cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
ELINVO (Electronics, Informatics, and Vocational Education)
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
 15   16   17   18   19 
A Comparison of K-Means and Agglomerative Clustering for Users Segmentation based on Question Answerer Reputation in Brainly Platform Cahyo, Puji Winar; Sudarmana, Landung
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.454 KB) | DOI: 10.21831/elinvo.v6i2.44486

Abstract

Brainly is a question and answer (Q&A) site that students can use as a media for questions and answers. Students can also use Brainly to find and share educational information that helps students solve their homework problems. In Brainly, users can answer questions according to their interests. However, it could be that the interest is not necessarily following the competencies possessed. It causes many answers to the questions given not to have a high rating because the answers given are of low quality to be prioritized as the main answer. This study aims to apply the K-Means and Agglomerative Clustering methods to segment users based on the reputation of the answerers by conducting clustering based on track records in answering questions on mathematics subjects. This study used the number of the brightest scores and the number of answers that did not get a rating as the basic features for clustering. The comparison between the two methods used is based on the Silhouette Score, representing the quality of the clustering results, calculated by applying the Silhouette Coefficient method. This study result indicates that the K-Means method gives better results than the Agglomerative Clustering. The Silhouette Score generated by the K-Means method is higher at 0.9081 than the Agglomerative Clustering method, which is 0.8990, which produces two clusters or two segments.
Front Matter Vol 7 No 2 Editorial Team Editorial Team
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (148.314 KB) | DOI: 10.21831/elinvo.v7i2.58794

Abstract

BLDC Motor Drives with A Programmable Simplified C-Block to Generate Accurate Six-Step PWM Based on STM32 Microcontroller Muhammad Rizani Rusli; Mentari Putri Jati; Mochamad Ari Bagus Nugroho; Ony Asrarul Qudsi; Indhana Sudiharto; Farid Dwi Murdianto; Endro Wahjono
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.041 KB) | DOI: 10.21831/elinvo.v7i2.52992

Abstract

This paper presents a digital implementation of a brushless direct current motor (BLDCM) drive with a six-step pulse width modulation (PWM) using a programmable simplified C-block based on the STM32 microcontroller. The implementation is conducted through the PSIM simulation platform, which is commonly used for power electronics and motor control. This approach combines the benefits of using a programmable simplified C-block for precise and flexible programming with the PWM concepts of the STM32 microcontroller. The PWM method used on the BLDCM drive is the unipolar upper PWM technique (H~PWM_L~ON). The performance of the PWM implementation is analyzed in detail, including the accuracy of the PWM generation using a Fast Fourier Transform (FFT), the gating of the IGBTs in the three-phase inverter, and the effect of the duty cycle on the BLDCM's speed, phase voltage, and phase current. 
Development of Lecture Attendance System Using QR Code in Information and Computer Engineering Education Study Program of Universitas Negeri Makassar Tenri Nadya Wenny; Suhartono Suhartono; Jumadi Mabe Parenreng
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.82 KB) | DOI: 10.21831/elinvo.v7i1.47865

Abstract

This research is a software development research that aims to develop a lecture attendance system because from the past until now the computer engineering and informatics education study program did not have an attendance database, therefore the attendance data collection itself was done manually which could trigger human error and attendance fraud which is often done by students. Therefore it is necessary to develop a student attendance information system using a QR Code. The application quality based on ISO 9126 quality standards. In this study, system data analysis and collection, prototyping, prototyping, system coding, system testing, system evaluation, and system use. Data was collected using interviews, observation, and survey techniques. The system was validated by two system experts and evaluated by 40 students from the In-formation Technology and Computer Engineering study program at UNM. Data analysis used descriptive statistical analysis techniques. Based on these findings, we created an application that can manage wedding guest data. Based on the test results, you will get the following results: (a) Very good functionality in this category; (b) The maintainability aspect has met the maintainability standard; (c) The portability aspect is rated 1 or very good category; (d) Aspect of reliability with a percentage value of 99.9 so that it meets the reliability standards set in the Telcordia standard; (e) The efficiency aspect of this application is Grade B with a performance percentage of 83; and (f) The system user rating (usability aspect) has a score of 88.05 or very good in the category.  
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1414.456 KB) | DOI: 10.21831/elinvo.v6i2.43409

