Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)最新文献

Usability Testing to Measure Real Perception Generation Level in Introduction of Bengkulu University Building Based on Virtual Tour with 360° Object Modelling 基于360°对象建模虚拟漫游的明库鲁大学建筑导入中测量真实感知生成水平的可用性测试

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.097

Y. Setiawan, Aan Erlanshari, Fakhrurezi, Mochammad Yusa, E. P. Purwandari

{"title":"Usability Testing to Measure Real Perception Generation Level in Introduction of Bengkulu University Building Based on Virtual Tour with 360° Object Modelling","authors":"Y. Setiawan, Aan Erlanshari, Fakhrurezi, Mochammad Yusa, E. P. Purwandari","doi":"10.2991/aisr.k.200424.097","DOIUrl":"https://doi.org/10.2991/aisr.k.200424.097","url":null,"abstract":"The development of photography technology creates a 360 ° camera that carries an ultra-wide twin1-lens folded optical lens (a small double lens with a folding design). This technology can produce spherical panoramic images. Spherical panoramas are borderless and seamless image objects used to create virtual tours. Bengkulu University, with the broadest environment in Southeast Asia, has more than 30 buildings with several floors and rooms. It's making it challenging to find the location of the building or event for incoming guests. The purpose of this study is to analyze the level of generation of a real perception of the introduction of the Bengkulu University building by a 360 0 virtual tour application. Usability testing is intended to analyze the level of perception generation, to introduce the Bengkulu University building to the guest. This research was carried out by collecting 360 0 photos for each building and room, then built a webbased virtual tour application that can display the location and directions to go to the building or office, then information on each building or outdoors will be displayed according to the shape of the object model 360 0 . Users can run a virtual tour application using a smartphone and VR-box to get a real perception like being in the building or room. Usability testing is done by making a questionnaire based on three components of usability testing (effectiveness, efficiency, and satisfaction), to obtain the level of perception generation from buildings with 3600 object modelling. Usability testing of the 360 0 Virtual Tour of University Bengkulu was carried out with a total of 100 respondents. The results were obtained by generating of usability testing were 94% (Effectiveness 96.1%, Efficiency 96.6%, and Satisfaction 89.2%).","PeriodicalId":147693,"journal":{"name":"Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124808832","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}

引用次数: 2

Accelerating Convolutional Neural Network Training for Colon Histopathology Images by Customizing Deep Learning Framework 自定义深度学习框架加速结肠组织病理学图像卷积神经网络训练

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.063

Toto Haryanto, H. Suhartanto, A. M. Arymurthy, K. Kusmardi

{"title":"Accelerating Convolutional Neural Network Training for Colon Histopathology Images by Customizing Deep Learning Framework","authors":"Toto Haryanto, H. Suhartanto, A. M. Arymurthy, K. Kusmardi","doi":"10.2991/aisr.k.200424.063","DOIUrl":"https://doi.org/10.2991/aisr.k.200424.063","url":null,"abstract":"Cancer diagnose based on the histopathology images is still have some challenges. Convolutional Neural Network (CNN) is one of deep learning architecture that has widely used in medical image processing especially for cancer detection. The high resolution of images and complexity of CNN architecture causes cost-intensive in the training process. One way of reducing the training processes time is by introducing parallel processing. Graphics Processing Unit (GPU) is a graphics card which has many processors and has been widely used to speed-up the process. However, the problem in GPU is the limitation of memory size. Therefore, this study proposes alternative ways to utilize the GPU memory in the training of CNN architecture. Theano is one of middle-level framework for deep application. GPU memory is a critical task in training activity and will affect to the number of batch-size. Customizing memory allocation in Theano can be conducted by utilizing library called ‘cnmem’. For training CNN architecture, we use NVIDIA GTX-980 that accelerated by customizing CUDA memory allocation from ‘cnmem’ library located in ‘theanorc’ file. In the experiment, the parameter of cnmem are chosen between 0 (not apply cnmem) or 1 (apply cnmem). We use image variation from 32x32, 64x64, 128x128, 180x180 and 200x200 pixels. In the training, a number of batch-size is selected experimentally from 10, 20, 50, 100 and 150 images. Our experiments show that enabling cnmem with the value of 1 will increase the speed-up. The 200x200 images show the most significant efficiency of GPU performance when training CNN. Speed-up is measured by comparing training time of GTX-980 with CPU core i7 machine from 16, 8, 4, 2 cores and the single-core. The highest speed-up GTX-980 obtained with enabling cnmem are 4.49, 5.00, 7.58, 11,97 and 16.19 compare to 16, 8, 4, 2 and 1 core processor respectively","PeriodicalId":147693,"journal":{"name":"Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130499467","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}

