bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Vocational Education Self-Evaluation System Based-on Semantic Web Ontology
Authors: Ali M , Falakh F M 
Published: January 2021

Abstract
Educational institutions need to carry out regular self-evaluations to improve quality. These activities include evaluation and reflection on internal and external conditions in order to formulate future work programs. Self-evaluation needs to be supported by complete data relating to the condition of the institution. One of the problems in implementing self-evaluation is collecting data that is spread across various systems, either manual, computer, or online. In practice, data integration requires a long time and accuracy. One way to solve this problem is to develop a self-evaluation system using semantic web technology. This paper will discuss the semantic technology-based study program self-evaluation system. The method used is system development, which consists of 5 stages, namely 1) analysis, 2) design, 3) development, 4) implementation and 5) evaluation. This paper focuses on the analysis and design of self-evaluation systems based on semantic web ontology. The results showed that the concept of semantic web technology could be implemented in a self-evaluation system that has been developed and results in better performance.
Determinants of Lectures’ E-learning Usage in Universitas Negeri Yogyakarta Based on Extended Technology Acceptance Model
Authors: Priyanto  , Destiana B , Walipranoto P , Irfan R 
Published: January 2021

Abstract
Several studies have suggested that behavioral and social factors influence the implementation of e-learning apart from technological mechanisms. Therefore, this study aims to prove the significance of these factors related to the acceptance and use of e-learning by lecturers at Universitas Negeri Yogyakarta. This study used a modified Technology Acceptance Model (TAM) by including four additional constructs, namely job relevance, coercive pressure, mimetic pressure, and normative pressure. This ex post facto study administered an online survey to collect data from lecturers at Universitas Negeri Yogyakarta who have used e-learning, represented by Faculty of Engineering, Faculty of Education, Faculty of Language and Arts, Faculty of Social Sciences, Faculty of Mathematics and Natural Sciences, and Faculty of Sports Science. The data were analyzed using the partial least square (PLS) approach. The findings indicated that first, the strongest determinants of perceived usefulness were the variables of perceived ease of use and mimetic pressure, then followed by variables of normative pressure, job relevance, and coercive pressure. Second, the factors that influence behavioral intention are variables of perceived usefulness, job relevance, and perceived ease of use. Meanwhile, the coercive pressure variable was not proven to affect behavioral intention. Third, the factor that has a significant influence on actual usage is behavioral intention. This study mainly demonstrated that the strongest aspect influencing lecturers to use e-learning was the intention to use. Meanwhile, the strongest aspects that influence the intention to use are perceived benefits, followed by job relevance, and ease of use.
Visibility Ranking of University E-Learning Websites -CRITIC Method Approach
Authors: Jati Handaru , Nurkhamid  , Wardani Ratna 
Published: January 2021

Abstract
This study aims to determine the factors that affect the visibility of a website on a search engine and determine the ranking of visibility based on the variables that influence it. Based on the literature review, it was found that the variables that affect the visibility of the website are 9 criteria. Data collection was carried out on 7 e-learning websites of universities in Indonesia which have the mandate to organize teacher professional programs. The ranking mechanism is done by normalizing the data from several variables that have different units and dimensions, followed by finding the weight of each variable using the CRITIC method, which is one of the objective methods of multicriteria decision analysis. The results of weight processing show that the keyword usage level domain variable is the most important variable, and domain level link authority features are the least significant effect on website visibility, while the ranking of visibility shows that Yogyakarta State University has the best ranking. A fairly efficient methods of CRITIC could be modelled with any number of criteria and alternatives that the problem has, since its procedure is very clear and concise.
Intelligent Attendance System with Face Recognition using the Deep Convolutional Neural Network Method
Authors: Nurkhamid  , Setialana Pradana , Jati Handaru , Wardani Ratna , Indrihapsari Yuniar , Norwawi Norita Md 
Published: January 2021

Abstract
Recording student attendance in lectures can be done in several ways, namely giving initials on the attendance sheet or by the lecturer calling each student and then giving a checkmark on the attendance sheet or attendance recording system. This method is inefficient because it is done repeatedly at every meeting, resulting in reduced lecturing time. Some researchers are trying to develop various ways to overcome this, such as using fingerprints, Internet of Things devices, cards with RFID technology, QR codes, and smartphones. However, these technologies require many devices, and they may be costly. The purpose of this research is to develop an intelligent attendance system with facial recognition technology that can identify many people simultaneously without having to make direct contact using the Deep Convolutional Neural Network method. The system is then tested and analyzed for its accuracy in identifying and recording student attendance. The results of research conducted on 16 students in a lecture show that the system can be used to record student attendance with an accuracy of 81.25% in the condition that the student facing forward, 75.00% in the student condition facing sideways, and 43.75% in the student condition facing down.
Important Ways in Designing Vocational Secondary School Teacher Development Education and Training
Authors: Kholis N , Supriyadi E , Mardapi D 
Published: January 2021

