bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Elliptic Net Scalar Multiplication Computation for NIST P-192 Curve using Python
Authors: Razali Zuren , Muslim Norliana , Kahar Saliyah 
Published: June 2021

Abstract
Elliptic curve cryptography is one of the most efficient public-key cryptosystems compared to the Rivest-Shamir-Addleman scheme. One of the methods to compute elliptic curve scalar multiplication is division polynomials which utilize the non-linear recurrence relation also known as the elliptic net. Previous studies were related to elliptic curve scalar multiplication via elliptic net which implemented the use of C++, GP/PARI or Java programming. This study aims to implement the Python programming in the SageMath compiler for computing elliptic net scalar multiplication based on the National Institute of Standards and Technology curve of the type P-192. The implementation could be seen at three main processes which are the scalar decomposition, the blocks of elliptic net generation namely the initial and final blocks, as well as scalar multiplication computation. The base point and prime field of the short Weierstrass curve with a large scalar are the parameters used in the process. The results showed that the implemented programming was easier while working with a large prime number field, vulnerable to errors and can be easily verified. The implemented programming can also be used to compute scalar multiplication on other standardizations of elliptic curve cryptography such as Brainpool 384-bit prime field or NUMS 256-bit prime field curves.
Information Freshness for Vehicles Communications of Safety-critical Vulnerable Road Users
Authors: Mohammed Saber F. , Ke Feng , Lee Yingloong 
Published: June 2021

AbstractInformation freshness is an indicator of the timing of a status update which is of utmost significance for many real-time applications, such as connected vehicles, autonomous vehicles, and sensor networks. The age of information (AoI) metric is useful for quantifying the information freshness for messages delivered to the entities concerned. In this paper, we averaged the peak AoI (PAoI) over time for each vulnerable road user (VRU) in the network with a proposed algorithm namely, priority-based push-out last-generated first-served (PPLGFS) strategy, for safety-critical usage cases to address the issue of maintaining timely VRU status updates across all nearby connected vehicles. A multi-VRU system that supports the cellular network is assumed in which status updates arrive and should be transmitted over the network to the intended vehicle. We model the worst-case information freshness (i.e., PAoI) for VRU-destination vehicle links, using a queuing model with the proposed algorithm to manage the packets on arrival. It gives priority messages which have arrived recently, and blocks stale packets to avoid wasting network resources for the transmission of old information. Results show that the proposed algorithm used with PAoI gradually achieves a better performance than other queuing models as the packets arrival rate increases. Besides, it also enhances the maintenance of timely VRU status updates in the intended vehicle.
Educational Data Mining Analysis Using Classification Techniques
Authors: Triayudi Agung , Widyarto Wahyu Oktri 
Published: June 2021

Abstract
Currently, data mining is being needed in various fields to obtain analysis results from certain aspects that are needed. One of the fields that make use of data mining is education. The education sector uses data mining to determine the level of performance or achievement of its students. With data mining, the education sector can also evaluate student achievement and take the next step in increasing that achievement. Data mining in education is also known as Educational Data Mining (EDM). In this study, the theme discussed was the prediction of student learning habits and steps that could be taken to improve student achievement at the university. In this study, three (3) classification algorithms were used, namely Multilayer Perceptron, Random Forest, and Support Vector Machine. This is done to find the best results from each algorithm.
Comparison J48 And Naïve Bayes Methods in Educational Analysis
Authors: Triayudi Agung , Widyarto Wahyu Oktri 
Published: June 2021

Abstract
In the present, data mining can be applied in various fields. One of them is the field of education. By applying data mining in the field of education, education providers can make an analysis of students in their schools. Schools can predict student achievement, make assessments of students more thoroughly, and can also predict students’ interests and talents. This study will discuss the prediction of student learning habits and the prediction of student achievement in order to find out the right steps to take afterwards. In this study, two (2) classification algorithms were used, namely J48 and NaiveBayes. This is done to find the best results from each algorithm.
Application of TOPSIS Method in Exemplary Selection at the Tanjungbalai District Court
Authors: Putra Guntur Maha , Siddik Mohd , Lubis Adi Prijuna , Akmal  , Nuriadi  
Published: June 2021

