Penerapan algoritma regresi Linear untuk penentuan prediksi kebutuhan produksi padi dengan mean absolute error (MAE)
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Penerapan algoritma regresi Linear untuk penentuan prediksi kebutuhan produksi padi dengan mean absolute error (MAE) |
| 2. | Creator | Author's name, affiliation, country | Andik Adi Suryanto; Universitas PGRI Ronggolawe Tuban; |
| 2. | Creator | Author's name, affiliation, country | Asfan Muqtadir; Universitas PGRI Ronggolawe; |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | |
| 4. | Description | Abstract | Padi adalah salah satu kebutuhan pokok memenuhi kebutuhan karbohidrat bagi penduduk. Dengan meningkatnya pertumbuhan penduduk tiap tahunnya dan kegiatan sosial ekonomi yang menyertai kebutuhan Produksi padi makin meningkat pula berbanding lurus jumlah penduduk. Regresi Linier merupakan suatu cara mengukur data prediksi melalui garis lurus sebagai gambaran hubungan korelasi diantara 2 variabel atau lebih. Regresi linear digunakan sebagai teknik mempelajari bagaimana hubungan variabel-variabel pada proses peramalan data. Mean Absolute Error (MAE) adalah dua diantara banyak metode untuk mengukur tingkat keakuratan suatu model peramalan. Nilai MAE merepresentasikan rata – rata kesalahan (error) absolut antara hasil peramalan dengan nilai sebenarnya. Dengan menggunakan algoritma regresi linear dapat memberikan nilai prediksi produksi padi dengan 2 variabel jumlah pertumbuhan penduduk dan jumlah produksi padi pertahun, sedangan keakuratan dari hasil perhitungan prediksi menggunakan metode Mean Absolute Error (MAE) yang gunakan untuk mengukur tingkat keakuratan suatu model peramalan. |
| 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/515 |
| 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. |