bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning Mathematics in Madrasah Aliyah Muhammadiyah 2 Banjarmasin during the covid-19 pandemic era
Authors: Suliani M , Juniati D , Ulfah F 
Published: February 2021

AbstractIn 2020, the world is being plagued by the Covid-19 epidemic, Indonesians are required to follow health protocols established by the central government and WHO. One of the protocols for the world of education is not held face-to-face teaching to avoid more transmission. Instead, learning is done through online media and students learn from their homes. The purpose of this article was to describe the learning of mathematics that took place at Madrasah Aliyah Muhammadiyah 2 Banjarmasin during the Covid-19 pandemic era, difficulties experienced by teachers and how to overcome them and their impact on student learning outcomes. The research method used was quantitative and qualitative where data is taken from students’ scores before and during the co-19 pandemic as well as questionnaires and interviews with mathematics teachers. To see differences in student learning outcomes before and when a pandemic, the statistical test (t-test) was used. The results obtained were the teacher used several learning methods with several different software, including using Quizizz for interactive quizzes to reduce student boredom in online learning. Student learning outcomes had improved, this was because when students took exams from home students did not experience anxiety because they were not supervised directly by the exam supervisor, also before the exam was carried out students had been guided by parents and students also learnt independently through online media to get information added. In addition, it was also described the difficulties experienced by teachers during carrying out online learning as well as the ways to overcome them along with the results obtained.
A commognitive Study on Field-dependent students’ Understanding of Derivative
Authors: Lefrida R , Siswono T Y E , Lukito A 
Published: February 2021

Abstract
Cognitive style is a characteristic of students which influences in understanding material learning. The research objectives to explore the student ability to understand the derivatives seen from the commognition perspective. Commognition is defined as a combination of communication and cognition that considers learning as the individualization of patterned collective activities. Moreover, every communication that conducted is called discourse. Keywords, visual mediators, endorsed narrative, and routines are characteristics of mathematical discourse. This descriptive study divided into two groups of students, namely field-independent and field-dependent. This paper only focused on field-dependent students. The data collection was carried out by task-based observation in understanding derivatives using the Focus Group Discussion technique. The steps performed to conduct the data analysis include condensation of data, display of data, and drawing of conclusion and verification. The results showed that the commognitive aspects of students with a dependent-field cognitive style such as keyword, visual mediators, endorsed narrative, and routines appear in each category. However, the scaffolding should be provided by the researcher to obtain the responses from the students.
An APOS analysis of student’s understanding of quadratic function graph
Authors: Listiawati E , Juniati D 
Published: February 2021

AbstractThe purpose of this study is to describe students’ understanding of the graph of quadratic functions. In this study, APOS theory (Action, Process, Object and Schema) used as a theoretical framework. The subjects of this study were two students at a college of education, one male and one female who had equal mathematics abilities. Data collection techniques were written tests and semi-structured interviews. The data generated were analyzed through the stages of data reduction, data presentation and conclusion. The results showed that at action of male subjects drawing graphs directly in the Cartesian plane and uses the general form of quadratic functions while female subject makes a table of points to make graphs and used the general form. At process, male subject enters several numbers to the equation then connects the points but female determines the intersection points with the coordinate axis, looks for other points, looks at the direction of the graph then draws the graph. At object, male subjects make a graph by shifting the top of the other graph, while female determine the function formula by adding constants from the original graph. In this study the two subjects were not yet at the stage of the scheme.
The implementation of Argument Driven Inquiry (ADI) learning model to improve scientific argumentation skills of high school students
Authors: Admoko S , Hanifah N , Suprapto N , Hariyono E , Madlazim M 
Published: February 2021

