2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)最新文献_第8页

An Approach of Web Scraping on News Website based on Regular Expression 一种基于正则表达式的新闻网站抓取方法

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878550

Achmad Maududie, Windi Eka Yulia Retnani, Muhamat Abdul Rohim

{"title":"An Approach of Web Scraping on News Website based on Regular Expression","authors":"Achmad Maududie, Windi Eka Yulia Retnani, Muhamat Abdul Rohim","doi":"10.1109/EIConCIT.2018.8878550","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878550","url":null,"abstract":"The high growth of news document emerging a new problem when the news website does not provide downloading service. This paper describes an approach of providing title, publication date, author, clean text article, and URL address of news article from HTML page of three news web-sites, i.e., Detik, Tribunnews, and Liputan6 without manually copy and paste process. This approach consists of three steps, i.e.: analyzing news website structure, constructing pattern of Regex and implementing the patterns as a set of rule in web scraping. Based on the experiment, each news web site used their own pattern for article link, article title, article author, and publication date of article. Special for extracting a clean text of news article phase, there were two kinds of pattern i.e.: content pattern (for extracting original text article of news) and filter pattern (for eliminating non-news elements). In these three-news website, the non-news elements consist of text advertisement, video advertisement, link, image, and script with different pattern for every website. After generated all necessary patterns and implemented these patterns as a set of rules, the web scraping module produced very good results of news article extraction on Detik and Tribunnews that was presented by recall = 1, precision = 1 and F-Measure =100% while Liputan6 had a little bit lower i.e., recall =0.95, precision =0.95, and F-Measure =95%. It is found that this approach is a simple and strait forward way to extract news article which consists of title, publication date, author, news article, and the URL address of news article.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121276140","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: 7

Drugs Diagnose Level using Simple Multi-Attribute Rating Technique (SMART) 基于简单多属性评定技术(SMART)的药物诊断水平

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878564

Andi Tejawati, H. S. Pakpahan, Wahyu Susantini

{"title":"Drugs Diagnose Level using Simple Multi-Attribute Rating Technique (SMART)","authors":"Andi Tejawati, H. S. Pakpahan, Wahyu Susantini","doi":"10.1109/EIConCIT.2018.8878564","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878564","url":null,"abstract":"To find out the level of drug addicts, a system that can process predetermined criteria is needed. The system is a decision support system using the SMART method. The purpose of this study is to create a decision support system to help drug addicts to know that someone is classified as a mild, moderate or severe addict with several criteria that must be chosen by addicts, before choosing criteria for an addict to do the screening process first. Collecting data in this study uses literature study techniques, interviews, and observations in data collection. The system development uses the waterfall method. Analysis and design modeling use Laravel framework with PHP programming language and MySQL database server. The test method uses black-box testing, testing calculations and testing the comparison of real data with data that has been applied to the SMART method with a success of 75.37%. The results of this study are a decision support system for diagnosing drug addicts so that a drug addict can find out the level of addicts and solutions and descriptions of the results of the diagnosis.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829526","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

Enhanced MAC based on Hybrid-MD Algorithm 基于Hybrid-MD算法的增强MAC

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878523

Muslim Muslim, Suarga Suarga, As’ad Djamalilleil, Fitriyani Umar, Mardiyyah Hasnawi, Syahrul Mubarak

引用次数: 0

Comparison of Canny and Centroid on Face Recognition Process using Gray Level Cooccurrence Matrix and Probabilistic Neural Network 灰度共生矩阵与概率神经网络人脸识别中Canny与质心的比较

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878535

Toni Wijanarko Adi Putra, Joko Minardi, A. F. O. Gaffar, B. Suprapty, R. Malani, Supriadi

{"title":"Comparison of Canny and Centroid on Face Recognition Process using Gray Level Cooccurrence Matrix and Probabilistic Neural Network","authors":"Toni Wijanarko Adi Putra, Joko Minardi, A. F. O. Gaffar, B. Suprapty, R. Malani, Supriadi","doi":"10.1109/EIConCIT.2018.8878535","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878535","url":null,"abstract":"Face recognition system is the development of basic methods of authentication systems by using the natural characteristics of the human face as a basis. The process of recognizing the facial image through several stages of the training phase and testing phase. This study has used datasets in the form of facial image samples obtained with various light intensities, distances, and positions toward the acquisition devices. This study has implemented the Centroid method and Canny edge detection to get image patterns from preprocessed image samples. Image features were obtained from image patterns using Gray Level Co-occurrence Matrix (GLCM). PNN has used as a classification of image patterns. The results of this study showed that the combination of the Centroid and GLCM methods (accuracy of 93.33%) is better than the combination of Canny edge detection and the GLCM method (accuracy of 66.43%). The results of this study also showed that the farther the spatial distance to build the GLCM features, the lower the accuracy.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133522370","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

Usability Study of Student Academic Portal from a User’s Perspective 基于用户视角的学生学术门户网站可用性研究

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878618

Rosmasari, N. Puspitasari, Vinda Nur Vadilla, U. Hairah, Huzain Azis, Haviluddin, M. Wati, E. Budiman

引用次数: 9

Keynote Speech 3 Internet of Things (IoT) Technology For Star Fruit Plantation 主题演讲3杨桃种植园的物联网技术

