bluuebunny/crossref_metadata_2025_split huggingface dataset:
The mathematical model and assessment of the possibility of implementing the specified movements of a ground-effect vehicle in the vertical plane
Authors: Vshivkov Yu F , Krivel S M 
Published: April 2021

Abstract
Based on the analysis of the tasks of the initial stages of the ground-effect-vehicle design, this work proposes a complex of mathematical models, united by a single research goal. A simplified, partially linearized multi-parameter mathematical model of the aerodynamic characteristics of a ground-effect vehicle was developed and substantiated. The authors propose a method of pre-assessment of the stability of the ground-effect vehicle and calculation of the range of acceptable positions of the vehicle’s center of mass based on the requirements for the device stability and balancing characteristics. The method of calculating balancing parameters of the ground-effect vehicle layout is based on the definition of a particular solution of the differential equation system of the vertical movement of the ground-effect vehicle using elements of automatic control theory. The solution is formed by automatic regulation of the specified (controllable) parameters through changing the control factors of the differential equation system over time using PID controllers (a virtual “automatic control system”). The required level of control factors allows us to draw a conclusion about the validity of the specified position of the center of mass and the possibility of performing a specified movement of the ground-effect vehicle. The paper provides some modeling results.
Quantum-chemical description of interactions in the PhNH2/HCCH system in a superbasic medium
Authors: Absalyamov D Z , Vitkovskaya N M 
Published: April 2021

Abstract
The B2PLYP/6-311+G**//B3LYP/6-31+G* approach was applied to study the superbase-activated interaction of aniline molecule with three molecules of acetylene. The mechanism of the new cascade assembly of N-phenyl-2,5-dimethylpyrrole has been investigated and presented. It is shown that the cascade competes with the experimentally observed reaction of acetylene polymerization due to the comparable activation barriers of the rate-determining stages.
Assembly of 1H-pyrrole from cyclopentanone oxime and acetylene: a quantum-chemical model
Authors: Bobkov A S , Vitkovskaya N M 
Published: April 2021

Abstract
Quantum-chemical modeling of the mechanism of 1,4,5,6-tetrahydrocyclo-penta[b]pyrrole assembly from cyclopentanone oxime and acetylene has been carried out. The kinetic and thermodynamic characteristics of all reaction stages are calculated. The computation results have revealed a fundamental possibility of 1,4,5,6-tetrahydro-cyclopenta[b]pyrrole formation via the Trofimov reaction.
Using PhET simulation to learning the concept of acid-base
Authors: Nuraida O , Akbar G S , Farida I , Rahmatullah S 
Published: April 2021

Abstract
This study aims to analyze student outcomes after learning the acid-base concept supported by PhET Simulation. The PhET simulation is used to help visualize sub-microscopic representation of the acid base solution. The method used is one group pre-test and post-test design with the subject this study consists of thirty high school students in the Bandung area. The research instrument used was a test that measured the ability to distinguish the strength of acid-base at the level of sub-microscopic representation, calculate the degree of ionization, the relationship of Ka to concentration, and analyze the pH of the solution. The result of this study it can be concluded that the PhET simulation can improve student learning outcomes to the level sub-microscopic representation.
Neuroscience update on minimally invasive decompression for surgical treatment of neural compression in lumbar spinal stenosis
Authors: Wibawa B , Wibawa G A , Syakdiyah H 
Published: April 2021

Abstract
Neuroscience is a neural science that studies the nervous system, especially studying neurons and nerve cells with a multidisciplinary approach. The scope of the study of neuroscience includes molecular cellular, nervous system, behavioral neuroscience, and social neuroscience. Spinal stenosis occurs when the space around the spinal veins narrows, burdening the spinal cord and nerve roots. A minimally invasive approach to lumbar spine decompression is treatment for patients with spinal stenosis and spondylolisthesis This article was written to carry out a theoretical update of neuroscience with the aim of analyzing what is meant by lumbar spinal stenosis, what are the trends and minimally invasive surgical approaches for the spine and its management? Minimally invasive surgery, may provide the opportunity for a less invasive surgical intervention. It is an approach that bridges the gap between invasive surgery and more conservative treatment for lumbar spinal stenosis.
A new D-Loop mitochondrial nucleotide variation from individual at Naga and Kuta traditional village
Authors: Rosahdi T D , Satiyarti R B , Nurbaeti D D , Miharja D 
Published: April 2021

