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Journal of Multimedia Trend and Technology
Published by Universitas Amikom Purwokerto
ISSN : -     EISSN : 29641330     DOI : https://doi.org/10.35671
Core Subject : Science, Education, Art,
Arts Computer Science & IT Education Languange, Linguistic, Communication & Media
The Journal of Multimedia Trend and Technology is an online journal organised and managed independently by a consortium of multimedia and visual communication design lecturers. JMTT is an open-access journal that is provided for researchers, lecturers, and students who will publish research results in the field of all things about digitalized multimedia and its process. Currently, JMTT is under the auspices of the Amikom University Purwokerto higher education organisation, with the management of the Multimedia, Game, and Mobile Apps Study Centre together with Educollabs.
Arjuna Subject : Ilmu Komputer (semua kategori) - Interaksi Komputer-Manusia
Articles 75 Documents
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Implementation of Business Intelligence for Population Data Analysis and Visualization in Central Java Province Using the Tableau Platform Maulana, R M. Fikriyadi; Rizqi, Muhammad; Aji, Ranggi Praharaningtyas
Journal of Multimedia Trend and Technology Vol. 4 No. 3 (2025): Journal of Multimedia Trend and Tehcnology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i3.103

Abstract

In Indonesia, especially Central Java Province, population growth continues to increase every year. Data regarding population growth in Central Java Province is an important factor as a basis for calculating decision-making based on the visualization results of the data. The purpose of this study is to visualize population growth data from 2020 to 2022 in Central Java Province by implementing a business intelligence system to display the results of the development of population growth that has been recorded from 2020 to 2022 in Central Java Province. The method is to process the population dataset in Central Java Province using Tableau using the ETL (Extract, Transform, Load) method. The results are in the form of a report in the form of a dashboard visualization, such as total population data, the number of population growth by year and Regency in Central Java Province that can be used to support decision-making. The display of data generated from the analysis results will be visualized with an interactive dashboard with Tableau for easy understanding.
Predicting Greater Jakarta Area House Prices Using Random Forest and Linear Regression Agustin, Firli Firmansyah; Zaki, Fariz Nur Fikri
Journal of Multimedia Trend and Technology Vol. 4 No. 2 (2025): Journal of Multimedia Trend and Tehcnology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i2.104

Abstract

This study focuses on analyzing and predicting house prices in the Greater Jakarta Area using a machine learning approach, specifically comparing the performance of random forest regression and multiple linear regression. the increasing demand for adequate housing in Greater Jakarta Area, coupled with fluctuating house prices influenced by factors like land size, building size, number of bedrooms, bathrooms, and other facilities, necessitates an accurate price prediction system to assist both the public and businesses in decision-making. data was collected from Rumah123.com via Kaggle, followed by pre-processing and exploratory data analysis (EDA). the models were built using both algorithms and evaluated through 10-fold cross-validation, with an 80% training and 20% testing data split. the results demonstrate that random forest regression outperforms multiple linear regression, achieving a correlation coefficient of 0.5043 and a mean absolute error of 157,698,532. in contrast, multiple linear regression (m5p) yielded a correlation coefficient of 0.4895 and a mean absolute error of 209,890,933. therefore, random forest regression is recommended as a superior model for house price prediction in the Greater Jakarta Area region.
User Interface Design for Discrepancy-Simple Additive Weighting Evaluation Instrument Sugiarta, I Made; Sugandini, Wayan; Andayani, Made Susi Lissia; Suyas, P. Wayan Arta
Journal of Multimedia Trend and Technology Vol. 4 No. 3 (2025): Journal of Multimedia Trend and Tehcnology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i3.105

Abstract

In an effort to make it easier for users to understand how DSS-based instruments function without having to run the actual application, a user interface design is required. The purpose of this study was to show the quality of the user interface design of the Discrepancy-SAW evaluation instrument. The research approach used the R&D development model, which focuses on three stages of development. The three stages were design creation, initial design trial, and revision of the initial design trial. The subjects involved in the initial trial of the user interface design were 40 respondents. The trial tool was a questionnaire consisting of 10 questions related to the user interface design. Analysis of the trial data was carried out by comparing the percentage of user interface design quality with quality standards that refer to the eleven-scale categorization. The results of this study show the quality of the user interface design of the Discrepancy-SAW evaluation instrument in the good quality category by a quality percentage of 83.38%. The impact of the results of this study is that stakeholders in the field of education gain knowledge about the existence of the user interface design of the Discrepancy-SAW evaluation instrument. It is appropriate for use in determining the dominant factors that trigger inequality in the lecture process in the research methodology course.
Promoting Hydroponics Learning with Gamification Approach Wang , Gunawan; Sugianto , Ananda Dwi
Journal of Multimedia Trend and Technology Vol. 4 No. 2 (2025): Journal of Multimedia Trend and Tehcnology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i2.138

Abstract

Hydroponics is a farming technique without using soil media instead of water, it has many advantages compared to conventional general techniques in terms of resource efficiency. The use of hydroponics has gained wide popularity due to space optimization. Due to its simplicity, hydroponics method has attracted many new entrepreneurs especially from youngsters. Although it is quite popular nowadays, the hydroponics adoption for Indonesian farmers is quite limited due to lack of training exposure and access. The current training is still conducted in traditional classrooms with high costs and limited participants. The article proposes a new learning method using gamification method to empower new hydroponics entrepreneurs. The gamification method enables to deliver material in a more convenient way and reach a wider audience through mobile application. The article uses a common MDA framework to provide systematic material design and links to objectives. The outcome is expected to be used as a reference for hydroponics entrepreneurs to educate a larger audience.
Understanding GenAI Adoption in Education: A Systematic Literature Review Hidayat, Alifiansyah Arrizqy; Rospricilia, Tita Ayu; Rosidah, Nur Azizah; Fauzia, Ramadhani Vanva; Putra, Ian Mahendra
Journal of Multimedia Trend and Technology Vol. 4 No. 2 (2025): Journal of Multimedia Trend and Tehcnology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i2.139

Abstract

This study conducts a systematic literature review of 40 peer-reviewed articles to investigate behavioral factors influencing the adoption of Generative Artificial Intelligence (GenAI) in education. Using PRISMA guidelines, the review identifies key constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) including performance expectancy, effort expectancy, social influence, and facilitating conditions as consistent predictors of GenAI usage. Additionally, complementary variables such as trust, perceived risk, self-efficacy, hedonic motivation, and ethical concerns are found to significantly shape user engagement. The integration of UTAUT with models like TAM, TPB, and SCT enhances explanatory depth, offering a multidimensional framework for understanding GenAI adoption. The study proposes a conceptual model and highlights the importance of inclusive, context-sensitive approaches to support responsible GenAI integration in academic settings.

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