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Optimizing the compact convolution transformer for enhanced pneumonia detection Muhammad Munsarif; Norshuhani Zamin; Muhammad Sam’an
International Journal of Advances in Intelligent Informatics Vol 12, No 2 (2026): May 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v12i2.1805

Pneumonia detection through medical imaging, especially using CT scans or X-rays, presents notable challenges due to the subtle and often unclear signs of the disease. This paper introduces a novel neural network model, the Compact Convolutional Transformer (CCT), designed to address these challenges by optimizing detection accuracy. The CCT model incorporates configuration dropout in its convolutional layers to enhance both robustness and precision.Experiments conducted on a dataset of 5,856 chest X-ray images from pediatric patients aged one to five years demonstrated the model's effectiveness, achieving a remarkable 97% accuracy, 97% recall, 98% precision, and an F1-score of 98%. When compared to state-of-the-art models like DarkNet-53 and VGG-19 + GradCAM, which achieved F1-scores of 97.3% and 95.61% respectively, the CCT model consistently matched or outperformed them, particularly when dealing with smaller and more complex datasets. Even models such as CNN + Bayesian Network, which used larger datasets, only reached an F1-score of 96.3%.These results underscore the superior efficiency and accuracy of the CCT model, highlighting its potential for broader applications in medical diagnostics and image analysis, especially in pneumonia detection.

Peningkatan Kompetensi Guru di Sekolah Menengah Islam Ihsanul Fikri melalui Pelatihan Pengembangan Media Pembelajaran Berbasis Kecerdasan Buatan: Sebuah Studi Mixed-Methods Rima Dias Ramadhani; Ahmad Ilham; Muhammad Sam’an; Akhmad Fathurohman; Safuan Safuan; Muhammad Munsarif; Lukman Assaffat; Asdani Kindarto; Muhammad Wahyu Anggana; Teguh Firmasyah; M. Amin Syaifani; Afan Arga Ahyana; Adi Nugroho; Janu Yogi Kurnia
Jurnal Surya Masyarakat Vol 7, No 2 (2025): Mei 2025
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.2.2025.207-214

The training program on Artificial Intelligence-based Learning Media Development (P3MP-AI) represents a strategic initiative to enhance the quality of education at the Ihsanul Fikri Integrated Islamic High School. In the rapidly evolving landscape of information technology, the integration of Artificial Intelligence (AI) technology into education has become an urgent necessity. This endeavor aims to address the personalized learning needs, overcome human resource and time constraints, and enhance the overall quality of education in achieving educational goals. Through the Active and Interactive Learning Method (MPB-AI) approach, educators engage in various practical and interactive activities, enabling them to comprehend and applykecerdasan buatanconcepts practically. Evaluation of this training program demonstrates significant achievements in enhancing participants' understanding and skills, as well as a high level of creativity and diversity in AI-based learning media development practices. Thus, this training program has successfully achieved its objectives in improving the quality of education at the Ihsanul Fikri Integrated Islamic High School. Recommendations for future activities include extending the duration of implementation for optimal goal attainment and developing similar activities periodically to continually enhance educators' abilities in delivering more effective and efficient learning experiences.

Aksawatra: Inovasi Media Pengenalan Aksara Braile Berbasis Teknologi Touchpad Untuk Meningkatkan Pengetahuan Aksara Jawa Tunanetra di SLBN Semarang Thahta Ardhika Prabu Nagara; Sava Aurellia Salsabila; Rifki Rochman Ariyanto; Zalfaulislam Sayfanah; Arya Mahardika; Muhammad Sam’an
Jurnal Surya Masyarakat Vol 7, No 1 (2024): November 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.1.2024.1-7

SLBN Semarang, an inclusive school in Semarang City, faces challenges in teaching Javanese script to visually impaired students. The available braille learning media is unable to visualize the original form of Javanese script, resulting in a lack of student motivation. The Aksawatra PKM-PM program offers an innovative solution by introducing Javanese Braille teaching aids based on touchpad technology and 3D models. This innovation allows visually impaired students to experience the script shapes in real time and get audio feedback that helps them understand and remember the script shapes more effectively. The implementation method of this program involves thorough preparation, intensive training for teachers, and implementation of Aksawatra technology learning to blind students. Evaluation results showed significant improvement in students' ability to recognize Javanese script forms and their increased interest in learning. In addition, teachers found it easy to teach Javanese script with this new tool. The Aksawatra PKM-PM program proves that interactive technology can be an effective solution to overcome learning obstacles for visually impaired students, improve literacy skills, and preserve cultural heritage. This success provides a sustainable positive impact for inclusive education and can serve as a model for future learning innovations.

