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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Gaung Informatika Journal of Education and Learning (EduLearn) TALENTA Jurnal Edukasi dan Penelitian Informatika (JEPIN) Prosiding Seminar Nasional Tekinfo | Scientific Journal of Industrial and Information Engineering J-SAKTI (Jurnal Sains Komputer dan Informatika) Syntax Idea J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian kepada Masyarakat Bina Darma Batara Wisnu : Indonesian Journal of Community Services Journal of Engineering and Science Application
Sri Huning Anwariningsih
Universitas Sahid Surakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Journal of Engineering and Science Application

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Stock Price Prediction Modeling Using Recurrent Neural Network and Long-Short Term Memory Salsabila, Afrida Nur; Anwariningsih, Sri Huning; Susilo, Dahlan
Journal of Engineering and Science Application Vol. 2 No. 1 (2025): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v2i1.20

Abstract

Stock price fluctuations were very difficult to predict the direction of the changes. There were generally estimated to follow three analysis techniques: technical, fundamental, and sentiment. Technical analysis involves observing prices in the past, fundamental analysis is related to the analysis of ongoing business situations, while sentiment analysis includes stock prices that were affected by business aspects, current information, and business activities. Valid price data of the BCA Company used was the stock price from 2019 until 2024. The purpose of this study is to find alternative models of the RNN and LSTM models. The methods used in this study are the documentation method and the optimization method. Accuracy measurements used Mean Square Error (MSE) and Mean Absolute Error (MAE) metrics. The results of stock prediction using the RNN model got poor results with epoch 10 obtaining an accuracy of 61.3%, while using the LSTM model obtained quite good results with epoch 10 obtaining an accuracy of 87.7%. Stock predictions using the combined RNN-LSTM models were able to get good results with epoch 10 obtaining an accuracy of 93.3%.
Co-Authors AA Sudharmawan, AA Achmad Syah, Elvandec Rizky Ade Setiyawan Ade Setiyawan Aditya Dwi Jatmiko Aditya Dwi Jatmiko, Aditya Dwi Ali Djamhuri Andri Wahyu Septo Putra Andri Wahyu Septo Putra Anniez Rachmawati Musslifah Arifin, Akhmad Dakhilul Astri Charolina Astri Charolina Aziz Jihadian Barid Barid, Aziz Jihadian Cahaya, Annisa Muktining Cholil Jamhari Dahlan Susilo Destina Paningrum Destina Paningrum, Destina Dhamayanti, Irma Dwi Retnoningsih Dwi Retnoningsih Erwin Kartinawati Faisah Yuniar Faqih Purnomosidi Firdhaus Hari Saputro Al Haris Fitriyadi, Farid Fridhaus Hari Saputro Al haris Hastuti, Nurul Indah Puspita Mutiara Irma Dhamayanti Jamhari, Cholil Joko Cahyono Joko Cahyono Keristiawan, Subakti Kristiana, Martha Martha Kristiana Meilina Widiyaningsih Meilina Widiyaningsih Merry Kurnia Happyanto Merry Kurnia Happyanto Minhwa Mella Marsella, Minhwa Mella Mutiara, Indah Puspita Nurul Hastuti Pratiwiyani Pratiwiyani Putra, Andri Wahyu Septo Putra, Yanuar Nur Fajar Riskyanto Pangemanan Riskyanto Pangemanan Rusnandari Retno Cahyani Salsabila, Afrida Nur Setiawan, Sukawati Novy Sri Ernawati Sri Ernawati Subakti Keristiawan Sukawati Novy Setiawan Supriyanto . Supriyanto . Supriyanto Supriyanto Suryono . Suryono Suryono Tri Waluyo Tri Waluyo Yanuar Nur Fajar Putra Yanuar Nur Fajar Putra Yosef Chris Bagiyarsa Yosef Chris Bagiyarsa Yuniar, Faisah Yustina Retno Yustina Retno Wahyu Utami