bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation and optimization of fire safety emergency evacuation in university library
Authors: Xiao Mufeng , Zhou Xihua , Han Yanchun , Bai Gang , Wang Jue , Li Xianlin , Sunya Shengnan
Published: June 2021

To ensure the safety and emergency evacuation of university library buildings and improve the efficiency of safe personnel evacuation after an emergency, this study considered the actual size and volume of university libraries. The library project of the main campus of Liaoning Technical University was modeled using the Pathfinder software. By considering the site personnel load, personnel attributes, evacuation speed, and personnel ratio, a simulation was conducted to analyze the effect of stacked items’ quantity and location and the effect of the number of items, such as tables, chairs, and bookshelves, and other factors on the time required for evacuation through an indoor evacuation passage. The results reveal that the bottleneck area of evacuation is the indoor corridor and exit of evacuation stairs. The stacking quantity and location planning of items in the reading area greatly influence the evacuation time. Restrictive measures should be taken when the number of personnel in each layer reaches a certain value. The results obtained by this study can provide a theoretical basis for the reasonable planning of evacuation pathways and the future safety management of university libraries.
Cave lithology influencing EPT (Ephemeroptera, Plecoptera, Trichoptera) assemblages and habitat structure in south-eastern Brazil
Authors: Pacheco Gabrielle Soares Muniz , Pellegrini Thais Giovannini , Lopes Ferreira Rodrigo
Published: June 2021

Knowing how cave lithology influences the benthic macroinvertebrate fauna is important for conservation and management of subterranean aquatic systems. However, those influences are still poorly understood, especially in the Neotropics. This study aimed to understand how cave lithology can influence benthic EPT assemblages by assessing the differences in the EPT genera structure in caves of two distinct lithologies (quartzite and limestone) and determining possible differences in the lithology habitats. To achieve this, hydrochemistry data and biological samples were collected in six allogenic cave streams from the two aforementioned lithologies. Results showed that both the assemblages from different lithologies and within the same lithology are statistically different, thus indicating probable regional influences beyond local ones. Our results also pointed out an effect of lithology on the substrate parameters, which in turn affected the EPT composition. Cave lithology affects water chemical and physical characteristics, thus supporting different EPT assemblages. The results of this study provide a foundation for future investigation on how the lithology can influence the benthic macroinvertebrate fauna and should lead to means of predicting such fauna on the basis of the cave lithology and water chemistry.
Cost-effectiveness of thermal imaging for monitoring a cryptic arboreal mammal
Authors: Pocknee Christopher A. , Lahoz-Monfort José J. , Martin Roger W. , Wintle Brendan A.
Published: June 2021

Context The development of reliable and cost-efficient survey techniques is key to the monitoring of all wildlife. One group of species that presents particular challenges for monitoring is the arboreal mammals. Traditional techniques for detecting these species often yield low detection probabilities (detectability) and are time-consuming, suggesting the potential for novel methods to enhance our understanding of their distribution, abundance and population trajectories. One technique that has been shown to increase detectability in a range of terrestrial species is thermal imaging, although it has rarely been applied to arboreal species. The true conservation status of Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) is uncertain because of low detectability under typical survey techniques, and a more suitable method is required to enable effective monitoring of the species, making it an ideal candidate for the present study. Aims We aimed to compare the success and cost-effectiveness of surveys utilising thermal imaging with two traditional methods, namely, spotlighting and daytime surveys, so as to optimise monitoring of D. lumholtzi. Methods We conducted surveys at 10 sites in Queensland (Australia) where D. lumholtzi was known to occur, by using each method, and modelled both the detectability of D. lumholtzi and the cost-effectiveness of each technique. Key results Detectability of D. lumholtzi was significantly higher with the use of thermal imaging than it was with the other survey methods, and thermal detection is more cost-effective. In average survey conditions with a trained observer, the single-visit estimated detectability of D. lumholtzi was 0.28 [0.04, 0.79] in a transect through rainforest, by using thermal imaging. Using only spotlights, the detection probability was 0.03 [0, 0.28] under the same conditions. Conclusions These results show that incorporating thermal technology into monitoring surveys will greatly increase detection probability for D. lumholtzi, a cryptic arboreal mammal. Implications Our study highlighted the potential utility of thermal detection in monitoring difficult-to-detect species in complex habitats, including species that exist mainly in dense forest canopy.
Ontogenetic changes in energy expenditure and resting behaviour of humpback whale mother–calf pairs examined using unmanned aerial vehicles
Authors: Ejrnæs Ditte D. , Sprogis Kate R.
Published: June 2021

