bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of azimuthal resistivity survey data processing program with graphical user interface for anisotropic coefficient quantification
Authors: Atmaodi Berith , Parnadi Wahyudi W. 
Published: June 2022

Abstract
The physical properties of underground material are anisotropic. This applies to all physical properties including resistivity. Anisotropic property is quantified by the anisotropic coefficient. The anisotropy of physical properties can be shown by 2D and or 3D modeling, but it is not always economically efficient for small-scale studies, while 1D modeling is not capable of showing the anisotropy effect. One of the many geophysical methods developed to learn about anisotropic properties under the earth is the azimuthal resistivity survey (ARS) which is the improvement of the vertical electrical sounding (VES) method. Measurement is carried out in one dimension with various electrode spacing and azimuth of electrode lines. The result of this measurement is VES data for various azimuths. ARS data is then plotted with a polar plot to show the anisotropy of physical properties below the surface. The anisotropic coefficient calculation is carried out by performing the one-dimension inversion of the measurement data for every azimuth, for a user-defined number and constant thickness of the layer. The result is then used to calculate the variation of the anisotropic coefficient value against depth. The algorithm used to create the polar plot and VES data inversion are then combined into one program based on Python programming language. This program is equipped with a graphical user interface (GUI) to make the program more user-friendly. The program is tested with synthetic data and successfully imaged the anisotropic coefficient variation against depth for the synthetic data.
A Preliminary Result of Seismic Hazard Analysis in Eastern Part of Bali Island, Indonesia
Authors: Priambodo Imam Catur , Zulfakriza  , Solikhin Akhmad , Cipta Athanasius , Martanto  , Ardianto  
Published: June 2022

Abstract
Bali Island is one of the main tourist destinations in Indonesia. However, Bali Island is also prone to earthquakes, as evidenced by several historical destructive earthquakes, especially in the eastern part of Bali. A probabilistic seismic hazard modeling is undertaken to analyse the earthquake hazard, as well as studying the contribution of local geological conditions to earthquake ground motion. We use seismic waveforms retrieved from 23 temporary seismic stations across the eastern part of Bali Island from December 2018 to June 2019 and 5 permanent seismic stations around Mount Agung and Batur. The recording data were processed using the Horizontal to Vertical Spectral Ratio (HVSR) method. Our preliminary result shows local geological conditions for each station, represented by the value of the average shear-wave velocity on rocks to a depth of 30 meters (Vs30) and the total thickness of sediments above the bedrock (basin depth). These initial results will then be developed as site parameter input for probabilistic seismic hazard analysis in the eastern part of Bali.
Features Engineering and Features Extraction of Volcano-Tectonic (VT) Earthquake
Authors: Martanto Martanto , Nugraha Andri Dian , Sahara David P. , Syahbana Devy Kamil , Rahsetyo Puput P. , Priambodo Imam C. , Ardianto Ardianto 
Published: June 2022

Abstract
A volcano-Tectonic earthquake, commonly referred to as VT, is an earthquake caused by magma intrusion that increases the pressure below the volcano’s surface. The accumulation of stress that continuously affects the elasticity of rocks causes fractures when the elasticity limit of rocks is exceeded. VT is one of the earthquakes used as a parameter to decide the level of volcanic activity. To understand the characteristics of VT, it is necessary to do features engineering, which is a process of extracting features so that the characteristics of VT are obtained. The data used in this study was the VT earthquake when Agung was in crisis in 2017. The extraction process is conducted by performing statistics calculations in temporal and spectral domains. The waveform of VT is univariate time series data, and to perform the extraction of features, this study uses changes in amplitude value to the time taken from the waveform. Features that were successfully extracted from this study are as many as 48 features. The result of the extraction of these features can be used as input parameters in performing auto-classification of VT using machine learning.
Velocity Dispersion Attribute in Carbonate Reservoir
Authors: Erlangga M P , Sukmono S , Triyoso W , Sanny T A , Sigalingging A S , Wijaksono E 
Published: June 2022

