bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of pressure strength of porous concrete on the addition of natural pahae zeolite as a partial replacement of cement
Authors: Fynnisa Z , Frida Erna , Susilawati  , Bukit Nurdin , Zebua Hatta Maulana 
Published: December 2023

AbstractInnovations regarding the manufacture of porous concrete continue to develop in Indonesia. One of the innovations in making concrete in this research is adding natural pahae zeolite originating from North Tapanuli as a partial replacement for cement in porous concrete. Porous concrete is made of 15x15x15 cm, which refers to the ACI 522R-10 method with a compressive strength test age of 7 days. Variations in the thigh natural pahae zeolite composition for reducing cement are 0%, 10%, and 20%. The compressive strength test of porous concrete showed increased values after adding thigh natural pahae zeolite. The highest increase in sample value was found with the addition of 10% of natural pahae zeolite, with a percentage increase in test results of 25.76%.
Application of Anisotropic Gold Nanomaterials in Plasmonic Sensors for Detection of Glyphosate
Authors: Iwantono  , Saputra Arif Darma , Taufik Hidayat HSB , Nurrahmawati Puji , Nafisah Suratun , Novaliza Mayta , Morsin Marlia , Awitdrus  , Agustino  
Published: December 2023

Abstract
The trend of using agrochemicals is increasing, especially glyphosate-based herbicides (GBH). The application of toxic chemicals as pest control in food crops carries a risk to human safety. Therefore, it is important to create a sensor for detection through Localized Surface Plasmon Resonance (LSPR) by utilizing anisotropic gold nanoparticles (AGN) to detect the presence of GBH contaminants in the form of malathion and temephos, with a detection level as low as three-part per million (ppm). AGN-based LSPR is successfully synthesized through an experimental technique using the Seed Mediated Growth Method (SMGM). The UV-Vis response showed two strong absorbances with a peak occurring around 500 to 600 nm, the peak within the transverse surface plasmon resonance range (t-SPR) corresponds to one aspect, while the peak within the spectral range extending from 700 nm to 900 nm corresponds to another aspect, namely Longitudinal Surface Plasmon Resonance (l-SPR). Anlysis of the FESEM photograph shows a structure consisting of two particles with different shapes, pentagonal pyramids and a bone shape. Pentagonal pyramids joined with a surface density of 64.43 ± 1,53 % and bone shape of 32,46 ± 1.53 %. This characterization shows strong and distinctive optical resonance in the near-infrared visible light spectrum, which is very suitable for LSPR sensors. It is necessary to fabricate an LSPR sensor device capable of detecting the presence of GBH by testing sensitivity, stability and repeatability. The sensitivity test results were evaluated by varying the synthesis time and concentration of contaminants in the AGN growth solution. It confirmed that the AGN-based LSPR sensor has a promising potential for GBH residue detection.
Design, simulation, and optimization of portable atmospheric water generator using vapor compression refrigeration system
Authors: Ayodha Ajiwiguna Tri , Kirom M R , Suprayogi  
Published: December 2023

Abstract
In this study, the conceptual design and optimization of a portable Atmospheric Water Generator that uses a vapor compression refrigeration system is investigated. The cooling system is needed to decrease the temperature of the ambient air to below its dewpoint. The cooling capacity of the vapor compression refrigeration system was 0.3 kW. The airflow velocity was then varied from 1.5 m/s to 5 m/s with an increment of 0.5 m/s. The diameter of the opening input feed air is 5.7 cm. The ambient air was assumed at 30 °C and 80% of relative humidity as the feed for the system. The results show that the maximum water production was 0.285 L/h which was produced by the air velocity at 2.5 m/s
Classification of Normal and Abnormal Heart Sounds Using Hjorth Features and LSTM – RNN Algorithm
Authors: Rizal A , Fauzi H , Wulandari D R , Zamhari D K 
Published: December 2023