Abstract
This exemplary election is a person who becomes a role model/role model for a particular role, where the behavior is followed by other employees. The importance of developing behavior and work culture in the fields of professionalism, integrity, and honesty of the District Court is the basis for the Chairperson of the Tanjungbalai District Court in making an exemplary selection program. In terms of selecting the best candidate, manual methods are still less effective. For this reason, the use of the Technique method for order preference by similarity to ideal solution (TOPSIS) in decision support systems in exemplary selection is more effective, to assist management in making decisions. In this research, the criteria used are professionalism, integrity, honesty, responsibility, discipline where the final result of the highest score will be used as a decision in the choice of exemplary leadership.
Identification of Lampung Script Using K-Neighbor, Manhattan Distance And Population Matrix Algorithm
Authors: Augusta Gladys Ivana , Hakim Lukman , Zainal Anna Gustina , Tannady Hendy 
Published: June 2021

Abstract
Language is a communication tool that is used as interaction with others. The use of indigenous languages is decreasing and erasing over time. Lampung script is a script that becomes the identity of the province of Lampung. However, only a few native Lampung residents who know the Lampung script and the younger generation often write Lampung in Latin letters because it is considered easier. This study uses Optical Character Recognition to recognize Lampung characters in image images using a smartphone. This study uses the Pixel Population Matrix feature extraction to extract the characteristics of the characters. The distance calculation for each test character and database uses Manhattan Distance and is classified using K-Nearest Neighbor with the value of k is 3. The results of the character recognition process can be translated into Indonesian. Testing this application is done by taking image samples with several conditions. The script image tested is in the form of a screenshot image of printed writing with random fonts, a handwritten photo image, a screenshot image with a combination of several words and a photo image with a smaller size and random slope. The test results according to these conditions obtained an average percentage of success of 91.49%.
Using PLS-SEM algorithm for Choice of University in Vietnam
Authors: Ngan Nguyen Thi , Khoi Bui Huy 
Published: June 2021

Abstract
The paper tested the factors which influenced the choice of university. Survey data were gathered from 318 students studying at Ho Chi Minh City Industrial University, Vietnam. In the sense of education in Vietnam, the study model was suggested from the university choice studies. We used the PLS-SEM algorithm in Adanco software for analyzing statistics. PLS-SEM algorithm shows that university choice (LC) has been influenced by the University Choice’s five components including Future career expectation (DU), University Reputation, Enroll opportunity (CH), Individual capacity (NL), and Group references (NTK). University Characteristics (DD) and Communication (TT) at university were not influenced University Choice of Student.
Implementation of PROMETHEE-GAIA Method for Lecturer Performance Evaluation
Authors: Watrianthos Ronal , Ritonga Wahyu Azhar , Rengganis Aysyah , Wanto Anjar , Isa Indrawan M. 
Published: June 2021

AbstractAssessing the progress of lectures ensures the involvement of lectures in the exercise of science dissemination by research, education, and community service. That job affects the performance of lecturers at universities throughout the country. The performance of lecturers is evaluated regularly because of the vast number of evaluation attributes. Manual assessment can take time and cannot be carried out. In the evaluation of lecturer’s outcomes, a decision support model is needed to facilitate decision making. This study applies the preference ranking organization method for enrichment assessment (PROMETHEE) as a decision model in Multi-Criteria Decision Making (MCDM) and Geometric Analysis for Interactive Aid (GAIA) as a geometric analysis in determining lecturer performance. This analysis resulted in the maximal value of an alternative of 2 with Phi 0.2333, followed by 1 and 3 alternatives. These results suggest that alternative 2 is the best way to assess the performance of lecturers as the main indicator. Alternative 3 is the least recommendable alternative because of its lowest precision on the basis of visualization results.
Selection of the Best Administrative Staff Using Elimination Et Choix Traduisant La Realite (ELECTRE) Method
Authors: Sirait Sarida , Saragih Doris Yolanda , Sugara Heru , Yunus Muhammad , Sumaizar  , Hanafiah Ali M. , Mulia Siregar Victor Marudut , Indrawan Isa , Anwar Umar , Defliyanto D 
Published: June 2021

