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All Journal Sistemasi: Jurnal Sistem Informasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Rahmad Ashar
Universitas Jambi
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Parameter-Efficient Models for Malaria Detection and Classification Using Small-Scale Imbalanced Blood Smear Images Akhiyar Waladi; Hasanatul Iftitah; Nindy Raisa Hanum; Yogi Perdana; Fitra Wahyuni; Rahmad Ashar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2558

Abstract

Malaria diagnostic automation faces critical challenges, including severe class imbalance with ratios of up to 54:1, limited datasets containing 200 to 500 images, and computational inefficiency resulting from the need to train separate models for each detection-classification combination. This study developed a multi-model framework with a shared classification architecture that trains classification models once on ground-truth crops and reuses them across all detectors. The framework systematically evaluated three YOLO Medium architectures for parasite detection and six CNN architectures for lifecycle and species classification across four complementary malaria datasets totaling 1,544 microscopy images. Detection achieved mAP@50 scores ranging from 70.84% to 96.27%, with high recall values of 71.05% to 93.12% minimizing missed parasite detections. Classification results demonstrated the importance of dataset-dependent model selection, with parameter-efficient EfficientNet models containing 5.3M to 9.2M parameters consistently outperforming ResNet variants with up to 44.5M parameters. EfficientNet-B1 achieved accuracies of 91.51% on the IML Lifecycle dataset and 98.28% on the MP-IDB Species dataset, while EfficientNet-B0 achieved 86.45% on the multi-patient MD-2019 dataset. ResNet50 achieved 96.13% accuracy on severely imbalanced MP-IDB Stages dataset. Focal Loss optimization with alpha = 1.0 and gamma = 1.5 enabled robust minority-class performance, achieving F1-scores between 0.44 and 1.00 on ultra-minority classes and demonstrating effective handling of class imbalance. The compact models, with sizes ranging from 46 MB to 89 MB, enable practical deployment on resource-constrained hardware.
Analysis of WhatsApp Business Features on the Effectiveness of Marketing Communications for Craft MSMEs in Jambi City Rudi Nata; Ari Andrianti; Miranty Yudistira; Oki Dahwanu; Rahmad Ashar; Renaldi Yulvianda
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6177

Abstract

This study analyzes the influence of WhatsApp Business features (Broadcast Message, Quick Reply, Catalog, and Labeling) on marketing communication effectiveness among creative SMEs in Jambi City. Using a mixed methods approach, the results indicate that WhatsApp Business features collectively have a significant effect on marketing communication effectiveness (R² = 0.596, p = 0.003), explaining 59.6% of the variance. Among the four features, only the Catalog feature showed a significant positive influence (β = 0.903, p = 0.034), highlighting its critical role in enhancing customer communication and engagement. The novelty of this research lies in its focus on creative SMEs producing cultural heritage based products in Jambi and its simultaneous evaluation of four key WhatsApp Business features. The findings suggest that SMEs should prioritize optimizing Catalog features through high quality visual content that effectively communicates product value and local cultural identity, while policymakers should support targeted digital literacy programs for heritage based businesses.
Co-Authors Akhiyar Waladi Ari Andrianti Fitra Wahyuni Hasanatul Iftitah Nindy Raisa Hanum Oki Dahwanu Renaldi Yulvianda Rudi Nata Yogi Perdana Yudistira, Miranty