Context Baleen whale calves rapidly increase in size and improve locomotion abilities, while on their low-latitude breeding ground, allowing them to undertake a successful migration to high-latitude feeding grounds. Aims We investigated energy expenditure and resting behaviour of humpback whale (Megaptera novaeangliae) mother–calf pairs in regard to changes in calf length on an undisturbed breeding/resting ground off Exmouth Gulf, Western Australia. Methods Data were collected from August to October in 2018 and 2019 on lactating mothers that were predominantly resting on the surface with their calf. Focal follows on mother–calf pairs (n = 101) were conducted using an unmanned aerial vehicle to obtain detailed video of behaviours and respirations (23.7 h). Body length measurements of individual whales were calculated from aerial still frames. Key results Results on calves ranging in length from ~4–8 m demonstrated that calf respiration rate decreased with an increase in calf length and increased with presence of activity (P < 0.001). Calf inter-breath intervals became longer in duration with an increase in calf length (P < 0.01). Calf activity level and resting behaviour remained constant, with calves logging for 53% of the time their mothers were logging. Maternal respiration rate remained low and did not differ with respect to maternal or calf length. Conclusions Results highlighted the importance of resting grounds for energy preservation, which benefits the calves’ rapid growth before migration to polar waters. Implications Findings from the present largely undisturbed population serve as a baseline for understanding the impacts of anthropogenic disturbance on resting behaviour and energy expenditure in humpback whale mother–calf pairs globally.
Peering into buried interfaces with X-rays and electrons to unveil MgCO
3
formation during CO
2
capture in molten salt-promoted MgO
Authors: Bork Alexander H. , Rekhtina Margarita , Willinger Elena , Castro-Fernández Pedro , Drnec Jakub , Abdala Paula M. , Müller Christoph R.
Published: June 2021

Significance

The grand challenge of reducing CO
2
emissions requires the development of cost-effective CO
2
sorbents. Based on the theoretically obtainable weight-normalized CO
2
uptake, MgO-based materials promoted with molten salts are attractive sorbents when compared to amines or metal organic frameworks. However, there is very little understanding of the processes that occur at the atomic-to-micro scale during CO
2
capture conditions, hampering the advancement of such sorbents. Combining X-ray and electron-based characterization techniques, we observe that MgCO
3
crystals form via nucleation and growth at the interface between MgO and the molten salt and are oriented with respect to the MgO(100) surface. Hence, more-effective MgO-based sorbents will require maximizing the interfacial area and the number of nucleation sites at the interface.
Dynamic mechanical behaviour and microstructure of Al/Teflon reactive materials
Authors: Tang Enling , Zhang Ning , Wu Qiang , Jiang Lixiang , Chen Chuang , Han Yafei
Published: June 2021

