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INDONESIA
SMATIKA
Published by Sekolah Tinggi Informatika dan Komputer Indonesia Malang
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Education
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Articles 296 Documents
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Optimasi Model CNN Berbasis Transfer Learning Untuk Klasifikasi Pneumonia pada Citra X-Ray Dada Pasha, Rasikh Khalil; Budiman, Kholiq
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.1985

Abstract

Pneumonia is a leading cause of child mortality worldwide, and its diagnosis often relies on chest X-ray interpretation, which is prone to human error. This study aims to optimize a Convolutional Neural Network (CNN) model based on transfer learning using the DenseNet-121 architecture for pneumonia classification in chest X-ray images. The model was trained on a Kaggle dataset consisting of two classes: Normal and Pneumonia. Preprocessing included class balancing and data augmentation. Five fine-tuning strategies were tested, ranging from training only the classifier to unfreezing the entire pretrained layers. Evaluation metrics included accuracy, precision, recall, F1-score, and ROC-AUC. Results showed that the strategy of unfreezing Block 3–4 yielded the best performance with 94.39% accuracy, 95.61% F1-score, and 98.04% ROC-AUC. This study demonstrates that selective fine-tuning strategies significantly improve classification performance compared to training only the classifier or the entire network.
Analisis Build Time Continuous Integration pada Multi Node Jenkins Menggunakan Metode Cache Saputro, Febriyan Adji; Nugroho, Muhammad Agung; Sahputra, Eka; Segara, Alon Jala Tirta
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2034

Abstract

In the era of modern software development, the speed and efficiency of application build processes have become critical factors in enhancing the productivity of development teams. Jenkins, as a popular CI/CD tool, can be utilized to perform distributed builds across multiple servers. However, long build times remain a significant challenge, especially for container-based applications that require numerous dependencies and compilation stages. This study proposes a method to optimize build time by leveraging caching mechanisms. The proposed method utilizes cache storage to save frequently used build artifacts, thereby reducing the time required for recompilation in subsequent builds. In this research, experiments were conducted to compare the build time of container-based applications before and after implementing the caching method. The results of this study indicate that applying caching techniques to container-based applications can improve build speed by approximately 43% to 76%. This finding demonstrates that caching is highly effective in enhancing build time efficiency within Jenkins’ multi-node architecture. Consequently, this optimization not only accelerates the build process but also reduces computational resource consumption, thereby supporting more efficient and cost-effective CI/CD practices.
Game Virtual Reality Sorgum Untuk Ketahanan Pangan Prima, Delta Ardy; Khosasih, Mikhael Ming
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2049

Abstract

Sorghum is a vital staple food crop widely consumed in Asia and Africa, ranking among the top five food crops globally after wheat, corn, rice, and barley. It is rich in carbohydrates and low in sugar, making it a suitable dietary option for individuals with diabetes. Sorghum can be cultivated on marginal or unproductive land; however, improper cultivation techniques may lead to sub-optimal yields or even crop failure. Survey findings indicate that public awareness and knowledge about sorghum cultivation in Indonesia remain limited, contributing to difficulties in effective planting and crop management. To address this issue, a simulation game utilizing virtual reality (VR) technology was developed to provide an interactive and immersive learning experience for sorghum cultivation. The Unity game engine was employed in the development process, incorporating freely available assets from various sources. The application was validated through expert interviews and user testing within the community. Post-testing results demonstrated a 31% increase in user knowledge regarding sorghum cultivation. These findings suggest that the VR-based game effectively enhances public understanding of the procedures involved in planting and maintaining sorghum crops.
Evaluasi User Experience Aplikasi AR Tutorial Yamaha R15 Menggunakan User Experience Questionnaire (UEQ) Sakaria, Setiabudi; Subari, Subari; Poerbanintyas, Evy
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2055

Abstract

This study aims to evaluate the user experience (UX) of an Augmented Reality (AR) application designed as a tutorial medium for introducing components of the Yamaha R15 VVA motorcycle. The evaluation was conducted using the User Experience Questionnaire (UEQ) method, covering six aspects: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. The research sample consisted of 30 students who have taken or are currently taking the Human-Computer Interaction course at Universitas Bhineka Nusantara. The analysis results showed that the pragmatic quality had an average value of -0.092 and the hedonic quality 0.108, with an overall score of 0.008, categorized as neutral. The average standard deviation of 0.666 indicates a high level of agreement among respondents. Although the application met some visual and interactive aspects, weaknesses were found in navigation features, usage guidance, and audiovisual support. Reliability testing showed that the UEQ instrument is appropriate for use, with a Cronbach’s alpha value of 0.88 (pragmatic) and 0.77 (hedonic). These results recommend further development in usability aspects and supporting features to enhance the effectiveness of the AR-based technical learning application.
Penerapan Motion UI untuk Meningkatkan Pengalaman Pengguna dan Penyampaian Informasi pada Website Kampus Ramadhanti, Jihan Arifia; Isyriyah, Laila; Maulidi, Rakhmad
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2039

Abstract

This research aims to develop a campus introduction website interface for STIKI Malang by implementing Motion UI to enhance information delivery effectiveness and user experience. Currently, the STIKI website uses a multi-page structure that requires visitors to open sub-menus separately to access information, resulting in significant resource consumption and long loading times. By transforming the website structure into a single-page application (SPA) and integrating dynamic animation elements through Motion UI, it is expected to increase engagement and conversion rates. Qualitative analysis results show significant improvements in user engagement and information comprehension, with page loading times drastically reduced to an average of 2.6 seconds. Evaluation using the User Experience Questionnaire (UEQ) also demonstrates significant improvements in attractiveness, clarity, efficiency, and stimulation aspects. This research concludes that implementing Motion UI on STIKI's single-page website successfully enhances user experience, access speed, and information delivery effectiveness. The results of this research can serve as a reference for developing interface design strategies for other educational institution websites
Sistem Deteksi Kehadiran Manusia dalam Ruangan Menggunakan Algoritma Histogram of Oriented Gradients Anggono, Hendry; Palandi, Jozua F; Kristanto, Bagus K; Pudyastuti, Zusana E
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2077

Abstract

This study aims to develop a web-based monitoring system utilizing computer vision and the Histogram of Oriented Gradients (HOG) algorithm to detect and count the number of people in a room. The research was motivated by the need for automated systems to replace manual methods, particularly during the COVID-19 pandemic, where contactless attendance tracking is critical. The HOG algorithm extracts visual features as image gradients representing human shapes, which are then classified using a machine learning model. The research methodology involved testing various camera configurations and angles, such as above door placement and room corners, with 80 and 60-degree camera angles. The system was built using Python, OpenCV for image processing, and Flask for web interface development. Data was collected through 200 trials, capturing live images with a camera. The results showed that the camera positioned above the door at an 80-degree angle achieved the highest detection accuracy at 66%, while other configurations showed reduced accuracy, averaging around 52%. The system also logs data, including time, detected human count, and captured images for further analysis. The findings highlight the importance of camera placement and angle in ensuring effective human detection. These results support the development of computer vision-based systems for practical applications such as crowd management, attendance counting, and public space monitoring. Future research is proposed to improve detection accuracy by integrating facial recognition technology and developing a more intuitive user interface. This study contributes substantially to improving the efficiency of automated systems for counting individuals in enclosed spaces, addressing various industrial and social needs.

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