Employee performance is one element that greatly determines the quality of an organization, both government and private. Employee performance appraisal has become a routine for most companies. Performance appraisal is required for the process of salary increases, promotions, and demotions. Until this research was carried out, the processing of employee performance appraisal and evaluation at Prasama Bhakti Foundation was still done manually, so that sometimes employee promotions were carried out late or even on an inconsistent basis for each employee. Therefore, it is necessary to group data with the help of machine learning that can help predict the eligibility of an employee to get a promotion based on his performance. Classification is one method for classifying or classifying data that are arranged systematically. Decision tree and logistic regression methods are classification or grouping methods that have been widely used for solving classification problems. In this study, it will be explained how the process of processing employee performance appraisal data starts from data preparation to determine the accuracy of the decision tree model and logistic regression that is formed. The two classification models are used to predict employee performance as a recommendation for employee promotion at the Prasama Bhakti Foundation.
Much of the latest information is spread through web news portals and has the difficulty of finding a desired content. It takes time to browse through many portals and identify the desired content. To track any updates from a web portal can be used Really Simple Syndication (RSS) technique. By using the technique of syndication it can be made a search engine that allows to bring the desired content from the number of news web portals. Implementation of AJAX-SOAP web service will make the resulting search engine responsive and have good interoperability.
Currently, Indonesian government is changing the government system into an Sistem Pemerintahan Berbasis Elektronik (SPBE) or often heard as e-government. With this change in the government system, it has an impact on various sector of life. One of many sectors is construction service sector. LPJK as a non-structural institution under Ministry of Public Works and Public Housing issued a letter to the construction services association regarding the development of integrated application with SIKI LPJK. LPJK and OSS institutions has implemented digital signatures on business entity licensing document. Construction service associations has responded to develop of these regulations by creating an association information system application that implements digital signatures. This research was conducted to apply an digital signatures to the validation of the Membership Card using the secure hash algorithm (SHA) and advanced encryption standard (AES) methods generated through the association information system. This application generates an digital signatures which is implemented with QR Code. The existence of this application is expected to be a form of support for the government which is making changes to the government system.
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