Dynamic compressive behavior of 2 kinds of Al/Teflon reactive materials samples are analyzed by using the Split Hopkinson pressure bar. The mass percentage of the samples is 26.5% Al and 73.5% Teflon. The particle size of Teflon is 30 µm, and the particle size of Al is 1.5 µm and 100 µm, respectively. The microstructure of the sample was studied by scanning electron microscope (SEM). The results show that Al/Teflon reactive materials undergoes compression-yield-unloading-enhancement stages during the process of dynamic compression. The dynamic compressive strength of Al/Teflon reactive materials samples prepared by Al1.5 µm/Teflon30 µm and Al100 µm/Teflon30 µm are 55 MPa and 47 MPa at the strain rate of 4 × 103 s−1, respectively. When the Al particle diameter is 100 µm in Al/Teflon material, the strength contribution of Al is larger. However the defect is more obvious after yield, the strength is weaker than that of Al1.5 µm/Teflon30 µm sample.
Microstructure and properties of an advanced high-strength steel after austempering treatment
Authors: Chen Shangping , Mostert Richard , Aarnts Maxim
Published: June 2021

The microstructure and mechanical properties were investigated as a function of the austempering temperature in an Si-rich advanced high-strength steel that is expected to serve for automotive applications. The results indicate that both the size and the morphology of bainitic ferrite vary with the austempering temperature. Incomplete bainite transformation was observed only in a limited temperature range. The strength of the steel is dominated by the ferrite size of the matrix including bainitic ferrite and martensite. The hole expansion capacity exhibits a positive correlation to the C content of retained austenite and a negative correlation to the amount of the retained austenite and the formation of carbides.
Thickness measurement of nm HfO2 films
Authors: Kim K J , Kim A , Kim C S , Song S W , Ruh H , Unger W E S , Radnik J , Mata-Salazar J , Juarez-Garcia J M , Cortazar-Martinez O , Herrera-Gomez A , Hansen P E , Madesen J S , Senna C A , Archanjo B S , Damasceno J C , Achete C A , Wang H , Wang M , Windover D , Steel E , Kurokawa A , Fujimoto T , Azuma Y , Terauchi S , Zhang L , Jordaan W A , Spencer S J , Shard A G , Koenders L , Krumrey M , Busch I , Jeynes C
Published: June 2021

Main text

A pilot study for the thickness measurement of HfO2 films was performed by the Surface Analysis Working Group (SAWG) of the Consultative Committee for Amount of Substance (CCQM). The aim of this pilot study was to ensure the equivalency in the measurement capability of national metrology institutes for the thickness measurement of HfO2 films. In this pilot study, the thicknesses of six HfO2 films with nominal thickness from 1 nm to 4 nm were measured by X-ray Photoelectron Spectroscopy (XPS), X-ray Reflectometry(XRR), X-ray Fluorescence Analysis (XRF), Transmission Electron Spectroscopy (TEM), Spectroscopic Ellipsometry (SE) and Rutherford Backscattering Spectrometry (RBS). The reference thicknesses were determined by mutual calibration of a zero-offset method (Medium Energy Ion Scattering Spectroscopy (MEIS) of KRISS) and a method traceable to the length unit (the average thicknesses of three XRR data except the thinnest film). These reference thicknesses are traceable to the length unit because they are based on the traceability of XRR. For the thickness measurement by XPS, the effective attenuation length of Hf 4f electrons was determined. In the cases of XRR and TEM, the offset values were determined from a linear fitting between the reference thicknesses and the individual data by XRR and TEM. The amount of substance of HfO2, expressed as thickness of HfO2 films (in both linear and areal density units), was found to be a good subject for a CCQM key comparison.

To reach the main text of this paper, click on Final Report.

The final report has been peer-reviewed and approved for publication by the CCQM.
Influence of carbon on energetics, electronic structure, and mechanical properties of TiAl alloys
Authors: Legut Dominik , Spitaler Jürgen , Pavone Pasquale , Draxl Claudia
Published: June 2021

