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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 247 Documents

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Techno-Entrepreneurship Learning Model in Higher Education Alfrina Mewengkang; Johan Reimon Batmetan
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 1 (2021): Mei 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Techno-Entrepreneurship becomes an important part of higher education based on information technology. This is useful to enhance the spirit of entrepreneurship, the ability to read opportunities and build information technology-based businesses. This study aims to examine the appropriate techno-entrepreneurship learning model in higher education. The research method used is action research with practice using lean canvas models for business models and design sprint method to build product prototypes. The results of this study show how to use practice and tutorials, students can create the right business model and be able to make a prototype of a digital product that is good in implementing business ideas. The conclusion obtained in this study is that techno-entrepreneurship is very appropriate to use lean canvas to build business models and more efficiently use sprint designs to build prototypes of digital products. This model is highly recommended for entrepreneurship learning in higher education.

Development of Web-Based Project Tender Documents Application Using Extreme Programming Methods Mustari Lamada; Aminuddin Bakry; Aulyah Zakilah Ifani; Khaerunnisa Khaerunnisa
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 2 (2022): November 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

The application of technology is a need that is in demand in the industrial world today, especially in the field of contractors of goods and services that have implemented the use of applications to help the process of managing data and project documents in their companies. This study aims to optimize the web-based project tender document system using the extreme programming method. The extreme programming method consists of planning, design, coding, testing, and software increment. Research methods using extreme programming methods consisting of planning, design, coding, testing, and software increment. The planning stages obtain results in the form of functional and non-functional application needs. The design stage results in the design of applications using activity diagrams, diagram classes, use case diagrams, and flowcharts. The coding stages obtain results in the form of applications that can be built using web programming languages. The testing stage uses the ISO 9126 standard. Suitability test results are worth 1 (very good), security is not found to have viruses or malicious malware in applications (grade B), reliability is worth 0.99 (good), usability is worth 90.9% (very feasible), efficiency is worth 98% (grade A), maintainability meets the three standard aspects of assessment (good), and portability is worth 1 (very good). The software increment stage obtained results in the form of implementation and application trials on users who have functioned properly. Based on the results, it can be concluded that the development of web-based project tender document applications using extreme programming methods can function properly and be feasible to use.

Character Education Integration in Distance Learning System Based on Multiple Intelligence Theory: Case Study at SMKN 2 Malang Admaja Dwi Herlambang; Qonita Rahmawati; Wibisono Sukmo Wardhono
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 1 (2022): Mei 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

This study aims to determine how the strategies carried out by Public Vocational High Schools in Malang City, Indonesia, implement character education in the distance learning system. This research occurred at the 2nd PublicVocational High School (SMKN 2 Malang), Computer and Network Engineering Department. The design of this research is an interactive qualitative analysis model, i.e., reduction, data presentation, and deduction. Data collection techniques are in-depth interviews, observation, and documentation for six months. Data documentation consists of diagnostic tests, Learning Management System (LMS) screenshots, and discipline time records during distance learning. This study shows that from knowledge aspect, teachers can understand students' character well so that the application of multiple intelligence strategies by utilizing diagnostic tests and LMS can be realized. However, the implementation of character education often experiences problems or lacks student technical support, so its implementation is carried out consistently by incorporating character values in every learning activity. This study recommends that observation activities be carried out when learning activities need to be optimized with synchronous learning activities.

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.

Development of Virtual Learning using Problem-Based Learning Models for Vocational Education Students Doni Tri Putra Yanto; Maryatun Kabatiah; Hermi Zaswita; Giatman Giatman; Hansi Effendi
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 2 (2022): November 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

This study discusses efforts to improve the implementation of remote learning that is not optimal through the development of Virtual Learning using the Problem-Based Learning Model for vocational education students in the learning process of Electrical Lighting Installation at Vocational High School (SMKN) 2 Lubuk Basung, Sumatera Barat Province. The emergence of the Covid-19 pandemic demands a rapid change in the implementation of learning from face-to-face learning in the classroom to remote learning. This change requires innovations in implementing learning such as media and learning models to ensure optimal learning implementation even though it is carried out remotely. The 4-D development model (Four-D) is applied in this study as a research product development model consisting of 4 stages: Define, Design, Develop, and Disseminate. The instrument used for data collection in the study is a questionnaire for the validity and practicality assessment instrument. The results showed that the virtual learning developed using the Problem-Based Learning Model was valid to be applied in the learning process. After being tested in the learning process, the Virtual Learning developed has been practically used in the learning process to optimize the implementation of learning and improve student learning outcomes. It can be concluded that the Virtual Learning developed with the Problem-Based Learning Model is valid and practical to use in the learning process to optimize the implementation of electric lighting installation learning for vocational education students.

