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This research provides real-time analysis and processing exploration into load rate data of main shaft of triaxial hard track machine with Industry 4.0 through case companies so as to explore the reasons affecting the abnormality of load rate data of main shaft of machine. First of all, Delphi technique expertise questionnaire is used to find out the reasons for the abnormality of load rate of main...
Nowadays, mobile operators are faced with difficult conditions, where subscriber growth rate is already at its peak. Revenue growth is also declined because legacy services are tend to decreased due to threat from OTTs. Therefore we need a strategy to be able to withstand these conditions, one of which is a glance at the digital market. Strategy to offer digital services is developed in order to increase...
The hospitality industry in Indonesia continues to experience growth from year to year. Along with this development, the use of information technology, which is the basis of the information system, should be considered as a very useful tool to survive in the competition in the hospitality industry. Previous studies have widely discussed the role of information systems at the strategic level. Including...
In the recent years, the number of social media, such as Facebook, LinkedIn, Tumblr have been increasing regularly, have become ideal platforms for a large number of users at lower costs. However, social media helped companies get known by a wider public and collect the relevant information's about customers, their needs and their expectations. Therefore, several decision makers have worked on these...
In response to globalization, International Financial Reporting Standards (IFRS) has become the norm of the global capital markets. Companies preparing financial statements using IFRS may make the financial situation fully disclosed. Nevertheless, an overestimated accrual expense of a balance sheet may not only underestimate the earnings data, but also increase the cash outflows of the statement of...
The paper considers the risk management improvement issues of the SIEM-system relevant nodes based on calculations of objective evaluations to improve the reliability of subjective assessments, and improving the protection of information resources in information systems. This technique is intended for the organization of information operational protection in the company information systems in real...
BI (Business Intelligence) is an important discipline for companies and the challenges it faces are strategic. A central concept in BI is the data warehouse, which is a set of consolidated data from heterogeneous sources (usually databases in 3NF). To model the data warehouse, the Inmon and Kimball approaches are the most used. Both solutions monopolize the BI market However, a third modeling approach...
Anomaly detection comprises the identification of observations which do not follow the expected patterns of the assumed data set. We attempt to simplify the problem of textual anomaly detection by constructing a Multinomial Naïve Bayes classifier and enhancing it with an augmented Expectation Maximization (EM) algorithm. By doing so, we utilize large amounts of unlabelled data and show how the EM...
Nowadays, data analytics techniques are playing an increasingly crucial role in financial services due to the huge benefits they bring. To ensure a successful implementation of an analytics project, various factors and procedures need to be considered besides technical issues. This paper introduces some practical lessons from our deployment of a data analytics project in a leading wealth management...
Companies with high quality production systems like the automotive industry OEM's (Original Equipment Manufacturer), need to control the containers in which the raw materials are delivered onto the production lines to make sure quality standards are not breached. They commonly have to change the containers from their suppliers to special clean vessels. Hence a new flow of residues is created by this...
Optimization of control policies for corporate customer relationship management (CRM) systems can boost customer satisfaction, reduce attrition, and increase expected lifetime value of the customer base. However, evaluation of these policies is often complicated. Policies can be evaluated with real-life marketing interactions, but such evaluation can be prohibitively expensive and time consuming....
Customization of the existing software for a new customer can become problematic if negative factors are not controlled and prevented. This paper discusses customization of software product line (SPL) for an unprepared environment and emphasis importance of identifying this risk factor. The SPL can be viewed as a set of applications for similar environments that share many common elements (processes,...
Data from utility meters (gas, electricity, water) is a rich source of information for distribution companies, beyond billing. In this paper we present a supervised technique, which primarily but not only feeds on meter information, to detect meter anomalies and customer fraudulent behavior (meter tampering). Our system detects anomalous meter readings on the basis of models built using machine learning...
We have deployed a big data platform for the insurance company. One can select the data they need from database, do data analysis job and save the final model to the model pool using the platform. We completed churn prediction task on both SPSS [1] and Spark [7] using the data providing by X insurance company and carefully compared the execution flow, runtime, model evaluation, and model precision...
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based decision making in oil and gas industry during exploration, drilling and production. In oil and gas industry architectural model is offered for integration...
An important goal of the renewable energy law is to promote new energy enterprises to better take the social responsibility, so, the research on the impacts of the law to the correlation between CSR and Financial Performance is meaningful. Using the panel data regression model, we make a comparison about the relevance of renewable energy corporate social responsibility and financial performance before...
This paper focus on building recommender system with weighted parallel hybrid method for e-commerce in Indonesia. The dataset was derived from one of the largest ecommerce company in Indonesia. The experiments used three sampling techniques, namely bootstrapping validation, timing series and systematic sampling. The best result of these experiments yields F1-measure of 9.99% which is achieved by the...
This paper presents an IEC 61850 standard-based communication and aggregation solution for Demand-Response application, which allows end devices automatically detected, configured and integrated to the overlying Demand-Response system, thereby greatly increasing the integration efficiency, and making large scale of deployment feasible. This communication solution is dedicated to one community-wide...
There exists a class of problems in e-commerce and retail businesses where the shopping behavior of customers is analyzed in order to predict their repeat behavior for products or retail stores. This analysis plays a crucial role in advertisement budgeting, product placement and relevant customer targeting. Researchers have addressed this problem by using standard predictive models, which use ad hoc...
This study is targeting on improving the current practices of Company A through simulating its supply chain. We present the data collected from Company A and then build the simulation model as a discrete event system. The simulation model as a multi-product, multi-component, and multi-echelon supply chain is thus used to identify main challenges faced by Company A under the normal operational condition.
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