bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predication of nano-silica modified porous asphalt under dynamic creep by using finite element analysis
Authors: Al-Aidaros A Z , Masri K A , Ramadhansyah P J , Yaacob H , Norhidayah A H , Mohd Warid M N 
Published: February 2021

Abstract
In areas with heavy rainfall, the conventional pavement may not be suitable due to low drainage capability. This will cause to a storm failure. To solve this, Porous asphalt (PA) is one of the innovative asphalts that can significantly overcome the issue of storm-water problem. The high air voids content characteristic of PA compares with conventional pavement in Malaysia is very suitable in managing the storm-water. However, PA suffers a few problems such as decrement of strength and tensile strength due to high air voids content which lead to permanent deformation. In order to enhance the performance of PA against the permanent deformation an additive material used to increase the strength of the PA called Nano-silica particles. Therefore, the purpose of this study is to evaluate the dynamic creep of Nano-silica modified PA by developing a finite element analysis (FEA) model. Moreover, this study the dynamic creep performance of porous asphalt with different proportion of Nano-silica particles 0%, 2% and 4% was predicted. A finite element model will be simulated by using ABAQUS 6.14 software for the PA sample in order to achieve the objectives of the study. From this study it was concluded that, the develop model was reliable use to predict the performance of PA in terms of dynamic creep and the utilizing of Nano-silica in PA mixture result changes in the rheological properties of the asphalt binder which lead to an enhancement of its performance against the permanent deformation.
The influence of nano kaolin clay as alternative binder on the penetration properties
Authors: Norhidayah A H , Ismail C R , Al-Saffar Z H , Ramadhansyah P J , Masri K A , Muzamir H , Wan Azahar W N A 
Published: February 2021

Abstract
In the last decade or so, nanomaterials have emerged as the potential solution to greatly enhance the properties of binder with the purpose of improving the performance of asphalt mixture. Due to that, this study evaluates the influence of nano kaolin clay as alternative binder on the penetration properties. The penetration test, penetration index and penetration-viscosity number were conducted in modifying the binder with the percentage of NKC are 0, 3, 5, 7 and 9%, accordingly. The test results showed that the penetration values of modified binder slightly decreased when compared to the controlled binder. On the other hand, the PI and PVN values significantly increase with the NKC content increased.
Strength and Chloride Penetration Performance of Concrete Using Coal Bottom Ash as Coarse and Fine Aggregate Replacement
Authors: Zaimi M N S , Ariffin N F , Syed Mohsin S M , Abdul Shukor Lim N H , Mat Yahaya F , Muthusamy K , Wan Ahmad S 
Published: February 2021

AbstractSince 1987, Malaysia had used coal as a product to generate electricity. One of the main or the largest power plant in Malaysia is Tanjung Bin power plant at kukup, Johor. As a coal-based power plant, tonnes of coal bottom ash had been burned every day and the waste is wasted without specific economic benefit. Other than that, the waste generated are dangerous as it involved in environmental risk such as landfill ash reservoir. Therefore, this paper presents one of the alternative ways to manage the coal waste by cooperative it into concrete. This research study focuses on strength and durability performance of the concrete containing coal bottom ash as a coarse and fine aggregates replacement. The tests conducted was workability on fresh concrete, compressive strength test and chloride penetration test in 5% sodium chloride. The results show that the concrete containing coal bottom ash has low workability compare with normal concrete without coal bottom ash. Compressive strength test with coal bottom ash resulted higher than normal concrete. In chloride solution, the concrete containing coal bottom ash replacement shows better performance compare to normal concrete. Thus, it can be concluded that by using coal bottom ash in concrete as fine and coarse aggregates replacement, the performance in term of strength and chloride resistance are better compare to normal concrete. On the other hand, by using it in concrete, the waste generated dump in landfill can be reduced.
The Influence of PelletRAP™ Rejuvenator on the Mechanical Properties of Reclaimed Asphalt Pavement
Authors: Al-Saffar Z H , Yaacob H , Mohd Satar M K I , Shah Rull N S , Jaya R P , Mohamed A , Hassan N A , Warid M N M 
Published: February 2021

