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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo Riyadhoh : Jurnal Pendidikan Olahraga Jurnal Ilmiah Wahana Pendidikan Solusi Bersama : Jurnal Pengabdian Dan Kesejahteraan Masyarakat Prosiding Seminar Nasional Ilmu Teknik Edumaspul: Jurnal Pendidikan
Fachruddin Fachruddin
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Optimasi XGBoost Dengan SHAP Untuk Sistem Skrining Penyakit Jantung Clara Zuliani Syahputri; Jasmir Jasmir; Fachruddin Fachruddin
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.147

Abstract

Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implementation-ready heart disease screening framework through the integration of SHAP-based Explainable AI. The CDC's Indicators of Heart Disease dataset (319,795 samples) was processed according to WHO/CDC standards, followed by class imbalance handling, hyperparameter optimization using RandomizedSearchCV, evaluation based on metrics sensitive to minority classes (AUC, recall, F1-score, AUC-PR), and threshold tuning to maximize recall. The baseline model showed a very low recall of 12.18%. After optimization and threshold tuning at 0.10, the model achieved recall >96% (96.79%) with a G-mean of 0.7477, supported by SHAP interpretation stability and the ability to capture non-linear interactions between advanced age (AgeCategory_WHO) and poor general health (GenHealth). SHAP analysis confirmed the alignment of dominant features with medical evidence, and its visualizations provide transparent explanations for healthcare professionals indicating its potential implementation as an interpretable clinical decision support system.
Evolusi Performa Arsitektur Deep Learning melalui Optimasi Bertahap dan Interpretabilitas Grad-CAM untuk Klasifikasi Penyakit Ikan Air Tawar Sasa Kirana Wulandari; Fachruddin Fachruddin; Jasmir Jasmir
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.179

Abstract

Freshwater fish diseases significantly affect aquaculture productivity and economic sustainability, while accurate visual classification remains challenging due to interclass similarity and image variability. This study presents a comparative evaluation of three deep learning architectures—DenseNet201, ResNet50, and EfficientNetV2-S—using a stepwise optimization strategy combined with Gradient-weighted Class Activation Mapping (Grad-CAM) for freshwater fish disease classification. Models were trained through three phases: baseline, optimized, and fine-tuned. Performance was evaluated using accuracy, precision, recall, F1 score, Matthews correlation coefficient (MCC), Cohen’s kappa, and per-class ROC–AUC. Results show consistent performance improvement across all architectures, with EfficientNetV2-S achieving the highest accuracy (97.14%), followed by ResNet50 (96.11%) and DenseNet201 (94.40%). High ROC–AUC values (>0.98) indicate strong discriminative capability. Grad-CAM analysis confirms that all optimized models focus on biologically relevant lesion regions, enhancing model transparency and reliability.
Membangun Budaya Siaga Bencana melalui Simulasi Gempa Bumi dan Tsunami di Lingkungan Madrasah Aliyah Negeri 2 Suak Timah Raina Parmitalia Dinda; Rita Fazlina; Rezqi Malia; Alvisyahri Alvisyahri; Veranita Veranita; Astiah Amir; Fadli Idris; Dewi Purnama Sari; Fitry Hasdanita; Rahmat Djamaluddin; Rinaldy Rinaldy; Zulyaden Zulyaden; Fachruddin Fachruddin
Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat Vol. 3 No. 2 (2026): Mei : Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/solusibersama.v3i2.3235

Abstract

This community service activity aimed to build a disaster preparedness culture through earthquake and tsunami simulation activities at Madrasah Aliyah Negeri 2 Suak Timah, West Aceh Regency. The activity was motivated by the high risk of earthquake and tsunami disasters in the coastal area of West Aceh and the limited understanding of students regarding disaster mitigation and evacuation procedures. This program was carried out through collaboration between the Regional Disaster Management Agency (BPBD) of West Aceh Regency, lecturers from the Civil Engineering Department of Teuku Umar University, the Samatiga Community Health Center, and the school. The methods used included education, socialization, demonstrations, and direct simulations regarding self-rescue actions during earthquakes and tsunamis. The simulation was conducted at Suak Timah Football Field as the evacuation gathering point. The results showed an increase in students’ and school members’ knowledge and preparedness in facing disasters. Participants were able to understand evacuation routes, perform self-protection actions, and follow evacuation procedures in an orderly and rapid manner. Evaluation results indicated that disaster mitigation understanding reached 85%, self-rescue ability 88%, accuracy in following evacuation routes 90%, discipline during simulation 92%, and participant involvement reached 95%. This activity also encouraged the formation of a disaster awareness culture and the emergence of active student roles as preparedness pioneers within the school environment. Therefore, disaster simulation proved to be an effective educational medium in improving the capacity and preparedness of school communities toward earthquake and tsunami risks.
Co-Authors Agik Suprayogi Alvisyahri Alvisyahri Bambang Ismayana Clara Zuliani Syahputri Defrian, Angga Dewi Purnama Sari Fadli Idris Fitry Hasdanita Hendri Hendri Intan Permata Sari Jasmir, Jasmir LINDA APRILIA Makmur Syukri Miranti Adelia Afda Novriyandi Hanif Nur Helmi Pareza Alam Jusia Prima Eka Syam putri Rahmat Djamaluddin Raina Parmitalia Dinda Rezqi Malia Rinaldy Rinaldy Rita Fazlina Rolin Fadilah Hasibuan Sasa Kirana Wulandari SATRIYAS ILYAS Sopan Sofian Sudirman Sirait Veranita Veranita Zulfakri Zulfakri Zulyaden, Zulyaden