used text mining approach and aspect-based sentiment analysis to obtain hotel user opinion in the form of sentiment. Aspect-based sentiment analysis is able to provide information that is not provided by the typical sentiment analysis. To perform these tasks, this study tries to apply the Recursive Neural Tensor Network (RNTN) algorithm, which was commonly used for classifying sentiment in sentence level. With the average accuracy of 85%, the proposed algorithm performed well in classifying the sentiment of words or aspects. Moreover, the output can be used for evaluation in improving the quality of the hospitality industry as well as supporting the tourism industry in Indonesia.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120961940","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}
F. Noviyanto, Dewi Soyusiawaty, Nur Rochmah, Dyah Puji Astuti, R. Munir, M. L. Khodra
{"title":"Tracking online fraud using regular expression","authors":"F. Noviyanto, Dewi Soyusiawaty, Nur Rochmah, Dyah Puji Astuti, R. Munir, M. L. Khodra","doi":"10.1109/ICSITECH.2017.8257202","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257202","url":null,"abstract":"The online fraud mode is still rife, either through Short Message Service (SMS) or website. The problems that exist are: many people cannot distinguish fraudulent and official websites, tracking sites by the police is less effective because it is only done one by one based on reported websites, whereas one fraud perpetrator can have multiple websites. Search websites on search engines require enormous effort, as not all of those websites are related to the fraud being tracked, shown on the first page. This research employs the Google Site Search Scrapping data in the form of Application Programmable Interface which allows offline data management, so that the search becomes more flexible and unlimited per page. The purpose of this tracking system is to track and find fraudulent websites based on certain keywords. The tracking procedure is adopted based on the Special Criminal Investigation Unit of Yogyakarta Regional Police Department. The keywords used for the input data is telephone number or website address. The telephone number is then filtered and break down into area code, space character, and number separator using regular expression (regex) method. The testing method of this study is done by using Software Usability Test method, which produced score 68.8. A score minimum for a system that can accepted are 68. So, based on the results of testing, known that the system is acceptable. The implementation of a tracking system it allows the police found some site false of one report, so to minimize the number of dupes.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116698818","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}
Pawut Satitsuksanoh, Rachsuda Jiamthapthaksin, Se Won Kim, Pisal Setthawong
{"title":"A cost-effective interactive platform for the management of a small scale lap-based jogging competition using low-frequency RFID technology","authors":"Pawut Satitsuksanoh, Rachsuda Jiamthapthaksin, Se Won Kim, Pisal Setthawong","doi":"10.1109/ICSITECH.2017.8257139","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257139","url":null,"abstract":"There are many formats for arranging jogging and running events. One popular format allows participants to compete over a period of time to collect the most amount of laps. These types of competition are aimed towards making the participants more healthy by being active and engage in regular exercise. To motivate the participants, the runners with the most laps are usually rewarded for their effort. Traditionally most of these events are usually small local community events, in which there is little budget and manpower that could be allocated towards the management of the events. This makes investment on existing interactive ultra-high frequency (UHF) radio-frequency identification (RFID) race timing systems too expensive to be considered for these events. Due to the lack of cost-effective solution for the problem domain, this study proposes a cost-effective interactive platform that is based on low-frequency (LF) RFID devices. The proposed platforms helps manage the running events, log runner specifics, manages data through a centralized database, and shows participants' data such as lap times and total laps in real time. The proposed system was deployed at the Fit for Run event at Assumption University between January 23–February 28, 2017.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131409405","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":"A development of cloud-based PHP learning system","authors":"E. Nugroho, Wahyudin, R. Cahyana","doi":"10.1109/ICSITECH.2017.8257198","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257198","url":null,"abstract":"With the advance of cloud computing technology, people mostly done anything through online activity. As a result, online programming services that accessed through web browser have been widely spread. In this research, we proposed a cloud-based PHP learning system for supporting dynamic web programming course in the eleventh grade students. The feature of our system allows the teachers to manage learning content such as materials and excersises, users, and source code. As for the students, they enable to use the learning feature that provides the PHP subject materials as well as excersises or code practical. In the experiment using our proposed PHP learning system followed the LORI 1.5 instrument, we could have the perspective that our PHP learning system is acceptable that assessed by 21 students, 3 content reviewers, and 4 system reviewers with the average score total at 81.53%, 82.59%, and 78.13% respectively. Therefore, either in the assessment done by student, content reviewer, or system reviewer, the proposed system is interpreted as good and acceptable.