This study was conducted to evaluate the water quality status of the Tukad Oos River in Gianyar Regency based on physical, chemical, and biological pa...
This study provides a timely and relevant assessment of the water quality status of the Tukad Oos River in Gianyar Regency, a crucial undertaking give...
Industrial and operational activities in various sectors, such as manufacturing, oil, gas, mining, and healthcare, have the potential to generate haza...
This paper addresses a critically important topic concerning the safe management of Hazardous and Toxic Waste (B3) within industrial and operational s...
The transformation of waste management toward a circular economy has become a crucial agenda for urban sustainability in Indonesia, including Denpasar...
The study "TANTANGAN IMPLEMENTASI CIRCULAR ECONOMY DALAM PENGELOLAAN SAMPAH PERKOTAAN (STUDI KASUS: KOTA DENPASAR)" addresses a highly pertinent and t...
The government has built a Wastewater Treatment Plant (WWTP) to reduce environmental pollution. Suwung WWTP is a liquid waste treatment unit construct...
This paper presents a valuable analysis of the technical effectiveness of the aerated lagoon units at the Suwung Wastewater Treatment Plant (WWTP) in...
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...
This study tackles a highly relevant public health concern: iron deficiency anemia among women of childbearing age, specifically within a population o...
The "MANTAP" (Adaptive Mentality) program as a management strategy can strengthen the resilience of students studying at Sultan Ageng Tirtayasa Univer...
This study presents a timely and relevant investigation into the impact of the "MANTAP" (Adaptive Mentality) program on the resilience and stress leve...
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...
Communities living near landfill sites are often exposed to high levels of ambient air pollution, which may impact their physical and psychosocial hea...
Electrocardiograms (ECG) are important for detecting arrhythmias. Conventional models such as CNN and LSTM are accurate but require large amounts of c...
The manuscript "ECG-BASED ARRHYTHMIA DETECTION USING THE NARROW NEURAL NETWORK CLASSIFIER" addresses a critical challenge in medical diagnostics: enab...
One of the biggest obstacles to creating precise machine learning models is choosing representative and pertinent characteristics from big, unbalanced...
The paper "QUANTUM-ASSISTED FEATURE SELECTION FOR IMPROVING PREDICTION MODEL ACCURACY ON LARGE AND IMBALANCED DATASETS" addresses a critical challenge...
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