A Serious Game for Improving Reading Skill of Preschoolers Muhammad Rizki Nugraha; Yusep Rosmansyah; Evi Dewi Sri Mulyani; Teuku Mufizar; Dede Syahrul Anwar; Cepi Rahmat Hidayat
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 1 (2022): Mei 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Nowadays, many games are made for educational or learning purposes. However, the unresolved challenge remains, and the perfect balance between the fun and learning aspects remains. This paper represents an effort toward such a challenge by way of game difficulty dynamization implementation in a game to improve preschoolers reading skills using Dynamic Difficulty Adjustment dan Procedural Content Generation. To measure the balance of fun and learning aspects in the game, experiments were conducted involving 32 preschoolers. The proposed game can generate 10.962 game content in various difficulties and balance the fun and learning aspects according to the enjoyment factor's average value. Students could enjoy the game while significantly gaining an increase in the average reading skill, based on the t-test value and NGain value of 0.551.

Design and Development of Aluminum Frame Unmanned Aerial Vehicle Hexacopter Configuration to Support Heavy Payload Ulfah Mediaty Arief; Pramudyo Wicaksono; Indah Novi Yarman
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 1 (2022): Mei 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Previous research has proven that the use of Unmanned Aerial Vehicles (UAVs) can increase the efficiency of human work. However, the design of the usefulness of UAV is considered to be limited. This limitation, for example, is that the UAV's lifting capacity is only capable of lifting 3-5 kilograms of load on average. In addition, the main material of the UAV frame also uses carbon fiber produced by build-up factories abroad, this makes the UAV design less economical. Furthermore, this study discusses the development of the UAV's lifting capacity of 25 kilograms to be able to lift the pesticide liquid load and considers the economic value. The hexacopter type multicopter UAV design was chosen in this study, equipped with 6 main propulsion rotors capable of carrying out its main task of lifting heavy loads, compared to the multicopter type of fewer than 6 rotors. The design is carried out by calculating the lifting force and analyzing the strength structure of the frame material with the help of AutoDesk Inventor software. The final result of the study was that the aluminum-based heavy-lift hexacopter drone was able to support heavy loads, as evidenced by structural analysis simulations resulting in a safety factor value of 1.67 ul, equipped with a 120KV rotor, 23x88 inch propeller, and 6S lipo battery 16,000 mAh, with a total weight of the frame 15kg drone flying for 19 minutes, with an additional 10kg of load the drone can fly for 6 minutes. This research can be developed by adding a nozzle or griper so that it can lift the pesticide spraying tank on a large enough agricultural land.

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.

Performance Analysis Of The Energy Harvesting Techniques In Cooperative Communication Systems of NBIoT Devices With Amplify And Forward (AF) Relaying Protocol Ines Sastre Umayya; Muhamad Milchan; Hendy Briantoro; Yoedy Moegiharto
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 2 (2022): November 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

This study examines the system’s performance with implementation of the energy harvesting (EH) techniques at source node, S and relay node, R. The RF signals which are used to energy harvesting proccess are broadcasted by destination node, D. The information signals from S are sent to D via a R in a cooperative communication framework. The R uses the amplify and forward (AF) protocol to forward the received signal from S to D. We propose a network system which contain of three femto cells, and an access point of each femto cells work as a relay (R), in a macro cell with a base station or eNB as a destination (D). To find the best R for forwarding the information signal from S to D, we choose the partial relai selection strategy. From the simulation results can be shown that the throughput system and the outage probability system are affected by the location of S or the distance of between S-R and S-D. Also affected by the access point power of femto cell that is connected to electric source, and time swithing factor, ρ which is used to harvest energy at S and R nodes. The shorter distance of between S-R and S-D results a better value of throughput system and the outage probability system, since the gain channel value will be high and increases the SNR value at D. More bigger the power from battery of access point femto cell that is used together with the harvested power by R to forward the signal will result a better value of throughput system and the outage probability system. More smaller time swithing factor, ρ results more time period for transmitting signal by S and forwarding sinyal by R, therefore increases the transmit power at S and R. Increasing the transmit powers result the increasin SNR value at D, and result a better value of throughput system and the outage probability system.

A Brief Study of The Use of Pattern Recognition in Online Learning: Recommendation for Assessing Teaching Skills Automatically Online Based Utami, Pipit; Hartanto, Rudy; Soesanti, Indah
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 7 No. 1 (2022): Mei 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Online learning has become a trend for the current generation of students who have been exposed to advanced information and communication technology. Smart education can use pattern recognition. Manual assessments are subjective and inconsistent. To overcome these problems, pattern recognition can be used in the non-verbal aspect assessment system. This study describes pattern recognition in online learning about the functions, modalities, and algorithms and specifically related to the recognition system of non-verbal aspects of teaching skills. The literature study was carried out through the stages of planning, selection, extraction, and selection. There are 86 articles reviewed. The first result is the functions of implementing pattern recognition in online learning are engagement recognition, attention detection, emotion recognition, learning behavior, learning activity recognition, authentication, teaching training, etc. using four classifications of modality: visual, audio, biosignal, behavioral, and CNN as the most widely used learning algorithm. Secondly, all modalities (except behavioral) and CNN algorithm can be used for assessing teaching skills. Early development of the non-verbal aspect assessment system can use Facial Expression Recognition (FER) and Hand Gesture Recognition (HGR). The future analysis needs to focus on technology characteristics, the meaningfulness of the content, and the proper teaching mode. In the end, hopefully, prospective teachers will acquire technology that can make it easier for them to practice teaching and get objective assessments.

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