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/eiconcit.2018.8878630

F. Zulkifli

引用次数: 0

Color Features Extraction Based on Min-Max Value from RGB, HSV, and HCL on Medan Oranges Image 基于RGB、HSV和HCL最小最大值的棉兰橙图像颜色特征提取

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878516

Eel Susilowati, S. Madenda, Sunny Arief Sudiro, Lussiana Etp

{"title":"Color Features Extraction Based on Min-Max Value from RGB, HSV, and HCL on Medan Oranges Image","authors":"Eel Susilowati, S. Madenda, Sunny Arief Sudiro, Lussiana Etp","doi":"10.1109/EIConCIT.2018.8878516","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878516","url":null,"abstract":"Research on plantation products has now turned to non-destructive research, this is because the quality of plantation products still uses the manual method of relying on sight or hand size to distinguish which is good, damaged, ripe, raw, large or small. Of course, the results are inconsistent, due to differences in perceptions of sight and the size of the hand between farmers with each other. Now the researcher conduct research based on the analysis of image processing. Where color extraction features (other than shape and texture) which is the stage of extracting the information contained in an object in a digital image. This information is used to distinguish between one object and another object at the stage of grouping/identification analysis based on color. In this case, the author extracts color features based on the minimum and maximum values for each component of the values R, G, B, H, S, V, H, C and L using the RGB, HSV and HCL methods. Thus, it can be seen the differences in the results of color extraction that characterize the object: Medan oranges of the three methods. The conclusion resulted from this research can't be used as a basis for determining specific the characteristics of each oranges class, because there is any overlap minimum-maximum value","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116738934","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

Identification of Geothermal Reservoir Determination using Artificial Neural Network (ANN) 利用人工神经网络(ANN)识别地热储层

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878664

H. S. Pakpahan, Haviluddin, M. Wati

{"title":"Identification of Geothermal Reservoir Determination using Artificial Neural Network (ANN)","authors":"H. S. Pakpahan, Haviluddin, M. Wati","doi":"10.1109/EIConCIT.2018.8878664","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878664","url":null,"abstract":"Geothermal utilization in Indonesia is mostly for electricity generation. Electricity consumption has increased while geothermal production has not increased, so it is necessary to develop geothermal wells. One of the efforts is the prediction of well behavior so that the well performance can be known which a need for well development is. To predict the behavior of geothermal wells temperature prediction (T) and pressure (P) with location parameters (x and y), well depth (z) injection flow rate (qinj) and injection temperature (Tinj) using the Artificial Neural Network (ANN) method. The first is the generation of well production models, M-1, M-2 and M-3, each model has 6 wells. Data is generated during one year of production and data separation is carried out, i.e. data for 11 months is used as ANN training data and data for the last 1 month is used as test data. The results of the prediction with ANN will be compared with the test data. Calculation of errors between the predicted results and the test data on M-1 is 0.0251 for temperature (T) and 0.0303 for pressure (P), while the MSE value is 0.00378. At M-2 is 0.0283 for temperature (T) and 0.0468 for pressure (P), while the MSE value is 0.000795. At M-3 is 0.0445 for temperature (T) and 0.0566 for pressure (P), while the MSE value is 0.0121. Based on the results obtained the error value and MSE are relatively small, so ANN can be used to predict the behavior of geothermal wells. Then the variation in the number of hidden layers is done. H-15 has the best error value and MSE, while h-50 has the best regression value (R).","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116172331","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

Comparative Study of Hyperspectral Aquisition Technique in Total Soluble Content and pH Measurement in Honey 高光谱获取技术测定蜂蜜中总可溶性含量和pH值的比较研究

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878546

Advendio Desandros, A. H. Saputro

{"title":"Comparative Study of Hyperspectral Aquisition Technique in Total Soluble Content and pH Measurement in Honey","authors":"Advendio Desandros, A. H. Saputro","doi":"10.1109/EIConCIT.2018.8878546","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878546","url":null,"abstract":"Transmittance and reflectance modes are the two most common technique used for investigating liquid psychochemical properties based on optical spectra. In the case of honey characterization, this research performed to show a comparison between both modes to measure honey’s Total Soluble Solids and pH based on the Vis-NIR hyperspectral imaging system. The system consists of Specim FX10 hyperspectral camera with 448 bands (400-1000nm), three 200 W halogen lamps, a light diffuser, a motor slider, and a PC. Then, a Partial Least Square Regression (PLSR) algorithm applied to predict measured values based on the acquired transmittance and reflectance spectrum. Performance of each technique tested by tenfold Cross Validation, which randomly grouping the dataset into ten partitions. Samples is prepared from 28 different honey types with varied colors, placed in 5 cm diameter Petri dishes at 10 ml volume. Performance of each technique measured by R2 and a Root Mean Square Percentage Error (RMSPE) score. Transmittance mode results in R2 of 0.93 and 0.80, RMSPE of 1.06% and 5.36% for total soluble solid content and pH measurement. For similar measured properties, reflectance mode results in R2 of 0.94 and 0.82, RMSPE of1.01% and 5.23%. In this research, reflectance mode performs slightly better than transmittance mode in the measurement of Total Soluble Solids and pH in honey samples.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898820","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

[EIConCIT 2018 Cover Page] [EIConCIT 2018封面]

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/eiconcit.2018.8878585

引用次数: 0