International Journal on Information and Communication Technology (IJoICT)最新文献_第2页

a Schema Extraction of Document-Oriented Database for Data Warehouse 面向文档数据库的数据仓库模式提取

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-12-31 DOI: 10.21108/ijoict.v7i2.584

A. Istiqamah, Kemas Wiharja

引用次数: 1

The Effect of Number of Factors and Data on Monthly Weather Classification Performance Using Artificial Neural Networks 因子数量和数据对人工神经网络月度天气分类性能的影响

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-12-30 DOI: 10.21108/ijoict.v7i2.602

Shofura Shofura, Sri Suryani M.Si, L. Salma, S. Harini

{"title":"The Effect of Number of Factors and Data on Monthly Weather Classification Performance Using Artificial Neural Networks","authors":"Shofura Shofura, Sri Suryani M.Si, L. Salma, S. Harini","doi":"10.21108/ijoict.v7i2.602","DOIUrl":"https://doi.org/10.21108/ijoict.v7i2.602","url":null,"abstract":"Current weather-related research only focuses on weather prediction based on raw data and the factors used are generally 4 factors: average temperature, solar radiation, air pressure, and wind. In this research, monthly weather prediction is done using 5 factors where the additional factor used is rainfall in the previous time. In contrast to previous prediction research, the prediction process carried out in this study emphasizes the modeling of training data according to the desired prediction model.. These two things distinguish this research from previous studies. The prediction model used in this study is a classification-based prediction model that is the Artificial Neural Network (ANN) method combined with the backpropagation algorithm for calculating the weight of the ANN network. The data used are meteorological data from 2010 to 2018 in the Bogor area, where data from 2010 to 2016 are used as training data, and data from 2017 to 2018 are used as test data. The results of this study indicate that the design of the model with the use of data for 6 years with feature data of 5 factors has an accuracy rate of 83.33%.","PeriodicalId":137090,"journal":{"name":"International Journal on Information and Communication Technology (IJoICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127715594","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

Classification of Hadith Topic of Indonesian Translation Using K-Nearest Neighbor and Chi-Square 用k近邻法和卡方法对印尼语翻译中的圣训题目进行分类

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-12-24 DOI: 10.21108/ijoict.v7i2.573

Ghinaa Zain Nabiilah, Said Al Faraby, Mahendra Dwifebri Purbolaksono

{"title":"Classification of Hadith Topic of Indonesian Translation Using K-Nearest Neighbor and Chi-Square","authors":"Ghinaa Zain Nabiilah, Said Al Faraby, Mahendra Dwifebri Purbolaksono","doi":"10.21108/ijoict.v7i2.573","DOIUrl":"https://doi.org/10.21108/ijoict.v7i2.573","url":null,"abstract":"Hadith is the main way of life for Muslims besides the Qur'an whose can be applied in everyday life. Hadith also contains all the words or deeds of the Prophet Muhammad which are used as a source of the law of Islam. Therefore, many readers, especially Muslims, are interested in studying hadith. However, the large number of hadiths makes it difficult for readers or those who are still unfamiliar with Islam to read them. Therefore, we conducted a study to classify hadith textually based on the type of teaching, so that readers can get an overview or other reference in reading and searching for hadith based on the type of teaching more easily. This study uses KNN and chi-square methods as feature selection. We also carried out several test scenarios, including implementing stopword removal modifications in preprocessing and experimenting with selecting k values for KNN to determine the best performance. The best performance was obtained by using the value of k = 7 on KNN without implementing chi-square and with stopword removal modification with a hammer loss value of 0.1042 or about 89.58% of the data correctly classified.","PeriodicalId":137090,"journal":{"name":"International Journal on Information and Communication Technology (IJoICT)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127145117","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

STL Decomposition and SARIMA Model: The Case for Estimating Value-at-Risk of Covid-19 Increment Rate in DKI Jakarta STL分解和SARIMA模型:雅加达DKI地区Covid-19风险值增量率估算案例

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-07-08 DOI: 10.21108/ijoict.v7i2.553