Abstract
Detection of the presence of saturated hydrocarbons in pores or rock fractures is a major problem in the field of exploration geophysics which is interesting to study. Some of the fluid saturation indicators were originally derived from the Zoepprit equation. However, the indicator that is derived from the linearization of the reflection coefficient is not influenced by frequency. In fact, frequency is a physical quantity that is very sensitive to the presence of fluid in a pore or rock fracture. Seismic waves will experience attenuation and dispersion when propagating through a porous medium or gas-saturated fractures. Therefore, we need an indicator whose value is influenced by changes in the frequency of seismic waves. This indicator is an attribute of the velocity dispersion. In previous studies, the velocity dispersion attribute was used to detect the fluid content of gas in sandstone. Based on this research, it turns out that it shows effective results in mapping the presence of saturated gas zones in the carbonate pores. In the end, the results of this study will be able to map the presence of saturated gas zones in carbonate reservoir.
Design of Real-Time Object Detection in Mobile Robot for Volcano Monitoring Application
Authors: Evita M , Mustikawati S T , Djamal M 
Published: June 2022

Abstract
Indonesia is one of the countries located at the ring of fire which should be monitored to predict the eruption earlier and set the risk zones around with no human involvement especially while eruption taking place. Therefore, in this research, it is used a 4 wheeled mobile robot called PRAWIRA for this purpose. The robot should have the ability to avoid the obstacles in front of it in this area. It has been designed a real-time object detection system for volcano monitoring application using deep learning from the YOLOv5s model for 4 objects (trees, persons, stones, and stairs). It was used 484 images for the dataset after the pre-train process was conducted with several steps: object identification; dataset downloading (Google Chrome Extension and Open Images v6); image labeling (LabeImg); augmentation process (flip, blur, and rotation); and data training for varies epochs and batches by Jupyter Notebook GPU. The preliminary result for this research was presented in the mean average precision (mAP) of YOLOv5s (the smallest version). The first variation (batch = 16, epochs = 100) resulted in mAP_0.5 = 17.9% and mAP_0.5:0.95 = 7.27% with 0.262 hours of training time. The second (batch = 16, epochs = 500) resulted in mAP_0.5 = 25.7% and mAP_0.5:0.95 = 12.3% with 1.296 hours of training time, while the third (batch = 80, epochs = 100) resulted in mAP_0.5 = 17.7% and mAP_0.5:0.95 = 5.63% with 0.232 hours of training time. Furthermore, the last variation (batch = 80, epochs = 500) resulted in mAP_0.5 = 19.5% and mAP_0.5:0.95 = 8.92% with 1.085 hours of training time. Therefore, the second variation is the best result for the model with 14.8 MB of size. Moreover, interfaces for the best model were displayed to show the result of the training.
Design of Micro Power Energy Harvesting by Using High-Powered Engine Noise (Case Study: Generator Set ITK)
Authors: Hariyanto M F , Mayantasari M , Robiandi F 
Published: June 2022

Abstract
Study on design of micro power energy harvesting using high-power engine noise was aimed to compare the output voltage generated between random noise and stable noise and also determined the piezoelectric circuit variation which produced by ITK’s generator set noise. The noise energy harvester consisted of a quarter wavelength resonator box, three fins, and 3 ceramics piezoelectric. Function generator used to produce a stable wave and the ITK’s engine used to generate random wave. The first experimental result showed that piezoelectric average output voltage from noise engine was higher than noise from function generator when the circuit variation was 1 piezoelectric, parallel circuit, and 3 parallel-series piezoelectric and the opposite, series circuits generated average output voltage was the lowest. The pattern of piezolectric average output voltage which was generated from noise engine source fluctuates, didn’t as stable as noise function generator. This research also got the result that three series piezoelectric generated average output voltage higher than the others with the value of 201,07 mV when SPL and f respectively was 103,5 dB and 223,62 Hz. A higher output would be generated by increase the number of piezoelectric and arranged them into series circuit.
Surface Functional Groups Effect on the Absorption Spectrum of Carbon Dots: Initial TD-DFT Study
Authors: Umami Reza , Permatasari Fitri Aulia , Sundari Citra Deliana Dewi , Muttaqien Fahdzi , Iskandar Ferry 
Published: June 2022