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097665","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":"Performance testing of M2M middleware platform","authors":"F. Z. Fahmi, M. Abdurohman","doi":"10.1109/ICSITECH.2017.8257142","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257142","url":null,"abstract":"Machine to Machine Communication (M2M) is an enabler of Internet of Things (IoT) ecosystem. One of representative implemetation of M2M middleware platform is OpenMTC based on 3gpp standard. OpenMTC is horisontal M2M Platform that connect sensors and devices to user application. It support scalability by providing gateway capability layer for connecting to sensors and devices and network capability layar for supporting user application. This platform will handle large data from hundreds to thousands of sensors and devices and send the data to the suitable application. This paper has tested OpenMTC platform performance regarding its capability to handle large data. Utility and response time are measured parameters of middleware server performance. The result shows that server utilization increases when the number of nodes is less than 30. The utilization of the server shows a constant value of 70% when the number of nodes over 30. Response time to increase in line with the increase of node number. Response time is still on target while the number of nodes is less than 30.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116263252","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 development evaluation process using CMMI-Dev on limited resources company","authors":"I. M. Ardana, Suharjito","doi":"10.1109/ICSITECH.2017.8257132","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257132","url":null,"abstract":"The quality of products is very important for a software development industry. The product quality is strongly influenced by the software development process. Software development company with limited resources is hard to improve the quality of the software produced. The method to be taken is to improve the software development process to achieve maturity level 2. In this study, CMMI-Dev (CMMI for Development) version 1.3 with continuous representation is used as a reference. SCAMPI-C with PST Tool was used to conduct the assessment of the 5 (five) process areas of CMMI level 2. Data were collected by interviews and observations of project documentation and the process of software development. Unapplied practice from assesment then be analyzed using Ishikawa Analysis to find root of the problem refers to the SPF (Software Process Framework) and subsequently use Pareto Analysis to determine the improvements priority. The process which have already good are in the process area PP (Project Planning), CM (Configuration Management), and most of the processes in the area of PMC (Project Monitoring and Control). Software development processes which are need to be improved in the process area with priority PPQA (Process and Product Quality Assurance), REQM (Requirements Management), then PMC (Project Monitoring and Control). The prior improvement from the SPF category were in the order of procedure category and then process category.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123401161","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":"Designing of quantum random number generator (QRNG) for security application","authors":"Meilana Siswanto, Bayu Rudiyanto","doi":"10.1109/ICSITECH.2017.8257124","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257124","url":null,"abstract":"Information security, especially cryptography still seems becoming an interested topic of researches in the recent years since it will be responsible to secure a system and data for misusing of attackers. With spreading of internet of things (IoT) applications in many fields whereas many devices will be connected to internet, security issues become one of three common issues related to IoT applications such as innovations, security and interoperability. As a new application of IoT is implemented, a new security system will be needed as well. This paper discusses on designing a quantum random number generator (QRNG) which has a potential for security solution of IoT ecosystem applications.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460354","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}
T. Hoshino, Yukichi Ota, Kohei Tomaru, Y. Hamamatsu
{"title":"Development and evaluation of software for smart devices to support educational experiments on acceleration","authors":"T. Hoshino, Yukichi Ota, Kohei Tomaru, Y. Hamamatsu","doi":"10.1109/ICSITECH.2017.8257120","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257120","url":null,"abstract":"This paper reports the development and evaluation of software for smart devices to support educational experiments on acceleration in junior and senior high schools. Paper tape and time recorders are conventionally used for performing such experiments in schools. However, a long time is required to read out the measurements when using these devices. Long experiment times may hamper students' intuitive understanding of concepts. The proposed software for smart devices reduces the experiment time by using values obtained from acceleration sensors in a smartphone. We propose an experimental method with the proposed software and a wireless display adapter to support students' learning.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642652","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":"Preprocessing matrix factorization for solving data sparsity on memory-based collaborative filtering","authors":"Mochamad Iqbal Ardimansyah, A. Huda, Z. Baizal","doi":"10.1109/ICSITECH.2017.8257168","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257168","url":null,"abstract":"Collaborative filtering (CF) is one of the techniques in recommender system which utilizes information of user preference in the form of ratings of items and produce recommendation based on the similarity of behaviors with other user's preference. The collaborative filtering approach divisible into two main categories: memory-based and model-based, both have their respective advantages and disadvantages. The weakness of memory-based CF is that accuracy becomes less optimal when using sparse dataset. We propose the use of matrix factorization as preprocessing to fill empty rating values to handle sparse rating data. The research involves memory-based CF, with and without preprocessing to analyze both prediction performances. Our results show that the proposed approach with preprocessing has better accuracy than without preprocessing.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125280217","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}