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Rancang Bangun Media Edukasi 3D Interaktif Pembelajaran IPA Berbasis Mobile Utomo, Suharjanto; Budiarto, Samsul; Iswanto; Hernawati; Fajar Sidik, Raihan
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2258

Abstract

The rapid development of digital technology provides new opportunities to improve the quality of learning, particularly in science education. Conventional learning media such as textbooks and static images are considered less effective in conveying concepts that are highly visual and abstract. This study aims to design and develop an interactive 3D mobile-based educational media as a learning tool for science subjects, with a case study on the human digestive system at SMP Muhammadiyah 5 Cimahi. The application enables students to explore the digestive system organs through interactive 3D models supported by audio narration and explanatory texts. The development method employed is the Multimedia Development Life Cycle (MDLC), which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The application was evaluated through alpha testing using the blackbox method and beta testing by distributing questionnaires to teachers and 14 eighth-grade students. The evaluation results indicate that the application is well-accepted and contributes positively to students’ understanding of the human digestive system. The questionnaire results showed a score of 4.37, indicating that the application is engaging, easy to use, and interactive. These findings highlight the potential of interactive 3D mobile-based educational media as an innovative alternative for more engaging and effective science learning.
Prediction of the COVID-19 Vaccination Target Achievement with Exponential Regression Tju, Teja Endra Eng; Maylawati, Dian Sa’adillah; Munawar, Ghifari; Utomo, Suharjanto
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.1051

Abstract

The achievement of the national COVID-19 vaccination target in Indonesia is often reported to be uncertain with various existing obstacles. Prediction with exponential regression modeling is done by adopting part of the SKKNI Data Science with the stages of Data Understanding, Data Preparation, Modeling, Model Evaluation. The vaccination dataset from the Ministry of Health of the Republic of Indonesia for the period from January 13, 2021 to October 10, 2021, was randomly separated into training data of 0.8 parts and testing data of 0.2 parts. The optimal parameters of the exponential function are found using the scipy.optimize library in IPython. The model obtained was evaluated using MAE, RMSE, and R-Squared metrics on normalized training data, training data, test data, and recent data for seven days from 11 to 17 October 2021. The prediction results show that the vaccination target will be achieved 100 percent on January 18, 2022, while on December 31, 2021, only 80 percent will be achieved. From the recent data, it appears that more acceleration is needed, especially if it is desired to be achieved in December 2021 as determined by President Joko Widodo, there will be a shortfall of 20 percent based on the prediction results.