Electricity consumption in Indonesia is expected to continue to grow by average of 6,5% per year until 2020. Therefore, PT. PLN had to make an effective subsystem that can provide electrical energy based on customer needs. The electrical energy is converted from the mechanical energy and can’t be stored. Because of that reason, if the electrical energy isn’t channeled properly then PT. PLN will suffer losses. It is necessary to plan a proper distribution system of electrical energy. The aim of this research is to predict short-term electricity consumption for Paiton’s subsystem in East Java Indonesia by using ARIMA and Multilayer Perceptron. The best model is measured based on MAPE, SMAPE, and RMSE value in data sample. The result of the analysis shows that Multilayer Perceptron method provides better accuracy rate for electricity consumption forecasting in Paiton subsystem based on peak load compared to ARIMA
The National Students admissions (SNPDB) for Madrasah Aliyah is managed by the Directorate of Madrasah Curriculum, Facilities, Institutions and Student Affairs. It is essential for the Directorate and Madrasah to explore patterns and knowledge from admission data in formulating policies and programs from to MAN. Educational Data Clustering (EDC) is a data mining method that is implemented in the education area. K-means is applied to group students based on the results of learning potential and academic potential tests that will be used for development program and student admission policies at MAN-IC. The best results from the experiments tested with Silhouette dividing the data into 2 clusters are excellent and good. The Silhouete value indicates the cluster structure in the medium predicate.. The results present the distribution of clusters in 23 MAN-IC, distribution of personality profiles of prospective students, as well as recommendations for conducting tests in Madrasah.
Department of IT M&T PT. Pertamina UPMS V Surabaya has currently implemented a management guideline based on COBIT 5.0 to support the process of monitoring and scheduling projects that will be implemented or currently being worked on PT. Pertamina UPMS V Surabaya. But in the process of implementing management guidelines, the department of IT M&T has not maximized the implementation of the monitoring and scheduling because it does not yet have a project management information system application. So far employees from the department of IT M&T use the process of monitoring and scheduling projects manually, namely by making a report in the form of an excel file for each progress of the projects. Of course, this is considered inefficient and often encounters human errors. Therefore, a web-based project management information system application was made, the application was built using the C3 programming language and Microsoft SQL Server database. Based on observation, it was concluding that the features available in the project management information system application had been running well and were able to meet the needs of users.
Tourism becomes a wealth that will not run out otherwise tourism will continue to grow if the management is getting better. Media relations becomes one of the alternatives in helping the promotion process of a tourist destination. This study aims to analyze the media relations strategy in promoting tourist destinations that focus on the Kutang beach district Lamongan. This research applies a qualitative naturalistic method where there is no manipulation of an event (background) of research. The result of this research is the use of media relations to be one of the main components in improving the development of coastal tourism destinations. Use of media relations applied: 1) Press Release Activity, 2) Conference Press, 3) Event, 4) Press Message. Some of these activities carried out by involving the community, managers, government, and tourists, so that the implementation of media relations activities can be maximized. Some media relations activities that have been carried out are press release activities, press conferences, special events. One of which dominating is a special event because it is considered by the speaker as a simple activity that is able to have a tremendous impact, with the event, media partners from themselves will involve themselves in the event activities. Besides conducting media relations, it is also necessary to establish segmentation and clear segmenting. It is also necessary to do tourism differentiation to create sustainable tourism.
Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data. However, there are several obstacles that are often encountered in the decision tree method. Running time required for the execution of this algorithm is quite long, so this study proposed to use the ant tree miner algorithm which is a development algorithm from the C4.5 decision tree. Ant tree miner works by utilizing ant colony optimization in the process of building its tree structure. Use ant colony optimization expected can optimize the tree that will be formed. From the testing that have been carried out, an accuracy of about 95% is obtained in the process of classifying Zoo dataset with the number of ants between 60 - 90.
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