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 239 Documents
 18   19   20   21   22 
Visitor Decision System in Selection of Tourist Sites Based on Hybrid of Chi-Square And K-NN Methods Anamisa, Devie Rosa; Mufarroha, Fifin Ayu; Jauhari, Achmad
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.v8i2.55702

Abstract

Madura Island is one of the islands with a lot of tourism spread over four districts, such as natural, religious, and cultural tourism. And every year, various visitors visit various tourist sites in Madura, so an increase in the number of visitors has been found in multiple places. This is influenced in addition to the type of tourist attraction but also changes in tourist behavior in making decisions to visit tourist objects. Most of the researchers have applied the right decision-making with intelligence-based measurement. However, the accuracy obtained has not yet reached the optimal solution. Therefore, this study uses the Chi-Square and K-Nearest Neighbors (K-NN) methods to recommend tourist attraction locations based on visitor characteristics to increase visitor attractiveness in tourist attractions scattered in Bangkalan, Madura. Chi-Square is used to select features that affect tourist attraction visitor factors by testing the relationship between the variables involved. Meanwhile, K-NN is a method of classifying potential visitor attractions based on their characteristics by using the closest membership calculation, which is the largest from the test data. The calculation is carried out by the square of the Euclidian distance from each object, then sorted from the smallest to the largest value and looking for the value of k as the result of the decision. There are ten features used in the classification, such as tourism type, management services, facilities, gender, age, occupation, education, visitor status, ticket prices, and sales trends. There are three classes classified: low, medium, and high visitor attractiveness. The contribution of this study is to analyze the effect of the characteristics of tourist attraction visitors on increasing visitor attractiveness using the chi-square and K-NN methods. Based on the results of system testing using K-Fold Cross Validation with five folds from 315 datasets, it produces the highest accuracy at k-fold = 3 worth 84.12% with eight selected features.
LoRA Gateway Coverage and Capacity Analysis for Supporting Monitoring Passive Infrastructure Fiber Optic in Urban Area Enriko, I Ketut Agung; Gustiyana, Fikri Nizar; Giri, Gede Chandrayana
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.v8i2.59280

Abstract

In the era of digital transformation, telecommunications infrastructure has become the backbone of global connectivity. Optical Distribution Cabinet (ODC) is a crucial part of an optical network that distributes signals to various points in the network. Maintenance and monitoring of ODCs have become essential to ensure optimal availability and performance. However, conventional approaches are often expensive and difficult to implement. The objective of this study is to develop a LoRaWAN network with the purpose of determining the required number of gateways. Additionally, the research aims to devise an IoT-basedODC device monitoring system within the FTTH network, utilizing data from PT. Telkom Witel Bandung. The approach involves employing simulation techniques through the Atoll apps v 3.40. Multiple calculation stages are applied to expect RSSI and SINR parameters within an area spanning 188.96 km². The study employs a frequency of 920 MHz, a bandwidth of 125 kHz, and a spreading factor of 10. The data analysis includes RSSI and SINR signals. As a result of calculations and planning simulations, this study recommended the use of nine gateways and achieved an RSSI parameter of -70. 35 dBm and a SINR parameter of 17. 33 dBm.
A Machine Learning Model for Local Market Prediction Using RFM Model Yahya, Muhammad; Parenreng, Jumadi Mabe; Fathahillah, Fathahillah; Wahid, Abdul; Wahid, M. Syahid Nur; Fajar B, Muhammad
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.v9i1.58671

Abstract

This study explores the application of machine learning for local market prediction in e-commerce. By leveraging the RFM segmentation method, the model predicts product sales based on user shopping patterns. The RFM score, calculated using recency, frequency, and monetary values of customer purchases, segments customers into distinct categories. The research utilizes a dataset obtained through seven parameters and performs data preprocessing. K-Means clustering then classifies customers into Low, Medium, and High levels based on their RFM scores. Customers in the Low category exhibit low purchase activity but high product browsing. The Medium segment displays consistent purchases of a limited product range. High-level customers demonstrate frequent purchases with significant spending. The identified customer segments enable targeted marketing strategies. For Low-level customers, discounts or product feature promotions can incentivize purchases. Combining product offerings can entice Medium-level customers to explore new products. Finally, High-level customers can be engaged through loyalty programs offering rewards. This approach empowers e-commerce sellers to tailor marketing strategies for each customer segment, enhancing market dominance.
The Determination of A Place of Popular Tourism on The Island of Madura Using Weighted Product (WP) Putro, Sigit Susanto; Rochman, Eka Malasari; Rachmad, Aery
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.v8i2.55693

