D. R. Prehanto
Universitas Negeri Surabaya

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Performance analysis routing protocol between RIPv2 and EIGRP with termination test on full mesh topology D. R. Prehanto; A. D. Indriyanti; G. S. Permadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp354-361

Abstract

Data access on a company is a very important part of an institution or a college. Especially in the present time, the internet has become an important thing in human life. With the existence of certain means there is a problem that will arise, needed solution or way out on a network that can be called protocol. Because an institution needs to choose network methods properly and safely.This study focuses on addressing the path/route of data packets to be sent will be governed by this routing protocol in the form of table routing. Routing used adip RIPv2 with EIGRP which will be compared on both routing protocol which is better against predetermined situation previous.The result of the research using CISCO Packet Tracer 7.10 software shows that EIGRP routing run on two topologies has faster convergence time speed with an average time of 0.01 - 0.02 seconds as well as the change of its routing table at once. Unlike RIPv2 routing that takes longer than EIGRP routing is with the time range from 0.01 to 0.19. 
K-means method for clustering learning classes A. D. Indriyanti; D. R. Prehanto; T. Z. Vitadiar
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 2: May 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i2.pp835-841

Abstract

Learning class is a collection of several students in an educational institution. Every beginning of the school year the educational institution conducts a grouping class test. However, sometimes class grouping is not in accordance with the ability of students. For this reason, a system is needed to be able to see the ability of students according to the desired parameters. Determination of the weight of test scores is done using the K-Means method as a grouping method. Iteration or repetition process in the K-Means method is very important because the weight value is still very possible to change. Therefore, the repetition process is carried out to produce a value that does not change and is used to determine the ability level of students. The results of the class grouping test scores affect the ability of students. Application of K-Means method is used in building an information system grouping student admissions in an educational institution. Acceptance of students will be grouped into 3 groups of learning classes. The results of testing the system that applies K-Means method and based on data on the admission of prospective students from educational institutions have very high accuracy with an error rate of 0.074.