Text mining can be used to classify opinions about complaints or not complaints experienced by XL customers. This study aims to find and compare classifications in the sentiments of analysis from the view of XL custom...
Text mining can be used to classify opinions about complaints or not complaints experienced by XL customers. This study aims to find and compare classifications in the sentiments of analysis from the view of XL customers. This dataset was derived from tweets of XL customers written on myXLCare Twitter account. In text mining techniques, 'transform case', 'tokenize', 'token filters by length', 'n-gram', 'stemming' were used to build classification and sentiments of analysis. Gataframework tools were used to help during preprocessing and cleansing processes. RapidMiner is used to help create the sentiment of analysis to search and compare two different classifications methods between datasets using the Naïve Bayes algorithm only and Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE). The results of the two methods in this study found that the highest results were using the Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE) with an accuracy of 86.33%, precision 82.85%, and recall ratio 92.38%.
The purpose of this study is to determine the factors that encourage the use of visual electronic banking system (VEBS) application in Bank Central Asia Corporation, and provide an idea to increase the use of VEBS. Th...
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Information technology enables for new way of commerce, which is a commerce activities through online media (e-commerce). Security becomes an important issue in online-system, because such system is accessible by anyo...
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Breast cancer is one of the deadliest cancer for female nowadays. Despite of the rapid advancement in medical image analysis with the rise of deep learning, development of breast cancer detection system is limited due...
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Deep Learning is currently the state-of-the-art technique for various computer Vision tasks, including object counting. Despite of its high performance, Deep Learning requires a gigantic amount of training data to sho...
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In this era the business competition between regions and countries will be more stringent. One way to survive and improve its performance is through the management of information, it is necessary to be able to see and...
In this era the business competition between regions and countries will be more stringent. One way to survive and improve its performance is through the management of information, it is necessary to be able to see and assess the company from a variety of perspectives. One of the keys to surviving and playing a role is to manage complete, fast and precise information. Data analysis will be easy if the required data is available. Business intelligence techniques (BI) can be used to assist in the decision-making process. Many organization and educational institution have implemented BI as the support system. Therefore, we make a comparison study about BI research finding from several articles. From the comparison study it can be seen the research in the BI field is continues to grow and also following the technology trend. This can be seen from the topics discussed in the journal articles in the period 2010-2017. This study is conducted to see the spread and trend of business intelligence research in various forms of organization. Also can be seen the advantages of BI in the decision-making process.
A road traffic engineering (RTE) is realistically required to reduce the road traffic congestion (RTC) degree. The congestion negatively affects not only to economy and physiology factors, but also for human environme...
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Indonesia had been suffered by earthquake and tsunami for many centuries. Since many lives have taken by tsunami strikes, alert and response system are very important as important part of Disaster Risk Reduction, espe...
Indonesia had been suffered by earthquake and tsunami for many centuries. Since many lives have taken by tsunami strikes, alert and response system are very important as important part of Disaster Risk Reduction, especially in area with high population density. This research conducted in Kangkung fishing village in Bandar Lampung coastal area which is an earthquake and tsunami prone area. The aim of the research is to study alert and response of Community Based Disaster Risk Reduction. The research conducted by qualitative method and purposive-descriptive approach. There were 53 respondents which participated in the survey and interview. It is reported that 'Smart Resilient City' model suitable for community needs of alert and response of earthquake and tsunami disaster. This research meets conclusion that 'Smart Resilient City' model may become a great solution in Community Based Disaster Risk Reduction to cope with the hazard of earthquake and tsunami comprehensively and sustainably.
After Large-Scale Social Restriction (PSBB) established in Jakarta, a change of air quality was indicated by the citizens. Representatives of Indonesia's Agency for Meteorology, Climatology, and Geophysics (BMKG) ...
After Large-Scale Social Restriction (PSBB) established in Jakarta, a change of air quality was indicated by the citizens. Representatives of Indonesia's Agency for Meteorology, Climatology, and Geophysics (BMKG) supported as the fact that mobility of Jakarta's citizen and commuters were reduced. With utilizing Weather Data Acquisition System managed by BMKG, this research compared fluctuations of Jakarta's air quality during two periods of time: Pre-PSBB and During-PSBB. This study proved that Jakarta's air quality has positively improved compared to the previous year, although in the lower range of unhealthy level.
As a company which relates its customer service, a software company (this case is PT Boon Software) is induced to give the good service to its customer. The existing information technology (IT) system service is made ...
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