Abstract
The stethoscope is a commonly used medical device for diagnosing a patient’s condition by listening to their heartbeat. This diagnostic technique is known as auscultation, where each heart sound heard through the stethoscope has a distinct pattern that depends on the person’s heart condition. Researchers have developed computational methods that automatically analyze heart sounds to overcome the subjective nature of auscultation. In this study, we utilized the Hjorth method for feature extraction and the Long Short-Term RNN algorithm for classifying the normal and abnormal heart sounds. With 100 epochs, two layers of LSTM-RNN, and one layer of Dense, the classification accuracy for distinguishing normal and abnormal sounds reached 71.95%. This research aims to contribute to the development of an accurate system for detecting normal and abnormal heart sounds.
Electrically activated zeolite for reducing seawater salinity
Authors: Wibowo Edy , Aditya Rahman , Ulya Naily , Rokhmat Mamat , Marwoto Putut , Sutisna  
Published: December 2023

Abstract
We have electrically activated natural zeolite (Clinoptilolite) to enhance the reduction ability of zeolite for seawater desalination. Activation was carried out using a voltage source of 8 V and 12 V for 0, 5, 10, 15, and 20 minutes. A salinometer is used to measure changes in seawater salinity after being treated with electrically activated zeolite. The salinity reduction value is expressed in percent reduction (η), which is measured every hour for 24 hours. Zeolite activated at a voltage of 8 V for 15 minutes was able to reduce seawater salinity by up to 5.7%. Zeolite activated at 12 V for 10 minutes was able to reduce salinity by up to 7.2%. Both values are higher compared to zeolite, which was thermally activated at 225 °C for 3 hours (4.8%). We have succeeded in increasing the adsorptivity of natural zeolite through a much shorter activation process with higher reduction efficiency compared to using thermal treatment, which takes up to 3 hours. Activation of zeolite using electric current can be a preferential option because it is carried out in an uncomplicated process in a brief time and does not involve the use of chemicals that have the potential to damage the environment.
Metaverse-based Water Level Simulator for the Festo MPS PA Workstation
Authors: Putawa R A , Wardana A N I , Tenggara A P 
Published: December 2023

Abstract
The compact workstation developed by Festo represents a bench-scale model for facilitating industrial process simulations in the laboratory and enabling students to study common control systems used in the industry directly. The latest development of the virtual Festo modular production system (MPS) process automation (PA) workstation has yet to be able to provide open access. In the virtual world, it needs interaction between the user, which still needs to be accommodated. This research attempts to develop a metaverse-based simulator of the Festo MPS PA workstation using the Roblox platform. This research focuses on designing a level control system, considering aspects such as the 3D model, control interface design, the implementation of system equations and controller algorithms, and the system’s response. The findings reveal Roblox’s potential in developing a virtual educational ecosystem for engineering, demonstrated by the design of an open-loop system with an average error of 11.4% compared to a real system. In the case of a closed-loop system with interactive PID control, the system response exhibits an average error of 8.03%.
Investigation of Performance Estimation Methods Validity of Thermoelectric Module
Authors: Ajiwiguna Tri Ayodha , Azizah A N , Suhendi A 
Published: December 2023

Abstract
The thermoelectric cooling system is now widely used in small-capacity applications. This system is designed to remove the heat by using a thermoelectric module thus the selected object can be maintained at the required range of temperature. The performance of the thermoelectric module system can be estimated by using the information from the technical datasheet issued by the manufacturer. Two commonly used methods for estimating the cooling capacity of the system are performance curve and energy balance. This study aims to investigate the accuracy of those two methods compared with the experimental results. The experiment was performed by maintaining the hot side temperature at 50 °C. To estimate the cooling capacity, the heat conduction on the stainless-steel block was calculated. The results showed the estimated cooling capacity of the thermoelectric system was up to 48% and 10.1% higher than the experimental result by using energy balance and performance curve methods, respectively. It implied that the performance curve method is more accurate than the energy balance method.
Design of mechanical digitalization automatic water level recorder for river water level monitoring
Authors: Soehartanto T , Radhy A , Alwi A M I 
Published: December 2023