Abstract
The research was carried out aimed at solving problems in selecting the best administrative staff at the Vita Insani Hospital. This problem is overcome by designing a decision support system that is able to help decision makers to select the best administrative staff. This DSS was designed using the Elimination Et Choix Traduisant La Realite (ELECTRE) method. From the results of this study it is concluded that the Electre method is very appropriate to use as a decision support tool where the best alternative is the Vita_staff_001 administrative staff which eliminates other alternatives by having a value of 1 as much as 3 which is more than the value of 1 for the other alternatives.
Neuroscience study: analysis of mathematical creative thinking ability levels in terms of gender differences in vocational high school students
Authors: Adiastuty N , Sumarni  , Riyadi M , Nisa A , Waluya  
Published: June 2021

AbstractThis study aims to determine the mathematical creative thinking abilities Level in the high mathematical creative thinking disposition category for each gender difference. This research is qualitative research using a qualitative descriptive method conducted at SMK Pertiwi Kuningan. This study describes mathematical creative thinking abilities of mathematics learning by collecting descriptive data obtained from the classification dispositions of mathematical creative thinking categories, creative thinking abilities test questions, and valid and reliable interviews. The research subjects chosen were four students from 57 students. The research subjects were two male students and two female students who had creative abilities, and the highest test scores were in the high mathematical creative thinking disposition category. Data analysis was performed with the stages of data collection, reduction, data display, and conclusion drawing. The results showed that male and female students in the high mathematical creative thinking disposition category have creative abilities that fulfill the aspects of flexibility, fluency, and elaboration. Flexibility and fluency aspects have an average score with very good criteria. Then, there are differences in the elaboration aspect, where the average score of female and male students are 3.9 and 3.4, respectively. It shows that the difference is not significant, namely 0.5, which indicates that female students are better at the elaboration aspect. Even so, male students also fulfill the elaboration aspect, wherein the very good criteria both. However, male and female students did not satisfy the originality aspect. The creative ability can be reached by having a high mathematical creative thinking disposition. Therefore, the teacher must be able to instill a high mathematical creative thinking disposition in mathematics learning. The high mathematical creative thinking disposition makes students flexible, fluent, and thorough in solving mathematical problems.
Analysis of Students’ Perceptions of Mathematics Subjects: Case studies in Elementary Schools
Authors: Mariamah M , Ratnah R , Katimah Husnul , Rahman Arif , Haris Abd 
Published: June 2021

Abstract
The main problem is elementary school students who have negative perceptions of mathematics. The purpose of this study was to analyze the causes of the emergence of negative perceptions and positive perceptions of students towards mathematics subjects. This type of research is a qualitative study with research subjects of elementary school students. The instrument used was an interview. Data analysis used three steps namely: reduction, data presentation, data verification. The results of this study noted that students who have a positive perception of mathematics are caused by two main factors, namely teacher factors related to competence and internal factors of students in the form of interest or motivation. Students like mathematics because they feel the subject matter will be useful for themselves to be used in everyday life. The results of this study are very important as information and input for educational providers in elementary schools, especially for mathematics teachers who directly interact with students in the learning process.
The Effect of Physics Virtual Experiments on Mastery Concept Based on Students Learning Style
Authors: Hermansyah H , Nurhairunnisah N , Sentaya I M , Sulindra I G M , Andriani N , Gunawan G 
Published: June 2021