Si-Bookie: flip book berbantuan Augmented Reality guna meningkatkan kemampuan Komunikasi Siswa TK Pangudi Luhur Kartini Semarang Monika Evanya Kade; Rinanta Dewi; Diva Ari Pradana; Nabilah Dian Avie Anala; Anggita Aura Pinasti; Muhammad Sam’an
Jurnal Surya Masyarakat Vol 7, No 1 (2024): November 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.1.2024.88-93

The PKM-PM Si-Bookie program at TK Pangudi Luhur Kartini Semarang aims to enhance children's communication skills through interactive Augmented Reality (AR) and Virtual Reality (VR) technology. The activities began with surveys and problem identification, coordination with the school, program development, as well as teacher socialization and training. The results showed a significant improvement in students' communication abilities; before the program, only 23 out of 33 students dared to speak in front of the class, whereas after the program, this number increased to 30 out of 33 students. Learning enthusiasm and student engagement also increased, with students becoming more excited about using AR and VR technology. Students' confidence in social interactions rose from 23 to 30 students feeling confident after the program. The program also enhanced teachers' technological skills; before the program, only 1 out of 6 teachers understood AR and VR, whereas after the program, 5 out of 6 teachers mastered it. The effectiveness of teaching also improved, with the number of teachers feeling effective rising from 2 to 5. Overall, Si-Bookie successfully improved communication skills and technological abilities at TK Pangudi Luhur Kartini, providing sustainable benefits in education and the community.

Peningkatan Kompetensi Guru di Sekolah Menengah Islam Ihsanul Fikri melalui Pelatihan Pengembangan Media Pembelajaran Berbasis Kecerdasan Buatan: Sebuah Studi Mixed-Methods Rima Dias Ramadhani; Ahmad Ilham; Muhammad Sam’an; Akhmad Fathurohman; Safuan Safuan; Muhammad Munsarif; Lukman Assaffat; Asdani Kindarto; Muhammad Wahyu Anggana; Teguh Firmasyah; M. Amin Syaifani; Afan Arga Ahyana; Adi Nugroho; Janu Yogi Kurnia
Jurnal Surya Masyarakat Vol 7, No 2 (2025): Mei 2025
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.2.2025.207-214

The training program on Artificial Intelligence-based Learning Media Development (P3MP-AI) represents a strategic initiative to enhance the quality of education at the Ihsanul Fikri Integrated Islamic High School. In the rapidly evolving landscape of information technology, the integration of Artificial Intelligence (AI) technology into education has become an urgent necessity. This endeavor aims to address the personalized learning needs, overcome human resource and time constraints, and enhance the overall quality of education in achieving educational goals. Through the Active and Interactive Learning Method (MPB-AI) approach, educators engage in various practical and interactive activities, enabling them to comprehend and applykecerdasan buatanconcepts practically. Evaluation of this training program demonstrates significant achievements in enhancing participants' understanding and skills, as well as a high level of creativity and diversity in AI-based learning media development practices. Thus, this training program has successfully achieved its objectives in improving the quality of education at the Ihsanul Fikri Integrated Islamic High School. Recommendations for future activities include extending the duration of implementation for optimal goal attainment and developing similar activities periodically to continually enhance educators' abilities in delivering more effective and efficient learning experiences.

Aksawatra: Inovasi Media Pengenalan Aksara Braile Berbasis Teknologi Touchpad Untuk Meningkatkan Pengetahuan Aksara Jawa Tunanetra di SLBN Semarang Thahta Ardhika Prabu Nagara; Sava Aurellia Salsabila; Rifki Rochman Ariyanto; Zalfaulislam Sayfanah; Arya Mahardika; Muhammad Sam’an
Jurnal Surya Masyarakat Vol 7, No 1 (2024): November 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.1.2024.1-7

SLBN Semarang, an inclusive school in Semarang City, faces challenges in teaching Javanese script to visually impaired students. The available braille learning media is unable to visualize the original form of Javanese script, resulting in a lack of student motivation. The Aksawatra PKM-PM program offers an innovative solution by introducing Javanese Braille teaching aids based on touchpad technology and 3D models. This innovation allows visually impaired students to experience the script shapes in real time and get audio feedback that helps them understand and remember the script shapes more effectively. The implementation method of this program involves thorough preparation, intensive training for teachers, and implementation of Aksawatra technology learning to blind students. Evaluation results showed significant improvement in students' ability to recognize Javanese script forms and their increased interest in learning. In addition, teachers found it easy to teach Javanese script with this new tool. The Aksawatra PKM-PM program proves that interactive technology can be an effective solution to overcome learning obstacles for visually impaired students, improve literacy skills, and preserve cultural heritage. This success provides a sustainable positive impact for inclusive education and can serve as a model for future learning innovations.

