Accepted manuscripts
Waste Classification Model Optimization with Modified MobileNetV3 for Efficient Waste Management
Putri Andani, Ramadian Ridho Illahi*, I Wayan Sudiarta, Marzuki, and Arif Budianto
Abstract: The increase in population and economic activity has a significant impact on the amount of waste. Data in 2023 states that waste in Indonesia still cannot be managed properly. One solution to overcome this problem is through recycling with waste sorting as a crucial stage. This research develops a waste classification model using modified MobileNetV3S. The classification process is performed using Convolutional Neural Net- work (CNN) method and parameter fine-tuning. This model is able to classify five different categories of waste, namely plastic bottles, leaves, plastic sheets, paper, and metal. These categories were chosen by considering the common practice in waste classification for recycling purposes. The results show that the validation accuracy reaches 96.2% with a loss value of 0.049. These results can significantly contribute to better and sustainable waste management efforts.
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Identification of Areas at Risk of Abrasion Application of Electrical Resistivity Tomography (ERT) Method on Nangai Beach, North Bengkulu
Bayu Saputra, Suhendra*, Halauddin, and Liza Lidiawati
Abstract: A study of the underground structures in areas prone to abrasion of Nangai Beach, North Bengkulu Regency. In this study, 2D images of the subsurface structure at the Nangai Beach site were obtained using the Wenner-Schlumberger configuration, while 3D representations were obtained using the Electrical Resistivity Technique (ERT). To protect coastal materials, the main objective of this research is to identify rock types that are resistant to seawater erosion and measure the resistivity of rocks that can be eroded. In addition, software (ERT LAB 64, View Lab 3D and Res2Dinv) was used to analyze the data by processing it and displaying an image of the resistivity value. The interpretation results show that the coastal zone of the study area is dominated by clays with resistivity (> 34 m). The shoreline of Nangai beach consists of shale clay (>> 437 m). Rocks having a resistivity value (437 m) are not easily eroded by erosion in shale clay. This is because the rocks known as shale clay have low porosity, resulting in compact rock density. Restoring damaged soil and planting trees near the coast are two ways to slow down the abrasion process.
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Quantum Square Wells with Capacitive Walls: A Toy Model for Quantum Capacitors
Arifin Achmad
Abstract: This research aims to determine the energy quantization in a one-dimensional infinite square well modified by capacitive walls. The electric field inside the wall produces a linear potential. The solution to the Schrdinger equation is the Airy function for an infinite square well. Furthermore, the Wentzel-Kramers-Brillouin (WKB) approach is applied to finite wells, and the energy quantization for both cases based on this modified potential has been derived. In this paper, we also examine the quantum capacitance of the system, which is determined from the density of states and depends on dimensionality. The result of this work is a toy model that does not yet provide a complete complex picture of the quantum capacitance model. However, this model shows similarities in terms of energy dispersion relations and quantum capacitance with several types of graphene systems.
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The Influence of Cross Equatorial Northerly Surge (CENS) and El Ni ˜no Southern Oscillation (ENSO) on Atmospheric Dynamics in Western Indonesia
Jhon Paul Estomihi Togatorop*,1 Sayful Amri,2 and Jerremy Mezac Sopacua1
Abstract: Indonesias position between the Asian and Australian continents makes its weather highly sensitive to atmospheric interactions from both regions. This study examines the impact of Cross-Equatorial Northerly Surge (CENS) and El Ni˜no Southern Oscillation (ENSO) phasesNeutral, La Ni˜na, and El Ni˜noon atmospheric dynamics over western Indonesia. The analysis focuses on CENS propagation from the southern South China Sea to the west of the Java Sea, comparing atmospheric responses during CENS-ENSO Neutral, CENS-La Ni˜na, and CENS-El Ni˜no events. Using ERA-5 reanalysis data and CMORPH precipitation data (0.25◦ spatial, hourly temporal resolution), we analyzed sea surface temperature (SST), outgoing longwave radiation (OLR), precipitation, moisture transport, and divergence. Under neutral ENSO conditions, CENS strengthens the Asian monsoon, enhancing moisture transport and convergence over northern Java, leading to increased deep con-vection and precipitation, while Sumatra and Kalimantan experience moisture divergence and reduced cloud cover. During La Ni˜na, enhanced moisture transport and convergence extend to Kalimantan, further amplifying convective activity and rainfall. In contrast, during El Ni˜no, the cooling effect of CENS on the South China Sea weakens, but moisture convergence intensifies over the Java Sea, triggering cloud development despite suppressed convection. These findings highlight the crucial role of CENS-ENSO interactions in modulating regional weather patterns and extreme events, offering insights for improving weather forecasting, disaster mitigation, and climate modeling in western Indonesia.
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Image Quality Assessment of In-House Phantom for Pediatric Computed Tomography
Audiena Gelung Prayitno,Dafa Miftahuddin, Aditya Prayugo Hariyanto, M. Roslan A Gani, and Endarko
Abstract: Computed tomography (CT) offers several advantages. However, it involves a high dose of radiation exposure. In pediatric CT scans, reducing the radiation dose can lead to increased noise and lower image quality. Generally, there is a significant relationship between radiation dose and diagnostic image quality. This research investigates and analyzes the correlation between low-dose radiation and image quality in pediatric CT scans. This study used in house pediatric phantoms (7 year). Twelve artificial cylinder targets were fabricated with diameters 3, 5, 8, and 10 mm, and CT densities +100, -400, -750 HU. The image quality was performed using CT-Scan 128 slice with parameters of helical scanning using a low dose and standard dose and using 80 and 120 kV. For Signal noise to ratio (SNR), Contrast to Noise Ratio (CNR), Volumetric CT dose index (CT-DIvol), SizeSpecific Dose Estimates (SSDE) also investigated. The effective value of the diameter for 7 years was 20.15 cm. Findings suggest, SSDE for in-house pediatric phantoms was found to be 3.71 mGy for low dose and 6.09 for standard dose. For image quality analysis, the low-dose CT protocol has a detection sensitivity of 100% for targets measuring > 5mm in diameter.
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