Abstract

This research explored the diverse aspects of Madura Island, including its cultural, societal, and touristic facets. The primary focus was on developing a recommendation system to identify Madura's most popular tourist destinations. Utilizing the Weighted Product (WP) method, a decision support system model, this study assessed the popularity of various tourist attractions in Madura, aiding tourists in selecting destinations through a multi-criteria weighting process. Key parameters included the number of both foreign and local visitors, proximity to the city center, and visitor ratings. The study encompassed 62 tourist sites across four districts in Madura, evaluating the most popular attractions in each. Findings revealed the top destinations in each district: Bangkalan featured Makam Syeichona Cholil (preference value: 0.113), Sampang showcased Hutan Kera Nepa (0.127), Pamekasan highlighted Batu Ampar (0.171), and Sumenep was known for Makam Asta Tinggi (0.076). This research offered valuable insights for both tourists and stakeholders in the tourism industry of Madura Island.
Revitalizing Widosari Tourism Village: Enhancing User Experience and Service Delivery through Website Interface Redesign Muhtahsin, Dian Amin; Irfan, Rahmatul
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.v9i1.68191

Abstract

Tourism villages play an important role in the development and sustainability of a region by encouraging economic growth, cultural preservation, environmental preservation, and community development. Widosari Tourism Village is one of the tourist villages that attracts many visitors, as can be seen from the significant increase in traffic visiting the promotional website after being declared as a nominee in the Top 50 Indonesian Tourism Village Award 2022 event. However, the increase in traffic visiting the website was not matched by the website's carrying capacity. in providing services and conveying information to tourists. This has an impact on the lack of tour package sales in the Widosari Tourism Village. However, after redesigning the interface, drastic changes occurred, especially in the increase in sales of tour packages. This research was conducted to reveal and tell about the extent of the impact or benefits of a website redesign that is adapted to design principles as it is today compared to before the redesign was carried out. The method used in this research is descriptive qualitative research. In this research, the conclusion was obtained that after the website redesign was carried out, in terms of tourist reservation services, managers and tourists found it easier to communicate and connect, then the information on the website was easier for tourists to understand and capture. So, the presence of the Widosari Tourism Village promotional website functions as a means to facilitate tourism activities in the Widosari Tourism Village.
Using Discovery Learning and Problem-Based Learning to Increase Students' Motivation for Accomplishment Suhada, Sitti; Sunardi, Sunardi; Amali, Lanto Ningrayati; Katili, Muhammad Rifai; Lahinta, Agus; Kilo, Juriah R.
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.v8i2.58612

Abstract

According to initial observations made during the Basics of Computer Network Engineering and Telecommunications course in class X at TKJ SMK Negeri 5 Gorontalo, students were generally still passive and did not participate much in their education, preferring to listen to what their teachers said. This research aims to analyse: (1) the influence of the Problem Based Learning model on students' achievement motivation; (2) the influence of the Discovery learning model on students' achievement motivation; and (3) differences in achievement motivation between classes treated with Problem Based Learning. This study used a Non-equivalent Control Group Design research design in conjunction with a Quantitative Quasi-Experimental research method. This design consists of two groups that are not randomly selected, then given a pre-test to find out whether there are differences between the experimental group and the control group. The analytical test tool used in testing this research is the Paired Sample T-test with the following test results: (1) The Problem Based Learning model influences students' achievement motivation as indicated by the Sig value; (2) the Discovery Learning model influences students' achievement motivation as indicated by the Sig value (2-tailed) of 0.000 < 0.05. These results show that there are differences in the average achievement motivation of students in classes given the Discovery Learning model; and (3) Apart from that, the independent t test showed that there was no difference in achievement motivation between classes given the Problem Based Learning model and classes given the Discovery Learning model.
Implementation of FDSS (Fuzzy Decision Support System) Sugeno Model in Optimizing Bandwidth Requirement Management of Web-Based Networks Lahiya, Indah Wardati; 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.v8i2.57557

Abstract

To increase the efficacy of bandwidth allocation at PT. Digdaya Monokrom Group, this study describes the development of a Fuzzy Decision Support System (FDSS) utilizing the Sugeno methodology. The Waterfall development process is employed for the purposes of system planning, construction, and maintenance. The study consists of three primary stages: the creation of fuzzy sets, the development of fuzzy rules, and the process of defuzzification. The study findings demonstrate that the utilization of FDSS has effectively improved the distribution of bandwidth. The distribution has shifted from a uniform one to a more optimized allocation, focusing on the Execution, Content Creator, Administration, and Research Team departments. During a four-week monitoring period, modifications were implemented to distribute bandwidth based on the preferences and needs of various departments, while adhering to the limitations of the current broadband subscription. This has enhanced the efficient exploitation of network resources. The research findings highlight the efficacy of FDSS in prioritizing resource allocations according to specific departmental requirements, consequently improving service quality and maximizing bandwidth subscription capacity. This demonstrates the implementation of strategic management methodologies to optimize the allocation of network resources, resulting in enhanced organizational efficiency and production.
The Implementation of Occupational Health and Safety Using Zerosicks in Indonesia Vocational Education Ismara, Ketut Ima; Kurniawan, Arie Wibowo; Kasjono, Heru Subaris; Zamtinah, Zamtinah; Mustaqim, Bima; Fathurrahman, Haris Imam Karim; Adnanda, Azka
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.v9i1.60586

