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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 239 Documents
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Analyzing the Impact of Academic and Financial Factors on the Employment Prosperity of Engineering Graduates: A Case Study from Universitas Negeri Yogyakarta Indrihapsari, Yuniar; Luthfi, Muhammad Irfan; Ardy, Satya Adhiyaksa; Shittu, Abdul Jaleel Kehinde
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 2 (2024): November 2024
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.v9i2.77111

Abstract

The rapid technological advancements and evolving job markets present a pressing need to understand how academic experiences shape the career outcomes of engineering graduates. This understanding is crucial for educational institutions aiming to align their curricula with industry demands and for graduates seeking to maximize their career prospects. Notably, the role of financial support, academic performance, and early career experiences in influencing graduate prosperity remains underexplored. This study aims to analyze the correlation between finance support, GPA, study period, job waiting times, salary details, and the prosperity of graduates from the Faculty of Engineering at Universitas Negeri Yogyakarta. The prosperity of graduates is defined as earning wages equal to or exceeding the Indonesian minimum average wage. Using data from a tracer study questionnaire, the research employed logistic regression and correlation analysis to investigate these relationships. The data underwent several stages of filtering, resulting in a refined dataset of 70 records for analysis. This study used SPSS software for statistical analysis, focusing on descriptive statistics, correlation, and logistic regression models. The results highlighted significant predictors of graduate prosperity, including GPA and types of financial support, while illustrating the limited predictive power of early career experiences on long-term earnings. The study also indicated that extended study periods do not necessarily correlate with higher wages. In conclusion, the study underscores the importance of targeted educational strategies and student support systems that are responsive to the dynamics of the job market, enhancing the readiness and prosperity of engineering graduates.
Analysis of Odor and Color Parameters in the Meat Freshness Detection System Using Gas Sensor and Reaction Kinetics Methods Arifani, Erlina Nur; Purnama, Sevia Indah; Afandy, Mas Aly; Kurnianto, Danny Kurnianto; Latifasari, Nurul Latifasari
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.77601

Abstract

The degradation of beef is typically indicated by the presence of   NH3 as ammonia and H2S as hydrogen sulfide. The NH3 and H2S level will increase in line with the meat spoilage. This research is aims to develop the new meat storage with NH3 and H2S level measurement to detect spoilage in beef. This measurement is needed to make sure the meat that are store is still in good condition or already spoil. Kinetic model of NH3 and H2S gas is used to determine the correlation between meat spoilage with time. This equipment has main parts that consist of sensor system microcontroller and computer. The MQ 137 works as detector of NH3 gas which are emitted by sample of beefs during observation. The MQ – 136 sensor works as detector of H2S gas. This research also analyzes the color change in beef spoilage. The data of meat storage develop in this research shows that it can properly measure NH3 and H2S gases that occur during the gas evolution process. The color of the meat also changes while the meat spoilage starts. The rate constants of change of H2S and NH3 follow the zero-order kinetics of H2S and NH3 with constant rates of 0.90 and 0.95, respectively. This result shows that time highly correlated with the spoilage meat.
Investigating Computational Thinking in K–12 Visual Programming Activities on Code.org: A Brennan-Resnick Framework Approach Budiyanto, Cucuk Wawan; Fenyvesi, Kristof; Maharani, Yustika Indah; Yuana, Rosihan Ari; Nashiroh, Putri Khoirin; Latifah, Rizka
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.78486

Abstract

Global interest in Computational Thinking and learning to code has increased. Teaching elementary school students to code and develop computational thinking is a crucial skill for the 21st century. Code.org or Scratch are increasingly used by researchers and educators to evaluate the best practices in digital environment. Such an understanding leads to the urgency to investigate how the block-based programming environment contributes to the development of Computational Thinking and how the development takes place for K-12 students. This research departed from the previous study on the use of Brennan and Resnick framework to evaluate the development of Computational Thinking in various literature on visual programming. Employed a qualitative design, the research investigates K-12 students' response to the activity. The portfolio, then, analyzed using the Brennan and Resnick Framework for Computational Thinking development. The results demonstrated that six of the seven computational concepts could be taught in 10 stages using the “Dance Party” task. Work on the animation project in the tenth stage of “Dance Party” has well-prepared the four computational practices projects. This has a great deal to do with the student's ability to question perspective, as young people do not perceive a disconnect between the surrounding technology and their ability to negotiate reality.
Enhancing Collaborative Teaching Through Developing Website-Based Learning Materials for Lecturers at Makassar Aviation Polytechnic Sukarwoto; Rifai, Moch.; Fudholi, Ahmad; Rusman, Rusman; Prasetyo, Heru; Burhanuddin, Fachrurrazi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.77716

