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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Sinergi Jurnal Ilmiah FIFO Jurnal ULTIMA InfoSys Jurnal Ilmu Teknik dan Komputer International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) Jurnal Teknik Informatika (JUTIF) Mejuajua Jurnal Ilmu Komputer Dan Informatika Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Abdi Wahab
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Other

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Stock Prediction for Indonesia Stock Exchange with Long Short-Term Memory Wahab, Abdi; Herdian, Ali; Wirawan, Dian; Jumaryadi, Yuwan; Alam, Syamsir; Fiade, Andrew
Jurnal Ilmiah FIFO Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i1.010

Abstract

Predicting stock prices through different analyses and techniques is highly challenging. The task is complicated further by fluctuating market conditions and the impact of news, necessitating the consideration of numerous factors. The advancements in machine learning and deep learning have led many researchers to use algorithms like RNN with LSTM for predictions. In this study, we aim to predict stock prices on the Indonesia Stock Exchange using LSTM, focusing on optimizing the hidden layer and activation function. We focus on some stock data with good liquidation in the Indonesia Stock Exchange. The comparison performance between models proposed in this research will be the method in this research. The result showed that the LSTM model with hyperbolic tan activation method performed better than the LSTM model with sigmoid activation method. The future research based on this research, we can compare several other activation methods.
Deep Learning-Based Autism Detection Using Facial Images and EfficientNet-B3 Hasanudin, Muhaimin; Afiyati, Afiyati; Budiarto, Rahmat; Wahab, Abdi; Jokonowo, Bambang; Indrianto, Indrianto; Yosrita, Efy; Hanifah, Nurul Afif
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4574

Abstract

This study presents a novel deep learning approach for early detection of Autism Spectrum Disorder (ASD) using facial image analysis. Leveraging the EfficientNet-B3 model, the research addresses limitations in traditional diagnostic methods by autonomously extracting discriminative facial features associated with ASD. A balanced dataset of 2,940 facial images (1,470 autistic and 1,470 non-autistic children) from Kaggle was pre-processed to 200x200 pixels and evaluated under three dataset-splitting scenarios (80:10:10, 70:15:15, and 60:20:20) to assess generalisability. The model, trained with the Adam optimiser over 10 epochs, achieved optimal performance in the 80:10:10 scenario, with 84.67% precision, 84.35% recall, and 84.32% F1 score. Results demonstrate high confidence (>90% probability) in distinguishing autistic from non-autistic individuals on unseen data. The study underscores the potential of integrating deep learning into clinical decision-support systems for ASD detection, offering a robust, scalable, and efficient solution to improve diagnostic accuracy and reduce reliance on manual methods.
Co-Authors Afiyati, Afiyati Andi Adriansyah Andi Adriansyah Andrew Fiade Ayu, Kurnia Gusti Bambang Jokonowo Dafit Feriyanto Efy Yosrita, Efy Gusti Ayu, Kurnia Hadi Pranoto Hadi Pranoto Hanifah, Nurul Afif Herdian, Ali Hidayat, Muhammad Indrianto Indrianto Jumaryadi, Yuwan Muhaimin Hasanudin Muthiah Ismah Hapsari Putra, Revin Aulia Rizky Eka Rahmat Budiarto Sari, Dwi Wulandari Satrio, Musyaffa' Muhammad Syamsir Alam Tyas Agustini Wirawan, Dian Wulandari Sari, Dwi Zakaria, Supaat