cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ana Tsalitsatun Ni'mah
Contact Email
edutic@trunojoyo.ac.id
Phone
+6285366622280
Journal Mail Official
edutic@trunojoyo.ac.id
Editorial Address
Program Studi Pendidikan Informatika Universitas Trunojoyo Madura Jl.Raya Telang Kamal, Bangkalan, 69192, Jawa Timur Telp. (031) 30127924
Location
Kab. bangkalan,
Jawa timur
INDONESIA
Jurnal Ilmiah Edutic : Pendidikan dan Informatika
Published by Universitas Trunojoyo Madura
ISSN : 24074489     EISSN : 25287303     DOI : https://doi.org/10.21107/edutic
Core Subject : Science, Education,
Computer Science & IT Education
Jurnal Ilmiah Edutic Pendidikan dan Informatika is a journal published by the Informatics Education Study Program, Universitas Trunojoyo Madura. Eductic contains publications on the results of thoughts and research in the field of education and information technology. Eductic is published twice a year, namely in May and November. FOCUS & SCOPE Edutic scientific journals focus, but are not limited to, articles within the scope of Education and Informatics. Therefore Edutic will only process and publish articles submitted in the areas of: Informatics Education (E-Learning, Multimedia Education, Vocational Learning Media, Vocational Education Psychology, Vocational Learning Strategies, Vocational Learning Theory, Vocational Learning Models, Vocational Learning Methods, Vocational Teaching Approaches, Vocational Learning Evaluation, Vocational Learning Planning). Informatics (Information Systems, Data Mining, Computer Networks, Database Systems, Electronics, Image Processing, Gaming Technology, Artificial Intelligence, Information Retrieval Systems)
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 225 Documents
 19   20   21   22   23 
Analyzing the Influence of Academic Competence and Soft Skills on Vocational Students’ Work Readiness Using Regression and Machine Learning Approaches Candra Surya; Erliza Yubarda; Kiki Ameliza; Wakhinudin Simatupang; Muhammad Anwar
EDUTIC Vol 13, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i1.34221

Abstract

This study examines the influence of academic competence and soft skills on vocational high school students’ work readiness by integrating multiple linear regression and machine learning classification approaches. A quantitative method was applied using data collected from 90 final-year students. Statistical analyses included descriptive statistics, classical assumption testing, and multiple linear regression. Additionally, machine learning models Decision Tree, Naive Bayes, and Support Vector Machine (SVM) were employed to classify students’ work readiness levels. The dataset was divided into training (70%) and testing (30%) subsets, and model performance was evaluated using accuracy, precision, recall, and F1-score. The results show that academic competence (p = 0.000) and soft skills (p = 0.006) significantly influence work readiness, with R² = 0.348. The SVM model achieved the highest accuracy (85.56%). These findings demonstrate that integrating statistical and machine learning approaches provides both explanatory and predictive insights.
Improving Students' Mathematical Representation Skills through a STEM-Integrated Problem-Based Learning (PBL) Model on Inverse Proportionality Material Mastri Angely Br. Sitanggang; Najwa Azzahra; Sevrianna Simarmata; Tiara Rezeki Simamora; Anisah Larasati; Gavrila Nathania; Kholishoh Humairoh Lubis
EDUTIC Vol 13, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i1.34548

Abstract

This study aims to determine the improvement of students’ mathematical representation ability after the implementation of the STEM-integrated Problem Based Learning (PBL) model on inverse proportion material. This study employed a quantitative approach with a pre-experimental design using the One Group Pretest–Posttest Design. The research subjects consisted of 28 seventh-grade students of Amir Hamzah National Education Junior High School. The research instrument was a descriptive test of mathematical representation ability administered before and after the treatment. The data were analyzed using descriptive statistics, inferential statistics, and N-Gain analysis. The results showed that the average pretest score increased from 9.29 to 28.93 in the posttest after the implementation of the STEM-integrated PBL model. In addition, the average N-Gain score obtained was 0.28, which was categorized as low improvement. The results of the paired sample t-test also indicated a significant difference between students’ pretest and posttest scores after the treatment (p 0.05). These findings indicate that the STEM-integrated PBL model had a positive effect on students’ mathematical representation ability. The improvement was reflected in students’ ability to present mathematical ideas visually, symbolically, and verbally after participating in the learning process. In addition, the STEM-integrated PBL model encouraged students to be more active in discussions, collaboration, and solving contextual problems, making learning more meaningful. Therefore, the STEM-integrated PBL model can be used as an alternative mathematics learning model that is active and student-centered.
Development of A Web-Based Information System for BUMDes eMHa in Melirang Village, Indonesia Awwalur Rohmah Cahyaningati; Saffana Assani'; Muhamad Afif Effindi; Taufiqur Rohman
EDUTIC Vol 13, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i1.34270

