Jurnal SINTA 2
Klustering Dengan K-Means Berbasis LVQ Dan K-Means Berbasis OWA
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 2 No. 1 (2015) · pp. 29–33
- ISSN
- 2528-6579, 2355-7699
- Published
- 2015-12-20
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
Abstrak Pada penelitian ini dilakukan pembandingan hasil klustering pada data car evaluation dengan menggunakan K-Means berbasis LVQ (Learning Vector Quantization) dan K-Means berbasis OWA (Ordered Weighted Averaging). Pada kedua metode ini sama-sama mempergunakan K-Means tetapi yang sudah mengalami modifikasi. Hasil dari penelitian sebelumnya secara terpisah yang membandingkan metode K-Means modifikasi tersebut dengan K-Means konvensional menunjukkan bahwa kedua metode modifikasi tersebut sama-sama lebih baik daripada K-Means konvensional. Tetapi belum pernah ada penelitian yang membandingkan akurasi hasil klustering kedua metode modifikasi tersebut. Sehingga pada penelitian ini dilakukan klustering dengan menggunakan kedua metode tersebut untuk data car evaluation, karena dari penelitian sebelumnya kedua metode tersebut cukup handal dalam melakukan klustering. Hasil dari ujicoba menunjukkan rata-rata hasil akurasi dimulai yang tertinggi adalah K-Means berbasis LVQ(86.50%), K-Means berbasis OWA(86,16%) kemudian K-Means konvensional (56,50%). Tetapi dengan urutan atribut yang benar dan pemilihan nilai alpha yang tepat yakni 0.8, K-Means berbasis OWA bisa menghasilkan akurasi yang lebih tinggi yakni 93.33%. Kata kunci: K-Means berbasis LVQ, K-Means, K-Means berbasis OWA, bobot Abstract In this paper do a comparison with the results of klustering using K-Means based LVQ (Learning Vector Quantization) and K-Means based OWA (Ordered Weighted Averaging). In both of these methods used K-Means but which has been modified. Results from previous studies have shown that both methods are better than conventional K-Means. But there has never been a study comparing the accuracy of klustering results of the two methods. So in this study conducted klustering using both methods for data car evaluation, because of previous studies both methods are reliable enough to perform klustering In the researchs before it, both method are prefer than conventionalK-Means, but there are no researchs which compare them. So, in the research, we will compare it by using same data that is car evaluation. In order to know what it is method is the best. The result of research are that in the average, K-Means LVQ(86.50%) is more accuracy than K-Means – OWA(86,16%) and conventional K-Means(56,50). But if the order of selection attributes and alpha values is correct , K Means based OWA can generate higher accuracy that is 93.33 % using the alpha value of 0.8 Keywords: K-Means based LVQ, K-Means, K-Means based OWA, weight
Collaboration network of the authors
30 authors · 46 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Nanang Yudi Setiawan | University of Brawijaya | 2 |
| Putri Nur Fadila | University of Brawijaya | 2 |
| Marji . | University of Brawijaya | 1 |
| Lailil Muflikhah | University of Brawijaya | 1 |
| Achmad Ridok | University of Brawijaya | 1 |
| Zikfikri Yulfiandi Rachmad | University of Brawijaya | 1 |
| Achmad Arwan | University of Brawijaya | 1 |
| Mahendra Data | University of Brawijaya | 1 |
| Ibnu Aqli | University of Brawijaya | 1 |
| Suherni Prahesti | University of Brawijaya | 1 |
| Heru Nurwasito | University of Brawijaya | 1 |
| Sutrisno Sutrisno | University of Brawijaya | 1 |
| Rozaq Akbar | University of Brawijaya | 1 |
| Alland Rifqy Putra | Affiliation unknown | 1 |
| Alland Rifqy Putra | University of Brawijaya | 1 |
| Muhammad Fariz Firdaus | University of Brawijaya | 1 |
| Dinar Fairus Salsabillah | University of Brawijaya | 1 |
| Rizal Setya Perdana | University of Brawijaya | 1 |
| Anshar Zulhilmi | University of Brawijaya | 1 |
| Bayu Rahayudi | University of Brawijaya | 1 |
| Tsania Dzulkarnain | University of Brawijaya | 1 |
| Satrio Hadi Wijoyo | University of Brawijaya | 1 |
| Eka Bayu Satriawan | Affiliation unknown | 1 |
| Eka Bayu Satriawan | Affiliation unknown | 1 |
| Raihan Winurputra | Affiliation unknown | 1 |
| Raihan Winurputra | University of Brawijaya | 1 |
| Muh. Arif Rahman | University of Brawijaya | 1 |
| Matyus Garbela Ismanto | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.