Jurnal SINTA 2
Implementasi Metode Naïve Bayes Classifier Untuk Seleksi Asisten Praktikum Pada Simulasi Hadoop Multinode Cluster
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 3 No. 4 (2016) · pp. 273–278
- ISSN
- 2528-6579, 2355-7699
- Published
- 2016-12-26
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
AbstrakPemilihan asisten pada praktikum dialami oleh berbagai universitas di Indonesia salah satunya di Fakultas Ilmu Komputer (FILKOM) Universitas Brawijaya (UB). Dalam pemilihan asisten praktikum ada beberapa proses yang harus dilalui. Proses pemilihan yang ada di FILKOM masih dalam bentuk manual. Adapun proses yang dijalani dalam pemilihan asisten praktikum diantaranya adalah tes administrasi, tes live coding, dan tes mengajar. Dalam penentuan penerimaan asisten praktikum tersebut berdasarkan hasil tes yang telah dilakukan. Kendala yang dihadapi adalah kemiripan hasil tes pada ketentuan tertentu yang menyebabkan kerancuan proses pemilihan asisten praktikum. Dari permasalahan tersebut penulis melihat suatu peluang untuk membuat sistem yang mampu menyeleksi dengan cara melakukan hasil klasifikasi tertinggi terhadap hasil tes yang dilakukan oleh calon asisten praktikum. Penelitian ini menggunakan Hadoop dengan menerapkan metode Naïve Bayes yang diangap mampu menghasilkan klasifikasi yang akurat, sehingga dapat mempermudah seorang dosen dalam memilih asisten praktikum dengan kualitas yang baik.Kata kunci: big data, klasifikasi, naïve bayes, hadoopAbstractSelection of the lab assistants experienced by various universities in Indonesia one of them in the Faculty of Computer Science (FILKOM) University of Brawijaya (UB). In the selection of lab assistant, there is some process to be followed. The election process is in FILKOM still in manual form. The process according to which the election is a test lab assistant include administration, test live coding, and test of teaching. In determining the lab assistant acceptance is based on the tests that have been carried out. Obstacles encountered is the similarity test results on the specific provisions that caused confusion electoral process lab assistant. Of these issues, the authors saw an opportunity to create a system that is able to select a way to the highest classification results against the results of tests conducted by the lab assistant candidates. This study uses Hadoop with Naïve Bayes applying methods as may be capable of producing an accurate classification, so as to facilitate a lecturer in choosing a lab assistant with good quality.Keywords: big data, classification, naïve bayes, hadoop
Collaboration network of the authors
40 authors · 111 co-authorship links · 3 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Universitas Amikom Purwokerto
- 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 |
|---|---|---|
| Arief Andy Soebroto | University of Brawijaya | 3 |
| Daneswara Jauhari | University of Brawijaya | 3 |
| Dhimas Anjar Prabowo | University of Brawijaya | 3 |
| Sutrisno . | Affiliation unknown | 2 |
| Nurul Hidayat | University of Brawijaya | 2 |
| Canny Amerilyse Caesar | University of Brawijaya | 2 |
| Latifah Hanum | University of Brawijaya | 2 |
| Muhammad Fhadli | University of Brawijaya | 2 |
| Anang Hanafi | University of Brawijaya | 2 |
| Listiya Surtiningsih | University of Brawijaya | 2 |
| Fitra Abdurrachman Bachtiar | University of Brawijaya | 2 |
| Ahmad Afif Supianto | University of Brawijaya | 1 |
| Randy Cahya Wihandika | University of Brawijaya | 1 |
| Maria Tenika Frestantiya | University of Brawijaya | 1 |
| Ziya El Arief | University of Brawijaya | 1 |
| Candra Dewi | University of Brawijaya | 1 |
| Rina Christanti | University of Brawijaya | 1 |
| Budi Darma Setiawan | University of Brawijaya | 1 |
| Rekyan Regasari Mardi Putri | University of Brawijaya | 1 |
| Lailil Muflikhah | University of Brawijaya | 1 |
| Muhammad Syafiq | University of Brawijaya | 1 |
| Achmad Jafar Al Kadafi | University of Brawijaya | 1 |
| Rizka Husnun Zakiyyah | University of Brawijaya | 1 |
| Wanda Athira Luqyana | University of Brawijaya | 1 |
| Uswatun Hasanah | Universitas Amikom Purwokerto | 1 |
| Lintang Resita Mayangsari | University of Brawijaya | 1 |
| Andhica Pratama | University of Brawijaya | 1 |
| Mochammad Ainun Najib | University of Brawijaya | 1 |
| Handika Agus Fauzi | University of Brawijaya | 1 |
| Sutrisno Sutrisno | University of Brawijaya | 1 |
| Aryeswara Sunaryo | University of Brawijaya | 1 |
| Agnes Rossi Trisna Lestari | University of Brawijaya | 1 |
| Umi Rofiqoh | University of Brawijaya | 1 |
| Siti Robbana | University of Brawijaya | 1 |
| Winda Estu Nurjanah | University of Brawijaya | 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.