Articles | Sciaria - Science Aria

Electrocardiograms (ECG) are important for detecting arrhythmias. Conventional models such as CNN and LSTM are accurate but require large amounts of c...

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The manuscript "ECG-BASED ARRHYTHMIA DETECTION USING THE NARROW NEURAL NETWORK CLASSIFIER" addresses a critical challenge in medical diagnostics: enab...

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Safii Safii, Mochamad Wahyudi, Dedy Hartama

QUANTUM-ASSISTED FEATURE SELECTION FOR IMPROVING PREDICTION MODEL ACCURACY ON LARGE AND IMBALANCED DATASETS

Informatics

One of the biggest obstacles to creating precise machine learning models is choosing representative and pertinent characteristics from big, unbalanced...

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The paper "QUANTUM-ASSISTED FEATURE SELECTION FOR IMPROVING PREDICTION MODEL ACCURACY ON LARGE AND IMBALANCED DATASETS" addresses a critical challenge...

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Arif Rahmawan, Rahmi Hidayati, Kartika Sari

RTOS-BASED SYSTEM FOR TODDLER NUTRITIONAL STATUS DETECTION

Biomedical

Determining the nutritional status of toddlers is essential for monitoring growth and preventing long-term health problems. Manual assessment requires...

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This paper presents a highly relevant and timely contribution to public health, addressing the critical need for efficient and accurate assessment of...

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Rajunaidi Rajunaidi, Herman Yuliansyah, Sunardi Sunardi, Murinto Murinto

PREDICTIVE MODEL FOR COOPERATIVE LOAN RECIPIENT ELIGIBILITY USING SUPERVISED MACHINE LEARNING

Finance

Non-performing loans remain a critical challenge for cooperatives as they can undermine financial stability, erode member trust, and impede institutio...

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The paper presents a timely and relevant study addressing the critical issue of non-performing loans within cooperative institutions through the devel...

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Aris Gunaryati, Teddy Mantoro, Septi Andryana, Benrahman, Mohammad Iwan Wahyuddin

ENHANCING COFFEE PRODUCTION FACTOR ASSESSMENT USING LINEAR REGRESSION AND AHP FOR RELIABLE WEIGHT CONSISTENCY

Agriculture

The agricultural sector, particularly coffee production, plays a crucial role in Indonesia’s economy as both a domestic commodity and an export produc...

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Ninik Sri lestari, Rahmad Hidayat, Herlina Herlina, Sukirno Sukirno

DEVELOPMENT OF A SMART PARKING SYSTEM USING AUTOMATIC DEBIT AND OPTICAL CHARACTER RECOGNITION

Informatics

The current parking infrastructure predominantly relies on traditional or semi-automatic mechanisms, leading to significant inefficiencies during peak...

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This paper addresses the common problem of inefficiencies in traditional parking systems, particularly during peak hours, by proposing a fully automat...

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Zulfian Azmi, Rina Julita, Novica Irawati, Sofyan Pariyasto, Ellanda Purwawijaya

COMPARATIVE ANALYSIS OF HYPERPARAMETER OPTIMIZATION TECHNIQUES ON LIGHTGBM FOR ASTHMA PREDICTION

Biomedical

This study presents a comparative study of hyperparameter optimization methods applied to the Light Gradient Boosting Machine (LightGBM) algorithm for...

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This study presents a timely and relevant comparative analysis of hyperparameter optimization (HPO) techniques applied to LightGBM for asthma predicti...

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Andi Saryoko, Faruq Aziz

YOLO MODEL DETECTION OF STUDENT NEATNESS BASED ON DEEP LEARNING: A SYSTEMTIC LITERATURE REVIEW

Education

Maintaining proper student neatness (uniform compliance, grooming standards, and posture) is essential for fostering disciplined learning environments...

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This systematic literature review, "YOLO Model Detection of Student Neatness Based on Deep Learning," provides a timely and relevant examination of au...