Abstract
A mid-level labor preparation having the qualification and competency appropriate with working world needs is a task from vocational secondary school (VSS). Now days, VSS become an attention by wide community, as a result of the existence of government policy which is trying to empowering vocational secondary education. The policy taken is by performing the revitalization of vocational school which has the aim to improve the quality of labor competitiveness. One of the programs is teacher quality improvement through various teacher training. However, relating to this case, it is suspected that the previous vocational school teacher training is less effective, so that it needs to be conducted the analysis about the teacher training implementation. Therefore, this article will be elaborated the ways needed to be conducted in improving the educational quality and vocational school teacher development training. The ways should be considered when it is planned and implemented the effective training program, such as: determining the needs, setting the goal, determining the content of learning, selecting the participants, determining the best schedule, selecting the appropriate facilities, selecting the proper instructor, selecting and preparing the audiovisual equipment, coordinating the program and evaluating the program.
Developing a Demonstration Video on Making Dry Banana Preferred by Generation Z
Authors: Anggraeni A A , Surya R A 
Published: January 2021

Abstract
The student of vocational high school nowadays are classified as generation Z. They are common to use information and communication technology. They prefer audio-visual learning media rather than podcast recording or text media. This study aimed to develop a video on making dry banana for the Agriculture Product Processing course and assessing the video’s feasibility. This study was a research & development (R&D) study using the 4D (define, design, develop, and disseminate) approach. Analysis of content, curriculum, and student needs was carried out in the define stage. The scriptwriting and production team selection was conducted in the design stage. Video recording, editing, and feasibility test from experts were performed in the development stage. The video was evaluated by two content experts and one media expert. In the disseminate stage, thirty students as prospective consumers evaluated the video feasibility. The data were analyzed descriptively. The video was in the mp4 format and had a duration of 13 minuter and 13 seconds. The video has been provided with high-definition images, captions, pictures, 2D animations, transitions, and effects. The experts and the students rated this video to be very feasible to be used as instructional media.
Early Warning System Prototype of Train Arrival Based on Internet of Things
Authors: Hertanto D B , Asnawi R , Surwi F 
Published: January 2021

Abstract
This article discusses how to build a remote detection system prototype. An example of its application is for example to turn on a siren when it detects the arrival of a train at an unguarded rail crossing. The device to be produced is expected to be able to reduce and even prevent traffic accidents that often occur at unattended rail crossings. The specific objectives of the research are: (1) Producing a prototype design for the distance detection system at unattended rail crossings; and (2) Obtain good performance from the prototype design of the distance detection system at unattended rail crossings. Specific targets of research are prototypes of distance detection systems at unguarded rail crossings that are performing well and well validated, nationally accredited journals, and IPR. The method of implementation uses development techniques (Research and Development) which refers to Pressman (2006: 409). This activity is carried out for 6 months, in outline the steps are: description and analysis of needs, design, making system prototypes, and system testing. The instruments used included checklists and questionnaires. The data obtained from the questionnaire were analyzed quantitatively to test whether the results met the predetermined indicators. The tool developed has special specifications, namely having a Lora-R02 transmitter and receiver module, a GPS module, a 900A SIM module which are all assembled as IOT using the Arduino Mega 2560.From the results of testing the prototype tool, all tool sensors can work well at a distance of less than 100 meters and only partial sensors work at distances greater than 100 meters. Meanwhile, the Lora module can begin to detect the arrival of objects at a distance of 300 meters.
Hybrid Learning Teacher Profession Education (PPG) and Student Learning Outcomes in 2019
Authors: Soenarto S , Sukir  , Rosyadi S 
Published: January 2021

Abstract
The research aims to: 1) obtain a description of the readiness of students to take PPG Daljab Hybrid Learning Model, 2) obtain a description of the perceptions of PPG Daljab students with the Hybrid Learning Model on the management of the learning system, and 3) obtain learning outcomes PPG students Daljab Hybrid Learning Model in Electrical Engineering Education, FT UNY. This research method is a survey. The study population was 85 PPG Daljab students in the electrical study program in 2019. The sampling technique used was random sampling. The number of research samples was 36 people. The data analysis technique applies quantitative descriptive. The results showed that: 1) the readiness of SMK teachers in participating in PPG Daljab Hybrid Learning Model in Electrical Engineering Education FT UNY was in good category, 2) students of PPG Daljab Hybrid Learning model gave good perceptions on the Electrical Engineering Education study program, UNY in managing the PPG learning system In the Hybrid Learning model, and 3) the learning outcomes of PPG students in the Hybrid Learning Model of the Electrical Engineering Education study program, FT UNY, stage 3 passed 98.15%, and stage 4 passed 74.42%.
TEMPERATURE CONTROL BASED ON FUZZY LOGIC USING ATMEGA 2560 MICROCONTROLLER
Authors: Khairudin M , Ibrahim B , Arifin Fatchul , Rohjai B , Duta A P , Nurhidayah F , Mahendra I G 
Published: January 2021

