Indarwati, Liza (2025) Prediksi Penjualan Pestisida Pada Pt Sagri Menggunakan Algoritma C.5. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Pesticide sales are an important aspect in the operations of PT Sagri which is engaged in agriculture. High demand fluctuations require companies to have an accurate sales prediction system to support strategic decision making. This study aims to design and build a pesticide sales prediction model using the c4.5 algorithm, one of the effective data mining methods for forming a decision tree based on the gain and gain ratio values of each attribute in the data. This algorithm was chosen because of its ability to handle both numeric and categorical attributes, and to produce a model that is easy to understand and interpret. The data used in this study came from PT Sagri's sales records in excel for the past 1 year, which include attributes such as product use, product name, product price, season, and sales volume. The research process includes data preprocessing stages, forming a decision tree model with the c4.5 algorithm. The results of the study indicate that the c4.5 algorithm is able to classify sales data with an adequate level of accuracy. This model can help group data into several 2 categories of sales levels such as best-selling and not best-selling, based on a combination of existing attributes. By implementing this prediction model, it is expected that PT Sagri can improve operational efficiency, reduce the risk of excess or lack of stock, and improve customer service with more timely product availability and according to market needs
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | Prediksi Penjualan, Pestisida, Data Mining, Algoritma C4.5, Pohon Keputusan, PT Sagri | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 457 - Teknik Komputer 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
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| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Liza Indarwati | ||||||
| Date Deposited: | 19 Jun 2025 05:12 | ||||||
| Last Modified: | 20 Jun 2025 05:54 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/42053 |
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