Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Eko Pramono
Magister Teknik Informatika Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Perbandingan Tingkat Performa Metode K-Means dan Hierachical Clustering Pada Sistem Rekomendasi Pemilihan Kost Aiman Ayadi; Kusrini; Eko Pramono
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 1 No. 2 (2020): Desember 2020
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.987 KB) | DOI: 10.46764/teknimedia.v1i2.27

Abstract

The development of technology is currently getting more advanced and growing faster, especially in the field of information technology. The existence of houses in the vicinity of public facilities is very desirable and beneficial for newcomers to a new area. One of the public facilities that usually have boarding is a university or college. Students who study at a university do not only come from within the city but also come from outside the region. However, most students from outside the region have difficulty choosing boarding or rented houses due to limited information. Limited information about the facilities and the inaccuracy of boarding houses becomes a difficulty at the beginning for those who are new students. With the advancement of information technology, it can answer the need for finding a boarding house, and will be very helpful both from the side of the owner and tenant. To solve complex problems, you can use the K-Means Clustering and Hierarchical Clustering algorithm models that are optimized with naïve Bayes. The final result of this study is that the K-Means and naïve bayes accuracy values ​​are higher with 90.82% accuracy, 90.56% precision, 90.68% recall and longer time that is 10 seconds, while for hierachical and naïve values. Bayes got 88.02% accuracy, 87.82% precision, 88.00% recall and 7.6 seconds faster time
Co-Authors Aiman Ayadi Kusrini