Abstract
The country of Indonesia has a tropical climate. During the dry season there will be more hot conditions. For the middle class, the use of fans is needed as a neutralizer for hot temperatures. Currently the fan is still manually adjusted to the desired speed. Manually setting conditions, of course, cannot adjust to the current temperature conditions. Therefore we need a fan speed control device using a DS18B20 temperature sensor and a PING sensor. In this study, the algorithm system used is the fuzzy logic controller. The results showed that the change in the range of each increase in temperature and distance was linear. The results of the study show that with a temperature are 32 degrees of Celsius and a distance of 18 cm it produces an output of 60. Input temperatures are 35 degrees of Celsius and 16 cm produce an output of 125. Input temperatures are 35 degrees of Celsius and distance of 20 produce an output of 127. Input temperatures are 75 degrees of Celsius and a distance of 35 cm produces an output of 255 and when the temperature reaches 90 degrees of Celsius and a distance of 4 cm, the PWM returns to zerro because the temperature value exceeds the predetermined range.
Object Detection Robot Using Fuzzy Logic Controller Through Image Processing
Authors: Khairudin M , Yatmono S , Nugraha AC , Ikhsani M , Shah A , Hakim ML 
Published: January 2021

Abstract
This study presents a robot movement in tracking 2D objects. This input image is transformed into another image by certain techniques. In this study, by utilizing image processing, the robot can work to detect objects in the form of hexagons. Apart from detecting the detected shape, this image processing is also for detecting color. So that a hexagon-shaped 2D object will be detected with the magenta color that has been set in advance. The movement of this robot is to follow the motion of objects horizontally. While the object is shifted to the right, the robot will move to the right, and if the object is shifted to the left, the robot will move to the left. Robot movement is controlled by fuzzy logic. There are 5 membership functions to divide the object’s position area and 5 membership functions output to adjust the speed and direction of the robot’s motion.
Development of Human Machine Interface (HMI) Training Kit as A Learning Media for Industrial Automation Engineering Practical Courses
Authors: Maryadi T H T , Pramono H S , Hatmojo Y I , Prianto E , Sunomo  
Published: January 2021

Abstract
Learning media is one of the learning tools that is needed so that the learning process can run smoothly and students can have competencies in accordance with the expected competency goals. This paper discusses: (1) developing a Human Machine Interface (HMI) training kit as a learning medium in the Industrial Automation Engineering Practical Course; (2) the performance of the HMI training kit; (3) the feasibility of the HMI training kit based on the assessment of media experts, material experts and student responses as training kit users. In developing this training kit using the ADDIE model which consists of Analysis, Design, Development, Implementation and Evaluation. Data collection was carried out by testing the performance of the media, and giving a questionnaire to media experts to assess the feasibility of the media aspect, a material expert questionnaire to assess the appropriateness of the material and a questionnaire to determine student responses as users. The data were analyzed by means of quantitative descriptive analysis which were then categorized. The result of this development is HMI practice learning media for industrial automation engineering practice courses which consist of HMI practice hardware, and jobsheets. The performance of the HMI training kit for input and output parameters, visualization of engine control in the form of buttons, sliders, output visualization, indicator lights, and overall graphics have a 100% correct performance. Based on media experts, design aspects, technical aspects and usefulness aspects were rated very well, so that overall the media aspect received an assessment in the very proper category Based on material experts, technical aspects and aspects of usefullness received an assessment in the very good category, so that overall the material aspect received an assessment in the very proper category. Based on assesment of students as users, the average score student response falls into the very good category.
Singularity and Ergonomics Analysis for Upper-limb Exoskeleton System
Authors: Zengchenghao Xia 
Published: January 2021

Abstract
An exoskeleton is an external structural mechanism that can produce additional torques to the human joints and argument human movement. With applications in rehabilitation medicine, exoskeletons offer benefits for both disabled. The ergonomic and singularity analysis is the major part to evaluate the comfort of an exoskeleton. This article made effort to investigate on the singularity and ergonomics analysis on the upper-limb exoskeleton. We established the kinematic model and the kinematic chain in order to analyse the rotation and translation of the exoskeleton. Next, we simulate the velocity kinematics equation to discuss the singularity and ergonomics of the robots. We use the particle swarm optimization (PSO) algorithm to find the singular points of the models. The PSO based method has verified the efficiency of searching singularity points of the upper-limb exoskeleton system and may have benefits to improve ergonomics.
Effect of electric pulse treatment on the structure and hardness of nickel deformed at room and liquid nitrogen temperatures
Authors: Ilyasov R R , Valeeva A Kh , Valeev I Sh , Sitdikov O Sh , Markushev M V 
Published: January 2021

