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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...

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Endang Retnoningsih, Syahbaniar Rofiah, Sendi Rifa Arofah
MONITORING ELDERLY HEART RATE BASED ON OXIMETER SENSORS
Biomedical

Heart rate check is an important step in preventing heart attacks that is often not realized by the elderly. However, independent heart rate checks by...

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Mufida Fauziah Faiz, Achmad Fauzan
UNVEILING SPATIAL PATTERNS OF LAND CONVERSION THROUGH MACHINE LEARNING AND SPATIAL DISTRIBUTION ANALYSIS
Geography

Kayu Agung District in Ogan Komering Ilir (OKI) Regency, South Sumatra, has undergone rapid population growth, resulting in notable land-use transform...

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Ajeng Savitri Puspaningrum, Erliyan Redy Susanto, Nirwana Hendrastuty, Setiawansyah Setiawansyah
REFORMULATION OF MULTI-ATTRIBUTE UTILITY THEORY NORMALIZATION TO HANDLE ASYMMETRIC DATA IN MADM
Statistics

Multi-Attribute Utility Theory (MAUT) is a widely used multi-attribute decision-making (MADM) method due to its ability to integrate multiple criteria...

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This paper addresses a crucial limitation within Multi-Attribute Utility Theory (MAUT), specifically its challenge in effectively handling asymmetric...

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Deki Satria, Qilbaaini Effendi Muftikhali, Dea Wemona Rahma, Dimas Bayu Arkaan, Zain Ammar Falih
RE-DESIGNING JAKLINGKO APPS UI/UX USING AGILE REQUIREMENT ENGINEERING APPROACH
Informatics

Public transportation has become a staple in a lot of countries, including Indonesia. As the largest city in Indonesia, is trying to accommodate the d...

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This paper addresses a highly relevant and practical problem: the need to improve the user experience of the Jaklingko public transportation applicati...

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