The biggest marketplace in Indonesia such as Tokopedia has data on e-commerce activities that always increase with time. Large data growth in Marketplace can cause problems for users. Buyers who have difficulty in finding the best product that suits their needs and sellers who have difficulty in promoting products that are often visited by buyers can be overcome. The recommendation system can overcome these problems by providing specific product recommendations to be promoted and offered to buyers. This research implements the Recommendation System using the Item Rating Prediction Method by applying the User K-Nearest Neighbors Algorithm. The Recommendation System provides recommendations based on ratings on products given by the buyer. Algorithm performance in Recommendation System is measured by the parameters of Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Normalized Mean Absolute Error (NMAE). The performance values obtained are RMSE = 0.713, MAE = 0.488 and NMAE = 0.122. Perfomance values below 1 proves that the User K-Nearest Neighbors Algorithm is suitable as a rating prediction model on recommendation system.
Pelaksanaan seleksi Calon Pegawai Negeri Sipil (CPNS) dilakukan berdasarkan peraturan Badan Kepegawaian Negara di lingkungan instansi pemerintah. Seleksi tes cpns dilakukan dengan beberapa tahapan. Seleksi Kompetensi Dasar (SKD) merupakan tahapan yang diuji berdasarkan parameter penilaian Tes Wawasan Kewarganegaraan (TWK), Tes Intelegensi Umum (TIU), dan Tes Karakter Kepribadian (TKP). Hasil dari SKD dianalisis menggunakan Data Mining. Metode Data Mining yang digunakan yaitu Decision Tree. Berdasarkan penelitian yang dilakukan pada 344 peserta SKD di Arsip Nasional Republik Indonesia adalah nilai Accuracy = 92.23%, Classification Error = 7.77%, Kappa = 0.879, Recall = 94.84%, dan Precision = 95.79%.
Currently messages can be transmitted using information and communication technology. The message that is transmitted can contain data and information that is privacy or confidential. Messages that are confidential and privacy are only intended for parties that have been determined. Attacks by unauthorized parties may occur during the process of sending the message. Security in a private or confidential message exchange system is very much needed. The message exchange system is regulated by protocol to avoid certain party attacks. The method used in this research is the Denning-Sacco Protocol which is implemented in the exchange of messages from the sender to the recipient. This protocol uses a security key generated by the Key Distribution Center (KDC). The Denning-Sacco Protocol was developed from the Needham-Schroeder Protocol. This study produces an overview of the architecture of the Denning-Sacco Protocol to overcome the weaknesses of the Needham-Schroeder Protocol called the relpy attack. The steps of exchanging messages using the Denning-Sacco Protocol are explained in detail.
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