bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combination of Sobel+Prewitt Edge Detection Method with Roberts+Canny on Passion Flower Image Identification
Authors: Wanto Anjar , Rizki Syafrika Deni , Andini Silfia , Surmayanti S , Ginantra N L W S R , Aspan Henry 
Published: June 2021

Abstract
Edge detection is at the forefront of image processing for object detection, so a good understanding of edge detection algorithms is essential. This paper aims to analyze the ability of combined edge detection methods to identify images, through a comparison of two different edge detection methods, namely the combination of Sobel and Prewitt (Sobel+Prewitt) with Roberts and Canny (Roberts+Canny). The analysis process uses a dataset of Passion Flower Images obtained from the United States Department of Agriculture (USDA) Plant Database, Natural Resources Conservation Service (NRCS). The Image dataset was obtained using a Nikon Coolpix 995 camera, JPG format with a resolution of 128×192 pixels. Based on the analysis and testing, the results of the research using the combined edge detection technique of Roberts and Canny resulted in better image identification accuracy compared to Sobel and Prewitt. The average accuracy was 92.84% versus 68.75%.
Prewitt and Canny Methods on Inversion Image Edge Detection: An Evaluation
Authors: Rahmawati Sri , Devita Retno , Zain Ruri Hartika , Rianti Eva , Lubis Najla , Wanto Anjar 
Published: June 2021

Abstract
The use of the edge detection method in an image will produce the edges of the image object. The goal is to mark the part that becomes the image’s detail and fix the point of the blurred vision, which occurs because of an error or the effect of the image acquisition process. This study aims to see the combination of the Prewitt and Canny methods in detecting the edges of the inverted image. The image dataset used is a bonsai image consisting of 10 typical images, and ten bonsai images reversed based on the standard image dataset. The research dataset was obtained from the Caltech 101 website http://www.vision.caltech.edu/Image_Datasets/Caltech101/ with an image size of approximately 200×300 pixels. Based on the analysis of 10 experiments that have been carried out, the combination of the Prewitt and Canny methods can perform edge detection quite well with an average accuracy of 78.90% and an error rate of 21.10%. Thus it can be concluded that these methods combine to yield a reasonable level of precision, though the extent is very limited.
A Solution to Improve the Security of the Internet of Things Network with Lightweight Encryption Methods
Authors: Tanh Nguyen Van , Tri Ngo Quang , Giang Nguyen Linh , Duy Tien-Le 
Published: June 2021

Abstract
Security is an important issue in the Internet of Things networks. Conventional security solutions do not have great value on the IoT network because of many special elements of this system. The article introduces new innovations in security solutions, building comprehensive security systems for the IoT network by combining multiple lightweight encryption methods, installed on layers, against attacks, exploit common basic information. The system is built to ensure the feasibility, confidentiality, efficiency, cost, and balance with the low energy system on the IoT network. This study is implemented on vulnerable layers of IoT, indicating the results after comparing and evaluating different experimental models and scenarios.
Artificial Bee Colony Algorithm for Solving Green Vehicle Routing Problems with Time Windows
Authors: Utama Dana Marsetiya , Fitria Triani Aulya , Garside Annisa Kesy 
Published: June 2021

Abstract
Determining the route of vehicles in logistics has a vital function for logistics companies to reduce the total cost of distribution costs. One of the exciting problems in determining vehicle routes is the green vehicle routing problem with time windows (GVRPTW). This study aims to propose the Artificial Bee Colony (ABC) algorithm to solve the GVRPTW problem. This problem’s objective function is to minimize the total cost of distribution, which involves the total cost of fuel and late delivery costs. The ABC algorithm is applied to a case study of an Indonesian distribution company. Thirty customers and one distribution center were considered in this study. The results show that the ABC algorithm can minimize the total cost of distribution. In addition, the proposed algorithm produces a competitive total distribution cost compared to the nearest neighbor procedure.
Analyzing the Soft Error Reliability of Convolutional Neural Networks on Graphics Processing Unit
Authors: Adam Khalid , Mohd Izzeldin I. , Ibrahim Younis 
Published: June 2021

