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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 5, No 2 (2022)" : 7 Documents clear
Mobile-Based Learning Media Using Open Ended Learning Approaches to Increasing Students' Interest in Basic Programming Subjects of Vocational Schools Taqiyuddin, Hanan; Al Idrus, Shofiyah; Wijarnaka, Sentot
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p44-50

Abstract

The current developments have ease in accessing information which is a challenge for students. One form of development of the times is the use of smartphones, where these smartphones can be used by students in accessing learning resources to assist the learning process. This research utilizes the use of this smartphone to design a mobile-based learning media using the Design Thinking development method to determine the feasibility of learning media applications on basic programming materials using the Open-Ended Learning approach and to determine the level of interest in learning of senior high school student’s competency skills in Software Engineering with using a Likert scale of 4 and the User Experience Questionnaire (UEQ) method. The data collection process was carried out by distributing questionnaires to media experts, material experts, small group tests and field tests. It is hoped that this learning medium will provide a good experience for users. The conclusions obtained in the media expert validation test produce an average percentage value of 84.7 percent and in the material expert validation test produce an average percentage value of 85.00 percent. The small group produced the highest scale on stimulation with an average of 1.95 and the smallest scale on novelty with an average of 1.28. The field test produced the highest scale on stimulation with an average of 2.01 and the smallest scale on novelty with an average of 1.47. And the interest level test produces an average value of 80.68 percent which is a high interest category.
Growing Teaching Motivation for Future Teachers Through Microteaching Soraya, Dila Umnia; Patmanthara, Syaad; Kusuma Ningrum, Gres Dyah
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p71-75

Abstract

The teacher is the main foundation for implementing successful learning in delivering students to achieve their goals and aspirations. Teacher in learning does not only transfer knowledge but also transfers positive values that will equip students to live in society. The meaning of learning for teachers and students cannot be separated from the teacher's role as a motivator. Apart from having to have basic teaching skills, teachers are also required to have self-motivation in teaching. One of the efforts to train and improve basic teaching abilities and skills for student teacher candidates is through microteaching. This step is also an effort to increase the teaching motivation future teachers at educational universities, especially the State University of Malang. The purpose of this study is to determine the level of teaching motivation future teachers who have implemented microteaching, in terms of 2 indicators, namely intrinsic and extrinsic motivation. This research is a quantitative descriptive with 142 students from 8 faculties of education at Malang State University as subjects. The research instrument uses a closed questionnaire with a Likert scale that has been tested for validity, reliability, and normality. Data were analyzed descriptively to measure the level of teaching motivation future teachers at Malang State University. The results of the study show that the teaching motivation for future teacher students is mostly at a moderate level. While the percentage of intrinsic motivation is higher than the extrinsic motivation. So it can be concluded that microteaching activities have succeeded in growing future teachers' teaching motivation, especially on intrinsic motivation. The desire to succeed, the encouragement and need in teaching, as well as the hopes and aspirations for the future are the driving force behind teaching motivation for future teacher students at the State University of Malang. 
Reconstruction Old Students Image Using The Autoencoder Method Negara, Candra Putra; Zaman, Azmi Badhi’uz; Setiawan, Dimas Aji; Azhari, Ahmad
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p51-54

Abstract

Image Processing is image processing with a digital computer to produce new images according to the user's wishes. One implementation is to reconstruct the image. Through the extraction stages are able to get the characteristics of an image. The algorithm used is Adam Optimization, which is an extension of the stochastic gradient reduction that has just seen wider adoption for deep learning applications in computer vision and natural language processing. In this study using the autoencoder technique, which is one variant of artificial neural networks that are generally used to "encode" data. Autoencoder is trained to be able to produce the same output as the input. This image reconstruction aims to process an image whose quality is not very clear to be clear. This if possible can be used to detect someone's face from a distance of photos. In reconstructing this image through the encode and decode process by defining Conv2D and Maxpool, it is processed into training with epoch 100 times while for the prediction process using Keras library. Then the last one gets an accuracy of 0,022. The final result is the output of the reconstructed image and calculation graph.
An interaction analysis model to study knowledge construction in xMOOCs Saadatdoost, Robab; Hiang Sim, Alex Tze
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p76-85

