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Roni Herdianto
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Letters in Information Technology Education (LITE)
Published by Universitas Negeri Malang
ISSN : -     EISSN : 26545667     DOI : 10.17977
Core Subject : Education,
Education
Letters in Information Technology Education is an open access peer-reviewed international journal that publishes scholarly articles on the teaching and learning about information technology. This includes using technology to enhance learning, to support teaching and teaching administration. In addition, articles with a sound underpinning of pedagogical principles on the teaching of information technology are most welcome. The journal publishes conceptual, theoretical and empirical papers biannually.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol 7, No 2 (2024)" : 7 Documents clear
Improving Urban Air Quality Prediction Using Bidirectional GRU: A Case Study of CO Concentration to Support Education in Yogyakarta Ordiyasa, I Wayan; Sriwidodo, Sriwidodo; Wiratma, Harits Dwi; Diqi, Mohammad; Hiswati, Marselina Endah; Noverianus, Noverianus; Syihab, Namira Anjani Rahmadina
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p63-69

Abstract

Urban air pollution, particularly carbon monoxide (CO), poses serious health risks, emphasizing the need for accurate prediction models to support real-time monitoring and timely responses. This study explores the use of a Bidirectional Gated Recurrent Unit (Bi-GRU) model to improve CO concentration forecasts, capturing intricate temporal patterns in air quality data. The model, optimized for varying input-output sequences, contributes to advancements in air quality prediction by enhancing accuracy with extended historical data. Using hourly CO data from Yogyakarta, Indonesia, the Bi-GRU model was evaluated across input lengths of 48, 96, and 144 hours with prediction outputs of 24 and 48 hours. Results show high prediction accuracy, with the best performance at 144-hour inputs, achieving an R² of 0.99 and minimal error metrics. These findings underscore the model's reliability and precision in capturing CO fluctuations, making it a promising tool for urban environmental management. This research offers a foundation for further refinement and broader applications in air quality monitoring systems.
Project-Based Learning with Examples Non-Examples to Improve Digital Literacy through Short Movie Ads Erinda, Hayyu; Karina, Anggita Ajeng; Wijaya, Dandi Nurmansyah; Nikma, Irfianninza Risquillia; Yuliono, Gun; Ulum, Miftahul; Widayanti, Erma; Christianto, Yudhi
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study explores the effectiveness of the Project-Based Learning (PjBL) method combined with the Examples Non-Examples approach in enhancing students' digital literacy outcomes through the production of short movie advertisements. In an increasingly digital era, digital literacy has become an essential skill that students must master. PjBL offers a learning approach that actively engages students in real-world projects, while the Examples Non-Examples method provides concrete guidance through both positive and negative examples. This study employs the Classroom Action Research (CAR) model using Kurt Lewin's cycle, involving 36 students from class X.7 at SMAN 8 Malang. Data were collected through observation and documentation studies and analyzed descriptively, both qualitatively and quantitatively. The results indicate that the application of this method significantly improves students' understanding and skills in digital literacy, particularly in video editing, visual composition, and creativity. The study concludes that PjBL with the Examples Non-Examples approach is effective in enhancing students' digital skills and soft skills, and it offers a meaningful contribution to the development of digital learning methods.
Implementation of the Independent Curriculum Using the CIPPO Model at Vocational High Schools in Makassar Mangesa, Riana; Makmur, Elfira; Nurfardhilah, Nurfardhilah
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p%p

Abstract

This study is evaluation research using the CIPPO model, which aims to evaluate the implementation of the Merdeka Curriculum in vocational high schools (SMK) in Makassar, considering four aspects: context, input, process, product, and outcome. The subjects of this study consist of school supervisors, principals, vice principals in charge of curriculum, teachers, and students selected using purposive sampling techniques. Data collection techniques include interviews, questionnaires, and documentation. The data was obtained by distributing questionnaires online through Google Forms. The data analysis technique used is descriptive analysis. The study results indicate that: (1) Context evaluation covering two indicators achieved a percentage of 97 percent, with a criterion of excellent. (2) Input evaluation covering four indicators achieved a percentage of 89 percent, with a criterion of excellent. (3) Process evaluation covering three indicators achieved a percentage of 93 percent, with a criterion of excellent. (4) Product evaluation covering three indicators achieved a percentage of 97 percent, with a criterion of excellent. (5) Outcome evaluation covering three indicators achieved a percentage of 92 percent, with a criterion of excellent. Based on the results of the study, it can be concluded that the evaluation of the implementation of the Merdeka Curriculum in vocational high schools in Makassar is considered excellent.
Students Incubator Business: A Mentorship Program for Creating Promotional Media for Student Micro Businesses Using Canva Karina, Anggita Ajeng; Erinda, Hayyu; Wijaya, Dandi Nurmansyah; Nikma, Irfianinza Risqulia; Yuliono, Gun; Ulum, Miftahul; Widayanti, Erma; Christianto, Yudhi
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p76-80

