2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)最新文献_第4页

Simplified Methods of Particle Trajectory Generation in Time Projection Chamber for Machine Learning Based Particle Momentum Classification 基于机器学习的粒子动量分类时间投影室粒子轨迹生成的简化方法

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8721019

Muhammad Arifin Dobson, Rifki Sadikin

引用次数: 0

Social Commerce as a Media to Create Brand Equity of Higher Education 以社交商务为媒介创造高等教育品牌资产

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/icitisee.2018.8721024

D. Saputra, Berlilana, Sitaresmi Wahyu Handani

引用次数: 2

Comparative Study of Maximum Boost Control Z-Source Inverter with SPWM-VSI for Induction Motor Drive 感应电机驱动最大升压控制z源逆变器与SPWM-VSI的比较研究

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/icitisee.2018.8721013

I. Ferdiansyah, Sutedjo, D. S. Yanaratri, L. Raharja

引用次数: 7

Influence Factors in The Fall of Music Industry and The Emergence of New Digital Music Service Player in The Digital Music Transformation - A Systematic Literature Review 数字音乐转型中音乐产业衰落的影响因素及新型数字音乐服务播放器的出现——系统文献综述

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720993

Nanang Husin, A. Hidayanto

引用次数: 2

An Experimental Study of Text Preprocessing Techniques for Automatic Short Answer Grading in Indonesian 印尼语短文自动评分文本预处理技术的实验研究

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720957

U. Hasanah, Tri Astuti, R. Wahyudi, Zanuar Rifai, Rilas Agung Pambudi

{"title":"An Experimental Study of Text Preprocessing Techniques for Automatic Short Answer Grading in Indonesian","authors":"U. Hasanah, Tri Astuti, R. Wahyudi, Zanuar Rifai, Rilas Agung Pambudi","doi":"10.1109/ICITISEE.2018.8720957","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8720957","url":null,"abstract":"The preprocessing phase in information retrieval is intended to reduce the size of the text. Previous studies have used many preprocessing techniques in several applications such as Clustering, Classification, Document Indexing, Summarization, and Automatic Essay Grading. In this study we aim to conduct an experimental study to measure the effectiveness of preprocessing techniques in Automatic Short Answer Grading (ASAG) using questions and answers in Indonesian. As previously known, Indonesian has a different morphology from English. With the limitations of Indonesian language processing tools, we are working on several processing techniques that can be used, such as Case Folding, Tokenization, Punctuation Removal, Stopword Removal, and Stemming. We use data consisting of 6 questions and each question answered by 32 students. As a reference answer, we will use one teacher’s answer on each question. Technically, we conducted two types of experimental studies. In the first experiment, we carried out two types of pre-processing techniques, namely Punctuation Removal and Tokenization. In the second experiment, we added three other preprocessing techniques, namely Case Folding, Stemming, and Stopword Removal. We measure the similarity values of teacher and student answers using the Cosine Similarity method. Next, we calculated the correlation values and Mean Absolute Error to measure the effectiveness of the preprocessing techniques that have been used. In the end, the results of the paired-samples t-test showed that there were no significant differences in the two experiments.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129804085","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: 17

Design and Implementation Unipolar SPWM Full-Bridge Inverter Using Fuzzy Sugeno in DC Microgrid Isolated System 基于模糊Sugeno的单极SPWM全桥逆变器在直流微网隔离系统中的设计与实现

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8721032

I. Sudiharto, Sutedjo, F. Murdianto, Epyk Sunarno, Syechu Dwitya Nugraha, O. Qudsi

{"title":"Design and Implementation Unipolar SPWM Full-Bridge Inverter Using Fuzzy Sugeno in DC Microgrid Isolated System","authors":"I. Sudiharto, Sutedjo, F. Murdianto, Epyk Sunarno, Syechu Dwitya Nugraha, O. Qudsi","doi":"10.1109/ICITISEE.2018.8721032","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8721032","url":null,"abstract":"Electricity is a very important requirement for everyday life. Electrical energy needs depend on fossil energy so far, while the availability of fossil energy is dwindling along with increasing electricity demand in the community. To overcome this problem a microgrid system is implemented. The power source of this microgrid system is a DC (Direct Current) power source originating from PV and the battery is then channeled to the DC bus with a voltage that is kept constant at 400 Volts dc by a DC-DC converter. The voltage source coming from the DC bus will be converted to AC (Alternating Current) 220 volts. In an effort to save energy in the system, an inverter is needed that consumes less power in the conversion process and uses methods that can increase efficiency in its use. In this case the unipolar switching technique has high efficiency processes. After the inverter is given an LC filter to make the inverter output into pure sine. Fuzzy Sugeno is used to maintain the inverter output voltage in a dynamic load state.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399032","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: 3