Abstract

This study aims to determine (1) the implementation of occupational health and safety (OHS) using the Zerosicks method in vocational education and (2) the significant relationship between each aspect of the countenance stake evaluation model. The model consists of 3 stages: input (Antecedent), process (Transaction), and output. Then, the population in this study involved 727 students with a sample size of 258.03, and this research was conducted in April-June 2021 at the Prambanan Muhammadiyah Vocational High School. Furthermore, the data analysis techniques used were quantitative descriptive and SEM (Structural Equation Modeling). The study findings reveal that (1) the antecedent stage, encompassing environment, hazard, risk, knowledge, and standardization indicators, is evaluated as excellent by teachers and predominantly good by students. In the Transaction stage, focusing on risk management control, solution, implementation, and culture indicators, teachers rate it as good to perfect, while students generally rate it as very good to good. Moreover, the output stage, comprising control and OHS behavior awareness indicators, is deemed outstanding by both teachers and students. (2) The indicators of the model are valid and achievable following the results of the confirmatory factor analysis, and the structure of the theoretical model fulfils the Goodness of Fit criteria for empirical data because it has six criteria. Furthermore, an antecedent has a significant effect on Transaction and OHS Output, while a Transaction has a significant effect on OHS Output.
Machine Learning System Implementation of Education Podcast Recommendations on Spotify Applications Using Content-Based Filtering and TF-IDF Raharjo, Muhammad Mukti; 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.v8i2.58014

Abstract

Spotify, this popular music and podcast streaming service, has a fundamental problem in assisting clients in finding podcasts that fit their interests. Thus, the goal of this project is to develop a podcast recommendation system that would enhance users' capacity to identify pertinent content, particularly in the educational genre. By using content-based filtration techniques, this system analyzes the user's listening preferences and interests before recommending educational podcasts. The podcast data source is Spotify, and the suggestions are produced using the TF-IDF and Cosine Similarity techniques. The recommendations provide a list of educational podcasts catered to the user's specific interests. The Confusion Matrix Classification Report was tested to assess system performance during the review phase. Precision values show how accurate the system was at recommending educational podcasts; on average, they range from 0.52 to 0.74. Additionally, the recall value showed a mean of 0.51 and a mean of 0.79, indicating that the algorithm successfully located the relevant content. To put it briefly, this custom recommendation engine enhances the listening experience for Spotify customers by suggesting educational podcasts based on their preferences. The system's ability to match users with material that aligns with their interests was demonstrated by the metrics used to assess its performance. With more user interactions with the system, it was anticipated by Cosine Similarity, a statistic used to determine the quality of recommendations, will continue to improve. To improve user experience and personalize the podcast listening experience on Spotify, this research addresses the challenge of locating suitable podcasts.
The Role of Teacher in Industry 5.0, Technology, and Social Capital in for Vocational High School Graduates in School-to-Work Transitions Utami, Pipit; Fajaryati, Nuryake; Sudira, Putu; Ismail, Mohd Erfy; Maneetien, Nopadon; Felestin, Felestin
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.v9i1.72485

Abstract

The large number of graduates who lack the skills needed for the workplace makes it difficult for them to find employment. This study aims to analyze the influence of teachers, technology, and social capital in preparing vocational school graduates for their first jobs. Participants came from five districts in Yogyakarta, including state and private VHS with engineering expertise, including 25 teachers and 99 students. The research steps involve conducting literature reviews, focus group discussions, and data collection via questionnaires. The results show that: (1) the stability of choosing a career that is in line with their education for graduates who study further is better than graduates who work or are entrepreneurs; (2) the measurement model showed valid and reliable results: outer loading (0.702 -0.967), AVE ³ 0.5, Cronbach's alpha ³ 0.7, Fornell-Larcker criterion, and HTMT ratio. The structural model using the SRMR is 0.078 (good fit); (3) With p-value 0.000 (sig < 0.05), there is direct significant influence between TCR -> TGR (f2 0.897), TCR -> SCR (f2 0.638) with large effect, and TCR -> STWT (f2 0.310), TGR -> STWT (f2 0.189), SCR -> STWT (f2 0.267) with medium effect and the indirect influence (TCR -> STWT), which is mediated by TGR and SCR. The role of the teacher (TCR) has a significant impact on optimizing the role of technology (TGR) and social capital (SCR) in the STWT effectivity. The role of teachers, technology, and social capital all have significant and medium effects on the STWT smoothness. This is in line with the concept of Industry 5.0, specifically integration. Education in the Industry 5.0 era is dependent not just on the contributors' roles but also on integration.  

Page 20 of 24 | Total Record : 239

 18   19   20   21   22 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol. 10 No. 1 (2025): May 2025 (In Press) 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