bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Implementation Fuzzy Logic Control of Battery Discharging on Wind Turbine Power System based Cyber Physics System
Authors: Asy’ari M K , Dudayef A H , Musyafa’ A , Mahardika A K 
Published: February 2025

Abstract
Electric power plays a very important role in people’s lives and in the development of various sectors of the economy. Modern economies are very dependent on electrical energy as the main driving force for activities. This has led to an increase in the number and capacity of power plants. Solar power is a new renewable energy generator that is developed to increase the capacity of electricity generation in Indonesia. The instability of solar irradiance means that the resulting solar power generation must be stored in batteries before being transferred to the load. There is an inverter in the battery discharging system which functions to change the amount of DC to AC. Changes in battery capacity due to the use of loads result in an unstable inverter output voltage, so a control system is required. The battery discharging system also needs to be controlled to maintain battery performance. This study aims to design and implement fuzzy logic control (FLC) for controlling the inverter output voltage and a cyber physics system (CPS) based battery discharging system. Input FLC is in the form of error and delta error and the output is in the form of pulse width modulation (PWM). The control of battery discharging uses two batteries which can work automatically and manually via the CPS connected command. The response of the inverter output voltage control system has a rise time of 0.38 minutes, a maximum overshoot of 4.54 percent, and a steady-state error value of 0.1817 percent. Battery discharging control can work properly according to the built control mechanism. The uncertainty of U

A1 for the inverter output voltage is 0.434, the output current is 0.002, and the output power is 0.408 Watt.
Advanced Automated Consolidometer for Enhanced Soil Consolidation Testing
Authors: Suli Adinda Sabrina , ’Abbas Muhammad Fadhl , Nawir Hasbullah , Mahayana Dimitri 
Published: February 2025

Abstract
Geotechnical analysis of clay soils traditionally relies on incremental load consolidation tests to determine key parameters for estimating soil settlement, which often require extensive testing times of up to 288 hours. This study presents an advanced automated consolidometer system aimed at enhancing both the accuracy and efficiency of soil consolidation testing. The system integrates microcontroller technology and sensors for real-time measurements of axial stress, displacement, and pore water pressure. Key components include a load cell for axial pressure measurement, a dial indicator for monitoring displacement, and a pressure transmitter for pore water pressure assessment, all managed by a stepper motor controlled through an Arduino microcontroller. Data acquisition and processing are facilitated using LabVIEW, enabling seamless and efficient data management. The system utilizes On-Off (Bang-Bang) control logic for precise load application during soil consolidation tests. This straightforward control strategy ensures consistent performance by switching the motor on and off as needed, maintaining loads within specified thresholds. Additionally, Linear Quadratic Regulator (LQR) analysis is employed to comprehensively evaluate the system’s stability, transient response, and control dynamics, offering a theoretical framework for optimal control performance. The modified CRS (Constant Rate of Strain) method integrated into the system reduces testing time significantly to just 8.5 hours, achieving a 97% reduction compared to the traditional incremental load method, while maintaining high accuracy in test results. By leveraging both practical and analytical control strategies, the automated consolidometer achieves remarkable efficiency and precision, making it highly applicable for modern geotechnical engineering needs.
Advancing bio-sensing technology: developing high-performance PVA-HEC hydrogels for innovative applications
Authors: Entifar Nisa A E , Entifar Siti A N , Kim Yong H 
Published: February 2025

Abstract
Hydrogel-based strain sensors are attracting significant attention for their exceptional mechanical properties and sensing capabilities, particularly in liquid environments. In this study, the synergistic combination of polyvinyl alcohol (PVA) and hydroxyethyl cellulose (HEC) produced hydrogels with remarkable mechanical performance—featuring a UTS (Ultimate Tensile Strength) of 0.201 MPa, 316.41% elongation at break, and a toughness of 0.26157 MJ/m3—making them ideal for next-generation wearable sensors. The PVA/HEC hydrogel also exhibited excellent electrical performance, with a relative resistance increase of up to 3.2 times the initial resistance at 200% strain, a hysteresis degree of 0.599, and impressive durability across 500 cycles. When applied to body joints, it accurately captured resistance signals during movement, highlighting its vast potential for wearable technology. This breakthrough hydrogel composition demonstrates extraordinary mechanical resilience and sensing precision, positioning it as a transformative material for bio-sensing applications.
Optimization of the Processing Parameters On The Tensile Strength of Polyvinyl Alcohol/Cellulose Nanocrystals Biocomposites for Potential Food Packaging Application.
Authors: Senusi NAM , Abdullah WNW , Shukri NM , Razab MKAA , Ismardi A , Abdullah NH 
Published: February 2025