Abstract
The Welang River Pasuruan has an Automatic Water Level Recorder (AWLR) tool that measures water levels at that location. This tool operates using mechanical movement to rotate the roller on the AWLR, causing the float to move up and down. This movement results in ink marks on the water level validator paper. The recorded water level data is then processed into an Excel chart. This study aims to digitize the AWLR tool so that the monitoring and calculation of the water level is more precise and can be monitored in online. The water level detector will work in real time using a rotary encoder sensor and data will be sent to database and monitor water level monitoring through a series of data processing which later the data will be sent via MiFi. The method of testing the 2-component connecting system is the accuracy of reading the water level and the accuracy of sending data. The results will be displayed every 1 second on the monitoring dashboard and a standard deviation of 0.0002792 and an error of 0.43% is obtained which indicates the accuracy of the reading is quite accurate and real time.
Automation System Architecture of pH Neutralization Process in Batik Wastewater Treatment Plant
Authors: Nazuwatussya’diyah  , Ekawati E , Pradipta J , Yulia E 
Published: December 2023

Abstract
Batik production in home industries needs support wastewater treatment in a limited space. Therefore, a modular-type, lab-scale wastewater treatment plant (WWTP) with a capacity of 87.75 liters and a dimension of 1.5 m × 0.75 m × 1 m has been constructed. The WWTP combines three significant processes: equalization, neutralization, and adsorption. This study focuses on the monitoring systems for the pH neutralization process. The system uses four microprocessors in a Master/Slave architecture and the I2C protocols for data communication between processors. The measuring instruments include pH, temperature, turbidity, and flow rate sensors. The actuators consist of submersible and peristaltic pumps. The operating range of pH, temperature, turbidity, and flow rate sensors are 0–14, 25–81.44℃, 0–3000 NTU, and 6.49–20.84 ml/s respectively. The pumps work in Pulse Width Modulation (PWM) mode with an operating range of 125–225 PWM. All sensors and actuators operate linearly within the operating range with a correlation coefficient of 0.97–1.
Development and Economic Analysis of Bioethanol Production from Palm (Arenga Pinatta) Biomass with Ionic Liquid Pretreatment Using SuperPro Designer Software
Authors: Maulidin I , Utami A R I , Sugiwati S , Darus L , Mel M , Maryana R 
Published: December 2023

Abstract
Bioethanol has many functions both as a chemical, food and as a source of energy. The development of bioethanol production is currently leading to the residue of the main product. So that in this study the biomass of arena or Arenga Pinatta was used with a large availability of waste. Therefore, a performance and economic analysis was carried out in the production of bioethanol from palm biomass with ionic liquid (IL) using SuperPro Designer (SPD) Software. As a preparatory stage, the process of testing the characteristics of the biomass is carried out to obtain the most optimal composition of palm sugar in bioethanol production. After simulating the conditions according to the experimental process on the most optimal palm biomass composition, it was found that the most optimal Ionic Liquid (IL) and biomass ratio was at 0.5 g/g with the ethanol concentration obtained at 90.6 g/L at 13 hours which corresponds to theoretical yield of 96% conversion of biomass to ethanol. Meanwhile, the production of ethanol in a factory for energy can minimize the price of ethanol by 30% from the initial price. Thus, with the abundant availability of biomass, bioethanol production with aren biomass has the potential to be developed in Indonesia
Design of Automation and Monitoring Systems for Filling Mineral Water Tanks Based on Android Applications
Authors: Putu Eka Widya Pratama I , Lailatul Mardiyah Yusvita 
Published: December 2023

