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ELINVO (Electronics, Informatics, and Vocational Education)
ISSN : 25806424     EISSN : 24772399     DOI : 10.21831
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.
Articles 247 Documents
Optimizing "Open Data Jawa Tengah" through Technology Acceptance Model (TAM) Muaafii, Yasykur Hisyam; Priyanto, Priyanto
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 1 (2024): Mei 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.v9i1.67506

Abstract

The Central Java Provincial Government has implemented the "Open Data Jateng" system since 2019 for public services. Open Data is part of the application of big data, and the system does not yet have evidence to meet data needs. So, an explanatory method of research was conducted using a prediction study. The research variables are based on the development of the Technology Acceptance Model (TAM) theory and the 3Q model theory. 130 respondents from the ex-Karesidenan of Semarang City filled out 21 statements, then tested through Partial Least Square - Structural Equation Modeling (PLS-SEM). The result is that there is the highest relationship in the TAM variable, namely: the influence of the perceived usefulness variable on the behavioral intention to use variable is 42.5%, with the predictive power of increasing the two variables to 75.2% if there is treatment/policy. The relationship between TAM variables and the 3Q model was found, such as the effect between the information quality variable and perceived usefulness was 13.3%, which has a low level of influence. Although low, the predictive power is also high at 65.4% if there is a treatment or policy that supports the information quality variable. The study concluded that the optimization of Open Data Jateng can be through policy support in order to improve the quality of information.
Design and Development of Industrial Practice Monitoring and Assessment Systems using Tsukamoto Fuzzy Logic Pahtoni, Tri Yuli; Arifin, Fatchul
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 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.v8i2.57669

Abstract

Vocational high schools are given flexibility for their students to carry out direct learning in the industry as part of the practical education activities of implementing student skills. The implementation of industrial practice requires a special way to find out and monitor each student's activities so that the achievements of the implementation of industrial practice can be carried out properly.  The implementation of industrial work practice assessment has several assessment criteria. These criteria include attendance, neatness, attitude, skills, and knowledge. The problems found in the assessment system are still done manually so that the effectiveness is minimal. This study aims to create a system that can monitor and assess the implementation of industrial practices.  The system developed will be tested as a medium for monitoring and assessing industrial practices.  This research uses Fuzzy Tsukamoto's logic approach as a scoring logic  model and  uses the waterfall method as a development model consisting of analysis, design, coding, and testing. The results of the research conducted resulted in a system that can monitor and assess the implementation of industry practices.  The test was carried out by 24 people consisting of guidance teachers and students. Testing is done by testing aspects of functionality and aspects of usability. Based on the test results, the functionality aspect scored 100% (very feasible) and the usage aspect got a score of 84.8% (very feasible)
Low-Cost Vehicle Security System Using Location Change and Vehicle Status Based on Internet of Things Afandi, Mas Aly; Purnama, Sevia Indah; Wibisono, Gunawan
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 1 (2024): Mei 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.v9i1.65951

Abstract

Motor vehicle theft is a crime that can potentially harm the owner of the vehicle. This crime should be anticipated, and a security system should be implemented to avoid vehicle theft. Research about vehicle security systems has run into an uptrend. Previous research has already developed security system devices for vehicles with many peripherals. This study aims to develop a new low-cost vehicle security device with location change calculation to cut unused peripherals. The proposed device has a logic checker, horn controller, and vehicle controller as security systems. According to the testing result, the device can detect the vehicle status from off to on while the security system is active. The device will turn on the horn and turn the vehicle off. This function always works at 100%. This device also detects theft according to the location change. This feature works at a 100% rate, with an average error reading location of 4,83m and an average error distance calculation of 0,91m. This distance is tolerable because the owner can still see the vehicle. This research result proves that the device can be used to secure the vehicle. This device's performance will increase if placed outside the building. The data was also successfully sent to the IoT platform without data loss or incomplete data. Compared with other research, the proposed device has fewer peripherals with the same or more security features.
Decision Support System for Major Selection in Higher Education for Multimedia Graduate Students using Fuzzy Mamdani Logic Fauziah, Khasna Nur; Arifin, Fatchul
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 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.v8i2.57643