Abstract
The D-Loop region of human mitochondrial DNA (mtDNA) has a higher level of polymorphism compared to nuclear DNA. Therefore, the mtDNA D-Loop area can determine a particular individual or ethnic identity. This study aims to determine the variation of the D-Loop region nucleotide sequence, namely the Hipervariable I (HV1) region in normal tribal individuals in Kampung Naga and Kampung Kuta. The sample used is the hair root. In determining the variation of nucleotides has been carried out a series of stages of research, namely the isolation of mitochondrial DNA from hair root samples using buffer lysis, mtDNA sample amplification using PCR techniques with M1 primers and HV2R primers, detection of D-Loop region mtDNA fragments by agarose gel electrophoresis, and sequencing of PCR products by the Sanger Dideoxy method and nucleotide sequence analysis of the sequencing results. The results of DNA amplification by PCR showed a band in the area of 1.0 kb. Homology analysis was carried out by comparing the nucleotide sequences of samples with the Cambridge nucleotide sequence, which shows that there are 10 variations. The new variation (morph) is determined by comparing the results of the variations of the two samples with variations from Homo Sapiens Indonesia including Baduy, Sundanese, Javanese (Sangiran), and Madura. Homology results showed 4 new variations, namely c(16184)A, t(16209)C, a(16272)G, t(16519)C. Sapiens Kuta village and Sundanese (general) have a close genetic relationship. The ancestors of the two Homo Sapiens were closely related to Homo Sapiens Naga, Homo Sapiens Naga are closely related to the Homo Sapiens of the Baduy. The ancestors of Homo sapiens, Kuta, Sundanese, Naga and Baduy, are closely related to Homo sapiens Sangiran (Java). Homo Sapiens Madura is most likely the oldest Homo sapiens seen from phylogenetic trees. The results of this study are expected to be able to add Indonesia’s normal human database.
Ethanol and methanol levels of red dragon fruit wine (Hylocereus costaricensis) with the treatment of sugar and fermentation time
Authors: Sudiarta I W , Saputra I W R , Singapurwa N M A S , Candra I P , Semariyani A A M 
Published: April 2021

Abstract
Red dragon fruit (Hylocereus costaricensis) contains anthocyanin which is a polyphenol compound that is rich in pigments, determining the formation of red, purple and blue colors of various fruits and vegetables. Wine fermentation is the process of breaking down sugar into alcohol and CO2 gas due to enzymes produced by yeast cells. Factors that influence the fermentation process are the type of yeast, sugar content, nutrition, temperature, aeration, and pH. The fermentation time in making fruit wine is very important to know to produce wine with good characteristics. This study aims to determine the effect of sugar levels and the best fermentation time on the characteristics of red dragon fruit wine (Hylocereus costaricensis). This research was conducted at the Food Processing Laboratory of the Faculty of Agriculture, University of Warmadewa. Research with a Completely Randomized Design (CRD) consisting of 2 (two) factors and two replications, the first factor is sugar content, which consists of four levels: 10%, 15%, 20%, 25%. The second factor is the fermentation time, which consists of three levels: 10 days, 15 days, 20 days. Variables observed in dragon fruit wine include objective observations: levels of methanol and levels of ethanol. From the results of the study obtained 10.42% ethanol content, and the wine produced does not contain methanol.
Development of mobile learning integration with scientific approaches on electrolyte solution and redox reaction
Authors: Cahyana U , Fitriani E , Utari W 
Published: April 2021

