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ELINVO (Electronics, Informatics, and Vocational Education)

elinvo
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Published by Universitas Negeri Yogyakarta

ISSN : 25806424 EISSN : 24772399 DOI : 10.21831

Core Subject : Science, Education, Engineering,

Computer Science & IT Education Electrical & Electronics Engineering

ELINVO (Electronics, Informatics and Vocational Education) is a peer-reviewed journal that publishes high-quality scientific articles in Indonesian language or English in the form of research results (the main priority) and or review studies in the field of electronics and informatics both in terms of their technological and educational development.

Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro

Articles 6 Documents

Search results for , issue "Vol 6, No 2 (2021): November 2021" : 6 Documents clear

Student Competency Association Analysis For Learning Evaluation Using Apriori Algorithm Evi Dewi Sri Mulyani; Yuda Purnama Putra; Egi Badar Sambani; Shinta Siti Sundari; Teuku Mufizar; Muhamad Satrio Nugraha
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Evaluation activities as a process in a learning program are one of the keys to improving the quality of education that will be accepted by students in learning. Therefore it is important for a teacher in how to understand the lack of learning given to students. Based on this, an analysis was carried out using the Association method with the Apriori Algorithm in finding relationships in the competency value data for each subject. In the Apriori method, it will produce a value that will determine the formation of the pattern. The data used is competency data based on student grades of English class 11 odd semester year class 2019 - 2020 SMK Ar - Rizqi Bina Insani with a total of 108 records with a maximum itemset of 3 itemset. The results of this association analysis produce a relationship between competencies that appear simultaneously, so that it can be used as an evaluation of learning for teachers as a learning improvement strategy for students based on the competence of each subject.

Crowd Detection System Using Blimp Drones as an Effort to Mitigate the Spread of Covid-19 Based on Internet of Things Mashoedah Mashoedah; Oktaf Agni Dhewa; Zulhakim Seftiyana Roviyan; Dheni Leo; Silvia Larasatul Masyitoh
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

The application of health protocols is a regulation that is applied to prevent the spread of Covid-19. Public awareness of the implementation of health protocols is still lacking. This study aims to determine the performance of the detection system using the Blimp Drone as an effort to mitigate the spread of Covid-19 based on the Internet of Things. The method used in system development consists of literature review, needs analysis, design, manufacture, and testing. This system uses the Blimp Drone as a vehicle to carry out flight missions. Raspberry pi camera as a component for distance detection in crowds and mask detection, and Flir Lepton 2.5 as a component for temperature detection. In addition, thealso used raspberry pi 4 is as a component for image processing of the distance detection system for crowd, mask, and temperature detection. The results of the tests carried out are: (1) the results of the analysis of the lifting power of the Blimp Drone using pure helium and a diameter of 0.91m capable of lifting a load of 0.45kg (2) the system can detect the distance of each person in the crowd (3) the system can detect everyone who using a mask and not wearing a mask (4) the system can detect the temperature of each person using image processing (5) an audio warning sounds when a person who is not wearing a mask is detected and the distance between 2 people in a crowd of less than 1 meter is detected (6) the advantages of this tool ie can work autonomous in flight missions to detect the distance the crowd, masks, and temperature, as well as integrated with system the Internet of Things so that data the results capturing can be accessed in real time for further action by the authorities.

Vocational Teachers Readiness in Integration The Principles of Industrial Revolution 4.0 into The Learning Process Muhammad Amin; Bima Mustaqim
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

The Indonesian government has started to fix the problem of industrial change with 'Making Indonesia 4.0' as a strategy to pave the way for Indonesia to become one of the new powers in Asia. One of the steps taken is to change the education system in Vocational High Schools in Indonesia where the education system has turned into competency-based and student-oriented education since April 2018. Teachers must be highly qualified in order to produce students capable of meeting the challenges of the industry revolution 4.0. In this article, we ask the following: "What is the level of teacher readiness in integrating the principles of the industrial revolution 4.0 in the learning process?". Furthermore, this research employs a quantitative technique because data collection this study uses research instruments and its presentation is related to numbers which aim to describe the phenomenon that occurs, including teacher readiness. According to our results, Vocational High School teachers are in the category of ready to integrate the principles of industrial revolution 4.0 in the learning process which is seen from several aspects, follows: (1) Education Competence (EC), (2) Competence for Technological Commercialization (CTC), (3) Competence in Globalization (CG), 4) Competence in Future Strategies (CFS), (5) Counselor Competence (CC). The rapid development of technology can make it easier for vocational teachers to dig up information about industrial revolution 4.0. Therefore that vocational teachers are in the ready category to integrate the principles of the industrial revolution 4.0 in the learning process.