Abstract
In the last decade, the use of reclaimed asphalt pavement (RAP) resulted from asphalt milling process has been widely increased for economic and environmental reasons. However, RAP mixtures have undesired characteristics, such as higher stiffness and low flexibility. In this case, the rejuvenators should be used for restoring the properties of RAP which were lost during service life. In the present research, the mechanical properties of 100% RAP incorporating various percentages of PelletRAP™ rejuvenator were evaluated via stability, flow, stiffness, indirect tensile strength (ITS), moisture damage and Cantabro loss measurements. The results showed that the rejuvenated mixtures containing 4% of PelletRAP™ exhibited better performance in terms of stability, cracking and moisture damage resistance, as well as durability, compared with virgin mixtures. Thus, it can be concluded that 100% RAP can be renovated and re-used in the pavement if it is mixed with an appropriate prescription of PelletRAP™. The proposed of incorporating PelletRAP™ with RAP is beneficial in the improvement of sustainability and cost-efficiency of the asphalt mixtures industry.
Effect of Environmental Exposure on the Cooling Rate of Asphalt Mixtures
Authors: Badruddin I , Abdul Hassan N , Mahmud M Z H , Ismail S , Putra Jaya R , Oleiwi Aletba S R , Hainin M R 
Published: February 2021

Abstract
Temperature is one of the major factors that affect the compactability and mechanical performance of asphalt pavement. Therefore, the cooling rate variability of asphalt due to various surrounding conditions and aggregate surface areas is crucial to achieving proper compaction. This study focused on the effect of environmental exposure on the cooling rate and available time for compaction of the asphalt mixtures (AC10 and AC14). Several factors, such as base and ambient temperatures, daytime and nighttime, solar flux, and wind speed, were considered in the evaluation of the cooling curve. A few loose samples were prepared and grouped as covered (with canvas) and uncovered during the monitoring process. The time and temperature of both samples were monitored during the day and night, starting after the mixing process and ending at 80 °C. Results reveal that the cooling rate of asphalt mixtures is undoubtedly affected by the surrounding factors. The use of canvas and coarse aggregate gradation could retain the heat and minimize the wind and solar flux effects, thus increasing the available time for compaction or lengthening the cooling time. In addition, the cooling rate tends to increase during nighttime compared with daytime exposure.
Implementation of clustering unsupervised learning using K-Means mapping techniques
Authors: Abbas Aries , Prayitno Pungkas , Butarbutar Florida , Nurkim N , Prumanto Denny , Dewadi Fathan Mubina , Hidayati Nur , Windarto Agus Perdana 
Published: February 2021

Abstract
The manufacturing sector is one of the major contributors to the Indonesian economy. Human work is still needed on the production floor in the manufacturing industry to ensure a smooth operation. This study explores the use of unregulated learning clustering techniques in data mining in the form of clusters of employees in the production industry. The data collection process is carried out through a survey conducted by the Central Statistical Agency (abbreviated as the BPS) with Url: https:/www.bps.go.id in Large Medium Industries and Micro & Small Industries. The statistics used include 24 industrial classifications, with the number of manufacturing employees in the 2017-2019 industry as a percentage. The unregulated technique of learning clustering is k-means. The Large Cluster (E1) and the Low Cluster are the two labels used (E2). The Davies Bouldin Index (DBI) parameter with a dbi value of 0,929 was used to evaluate the cluster (k=2). The findings showed five manufacturing sectors of the high cluster in 5 cluster and 19 manufacturing sectors of the small cluster in 0 cluster. For each cluster the centroid value is 1.67; 1.64; 1.592 (cluster 1/E1) and 0.348; 0.343; 0.3447 (cluster 0/E2), respectively. The research findings will inform the government to improve labour absorption, which will reduce the unemployment rate by substantial numbers in each manufacturing industry.
Concepts of e-learning performance on system use outcomes in Omani Universities
Authors: Tawafak Ragad M , Romli Awanis , Sideiri Abir Al , Malik Sohail Iqbal , Jabbar Jasiya 
Published: February 2021

Abstract
The higher education institutions and organizations continuously needs improvement and development of the e-learning model used through the learning process. These HEI required improving teacher-student communication through the e-learning model. This study investigates the influence of enhancing the collaborated factors of e-learning model use with teacher experience factor to enhance universities’ performance and the system used as outcome services available to all learners. This study aims to identify the concepts of e-learning model factors and the hypotheses links among them. The primary purpose is to develop an educated theoretical e-learning model from the use of Moodle as one of the e-learning systems. This model shows a significant effect and positively work in the suggested hypotheses and factors used through the combined work of official attending classes with an online way of communication. The problem here is the complexity of linking elements. Therefore, this paper overcomes this difficulty and speed up the complete e-learning process in a different manner. For this study, 21 constructed items of the educational survey given to Al-Buraimi College undergraduates in Oman. The finding reveals the positive acceptance of teacher experience factor as a cheerful effect moderator in any e-learning model use.
Data mining using filtering approaches and ensemble methods
Authors: Fabrianne Syifa Faradilla , Triayudi Agung , Sholihati Ira Diana 
Published: February 2021

