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Menampilkan 11–20 dari 1457 artikel
Optimization of Mangrove Glucomannan Addition to Improve Physicochemical Properties of Kefir
Jeki Mediantari Wahyu Wibawanti
; Zulfanita
; Dita Yuzianah
; Harisun Binti Ya’acob
; Anang Mohamad Legowo
; Setya Budi Muhammad Abduh
; Sri Mulyani
Kefir is widely recognized as a functional fermented dairy product. However, its physicochemical stability, particularly pH, acidity, and syneresis, remains a challenge during processing and storage. The addition of functional polysaccharides, such as mangrove-derived glucomannan, has been proposed to improve kefir quality. This study aimed to investigate the effect of mangrove-derived glucomannan on the physicochemical properties of kefir. A Completely Randomized Design with different concentra...
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Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
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Pengaruh Liquidity, Leverage, Profitability, Sales Growth, dan Firm Size Terhadap Cash Holding
This research analyzed the influence of liquidity, leverage, profitability, sales growth, and firm size on cash holdings. The research is quantitative, using secondary data from annual financial reports of primary consumer industries listed on the Indonesia Stock Exchange from 2022 to 2024. Liquidity is measured by the Current Ratio, which is calculated as current assets divided by current liabilities. Leverage, proxied by the Debt-to-Equity Ratio, is measured by total liabilities divided by tot...
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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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Evidence-based non-residential waste analysis to support 3R strategies and food recovery hierarchy: a case study in Solok Selatan
The amount of waste generation that increases without being accompanied by good waste management will cause pollution and decrease the aesthetic value of the environment. Non-residential waste originating from non-residential activities is also one of the contributors to waste entering the landfill. This study aims to analyze non-residential waste generation and composition as an evidence-based reference for each source in implementing the 3R concept and the Food Recovery Hierarchy (FRH). The nu...
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Mangrove Biodiversity for Coastal Resilience and Sustainability: A Dynamic Case Study from Indonesia
Martuti, Nana Kariada Tri
; Jabbar, Abdul
; Irsadi, Andin
; Sidiq, Wahid Akhsin Budi Nur
; Melati, Inaya Sari
; Eldin Khair, Amar Sharaf
; Mutiatari, Dhita Pracisca
Mangrove degradation and socio-economic vulnerability in the Kendal coast require an integrated approach. The study used ecological surveys (mangrove vegetation analysis, avifauna) and socio-economic (n=186 households). Integrated Coastal Management (ICM) analysis and model were developed using a dynamic approach, encompassing problem identification, conceptual model formulation, and validation preparation. 14 mangrove species (H' index = 1.58–1.80) and 61 bird species (H' = 3.50) were found. Co...
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Comparative Evaluation of Parameter-Efficient Fine-Tuning Strategies for Continual Image Classification
Catastrophic forgetting remains a major challenge in continual transfer learning, where performance on earlier tasks degrades after sequential adaptation. While full fine-tuning updates all parameters and achieves strong performance on new tasks, it is computationally expensive and prone to forgetting. This study compares parameter-efficient fine-tuning (PEFT) methods—adapters, additive learning, side-tuning, LoRA, and zero-initialized layers—against full fine-tuning on CIFAR-100 using a two-sta...
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Analisis Kinerja Sistem Informasi Ekspedisi Nasional Berorientasi Website dan Mobile
This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main ind...
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Pengaruh Participatory Leadership, Supportive Culture Organization pada Job Satisfaction Dimediasi oleh Work-Life Balance
This study aims to analyze the influence of participatory leadership, supportive organizational culture, and work-life balance on employee job satisfaction. The research method employs a quantitative approach, using SEM-PLS analysis of data collected from PKWT employees at PT Graha Satu Tiga Tujuh. The results show that participatory leadership and supportive organizational culture have a positive and significant effect on job satisfaction, while work-life balance has no proven effect. Furthermo...
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