Abstract

Indonesia’s village-Owned Enterprises (BUMDes) play a strategic role in managing local resources to enhance the economic welfare of rural communities. However, limited access to information has led to low public awareness of their existence, business units, and development. This study aims to design and develop a web-based information system for the Melirang Hebat Village-Owned Enterprise (SIM BUMDes eMHa) as an effective medium for information dissemination and communication. The system was developed using the System Development Life Cycle (SDLC) with the Waterfall model, encompassing requirement analysis, system design, implementation, and testing. The results demonstrate that the proposed system is capable of delivering integrated information on organizational profiles, business units, news, and partnerships. Functional testing showed that all core features operated successfully according to the specified requirements. In addition, the system improved information accessibility and supported more efficient dissemination of BUMDes-related information to the community. The implementation of this system contributes to enhancing transparency, improving information accessibility, and fostering community participation in BUMDes development.
Development of Articulate Storyline-Based Interactive Learning Multimedia for Grade VII Informatics Subjects at SMP Negeri 46 OKU Indah Sari; Yamanto Isa; Heni Rita Susila
EDUTIC Vol 13, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i1.34551

Abstract

This study aimed to develop interactive learning multimedia based on Articulate Storyline for seventh-grade Informatics subjects at SMP Negeri 46 OKU and to determine the feasibility of the developed media. The research employed the Research and Development (RD) method using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The research subjects included material experts, instructional design experts, media experts, and seventh-grade students. Data collection techniques were conducted through observation, interviews, and questionnaires. The results showed that the developed learning multimedia obtained validation scores of 86% from material experts, 84% from instructional design experts, and 84% from media experts, all categorized as good. In addition, the student trial results obtained percentages of 80% in the one-to-one evaluation, 80% in the small group evaluation, and 83% in the field test, indicating that the developed multimedia was feasible for use in the learning process. Therefore, the interactive learning multimedia based on Articulate Storyline can be used as an effective and innovative learning medium to improve students’ interest, motivation, and understanding in Informatics learning.
Development of a Web-Based Application for Predicting Stroke Patient Emergency Levels Using the Naïve Bayes Algorithm Nurul Abdillah; Oki Dahwanu; Hamzah Alghifari; Niko Akbar
EDUTIC Vol 13, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i1.34303

Abstract

Stroke is a serious disease that requires prompt and appropriate treatment; therefore, determining the level of patient Emenrgency Levels is critically important. This study aims to develop a web-based application for predicting the Emenrgency Levels level of stroke patients using the Naïve Bayes algorithm as a classification method. The research data were obtained from the medical records of stroke patients at RSUP Dr. M. Djamil Padang during March and April 2025, with a total of 222 data samples. The attributes used in this study include age, gender, address, length of stay, ward class, BPJS insurance membership status, and comorbidities, with Emenrgency Levels status as the class attribute classified into Emenrgency and non-Emenrgency. The application was developed as a web-based system to facilitate easy access for medical personnel in utilizing the prediction system. The experimental results indicate that the Naïve Bayes algorithm achieved an accuracy of 77.48% with an error rate of 22.52%. The findings of this study are expected to assist medical personnel in supporting faster and more objective decision-making regarding the Emenrgency Levels level of stroke patients.

Page 23 of 23 | Total Record : 225

 19   20   21   22   23 

Filter by Year

2014 2026


Reset
Filter By Issues
All Issue Vol 13, No 2: 2026 In Progress Vol 13, No 1: 2026 Vol 12, No 2: 2025 Vol 12, No 1: 2025 Vol 11, No 1: 2024 Vol 11, No 1: November 2024 Vol 10, No 2: Mei 2024 Vol 10, No 1: November 2023 Vol 9, No 2: Mei 2023 Vol 9, No 1 (2022): November 2022 Vol 8, No 2 (2022): MEI 2022 Vol 8, No 1 (2021): NOVEMBER 2021 Vol 7, No 2 (2021): MEI 2021 Vol 7, No 1 (2020): NOVEMBER 2020 Vol 6, No 2 (2020): MEI 2020 Vol 6, No 1 (2019): NOVEMBER 2019 Vol 5, No 2 (2019): MEI 2019 Vol 5, No 1 (2018): NOVEMBER 2018 Vol 4, No 2 (2018): MEI 2018 Vol 4, No 1 (2017): NOVEMBER 2017 Vol 3, No 2 (2017): MEI 2017 Vol 3, No 1 (2016): NOVEMBER 2016 Vol 2, No 2 (2016): MEI 2016 Vol 2, No 1 (2015): NOVEMBER 2015 Vol 1, No 2 (2015): MEI 2015 Vol 1, No 1 (2014): NOVEMBER More Issue