Abstract
The non-biodegradable characteristic of plastic films produced from petroleum contaminates the environment through multiple pathways, encompassing food, beverages, soil, water, and even the atmosphere. Therefore, numerous nations actively advocate substituting synthetic polymers derived from fossil fuels with bio-based and environmentally friendly materials through the Sustainable Development Goals (SDG) program. This study implemented a three-factor, three-level Box Behnken design to study the concurrent effects of three main variables, namely CNC loading (%), mixing temperature (ºC) and mixing time (min) on the tensile strength of Polyvinyl Alcohol/Cellulose Nanocrystals Biocomposites using Response Surface Methodology (RSM). The determined solutions of PVA and CNC were mixed and poured into a petri dish using the solvent casting method. The prepared samples were then tested using a uniaxial tensile test machine. Analysis of variance (ANOVA) was performed to explore potential interactive and quadratic effects between those three main variables. It was found that CNC loading was the most influential parameter for tensile strength, which attained 0.29 F-value, followed by mixing time with 0.086 F-value and mixing temperature, which scored 0.04996 F-value. Experimental results showed that the optimum tensile strength was obtained when the CNC loading, mixing temperature and mixing time were 4 wt.%, 55 °C and 45 min, respectively, where the tensile strength was 10.7 MPa. Using CNC as a natural filler in a PVA matrix may create a biodegradable, eco-friendly composite with good mechanical properties.
Design and Implementation of a Fuzzy Logic Controlled Water Heater for Laboratory-Scale Indoor Swimming Pools
Authors: Pratama E F , Utami Amaliyah R I , Iskandar R F , Qurthobi A , Suwandi  
Published: February 2025

Abstract
In recent times, the indoor swimming pool has emerged as a source of physical well-being and recreational enjoyment. Various endeavours have been undertaken to enhance the comfort of indoor swimming pools, including measures to decrease the evaporation of heated water. As a consequence, the humidity level in the indoor swimming pool rises. An indoor swimming pool must meet specific criteria to provide optimal comfort, including maintaining appropriate water temperature, air space, and relative humidity levels. Thus, this study created a laboratory-scale indoor swimming pool measuring 1 meter x 0.5 meters x 0.3 meters. The pool had a water heater controlled by a fuzzy logic technique control system. The water heater was installed within a water tank of 0.25 meters in length, 0.18 meters in width, and 0.3 meters in height. This water tank functions as a reservoir of heated water to be transported to an indoor swimming pool on a laboratory scale. The experimental findings demonstrate that implementing the fuzzy technique effectively regulates the water temperature at a constant level of 35 degrees Celsius. Additionally, the average duration required for heating the water to reach this temperature is 11.08 minutes, while the time taken to empty the water tank is 4.11 minutes. The duration needed to heat a laboratory-scale indoor swimming pool is precisely 5.14 minutes. Moreover, the findings of this study indicate that the application of these results is particularly relevant to indoor swimming pools, specifically those located in the Tokong Nanas Building at Telkom University.
Utilization of Luminosity Sensors to Measure Potential Energy Produced by Solar Panels
Authors: Suhendi Asep , Rafly Muhammad , Riyanto Daud , Tika Fadilla , Saputra Casmika 
Published: February 2025