Abstract
There has been extensive use of Convolutional Neural Networks (CNNs) in safety-critical applications. Presently, GPUs are the most prominent and dominated DNN accelerators to increase the execution speed of CNN models to improve their performance as well as the Latency. However, GPUs are prone to soft errors. These errors can impact the behaviors of the GPU dramatically. Thus, the generated fault may corrupt data values or logic operations and cause errors, such as Silent Data Corruption (SDC). unfortunately, soft errors propagate from the physical level (GPUs) to the application level (CNN model). This paper analyzes the reliability of the AlexNet model to identify which part of the model more vulnerable to the soft error. To achieve this, we injected the AlexNet run on top of NVIDIA’s GPU, using the SASSIFI fault injector as the major evaluator tool. The experiments demonstrate a high reduction from 9.3 % to 0.00% SDCs errors in STORE and 5.0 % to 0.00% SDCs errors in GPR in Im2col. While Add_bias kernel instructions STORE and GPR the errors reduced from 0.8 % to 0.00% and 1.2 % to 0.1% SDCs error respectively.
Strategy for Implementing Immersive Technologies in the Professional Training Process of Future Designers
Authors: Chemerys Hanna , Vynogradova Anna , Briantseva Hanna , Sharov Sergii 
Published: June 2021

Abstract
The article is devoted to the formulation of a strategy for studying immersive technologies in the professional training process of future designers. To formulate the strategy, we reviewed current research in the field of design education on the use of augmented or virtual reality. Based on the analysis of scientific and methodological literature, the features of implementing the study of immersive technologies in the process of professional training of designers are described. There were reviewed educational programs of leading Ukrainian and foreign higher educational institutions in the specialty “design” using SWOT analysis. The strategy for studying augmented reality technology is formulated on the example of the educational program “Graphic Design”. Based on the results of the study, it is concluded that immersive technologies can be successfully implemented in higher education institutions with a developed infrastructure, qualified personnel and students with sufficiently developed multimedia competence. The future prospects of the study are connected with the conduction of an experimental study in order to find out the effectiveness of applying the proposed strategy for the implementation of immersive technologies on the example of the educational program “Graphic Design”.
Augmented Reality as a Medium for Learning Measurements and Quantities
Authors: Arifin Ardian , Haryanti Suci , Trinova Zulvia , Halim Fahmi Abdul , Cakranegara Pandu Adi 
Published: June 2021

Abstract
This study aims to provide students with a special understanding of material magnitude and measurement by utilizing augmented reality. The method in this research utilizes natural feature tracking-Multi Marker Target, as well as system development model namely ADDIE model consisting of Analysis, Design, Develop, Implementation, Evaluate. As well as using the Fast Corner algorithm. The research resulted in an application in the form of displaying 3D objects of layer magnitude and measurement. The designed UI is as attractive as possible for use in students. The application can run well on android operating system. The results of this study obtained the response of students got an average score of 81.87% with the category “Excellent”, so this media deserves to be used as a learning medium based on augmented reality in the field of Material Physics Magnitude and Measurement.
Data Processing and Plant Identification Based on Computer
Authors: Sujana Ahmad , Rosyidin Mohamad Abduh , Santoso Purwadi Budi , Magambit  , Afiyah Salamatul 
Published: June 2021