Abstract

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
Implementation of AHP and Black Box Testing to the Development of an Information System for Assessing the Feasibility of BUMDES Submissions Hari Toha Hidayat; Husaini Husaini; Nanang Prihatin; Radhiyatammardhiyyah Radhiyatammardhiyyah
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.985 KB) | DOI: 10.21831/elinvo.v7i2.54028

Abstract

The existence of institutional village enterprises (BUMDES) has never been adequately monitored in terms of the growth of village-owned businesses in each village. According to the data, there are 17 BUMDES in the Muara District that have been inactive for the most part. Due to the difficulty of monitoring the progress of BUMDES, a significant number of them have become stalled or even inactive. In addition, many BUMDES managers are frequently unprepared to operate the newly opened business. Readiness in terms of the quality of human resources also affects the formation of BUMDES. Consequently, the objective of this study is to facilitate the monitoring of business developments carried out by BUMDES actors in their respective villages, thereby facilitating the feasibility assessment of BUMDES. Aside from that, the purpose of this study is to determine the viability of applying for BUMDES as one of the requirements for obtaining a recommendation from the village head for submission to the Village Ministry.  The feasibility analysis employs the AHP method with multiple parameters, including business age, business type, and business capital. According to research findings with applications, several BUMDES are declared unfit, while others are declared feasible. BUMDES with declared eligibility has AHP values ranging from 0.382 to 0.619. Meanwhile, BUMDES that are unworthy receives AHP values ranging from 0.235 to 0.239. It can also be determined based on the weight of each criterion as to whether or not it is appropriate for BUMDES. While the results of black box testing for the system's feasibility using 10 types of testing, including Equivalence Partitioning, Boundary Value Analysis/Limit Testing, Comparison Testing, Sample Testing, Robustness Testing, Behavior Testing, Performance Testing, Requirement Testing, Endurance Testing, and Cause-and-Effect Relationship Testing. Based on the test results, the system is 100% feasible to be used by users.
Stake's Countenance Evaluation Method on Occupational Health and Safety Implementation in Electronics Engineering Education's Student Industrial Internship Munir, Muhammad; Jati, Mentari Putri; Wulandari, Bekti; Dewanto, Satriyo Agung
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.957 KB) | DOI: 10.21831/elinvo.v7i1.45541

Abstract

This paper discusses the evaluation of the implementation of Occupational Health and Safety (OHS) in student industrial internships. Due to the possibility of the risk of work accidents on industrial internship students are prone to occur. Currently, there are still few who discuss the evaluation of OHS implementation as the basis for carrying out sustainable action efforts. Based on the evaluation carried out, the OHS Implementation in Electronics Engineering Education's Student Industrial Internship has been feasible and follows applicable laws and regulations. The results of this evaluation can provide ideas for increasing sustainable action efforts regarding OHS in Student Industrial Internships.
Urgensi Komunikasi Non-Verbal dan Penerapan Pattern Recognition pada Otomatisasi Penilaian Keterampilan Mengajar Utami, Pipit
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 5 No. 2 (2020): November 2020
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.95 KB) | DOI: 10.21831/elinvo.v5i2.40730

Abstract

Pada program pendidikan guru, keterampilan mengajar merupakan kompetensi yang sangat penting. Penilaian aspek non-verbal belum mendapat perhatian khusus. Aspek non-verbal berperan penting dalam keterampilan mengajar. Pada penilaian keterampilan mengajar secara manual  tidak mudah menghadirkan objektifitas penilaian. Artikel ini memaparkan urgensi pengembangan otomatisasi sistem penilaian keterampilan mengajar terkait aspek komunikasi menerapkan pattern recognition technology. Pengumpulan data dilakukan melalui kuesioner yang didistribusikan pada platform google form untuk keterjangkauan responden. Total responden adalah 172, terdiri atas 61 dosen dan 111 guru. Sebaran responden berasal dari pulau Sumatra, Jawa, Kalimantan, Sulawesi, Bali dan Nusa Tenggara Barat. Hasil menunjukkan bahwa: (i) tingkat kepentingan aspek komunikasi pada keterampilan mengajar adalah sangat penting (skor 4,38); (ii) tingkat kepentingan pengembangan teknologi otomatisasi penilaian adalah penting (skor 4,11); (iii) aspek-aspek komunikasi non-verbal yang diperlukan pada keterampilan mengajar merupakan kombinasi gerakan tubuh, gerakan tangan, ekspresi wajah dan intonasi suara; dan (iv) fitur-fitur yang perlu dikembangkan pada sistem penilaian keterampilan mengajar aspek komunikasi non-verbal adalah refleksi, umpan balik, dan penilaian berulang. Terdapat berbagai tantangan dan permasalahan terkait pengembangan system penilaian aspek non-verbal secara otomatis menggunakan pattern recognition technology. Diperlukan diskusi bersama terkait realisasi system tersebut antara pakar pendidikan dan praktisi engineering.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.382 KB) | DOI: 10.21831/elinvo.v6i2.44870

