bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conversion of Salam leaves (Syzygium polyanthum (Wight) Walp.) bio-kitchen waste as functional activated carbon for sustainable supercapacitor electrodes
Authors: Windasari  , Taslim Rika 
Published: February 2022

Abstract
Porous carbon based on bio/organic waste is a very popular raw material used in high-level applications due to its advantages of high porosity, high electrical conductivity, suitable pore structure, and good stability. In this study, bio-kitchen waste is used as a precursor to obtaining high functional activated carbon which is applied to electrochemical energy storage applications. This kitchen waste is focused on Salam leaves (Syzygium polyanthum (Wight) Walp.). Precursors are converted to porous carbon through a simple technique and a green approach without the addition of synthetic materials. In addition, activated carbon is designed in a new form of monolith without a binder. The material properties were thoroughly investigated through monolith dimension reduction and X-ray diffraction. The dimensions of the monolith are reviewed based on mass, thickness, and diameter. The activated carbon obtained shows porosity and amorphous properties which are useful in supporting its electrochemical natures. Furthermore, the electrochemical properties of carbon electrodes were reviewed using standard cyclic voltammetry and galvanostatic charge-discharge methods in a two-electrode system. In addition, a 1M H2SO4 aqueous electrolyte was selected to enhance the supercapacitor cell performance and it exhibit high specific capacitance of 145 F g−1. Based on these results, it is surprising that bio-kitchen waste has great potential as a high-carbon material for high-level applications.
Effects of heat treatment on the microstructure of the ODS (oxide dispersion strengthened) steel Fe-9Cr-0.5Y2O3
Authors: Bandriyana B , Sugeng B , Salam R , Hairani D , Sujatno A , Shabrina N 
Published: February 2022

Abstract
Synthesis of a ferritic ODS steel Fe-9Cr-0.5Y2O3 was carried out to develop as a candidate for nuclear fuel cladding material. The ODS steel was fabricated by powder metallurgy method with mechanical alloying, compaction and plasma sintering process. Effects of heat treatment on microstructure was investigated to enhance the mechanical properties. The heat treatment was carried out by annealing and tempering processes at temperatures of 900°C and 670°C with reference to the Fe-Cr phase diagram. Characterization was carried out using SEM-EDX and XRD test for microstructural analysis and Vickers hardness measurement. It is revealed that the heat treatment process will change the grain size and phase that affected the hardness of material.
Synthesis of ferritic ODS steel with different electric current in arc plasma sintering method
Authors: Shabrina Nanda , Sugeng Bambang , Salam Rohmad , Sujatno Agus , Haerani Diene Noor , Bandriyana B 
Published: February 2022

Abstract
Ferritic ODS (Oxide Dispersion Strengthened) steel has been synthesis by Arc Plasma Sintering method with different electric current from milled powder in Fe-14Cr-0.5Y2O3 wt% composition. Ferritic milled powder was carried out using high-energy milling with various BPR (Ball to Powder Ratio) and milling duration. The samples’ crystallite size-strain, phase, and composition were analyzed by XRD (X-Ray Diffraction) with Rietveld methods. The microstructures and micro-hardness were investigated by Optical microscopy, SEM-EDS (Scanning Electron Microscopy-Energy Dispersion Scanning), and Vickers microhardness. The different electric currents of Arc plasma sintering affect the microstructure and mechanic properties of the samples. The results observed ferrite formation. Some void and aggregation were also observed in the samples. However, the microhardness increases by increasing the electric current. On the other hand, the main phase Fe-Cr was also observed in the samples, while the crystallite size-strain also changed by changing the electric current.
Complete ensemble empirical mode decomposition with adaptive noise integrating feedforward neural network for tourist arrival forecasting
Authors: Herawati S , Negara YDP , Latif M 
Published: February 2022

