Sa'diyah, Siti Halimah (2018) Peramalan Harga Besi Beton Menggunakan Fungsi Transfer, Autoregressive Distributed Lag (Ardl), Dan Support Vector Regression (Svr). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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TUGAS AKHIR-SITI HALIMAH SA'DIYAH-06211440000005.pdf - Accepted Version Download (2MB) | Preview |
Abstract
Pembangunan infrastruktur merupakan program pemerintah yang kini sedang digencarkan sebagai bentuk pemerataan perekonomian di semua lini. Hal ini turut memberikan pengaruh terhadap perusahaan-perusahaan penyedia jasa konstruksi, salah satunya adalah PT Wijaya Karya (Persero) Tbk. Besi beton merupakan salah satu material strategis yang diperlukan dalam proses pembangun, oleh karena itu PT Wijaya Karya (Persero) Tbk berupaya untuk melakukan peramalan harga besi beton. Penelitian ini bertujuan untuk mendapatkan peramalan harga besi beton berdasarkan metode terbaik dari Fungsi Transfer, Autoregressive Distributed Lag (ARDL), Fungsi Transfer-SVR, dan ARDL-SVR dengan variabel input yang digunakan adalah harga billet. Data yang digunakan dalam penelitian ini adalah harga billet dan harga besi beton mulai Maret 2013 hingga Februari 2018. Berdasarkan hasil analisis didapatkan bahwa metode terbaik untuk meramalkan harga besi beton adalah Fungsi Transfer dengan RMSEP sebesar 66,917 dan MAPEP 10,820%.
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Infrastructure development is a government program that is now being intensified as a form of economic equity in all lines. It also contributes to the construction companies, one of those is PT Wijaya Karya (Persero) Tbk. Rebar is one of the strategic materials needed in the building process, therefore PT Wijaya Karya (Persero) Tbk seeks to forecast the rebar price. This study aims to obtain forecasting of rebar price based on the best method of Transfer Function, Autoregressive Distributed Lag (ARDL), Transfer Function-SVR, and ARDL-SVR with input variable used is billet price. The data used in this research are billet price and rebar price from March 2013 until February 2018. Based on the analysis it is found that the best method to predict the rebar price is Transfer Function with the value of RMSEP 66,917 and MAPEP 10,820%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | ARDL, Besi Beton, Fungsi Transfer, SVR =============================================================== ARDL, Rebar, SVR, Transfer Function |
| Subjects: | Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry) |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Sa'diyah Siti Halimah |
| Date Deposited: | 21 Jul 2021 23:28 |
| Last Modified: | 21 Jul 2021 23:28 |
| URI: | http://repository.its.ac.id/id/eprint/57539 |
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