Abstract
The Plant Conservation Agency (PCA) in processing plant data is very much needed for identification speed. So that if the data is needed quickly, the time needed to perform the data search process will be even faster. In this data processing, there are several categories which will be divided based on the rights of the user who uses this application. The first category is user data processing for admin, garden collection data processing for operators, plant collection data processing for operators, and plant registration data processing for operators. All categories can be entered by users who are permitted to use this plant data processing system. The system development method used is the Sequential Linear Waterfall Model. Design concepts using structured concepts. The results of the alpha testing of this plant data processing system are that a functionally built system can produce output as expected, and for the results of beta testing of the plant data processing system that was built this is a plant data processing system that is made to process plant data and plant development data, plant data processing systems that are created can display plant data in PCA quickly, plant data processing systems can make plant data reports in PCA
Determinant of the Use of Go-Pay Among University Student; an Extended the Unified Theory of Acceptance and Use of Technology (UTAUT) Perspective
Authors: Pramusinto Hengky , Nurkhin Ahmad , Saputro Iwan Hardi , Kholid Almamnukhin , Septiarini Asri 
Published: June 2021

Abstract
This research aims to examine the factors that influence the use of go-pay among college students. An extended UTAUT is used as a basic framework for understanding these factors. A total of 217 students using go-pay are selected as the research respondents. The data are collected using a questionnaire. The questionnaire is distributed via Google form online. Multiple regression analysis data method is used to analyze the data. The results show that the use of go-pay among students is only influenced by behavioral intention and facilitation conditions. The students use go-pay as a payment instrument because their gadgets support the use of these features. The next findings indicate that habit, perceived financial risk, and perceived trust are not proven to be predictors of the use of go-pay by the students.
Digitalization Methods from Scratch Nature towards Smart Tourism Village; Lessons from Tanjung Bunga Samosir, Indonesia
Authors: Pranita Diaz , Kesa Deni Danial , Marsdenia  
Published: June 2021

Abstract
This paper exposed based on a concern about the very good tourism potential, but still not managed under market conditions. The development and management of digital tourism has become a building block for a competitive tourism destination, including the development of a tourist village. Super-priority tourism destination development, must employ a smart concept in ICT and eco-tourism development. Expert Judgment, through a number of focus groups, is used to formulate the best-adapted digital transformation strategy in the tourism village, using qualitative methods and Focus Group Discussion on Village Stakeholders. The results show that building blocks for smart tourism village development are the digital skills of stakeholders as well as financial, digital infrastructure and mentoring support, Tanjung Bunga Village should follow four stages of development: increasing digital literacy, building e-business, setting up e-commerce and building up e-commerce.
Forecast Energy Consumption Time-Series Dataset using Multistep LSTM Models
Authors: Nazir S. , Aziz Azlan Ab , Hosen J. , Aziz Nor Azlina , Ramana Murthy G. 
Published: June 2021

Abstract
Smart grid and smart metering technologies allow residential consumers to monitor and control electricity consumption easily. The real-time energy monitoring system is an application of the smart grid technology used to provide users with updates on their home electricity consumption information. This paper aims to forecast a month ahead of daily electricity consumption time-series data for one of the real-time energy monitoring system named beLyfe. Four separate multistep Long Short Term Memory LSTM neural network sequence prediction models such as vanilla LSTM, Bidirectional LSTM, Stacked LSTM, and Convolutional LSTM ConvLSTM has been evaluated to determine the optimal model to achieve this objective. A comparison experiment is performed to evaluate each multistep LSTM model performance in terms of accuracy and robustness. Experiment results show that the ConvLSTM model achieves overall high predictive accuracy and is less computationally expensive during model training than remaining models.
Software Innovation for SD Card Logger on Autoclave with Waterfall Method
Authors: Widadi Sigit , Fajrin Hanifah Rahmi , Pranaditya Afif , Safitri Meilia , Handoko Brama Sakti 
Published: June 2021

