Yolavita, Dena (2019) Peramalan Hasil Panen Tebu Menggunakan Metode Regresi Linier untuk Penentuan Harga Jua. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Most people in the research area work as sugar cane farmers. Some of these farmers work as sugar cane traders, where the buying and selling of sugarcane uses a slash process. The cutting process is done before the harvest, this causes several problems for traders to estimate the weight and price of sugarcane / kw, resulting in an error in deciding the sale price of sugarcane. This forecasting aims to make it easier for traders to determine the selling price of sugarcane on a certain area of land. To get the purpose of this research, a web-based yield forecasting application was made that can be accessed by a smartphone. The data used in this study are harvest data for 2015 - 2018. Yield data obtained from 3 traders with Jatiroto and Semboro sugar factories. Based on data that is known, it can be used to predict the weight and yield of sugarcane using a simple linear regression method with period variables. Determination of the selling price is obtained after the result of forecasting the weight and yield of sugar cane. In the system, weight forecasting and yield can be done by entering the yield data of previous years, then to find out the selling price, the calculation is carried out by entering the data on the transportation costs, other costs and other income. Based on the calculation of 12 data forecasting yields on different land for 3 years in a row obtained MAPE value <10%.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Sri Supriyatiningsih | ||||||
| Date Deposited: | 05 Jan 2026 00:45 | ||||||
| Last Modified: | 05 Jan 2026 00:46 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/49501 |
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