Abstract
The tourism sector has an important role in helping the income of a region, especially for economic development and opportunities to expand employment. However, the trend tourist arrival to these tourist attractions has decreased since the COVID-19 pandemic. The government enforces a new normal policy to reopen tourist attractions by implementing health protocols. Local governments and tourism managers need forecasting of tourist arrivals to help plan the tourism sector in the future and anticipate an increase in tourist arrival. Most tourist arrivals are influenced by several factors, such as : seasonality, politics, disasters, crises, and other important events. One method to accommodate these factors is using Ensemble Empirical Mode Decomposition (EEMD). However, EEMD still produces a mixing mode during decomposition. Complete Ensemble Mode Decomposition with Adaptive Noise (CEEMDAN) is proposed to overcome the weaknesses of EEMD. This research integrates CEEMDAN with Feedforward Neural Network (FNN) in generating forecasts. The experiment results show that the integration of CEEMDAN and FNN can produce good forecasting accuracy.
Investigation Cogging Torque of PMM with rotor and Stator optimization for renewable energy application
Authors: Sirait Patia Welly , Siregar Marsul , Nur Tajuddin , Panjaitan Lanny 
Published: February 2022

Abstract
This paper proposes the cogging torque reduction by using the optimization of the slotting method on the stator and the cutting edge of the rotor side magnet of the Permanent Magnet Machiene (PMM), of the Synchrounous Generator (PMSG). Here, the effect on the cross-sectional area of the magnetic poles and the additional width of the slot opening will lead to an improvement in the reduction of cogging torque for the investigated of the machine. The proposed machine has 6 poles and 18 slots with a fixed slot opening widths on the stator and modified magnetic poles on the rotor. The software used to investigate and analyze the saturation of the induced cores in the stator and rotor of machine is the magnetic finite element method (FEMM 4.2). The most cost-effective method to minimize the presence of cogging torque of any PMSG is to conduct the modification of the rotor where the magnets are located and modify the stator structure despite the complexity and cost of manufacturing the stator. Here, the cutting of magnetic edge structure using a simple cutting method is implemented. This is a different method from that already widely implemented for cutting the edge of the magnet surface. The simulation results show that the PMSG cogging torque by cutting the magnetic edge and adding a dummy slot can significantly minimize the cogging torque. It is found that the cogging torque reduction is 99.47 percent. This condition as the low cogging torque and low PMG speed can be used for reference design and PMSG construction for renewable energy plants such as in geothermal power plants.
Synthesis and structural characteristic of Nd3+/Er3+ co-doped Lithium Fluorophosphate (LFP) glasses
Authors: Rajagukguk Juniastel , Hariono  , Panggabean Jonny H , Rajagukguk Donna H , Sarumaha Chayani , Kaewkhao Jakrapong 
Published: February 2022

Abstract
Transparent fluorophosphate glass containing face center cubic LiF crystals doped with Nd3+/Er3+ were succesfully characterized by melt-quenching method. The sample composition following chemical formula (65-x)P2O5-20LiF-14CaF-1Nd2O3-xEr2O3 (x = 0.0; 0.5; 1.0; 1.5 and 2.0 mol%). The density parameter was calculated using Archimedes method in distilled water and this value used to calculating of molar volume. Several physical properties of Nd3+/Er3+ co-doped LFP glasses were calculated and correlated with structural properties. The X-ray diffraction (XRD) spectrum used to verify the glasses structure. The further structural characteristic was investigated using FTIR. Based on the investigation is discovered that the prepared co-doped glasses shows amorf and high transparency.
Requirement analysis for human factor engineering on SMR-NuScale design
Authors: Maerani R , Suryono T J , Santoso S 
Published: February 2022