AbstractEnhancing technology be able to create each field easier with no exception in the field of Education. There are a lot of learning media making teaching and learning process work well. One of the media is a virtual media used to do physics experiments. The present study aimed to examine the effect of virtual physics experiments on students’ mastery of concepts based on learning styles. The quasi-experimental study held at one of the state senior high schools in West Nusa Tenggara Province. This study used only a posttest control group design. The research sample consisted of two groups, an experimental and a control with 58 respondents consisting of cluster random sampling techniques. The results showed that virtual experiments affect the mastery of the student concepts with auditory and kinesthetic learning style trends, whereas students who have a visual learning style tendency did not affect.
An Online English Teaching Module for CCU Subject: A Solution on the Pandemic Covid-19 Situations
Authors: Hakim M. Arif Rahman , Serasi Reko , Efrizal Dedi , Kurniawan Dondi 
Published: June 2021

Abstract
This research aimed to design and develop an online module for EFL students during and after the Covid-19 pandemic. On 2020, Covid-19 pandemic outbreak forced all teaching and learning processes at universities in Indonesia to migrate totally to the online learning system. The impact of the Covid-19 pandemic that hit and has not been known when it will be ended, the teaching learning process cannot be run optimally because the application of physical and social distancing is practicing on campus and leads the education world to make adjustments to this situation. This research is a developmetn research in the field of education that aims to develop an online-based teaching module on Cross Cultural Understanding subject for students at one of the universities in Indonesia. The final result of this study is an online classroom teaching module of Cross Cultural Understanding subject based on the Contextual Teaching and Learning (CTL) approach for students of English education program in Indonesia which is a good innovation in the midst of the Covid-19 pandemic outbreak, because this teaching module had been developed based on the needs of students and lecturer, adapted from the applicable curriculum in educational institutions related and based on the field trial process that is conformable with the principle of the ASSURE model.
Learning science 4th Grade Solution with Media Kahoot at Elementary School
Authors: Wijayanto Emanuel , Suyoto  
Published: June 2021

Abstract
Today’s learning media is a great way to develop learning abilities for elementary school children. Science learning in elementary schools is expected to be an effort for elementary school students to master science concepts and are embedded in students’ minds. Play is a socially centered process. Here it can increase desire and motivation and stimulate learning at all levels and ages. With the encouragement that emerges for creativity in the classroom, the application of technology can coexist, which is expected to be useful in the learning process. As time goes by, revolution 4.0 in science and technology has developed very rapidly. Application assistance is a good thing to support learning in grade 4 science learning in elementary schools with Kahoot media. Kahoot is an interactive learning game application that uses information and communication technology. Kahoot can create simple quizzes and games so that the atmosphere of learning science in elementary schools will be more interactive because the learning media uses the play chili learning method to support elementary school students’ perspective on learning.
Road Handling Using International Roughness Index and Surface Distress Index Method
Authors: Mahardika Andrew Ghea , Herawati  , Rachman Taufik , Nuryono Budi , Fadriani Hetty , Hidayat Iman , Ramady Givy Devira 
Published: June 2021

Abstract
Determination using field survey data and rough meter III tools, as well as theoretical sources on the determination and evaluation program of the International Roughness Index (IRI) method and the calculation of the Surface Distress Index (SDI) for flexible pavement based on research results from sta 00 + 000 to 02+ 700 IRI values: the average condition is moderate, 02 + 700 to 07 + 635 has a value of light damage to severe damage, SDI value: from sta 00 + 000 to 2 + 700 has a value of the good condition, 02 + 700 to 6 + 800 has a moderate condition value, and sta 02 + 600 to 7 + 635 has light damage to severe damage condition.
Energy Spectrum and Charge Composition of Laser Plasma Ions
Authors: Nasriddinov Sayfillo , Azamatov Zakir , Ismoilov Shuhratbek 
Published: June 2021