Abstract
This study aims to describe the implementation of the ADI learning model on physics learning of Newton’s laws, the skills of scientific argumentation of students after learning, and the patterns of scientific argumentation students. This research method used explanatory sequential mixed method design. Data collection methods used in this study were tests, documentation and observation. This research was conducted in Surabaya, East Java, Indonesia. Eighty-five of ten grade students on three classes and one teacher participated in this study. This study applied a scientific argumentation level framework developed by Erduran to determine the level of scientific argumentation skills that can be achieved by students. The results showed that ADI learning model was carried out very well for 3 classes with an average percentage of feasibility for Science Classes 1, 2, and 3 as a whole involving 86.67%, 87.08%, and 88.75%. Scientific arguments of students show a significant increase, with a significance of n-gain values obtained in the medium category. The pattern of changes in the skills of scientific argumentation of students from levels 1 and 2 in the pre-test increased to levels 3 and 4 in the post-test. The reason for the skills of scientific argumentation of students is in accordance with the scientific argumentation skills verbally. Based on these results it can be concluded that the application of the ADI learning model improve scientific argumentation skills of students.
Detection of Tuberculosis based on Deep Learning based methods
Authors: Puttagunta Murali Krishna , Ravi S. 
Published: February 2021

Abstract
Pulmonary Tuberculosis (TB) one of the transmissible diseases, which is one of the top ten causes of death worldwide. The need to strengthen the treatment and screening in TB affected countries. In this paper, a systematic review is carried on deep learning-based computer-aided diagnostic (CAD) systems that are used to analyze chest X-rays for diagnosing pulmonary tuberculosis (TB). Deep learning has recently become one of the most successful techniques, particularly in the analysis of medical images. In Deep learning Convolutional Neural Networks (CNNs) are widely used for TB detection. A CNN model is commonly comprised of convolutional layers, sub-sampling / pooling layers, and fully connected layers. This paper also presents a comprehensive survey on the CNN models for the detection of TB. The progression of computer-aided diagnostic (CAD) systems has sped up the early diagnosis of TB.
Detour homometric number of a graph
Authors: Mohankumar Elakkiya , Abhishek Kumar 
Published: February 2021

Abstract
The distance d(x,y) is the length of the shortest path between a pair of vertices x, y ∊ V(G) of a connected graph G = (V, E). Whereas the detour distance D(x, y) is the length of the longest path between x and y in G. Given a subset S ⊆ V(G) the set d(S) is the multiset of pairwise distances between the vertices of S. Furthermore, D(S) is the multiset of pairwise detour distances between the vertices of S. Two subsets of the vertex set of a graph G are said to be homometric if their distance multisets are same. The largest integer h such that there are two disjoint homometric sets of order h in G is the homometric number of G denoted by h(G). In this article, we extend the notion of the homometric number of a graph to detour the homometric number of a graph as follows: two subsets of the vertex set of a graph G is detour homometric if the multisets D(S) of detour distances determined by them are same. Detour homometric number h

D
(G) of a graph G is the largest integer h

D
such that there are two disjoint detour homometric sets of order h

D
in G. In this article, we explore the notion of detour homometric sets for graphs containing at least on cycle and also propose a potential application of detour homometric sets for automated vehicles.
Prediction of gold price with ARIMA and SVM
Authors: Makala D , Li Z 
Published: February 2021

Abstract
Gold has become more popular as well as very useful commodity in terms of investment. Gold has been used as a national reserve for many years, and that makes it very crucial in the economics of any country. Most of the investors running to gold as a safe area from uncertainty and political chaos. Determining of the price movement of gold helps the investors in focus in their investments, government to make correct decision about economy since Gold price is a key element is world economy. For the purpose of predicting the price of gold, this article research uses ARIMA and SVM model in prediction. The study uses the daily data from world Gold Council from 1979 to 2019 in analysis. The data up to 2014 are used for the training of the models and the rest are used validation. The study results show that the SVM is better one compares to ARIMA using the performance measurement tools of RMSE and MAPE by having RMSE of 0.028 and MAPE of 2.5 for the SVM and 36.18 and 2897 for ARIMA respectively. The results suggest SVM to be used in prediction of any commodity price due to his high accuracy.
i-Hamiltonian laceability in Shadow Graphs
Authors: Sumitra Devi M.R , Girisha A 
Published: February 2021

