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Comparative Study of Recurrent Neural Network (RNN) and Extreme Learning Machine (ELM) in Predicting Bank Central Asia’s Stock Price
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Predicting stock prices is an important financial topic, especially for investors who want to maximize profit and minimize risk. This research compares two machine-learning capabilities, a Recurrent Neural Network (RNN) and an Extreme Learning Machine (ELM), in predicting Bank Cental Asia (BBCA) stock prices. These two are chosen for their capabilities in handling time-series data. This research uses the data of BBCA’s daily prices over a certain period and involves several steps such as data co...
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ANALISIS RASIO AKTIVITAS UNTUK MENILAI KINERJA KEUANGAN PADA PT ADARO MINERALS INDONESIA TBK YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)
Zuraidaning Tyas, Karunia
; Zuraidaning Tyas, Karunia
; Dewanty, Amalia Rahmayang
; Sechan, Cathalina
; Mukharomah, Indri Nur
Perwira Journal of Economics and Business
Vol 3
, No 01
(2023)
Analysis of financial statements is necessary for the company to assess the performance of the company and to compare the condition of the company from the previous year. One of the ratios used in conducting the analysis is the activity ratio. The activity ratio is useful for analyzing the use of resources owned and to support the company's activities. There are several types of activity ratios that are used as a measuring tool to determine the company's ability to use its assets, namely the tur...
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