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All Journal JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Abdimas Prakasa Dakara
Hilman F. Pardede
Universitas Nusa Mandiri
Humanities Computer Science & IT Education Social Sciences

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Sentiment analysis for event-based stock price predictions using bidirectional long short term memory Okki Setyawan; Hilman F. Pardede
Journal of Information System, Informatics and Computing Vol 6 No 1 (2022): JISICOM: June 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v6i1.772

Abstract

The stock market has become an important role in the economy and attracts the attention of investors because it also generates funds and makes investment decisions for companies and investors. The most important thing investors do before investing is to look at information about the capital market in various media, both social media and news portals circulating on the internet to see stock movements that often change due to fluctuations. Sentiment analysis carried out in this study uses a public dataset from the dataset portal at kaggle.com, namely the DJIA (Dow Jones Industrial Average) dataset in the form of events (timeseries) which contains data from a collection of news headlines from redditnews.com as many as 1990 lines of data and has a class label. to go up or down, then trained with deep learning models, namely BiLSTM and LSTM with variations of hyperparameter tuning, and compared with other models including SVM, KNN, Logistic Regression, Naïve Bayes Multinomial. From this research, the best results were obtained with the Deep BiLSTM model with 1 hidden layers, Epoch 20 and batch size 16 resulting in an accuracy score of 0.8677 and F1 score 0.8674 also AUC 0.8671, this study is an improvement from previous research using the LSTM model with an accuracy rate of 0.5212. F1 Score 0.6762 and AUC 0.6211.
Penyuluhan Literasi Media untuk Bijak di Media Sosial dan Pemanfaatan Media Digital Dwiza Riana; Agus Subekti; Hilman F. Pardede; Zico Pratama Putra; Faruq Aziz
Jurnal Abdimas Prakasa Dakara Vol. 2 No. 2 (2022): Literasi Media dan Promosi Kreatif dalam Kegiatan Kemasyarakatan
Publisher : LPPM STKIP Kusuma Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37640/japd.v2i2.1522

Abstract

Understanding the power of media must be promoted at all levels. Efforts to develop media literacy, both in the form of thoughts and in conducting outreach activities, need to be carried out and supported by various stakeholders. Especially in the current era of digital media, people are used to and easily access social media. There is also growing concern about the negative impact of social media use on young people. Therefore, it is necessary to teach the younger generation media skills to use social media. This is the basis for making joint activities aimed at educating the younger generation to be wise in using social media and being able to use digital media well. This activity took place on April 3, 2022 with a total of 15 participants. Based on the results of the activities carried out, the application of positive communication resulted in positive changes in the insights, knowledge, skills, values, and attitudes of adolescents, and this activity has important benefits for community activities. to successfully achieve the goals and benefit the community, especially the partners of the SIGMA Foundation.
Co-Authors Agus Subekti Dwiza Riana Faruq Aziz Okki Setyawan Zico Pratama Putra