Abstract
Carbon dots (CDs) have attracted considerable interest due to their remarkable performance, low cost and ease of preparation, and wide range of potential applications. Surface engineering, including modifying the surface functional group and subsequent chemical modification, is preferable to achieve the requirement of the specific application. Oxygen and Nitrogen-based surface functional groups are two common functionalizations on CDs that are subsequently generated during the synthetic process. In this study, we elucidate the optical properties of oxygen and nitrogen-functionalized CDs using time-dependent density functional theory (TD-DFT). Both considered functional groups, the carbon-oxygen double bond (-C=O) and amino groups (-NH2), are quite favourable to tailor the optical properties of CDs, especially in enhancing its absorption spectrum. Moreover, the carbonyl (-C=O) and amino (-NH2) functional groups effectively serve a new absorption peak in the first near-infrared window (650-900 nm). Our results suggest the potential application of the amino and carbonyl functionalized CDs as a photothermal agent in photothermal cancer therapy.
Rietveld study on the effect of pelletizing and sintering towards the structural evolution of Li1.3Al0.3Ti1.7(PO4)3
Authors: Sohib Ahmad , Karunawan Jotti , Sundari Citra Deliana Dewi , Floweri Octia , Iskandar Ferry 
Published: June 2022

Abstract
Lithium aluminium titanium phosphate, Li1.3Al0.3Ti1.7(PO4)3 (LATP), is a highly potential material for solid electrolyte (SE) in an all-solid-state battery (ASSB) thanks to its superior ionic conductivity. The crystallinity of the material plays an important role in determining the ionic conductivity, ensuring the excellent performance of ASSB. To be applied in the ASSB, LATP should be pressed into a disc and then sintered at a high temperature to obtain the dense disk. This research aims to investigate the effect of pelletizing and sintering on the crystallinity of LATP. LATP powder was synthesized via a sol-gel method and mechanically pressed into pellets and sintered. Morphology and structural features of the LATP samples (powder and pelletized samples) were characterized using a scanning electron microscope (SEM) and X-ray diffraction (XRD), respectively. The results demonstrated that the particle size of LATP in the pelletized samples was larger than the powder one. This morphology possibly contributed to the lower internal resistance of LATP and, therefore, its higher ionic conductivity. Rietveld refinement analysis showed that the crystalline properties of LATP changed after pelletizing and sintering treatment. This research demonstrated the importance of well consideration of pelletizing and sintering process to achieve high ionic conductivity of LATP.
Variation of Mesh Peel Ply and Gelcoat on Mechanical Properties of Carbon Twill-Vinyl Ester Composites Using Vacuum Assisted Resin Infusion Manufacturing Method
Authors: Nurtiasto T S , Wandono F A , Muzayadah N L , Fazabik R 
Published: June 2022

Abstract
This study discussed the modifications made to the Vacuum Assisted Resin Infusion (VARI) method to make composites. Composites made using the standard VARI method sometimes have values that have not reached the desired standard. In addition, there was a modification to add Gelcoat and mesh peel ply from previous studies that used e-glass fiber and epoxy resin, which positively affected the mechanical properties of the composite. In this study, carbon twill material was used, which is relatively better in mechanical properties than e-glass fiber and vinyl ester resin with different viscosity from epoxy. The finite element simulation was also performed to compare the load versus displacement graph with the testing. The tensile test results of the VARI with double mesh peel ply increased by 1.61%, while VARI with the addition of gelcoat increased 4.34% from the composite with the standard method of 527.62 MPa. The tensile test results of the VARI with double mesh peel ply decreased 17.20%, while the VARI with the addition of gelcoat decreased 30.24% from the composite with the standard method of 29.97 MPa.
Influence of fumed silica and PMMA on optical properties of blue-emitting CH3NH3PbBr3 perovskite nanocrystals
Authors: Ummah Auliya Rahmatul , Mahen Ea Cahya Septia , Nuryadin Bebeh Wahid 
Published: June 2022