Abstract

 One of the recent tools of online teaching and learning has been MOOC which utilizes the web and can be considered a critical factor in delivering future lessons. Coursera is an approved and famous online learning tool established by two professors from Stanford. According to previous studies, Coursera concentrates on duplicating knowledge instead of constructing it. The present work aims at observing Coursera community in its normal context and investigating how participants construct knowledge. The required data were gathered through archive data including the top and chosen posts of online discussion groups. The interaction analysis model (IAM) was used to qualitatively analyze the data. In the observed courses, it was found that Coursera is mostly at Phase I (sharing/comparing information) of the IAM. Using the IAM which was first proposed for investigations of online debates, the research found a new phase and operations for assessing the level of knowledge construction in online discussion forums. This research bridges the gaps in the related literature by providing a foundation for understanding knowledge construction in the xMOOC context. Besides, this research developed understanding for future work which is a Coursera community framework that generally makes a MOOC community more potential to construct knowledge.
Digital Flip Book Based E-Modules on Financial Literacy Materials Kusumadyahdewi, Kusumadyahdewi; Firdiansyah, Yhadi
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p55-61

Abstract

 Financial literacy is very much needed with the rise of financial products and financial service institutions that are currently available both online and offline. Consumers must have financial knowledge so that they can make good use of it, and not fall into financial problems easily. Financial literacy is focused on financial planning, banking, insurance and investment according to the circular of the Financial Services Authority (OJK) to the public. Students as human beings who are prepared to face a financially independent life, must also be equipped with financial literacy so that they can utilize financial products in their financial planning. Therefore, it is very important to compile modules for students who are currently inseparable from their smartphones and laptops. This e-module can be accessed anytime and anywhere with the gadget you have, both online and offline. The research method used is R & D from Sugiyono which consists of 10 stages. This study develops learning media in the form of e-modules for students and assesses the feasibility of media experts, material experts and students as users. The media expert's assessment resulted in 92.85, from material experts 95.31 and small group students 90.5 while the large group was 88.74 which all showed very valid categories. This shows that the e-module is acceptable and appropriate to be given to students for the Financial Management course on Financial Literacy. 
The Effectiveness Of Google Classroom and Dojo Class Using the Discovery Learning Model on The Learning Outcomes of Vocational School Students Suswanto, Hary; Soraya, Dila Umnia; Ramadiani, Nanda Resta; Utomo, Wahyu Mulyo
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p62-66

Abstract

The aims of this study were to determine: (1) student learning outcomes through the use of Google Classroom and Class Dojo with the discovery learning model and (2) the effectiveness and efficiency of using Google Classroom and Class Dojo with the discovery learning model for class X. Multimedia students at SMKN 7 Poor. This research is a quasi-experimental research with quantitative and qualitative methods with the design of "Pre-test Post-test Nonequivalent Control Group". Data collection techniques by conducting interviews, giving treatment during learning, and student response questionnaires. The hypothesis is obtained from efficiency test data and effectiveness test. The results obtained from this study are: (1) the implementation of learning using Google Classroom and Class Dojo with the discovery learning model has increased learning outcomes and (2) the use of Google Classroom and Class Dojo with the discovery learning model provides efficient and effective results. In terms of efficiency and effectiveness, learning using Class Dojo with the discovery learning model is more efficient and effective compared to Google Classroom. 
The Relationship between Industrial Practice Activities and Academic Values of Multimedia Department Students at SMKN 1 Depok with Work Readiness Ahsan, Muhammad Zamani; Irianto, Wahyu Sakti Gunawan; Kirana, Karika Candra
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p67-70

Abstract

Work readiness is highly important for prospective job seekers to become professionals in the working world. Some of them attend vocational schools (SMK) as preparation for entering the workforce. SMK offers industrial practice activities to familiarize students with the working world. Additionally, academic achievements are the results of students attending SMK. This research aims to find the correlation between industrial practice activities (x1) and academic achievements (x2) with work readiness (y). This research uses a quantitative approach with a descriptive correlational model. The research sample is multimedia department students at SMKN 1 Depok who have already completed industrial practice activities. Hypothesis testing uses Spearman correlation and multiple correlation. The results indicate a significant correlation between x1 and y, no significant correlation between x2 and y, and a significant correlation between x1 and x2 simultaneously with y. 

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