Abstract

This study aims to develop a website-based Learning Material Collaboration System (LMCS) for lecturers at Makassar Aviation Polytechnic. The system is designed to facilitate online collaboration in preparing teaching materials, ultimately enhancing the overall quality of learning using the waterfall method. Currently, teaching materials at the institution are independently prepared by the lecturers responsible for their respective courses, which results in non-standardized materials and limited collaboration between lecturers, practitioners, and cadets. The resulting materials are more comprehensive and sustainable through collaborative efforts in preparing teaching materials. The application requires lecturers to create an account, ensuring only authorized individuals can contribute and compile the teaching materials. This study proposes a collaborative platform that allows teaching materials to be prepared online to improve the effectiveness of learning and the quality of teaching materials. The LMCS application was tested to evaluate its reliability, efficiency, and effectiveness. The test results showed that the application effectively supported the collaboration of teaching materials, although some obstacles remained in managing cadet groups. Based on usability testing conducted with 10 participants, the application was user-friendly, with most testers successfully completing nearly all tasks. Analysis of the questionnaire using a Likert scale revealed positive user feedback, with the ease of use aspect scoring 82.6% and usability achieving a high score of 87.3%. Users felt that the application accelerated and facilitated the collaboration of teaching materials among lecturers and improved operational efficiency. However, for further development, training on the application and improvements to the user interface (UI/UX) are needed to ensure optimal use by all levels of users. The results of this study are expected to contribute to improving the quality of teaching materials and institutional accreditation at Makassar Aviation Polytechnic.
Sentiment Analysis of Cooking Oil Prices in Indonesia Using the Long Short-Term Memory Method Mulyani, Evi Dewi Sri; Hidayat, Cepi Rahmat; Mufizar, Teuku; Sundari, Shinta Siti; Anwar, Dede Syahrul; Ruuhwan; Ma'ruf, Jamal; Kasyfurrahman, M. Akbar
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.73972

Abstract

The policy that was intensively discussed from early January to March 2022 was related to the setting and lifting of the Highest Retail Price for cooking oil, which was proven by the busy news on television, print media and social media. Many responses or speculations arise as a result of this policy. The importance of research on public speculation or sentiment analysis is to create a system model and find out how the public responds to government policy after the Highest Retail Price for cooking oil is determined and revoked, which ranges from February 4 to March 31 2022, as a benchmark and material. government considerations in making policy. The data that was collected in the period after the Maximum Retail Price (MRP) was set amounted to 904 datasets, and after the repeal of the MRP, it amounted to 874. Research can function as a basis for completing important information to support public policy decisions. The data is trained to obtain an optimal model and can predict sentiment with the Long Short-Term Memory (LSTM) model. To get the best model, random parameter testing was carried out using 80% of the training data and 20% of the validation dataset. The test results in fairly good accuracy with the softmax activation function, with an accuracy of 82.34%.
Developing the Integrated Control Systems Media for Enhancing the Electrification Competency of Electric Railway Drive Ervani, Rizqi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.78039

Abstract

This study aimed to determine the operation of the integrated control media for the traction system in electric railway drives at the Polytechnic, to assess the feasibility of the integrated control media for the traction system, and to produce an effective integrated control media for the traction system that can be used to increase the electrification competence of electric railway drives. This study was conducted using a development research approach, employing the RAD (Rapid Application Development) and ASSURE methods. The subjects of this study were 39 students from the Madiun State Polytechnic Railway. Data was collected using observation sheets, interview sheets, media questionnaires, module questionnaires, and tests. Validation of the questionnaire instrument was carried out using Aiken's-V formula and Pearson Product-Moment correlation, while the reliability test of the test instrument used Cronbach's Alpha. The validity coefficient of the material and media questionnaire instrument falls into the category of "Feasible". The data was analyzed in combination, where the qualitative data were carried out using Huberman's steps, and the quantitative data were descriptive, the Wilcoxon test, and the Gain Score value. The results of this study can be stated that the operation of the integrated control media for the traction system in electric train (EMU) drivers at the Polytechnic is "Very Feasible", the feasibility of the integrated control media for the traction system is "Very Feasible" with a significance of 0.00. The final results are applications and teaching modules for traction systems used as learning support during the railway electrical engine practicum at the Madiun State Polytechnic Railway.
Optimizing 4-ary Huffman Trees and Normalizing Binary Code Structures to Minimize Redundancy and Level Reduction Hidayat, Tonny; Kurniawan , Hendra; Mustopa , Ali; Kuswanto, Jeki
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.78722