Abstract
The influence of the energy of electro-pulse processing (EPP) on the structure and hardness of pure nickel deformed at room and liquid nitrogen temperatures is studied. The metal was subjected to isothermal rolling with a strain of 90% and subsequent EPP with integral current densities Kj in the range from 0.06 to 0.19×105 A2s/mm4 corresponding to the calculated temperature range of 130-925°C. It was found that decreasing the rolling temperature of Ni resulted in a more uniform and less misoriented nanocellular structure and a 15-20 HV higher hardness. Subsequent EPP decreased the hardness due to recovery, discontinuous recrystallization with the formation of annealed twins and growth of new grains. It is revealed that a more uniform fine-grained structure with a smaller grain size is formed in the cryorolled metal in a narrower interval and at less EPP energies.
Use of high hydrostatic pressure for food sterilization and seed treatment
Authors: Volkov A Yu , Kruglikov N A , Alexandrov A V , Kotkova V V 
Published: January 2021

Abstract
Experiments with high hydrostatic pressure to sterilize meat, sauces, mayonnaise, milk and yoghurts have been conducted. We also used the hydrostatic processing to increase the speed of germination and productivity of various plants (radishes, tomatoes, licorice, etc.). It was found that, after high pressure processing, the microbial contamination of all food products was reduced. It resulted in a significant increase in the shelf life of food (from 3 to 5 times). It was shown that the high pressure processing was a way to significantly increase the crop yield of tomatoes (by ∼65%) and the germination of legumes (almost by an order).
Models and parameters of Cosserat hexagonal lattices with chiral microstructure
Authors: Vasiliev A A , Pavlov I S 
Published: January 2021

Abstract
The article develops a structural approach to construction of Cosserat lattice models with chiral microstructure. A variant of the phenomenological potential of connecting cites (particles) of the lattice has been introduced. The parameters of this potential have been found for special cases of complex connections of finite-sized particles and complex beam compounds. Based on the potential, a discrete model and a long-wavelength continuum chiral model have been elaborated. Expression of macroparameters, in particular, the Poisson’s ratio, through the parameters of the phenomenological potential has been found. The dependence of macroparameters on the parameters of the microstructure has been obtained for chiral hexagonal lattices composed of finite-sized particles with complex connections and composite beam compounds.
Simulations of ZnS deposition on Ag2S surface and formation of Ag2S/ZnS heteronanostructure
Authors: Balyakin Ilya A , Sadovnikov Stanislav I 
Published: January 2021

Abstract
Simulation of ZnS deposition from aqueous solution on a surface of crystalline Ag2S has been performed to determine the features of formation of Ag2S/ZnS heteronanostructures. The classical molecular dynamics and density functional theory have been used to study the features of the initial stages of ZnS growth on Ag2S [001] surface. By classical molecular dynamics it was established that sulfur atoms initially are adsorbed on the Ag2S. Zinc atoms were shown to be adsorbed after sulfur atoms. However, the final location of the first adsorbed Zn layer was closer to the Ag2S surface than location of the first adsorbed S layer. Density functional theory calculation showed that Zn atoms were indeed closer to Ag2S surface and confirmed classical molecular dynamics results. However, density functional theory results are more precise since they made possible to account for Ag2S surface reconstruction.
Optimization of high pressure torsion processing for fabrication of the Al-Nb hybrid system
Authors: Khalikova G R , Korznikova G F , Nazarov K S , Khisamov R Kh , Sergeev S N , Shayakhmetov R U , Mulyukov R R 
Published: January 2021

Abstract
A hybrid composite material fabricated from the Al-Nb system using high-pressure torsion (HPT) up to 30 turns has been studied in the present work. To fabricate the composite, deformation of a three-layer Al-Nb-Al package was carried out at room temperature on Bridgman anvils with grooves under a pressure of 5 GPa at N=10, 25 and 30 revolutions, at a strain rate of ω=1 and 2 rpm. Initial disc diameters from pure metals and HPT conditions were experimentally optimized to obtain monolithic and defect-free composite samples. The most intensive fragmentation and stirring of niobium in the aluminium matrix was observed if diameter of aluminium discs was 10 mm and deformation conditions N=25 and 30 revolutions and ω=2 rpm were applied. Three microstructural zones were observed after HPT under optimal conditions: the central zone with wide curved layers of niobium in aluminium, the mid-radius zone with finely dispersed layered structure, and periphery with a uniform distribution of niobium in the aluminium matrix. It was shown that HPT led to occurrence of strain-induced ageing resulting in formation of the intermetallic Al3Nb phase. The microhardness measured along the diameter of the obtained composite materials changed nonmonotonically depending on the produced structure (microstructural zone).