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All Journal Jurnal Ilmu Komputer dan Informasi Sci-Tech Journal Dedikasi Nusantara
Rismiyati
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Library & Information Science Public Health

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Utilizing X Sentiment Analysis to Improve Stock Price Prediction Using Bidirectional Long Short-Term Memory Pasaribu, Marcella Komunita; Alghany, Fahrel Gibran; Simanullang, Benhard; Khasanah, Hilma Nur; Zain, Hanan Nurul Hardyana; Khadijah; Rismiyati
Jurnal Ilmu Komputer dan Informasi Vol. 18 No. 1 (2025): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v18i1.1428

Abstract

The capital market is one of the important factors that influence the national economy. However, the stock price in capital market fluctuates over time. Therefore, the investors strongly need an accurate prediction of stock price for making profitable decision. However, with the pervasive influence of the internet, investors and investment institutions have started incorporating online opinions and news, including those found on social media platforms like X. This research aims to enhance stock price prediction by utilizing X sentiment analysis. The sentiment of tweets from X related to IHSG stock price is predicted by using BERT (Bidirectional Encoder Representations from Transformers), then its result isintegrated with the historical stock price data for predicting future stock price by using BiLSTM (Bidirectional Long Short-Term Memory). The experiment results show that the RMSE and MAPE of the proposed model with sentiment analysis is decreased by 0.042 and 0.595, resepectively, compared to the model without sentiment analysis. Therefore, it can be concluded that the inclusion of X sentiment analysis in conjunction with BiLSTM succeeded in improving the performance of stock price prediction. The study's outcome is expected to be valuable for investors to make profitable decisions, leveraging the information available on social media.
Review: Metode-Metode Ekstraksi Rismiyati; Adinda Strianti Oktari; Annisa Nurrahman; Baiq Mekia Rahmayanti; Novita Aulia; Anggit Sunarwidhi
Sci-tech Journal Vol. 4 No. 1 (2025): Sci-Tech Journal (STJ) In Press
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i1.691

Abstract

Extraction is a crucial process in obtaining bioactive compounds from various materials. This literature review aims to discuss different extraction methods along with their advantages and limitations in various applications. Extraction methods can be categorized into conventional and modern techniques. With technological advancements, extraction methods have become more diverse and efficient. Selecting the appropriate method is essential for extraction success, depending on the type of material and the compounds to be obtained. One of the most efficient modern methods is Microwave-Assisted Extraction (MAE), which offers advantages such as higher yield, shorter extraction time, and reduced solvent usage compared to conventional methods.
Pemanfaatan Web E-Ecommerce sebagai Solusi Pemasaran bagi UMKM di Kecamatan Mayong Kabupaten Jepara Saputra, Ragil; Arif Wibawa, Helmie; Rismiyati; Khadijah; Kurniawan, Sandy
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Vol. 1 No. 3 (2025): Inovasi Teknologi dan Pemberdayaan Masyarakat Desa
Publisher : IndoCompt Publisher

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Abstract

Program pengabdian masyarakat ini dilaksanakan untuk memberdayakan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kecamatan Mayong, Kabupaten Jepara yang masih memiliki tingkat adopsi teknologi digital rendah. Dari 80.000 UMKM di Kabupaten Jepara, hanya 3,4% yang memiliki daya saing di pasar akibat keterbatasan literasi digital, kurangnya pelatihan, dan minimnya infrastruktur pendukung. Kegiatan ini bertujuan meningkatkan akses pasar dan daya saing UMKM melalui pelatihan dan implementasi platform web e-commerce. Program dilaksanakan melalui identifikasi masalah dengan survei dan wawancara, pengembangan web e-commerce, pendampingan penggunaan platform, serta monitoring dan evaluasi. Hasil kegiatan menunjukkan sebanyak 18 pelaku UMKM berpartisipasi dalam kegiatan ini memahami pentingnya pemasaran digital dan mampu menggunakan platform web https://www.umkmkecmayong.com. Program ini berperan dalam meningkatkan keterampilan digital dan membuka peluang pasar yang lebih luas bagi UMKM
Co-Authors Adinda Strianti Oktari Alghany, Fahrel Gibran Anggit Sunarwidhi Annisa Nurrahman Arif Wibawa, Helmie Baiq Mekia Rahmayanti Khadijah Khasanah, Hilma Nur Kurniawan, Sandy Novita Aulia Pasaribu, Marcella Komunita Ragil Saputra Simanullang, Benhard Zain, Hanan Nurul Hardyana