Abstract

Students at the vocational high school level are indeed prepared to be able to work directly, but it does not rule out the possibility that vocational high school students can continue higher education such as universities. But the problem that will be faced again if students who graduate from vocational high schools choose to continue their education in college is what major they will take. One of the vocational high school majors, namely Multimedia, has a wide scope, so grade 3 vocational high school students who want to go to college have a dilemma in deciding on a major. This research applies the fuzzy logic mamdani to help make decisions for majors in higher education. This study is based on 5 input parameters, namely Komputer dan Jaringan Dasar, Desain Grafis Percetakan, Dasar Desain Grafis, Teknik Audio Visual, and Animasi. There are outputs of 5 majors in Teknik Komputer, Desain Komunikasi Visual, Animasi, TV dan Film, and Fotografi. The results of this research can make it easier and can provide support for grade 3 vocational high school students, especially the Multimedia department in choosing a major in higher education. The results of the decision support system with the highest student score data in Animasi will appear a recommendation score of 79.8 in the Animasi department, and on the highest student score data on the Komputer dan Jaringan Dasar, a recommendation score of 79.8 will appear in the Teknik Komputer major in accordance with the major taken and lived by the current student.
Differences in Software Usability Level Based on User Background Sholeh, Abdur Rohman; Fatwanto, Agung
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 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.v8i2.54255

Abstract

The development of software must consider usability as one of its key success indicators. Relatively few studies discuss the factors influencing usability, including users' backgrounds. The purpose of this research was to investigate the impact of user background, specifically gender, class (year of college admission), and frequency of use on the rating of usability.  This research utilized a descriptive quantitative method with instruments: the usability matrix of the Computer System Usability Questionnaire (CSUQ), the System Usability Scale (SUS), the Usability Metric for User Experience (UMUX), and the Net Promoter Score (NPS). The research object was the Learning Management System (LMS) of two state universities in Yogyakarta. Two sets of questionnaire responses were obtained: 305 men and 442 women answered the first time, and 280 men and 584 women answered the second time. Our result shows that the mean value of usability level from CSUQ, SUS, UMUX, and NPS is mostly higher in female than male respondents, in junior to more senior students, and in respondents who use the system more frequently than those who use it less.  This trend was consistent, even though the sequence of questionnaire choice order was reversed between the first and second data collection at the two universities. This research hence concluded that, based on gender, women tend to offer a higher rating of usability than men; based on class, the younger generation tends to provide higher ratings of usability than the older generation, and users who use the system more frequently tend to give higher usability rating than those who less use it.
Performance Analysis of EMG Signal Classification Methods for Hand Gesture Recognition in Stroke Rehabilitation Winursito, Anggun; Arifin, Fatchul; Muslikhin, Muslikhin; Artanto, Herjuna; Caryn, Femilia Hardina
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 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.v8i2.76811

Abstract

This study evaluates the performance of different classification methods in classifying healthy individuals and stroke patients. The hand gesture variations of the subjects were also analyzed based on electromyography (EMG) signals. Several classification methods were tested in this analysis to find out which method had the most suitable performance. The results showed that Decision Tree and Naive Bayes classifiers achieved the highest performance in classifying EMG signals from healthy individuals and stroke patients, with both methods showing high accuracy, precision, recall, and F1 score. Specifically, Decision Tree excelled in overall accuracy and recall, while Naive Bayes showed superior precision. For hand gesture recognition, SVM, KNN, and Random Forest classifiers showed similarly high performance, achieving accuracy, precision, recall, and F1 score above 82%. Naive Bayes also performed well, especially in precision, while Decision Tree performed poorly compared to other methods. This insight can form the basis for the development of more effective and personalized rehabilitation systems for stroke patients, by utilizing reliable and accurate EMG signal classification
Exploring the Factors Affecting the Student's Acceptance of Using IAIN Ponorogo E-Learning through the UTAUT Model Nabila, Rahma; Priyanto, Priyanto; Shiddiq, Jamaluddin
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 1 (2024): Mei 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.v9i1.67427