Agnes Zahrani, Aniq A. Rohmawati, Siti Sa’adah

{"title":"STL Decomposition and SARIMA Model: The Case for Estimating Value-at-Risk of Covid-19 Increment Rate in DKI Jakarta","authors":"Agnes Zahrani, Aniq A. Rohmawati, Siti Sa’adah","doi":"10.21108/ijoict.v7i2.553","DOIUrl":"https://doi.org/10.21108/ijoict.v7i2.553","url":null,"abstract":"In this research, we propose an extreme values measure, the Value-at-Risk (VaR) based Seasonal Trend Loess (STL) Decomposition and Seasonal Autoregressive Integrated Moving Average (SARIMA) models, which is more sensitive to the seasonality of extreme value than the conventional VaR. We consider the problem of the seasonality and extreme value for increment rate of Covid-19 forecasting. For stakeholder, government and regulator, VaR estimation can be implemented to face the extreme wave of new positive Covid-19 in the future and minimize the losses that possibly affected in term of financial and human resources. Specifically, the estimation of VaR is developed with the difference lies on parameter estimators of STL and SARIMA model. The VaR has coverage probability as well as close 1-α. Thus, we propose to set α as parameter to estimate VaR. Consequently, the performance of VaR will depend not only on parameter model but also α. Our aim estimates VaR with minimum α based on correct VaR value. Numerical analysis is carried out to illustrate the estimative VaR.","PeriodicalId":137090,"journal":{"name":"International Journal on Information and Communication Technology (IJoICT)","volume":"1043 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123331195","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

Toxic Comment Classification on Social Media Using Support Vector Machine and Chi Square Feature Selection 基于支持向量机和x平方分布特征选择的社交媒体有毒评论分类

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-07-02 DOI: 10.21108/ijoict.v7i1.552

N. Azzahra, D. Murdiansyah, K. Lhaksmana

引用次数: 4

Neural Network on Stock Prediction using the Stock Prices Feature and Indonesian Financial News Titles 利用股票价格特征和印尼财经新闻标题的神经网络股票预测

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-07-01 DOI: 10.21108/ijoict.v7i1.544

Nur Ghaniaviyanto Ramadhan, Imelda Atastina

引用次数: 1

Comparative Analysis of QoE Multipath TCP Congestion Control LIA, CUBIC, and WVEGAS on Video Streaming 视频流上QoE多路径TCP拥塞控制LIA、CUBIC和WVEGAS的比较分析

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-06-30 DOI: 10.21108/ijoict.v7i1.534

S. Karimah, Fiqqih Maulana Susanto, Aji G. Putrada

{"title":"Comparative Analysis of QoE Multipath TCP Congestion Control LIA, CUBIC, and WVEGAS on Video Streaming","authors":"S. Karimah, Fiqqih Maulana Susanto, Aji G. Putrada","doi":"10.21108/ijoict.v7i1.534","DOIUrl":"https://doi.org/10.21108/ijoict.v7i1.534","url":null,"abstract":"Transmission Control Protocol (TCP) is a type of protocol that allows a collection of computers to communicate and exchange data within a network. Nowadays electronic devices such as tablets, personal computers and smartphones can use more than one network at the same time, but this is not supported by the characteristics of TCP which can only use one path on the network. To solve this condition there are several new generations of standardized network protocols. Multipath TCP is a development of TCP, Multipath which is a new generation network protocol that allows traffic to use multiple paths in the network. In addition to being able to use multiple paths on multipath TCP, there are several congestion control algorithms including LIA, CUBIC and WVEGAS congestion control algorithms. Tests conducted in this study were to compare the performance of congestion control LIA, CUBIC and WVEGAS to improve the quality of video streaming. From the test results, CUBIC is better than WVEGAS and LIA because the QoS and QoE video streaming test for CUBIC in all testing environment has better results than others.","PeriodicalId":137090,"journal":{"name":"International Journal on Information and Communication Technology (IJoICT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127508248","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

