Optimalisasi Keputusan Investasi Saham Dengan Analisis Teknikal Pada Industri Rokok Yang Terdaftar Di bursa Efek Indonesia Menggunakan Teknologi AI
Abstract
This research aims to optimize stock investment decisions using a technical analysis approach in the cigarette industry listed on the Indonesia Stock Exchange. The technical analysis used is Moving Average 20. The type of research used is applied research with quantitative descriptive analysis. In this research, samples were taken based on the purposive sampling method using the cigarette industry from December 2015 to Desember 2024. The results showed that by using AI, Investors can optimize stock purchasing decisions on Gudang Garam, Tbk, H.M. Sampoerna, Tbk and Wismilak Inti Makmur, Tbk.