Linear Regression Method to Model and Forecast the Number of Patient Visits in the Hospital 用线性回归方法对医院就诊人数进行建模和预测

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/icitisee.2018.8720979

Wiga Maaulana Baihaqi, Melia Dianingrum, K. Ramadhan, T. Hariguna

{"title":"Linear Regression Method to Model and Forecast the Number of Patient Visits in the Hospital","authors":"Wiga Maaulana Baihaqi, Melia Dianingrum, K. Ramadhan, T. Hariguna","doi":"10.1109/icitisee.2018.8720979","DOIUrl":"https://doi.org/10.1109/icitisee.2018.8720979","url":null,"abstract":"The results accurate prediction on a census of patients in the hospital unit is very important for patient safety, health results and resource planning. The limitations of the ability to control the census and clinical tests in Cilacap area General Hospital became the reason for the importance of census forecasts at the hospital. The alternative of divination using the census of the average remains from the previous year on clinical practices have limited because of the variation of the census. The purpose of this research is to : (i) analyzing the census RSUD Cilacap every month in patients outpatient hospitalization, emergency and to develop models of divination the census, (ii) to evaluate the level of accuracy of the model compared with the average census approach remains. The data used in this study are the five years of census data at Cilacap Regional Public Hospital per month retrospectively for model development (January 2011 – December 2015) and two years of data for validation (January 2016 – December 2017). Simple linear regression method and Random Forest (RF) is used to make a forecast model for the number of inpatients, outpatient, and emergency patient visits. The model obtained was evaluated using MAPE. Based on the results obtained, the linear regression algorithm has the better performance compared to random forest algorithms in forecasting the number of inpatients, outpatients, and emergency patients visits.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134097559","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

Risk Analysis Development of Solar Floating Power Plant in The Sea with Monte Carlo Method 基于蒙特卡罗方法的海上太阳能浮动电站风险分析开发

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720956

J. Wirawan, I. Garniwa

{"title":"Risk Analysis Development of Solar Floating Power Plant in The Sea with Monte Carlo Method","authors":"J. Wirawan, I. Garniwa","doi":"10.1109/ICITISEE.2018.8720956","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8720956","url":null,"abstract":"The use of fossil energy has continuously resulted in reduced reserves of energy resources, and many negative impacts such as air pollution that led to global warming. As a remedy to overcome it is developed and attempted to use renewable energy from a source of solar radiation or so-called solar power. According to IRENA calculations in 2030 Indonesia has the potential of solar photo voltaic energy of 532.6 GW of which 140.9 GW is located in the Maluku and Papua. This research is aimed to measure the possibility or risk impact of floating solar power plant development in Kei Kecil Island, Southeast Maluku as risk assessment using Monte Carlo method so that risk can be expected to be handled properly. The scope of this research are technical, economic, commercial, organizational and political aspects. According to the calculation result that the total risk is 4.12 which is in ALARP zone and after simulation got value 3,89 with the most influential risk factor is Cost of Energy (CoE). The renewal of this research is solar panel technology in marine waters with the location of Kei Kecil Island as a remote area in Indonesia.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133054976","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: 3

Decision Support System for Stock Prediction and Supplier Selection Using Least Square and C4.5 Algorithm 基于最小二乘法和C4.5算法的库存预测和供应商选择决策支持系统

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8721001

B. P. Candra, E. Saputra, Ruhamah, K. Wicaksono, Kusrini

{"title":"Decision Support System for Stock Prediction and Supplier Selection Using Least Square and C4.5 Algorithm","authors":"B. P. Candra, E. Saputra, Ruhamah, K. Wicaksono, Kusrini","doi":"10.1109/ICITISEE.2018.8721001","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8721001","url":null,"abstract":"The development of a business is duly offset with a system capable of supporting the development of the business. A distro that runs a fashion product sales business requires a system that is able to predict the amount of stock that needs to be provided for the next month. The company also needs a system capable of recommending the right supplier choice based on the company’s needs. The supplier selection is conventionally only the owner of the company that could be decisive. To improve the efficiency of the company’s work system it is necessary to have a system that becomes an alternative to supplier selection when the business owner can not do it. The least Square method is used to predict the stock needs of goods an C4.5 algorithms to provide supplier selection solution. Tests on least square method using MAPE showed mean error in odd period modeling of 3.40%, while for even period of 34.25%. The C4.5 algorithm test using cross validation showed an accuracy of 60%. Performance indicated by least square method for odd period modeling is better than modeling in even period. The C4.5 algorithm also showed good accuracy for decision support settlement.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134332590","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

A Proposed Model Of Neural Network For Rupiah Exchange Rate’s Prediction 印尼盾汇率预测的神经网络模型

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720962

Primandani Arsi, Oman Somantri, U. Hasanah, Tri Astuti, Mohammad Imron, Retno Waluyo

引用次数: 1