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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 77 Documents
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Analysis of Factors Affecting Student Interest in Using Mobile Banking Pratiwi, Novita Dea; Fariasih, Arin Fronika; Kusuma, Tyas Pratama Puja
Journal of Multimedia Trend and Technology Vol. 4 No. 3 (2025): Journal of Multimedia Trend and Technology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i3.101

Abstract

Study aims to analyze the effect of trust, compatibility, perceived risk, risk acceptance, and satisfaction on students’ interest in using mobile banking applications. Mobile banking has become one of the most widely used digital financial solutions due to its convenience and practicality, especially among young users who are familiar with technology. This research employs a quantitative approach using multiple linear regression analysis. The data are derived from a secondary dataset titled “COGENT ADOPTION M-BANKING PLS,” which contains survey responses from 219 students who use mobile banking services. The analysis results reveal that satisfaction, compatibility, and trust significantly influence students’ interest in using mobile banking, while perceived risk and risk acceptance show no significant effect. The coefficient of determination (R²) value of 0.570 indicates that the model explains 57% of the variation in students’ interest in mobile banking adoption. These findings highlight the importance of user trust, system suitability, and satisfaction as key factors in sustaining mobile banking usage. The study contributes both theoretically and practically by enriching the understanding of technology acceptance behavior among students and providing insights for banking institutions to enhance application design, strengthen security systems, and develop more user-oriented mobile banking strategies.
Classification of Hate Speech in TikTok Social Media Comments Using Naive Bayes Algorithm and TF-IDF Weighting Utami , Putri Febi; Krisbiantoro, Dwi; Santiko, Irfan; Riyanto, Andi Dwi
Journal of Multimedia Trend and Technology Vol. 4 No. 3 (2025): Journal of Multimedia Trend and Technology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i3.102

Abstract

This research focuses on the classification of hate speech in Indonesian Tik Tok comments. Tik Tok, as a social media platform with high interaction intensity, generates a large volume of comments with diverse linguistic characteristics, including the use of formal and informal language. This linguistic variation poses challenges in the content moderation process, particularly in automatically identifying hate speech. The research dataset is secondary data obtained by combining public datasets and scraped Tik Tok comments, with an initial total of 5,698 comments. The collected data represent general user comments with variations in formal and informal language. To improve data quality, pre-processing stages were carried out including text cleaning, tokenization, normalization, stop-word removal, and stemming. After pre-processing, 4,542 comments were obtained that were suitable for use in the modeling process. Experimental results show that the Multinomial Naïve Bayes model with TF-IDF weighting is able to classify hate speech with high performance. Model accuracy reached 93% before parameter optimization and increased to 95% after hyperparameter tuning with an alpha value of 0.5. The confusion matrix results show a relatively low misclassification rate, although the class distribution in the dataset still shows imbalance. The findings of this study indicate that the Multinomial Naïve Bayes approach is effective in recognizing linguistic patterns of hate speech in Indonesian TikTok comments, including text with informal language characteristics.
3D Bumper Animation Design as a Visual Identity Media for Wanarata Fest in Karangmangu Village Azam, Muhammad Fadhil; Astrida, Deuis Nur
Journal of Multimedia Trend and Technology Vol. 4 No. 3 (2025): Journal of Multimedia Trend and Technology
Publisher : Universitas Amikom Purwokerto

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

Abstract

Wanarata Fest is a cultural event held in Karangmangu Village with the aim of introducing the potential of local culture and wisdom to the wider community. To support the delivery of the village's identity and potential, visual media are needed that can create a strong and representative first impression. This research aims to design a 3D bumper animation as a visual identity for Wanarata Fest, showcasing the cultural elements and character of Karangmangu Village. The method used in this research is the Multimedia Development Life Cycle (MDLC), which includes the stages of concept, design, material collection, assembly, and testing. During the design stage, the selection of visual elements such as gunungan wayang (wayang puppet mountains), kuda kepang (horse-drawn carriages), joglo houses, and teak trees was based on observations and interviews with village officials to represent local cultural identity. Testing was conducted using the User Acceptance Testing (UAT) method, involving the committee and village officials as respondents. The test results showed that the 3D bumper animation received very positive ratings and acceptance, with all assessment indicators falling within the "very appropriate" category. This demonstrates that the designed 3D bumper animation is capable of representing the visual identity of Wanarata Fest and is suitable for use as an opening media for the event, with the potential for reuse in future events. Thus, 3D bumper animation can be an effective visual media solution in supporting the image and identity of local culture-based events.
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 Technology
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 Technology
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 Technology
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 Technology
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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