Abstract
Human Factors Engineering (HFE) is an important element of control room facility design and Man Machine Interface (MMI) design whose principles must be applied systematically to ensure the safe operation of power reactors. In the design of the NuScale Small Modular Reactor (SMR), the United States-Nuclear Regulatory Commission (US-NRC) as an international regulatory body has published Design-Specific Review Standards (DSRS) for Nuclear SMR design which are specific for NuScale. There is no specific discussion related to HFE in the document. However, in order to develop the NuScale design in In Indonesia, we can learn from Oregon State University, the first Nuscale developer, regarding the requirements when those are compared to the large nuclear reactors. Therefore, reviewing the NuScale SMR design needs to be carried out starting with the conducting a requirement traceability analysis by tracing the guidelines from the regulatory body and knowing the recommended guideline in developing the HFE design, especially for the specific SMR/NuScale. It is hoped that by understanding the process of verifying these requirements documents, Indonesia will be able to apply the HFE for the NuScale reactor by meeting the criteria required by BAPETEN and be able to prepare the validation method so that the design can obtain a license.
Pneumonia identification based on lung texture analysis using modified k-nearest neighbour
Authors: Kana Saputra S , Taufik Insan , Hidayat Mhd , Dharma Dinda Farahdilla 
Published: February 2022

AbstractCovid-19 is a virus that was first discovered in China, which has the impact of mild and severe respiratory infections such as pneumonia. Pneumonia is inflammation and consolidation of lung tissue due to infectious agents. Generally pneumonia has a high mortality rate, as do Covid-19 patients. For now, it is very difficult to distinguish between Pneumonia and Covid-19, due to the high similarity of X-Ray image results. The high similarity has an impact on the difficulty of difference between Pneumonia and Covid-19 patients. This research aims to be able to different Pneumonia and Covid-19 patients based on texture analysis of the Gray Level Co-Occurrence Matrix using Modified k-Nearest Neighbour as a classifier. The calculations used in the Gray Level Co-Occurrence Matrix method are Contrast, Correlation, Energy, and Homogeneity which will be input for the Modified k-Nearest Neighbour classifier. The results showed that the highest accuracy is when the value of K = 3 using Manhattan Distance and 80%:20% data percentage, which is 87.5%. For the values of K = 7 and K = 9 there is no change in accuracy, so it can be concluded that the value of K that affects accuracy only occurs at the values of K = 3 and K = 5. Then, the higher the K value, the lower the resulting accuracy.
Testing and development of plastic optical fiber as humidity and temperature sensor
Authors: Waluyo B D , Sari R D , Januariyansah S 
Published: February 2022

Abstract
This experiment has developed and tested a plastic fiber optic-based temperature and humidity sensor (FOTHS). In the FOTHS test, the leading equipment is needed, such as a single model plastic optical fiber, a test chamber, a time-domain reflectometer (OTDR), a computer for data acquisition, and silicone oil used as a substitute for the 3 cm long optical fiber cladding layer. Silicone oil is used as a sensor material because it has a high sensitivity to changes in temperature and humidity. Optical fiber testing is carried out in a light-tight test chamber by changing the temperature and humidity. Changes in light intensity with changes in temperature and humidity are measured by OTDR, with information in voltage changes. At a constant temperature and variable humidity, information was obtained that the light intensity increased linearly at 45 °C with an increase in voltage of 0.0057 volt/1% RH. At constant humidity and variable temperature, information was obtained that the light intensity will decrease linearly at 20% RH with a voltage drop of 0.0171 volt/1 °C. Changes in voltage to variations in temperature and moisture make plastic optical fiber a temperature and humidity sensor.
Development of interactive learning media in computer network using augmented reality technology
Authors: Hutahaean Harvei Desmon , Muhammad Aulia Rahman S , Mendoza Muhammad Dominique 
Published: February 2022

Abstract
Technological development affect on aspects of education that impact on learning activities. In computer networks learning, there is still rarely media use which has an impact on students’ understanding of how to install computer networks. Current mobile phones have many features that can be used to play games, watch videos, listen to music, personal assistant, find information, GPS, and many more. One of the interesting technologies that can be developed on mobile phones is Augmented Reality. Augmented Reality (AR) is a technology that combines two-dimensional or three-dimensional virtual objects into a real three-dimensional environment and then projects these virtual objects in real time. This research discusses the development of learning media Augmented reality of computer network installation. The purpose of this research is to develop augmented reality learning media and build media that makes it easier for students to understand the process of installing computer networks that becomes an alternative as a learning media. The method used is Research and Development (R&D).
The utilization of biomass waste as charcoal briquette to reduce waste disposal
Authors: Gunawan Safri , Nursanni Banu , Suprapto  , Januariyansah Sapitri 
Published: February 2022

