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All Journal JISA (Jurnal Informatika dan Sains) Journal of Computer System and Informatics (JoSYC) Bulletin of Information Technology (BIT)
Utomo, Suharjanto
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Implementasi Augmented Reality Pada Pembelajaran IPA Siswa SMP Utomo, Suharjanto; Budiarto, Samsul; Iswanto, Iswanto; Ibnu Abdillah, Sofyan; Ilhamdi, Wilson
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.957

Abstract

In the learning process at the inclusive junior high school SMP Muhammadiyah 5 in the city of Cimahi, conventional methods are still employed, utilizing limited book resources, and students remain passive, merely listening to what the teacher imparts. Augmented Reality is a technology that combines the real world with digital or virtual elements, creating an engaging and interactive user experience. The purpose of this research is to develop a learning media using Augmented Reality technology that is engaging and interactive in the field of Science, thus facilitating both teachers and students in comprehending the material. The stages in this research employ the Multimedia Life Cycle method, which includes concept, design, data collection, creation, testing, and distribution. The research has successfully developed an Android-based application that has undergone black box testing. Survey results also indicate a 90% satisfaction rate, demonstrating that the application is easy to use, interactive, and engaging.
Implementasi Pengenalan Ekspresi Wajah dengan Menggunakan Metode Convolutional Neural Network dan OpenCV Berbasis Webcam Melatisudra, Raifvaldhy Jounias Luppus; Utomo, Suharjanto; Sutjiningtyas, Sri; Hernawati, Hernawati
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6114

Abstract

Facial expressions play an important role as a non-verbal language rich in emotional information, especially in psychological contexts. The main challenge in this research is to understand and analyse complex facial expressions, which are often difficult for psychologists to interpret. The implementation of webcam-based facial expression recognition leverages the computer's ability to visually recognise human emotions, supported by artificial intelligence and machine learning. Convolutional Neural Network (CNN) and OpenCV methods are used to detect and classify facial expressions directly. The CNN model is trained using a dataset with six expression classes (happy, sad, angry, surprised, neutral, afraid), with four convolution layers for multi-class classification. The implementation of facial expression recognition is successful, the system captures facial images from a webcam, detects faces in the frame, and classifies facial expressions directly on the screen window. The performance of training data against the trained model measured using Classification Accuracy shows an accuracy of 72.34% in training accuracy and 60.54% in validation accuracy. While the performance of the facial expression recognition system calculated using Confusion Matrix resulted in an accuracy of 70.55%. The calculation results show that the model is at the Fair Classification parameter level or able to classify facial expressions in humans with a fairly good level of accuracy, this research has great potential for application development in the field of psychology. However, further optimisation is needed by involving experts to ensure its effectiveness.
Implementasi Augmented Reality Stunting untuk Kader Aisyiyah Kota Cimahi Utomo, Suharjanto; Budiarto, Samsul; Iswanto, Iswanto; Ramdhani, Indiraki
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1683

Abstract

The Regional Leadership of Aisyiyah Cimahi City has a new and excellent programme called “Cimahi City Zero Stunting to Welcome the Golden Generation” to assist the Cimahi government programme in reducing stunting rates. Aisyiyah stunting cadres in Cimahi city need to increase their capacity in understanding stunting, an approach with information technology is expected to be easier and more interesting. Augmented reality (AR) is a technology that combines the real world with digital or virtual elements generated, thus creating an interesting and interactive user experience. By implementing Augmented Reality in the form of Stunting education media, it is hoped that it will increase the understanding of Aisyiyah cadres in Cimahi city. The application developed can be run on an android phone so that it can be easily used by stunting cadres and the community.
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. 
Co-Authors Budiarto, Samsul Fajar Sidik, Raihan Ghifari Munawar Hernawati Hernawati Hernawati Ibnu Abdillah, Sofyan Ilhamdi, Wilson iswanto Iswanto Iswanto Maylawati, Dian Sa’adillah Melatisudra, Raifvaldhy Jounias Luppus Ramdhani, Indiraki Sutjiningtyas, Sri Teja Endra Eng Tju