Sistem Klasifikasi Kualitas Sapi Potong di Kabupaten Semarang Menggunakan Algoritma K-Means Clustering dan Naive Bayes Classifier Berbasis Web
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Sistem Klasifikasi Kualitas Sapi Potong di Kabupaten Semarang Menggunakan Algoritma K-Means Clustering dan Naive Bayes Classifier Berbasis Web |
| 2. | Creator | Author's name, affiliation, country | Feroza Rosalina Devi; Universitas Negeri Semarang; |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | |
| 4. | Description | Abstract | Kualitas sapi potong tentunya sangat berpengaruh terhadap kualitas daging yang nantinya akan dikonsumsi oleh masyarakat. Penentuan klasifikasi kualitas sapi potong dirasa penting guna mempermudah pemerintah Kabupaten Semarang khususnya Dinas Pertanian, Perikanan dan Pangan dalam mengetahui kualitas sapi potong. Atribut yang digunakan dalam klasifikasi kualitas sapi potong yaitu umur (bulan), bobot (Kg), dan BCS (Body Condition Score). Kualitas sapi potong ini diklasifikasikan menjadi kualitas baik dan kurang baik. Sistem klasifikasi kualitas sapi potong ini dikembangkan berbasis web dengan menggunakan algoritma K-Means Clustering dan Naïve Bayes Classifier. Algoritma K-Means Clustering digunakan untuk mengelompokkan bobot sapi potong menjadi 3 kelompok untuk kemudian hasil pengelompokan tersebut diklasifikasi menggunakan algoritma Naïve Bayes Classifier bersama atribut lainnya yaitu umur dan BCS. Hasil dari penelitian ini berupa sistem klasifikasi kualitas sapi potong berbasis web yang diharapkan dapat bermanfaat bagi pihak Dinas Pertanian, Perikanan dan Pangan Kabupaten Semarang. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2018-10-13 |
| 8. | Type | Status & genre | Peer-reviewed Paper |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Universal Resource Indicator | https://conf.unnes.ac.id/index.php/snik/snik2018/paper/view/516 |
| 11. | Source | Journal/conference title; vol., no. (year) | Prosiding Seminar Nasional Ilmu Komputer; Seminar Nasional Ilmu Komputer 2018 |
| 12. | Language | English=en | id |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions | Authors who submit to this conference agree to the following terms: a) Authors retain copyright over their work, while allowing the conference to place this unpublished work under a Creative Commons Attribution License, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference. b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference. c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference. |