Abstract
Fabricating highly efficient and great optical properties of blue organic-inorganic halide perovskite (OIHP) has proven difficult and continues to be a source of significant interest. Herein, we successfully synthesized blue-emitting CH3NH3PbBr3 perovskite using a ligand assisted reprecipitation process, followed by embedding in fumed silica and poly-methylmethacrylate (PMMA) matrix. By adding fumed silica, the photoluminescence (PL) peak spectrum of CH3NH3PbBr3 was blue-shifted from 481 to 477 nm. Furthermore, OIHP also exhibited a blue shift from 477 nm to 471 nm after being embedded in the PMMA matrix. On the other hand, the OIHP absorbance spectrum shifted from 451 nm to 426 nm, which correlates to the blueshift in the PL peak spectrum. The emergence of two peaks in the absorbance spectrum indicates that nanoparticles with small size distribution have grown on the OIHP. This phenomenon demonstrates that the OIHP has a strong quantum confinement effect. Therefore, the results demonstrated that CH3NH3PbBr3/SiO2/PMMA composite films have great optical properties, which is promising for their uses in potential optoelectronic applications.
Investigation on the Mechanical Properties of the Post-Static Fire Testing Effect of Graphite Material used in the RX320 Rocket Motor Nozzle
Authors: Setiadi  , Wicaksono Bagus , Muzayadah Nurul Lailatul , Wandono Fajar Ari , Nurtiasto Taufiq Satrio 
Published: June 2022

Abstract
The rocket nozzle is a crucial and complicated part of a rocket, primarily for rocket RX320. Its function is to control the exhaust flow, so the rocket gets the maximum possible forward thrust. However, graphite materials are used inside rockets due to good mechanical properties and high melting temperature resistance. This study discussed the effect of post-static rocket fire testing on the mechanical properties of graphite materials and compared them with the technical data sheet (TDS) of its graphite. Mechanical properties testing has been done to determine the average flexural strength value with the flexural test method and the average value of the compressive test. The graphite has an average flexural test value of 40.185 MPa, with an average elastic modulus of 0.656 GPa. Furthermore, the average compressive test of graphite has a value of 67.71 MPa, with an average load of 1,560 N. The mechanical properties trends are slightly decreasing due to post static fire testing compared to TDS. It was around 41.2% for flexural strength and 50.7% for compressive strength.
Study of Phase Transformation, Structures, Morphology, and Vibration of Ni-Zn-Co Ferrites Nanoparticles due to Annealing Temperature
Authors: Zuhroh S , Hidayah ASN , Aturroifah NIM , Wahyuni NEA , Utomo J 
Published: June 2022

Abstract
The good physical and chemical properties of metal ferrite nanoparticles can be used as potential materials when applied. This study aims to explore the physical and chemical properties, such as phase, structure, morphology, and vibration of Ni-Zn-Co ferrites nanoparticles annealed at different temperatures. Ni0.4Zn0.5Co0.1Fe2O4 nanoparticles were synthesized by coprecipitation method and characterized by X-Ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Fourier Transform Infrared (FTIR) Spectroscopy to determine their structure, morphology, and vibration. Overall, all samples showed spinel cubic structures. In addition, XRD analysis showed the phase transformation from magnetite to hematite by increasing the temperature. The increase of annealing temperature leads to the larger average size of nanoparticles which were estimated by analyzing TEM images. The average diameter of nanoparticles with annealing temperature of 600°C was (10.9 + 0.5) nm and the average diameter of nanoparticles with annealing temperature of 1000°C was (18.6 + 4) nm. FTIR measurements between (4000 – 400) cm-1 confirmed the absorption band in the spectrum. The FTIR spectra of the nanoparticles confirmed the presence of metal ion vibrational bands located at octahedral and tetrahedral sites in 418 cm-1 to 696 cm-1. This implies that Ni-Zn-Co ferrites has truly the spinel cubic structures considering their absorption characteristics at about (500 – 600) cm-1.
Microstructure Investigations of Phase Transformation in Cold Working AISI 316L Austenitic Stainless Steel
Authors: Rivai Abu Khalid , Shabrina Nanda , Sugeng Bambang , Sukaryo Sulistioso Giat 
Published: June 2022

