Ivanka Larasati Kusumadewi, . (2024) ESTIMASI PENJUALAN RAMBU LALU LINTAS PADA PT HUTAMA MANGGALA PERSADA DENGAN METODE LASSO REGRESSION. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Estimation is the process of predicting future values to support decision-making. It is expected to enhance production effectiveness and customer service. Data mining plays a crucial role in processing annual sales data, providing valuable insights from large and complex datasets. This study aims to avoid stock shortages at PT Hutama Manggala Persada through sales prediction using the Lasso Regression method. Traffic sign sales data from 2020-2023, comprising 48 sales records, were used. The research stages include problem identification, data preparation and pre-processing, data splitting, modeling, model evaluation, and result visualization. The estimation model shows a gradual increase in traffic sign sales from January to December 2024. Evaluation using Mean Squared Error (MSE) shows a value of 0.06044301476255157. This study suggests adding more datasets to improve estimation accuracy and developing a simple application to facilitate estimation input.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil : 2010511069] [Pembimbing : Ika Nurlaili Isnainiyah] [Penguji 1 : Indra Permana Solihin] [Penguji 2 : Iin Ernawati] |
| Uncontrolled Keywords: | Estimation, Data mining, Sales, Lasso Regression, Mean Squared Error (MSE), PT Hutama Manggala Persada, Stock, Traffic Signs. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | IVANKA LARASATI KUSUMADEWI |
| Date Deposited: | 01 Oct 2024 06:50 |
| Last Modified: | 01 Oct 2024 06:50 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31687 |
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