An Authentic Learning Approach to Assist the Computational Thinking in Mathematics Learning for Elementary School Ratna Wardani; Masduki Zakaria; Priyanto Priyanto; Muhammad Irfan Luthfi; Irma Nuur Rochmah; Andy Ferry Rahman; Muhammad Trio Maulana Putra
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Programme for International Student Assessment (PISA) 2018 report revealed that in mathematics the ability of Indonesian students to solve mathematical problems is still very low. The Trends in International Mathematics and Science Study (TIMSS) strengthened the PISA report by mentioning that in general, Indonesian students' ability in solving fraction problems is low. In this study, We tried to improve students' ability in solving fractions by using computational thinking assisted by an authentic learning approach. A system was utilized to help the students in learning fractions. Totally twenty-two fifth-grade students were assigned in this study. While they learned fractions using the system, they needed to capture an object around them to make a representation of the fraction problem. Moreover, by using the system, they also need to find the best and fastest way to solve a fraction problem. The result showed that their learning achievements improved especially in fraction representation, fraction operation, linguistics, and creativity. And multiple regression results showed that students’ activity can predict the students’ learning achievement. The more active the learn fraction using the system, the higher score they get. In the final, the result of this study contributes essential implications along with a conclusion and suggestion for future research.

Implementation of Switching Algorithm for SVPWM Inverter in Induction Motor Drive System on Electric Vehicle Applications Bayu Praharsena; Mohammad Jauhari; Era Purwanto; Mentari Putri Jati; Angga Wahyu Aditya; Aries Alfian Prasetyo
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Electric cars are the way to reduce global warming and fuel shortages. Performance variable speed drive is needed for various drive electric vehicle applications. Unfortunately, high performance is still being investigated with a variety of drive systems. This paper presents a design, analysis, and implementation of the SV-PWM inverter motor drive system. The SV-PWM algorithm in design using Matlab, to analyze the system include signal response, THD-V, THD-I. All algorithms are embedded in STM32F4, as the main controller. The hardware uses a 3-phase motor control Steval power module. Response speed and output signal inverters are shown in chart form for analysis

The Automatic Monitoring System for WPP, SPP, and PLN based on The Internet of Things (IoT) using Sonoff Pow R2 Yosi Apriani; Muhammad Rama Bagaskara; Ian Mochamad Sofian; Wiwin A Oktaviani; Muhammad Hurairoh
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

The usefulness of monitoring systems in the electric power system supports the importance of people's work today. One of which is the monitoring system at the generator. The monitoring system for Wind Power Plant (WPP), Solar Power Plant (SPP), and electricity from State Electricity Company (PLN) use IoT (Internet of Things) in the form of Sonoff Pow R2. With the monitoring system on this tool, the parameter values for WPP, SPP, and PLN can be seen and monitored online via a smartphone. The purpose of this research is to design a monitoring system for WPP, SPP, and PLN based on the Internet of Things (IoT) to determine the value of the output power. In addition, this system can distinguish load parameter values when WPP, SPP, and PLN are supplied directly (real time) and monitored online using the Sonoff Pow R2 app and the Ewelink App. This study uses the methodology that started the process of designing and manufacturing systems and designing the wiring that has been formed from the process of making tools and testing results. The results obtained from the experiment show that the current values in WPP, SPP, and PLN that appear on the monitoring screen are stable. The stable condition values are measured and tested when power is used when loading through sonoff. For the power value, the power value in PLN is stable, whereas in WPP and SPP has increased. For the voltage, the voltage value from PLN does not reach 220 V, whereas the voltage value from WPP and SPP reaches a value of 220 V.

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