Sembiring, Rahmat W
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Analysis of Data classification accuracy using ANFIS algorithm modification with K-Medoids clustering Br Bangun, Desy Milbina; Efendi, Syahril; Sembiring, Rahmat W
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11610

Abstract

The ANFIS algorithm is a technique in data mining that can be used for the data classification process. The ANFIS algorithm still has weaknesses, especially in determining the initial parameters for the network training process. Thus, an additional algorithm or modification is needed for the determination of these parameters. In this study, a clustering method will be proposed, namely K-Medoids Clustering as an additional method to the ANFIS algorithm. Basically, the ANFIS algorithm uses the FCM (Fuzzy C-Means Clustering) algorithm for the initial initialization of network parameters. The use of this method can cause local minima problems, where the clustering results obtained are not optimal because the pseudo-partition matrix generation process is carried out randomly. The matrix value will determine the initial parameter value in the ANFIS algorithm used in the first layer. Based on the research that has been done, it can be concluded that the accuracy of data classification using the ANFIS algorithm which has been modified with the proposed method provides a fairly good influence in conducting training and classification testing. The increase that occurs in the proposed method is 0.73% for the average training accuracy and an increase of 0.66% for the average testing accuracy.
Three Pass Protocol for Key Security Using Affine Cipher Algortima and Exclusive-or (Xor) Combination Harahap, Muhammad Ikhwan; Suherman, Suherman; Sembiring, Rahmat W
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13051

Abstract

Information is a very important concern in today's technological era, especially in terms of security through the exchange of information that is so fast that people can easily get various kinds of information. Information obtained easily through recording or openly disseminating data, XOR Cipher is an algorithm used to secure messages and texts but has weaknesses due to simple computation, therefore to strengthen security in XOR Cipher communication protocols can be added to secure key exchange on XOR Ciphers. Affine Cipher can be combined with Exclusive-OR (XOR) for text message security. Through the Affine Cipher algorithm with Key can change the unknown Plaintext, so that the Plaintext is kept secret. The Exclusive-OR (XOR) combination by changing each Character in each Plaintext according to the ASCII Code table can shorten the Key encoding process, so that Plaintext remains safe to send. The Affine Cipher Algorithm and the Exclusive-OR (XOR) Combination for Plaintext security levels are better because the Plaintext encryption and decryption processes are carried out twice with different cryptographic algorithms.