引用次数: 0

Decision Support System of Advisability Assessment of Partnership Funding Recipient Using Simple Additive Weighting Method 基于简单加性加权法的伙伴资助对象明智性评估决策支持系统

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.093

Yadi Utama, Fathoni, A. Ibrahim

引用次数: 0

Enterprise Architecture Planning for Balikpapan Environmental Services Using TOGAF ADM 使用TOGAF ADM的巴厘巴潘环境服务企业架构规划

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.091

L. H. Atrinawati, Muhammad Aqil Maulana, T. P. Fiqar, S. Ardiansyah

引用次数: 0

Analysis of Factors Affecting User Loyalty in an Online Discussion Forum 某在线论坛用户忠诚度影响因素分析

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.025

Jurnalistika Febra Ariella, I. Budi, M. L. Baskoro

{"title":"Analysis of Factors Affecting User Loyalty in an Online Discussion Forum","authors":"Jurnalistika Febra Ariella, I. Budi, M. L. Baskoro","doi":"10.2991/aisr.k.200424.025","DOIUrl":"https://doi.org/10.2991/aisr.k.200424.025","url":null,"abstract":"PT XYZ is an internet company, providing free online discussion forum as the main service with a display of advertisements as a primary source of revenue. Users are one of the most important assets for PT XYZ. Every user who visits a discussion forum will be exposed with advertisements in the forum which will contribute to the business revenue of PT XYZ. Unfortunately, in the past six years, the number of users has been decreased by 64%, which surely affecting PT XYZ's business profits. Therefore, user loyalty is a key aspect that needs to be underlined. The focus of this study is to analyze factors that affect user loyalty in the online discussion forum of PT XYZ. Factors that directly affect user loyalty consist of perceived usefulness, user attitude response, user relationship quality, and user satisfaction. While the indirect factors consist of social influence, ease of use, product design, quality of argument, the credibility of sources, information, social exchange, and recreation. This study is a quantitative research with a structural equation model (SEM) approach. The results show that user loyalty is affected by factors of relationship quality between online discussion forum PT XYZ and users, which directly affected by argument quality, and also source credibility.","PeriodicalId":147693,"journal":{"name":"Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117340473","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}

引用次数: 0

Author Matching Using String Similarities and Deep Neural Networks 使用字符串相似度和深度神经网络的作者匹配

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.073

Zaqqi Yamani, S. Nurmaini, Firdaus, Winda Kurnia Sari

{"title":"Author Matching Using String Similarities and Deep Neural Networks","authors":"Zaqqi Yamani, S. Nurmaini, Firdaus, Winda Kurnia Sari","doi":"10.2991/aisr.k.200424.073","DOIUrl":"https://doi.org/10.2991/aisr.k.200424.073","url":null,"abstract":"Author Name Disambiguation (AND) is one of the problems in the process of classification of publication data, where the introduction of the characteristics of each author is difficult to recognize because of the frequent changes in patterns in writing author names. In the world of publications, author classification is needed to classify authors with types and fields of science based on published papers, therefore in this paper the author will classify with the aim of providing definite values whether the author is with the paper title a and author a with the paper title b is the same person or not. The method used by the author is one branch of Deep Learning, namely the Deep Neural Network DNN). DNN is used because it has high data processing acceleration capabilities with the use of GPU technology. With this method, AND data classified by the author produces a high level of accuracy with a value of 98%. data are different. on the similarity technique that is widely used is to use the coefficients of jaccard, euclidean and levenshtein. The most common jaccard coefficient is used to measure the similarity between two data sets. The results that appear are in the range of 0% to 100%. The higher the percentage, the more similar the population of the two data [8][4][9][10][11]. The jaccard coefficient is defined by a mathematical formula to produce measurements of the distance between strings.","PeriodicalId":147693,"journal":{"name":"Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123624449","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}

