Arifa Sofia Mahra, Adi Magna Patriadi Nuhriawangsa, Yulia Sari

Coffee Consumption Patterns and Anemia Risk: A Cross-Sectional Study of Female University Students in Surakarta

Nutrition

Iron deficiency anemia in women of childbearing age is a public health problem. This can be caused by a lack of iron intake from protein sources and i...

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This study tackles a highly relevant public health concern: iron deficiency anemia among women of childbearing age, specifically within a population o...

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Eli Amaliyah, Tuti Sulastri, Ike Puspasari

The Effect of the Adaptive Mentality “MANTAP” Program on Resilience and Stress Levels in Nursing Students: A Quasi-Experimental Study

Nursing

The "MANTAP" (Adaptive Mentality) program as a management strategy can strengthen the resilience of students studying at Sultan Ageng Tirtayasa Univer...

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This study presents a timely and relevant investigation into the impact of the "MANTAP" (Adaptive Mentality) program on the resilience and stress leve...

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Fitrianty Sutadi Lanyumba, Gebby Pongsampe, Herawati Herawati, Maria Kanan, Marselina Sattu, Ramli Bidullah, Nur Hendra Dwi Gunawan

Assessing Patient Satisfaction in an Internal Medicine Polyclinic Using Cartesian Analysis: A Case Study at Luwuk Regional Hospital

Medicine

Good service quality is one of the important factors in trying to create consumer satisfaction. Indicators on the SERVQUAL instrument can be used to m...

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Andi Saifah, Muh. Akbar Ardiputra, Miswan Miswan, Nur Annisa Safirah, Adhar Arifuddin, Musjaya Guli, Parmin Parmin

Ambient Air Pollution Exposure and Social Health Outcomes in Communities Near the Kawatuna Landfill, Palu, Indonesia

Health

Communities living near landfill sites are often exposed to high levels of ambient air pollution, which may impact their physical and psychosocial hea...

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Angelia Ayu Chandra, Cecilia Sunnia, Kenrick Alvaro Wijaya, Abdi Dharma, Arjon Turnip, Mardi Turnip

ECG-BASED ARRHYTHMIA DETECTION USING THE NARROW NEURAL NETWORK CLASSIFIER

Biomedical

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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