Abstract
This study focuses on the potential of biomass to be developed becomes charcoal briquette. Based on data from the Central Bureau of Statistics (North Sumatra Province), the planted area and total coconut production of North Sumatra Province in 2019 were 110,345 hectares and 99,132 tons. The objective of this research is to obtain the properties of charcoal briquettes by varying the composition and pressure. The variations of the briquette moulding pressure are 80 and 100 Bar with composition variations of 1:10 and 1:15, respectively. The experimental tests were carried out to obtain Young’s modulus and wt% of briquette. The results showed that the value of tensile strength and wt% of briquette depends on the moulding pressure and duration of drying. The conclusion of this study shows that coconut shell and durian skin waste are very likely to be used as a renewable alternative fuel energy source as briquette.
Seismicity and influence of coulomb stress on the risk of earthquakes in South Sulawesi
Authors: Suharna A , Eko Hadi Sujiono , Palloan Pariabti 
Published: February 2022

Abstract
This study aims to analyze the distribution of earthquake events, analyze seismicity based on the parameters of b value, analyze changes in Coulomb stress and analyze the risk of earthquake events in South Sulawesi based on seismicity levels and changes in Coulomb stress in the range of 1991-2021. The data used in this study is data on earthquake events in 1991-2021 obtained from the IRIS and ISC catalogues. Data from the IRIS catalogue is mapped using ArcGIS software to see the distribution of the next earthquake spread processed by using MATLAB-based ZMapp 7 software to obtain the value of seismicity parameter (b value). Data from the ISC catalogue is mapped using Google Earth software to see the spread of earthquakes and then processed using MATLAB-based Coulomb 3.1 software to obtain analysis of stress Coulomb changes. Based on the results of the analysis obtained a value of b between 0.9-1.5 shows the value of b obtained is relatively low which correlates with a high level of stress. Based on the results of the analysis of changes in Coulomb stress obtained the movement of increased stress towards the red lobe with a value of 0.1 to 1 bar and decreased stress towards the blue lobe with a value of -0.1 to -1 bar. In general, earthquake-prone areas are located in the northern to central parts of South Sulawesi.
Assessment of the reliability of deconvolution procedures for RCF spectroscopy of laser-driven ion beams
Authors: McCallum S. , Milluzzo G. , Borghesi M. , Subiel A. , Romano F. 
Published: February 2022

Abstract
Laser-driven ion beams are defined by a number of unique features, including a large spread in energy. A stack configuration of radiochromic films (RCF) can be utilized to characterize such beams through measurements of their energy spectra. A spectroscopic procedure is reported that allows the proton energy density within each active layer of a radiochromic film (RCF) stack to be retrieved. This is based upon on a deconvolution algorithm developed through Geant4 Monte Carlo simulations to correct the contributions of energy depositions within a given film layer. Through Monte Carlo calculations, the spectrum retrieved from a simulated film stack can be retrieved and compared with a known energy spectrum, providing an examination of the efficacy of this tool. Application of the developed deconvolution procedure thus offers the potential to correctly reconstruct the incident energy spectrum of a laser-driven proton and ion beam from a stack of irradiated RCF.
Adaptive protograph-based BICM-ID relying on the RJ-MCMC algorithm: a reliable and efficient transmission solution for plasma sheath channels
Authors: LIU Yanming , WEI Hailiang , SHI Lei , YAO Bo 
Published: February 2022

Abstract
For reentry communication, owing to the influence of the highly dynamic plasma sheath (PS), the parasitic modulation effect can occur and the received phase shift keying (PSK) signal constellation can be severely rotated, leading to unacceptable demodulation performance degradation. In this work, an adaptive non-coherent bit-interleaved coded modulation with iterative decoding (BICM-ID) system with binary PSK (BPSK) modulation and protograph low-density parity-check under the PS channel is proposed. The proposed protograph-based BICM-ID (P-BICM-ID) system can achieve joint processing of demodulation and decoding, where the soft information is adaptively estimated by reversible-jump Markov chain Monte Carlo (RJ-MCMC) algorithms. Simulation results indicate that compared to existing algorithms, the proposed system can adapt well to the dynamic characteristics of the PS channel and can obtain a 5 dB performance improvement at a bit error rate of 10−6.
Wearable devices to monitor recovery after abdominal surgery: scoping review
Authors: Wells Cameron I. , Xu William , Penfold James A. , Keane Celia , Gharibans Armen A. , Bissett Ian P. , O’Grady Greg 
Published: February 2022