Abstract
To develop a prediction paradigm, ensemble methods such as boosting based on the heuristic system can be used. Compared to using individual classifiers, the prediction results using ensemble learning techniques are usually more accurate. In this study, several ensemble techniques were discussed to obtain comprehensive knowledge about key methods. Among the various ensemble methods, a boosting mechanism has been implemented to predict student achievement. Because the ensemble method is considered an actual event in a prediction and classification, the boosting technique is used to develop an accurate predictive pedagogical model. The utilization of this boosting technique is based on the nature of each method proposed in educational data mining. By using the ensemble method and filtering approach, the predictions of student performance showed a substantial increase.
Electronic counseling applications using framework code igniter
Authors: Devianto Yudo , Munaldi Munaldi 
Published: February 2021

Abstract
This research includes students, the counseling teacher concerned, and student guardians. In addition to related campuses, the world can also be a reference for the same institution to use the results of this research, so that the scientific benefits of this research can be felt by many people which can have an impact on time savings, distance and reduce the use of paper to record student counseling. In this study, we will make an application that can be interpreted between counseling and counseling participants, where counseling participant data can be recorded correctly, and the data can be used to monitor the progress of the counseling participants themselves with counseling. The problems in this study are 1. The absence of applications that can help record the current counseling process, 2. Difficulties in finding data about counseling participants, who have done previous counseling, 3. The desire to reduce the use of printed materials. So the purpose of this research is to create applications that can process data and store counseling participant data that can be used with counseling, applications that will be made web-based, and applications made using the PHP programming language, with MySQL databases and web-based sites using the Code igniter framework, and we call this application E-Counseling.
Classification of critical thinking in mathematics using particle swarm optimization based neural network algorithms
Authors: Purnamasari Ade Irma , Anwar Saeful , Martanto  , Faqih Ahmad , Nuris Nisa Dienwati 
Published: February 2021

Abstract
Critical thinking in mathematics can be defined as the processes and abilities used to understand concepts, apply, synthesize and evaluate the information generated. Critical thinking in mathematics is a skill for higher order thinking. It is understood that logical thought plays a part in spiritual growth, social progress, behavioral growth, cognitive development and science progress. This study aims to classify critical thinking skills. The method used to determine the classification of critical thinking skills is to use the Neural Network algorithm. A method which has the potential to classify structured data is the neural network. In this study, a neural network algorithm model was developed. A technology that has the potential to identify structured data is the neural network. In this study, a neural network algorithm model was created. With this neural network model, it can be seen the classification of critical thinking skills. The amount of data used as data in this analysis was 150 in the form of school data and as many as 40 measures were measured in the form of math scores. On the basis of the research results, it was found that the neural network model based on Particle Swarm Optimization achieved an accuracy value of up to 93.33 percent with a 2 percent variance, tested using the k-cross-validation method.
Sentiment analysis of COVID-19 vaccine in Indonesia using Naïve Bayes Algorithm
Authors: Pristiyono  , Ritonga Mulkan , Ihsan Muhammad Ali Al , Anjar Agus , Rambe Fauziah Hanum 
Published: February 2021

Abstract
As of January 2021, with 2,066,175 deaths, 95,612,831 confirmed cases have been reported globally. Indonesia’s COVID-19 Task Force report shows that there are currently 27,203 deaths, with reported cases exceeding 951,651, among the highest in Asia. The President of the Republic of Indonesia created a national team to speed up the production of vaccines for COVID-19. It stipulates that the government will arrange the provision, delivery, and vaccination of COVID-19 vaccines. The vaccination scheme would then become the pros and cons of Indonesian society. This research assesses the opinion of the Indonesian people through a social network analysis of the COVID-19 vaccine in January 2021. We used sentiment analysis using Naïve Bayes Algorithm by crawling Twitter data with ‘Vaccine COVID-19’ as keywords. We perform the data crawling process manually using the access token received from the Twitter API using the Rapid miner tools to extract the requested information and data. Data crawling continued with the Drone Emprit Academic Streaming Public Twitter Tool because of limited manual crawling resulting in more than 6000 tweets related to selected keywords on January 15-22, 2021. The result of sentiment measurement with over 3.4 thousand negative tweets (56%), over 2.4 thousand positive tweets (39%), and the remaining 301 tweets (1%) was neutral during the period of the week.
Agile information-based framework for flood management
Authors: Saad Mohamad Firdaus Mat , Latif Aliza Abdul , Othman Marini 
Published: February 2021