We present first-principles calculations of carbon-doped TiAl alloys. The effect of carbon on the structural, electronic, and elastic behavior of the γ phase (L10 structure) of TiAl is investigated. The calculated enthalpy of formation at zero temperature indicates that carbon atoms favor to occupy rather interstitial than substitutional positions. The computed solubility of carbon in the stoichiometric γ phase is very low, in agreement with experimental findings. However, it is significantly enhanced for the Ti-rich alloy and when located inside Ti6 octahedra. Mechanical properties such as Cauchy pressure, elastic anisotropy, Young’s modulus, as well as Pugh and Poisson ratios of stoichiometric and off-stoichiometric compositions are analyzed as a function of carbon concentration and its location. As a general trend, we obtain that below a concentration of 3 at.%, carbon plays a minor role in changing the ductile behavior of γ-TiAl. A slight increase in ductility is found in the Ti-rich γα phase if either located in the Ti-plane (Ti4Al2 octahedral site) or in a Ti6 octahedra.
The implementation of k-means algorithm to determine the quality of teak wood in image based on the texture
Authors: Darmawan Erlan , Novantara Panji , Suwarto Gentur Priguna , Andriyat Rio , Nurhayati Yati
Published: June 2021

Teak is a type of tree that produces high quality wood. Large tree, straight trunk, can grow to a height of 30-40 m. In the developing teak parquet industry, the process of selecting raw materials is very important. This is due to the many types, types and classes of wood texture. The choice of wood texture is still widely used by human workers, most of which require a long time and the results obtained are still inaccurate. This study aims to solve the problem of quality teak grouping based on image texture by creating a computerized system or application using the K-means algorithm. With this method, it is hoped that the classification of the quality of teak can be described more easily based on the texture of the image. Based on the results of system design and testing, the application can group the quality of teak wood based on the texture and color of the image
Technology readiness and acceptance model as a factor for the use intention of LMS e-Learning in Kuningan University
Authors: Yusuf Fahmi , Mirantika Nita , Syamfithriani Tri Septiar , Darmawan Erlan , Irawan Dede
Published: June 2021

Covid 19 pandemic influences business, office activities, and education. It makes all activities are in not in normal activities as we used to do. Now we count on Information Technology to live in this pandemic era. Now to deal with it, we do Teaching and Learning activities in online mode. Not all students are used to learning in online mode. We deal with many kinds of problems in doing Teaching and Learning in Online mode. This research is to find out factors that influences the user’s intention to use Online Learning or E-Learning based on Learning Management System (LMS). Factors used in this research are taken from Technology Readiness from Parasuraman combined with Technology Acceptance Method Model (TAM). Based on the evaluation result, we can conclude that Optimism variable, usefulness perception and ease of use perception in the technology. LMS has very important role in building the positive perception in LMS technology. this motivated the users to use the LMS technology. This research is done with Kuningan University students as our respondents during this pandemic time. This research contributed to previous theory about technology readiness and acceptance method in teaching and learning activity.
Implementation Dijkstra’s Algorithm for Non-Players Characters in the Game Dark Lumber
Authors: Krisdiawan Rio Andriyat , Permana Aji , Darmawan Erlan , Nugraha Fitra , Kriswandiyanto Anto
Published: June 2021

Forest is a unitary ecosystem in the form of a stretch of land containing biological natural resources dominated by trees in their natural environment, which cannot be separated from one another. The importance of forest preservation is based on law, namely ensuring the existence of forests in a sustainable manner while maintaining sustainability and not destroying the environment and the surrounding ecosystem. However, public awareness in preserving the forest is still lacking. Therefore, technology is needed that can provide information about forests and the impact of illegal logging in an attractive manner. Games are multimedia entertainment that is made as attractive as possible. Action games require players to concentrate and think quickly in order to avoid obstacles. Dijkstra’s algorithm looks for the shortest path in a number of steps from which each step selects the minimum weighted value and enters it into the set of solutions. Dijkstra’s algorithm implemented on non-player characters in a game to determine the shortest path to the target player. Games built using unity and developed using the Game Development Life Cycle (GDLC) method. GDLC is a game development process that applies an iterative approach consisting of 6 development phases, starting from the initialization or concept creation, preproduction, production, testing, beta and release phases.
Implementation of the fisher yates shuffle algorithm in the randomization of department recommendation examinations at PMB FKOM UNIKU
Authors: Nurhayati Yati , Maesyaroh Siti , Supartman Sherly Gina , Darmawan Erlan , Herlina Elin
Published: June 2021