Abstract

Background
Wearable devices have been proposed as a novel method for monitoring patients after surgery to track recovery, identify complications early, and improve surgical safety. Previous studies have used a heterogeneous range of devices, methods, and analyses. This review aimed to examine current methods and wearable devices used for monitoring after abdominal surgery and identify knowledge gaps requiring further investigation.

Methods
A scoping review was conducted given the heterogeneous nature of the evidence. MEDLINE, EMBASE, and Scopus databases were systematically searched. Studies of wearable devices for monitoring of adult patients within 30 days after abdominal surgery were eligible for inclusion.

Results
A total of 78 articles from 65 study cohorts, with 5153 patients were included. Thirty-one different wearable devices were used to measure vital signs, physiological measurements, or physical activity. The duration of postoperative wearable device use ranged from 15 h to 3 months after surgery. Studies mostly focused on physical activity metrics (71.8 per cent). Continuous vital sign measurement and physical activity tracking both showed promise for detecting postoperative complications earlier than usual care, but conclusions were limited by poor device precision, adherence, occurrence of false alarms, data transmission problems, and retrospective data analysis. Devices were generally well accepted by patients, with high levels of acceptance, comfort, and safety.

Conclusion
Wearable technology has not yet realized its potential to improve postoperative monitoring. Further work is needed to overcome technical limitations, improve precision, and reduce false alarms. Prospective assessment of efficacy, using an intention-to-treat approach should be the focus of further studies.
FII and Perplexing Presentations: What is the Evidence Base for and against Current Guidelines, and What are the Implications for Social Services?
Authors: Gullon-Scott Fiona , Long Cathie 
Published: February 2022

AbstractFabricated or induced illness (FII) and perplexing presentations (PPs) are the terms used by the Royal College of Paediatrics and Child Health (RCPCH) in the UK. FII is presented as if synonymous with Munchausen syndrome by proxy, a rare presentation which is now known in Diagnostic and Statistical Manual of Mental Disorders, 5th Edition as factitious disorder imposed on another (FDIoA). However, FII is not a diagnosis, and the definition is far broader than FDIoA. RCPCH admit that there is a limited evidence base for the prevalence, specificity or sensitivity of FII and the associated ‘alerting signs’, and yet local authorities across the UK have Child Protection Policies developed directly from the RCPCH guidelines. An increasing number of families of children with neurodevelopmental presentations (such as autism), or presentations of complex or less well-known conditions such as Ehlers–Danlos syndrome, are finding themselves being investigated for FII by Social Services, and consequently labelled as potential ‘perpetrators’ of child abuse, on the basis of FII guidelines. The present article discusses the issues relating to FII and PP, how current guidelines are creating implicit and explicit bias against certain kinds of families and the implications for Social Services.
Performance test of medium-temperature chiller with induction air-conditioning system
Authors: Hong Yuhua , Wang Gaoyuan , Wang Zhiyi 
Published: February 2022

Abstract
In this paper, medium-temperature chiller with induction air-conditioning system is introduced. Several onsite measurements were carried out on temperature and relative humidity distribution and energy consumption in summer 2020 in order to study the potential performance when applied in hot summer cold winter zone. The performance test results show that (1) the indoor temperature and humidity both comply with the range of design parameters; (2) the corresponding indoor air dew point temperature is much lower than the supply air temperature of air inductive unit, which implies no condensed water or dew on surface of air inductive unit; (3) the performance of the circulation pump, extensive type air handling unit fan; and medium-temperature chiller has exceeded the requirements of national standards.