Abstract
Flood management is another area of a complex environment where the managing process is extremely complicated. This is due to the uncontrollable aspects arise during the event including flood status, agency responsibilities, media coverage, and other unexpected activities. While the execution process taking place, the accuracy of the Standard Operation Procedure (SOP) implementation is worrying about the management. Researchers in the area of flood management have shared common worries concerning on execution of flood management plans which are (1) poor learning curve of matters pertaining to the handling of floods; (2) poor management of after-the-flood and (3) complexities of risk analysis and assessment related to the flood. Therefore, the objective of the study is to improve exiting SOP in terms of agility over its governance that needs to be revised for better planning and preparedness while dealing with flood disasters. Hence, an Agile Information-Based Framework for Flood Management was proposed as a solution to justify the concerns by using thematic analysis methodology from the data gathered via interviews, document studies, literature reviews and site visits.
Car Cabin Cooling System Using Solar Energy
Authors: Rifky  , Heriyani Oktarina 
Published: February 2021

Abstract
Recent Car cabin cooling system works while the car is running or the engine is started. When the car stops or the car park is turned off, the cooling system automatically does not work and the cabin space becomes hot. In principle, the cooling system works by absorbing heat from the cooling room, as the cooling system that uses solar energy. In this study, solar energy is used to be converted into electrical energy which is then used in the car cabin cooling system. This study aims to obtain the maximum heat absorption where the minimum temperature in the car cabin is obtained. This research was a combination of three systems, namely the solar cell system, the thermoelectric system, and the cooling system itself. Solar and thermoelectric cells were placed on top of the car’s cabin, which is a cool chamber. On the upper side of the inside of the cooling chamber, a heatsink was used to get as much heat absorption as possible. The heatsink was attached to the cold side of the thermoelectric, while the hot side of the thermoelectric was closed so that the temperature can be controlled. Solar cells that face direct sunlight throughout the day (measurement time from morning to evening) would convert solar energy into electrical energy. Through a thermoelectric cooling system that is supplied with electrical energy from solar cells, the cooling system underneath would absorb the surrounding heat where the temperature of the cooling room would decrease in turn. The results showed that the cooling room conditions were as follows, namely the coefficient of performance (CoP) obtained by the cold room was 0.042 and the lowest temperature that could be reached was 25.60 oC.
Degradation of the retroreflectivity and diffuse illumination of thermoplastic pavement markings: a case study in Thailand
Authors: Thanasupsin Kittichai , Sukniam Satis 
Published: February 2021

Abstract
Pavement marking is an essential task of road construction and maintenance. Pavement markings are beneficial because they provide information regarding the road alignment and road conditions ahead. To fully utilize their benefits, the retroreflectivity (RL30) and diffuse illumination (QD30) of pavement markings need to be above a minimum threshold. The degradation of RL30 and QD30 depends on several factors, such as the traffic exposure, age of the pavement marking, and weather. This research investigated the reflective efficiency of thermoplastics on an asphaltic concrete pavement marking with a glass bead rate of 359 to 553 grams per square meter. The reflective data were collected at the beginning of a period of eight months at two-week intervals. The factors that have a statistically significant effect on the pavement marking RL30 and QD30 include the traffic exposure and pavement marking position. The dirt coating on top of the marking is the most crucial factor that temporarily deteriorates the retroreflectivity, which can recover to some degree by rainfall.
Design and implementation of a solar integration in electric smart bench
Authors: Kango Riklan , Hadiyanto  , Pongtularan Ezra Hartarto 
Published: February 2021

Abstract
Energy problems that hit the world have implications for savings in all fields, including lighting public spaces. However, lighting conventional public areas is an inappropriate step because the monthly electricity costs required are already very expensive. This paper proposes new solutions for alternative sources of electrical energy in open spaces. We validate this solution by implementing a solar cell in a park bench object. The experimental results show that the proposed solution has the same performance as conventional lighting. Electric park benches can operate longer by using a solar cell with an output power of 26.76 Watt-peak hours. With the enormous potential of solar power, the application of solar cells in an open environment is very suitable. With this electric bench, it is still energy efficient and green energy.
Determination of the requirement resistant for Ship-RUV trust power to maneuvering and performance
Authors: Rahmad Mohammad Basuki , Sutrisno Imam , Budianto  , Mudjiono Urip , Priyonggo Projek 
Published: February 2021

Abstract
The resistance requirement of Ship-RUV is very much needed for the maneuvering process by placing the motor and the propeller as the driving force. In this case the propeller and motor components in the Ship-RUV component are installed with a KV 1000 KV motor with 12000 RPM with a number of 6 Motor-propellers. Propeller conditions are installed in the rear and bottom conditions of the Ship-RUV. This function is used for operational movement when the hull of the ship. Where the design of the motor propeller selection is based on the calculation of resistance obtained from the empirical calculation formula. In the calculation of resistance, the amount of resistance of the Ship-RUV is 16 N to be able to move and operate. The condition of the speed of the Ship-RUV in its operation is planned to be able to move in the air reaching a service speed of 5 knots.