Abstract

This study aims to analyze the factors affecting the student's acceptance of e-learning IAIN Ponorogo through the UTAUT model, which consists of four primary constructs: performance expectancy, effort expectancy, social influences, and facilitating conditions. Those constructs are influenced strongly by moderating variables, which include age, gender, experience, and volunteerism of use. This model will be used to analyze the e-learning system of IAIN Ponorogo based on LMS Moodle version 1.9.15 with slight modifications. The research type is quantitative-explanative research. The subjects are students of IAIN Ponorogo, with 400 respondents as a sample from a total population of 8112 students using a stratified random sampling technique. Data was collected from the results of a closed questionnaire and analyzed by the Partial Least Square (PLS) method with WarpPLS software, which consists of three steps: the design of the inner model, the outer model, and the evaluation of the model. The findings indicated that: (1) Facilitating condition factors have a positive and insignificant effect on students' behavior with a parameter coefficient value of 0.7% and a p-value greater than 5%; (2) The interest in use factor has a positive and significant effect on the use behavior of students with a parameter coefficient value of 0.735 and a p-value greater than 5%.
Development of Interactive Learning Multimedia by Applying Contextual Teaching and Learning for Basic Graphic Design Subjects Ayuriyanti, Siswi Dwi; Surjono, Herman Dwi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 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.v8i2.56128

Abstract

The objectives of this study were to 1) create interactive learning multimedia materials by incorporating contextual teaching and learning to aid students in understanding graphic design topics for class X, 2) examine the viability of interactive learning multimedia by incorporating contextual teaching and learning to fundamental design subjects, and 3) assess the efficacy of using interactive learning multimedia by incorporating contextual teaching and learning. The three stages of this research's development-planning, design, and development are based on the Alessi and Trollip model. A total of 36 students from class X Multimedia 2 at SMK N 2 Sewon served as the research participants, while X Multimedia 1 served as the control group. gathering information through observation, questionnaires, learning product assessments, and learning accomplishment tests the findings revealed that: 1) Multimedia interactive learning materials for the foundational subject of graphic design in class X multimedia semester 2 at SMK N 2 Sewon were prepared. 2) Students (87.77%; "extremely feasible"), media professionals (94.18%), and material specialists (84.16%) rate the viability of learning media. (3) When contextual teaching and learning are applied, interactive learning media are said to be quite successful at improving student learning results.
Computational Thinking Skills Theorization in The Vocational High School Computer Programming Subject Context Herlambang, Admaja Dwi; Rachmadi, Aditya
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 1 (2024): Mei 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.v9i1.64501

Abstract

The purpose of the study is to compile concepts related to computational thinking skills in the context of computer programming subject. The research design used is data theorization (grounded theory) with open coding and axial coding data analysis techniques. Three types of data collection protocols are used: interview protocols, observation protocols, and recording protocols. The characteristics informants used are students who have experience learning computer programming in the vocational high school. The research produced several concepts, namely the problem concept, which then gave rise to the computational thinking skills concept. The problem concept consists of three sub-concepts: the common problem sub-concept, the medium problem sub-concept, and the high problem sub-concept. The concept of computational thinking skills is a set of skills required in the problem-solving process in computer programming. Computational thinking is not just a thought process but an expression of skills that others can observe. In the computer programming subject context, two concepts influence the process of mastering computational thinking skills: the guidance strategies concept and the information sources concept. The concept of success becomes a mediator in developing computational thinking skills. The theory produced in this study can be used as a basis for conducting research with quantitative designs related to deductive proof of the theory.
Salt Sales Prediction Using the Moving Average Method (A Case Study of Madura-Indonesia Salt) Syakur, Muhammad Ali; Negara, Yudha Dwi Putra; Rachmad, Aeri; Rochman, Eka Mala Sari
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 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.v8i2.56279

Abstract

Forecasting is a term used to forecast or predict the business that we run to see the direction in the future which uses historical data as the main reference. An appropriate strategy is needed to manage the production of salt raw materials properly, namely through sales forecasting. PT Budiono Madura Bangun Persada is a company engaged in salt processing with the brands "Anak pintar (AP)" and "Kapal Container (KC)" where the amount of production experiences uncertainty, namely an increase or decrease, this results in an uncertain amount of raw materials. This study aims to predict the exact amount of salt production in a certain period. The amount of data used is the period November 2020 - April 2021 as much as. The final result of this forecasting model is the best using predictions on day 6 for both AP salt and KC salt, with an MSE value of 290.71 for KC salt and an MSE value of 843.08 for AP salt