Humans are basically curious creatures. We always look for all the latest information through books or news. News usually contains tags or categories to make it easier to find similar news. It can be done manually by ...
Humans are basically curious creatures. We always look for all the latest information through books or news. News usually contains tags or categories to make it easier to find similar news. It can be done manually by a human or with a machine to make it easier. Data mining techniques such as clustering and classification can be used to help the categorization process. Clustering is a technique that can be used to grouped news based on their similarity. There is some algorithm that can be used to clustering data. One of them is Ant Colony Optimization (ACO). ACO is a metaheuristic algorithm that mimics how ants bring food to the colony. ACO also can be used to solve the clustering problem. In this paper, we will use the ACO version for clustering to cluster news and find the performance of the said method. Then we compare the result with ground truth.
We as a human can not avoid the disease, and when we are sick, we need to see a practical doctor. However, in term of location and patient's right for changing the practical doctor, then the patient when moving fr...
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It is difficult for small businesses to evolve without utilizing an adequate system which is able to manage information within the business entity efficiently. The reporting system commonly used utilizes query which c...
It is difficult for small businesses to evolve without utilizing an adequate system which is able to manage information within the business entity efficiently. The reporting system commonly used utilizes query which consumes a large amount of time in order to generate results fulfilling requirements set by the user. In order to simplify and speed up reporting in digital world and eventually results in improvement of business, the business entity needs a system which can address problems quickly and easily. In this paper, data warehouse system which could simplify and speed up the reporting provisions that is needed by the business without having to modify the existing query being implemented. With Kimball approaches, the data to be reported could be customized in various forms in accordance with the requirements set by the entity.
The usage of user telemetry to gather player behavioral data on video games can be very beneficial to game developers with a certain business model. With the help of user telemetry in game development, it can provide ...
The usage of user telemetry to gather player behavioral data on video games can be very beneficial to game developers with a certain business model. With the help of user telemetry in game development, it can provide access to data on user behavior from installed game clients' platform such as Steam. These behavioral data can be used to find out the Steam user behavioral patterns on playtime distributions that can be studied by developers in order to have a deeper understanding of the behaviors of their players. In this study, the data are clustered using the k-prototypes algorithm, a combination of k-means and k-modes algorithm that can be used to cluster mixed attributes. The result shows that the clusters represent the types and preferences of the players.
As the executor of the transfer of civil servants, BKD (Badan Kepegawaian Daerah) is required for professionals in carrying out their duties in mutation positions for civil servants. This study implements a mutation s...
As the executor of the transfer of civil servants, BKD (Badan Kepegawaian Daerah) is required for professionals in carrying out their duties in mutation positions for civil servants. This study implements a mutation system for civil servants by using Naive Bayes Classifier Algorithm. This study is implemented in Secretariat District Regency of Pelalawan, Riau Indonesia, This system uses some attributes such as age, total work period, education background and implemented on a web based application. This approach is an approximation to Bayes theorem which is the principle of statistical opportunity to combine previous knowledge with new knowledge. This system is very effective classification algorithm (get the right results) and efficient which can be a basic reason in mutation civil servants.
The Data Center is the center of the company’s data management operations as well as the largest energy consumer to support the operations of information technology infrastructure. Therefore, the company must have a ...
The Data Center is the center of the company’s data management operations as well as the largest energy consumer to support the operations of information technology infrastructure. Therefore, the company must have a strategy for implementing information systems and information technology related to the data center. The purpose of developing this article is to increase the efficiency of the company’s data center electricity load and help companies move towards green computing that is environmentally friendly. The direct survey method was conducted through interviews with related information technology staff, and field data collection. While the green grid method is used to analyze green Information Technology (IT) and for project appraisal, discounting models are used, namely Net Present Value (NPV) and internal rate of return (IRR). The results of the study prove that the company’s PUE (Power Utilization Effectiveness) and DCiE (Data Center Infrastructure Efficiency) are not efficient. In addition, the company’s data center information technology equipment has inefficient usage, causing waste of electricity costs. The conclusion that can be drawn from this research is that green data centers are able to solve various problems of managing data centers that are environmentally friendly and support sustainable competitive advantages for companies.
Every organization must ensure that information assets are protected and information security system has been implemented well. PT. IndoDev Niaga Internet is a provider of business solutions applications and implement...
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Industry 4.0 has been revolutionizing the way companies do business from production, development, selling, and distribution of their product. Digital marketing is one of the marks of Industry 4.0; a fusion of technolo...
Industry 4.0 has been revolutionizing the way companies do business from production, development, selling, and distribution of their product. Digital marketing is one of the marks of Industry 4.0; a fusion of technology and marketing as well as proof of how technology has changed the pattern of human life. Artificial intelligence as part of technology products has been implemented in marketing activities from awareness to retention, such as chatbots, programmatic ads, email marketing, and search engines. Users need to understand the patterns and prerequisites needed of each artificially intelligent product to optimize the marketing.
In the Sustainable Development Goals (SDGs), one of the goals to be achieved in 2030 is quality education. However, the occurrence of the Covid-19 pandemic is a challenge because learning must be carried out remotely ...
In the Sustainable Development Goals (SDGs), one of the goals to be achieved in 2030 is quality education. However, the occurrence of the Covid-19 pandemic is a challenge because learning must be carried out remotely so that it has the potential to interfere in achieving these goals. The use of the Learning Management System (LMS) as a distance learning media has increased during the Covid-19 pandemic. LMS is expected to be able to restore the quality of learning during the new normal and after the pandemic. However, there are still many difficulties and dissatisfaction in its implementation. Several dimensions must be considered in the implementation of LMS, such as technology, organizational, Human Resources, organizational environment, and learning content dimension. The implementation of LMS must be planned carefully and according to needs, supported by job holders, adequate understanding and cost planning.
In daily banking customer queues, unknown waiting-time could lower customer experience. Little's Law formula in Queue Theory provides a generic formula for waiting-time, but it cannot be implemented directly to gi...
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