Abstract
This study aims to develop innovative learning media that is mobile learning through scientific approaches on Electrolyte and Redox and to find out the feasibility of media produced. This research was conducted at SMAN 39 Jakarta and SMAN 98 Jakarta from January to May 2019. The research method used is Research and Development (Borg and Gall) by modifying five stages, namely: needs analysis, product development, validation, and product test. The resulting mobile learning media is called “Electrolyte and Redox.apk” that is compatible with Android devices and provides a summary, videos, simulations, quizzes, and educational games. Feasibility test by topic and language expert acquired 83%-100% with 0.808 of reliability. Feasibility tests by media experts acquired 91%-100% with 0.812 of reliability. Media trials by chemistry teachers acquired 88% -100% with “very good” criteria. Media trials by small scale students received 88%, and a large scale gained 92% with “very good” standards. Based on the results, it can be concluded that mobile learning media through the scientific approach in Electrolyte and Redox topic proper to use as a learning media and suitable for students and teachers needed.
Development of mobile learning integration with scientific approach in stoichiometry
Authors: Cahyana U , Hadinugrahaningsih T , Luthfianisa R I 
Published: April 2021

Abstract
This study aims to develop mobile learning on stoichiometry based on the scientific approach. Mobile Learning was tested in two different high schools. Research and Development method by Borg and Gall used by modifying stages of need analysis, development, validation, and product test. The result of need analysis indicated necessary media, which provide a summary, exercise, practical video, animation video, and educational games as learning based on scientific support in stoichiometry. 74% of respondents liked mobile learning. At the development phase, designed mobile learning media and storyboard along with software chosen to make mobile learning. The feasibility test of the media produced 88% with a reliability of 0.77. Feasibility test for topic and language feasibility test produced 88% with a reliability of 0.9. Chemistry teacher’s test acquired 92% as the best criteria. Small-scale student tests acquired 81%, and big-scale student tests acquired 83% considered as the best criteria. According to this, the study concluded that mobile learning media based on scientific in stoichiometry topic is proper to use and suitable for students and teachers needed.
Utilization of fermented cassava skin ration on carcass weight and percentage of broiler carcass
Authors: Mori M B , R Astiti N M A G , Mardewi N K 
Published: April 2021

Abstract
The purpose of this study was to determine the effect of fermented cassava peel flour on carcass weights and parts of broiler carcasses. This study used 45 CP-707 broiler strains. The design used was a randomized design complete with 3 replications. This study uses fermented cassava peels mixed in ration with 5 level administration, namely: without fermented cassava skin flour (P0), fermented cassava skin flour 3% (P1), fermented cassava skin flour 6% (P2), fermented cassava skin flour 9 % (P3), and 12% fermented cassava peel flour (P4). The application of fermented cassava peel at 9% level in the 6-week broiler ration did not significantly affect all observed variables, but application at 6% level tended to increase carcass weight, breast weight, thigh weight, and wing weight. The fermentation of cassava peel flour at 12% in the ration had a significant effect in reducing carcass weights and weight of broilers at 6 weeks. The results showed that fermentation of cassava peel flour in rations up to 6% tended to increase carcass weight, chest weight, thigh weight, and swing weight, whereas at 12% had a significant effect in reducing carcass weight and weight of broilers at 6 weeks.
Integration dilemmas stories in STEAM project of colloid
Authors: Natalya E , Rahmawati Y , Erdawati E 
Published: April 2021

Abstract
The study aimed is to develop students’ chemical literacy through dilemmas stories and STEAM project in chemistry learning in colloid topic. The dilemmas stories of environmental pollution were explored to engage students in contextual problems. The STEAM project of smoke absorbance was used as the problem solutions in dilemmas stories. The learning approach consists of several steps such as value reflection, problem solving, project development, project monitoring and evaluation, and transformation. The research employed qualitative approach with data collection of students’ interviews, reflective journals, observations, and chemical literacy tests. Chemical literacy consists of several dimension such as scientific ideas, chemical characteristics, chemistry in context, high-level learning skills, and affective aspects. The results showed that the average chemical literacy ability of students were 85,29% in the good category. The teacher faced the challenges in developing dilemmas stories to be relevant to chemistry concepts and curricula. Students need to shift their paradigms within active learning approach. The results of this study can be concluded that the integration of dilemmas stories in the STEAM project provides opportunity to develop students’ chemical literacy.
Molecular docking study of inclusion complex between aromatic amine and Calixarene analogs
Authors: Ivansyah A L 
Published: April 2021