Abstract
The autoclave is one of the tools used for the sterilization process. If it is used as medical equipment in a hospital, according to the laws and regulations, it must have a certificate of proper use. Currently, autoclave calibration is carried out analogously by testing bacterial growth on spore strip paper. This research is part of the autoclave innovation and aims to create a process design for recording history data on the sterilization process. Data recording uses the data logger method recorded onto the SD Card memory media to record parameter values every second. Program commands are written in C language and run on the Arduino Mega 2560 microprocessor module. The autoclave temperature was detected by the RTD PT100 sensor, and the pressure inside the autoclave was detected using the MPX5700AP sensor. The recording was done in real-time using the DS3231 Real Time Clock (RTC) timer. The research results are to analyze the autoclave condition in more detail in order to obtain the eligibility status and facilitate the calibration process.
Decision Support System Analytical Hierarchy Process in Learning Method Selection
Authors: Azhar Zulfi , Wakhinuddin  , Waskito  , Effendi Hansi , Muskhir Mukhlidi 
Published: June 2021

AbstractIn artificial intelligence lectures at STMIK Royal, lecturers give lectures directly to students. In the implementation of these lectures, there is less variety so that students feel bored and the expected learning objectives are less than optimal. So that a broader knowledge is needed in providing lectures with learning methods to students properly and successfully. In selecting the effective learning method in this study using the Analytical Hierarchy Process (AHP) method, because this method is able to analyze using a number of criteria and selected alternatives. This research method by comparing the matrix with several criteria and alternatives from the results of filling out the questionnaire. This study produces several alternatives in a ranking, namely indirect learning strategies, interactive learning, independent learning and direct learning.
Selection of Scholarship Recipient by Implementing Genetic Algorithm and Fuzzy Logic
Authors: Pratama Yohanssen , Pasaribu Monalisa , Nababan Joni , Sihombing Dayani , Gultom Dicky 
Published: June 2021

Abstract
PPA (Academic Achievement Improvement) scholarship acceptance Institut Teknologi Del is open annually for students who have improved academic performance but are economically disadvantaged. Every year there is significant increasing of the number of students to apply for the scholarship. As a result, it becomes more difficult to determine students who are entitled to receive the PPA scholarship since the procedure was done manually. As a result, the selection time needed to produce a decision is longer. In response to this, the authors propose the implementation of Genetic Algorithms and Fuzzy Logic in determining scholarship recipients as well as using data from the Institut Teknologi Del Information System (CIS) using student data of 2016, 2017 and 2018. The data obtained is done by data pre-processing, then being input into the system. In the system the state has been set with CR = 0,9, MR = 0,1 and fuzzy parameters will be used. Following the genetic algorithm stages of population initialization, fitness evaluation, selection, crossover, mutation, and elitism, the fuzzy logic process is carried out in the form of fuzzyfication, inference and defuzzyfication. After the fuzzy process is completed, 10 scholarship recipient student data are obtained. Since the results of the membership function provided by the genetic algorithm always changed, it caused different result in each experiment. Four data similar to the original data of the scholarship recipient was finally shown in the 37th experiment from the total of 50 experiments carried out.
Additive Ratio Assessment (ARAS) Method for Selecting English Course Branch Locations
Authors: Sihombing Volvo , Nasution Zulkarnain , Al Ihsan Muhammad Ali , Siregar Marlina , Munthe Ibnu Rasyid , Mulia Siregar Victor Marudut , Fatmawati Irma , Asfar Dedy Ari 
Published: June 2021

Abstract
The research was conducted to overcome the problem of selecting a location for the opening of a new branch of the Murni Sadar English Course. The increasing need for the community to learn English has made Murni Sadar English Course to expand and open a branch of English courses in a new location. This problem is overcome by designing a support system that functions to help facilitate the selection of new branch locations. This DSS is designed using the Additive Ratio Assessment (ARAS) method using 5 criteria: population density level, access to locations, crowd level, rental costs, and population income. From the results of this study it is concluded that the ARAS method is very appropriate to be used as a tool in decision support where the best alternative location is Patuan_Anggi_Street with an alternative value of 0.1778.
The research trends in elementary education: a bibliometric and content analysis from Indonesia accredited journals
Authors: Adi Y K , Arifin S , Simbolon M E 
Published: June 2021

