Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Ekalaya : Jurnal Ekonomi Akuntansi

Analisa Laporan Keuangan Pertumbuhan Penjualan Bersih pada Tahun 2018 di PT Inti Agri Resources Tbk dan Entitas Anak Cindy Chandra; Zahra, Annisa; RA, Halisya
EKALAYA : Jurnal Ekonomi Akuntansi Vol. 1 No. 3 (2023): Ekalaya : Jurnal Ekonomi Akuntansi
Publisher : CV. Kalimasada Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59966/ekalaya.v1i3.318

Abstract

This research was conducted with the aim of looking at the analysis of financial reports for net sales growth in 2018 which has decreased due to reduced demand for arowana fish for export and poor river water quality in fish breeding at PT. Inti Agri Resources Tbk and Subsidiaries. The data taken from the research is sourced from the Annual Report of PT. Inti Agri Resource Tbk and Subsidiaries in 2018. This research method uses a Quantitative Descriptive method. The results of thestudy show that in 2018 net sales decreased by Rp. 79,728,867,002 from the previous year. This is caused by a decrease in the quality of river water in the arowana fish breeding at PT. Inti Agri Resources Tbk and Subsidiaries
Aplikasi Teori Gelombang Elliott dalam Memprediksi Pergerakan Harga di Pasar Saham Zahra, Annisa; Chandra, Cindy; Nurfarida, Risma
EKALAYA : Jurnal Ekonomi Akuntansi Vol. 1 No. 4 (2023): Ekalaya : Jurnal Ekonomi Akuntansi
Publisher : CV. Kalimasada Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59966/ekalaya.v1i4.681

Abstract

Stock Trend Prediction is a complex matter as their movements constantly fluctuate and are affected by many factors such as political elements, world economic situation, investor expectations and psychological factors. One way to analyze stock prices is technical analysis. This method focuses on indicators and stock patterns that are formed. Elliott Wave is a technical analysis method. This study shows an approach based on a combination of artificial neural networks and Elliott wave theory that will predict the likely direction of future trends. The conclusion of this research is that combining Elliott wave theory and Fibonacci can be an effective and profitable strategy for trading on the stock market. This combination has demonstrated high accuracy and can increase trading returns. This combination still offers profits, even when the stock declines.