The new student admission test is a routine activity carried out by the Faculty of Computer Science, University of Kuningan every year. This activity is the start of the process of searching for qualified new student candidates. In the current system, there are interview sessions that aim to see the interests and talents of prospective students so that the majors chosen by these prospective students are right according to their interests and talents, but because they are still carried out face-to-face it results in less efficiency in terms of time. So we need an application that can provide recommendations for the right majors for prospective students of the Faculty of Computer Science, University of Kuningan efficiently. To avoid cheating in the new student admissions test, the application must be able to randomize the questions optimally by using the Fisher Yates Shuffle Algorithm. In this exam application, there are 300 multiple choice question banks that represent the competences of each department, namely questions with competency categories consisting of basic computer questions, logic, mathematics, programming languages, patterns, graphic design, business processes. The system will randomize using the fisher yates shuffle algorithm and display the randomized questions per category to the test takers. To see the level of effectiveness of the Fisher Yates Shuffle algorithm, 50 questions were randomized per category, displayed as many as 20 questions per examinee with a total of 30 iterations (for 30 exam participants). As a result, the position of the randomized questions is optimal and the time required for randomization is very efficient +0.01 seconds with the appearance rate of the most numbered questions being 3.17% so that the Fisher Yates Shuffle algorithm is one of the optimal algorithms for randomization.
M-Commerce application acceptance analysis using Technology Readiness Index (TRI) model in Kuningan Regency
Authors: Syamfithriani Tri Septiar , Mirantika Nita , Daswa  , Yusuf Fahmi , Kurniadi Erik
Published: June 2021

Online trading activities through mobile devices (m-commerce) are currently becoming a business trend. Online trading has contributed to making the process of buying and selling goods and services easier and more enjoyable because they are timeless and borderless though these still have negative impacts. Therefore, this study examines retail consumer’s perspectives related to their readiness of using the application mobile commerce (m-commerce) in Kuningan regency. Furthermore, this study aims to examine the impact of optimism, innovation, insecurity, and discomfort on consumers’ shopping intentions from mobile devices through the perceived risks and benefits. To analyze the data, this study applied Parasuraman TRI (Technology Readiness Index) Model with the dimensions of optimism and innovation as variable drivers, the dimensions of insecurity and discomfort as inhibitor variables. Meanwhile, the data was gained through survey methods, questionnaire distribution from 397 m-commerce users in Kuningan as respondents. In addition, SPSS was used to test the validity and reliability of the questionnaire. The result showed that the total TRI value of 3.58 (in the high technology readiness index category), the people of Kuningan Regency tend to have a high level of readiness to adopt m-commerce technology, and the user group segment is in the pioneers group (this segment tends to have high interest through the existence of a new technology, have high optimism and innovation, but at the same time they will easily stop trying if they encounter high inconvenience and insecurity.
Decision Support System using Multi-Factor Evaluation Process Algorithm
Authors: Que Bertha Jean , Andarmoyo Sulistyo , Hendrayani Eka , Romindo  , Abdullah Dahlan , Saediman H , Sari Nila Puspita , Ismainar Hetty , Rahmayani Dini , Tharo Zuraidah
Published: June 2021