Abstract
Extracting a Hamiltonian path or cycle in a connected graph G(V,E)has a wide scope in graph theory. Determination of Hamiltonian path in different graph structures is widely researched problem. If h
(
g
) is the size of a Hamiltonian walk in G then G is termed as i-Hamiltonian, if h
(
g
)=
n
+
i, n is the order of G. Here we characterize i- Hamiltonian-t-laceability properties in shadow graph of paths and cycles.
An android based language translator application
Authors: Ogundokun Roseline Oluwaseun , Awotunde Joseph Bamidele , Misra Sanjay , Segun-Owolabi Tobe , Adeniyi Emmanuel Abidemi , Jaglan Vivek 
Published: February 2021

Abstract
A mobile translator is a mobile application that can be utilised for translating from English to any other dialect, and vice versa. The problem of language difference has hindered effective information communication over the years. There have been difficulties in information communication amid countries over the years. In modern times, language interpreters must understand and speak both the language been translated to and verse-visa. This traditional approach used for solving the problem of language differences has not been productive and favourable. Also, the teaching of different languages can be difficult due to language difference problems. The individual will also have to be taught by a tutor who will incur extra expenses and may not be the most efficient and favourable method. Therefore, the study develops an android phone language converter app in other to make learning and language translation easy and facilitates stress-free communication. The proposed language translation uses Google’s real-time translation API natural language processing with Java programming language to develop the application. The most used languages globally (i.e., English, Spanish, Arabic, Hindi, French, and Chinese) were used for the android application translation. This application can be useful for Tourists for communication purposes, thus allowing them to integrate with the local people and access the right information. The system will also be able to evaluate language translation to determine their suitability for everyday conversation; given the fact that it is an android application, one will always be willing to use their phone to learn, compared to having them on a computer or learn from a physical tutor when your phone can be your tutor. The application was evaluated based on the classification time the memory usage, and the battery life all through distinctive use.
A joint neuro-fuzzy malaria diagnosis system
Authors: Oladele Tinuke Omolewa , Ogundokun Roseline Oluwaseun , Misra Sanjay , Adeniyi Jide Kehinde , Jaglan Vivek 
Published: February 2021

Abstract
Diagnosis takes a definitive role in the course of determining about clarifying patients as either having or not having the disorder. This method is relatively sluggish and tedious. Various fact-finding and data-mining methods are part of the approach of this article. In the development of the Collaborative Neuro-Fuzzy Expert System diagnosis platform, Neural Networks and Fuzzy Logic, which are artificial intelligence methods, have been merged together. Oral interviews were conducted with medical professionals whose experience was caught in the Expertise Developed Fuzzy Proficient Scheme. With Microsoft Visual C # (C Sharp) Programming Language and Microsoft SQL (Structured Query Language) Server 2012 to handle the database, the Neuro-Fuzzy Expert Framework diagnostic software was introduced. To capture the predominant signs, questionnaires were administered to the patients and filled out by the doctors on behalf of the patients.
A Study on XSS Attacks: Intelligent Detection Methods
Authors: Stency V S , Mohanasundaram N 
Published: February 2021

Abstract
Cross-site scripting is one of the standard web application attacks vulnerable to the application layer. The attacker handles malicious scripting for trusted websites and inject the script. There are numerous types of XSS scripting vulnerable to attack websites incredibly open web applications. The attacker can load or redirect to the malicious webpage. The XSS is susceptible to attack significant websites like medical, e-commerce, banking, etc. The detection and prevention of XSS attacks are still complicated. Plenty of research has been carried out to control the XSS based attack. This paper analyses the XSS attack detection methods by various performance metrics. Numerous works issued in the widespread journals between 2019 and 2020 are reviewed in this paper to accomplish these requirements. The reviewed articles are compared concerning algorithms’ simplicity, the type they belong, and the performance metrics. The work assumed that the movement in the application of elementary methods to detect XSS attacks is better than the recommendations that custom some artificial-intelligence techniques.
Secure and Authenticate Communication by using SoftSIM for Intelligent Transportation System in Smart Cities
Authors: Yadav Shalini , Rishi Rahul 
Published: February 2021