Forecasting the COVID-19 Increment Rate in DKI Jakarta Using Non-Robust STL Decomposition and SARIMA Model 基于非鲁棒STL分解和SARIMA模型的雅加达DKI COVID-19增长率预测

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-06-30 DOI: 10.21108/ijoict.v7i1.554

Rosmelina Deliani Satrisna, Aniq A. Rohmawati, Siti Sa’adah

{"title":"Forecasting the COVID-19 Increment Rate in DKI Jakarta Using Non-Robust STL Decomposition and SARIMA Model","authors":"Rosmelina Deliani Satrisna, Aniq A. Rohmawati, Siti Sa’adah","doi":"10.21108/ijoict.v7i1.554","DOIUrl":"https://doi.org/10.21108/ijoict.v7i1.554","url":null,"abstract":"The Corona virus known as COVID-19 was first present in Wuhan, China at this time has troubled many countries and its spread is very fast and wide. Data on daily confirmed COVID-19 cases were collected from the DKI Jakarta province between early May 2020 and late January 2021. The daily increase in confirmed COVID-19 cases has a percentage of the value of increase in total cases. In this study, modeling and analysis of forecasting the increment rate in daily number of new cases COVID-19 DKI Jakarta was carried out using the Seasonal-Trend Loess (STL) Decomposition and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. STL Decomposition is a form of algorithm developed to help decompose a Time Series, and techniques considering seasonal and non-stationary observation. The results of the best forecasting accuracy are proven by STL-ARIMA, there are MAPE and MSE which only have an error value of 0.15. This proposed approach can be used for consideration for the DKI Jakarta government in making policies for handling COVID-19, as well as for the public to adhere to health protocols.","PeriodicalId":137090,"journal":{"name":"International Journal on Information and Communication Technology (IJoICT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123020447","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

Performance Comparison of Several Range-based Techniques for Indoor Localization Based on RSSI 基于RSSI的几种距离室内定位技术性能比较

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-06-30 DOI: 10.21108/ijoict.v7i1.550

Dwi Joko Suroso, F. Y. M. Adiyatma, Ahmad Eko Kurniawan, P. Cherntanomwong

{"title":"Performance Comparison of Several Range-based Techniques for Indoor Localization Based on RSSI","authors":"Dwi Joko Suroso, F. Y. M. Adiyatma, Ahmad Eko Kurniawan, P. Cherntanomwong","doi":"10.21108/ijoict.v7i1.550","DOIUrl":"https://doi.org/10.21108/ijoict.v7i1.550","url":null,"abstract":"The classical rang-based technique for position estimation is still reliably used for indoor localization. Trilateration and multilateration, which include three or more references to locate the indoor object, are two common examples. These techniques use at least three intersection-locations of the references' distance and conclude that the intersection is the object's position. However, some challenges have appeared when using a simple power-to-distance parameter, i.e., received signal strength indicator (RSSI). RSSI is known for its fluctuated values when used as the localization parameter. The improvement of classical range-based has been proposed, namely min-max and iRingLA algorithms. These algorithms or methods use the approximation in a bounding-box and rings for min-max and iRingLA, respectively. This paper discusses the comparison performance of min-max and iRingLA with multilateration as the classical method. We found that min-max gives the best performance, and in some positions, iRingLA gives the best accuracy error. Hence, the approximation method can be promising for indoor localization, especially when using a simple and straightforward RSSI parameter.","PeriodicalId":137090,"journal":{"name":"International Journal on Information and Communication Technology (IJoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129130371","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

Classification of Dengue Hemorrhagic Fever (DHF) Spread in Bandung using Hybrid Naïve Bayes, K-Nearest Neighbor, and Artificial Neural Network Methods 基于混合Naïve贝叶斯、k -近邻和人工神经网络方法的万隆市登革出血热(DHF)传播分类

International Journal on Information and Communication Technology (IJoICT) Pub Date : 2021-06-25 DOI: 10.21108/ijoict.v7i1.562

Fatri Nurul Inayah, Sri Suryani Prasetiyowati, Yuliant sibaroni

引用次数: 1