Abstract
In this research, the potential energy produced by solar panels has been measured through the use of luminosity sensors. A system has been created to measure the potential of solar energy and electrical energy produced from a solar panel-based power generation system. The system consists of a microcontroller, luminosity sensor, current sensor and voltage sensor which is used in a solar power generation system of 800 WP. The measurement of potential energy from the light source is then compared with the electrical energy produced within the specified measurement time interval. From the results of measuring the luminosity of sunlight, it was found that the peak luminosity ranged between 132.556-149.485 Lux which is equivalent to 1.201-1.354 W/m2 with the highest average intensity of sunlight and solar radiation during the measurements being 140.003 Lux and 1.268 W/m2. From the measurement data The resulting electrical energy obtained the highest energy value of 2,2-4,0 kWh with an average of 3,1 kWh. This shows that the potential energy produced by a solar panel-based system can be obtained from luminosity measurements.
Predictive Modelling of Ethanol Production from Biomass Pretreated with Ionic Liquids Using SuperPro Designer
Authors: Utami Amaliyah R I , Sugiwati S , Maryana R , Darus L , Mel M , Maulidin I , Erawan F , Yupaldi N , Zhafran A L 
Published: February 2025

Abstract
The research focuses on optimizing ethanol production from oil palm empty fruit bunches (OPEFB) by utilizing various ionic liquids (ILs) for pretreatment. These ILs include 1-butyl imidazole, 1-butyl 3-methylimidazolium chloride, and choline acetate (ChOAc) as biocompatible IL. The study employs the SuperPro Designer (SPD) software to simulate the ethanol biorefinery process, incorporating pretreatment, enzyme-mediated saccharification, and fermentation stages. The SPD model underwent validation against published data regarding the cholinium ionic liquid-facilitated processing of OPEFB biomass, setting an IL/biomass ratio of 1.5 (g/g). Investigations into the ionic liquid-facilitated pretreatment of OPEFB plant material suggest that an IL/biomass ratio of 0.5 is optimal for achieving the highest ethanol yield. After 72 hours of high-loading enzymatic saccharification, the amounts of glucose that were found were 98 g/L for 1-butyl imidazole, 130 g/L for 1-butyl 3-methylimidazolium chloride, and 138 g/L for OPEFB that had been treated with ChOAc. Similarly, xylose concentrations were consistent across treatments, with 33 g/L for the first two ILs and 32 g/L for ChOAc. After co-fermentation, ethanol concentrations of 70 g/L for 1-butyl imidazole IL, 85 g/L for 1-butyl 3-methylimidazolium chloride IL, and 92 g/L for ChOAc IL were found after 24 hours. These amounts equal 96%, 97%, and 96% of the theoretical sugar-based ethanol yield. The utilization of SPD simulation in ethanol production from biomass like OPEFB demonstrates the potential to reduce production costs and satisfies the criteria for future research demands.
Interfacial damage mechanical characterization and evolution model of EB-PVD thermal barrier coatings based on 3D-DIC technology
Authors: Lv Z Z , Hu D Y , Liu H Y , Jing F L , Zhao Y , Wang R Q 
Published: February 2025

Abstract
Thermal barrier coatings (TBCs), owing to their excellent properties, are widely used in aero-engines to enhance efficiency and extend lifespan. In this paper, a novel uniaxial compression-based mechanical characterization model for TBCs interface damage was proposed, which is applicable to a range of buckling modes. Furthermore, with the aid of threedimensional digital image correlation (3D-DIC) technology, the exfoliation criterion of TBCs in room temperature compression tests was determined, and damage quantification was achieved in conjunction with the damage characterization model. The results indicate that total damage consists of oxidative, cyclic, and sintering damages, and respective damage evolution models were established. Finally, the total interface damage evolution model of TBCs was constructed based on the principle of nonlinear accumulation of damage The results demonstrate that the error between the measured and calculated damage values is less than ±10%, indicating high accuracy.
Numerical simulation of the internal flow in the mixing chamber of a 150MW combined cycle thermal power plant
Authors: Gonzalez K , Briones P , Ronceros J , Zapata G , Raymundo C 
Published: February 2025