Abstract

Since the present data expansion and increase are occurring at an increasingly rapid pace, the solution of adding storage space is not sustainable in the long run. The growing need for storage media can be addressed with lossless compression, which reduces stored data while allowing complete restoration. Huffman remains a potent method for data compression, functioning as a "back end" process and serving as the foundational algorithm in applications, among others, Monkey's PKZIP, WinZip, 7-Zip, and Monkey's Audio. Lossless compression of 16-bit audio requires binary structure adjustments to balance speed and optimal compression ratio. The use of a 4-ary Huffman tree (4-ary) branching procedure to generate binary code generation and to insert a maximum of 2 dummy data symbol variables that are given a binary value of 0 with the condition that if the number of MOD 3 data variables = remaining 2, then two dummy data are added, if the result is the remainder 0 = 1 dummy data, and if the remainder = 1 then it is not required. This process effectively maintains a high ratio level while speeding up the 4-ary Huffman code algorithm's performance in compression time. The results show that the efficiency reaches 95.94%, the ratio is 38%, and the comparison is 1/3 of the Level based on calculations, testing, and comparison with other generations of the Huffman code. The 4-ary algorithm significantly optimizes archived data storage, reducing redundancy to 0.124 and achieving an entropy value of 2.91 across various data types.
Solar-Powered Organic Leaves Waste Shredder Machine with IoT-Based Monitoring Integration Hafidz, Isa; Wednestwo Samuel, Gilbert; Jose Anto Kurniawan, Christian; Alfattah, Hernadimas; Dwi Putranto, Rifki
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.82364

Abstract

Organic waste management relying on conventional nonrenewable energy, which produces significant carbon emissions, poses challenges to environmental pollution. A shift to sustainable waste management practices prioritizing renewable energy sources and reducing greenhouse gas emissions is needed. This study aims to design and develop a prototype of an organic waste shredder powered by solar panels, integrating IoT technology to address the environmental impact of traditional shredding methods. The solar-powered shredder is portable and addresses challenges in processing organic waste, especially dry leaves, while promoting renewable energy use in composting. The portable machine operates with a 30-watt, 12-volt DC motor, achieving a maximum speed of 3500 RPM, and features a Blynk-based monitoring system for real-time control and data analysis. Key sensors, including the INA219 and load cell, demonstrate low error rates. The shredder processes various leaf types, with production capacities of 23.96 kg/hour for grape leaves, 20.18 kg/hour for ketapang leaves, 19.93 kg/hour for cherry leaves, and 21.6 kg/hour for mango leaves, achieving 93.09% and 95.17%. The portable power station fully charges in 15 hours and provides up to 18 hours of continuous power. The Blynk application monitors and controls the system within a 9-meter range before disconnection. By integrating solar energy and IoT technology, this device offers a sustainable alternative to traditional shredding methods, reducing carbon emissions and promoting environmentally friendly waste management practices.
The Analysis of the Implementation Factors of the Platform Merdeka Mengajar (PMM) Using the Human Organization Technology (Hot) Fit Models Triastuti, Heni; Priyanto
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025 (In Press)
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.v10i1.82503

Abstract

Platform Merdeka Mengajar (PMM) has not been utilized optimally as a medium for learning, sharing, innovating and inspiring. There are still cases of teachers who have not completed training and real action on the independent teaching platform. This research aims to obtain the highest and lowest values for factors inhibiting the success of implementing the Merdeka Mengajar Platform (PMM) in Sleman Regency based on the HOT Fit Models. The research used the Human Organization Technology Fit Model approach. The research was conducted using a sample of 100 teachers consisting of 6 kindergarten teachers, 6 elementary school teachers, and 88 junior high school teachers who are under the auspices of the Sleman Regency Education Office. In this study, data analysis was carried out using SmartPLS software version 3.2.9. The results of the research explained that system quality (t count 0.598 < t table 2.23) did not have a significant impact on system use; system quality (t count 1.197 < t table 2.23) does not have a significant impact on user satisfaction; information quality (t count 1.146 < t table 2.23) does not have a significant impact on system use; information quality (t count 5.057 > t table 2.23) has a significant impact on user satisfaction; service quality (t count 0.683 < t table 2.23) does not have a significant impact on system use; service quality (t count 0.251 < t table 2.23) has no significant impact on user satisfaction; user satisfaction (t count 3.434 > t table 2.23) has a significant impact on system use; user satisfaction (t count 2.993 > t table 2.23) has a significant impact on net benefit; system use (t count 1.557 < t table 2.23) does not have a significant impact on net benefit; organizational structure (t count 13.422 > t table 2.23) has a significant impact on the organizational environment; organizational structure (t count 0.564 < t table 2.23) does not have a significant impact on net benefits; organizational environment (t count 2.291 > t table 2.23) has a significant impact on net benefits. Based on these results, it can be concluded that the highest value that influences the implementation of the independent teaching platform is organizational structure on the organizational environment, while the lowest value is service quality on user satisfaction, respectively, with a t-count of 13.422 and 0.251.

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