Abstract
Intelligent Transportation System is a field which is daily paving way for new technologies. Communication in vehicular devices has paved way for security breaches. Vehicle-to-everything connects each and every device to our vehicle just like Internet of Things connects everything to the internet. Everything which is connected to the internet, is prone to security attack. It is very difficult to track the source of the information. Authentication is a big issue and has to be solved. This paper has provided a cognitive approach to address this problem effectively in ITS. A softSIM- similar to the hardware SIM has been proposed. An architecture of the softSIM is designed. A novel algorithm for authenticating the on-board softSIM with the operator has been developed. The performance analysis of softSIM is compared with regular device users. The paper also incorporates future scope as well as business case of the study. The soft SIM will be part of on-board unit and shall come programmed from manufacturer side. This has provided cost effective solution and saved the space that was needed for the hardware SIM.
Effectiveness of Virtual Physics Laboratory (VPL) with Dry Cell Microscopic Simulation (DCMS) to Promote of Inquiry Activity about the Battery
Authors: Wibowo Firmanul Catur , Setiawan Agus , Darman Dina Rahmi , Suhandi Andi , Samsudin Achmad , Noor Faizin M. , Supriyatman  , Anriani Nurul , Nurhaji Soffan , Fawaid Moh. , Adityo Farouq Panca , Niki Dian Permana P 
Published: February 2021

Abstract
Electricity concept is a concept that is microscopic and difficult to see by eye directly (unobservable). A Unique example of the concept of electrical energy in the dry cell, cannot see the movement of protons and electrons so that the dry cell can produce energy. It causes the students have difficulty learning in finding the concept. The Virtual Laboratory with designed to increase the understanding of the concept of the workings of the dry cell to Promote of Inquiry Activity. This study was conducted to 202 teacher physics of senior high school in the experimental group by learning to use the Virtual Physics Laboratory (VPL) with Dry Cell Microscopic Simulation (DCMS). The results show the data from questionnaires for indicators of carrying capacity of the Laboratory of teacher the physics of and post-test is enough from the effectiveness of VPL with DCMS to Promote of Inquiry Activity about the Battery. The implications of using a virtual laboratory designed to overcome conceptual mastery difficulties can effectively assist students in facilitating promote of inquiry activity.
Study on Control Rod Reactivity of Small Pebble Bed Reactor with Wallpaper Fuel Design
Authors: Zuhair  , Suwoto  , Permana S. , Setiadipura T. 
Published: February 2021

Abstract
The control rod reactivity is a crucial reactor parameter designed to shut down the reactor and to control the safety of reactor core under any operation conditions. This paper discusses the control rod reactivity of small pebble bed reactor with wallpaper fuel design. The geometric configuration of RDE was selected for the reactor core model. A number of simulations with Monte Carlo n-particle transport code MCNP6 based on evaluated nuclear data library ENDF/B-VII were employed to investigate the total and individual control rod worth and reactivity in stuck rod condition. In the simulation model, the total amount of uranium per pebble was kept constant at 5 g by varying the hexagonal lattice pitch calculated for different radius of the central graphite zone. The simulation results show that the total control rod achieves the best effectiveness on the central graphite radius of 1.0 cm. The highest worth of individual rods in the wallpaper fueled core are almost greater than that of standard fueled core. The stuck rod criterion in all simulation results confirm that, the failure of one rod with highest worth will not prevent the control system from shutting down the reactor. These results conclude that selecting a central graphite radius of wallpaper fuel is one of the strategies to be carefully considered and a radius of 1.0 cm is the best one in controlling reactor safety and ensuring the control system could shut down the reactor safely.
Measurement studies of thermal conductivity of water and coconut oil with nanoparticles dopant for thermal energy storage
Authors: Silalahi Alfriska O , Sutjahja I M , Kurnia D , Wonorahardjo S 
Published: February 2021