Abstract

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.
Comparison of DC Motor Speed Calculation Efficiency between Inductive Proximity Sensor and Rotary Encoder Aryanto, Dino Dwi; Sukir, S.
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.55750

Abstract

This study examines the level of effectiveness and efficiency of a sensor on the calculation of the rotational speed (RPM) of a DC motor, considering that the calculation of the rotational speed of an electric motor, both AC motors and DC motors, greatly influences the output of the system. the speed of motor rotation is very influential in several fields, such as power generation, which will affect the output voltage that will be generated. There are many methods for measuring the rotational speed of a motor, including using an inductive proximity sensor and a rotary encoder combined with a PLC as a control center and data processor so that the rotational speed can be read. the output of the proximity sensor and rotary encoder will be connected to the PLC input pin so that data will appear in the form of a pulse value which can be seen in the program that has been made. The data obtained will be processed in a program that uses special instructions, namely PRV. In comparison, the speed of a dc motor will be changed using a PWM module or pulse width modulation to adjust the rotational speed of the motor. From the results of experiments that have been carried out using the proximity sensor, it gives an average motor speed reading of 6420 Rpm with an error of -10.3, and experiments carried out using a rotary encoder give an average motor speed reading of 6409.3 Rpm with an error of 0.4 so that it can be concluded that the use of a rotary encoder is more accurate than the use of a proximity sensor to calculate motor speed.

Page 17 of 25 | Total Record : 247

 15   16   17   18   19 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol. 10 No. 2 (2025): November 2025 (In-Press) Vol. 10 No. 1 (2025): May 2025 Vol. 9 No. 2 (2024): November 2024 Vol. 9 No. 1 (2024): Mei 2024 Vol. 8 No. 2 (2023): November 2023 Vol. 8 No. 1 (2023): Mei 2023 Vol 7, No 2 (2022): November 2022 Vol 7, No 1 (2022): Mei 2022 Vol. 7 No. 1 (2022): Mei 2022 Vol 6, No 2 (2021): November 2021 Vol. 6 No. 2 (2021): November 2021 Vol 6, No 1 (2021): Mei 2021 Vol. 6 No. 1 (2021): Mei 2021 Vol. 5 No. 2 (2020): November 2020 Vol. 5 No. 1 (2020): Mei 2020 Vol. 4 No. 2 (2019): November 2019 Vol 4, No 2 (2019): November 2019 Vol. 4 No. 1 (2019): May 2019 Vol 4, No 1 (2019): May 2019 Vol. 3 No. 2 (2018): November 2018 Vol. 3 No. 1 (2018): May 2018 Vol 3, No 1 (2018): May 2018 Vol 3, No 1 (2018): May 2018 Vol. 2 No. 2 (2017): November 2017 Vol 2, No 1 (2017): May 2017 Vol 2, No 1 (2017): May 2017 Vol. 2 No. 1 (2017): May 2017 Vol 1, No 3 (2016): November 2016 (Consist of 7 Articles) Vol. 1 No. 3 (2016): November 2016 (Consist of 7 Articles) Vol. 1 No. 2 (2016): May 2016 (Consist of 7 Articles) Vol 1, No 2 (2016): May 2016 (Consist of 7 Articles) Vol. 1 No. 1 (2015): November 2015 (Consist of 9 Articles) Vol 1, No 1 (2015): Oktober More Issue