Abstract
A mass spectrometric study of the spectra of multi-charged ions A1, Cu, depending on the frequency v = 1, 3, 5, 10, 12 Hz and at q = 1011 W/cm2. It has been proved that with increasing q of laser radiation, the energy spectrum of ions expands towards high energies, and the energy spectrum also has several maxima, the number of which increases with increasing q of laser radiation. It has been experimentally proven that silicon ions with a charge Z > 6 recorded in a plasma formed from a γ-irradiated target under study are characterized by a lower minimum energy than an unirradiated target.
A Study on Drinking Water Distribution Project in Banda Aceh
Authors: Aidil Muntashir , Rauzana Anita , Muhammad Nasrullah 
Published: June 2021

Abstract
The goal of a construction project is to be able to carry out the construction project on time with the budget that matches the plan. However, due to several factors, cost overruns often emerge when executing a project. The purpose of this study is to analyze the dominant factor which leads to cost overruns on the drinking water distribution project in Banda Aceh. This study used primary data that were obtained by distributing questionnaires to contractors that are registered in LPJK company association of Aceh in 2020 and have ever been involved in the installation of drinking water pipes in Banda Aceh between 2015-2020. The population of this research was 62 contractors. By using Slovin equations, 54 contractors were selected as a sample of this research for a 5 percentile margin of error. The dominant factor that leads to cost overruns in drinking water distribution projects in Banda Aceh was caused by cost estimation factor with a mean value of 4,417. This indicates that based on the perception of the contractors, the dominant factor which lead to cost overruns in drinking water distribution projects in Banda Aceh was caused by cost estimation factor.
CSI Analysis of Transportation Services in Kabupaten Wakatobi
Authors: Fadriani Hetty , Afiyah Salamatul , Mahardika Andrew Ghea , Herawati  , Haris Samun , Sartika Ika , Muntiyono  
Published: June 2021

AbstractThe Wakatobi Islands are one of the national priority tourist destinations in the 2020-2024 Medium Term Development Plan (RPJM), but the level of transportation services is not yet adequate. The physical condition of the area in the form of an archipelago is one of the obstacles in transportation services besides the limited accessibility of transportation, the availability of facilities and infrastructure to support tourism and human resources. The purpose of this study was to determine public satisfaction with the level of transportation services in Kabupaten Wakatobi. The analysis method used is the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) using seven indicators of transportation services, namely network connectivity, intermodal integration, travel time, travel costs, comfort, safety, and security. Based on the CSI analysis, it was found that the public satisfaction score was 52.73% which was included in the sufficient category with a value range of 50% to 80%. The IPA results state that the most important indicators to be improved are travel costs, comfort, intermodal integration, and travel time.
Construction Project Evaluation Using CPM-Crashing, CPM-PERT and CCPM for Minimize Project Delays
Authors: Andiyan Andiyan , Putra Raditya Mandala , Rembulan Glisina Dwinoor , Tannady Hendy 
Published: June 2021

Abstract
This research conducted in one construction company in Indonesia, the company was facing several problems, many projects that already ended have delays. Overdue payment one of the projects can reach Rp 252.544.148.-. For calculating late payment that the company can save researcher using Critical Path Method (CPM)-Crashing. CPM-Crashing method can accelerate project duration by increase resource budget, so company doesn’t need to pay overdue payment. The result of CPM-Crashing is company can save Rp. 227.584.147.-late payment. To anticipate project delay proper planning is required. One of project planning method is project scheduling. Great loss because of the overdue amount, the company must evaluate their project schedule. The Researcher using CPM-Project Evaluation Review Technic (PERT) and Critical Chain Project Management (CCPM) both methods can give new project schedule. CPM-PERT can give probability project finish and CCPM can give new project schedule. The result of this research is probability project is not delay is very low that is only 55% project can finish on time, the company must try CCPM schedule.