A nurse, often shortened to nurse or med, is a person whose function is to visit patients to carry out treatment or medication. Nurses must care for and handle any patients who are undergoing treatment or patients who are sick. There are many nurses in the hospital. Each patient gets a class according to the hospital they are settled. These classes differ in terms of the facilities offered and the services they provide. For the VIP class, both excellent facilities and excellent services are needed. The nurses who care for the patients will be incredibly nervous and stressed out. Nurses working in this setting require acute levels of skill. Part of a decision support system that uses the MFEP method can determine very good or skilled nurses based on their job history. According to their training or skills, the different departments’ nurses can be divided into their group.
Naives Bayes Algorithm for Twitter Sentiment Analysis
Authors: Samsir  , Irmayani Deci , Edi Firman , Harahap Junaidi Mustapa , Jupriaman  , Rangkuti Rizki Kurniawan , Ulya Basyarul , Watrianthos Ronal
Published: June 2021

On 2 March 2020, the Indonesian government, through President Joko ‘Jokowi’ Widodo, announced the first two cases of COVID-19 in Indonesia. This is the first case of COVID-19 officially confirmed in that country. Several cases have continued to increase since then. President Jokowi began issuing policies on the spread of this virus. This is different from other countries, such as Malaysia and Singapore, which responded from the previous month when the Indonesian government still stated that coronavirus does not exist in Indonesia. Our case study is to find a public opinion through social network analysis of Indonesian public policy during the beginning of the Indonesian COVID-19 pandemic in March 2020. This research implements text mining and document-based sentiments on Twitter data that is reprocessed through machine learning techniques using the Naïve Bayes method. We found negative opinions in the period more dominant by 46%, while that was 35% positive sentiment and 20% neutral. This research shows that anticipation, sadness, and anger are very dominant in the emotional analysis.
Factors Affecting the Effectiveness of the Implementation of Application OHSMS: A Systematic Literature Review
Authors: Rahmi Auliah , Ramdhan Doni Hikmat
Published: June 2021

Occupational health and safety management system is a system used to manage Occupational Health and Safety. The implementation of OHSMS aims to create a work environment that is free from harm or illness due to work. However, along with the development of OHS, it is not accompanied by an increase in OHS performance. It can be seen form several studies that there is no difference in OHS performance between certified and non-certified companies. Many factors affect the effectiveness of OHSMS implementation. The purpose of this study is to investigate factors influence the effectiveness of the implementation of OHSMS through a systematical literature review. This study reviewed articles published between 2010 – 2020 from 4 search portals, namely: Scopus, Proquest, Science Direct, and Sage. From the result of literature search, there were 40 articles that met the criteria. The results of this study indicate that there are internal and external factors that affect the effectiveness of OHSMS implementation. Internal factors that influence the effectiveness of OHSMS implementation are management commitment, OHS leadership and policies, employee participation, OHS culture, employee morale, sufficient resources, financial performance, OHS cost allocation, company size, internal incentives, worker safety behavior, communication and consultation OHS, OHS rules and procedures, OHS promotion, integration, continuous improvement, the process of identifying hazards and risk reduction, developing and implementing OHS risk control strategies. Meanwhile, external factors include enforcement of OHS regulations, OHS support and authority, external audit certification, external incentives, pressure from customers, market competition, company image, and international trends.
The Role of Mobile Applications in Learning Arabic-Indonesian Translation
Authors: Yusuf Kamal
Published: June 2021

The current study seeks to find to what extent mobile applications were explored in learning translation of Arabic-Indonesian by students of Arabic department at UIN Sunan Ampel Surabaya, Indonesia. This research aimed to survey students’ perceptions and attitudes towards the use of mobile applications during their course in Translation. To investigate students’ perceptions and attitudes, a set of questionnaires was employed to capture their opinion. 45 students were voluntarily participated in answering the questionnaire. The participants of the study were students of Arabic department in their 3rd year at the university. The study revealed that students demonstrated positive attitudes towardss the use of mobile applications in learning Translation. It was also found that mobile applications applied in Translation were beneficial and effective. The key benefits students’ experienced were the improvement of learners’ motivation to study, the increasing of learners’ learning autonomy and confidence, and the encouragement of learners’ opportunities to practices and self-learning.
Performance One-step secant Training Method for Forecasting Cases
Authors: Ginantra N L W S R , Bhawika Gita Widi , Achmad Daengs GS , Panjaitan Pawer Darasa , Arifin Mohammad Aryo , Wanto Anjar , Amin Muhammad , Okprana Harly , Syafii Abdullah , Anwar Umar
Published: June 2021