Abstract
The PURE “ARH” refillable drinking water filling station located on Arief Rahman Hakim Street, Klampis Ngasem, is still not very practical and efficient. This is because the machine is still manual, operated by pressing a manual button to switch it on and off, and requires visual observation until the water container is filled. As a result, this creates uncertainty in the volume of water being filled. Therefore, in this research, an automated prototype and monitoring system for filling mineral water tanks based on an Android application were developed. The use of an HCSR04 ultrasonic sensor for mineral water tank detection at approximately 20 cm and an FS400A water flow sensor to determine the volume of water filled is employed. Subsequently, the results of mineral water tank’s water filling can be monitored, displaying the number of fillings and the volume of water filled, which are then sent to the Android application. Three mineral water tank sizes are used as samples: 5 liters, 15 liters, and 19 liters. The filling process allows configuration of the filling volume through the Android application, allowing refillable drinking water station owners to set their desired set points based on the mineral water tank’s capacity. The validation results of the FS400A G1 flow sensor shows an average error of 1.35%, resulting in an accuracy level of 98.65%, while the HC-SR04 ultrasonic sensor has an average error of 1.31% with an accuracy level of 98.69%. As for the testing of the filling mineral water tanks control system using the on-off control method, in this research, it has been successfully achieved with an error rate of 0.9% for a 5-liter set point, 1.3% for a 15-liter set point, and 2.4% for a 19-liter set point. From these results, it can be concluded that the water-filling control system operates effectively, as the actuator functions properly with a logic state of one (1), and once the set point is reached, the actuator turns off with a logic state of null (0).
Deep learning and acoustic approach for mechanical failure detection in industrial machinery
Authors: Qurthobi Ahmad , Maskeliūnas Rytis 
Published: December 2023

Abstract
Research into acoustic signal-based failure detection has developed into a subject that has attracted the attention of many researchers in recent years. Acoustic signal data collection can be performed without having to interrupt or stop the operation of the machine to be inspected. Therefore, it is very beneficial for the development of nondestructive testing and predictive maintenance. In this study, a collection of pump sound recordings that are part of the Malfunctioning Industrial Machine Investigation and Inspection dataset, known as the MIMII dataset, is used as test material. Several deep learning algorithms such as long short-term memory (LSTM), gate recurrent unit (GRU), autoencoder, and convolutional neural network (CNN) were involved and compared to determine their ability to detect failures. Based on the training results with 300 epochs and a learning rate of 10−6 it was found that CNN produced the classification with the highest accuracy compared to the other algorithms. In addition, the CNN algorithm is also capable of performing classification amidst the problem of imbalance in the amount of data.
Analysis of Pattern Recognition of Disorders in Children Using Artificial Neural Network (ANN) and Decision Tree Methods: A Case Study of Disorders in Children with Disabilities
Authors: Darmawan D , Rosdiana E , Andiani L , Muchtar F U W , Anggraeni D A , Ginting W , Maulana B N 
Published: December 2023

Abstract
In this era of globalization, technological developments in the field of digital information have greatly affected services in the health sector in healing and meeting public satisfaction. Digital technology-based services are needed by children with disabilities so that they can be given superior and effective treatment. Digital technology services are used as a clustering and pattern recognition system using Artificial Neural Network (ANN) and decision tree. The data collection process is done by taking a video of a child walking on a track in the form of manila cardboard whose feet have been colored with food coloring so that the footprints can be seen clearly. After that, Artificial Neural Network (ANN) and decision tree have two stages, namely the training stage and the testing stage. The training stage is carried out using 20 respondent data from children who walk. The testing stage is carried out using three new data that are different from the training stage. From these two methods, a high accuracy rate of 99.91% is obtained for ANN and close to 100% for decision trees.
The inconsistency of land use along the 10 m river buffer of East Kalibaru, Jakarta
Authors: Prayoga G , Siahaan L , Firmansyah F S , Mufawwaz T A , Liyantono  , Supalal Y A , Rahmawati  , Samputra N R A R 
Published: December 2023