Abstract
This study examines the internal flow dynamics within the mixing chamber of a combined cycle thermoelectric plant (steam-gas), with a particular focus on the distribution of key parameters such as temperature, pressure, and density. Both the continuity and energy equations were subjected to analytical and numerical simulations for validation purposes. In the numerical simulation, a three-dimensional tetrahedral mesh was constructed using Ansys Meshing software, and the resulting data was processed using Ansys Fluent. The turbulence model employed was the k-epsilon model, and the energy equation was also utilized. The results demonstrated the effective transfer of energy and the uniform distribution of temperature and pressure throughout the mixing chamber. This study makes a significant contribution to the field of thermal engineering and provides a robust foundation for future research in the optimization of combined cycle systems. Furthermore, critical areas for design improvement were identified, emphasizing the importance of precise control of operating parameters. The results of the numerical simulations were validated by comparisons with experimental data and previous theoretical studies, thus providing a comprehensive understanding of the internal flow dynamics and their impact on the operating efficiency of the thermal power plant.
Design and Fabrication of Mechanized Pressing Machine For Pandan Leaves
Authors: Atienza A H , Frias L J , Palad M S 
Published: February 2025

Abstract
The contemporary market for crafts and décor is in continual flux, particularly within the artisanal, handcrafted goods domain. Skilled artisans within our local community meticulously fashion most of these products. Given its environmentally conscious and sustainable nature, this industry holds considerable potential for expansion and heightened visibility. In the Philippines, pandan leaves are a prevalent material within this sector. However, the processing of pandan leaves is often arduous and time intensive. The primary objective of this study is to enhance the thickness reduction of the produced pandan leaves. In response, the researchers have developed a prototype for a mechanized pandan leaf-pressing machine utilizing roller design. The thickness measurements before and after the process, along with the pressing time for the machine and iluhan were recorded. The time efficiency and relative draft were calculated. Following rigorous statistical analysis using z test, the gathered data demonstrate a significant difference in the relative draft and leaf thickness obtained from the machine compared to the traditional method.
The ATLASPix3.1 CMOS pixel sensor testbeam performance and serial powering characterisation
Authors: Ustuner F. , Zanzottera R. , Andreazza A. , Dong R. , Fox H. , Gao Y. , Gheewalla P. , Masic B. , Meng L. , Peric I. , Sabatini F. 
Published: February 2025

Abstract
High-voltage CMOS (HV-CMOS) pixel technology is being considered for future Higgs factory experiments. The ATLASPix3.1 chip, with a pitch of 50 μm × 150 μm, fabricated using TSI 180 nm HV-CMOS technology, is a full reticle-size monolithic HV-CMOS sensor with shunt-low dropout (LDO) regulators that allow serial powering for multiple sensors. A beam test was conducted at DESY using 3–6 GeV electron beams, with chips operated in triggerless readout mode with zero suppression, demonstrating multi-chip capability. This was further evaluated with hadron beams, both with and without the built-in power regulators. This study presents the electrical characterisations of the shunt-LDO regulators for serial powering and test beam results of ATLASPix3.1 sensors.
Evaluation of efficiency, radiation hardness, and timing performance of the Analogue Pixel Test Structure for ALICE ITS3
Authors: Liu J. ,   the ALICE collaboration
Published: February 2025

Abstract
A replacement of the three innermost layers of the new ALICE Inner Tracking System (ITS2), referred to as ITS3, is planned for the LHC Long Shutdown 3 (2026–2028) to further enhance tracking precision and efficiency. The ITS3 is designed as a cylindrically bent silicon vertex detector, utilizing stitched, wafer-scale sensors developed with the Tower Partners Semiconductor Co. 65 nm technology. The feasibility of this technology for ITS3 was evaluated using prototypes fabricated in the initial multi-reticle-layer run. This contribution presents the latest sensor characterization results from the analogue pixel test structures, focusing on detection efficiency, timing response, and radiation hardness.
Narrative Research in Climate Change Adaptation - Learning from Communities Resilience in Informal Area
Authors: Ilmi W Z , Sunarharum T M , Santoso H , Prihanto Y 
Published: February 2025