AbstractUnderstanding the research trend in the elementary education level is essential for future research directions that could strongly contribute to the educational field. The purpose of this research was to analyze the research trend in elementary education level in Indonesia. Bibliometric and content analysis was applied to answer the research questions. The data source of this study was articles published by Indonesian Journal that accredited by the science and technology index (SINTA). In order to maintain the credibility of the data, we were selected the journal article only for those published in Journal with SINTA level 2 during the period of 2017 to 2019. The bibliometric analysis was conducted using the VOSviewer program. Moreover, the content analysis was conducted using unitizing-sampling-recording-reducing-inferring-and narrating. The finding of our study describes the research trend in Indonesia based on aspects: 1) researcher network; 2) topic; 3) method; 4) subject; 5) research location; 6) data collection; and 7) analyses. Therefore, as our recommendation, there is a need for elementary education researcher to conduct their study that drives to the research trend as we reported.
The Effectiveness of Think Pair Share (TPS) Integrated Problem-Solving Learning of Students’ Mathematic Ability
Authors: Mariamah M , Muslim M , Gunawan G , Hidayat Arif , Suratman  
Published: June 2021

Abstract
Generally, mathematical communication skills are still facing the problems. This is based on the results of the PISA study and some previous research results. The problem that occurs is that students are still not quite right in using mathematical symbols, the use of graphs and tables as well as the ability to explain arguments mathematically is still low Mathematical communication skills are needed and can be used in solving problems. Research aims to describe the improvement of students’ mathematical communication skills through the application of problem solving integrated Think Pair share (TPS) in mathematics. This research is an experimental research with two design pretest-posttest group. The instrument consisted of test instruments. The data analysis of the results of the study used the t-test. The results of the study obtained a t count of 9,143 when it is compared to the table with a value of 1,708. The significant value is 0,000 <0.05 so that Ho is rejected or the Think Pair Share (TPS) integration problem solving learning model can improve students’ mathematical communication skills.
An Ethnomathematics Case Study of Candrasengkala: A Reversed Order Chronogram in Bali-Java Tradition
Authors: Apsari R A , Sariyasa S , Junaidi J , Tyaningsih R Y , Gunawan G 
Published: June 2021

Abstract
Chronogram is a method to represent year by using a phrase. It is known in some cultures in the world, including Indonesia. Not only to record years, chronogram also be used as an encryption code in ancient cryptography. The present study aims at explaining the chronogram practiced in old Bali and Java traditions called Candrasengkala. Specifically, this is an ethnomathematics case study to understand how indigenous people of Bali and Java, two closely related cultures in Indonesia, practicing their ancient chronogram. To gain the data, we employed literature review and expert interview method to deeply learn the relation and arrangement among the numbers in Candrasengkala. The collected data were analysed qualitatively using descriptive method. From the analysis, it was found that Bali-Java chronogram performed a unique place value system. It means the represented year in Candrasengkala is written in ascending (unit-tens-hundreds-thousands) rather than descending (thousands-hundreds-tens-unit) order which is commonly used nowadays.
Students’ Responses Toward the Use of Technology Learning Media in Mathematics
Authors: Lu’luilmaknun U , Anwar A , Triutami T W , Salsabila N H , Gunawan G 
Published: June 2021

Abstract
Technology learning media has been used in learning mathematics in junior high school. The aim of this study is to describe the responses of junior high school students toward the use of technology learning media. This type of research is a survey study. Participants were 100 junior high school students. Data collection techniques using open-ended questionnaires. Data were analysed using descriptive quantitative method. The gathered data were classified into advantages and disadvantages category to explain how the participants react to their experience in using technology learning media in mathematics classroom. The results showed that the students gave positive responses towards the use of learning media in mathematics classroom since it is interesting, helpful and increased the technology literacy of the students. However, some also reported that the use of media could be difficult, especially the one which asking for internet access, decrease the use of textbook and limit their interaction with classmate. Also, looking too long to the screen can be dangerous for the eye’s health. The findings indicate that their learning style influenced students’ responses. Different styles lead to varying perceptions of the use of learning media in studying mathematics.