Abstract
Development of high temperature and corrosion-resistant materials is one of the key issues for the deployment of advanced nuclear reactors and also to accommodate the problem that occurred in the conventional reactor as the lesson-learned from Fukushima Daiichi nuclear reactor power plant accident. One of the high performance materials for that purpose is austenitic stainless steel such as AISI 316L that widely used for power plant. In this study we investigate the characteristics of AISI 316L austenitic phase transformation if cold working is applied. In general, during the cold working process the mechanical characteristic and the phase of the austenitic steel will change. It is expected that the characteristic of AISI 316L austenitic steel will be improved by optimum cold working mechanism. Cold working of AISI 316L austenitic steel at various percentage reduction of 5%, 15%, 25% and 38% have been done. Afterward, the sample was characterized using X-Ray Diffraction and Optical Microscope to analyze the microstructure characteristics and phase transformation. The results showed that the phase transformation in AISI 316L austenitic steel occurred from austenite – gamma (FCC: Face-Centered Cubic lattice) to martensite – alpha prime (BCC: Body Centered Cubic lattice). The percentage of martensite phase was increasingly growth related to the increasing of the percentage of cold working value i.e. 8.3%, 21.6%, 29.6% and 37.1%, respectively. The hardness of AISI 316L austenitic steel increased with the increasing of the cold working percentage. AISI 316L double phases which covers of austenite-martensite intermix phase structure with higher hardness mechanical properties has been successfully developed.
Microstructure Investigation of Mechanically Alloyed 316L-6Al-0.5Y2O3 Oxide Dispersion Strengthened Austenitic Steel Powder
Authors: Rivai Abu Khalid , Pratama Kandias Ahmad Muzaqi Nafsah , Sugeng Bambang 
Published: June 2022

Abstract
Development of accident-tolerant fuel cladding (ATFC) materials for LWRs (Light Water Reactors) is being intensively carried out in many research centers in the world as the lesson-learned from the Fukushima Daiichi nuclear reactor power plant accident. One of the advanced high temperature materials which is intensively developed is Oxide Dispersion Strengthened (ODS) steel. The strengthened mechanism is generated by homogeneous dispersion of nano-meter sized ceramic oxide particles in the matrix of the steel which is done by mechanical alloying technique so called mechanosynthesis. Synthesis of an austenitic ODS steel powder of 316L with additional element of 6 wt.% aluminum and dispersion of nano-particles of 0.5 wt.% yttrium oxide (yttria: Y2O3) has been done. The aim of the research is to achieve a better performance of 316L austenitic steel as the proven material for power plant at elevated temperature by modified to become ODS austenitic steel with additional of aluminum. Mechanosynthesis was done using High Energy ball Milling (HEM) for 30 hours with BPR (Ball to Powder Ratio) of 10:1. Afterward, the sample was characterized using Scanning Electron Microscope-Energy Dispersive Spectroscope (SEM-EDS) and X-ray Diffraction (XRD) to analyze the microstructure characteristics. The results showed that the alloying between 316L and aluminum powders was formed. Furthermore, crystal grains and the particles of 316L-6Al-0.5Y2O3 steel powder was much smaller than as received 316L austenitic steel and aluminium powders. The particles size and element composition was homogeneously distributed. The results showed that the parameters of mechanical alloying for development of 316L-6Al-0.5Y2O3 ODS austenitic steel powder have reached the optimum condition.
Nuclear Energy Contribution for Net Zero Emission and National Energy Mix 2060 in Indonesia
Authors: Permana Sidik , Trianti Nuri , Rahmansyah Adi 
Published: June 2022

Abstract
Indonesian Government has strongly announcement to the public which is in line with the Paris Agreement that has been signed and ratified with other 164 countries across the globe to fulfil their commitment to reduce the greenhouse gas effect. In 2060, the estimated total demand market of about 1800 TWh which is consist of about 300 TWh of electric demand in the present status which will be required additional new energy supply of about 1500 TWh. This new additional energy which is about five times larger than the present energy which leads to more energy resources and alternative energy supplies are required. Meanwhile, fossil fuels as main producer will be reduced and NRE will be utilized more, and it is increased gradually to maintain the energy demand as well as reducing the CO2 emission to the net zero target. In the present study, the contribution of each energy resources especially for the contribution of nuclear power plant (NPP) will be evaluated as a part of national energy mix. The evaluation of nuclear energy contribution is needed to estimate the electricity contribution level as well as the contribution to reduce the CO2 emission and it will compare to other energy resources as comparable analysis. Nuclear power plant requires the lowest install capacity of 211 GWe followed by waste power plant, geothermal and the highest installed capacity was solar PV power plant which requires 765 GWe to produce 1500 TWh electricity for a single 100% power plant. It can be seen the reduction GHG from more than 1300 Mton GHG release from coal can be reduce significantly by NRE of about more than 95% of reduction factor. Total electric contributions based on all energy mix, and it shows nuclear energy contributes 247 TWh (16,5 %) in total 1500 TWh.