Abstract
The increasing need for energy is still the main issue and had led to finding solutions in many research. Heat transfer fluid and phase change material (PCM) are feasible thermal energy storage materials. For these two types of materials, thermal conductivity is an important parameter to be determined. Measurement of thermal conductivity is highly dependent on chemical composition, physical structure, and also tools of measurement. Thermal conductivity measurements are generally carried out by giving heat to the materials but still paying attention to the resulted temperature and the time duration of measurement to avoid making convection which makes the results inaccurate. Therefore, in this experiment we have investigated thermal conductivity of water and coconut oil (co_oil) as heat transfer fluid using the Decagon devices KD2Pro thermal analyzer that uses the transient line heat source. The results of data analysis are compared with the direct data from the devices, and the obtained results for the thermal conductivity of water are compared with the data from references.
Characterization of Neutron and Gamma Beams at the Tangential Beam Port of TRIGA 2000 Reactor Using Monte Carlo Methods
Authors: Rasito  , Permana S. , Ilham Y. P. 
Published: February 2021

Abstract
Characterization neutron and gamma beams at the tangential beam port of TRIGA 2000 reactor was done in order to prepare the development of Prompt Gamma Neutron Activation Analysis (PGNAA) facility. Characterization was performed by simulation using Monte Carlo method with MCNPX and PHITS computer codes. The MCNPX code was used to simulate the neutron-gamma fluence and energy spectra in the reactor core from fission reactions. The PHITS code was used to simulate the distribution of the neutron-gamma fluence and energy spectra in the tangential beam port. The simulation was done by modeling the geometry and elemental composition of reactor material and radiation source model in the form of fission reaction in the reactor core. The results indicate that the tangential beam port provides better neutron spectrum and neutron-gamma fluence ratio for PGNAA. These results will be used to simulate the colimator design and neutron interaction with samples in PGNAA facility.
Screening and Optimization of Carbon Source to Increase High Thermostabile Biosurfactant Production for Microbial Enhanced Oil Recovery (MEOR) Application
Authors: Purwasena I A , Astuti D I , Rusiwardani N S 
Published: February 2021

Abstract
Petroleum, is by far, one of the world’s major energy sources. However, its production continues to decline every year. One of the effort developed to increase crude oil production is biosurfactant addition. This research aimed to optimize carbon source as substrate used to produce bacterial biosurfactant. The first stage of the study was carbon source screening with based on biosurfactant’s dry weight, IFT value, and emulsification index parameters. The carbon source candidates were crude oil, glucose, molasses, and palm oil mil effluent (POME). Screening stage of crude oil, glucose, molasses, and POME resulted in (a) biosurfactant yield of 0.58, 3.18, 1.47, and 1.38 g/L; (b) IFT decrease of 6.9, 7.7, 4.6, and 6.1 dyne/cm; and (c) emulsification index of 62.5, 72.5, 47.5, and 58.75% for respective treatments. POME was chosen as the best carbon source in consideration that it was readily available in large quantities and lower cost compared to crude oil, glucose, and molasses. Treatments of 1, 3, 5, and 7% POME treatment yielded biosurfactant in the concentrations of 1.08, 1.28, 0.7, and 0.98% g/L respectively. Treatment of 3% POME was chosen as the best concentration to stimulate biosurfactant production. Biosurfactant produced was subsequently applied to sand-pack column simulation and additional oil recovery (AOR) of 20-40% was obtained. Functional group characterization using FTIR showed that biosurfactant produced in this study belonged to lipopeptide group.