Hyperparameter Optimization of Random Forest using Grey Wolf Optimization for Heart Disease Classification: Optimasi Hiperparameter Random Forest Menggunakan Grey Wolf Optimization untuk Klasifikasi Penyakit Jantung Ratih Khotimahtus Sa'diyah; Muhammad Sam’an; Safuan; Mustafa Mat Deris
Journal of Data Insights Vol 4 No 1 (2026): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v4i1.1196

Cardiovascular disease remains one of the leading causes of death worldwide, making predictive models important to support early heart disease detection. Random Forest is widely used for heart disease classification, but its performance can be affected by hyperparameter selection. This study focuses on applying Grey Wolf Optimization (GWO) to selected Random Forest hyperparameters and evaluating the optimized model through a direct comparison with a baseline Random Forest model on the same testing dataset, supported by statistical verification. The dataset used is the Cleveland Heart Disease Dataset, consisting of 303 patient records, 13 predictor attributes, and one target attribute. The research stages include data preparation, preprocessing, stratified data splitting with an 80:20 ratio, hyperparameter optimization using GWO, and model evaluation. The GWO process uses the average F1-score from 5-fold cross-validation on the training set as the fitness value. Model performance is evaluated using accuracy, precision, recall, F1-score, AUC-ROC, confusion matrix analysis, and the exact McNemar test. The results show that the GWO-RF model obtains higher descriptive evaluation values than the baseline RF model, with accuracy increasing from 88.52% to 93.44%, precision from 81.82% to 90.00%, F1-score from 88.52% to 93.10%, and AUC-ROC from 95.13% to 96.86%, while recall remains at 96.43%. However, the exact McNemar test produces a p-value of 0.25, indicating that the difference is not statistically significant. Therefore, the improvement is interpreted as a descriptive performance gain rather than a statistically significant improvement.

Si-Bookie: flip book berbantuan Augmented Reality guna meningkatkan kemampuan Komunikasi Siswa TK Pangudi Luhur Kartini Semarang Monika Evanya Kade; Rinanta Dewi; Diva Ari Pradana; Nabilah Dian Avie Anala; Anggita Aura Pinasti; Muhammad Sam’an
Jurnal Surya Masyarakat Vol 7, No 1 (2024): November 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.1.2024.88-93

The PKM-PM Si-Bookie program at TK Pangudi Luhur Kartini Semarang aims to enhance children's communication skills through interactive Augmented Reality (AR) and Virtual Reality (VR) technology. The activities began with surveys and problem identification, coordination with the school, program development, as well as teacher socialization and training. The results showed a significant improvement in students' communication abilities; before the program, only 23 out of 33 students dared to speak in front of the class, whereas after the program, this number increased to 30 out of 33 students. Learning enthusiasm and student engagement also increased, with students becoming more excited about using AR and VR technology. Students' confidence in social interactions rose from 23 to 30 students feeling confident after the program. The program also enhanced teachers' technological skills; before the program, only 1 out of 6 teachers understood AR and VR, whereas after the program, 5 out of 6 teachers mastered it. The effectiveness of teaching also improved, with the number of teachers feeling effective rising from 2 to 5. Overall, Si-Bookie successfully improved communication skills and technological abilities at TK Pangudi Luhur Kartini, providing sustainable benefits in education and the community.

Improving the quality of handwritten image segmentation using k-means clustering algorithms with spatial filters Muhammad Munsarif; Muhammad Sam’an
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p38-45

One of the ways to predict human characters is by using handwritten patterns. Graphologists have analyzed handwriting to determine a writer's personality by considering several parameters: writing slopes, spacing, inclination, and writing size. The results of the analysis have been widely used as a reference for psychologists to assess an individual's personality. Moreover, researchers have applied techniques to identify human characters using image processing techniques. However, different styles of handwriting require more research to develop. The process of separating objects from backgrounds needs a segmentation process. This research improves the quality of handwritten image segmentation using k-means clustering algorithms with the spatial filter. This spatial filter consisted of the median and mean filters. This research created various k values to gain the best segmentation results. The results showed that the median filter with a kernel size of 3×3 and the k value=2 was the best segmentation result because the value of silhouette coefficient was the highest compared to the value of filter type and other k values which reach 99.22%.

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