Abstract
Many cities in Indonesia are facing problems caused by climate change, which affect their population, society, and infrastructure. These problems range from increased exposure to coastal flooding to discomfort caused by urban heat, depending on geographical conditions. Research on best practices used by communities to withstand the impacts of climate change through various adaptation and mitigation efforts can be an example of good initiatives and holistic knowledge. This study employs an extractive social research methodology through in-depth interviews and observations in community and informal settlement environments on the coast of Bandar Lampung city, which aims to understand the socio-ecological system and design better and more participatory local adaptation policies can be useful. This journal is written using a narrative approach as the basis for argumentation and reflection. The results conclude that the relationship between informal communities and the natural environment is disrupted by activities such as mangrove destruction and land reclamation; as a result, these communities are feeling the impacts of climate change. But They managed to survive through simple adaptive measures, including purchasing daily water, raising the floors of buildings, gathering with their families, and accepting the assistance and social programs available in their midst. These communities are able to survive in current conditions through a variety of diverse policy choices and interventions in their areas. the adaptation and mitigation they carry out is closely related to the relationship between humans and the economy, namely their livelihood as fishermen, but the relationship between humans and ecology, they intervene in the environment thereby destroying land, water and ocean ecosystems, which also makes them more vulnerable.
Smart Silvofishery to Mitigate Climate Change Impacts on Food Security
Authors: Hardi Esti Handayani , Sardjono Mustofa Agung , Agriandini Maulina 
Published: February 2025

Abstract
The impact of climate change makes access to safe food increasingly important, including protein from fish and shrimp. Declining water quality, uncertain environmental conditions, and pollution often impede the development of shrimp cultivation in Indonesia, leading to product rejection in export markets. In Indonesia, traditional farming has actually been conducted by a large number of people, although it is unpopular due to its low production (200 kg/ha). The smart Silvofishery method presents a novel approach to shrimp cultivation within mangrove ecosystems. It optimizes pond preparation to increase productivity, utilizing plant extracts as prebiotics, immunostimulants, and natural pesticides. This system encourages environmentally friendly management, utilizing the mangrove area for filtration, sedimentation, cyclic activity, and as a biodiversity area for natural prawns, fish larvae, and eggs, which are then processed slowly. Not only does the harvest reach 400 kg/ha, but it also has higher concentrations of the amino acids AA, DHA, omega 3, omega 6, and omega 9. The advantages of smart silvofishery include sustainable management and optimal use of natural resources with low operational costs. There are at least two advantages to implementing smart silvofishery, both on and off the farm. However, disseminating this innovative technology requires significant political and financial support, particularly from the regulatory agent.
Planting Exceptional Tropical Tree Species to Enhance Long-Term Carbon Storage in Assisted Secondary Succession: Practical approach to develop Legal Norm
Authors: Kristianto PH 
Published: February 2025

Abstract
This paper conducts a legal analysis of the efforts to develop legal norms based on existing case studies applicable to a reforestation initiative in East Kalimantan, which involves planting exceptional tropical tree species to enhance long-term carbon storage in assisted secondary succession. The core of this analysis revolves around the legal frameworks pertinent to ecosystem restoration and climate change mitigation, particularly through carbon enhancement in degraded landscapes. This involves scrutinizing Indonesia’s environmental and forestry laws to identify opportunities for legal advancements that support the development of Ibu Kota Nusantara as a model for sustainable urban development in Indonesia. The primary focus is on the Dipterocarpaceae family, a group of plants with significant carbon absorption capabilities, deemed suitable for this region. The cultivation of Dipterocarpaceae promises to bolster Indonesia’s carbon buffering capacity to enhance the socio-economic landscape of local communities. Furthermore, this paper will explore the role of local flora, such as Eusideroxylon zwageri and Polypodiophyta, in fostering a sustainable capital environment. Using a normative juridical methodology, supported by empirical data from various studies, this research aims to influence forestry policy in Indonesia broadly and, more specifically, the policy frameworks for the Nusantara Capital, steering towards sustainable development. By integrating lessons from successful environmental programs globally and applying a multicultural approach to industrial forest plantations, the Nusantara Capital can achieve significant ecological and socio-economic benefits.