Abstract

The "Students Incubator Business" program at SMAN 8 Malang aims to enhance students' skills in managing micro businesses by creating effective promotional media using Canva. The program comprises several stages: participant registration, workshops, mentoring, project assessment, and evaluation. A total of 20 students with micro businesses participated in this program, which involved intensive training in graphic design and digital marketing. The results showed increased students' knowledge and skills, mainly using Canva to create attractive promotional media tailored to their target markets. Program evaluation indicated that 80% of participants successfully produced high-quality promotional media, while the rewards effectively boosted students' motivation and confidence. Despite the program's success, ongoing mentorship is needed, particularly in copywriting strategies, to enhance marketing effectiveness further. Overall, this program successfully supported students in developing their micro businesses by improving their digital marketing skills.
Enhancing Student Learning Outcomes Through the Development of Interactive Flipbooks Using Heyzine Akbar, Iqbal Pratama Fajar; Smaragdina, Azhar Ahmad; Gunawan, Agung Wahyu; Nasmansyah, Wiki; Sari, Agista Yuana; Fauziah, Nur; Wardhani, Eka Rachmawati
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p%p

Abstract

This research aims to develop innovative informatics learning media that are relevant to the characteristics of students at SMP Negeri 16 Malang. The background of this research is based on the challenges faced in informatics learning, including low learning motivation and the lack of optimal technology utilization. Interactive flipbooks were chosen as the learning media due to their ability to integrate audio-visual elements and support independent learning. This research employs the Research and Development (R&D) method with the ADDIE model. The analysis stage identifies the needs, curriculum, and student characteristics. The design stage involves structuring the flipbook development framework. The development stage focuses on creating a web-based interactive flipbook and expert validation. The implementation stage is conducted with small and large groups to obtain feedback. The evaluation stage measures the effectiveness of the media and ensures its feasibility. The research results indicate that interactive flipbooks have the potential to increase learning motivation and understanding of informatics concepts.
Development of Web-Based Learning Media Using Problem-Based Learning (PBL) Approach on Scratch Material to Enhance Learning Motivation of Seventh-Grade Junior High School Students Ahmad, Fathul Luthfillah; Nugroho, Azis Luki; Anjarsari, Delvi Dwi; Rahmayanti, Ririn; Ningrum, Gres Dyah Kusuma; Arifin, M. Zainal; Satriyatma, Avo; Cakir, Gulsun Kurubacak
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p80-85

Abstract

The low motivation of students to understand programming material at the junior high school level presents a challenge in informatics education. This study aims to develop web-based learning media using a Problem-Based Learning (PBL) approach on Scratch material to increase the learning motivation of seventh-grade junior high school students. The Research and Development (R&D) methodology used the ADDIE model, encompassing five stages: analysis, design, development, implementation, and evaluation. Data were collected through observations, interviews, and questionnaires using a mixed-methods approach to obtain in-depth and measurable results. The analysis showed that the learning media was highly valid, with a 95.83 percent rating from content experts and 93.84 percent from media experts, and received an excellent response from student trials. Motivation assessments revealed a significant increase in student learning motivation from 72.18 percent (high) before using the media to 87.85 percent (very high) after its implementation. This learning media was positively received by students, deemed engaging, and made it easier for them to grasp fundamental programming concepts. Therefore, the web-based learning media using the PBL approach has proven effective in supporting increased student learning motivation and contributes to the advancement of informatics education in junior high schools.
Enhancing Medical Education with Machine Learning: A Case Study on CKD Detection Using AdaBoost-SVM Erizal, Erizal; Suwarto, Suwarto; Basuki, Umar; Hiswati, Marselina Endah; Diqi, Mohammad; Kristian, Tadem Vergi
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p56-62

Abstract

This study explores the application of the AdaBoost-SVM model for the classification of chronic kidney disease (CKD), addressing the critical need for accurate and early diagnosis in clinical settings. Using a dataset of 400 instances with 25 clinical features, we implemented rigorous data cleaning to remove rows with missing values, ensuring high-quality input data. The AdaBoost-SVM model achieved remarkable performance, with an overall accuracy of 96%. Precision and recall were notably high for both 'ckd' and 'notckd' classes, reflecting the model’s robustness and reliability. These results underscore the potential of hybrid machine learning approaches in medical diagnostics, providing valuable insights into improving CKD detection. Although the study has several limitations, such as a limited dataset and the exclusion of incomplete data, its findings clearly show the model's usefulness and provide a foundation for future research. Future work should focus on larger, more diverse datasets and alternative data handling techniques to enhance the model's applicability and performance. This research highlights the promise of integrating advanced algorithms into clinical decision-making processes, ultimately aiming to improve patient outcomes through early and accurate disease detection.

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