Abstract
A molecular docking was performed in this research by using ArgusLab version 4.0.1. It was used to explore the capability of Calixarene analogs for aromatic amine extraction. There are 6 Calixarene analogs used in this research, i.e. Calixpyrrole, Calixpyridine, Thiacalixarene, Heterocalixaromatic, Calixcarbazole and Calixnaphtalene; and the aromatic amine used in this research are Aniline, 4-Chloroaniline, Toluene-2,4-diamine, 2-Naphtylamine, 4,4’-Metylenbis(2-chloroaniline), 4,4’-Metylendianiline, N-Nitrosodiphenylamine, Benzidine, 2-Aminobiphenyl, 2-Amino-1-methyl-6-phenylimidazo [4,5-b] Pyridine, 3-Trifluoromethylaniline, p-Phenylendiamine, o-Toluidin, 4-Chloro-o-toluidin. In this molecular docking simulation, the guest molecule of aromatic amine compounds were treated as ligand and host molecule of calixarene and its analogs were treated as binding site. This molecular docking simulation used AScore scoring function, binding sitebox size for host molecule with grid size of 0.4 Å, GA docking engine with flexible ligand, 50 population sizes, 1000 max generations, 5 elitisms, 0.2 mutation rate, and 0.8 crossover rate. Calixcarbazole and Calixnaphthelene is the best host molecule for aromatic amines extraction because the inclusion complexes formed between them have negative value of binding energy.
Detection of metal elements within Inductively Couple Plasma Emission Jambi batik waste and views as Muslim education
Authors: Deliza D , Syukri A , Wulanda M N , Sartika D 
Published: April 2021

Abstract
Batik in Jambi is located along the Batanghari river, making it easier for craftsmen to throw waste into the river. Batik waste containing heavy metals used is organic and inorganic dyes that are difficult to degrade naturally in the environment. The use of this dye by the batik craftsman industry has a negative impact on aquatic life, this study aims to detect the content of heavy metals and the views of Muslim intellectual. Detection of heavy metals using ICP (Inductively Couple Plasma) and proven to contain inorganic compounds that contain heavy metals Cd, Co, Cr, Cu, Fe: 1,335; 1,287; 1,325; 0.877; 1,022 mg/L. As a Muslim intellectual this is a challenge that must be resolved because it is his duty and together look after and find solutions to what has happened, all the inhabitants of the earth are responsible for the care of the earth. Earth is a place where we can do good and worship in a clean, friendly place with the earth, then friendly with its contents, we associate the environment with science and religion (greendeen).
Autonomous car using CNN deep learning algorithm
Authors: Sonata I , Heryadi Y , Lukas L , Wibowo A 
Published: April 2021

Abstract
Autonomous cars have become an interesting discussion in recent years. Several major automotive industries such as Tesla, GM and Nissan are trying to become pioneers in autonomous car technology. Giant technology companies such as Google Waymo, Baidu and Aptiv also developing autonomous car technology. Several technological approaches are carried out in implementing autonomous cars for recognizing surrounding situations, such as radar, lidar, sonar, GPS, and odometry. An automatic control system is used to control navigation based on the data obtained from these sensors. This paper will discuss the use of CNN deep learning algorithm for recognizing the surrounding environment in creating the automatic navigation required by autonomous cars. The system designed will create and learn the data set that will be taken in advance and the learning outcomes will be implemented in an open simulation system. This simulation shows high accuracy in learning to navigate the autonomous car by observing the surrounding environment.
An empirical study of regression testing techniques
Authors: Rahmani A , Min J L , Maspupah A 
Published: April 2021