Abstract
The East Kalibaru River extends from Depok/South Jakarta to northern Jakarta. Visually, the riverbank is crowded with settlements, even though the Ministerial Regulation of Public Works and Housing Number 28 Years 2015 has regulated the River Boundary Line, where rivers must have a 10 m wide buffer zone. This study aims to reveal the inconsistency of land use along the 10 m river buffer of East Kalibaru using a quantitative and qualitative descriptive approach using spatial data, river hydrology, and river water quality status for the analysis process. The river was categorized into three segments (upstream, midstream, and downstream). Using ArcGIS, delineation was carried out along the 10 m river buffer of East Kalibaru and then overlaid with land use data, resulting in land use type suitability. Land use suitability was evaluated by calculating the percentage of land area based on compliance with the regulations. The inconsistency of land use along the 10 m river buffer of East Kalibaru amounted to 46.25% (26.21 ha). The most significant land use inconsistency occurred in the midstream segment (68.24% or 13.23 ha), whereas the best was found in the downstream segment (26.54% or 4.36 ha). Residential and office & trade land use types dominate the inconsistency of land use. Residential areas are mainly found in the midstream segment, with an area reaching 47.42% or 9.19 ha. The government should gradually be disciplined the 46.25% inconsistent area because the river buffers must have 100% suitable land use to optimize the function of the river boundary.
Comparative review of Smart City from an urban planning perspective in Johor Bahru City and Petaling Jaya City
Authors: Bakhtiar I S , Samsudin N A 
Published: December 2023

Abstract
Smart cities are of great importance globally, and Malaysia recognizes this importance. The Malaysian government has launched various initiatives to encourage the ‘Smart City’ such as the framework (Malaysia Smart City Framework), blueprints, action plans, and standard, the Malaysian Standard for Smart Cities. The outlines the definitions, key principles, and strategies for adopting smart cities in Malaysia’s development. This study aimed to contribute to the understanding of smart city development in Malaysia and provide valuable insights for policymakers, urban planners, and researchers in their efforts to create sustainable and efficient cities. The objective of this study is to compare the approaches and outcomes of smart city development between Johor Bahru City, Johor, and Petaling Jaya City, Selangor. This has analyzed and comprehended the trends in various features of smart city development of the cities. The study found that Johor Bahru City is making more efforts to develop as a smart city through effective governance and strategic planning for short-term and long-term goals same as Petaling Jaya City but focuses more on a one-stop center which promotes community togetherness with the governance. Nevertheless, at the regional level, Johor Bahru City has the Iskandar Malaysia Smart City Framework promoting Sustainable Smart City Vision, followed by the Johor Smart City Blueprint at the state level, and implemented via blueprints at the local authorities, which sets it apart from Petaling Jaya City. Both cities have well-planned smart city initiatives that integrate technology, energy, and the environment, including support for smart city components that suit their needs. Despite facing challenges, the city serves as a model for smart and sustainable development.
Autonomous Wheelchair for Indoor Navigation
Authors: Chandana H R , Deepak M , Padanad Megha Anil , Satish B A 
Published: December 2023

Abstract
Wheelchairs are a very beneficial tool for commuting used by physically challenged people. But not everyone can make the wheelchair move on their own and often depend on help for movement of the wheelchair, making them dependent on constant support for every movement. Even when the physically challenged individuals are indoors, they end up being the dependent. The idea being proposed in the paper is develop a wheelchair that can make the movement of the wheelchair either automatic with inbuilt indoor navigation for easy navigation along with voice-based commands and joystick control for easy control. The wheelchair proved to be extremely beneficial for the physically challenged, at a relatively low cost.
Predictive analysis of Low power DC loads in Residential Buildings
Authors: Satish BA , Usha P 
Published: December 2023

Abstract
There has been a constant rise in use of loads powered from direct current (DC) among the residential loads. In the traditional Alternating Current (AC) grid voltage undergoes conversion multiple times before it reaches the loads requiring DC, which leads to substantial power loss in the converters. Implementation of a DC grid in the residential buildings can reduce the losses caused due to the conversions. The paper presents a prediction model for domestic low power DC loads which can be powered from a battery. The data of usage of the load as well as the data of the parameters on which the load usage is dependent on was collected over a period of a year. This data was fed to a Random forest-based machine learning algorithm to predict the usage of the loads in future. The state of charge (SOC) of the battery used to power the loads was compared with the load prediction to decide whether the load can be powered from the available power in the battery or not. This allowed the system to decide in real time on the source to be used to power the DC loads and providing the users a choice to change the load usage time in order to prevent power from being drawn from the AC grid.