The Validity of Mobile Learning Management System (M-LMS) at University

Rini, Faiza; Mulyadi, Rodesri; Surya, Junaidi; Louis, Ahmad

doi:10.1166/jctn.2020.8948

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…This agrees with Borg and Gall that this development stage may be reduced or combined in several stages for efficiency and to reduce the scale of the project being developed (Muhardi et al, 2017). The Borg and Gall method which consists of 10 stages is simplified into 5 stages, like the simplification carried out by the Center for Policy and Innovation Research (Rini et al, 2020). The Borg and Gall stage is reduced to five stages, namely: a) product analysis, b) product development, c) validation and revision, d) small-scale trials and revisions, e) large-scale trials and final products.…”

Section: Methodsmentioning

confidence: 99%

Is It Practical Digital Learning Application For Learning 3D Graphic Design Based on Augmented Reality?

Ayu,

Ganefri,

Irfan

et al. 2023

JAETS

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Learning Graphic Design requires a high level of visualization, especially for design concepts or 3D interior design. If this material is only taught through guided practice in class, the learning outcomes will certainly not be optimal, especially for vocational graduates in the current digital era. The research aims to test the practicality of digital learning applications based on augmented reality technology as a learning medium for 3D interior graphic design. The type of research is Research and Development (R&D) with the Borg and Gall Method, data collection techniques using Likert scale questionnaires, applications built using Blender for modelling, Unity 3D for Augmented Reality Implementation, Android Studio for designing applications, Firebase for database storage, and Fiqma to design the interface design. This research produces a digital learning application that is used for learning 3D interior graphic design which is equipped with learning needs such as classrooms, and communication rooms and is based on Augmented Reality technology so that the resulting interior design objects can be displayed in real-time. Aiken's V formula is used to test the practicality of digital learning applications. The research results showed that the average Aiken's V score from lecturers was 85.22% in the practical category, and students in the small group test was 82.96% and students in the large group test was 83.04% in the practical category. So, it can be concluded that the use of the DiGi.AR application based on Augmented Reality is good and practical for learning 3D graphic design.

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Section: Methodsmentioning

confidence: 99%

Is It Practical Digital Learning Application For Learning 3D Graphic Design Based on Augmented Reality?

Ayu,

Ganefri,

Irfan

et al. 2023

JAETS

View full text Add to dashboard Cite

show abstract

“…Prosesnya dilakukan oleh komponen yang terdapat didalam aplikasi browser yang biasa disebut webengine. Semua dokumen web ditampilkan dengan cara diterjemahkan (Rini et al, 2020).…”

Section: Websiteunclassified

Kriteria Penyakit Tanaman Karet Dengan Metode Forward Chaining Berbasis Website

Mulyadi,

Natia Utari

2023

AKADEMIKA

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Like most plantation crops in general, rubber can be attacked by various diseases originating from fungi, pests, animals and even cancer cells. For that we need a method that is able to diagnose rubber disease. In previous studies related to plant disease diagnoses, among others, using the forward chaining method, certainty factor method and forward chaining. This study develops an analysis of the results of the diagnosis of rubber plant diseases using the expert system method. The choice of this method states that the Expert System method is capable of intuitively resembling the way the human brain works. With this method, it is hoped that the diagnosis of rubber plant diseases can assist farmers in detecting symptoms earlier so that the productivity of rubber plantations can be achieved. increase. The results of the research in the calculations carried out to diagnose rubber plant diseases, as many as 161 rubber plant object data are complemented by 33 identity symptoms and diagnoses from plantation data, then testing 60 rubber plant data without a diagnostic label, the accuracy value is obtained. of 81.28%. Likewise, testing by randomizing training data with Cross Validation obtained close results.

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