引用次数: 2

MBRTE: Modified BLEU Algorithm for Recognition Textual Entailment 文本蕴涵识别的改进BLEU算法

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.066

Abdiansah Abdiansah, Alvi Syahrini Utami

引用次数: 0

Improving Customer Service in Dealing with the Vehicle Routing Problem with Time Windows Using Optimization Algorithms 利用优化算法处理带时间窗的车辆路径问题，提高客户服务质量

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.001

M. I. Jambak, Yeshika Kharlina Dranie Putri, Bayu Wijaya Putra

引用次数: 0

The Content and Construct Development of CGMs Device Adoption Model CGMs设备采用模型的内容及构建发展

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.004

Ismail Hossain, Ahmad Fadhil Yusof, Ab Razak Che Hussin, Mohotasim Billah, M. Shanmugam

{"title":"The Content and Construct Development of CGMs Device Adoption Model","authors":"Ismail Hossain, Ahmad Fadhil Yusof, Ab Razak Che Hussin, Mohotasim Billah, M. Shanmugam","doi":"10.2991/aisr.k.200424.004","DOIUrl":"https://doi.org/10.2991/aisr.k.200424.004","url":null,"abstract":"The authors formed an instrument to facilitate the intention of wearable continuous glucose monitoring device adoption in smart healthcare system. Initial survey items were reviewed by five content experts for construct-fit and readability. Here, seven factors were identified from various researches to build up an adoption model of wearable Continuous Glucose Monitoring System. This research planned to develop and validate an adoption model for wearable CGMs device adoption. At this point, for eight constructs total 33 numbers of items were assessed by five academic experts related to information system department and finally, we selected 31 items for measurement. Meeting session was conducted with the experts in this study for content validation process. For the analysis content experts’ unity, two quantitative approaches named Content Validity Ratio (CVR) and Content Validity Index (CVI) were performed. From 33 items, 31 were selected finally, as the CVR critical value is followed by 0.75 (N=5) and 2 items were rejected. In attendance, we also did some change in structure of the items as per the expert comments. After that, obtained items were calculated using CVI. The acceptable final value of CVI is 0.80. Face validation process was also applied to the items of the constructs by the experts as well. This instrument is possible to be prospective for the measurement of adoption model especially for wearable CGMs device in smart healthcare.","PeriodicalId":147693,"journal":{"name":"Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115782538","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}

引用次数: 1

RFID Tag Location Determination System in the Parking Area Using K-Nearest Neighbor Algorithm 基于k近邻算法的停车场RFID标签定位系统

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) Pub Date : 2020-05-06 DOI: 10.2991/aisr.k.200424.038

Ahmad Fali Oklilas, Elvatyara Rahmadiany Puteri, Samsuryadi

{"title":"RFID Tag Location Determination System in the Parking Area Using K-Nearest Neighbor Algorithm","authors":"Ahmad Fali Oklilas, Elvatyara Rahmadiany Puteri, Samsuryadi","doi":"10.2991/aisr.k.200424.038","DOIUrl":"https://doi.org/10.2991/aisr.k.200424.038","url":null,"abstract":"This research was conducted to determine the position of the target tag placed in a predetermined position in a parking area. The method applied in this location determination system is the K-Nearest Neighbor algorithm method. There are two scenarios in this research, that are where the target tag is placed at two predetermined coordinate positions. This test uses 15 reference tags that are placed around two target tags with predetermined coordinate positions. So, after 10 tests, the prediction coordinates will be obtained in each data collection, which can then be used to find the average error rate of the two scenarios so that the scenario can be obtained which is more effective to be used in this research. From the two scenarios used, it is known that the error value of the first scenario is 7,0474 cm, while the error value of the second scenario is 7,6773 cm. From the results of the errors in the two scenarios of this experiment, it is known that the first scenario is much better used when taking the initial data or searching for the RSSI data, so that the results obtained are even better. In addition to manual calculations, calculations using programs with the Python programming language can also be done in order to produce more accurate predictive coordinates and error values.","PeriodicalId":147693,"journal":{"name":"Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133572355","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}

引用次数: 0