Abstract
Regression testing is a testing process for established software and developed ones. Adding features to the software should not cause errors in the previous software version. There are several methods for implementing regression testing. The most straightforward is to do retest-all, but this technique is costly and protracted because it has to execute all test cases in the test suite. This situation is the nature of regression testing research, i.e. determining how to execute only a few test cases to shorten the time, and the faults can be found as much as possible. Recently there are various algorithms for regression testing process. This paper explains an empirical study of several regression testing methods. In the empirical evaluation, we used open-source SUTs, and several are implemented ourselves. On the other side, we utilize an MTS tool from the software artefact repository (SIR) and other open-source tools to automatic testing execution. The empirical study shows that each technique has a specific characteristic, and also has effectiveness significantly to reduce execution time testing process. So that in the regression testing implementation, it is crucial to determining the techniques considering each of them has consequences.
Effective preprocessed thin blood smear images to improve malaria parasite detection using deep learning
Authors: Swastika W , Kristianti G M , Widodo R B 
Published: April 2021

AbstractMalaria can be difficult to detect from thin blood smears. Image recognition methods such as convolutional neural network can be used to detect malaria, but the training process takes a long time. Previous research created a new architecture and compares it to several other architectures such as VGG-16 and ResNet. The effect of preprocessing is analyzed in this research. VGG-16, ResNet, and the custom architecture created by the previous research are being used in this study. The preprocessing methods being analyzed in this research include gray-world normalization and comprehensive normalization. The highest accuracy improvement per epoch (0.5256% using ResNet-50 and 0.0352% using custom architecture) is achieved through gray-world normalization, that also improves final accuracy (90.1% using ResNet-50 and 93.1% using custom architecture) when compared to other methods with the same epochs for ResNet and custom architecture.
Comparative study of regression testing tools feature on unit testing
Authors: Maspupah A , Rahmani A , Min J L 
Published: April 2021

Abstract
Regression testing is one of the essential activities in software development. Regression testing ensures that the software is still working properly and new software modifications do not cause unexpected defects. Most of the software industry carries out regression testing on the system under test (SUT) by utilizing tools automatically rather than being done manually which requires a long time estimation and ineffective process. Currently, there are many regression testing tools and variations that make software practitioners need additional time and money to analyze the capabilities of the tools. This paper is a comparative study of the capabilities of tools in carrying out the regression testing process in the java programming language. Each tool has experimented with user input data in the form of a SUT program and a test case that has the same characteristics. Furthermore, the tool’s performance is observed based on the feature evaluation criteria. The criteria used are support platform and technology, test case selection, and functionality. The results showed the similarities and differences in the features of the selected testing tool in performing regression testing. Thus it can help users to choose regression testing tools that suit their needs.
Design and implementation software for mining association rules (market basket analysis) to design product layout desicions
Authors: Listiawan T , Hudha M N 
Published: April 2021

Abstract
A provided data from a transactional database, has supported technical development which can automatically find product association or items saved in the database. This finding association rules between saved product in database known as mining association rules. There are so many theories and algorithm developed for conducting mining association rules. One of algorithm developed is Apriori algorithm. This method, has a main goal to find the maximum frequent itemset. Next, this frequent itemset will be generated into associative rules which are not shown before in the database, become valuable information for considering materials in the decision process. Apriori algorithm is a interpretation technique of mining association rules, will be implemented into a web based software. On the software test which use in some different data, it’s concluded that time for mining association rules depends on the presence of every item in every transaction, total of transaction, minimum support and minimum confidence. For smaller value of minimum support and minimum confidence that entered, program will generate more association rules, vice versa.
Some properties of Max-Plus Algebra and generalized inverses on 2x2 matrices integers modulo 3
Authors: Hadi I , Mahatma Y , Sulistyaningrum A 
Published: April 2021

Abstract
The properties of Max Plus Algebra can be applied to the matrix. Furthermore, the generalized inverses in a matrix can also be related to this algebra. This paper discusses some properties of these concepts on 2 x 2 matrices integers modulo 3. Here, we derive the properties of matrices in this algebra. Then, the generalized inverses in these matrices is formed. We conclude that there is some relation between the matrices and its generalized inverses. Some examples of matrices are given to illustrate the properties.