The training function used in the ANN method, especially backpropagation, can produce different forecasting accuracy, depending on the method parameters given and the data to be predicted. This paper aims to analyze the ability and performance of one of the training functions in the backpropagation algorithm, namely One-step secant, which can later be used or used as a reference in the case of data forecasting. This method is able to update the values of bias and weights according to the one-step secant method. The analysis process uses a dataset of Foreign Exchange Reserves (US $ Million) in Indonesia 2011-2020. Based on this dataset, the dataset will be divided into two parts. The training data uses the 2011-2014 and 2015 dataset as the training data target. Meanwhile, the test data used 2016-2019 and 2020 as the target test data. The analysis process uses 5 experimental architectures, namely 4-5-1, 4-7-1, 4-9-1, 4-11-1 and 4-13-1. The results of the research based on the analysis obtained the best network architecture 4-11-1 with an MSE Training value of 0.00000012, MSE testing/performance of 0.00115144 (the smallest compared to other architectures) and Epoch 343 Iterations.
Application of K-Medoids Cluster Result with Particle Swarm Optimization (PSO) in Toddler Measles Immunization Cases
Authors: Cynthia Eka Pandu , Rahadjeng Indra Riyana , Karyadiputra Erfan , Rahman Fauzi Yusa , Windarto Agus Perdana , Limbong Martalina , Hermanto Teguh Iman , Rusiadi E. , Yarmani Y
Published: June 2021

The objective of the research was to analyze the clustering method by optimizing Particle Swarm Optimization (PSO) in the case of measles immunization for children under the age of 5. The research data source used is the North Sumatra Province Central Bureau of Statistics (https://sumut.bps.go.id/). The data used in 2019 included 33 records with variables BCG, DPT-HB3/DPT-HB/Hib3, CAMPAK (MEASLES + RUBELLA), POLIO 4 and HEPATITIS B. The methods used were k-medoids and PSOs. This method is used to determine the value of the Davies Bouldin Index (DBI) before the cluster value is determined (k). The resulting k values were compared to k-medoids without PSO. The best results of k-medoid and PSO will be tested by classification to see the accuracy value of the cluster formed. The results showed that the optimization of k-medoids and PSO was better with the number of clusters (k = 5) than 0.078. (DBI). The results also show that the accuracy of the cluster formed is 95% with a correlation of 0.98.
Utilization of Rough Sets Method with Optimization Genetic Algorithms in Heart Failure Cases
Authors: Andini Silfia , Sitanggang Rianto , Wanto Anjar , Okprana Harly , Achmad Daengs GS , Aryza Solly
Published: June 2021

Rough Set is a machine learning method capable of analyzing dataset uncertainty to determine essential object attributes. At the same time, genetic algorithms can solve estimates for optimization and search problems. Therefore, this study aims to extract information from the rough set method with genetic algorithm parameters using the Rosetta application in heart failure cases. The research dataset was a collection of Clinical Heart Failure Record Data obtained from the UCI machine learning repository. There are 13 attributes contained in the dataset. Still, two features are removed, namely sex and time. It becomes 11 to reduce the amount of time and memory needed and make data easier to visualize, and help reduce irrelevant features. This research produces eight reducts and 77 rules based on the 20 sample data used. This study concludes that the use of genetic algorithm parameters can optimize the standard rough set method in generating rules.
Implementation of Elliptic Net Scalar Multiplication Computation for NIST P-192 Curve using Python
Authors: Razali Zuren , Muslim Norliana , Kahar Saliyah
Published: June 2021

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

Information 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

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

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

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

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

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

Assessing 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

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

This 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

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

Enhancing 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

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.