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Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
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Behavioral Malware Detection via API Call Sequences: A Comparative Study of LSTM and Transformer Architectures Using NLP-Inspired Representations
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experim...
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A Systematic Analysis of the Impact of Non-Academic Factors on Student Academic Performance Prediction Using Data Mining
Ningsih, Gabriella Caroline Prihayu
; Universitas Sebelas Maret
; Liantoni, Febri
; Sebelas Maret University
; Sujana, Yudianto
; Sebelas Maret University
Telematika
Vol 19
, No 1
(2026)
This study investigates the prediction of students' academic performance using machine learning models through the analysis of 27 research articles. The primary objective is to identify a minimal set of essential features that significantly influence academic outcomes, aiming to optimize model performance and reduce data complexity. A Systematic Literature Review (SLR) was conducted following the PRISMA framework, focusing on key features such as midterm grades, faculty, department, demographic...
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HUBUNGAN PEMBERIAN ASI EKSKLUSIF DAN MAKANAN PENDAMPING ASI DENGAN KEJADIAN STUNTING DI PERKOTAAN
Masitoh, Siti
; Syam, Heriza
; Jehanara, Jehanara
; Kusumastuti, Ani
; Debbiyantina, Debbiyantina
; Aulani, Fitria
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar Belakang: Masalah kesehatan gizi yang signifikan di Kota Serang adalah prevalensi stunting. Asupan gizi, khususnya ASI eksklusif dan makanan tambahan, berdampak signifikan terhadap pertumbuhan balita dan merupakan faktor penyebab stunting. Tujuan: Untuk menguji korelasi antara ASI eksklusif dan makanan pendamping, bersama dengan usia ibu, pendidikan, pekerjaan, dan paritas, dengan prevalensi stunting di wilayah Puskesmas Singandaru, Kota Serang. Metode: Penelitian ini menggunakan pendekata...
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Cam Simulation and Dimensional Verification of CNC-Machined Orthopaedic Femoral Components: Toolpath Optimization and 3D-Scan Metrology
Setyoadi, Yuris
; Rifky Ismail
; Bayuseno, Athanasius Priharyoto
; I Nyoman Jujur
; Novriansyah, Robin
; Darmanto
; Prawibowo, Hartanto
; Anggoro, Paulus Wisnu
This study investigates the optimization of manufacturing femoral components for Total Knee Replacement (TKR) using Computer-Aided Manufacturing (CAM) simulation and 5-axis CNC milling, followed by dimensional verification based on 3D scanning. The machining process was simulated in Autodesk PowerMill to generate collision-free toolpaths for AISI 316L stainless steel. Dimensional verification was conducted by comparing the 3D-scanned physical model (using Creality CR-Scan Ferret Pro) with the or...
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The Phylogenetic analysis of representative mammalian MUC16 supported by comparative SEA domain and tandem repeat variation
MUC16 is one of the largest mammalian mucins and exhibits substantial evolutionary variation in both sequence composition and structural modularity. Comparative analysis of SEA domain composition and tandem repeat architecture is therefore essential for understanding the evolutionary diversification of this gene across mammals. This study investigates the phylogenetic relationships of mammalian MUC16 and examines how variation in SEA domains and tandem repeats contributes to lineage-specific str...
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Morphological and genetic identifications of Spirulina based on 16S rRNA gene
Spirulina is a microalga with spiral or linear trichome shapes that has potential in industrial and food sectors due to its rich nutritional content. Spirulina can live in various aquatic habitats with different environmental conditions. Differences in cultivation environments can affect the morphological characteristics of Arthrospira due to phenotypic plasticity, making morphology-based identification prone to errors. Therefore, molecular identification using the 16S rRNA gene for phylogenetic...
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Assessment of genetic diversity in EMS-induced porang (Amorphophallus muelleri Blume) revealed by RAPD markers
Haritzah, Rendha Maulana
; Radita, Novia Fitri
; Ramadanti, Isma Salsabila
; Azzahro, Yusri Despa
; Wahyudi, Didik
; Resmisari, Ruri Siti
; Suyono
Increasing genetic diversity of porang through mutation is urgently needed since porang has low genetic diveristy. Therefore, this study aims to increase the genetic diversity of porang using ethyl methanesulfonate (EMS) and analyze the genetic diversity of porang using RAPD markers. Porang explants were subjected to in vitro EMS induction at various concentrations (control, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) and evaluated after 35 days. DNA amplification was carried out using 20 RAPD primers. Ge...
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Pharmacological prediction of Marchantia polymorpha: GC-MS and molecular docking approaches
Marchantia polymorpha is the liverworts that can be found abundantly in the Mount Pasang Jember area. The metabolite profiling of M. polymorpha has not yet been conducted. The method used in this study was untargeted metabolite profiling using GC-MS, and the results of the metabolite compound profiling were analyzed in silico using bioinformatics-based, namely PASS Online, SwisADME, and Molecular Docking using PyRx 8.0 with AutodockVina. The aims of docking with this protein was adjusted to th...
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GOOD CORPORATE GOVERNANCE, FINANCIAL PERFORMANCE, AND FIRM VALUE: EVIDENCE IN INDONESIA
Jurnal Akuntansi, Keuangan dan Auditing
Vol 6
, No 2
(2026)
This study aims to see the influence of good corporate governance and financial performance on the value of companies in Indonesia. Good Corporate governance uses variable institutional ownership and subsequent managerial ownership for financial performance using profitability. This study uses a population, namely all property and real estate sector companies listed on the Indonesia Stock Exchange, with a research period of 3 years, namely 2019 – 2021. The sample selection method used is the pur...
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