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Journal : Jurnal Teknik Informatika (JUTIF)

Multimodal Biometric Recognition Based on Fusion of Electrocardiogram and Fingerprint Using CNN, LSTM, CNN-LSTM, and DNN Models Agustina, Winda; Nugrahadi, Dodon Turianto; Faisal, Mohammad Reza; Saragih, Triando Hamonangan; Farmadi, Andi; Budiman, Irwan; Parenreng, Jumadi Mabe; Alkaff, Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5098

Abstract

Biometric authentication offers a promising solution for enhancing the security of digital systems by leveraging individuals' unique physiological characteristics. This study proposes a multimodal authentication system using deep learning approaches to integrate fingerprint images and electrocardiogram (ECG) signals. The datasets employed include FVC2004 for fingerprint data and ECG-ID for ECG signals. Four deep learning architectures—Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), CNN-LSTM, and Deep Neural Network (DNN)—are evaluated to compare their effectiveness in recognizing individual identity based on fused multimodal features. Feature extraction techniques include grayscale conversion, binarization, edge detection, minutiae extraction for fingerprint images, and R-peak–based segmentation for ECG signals. The extracted features are combined using a feature-level fusion strategy to form a unified representation. Experimental results indicate that the CNN model achieves the highest classification accuracy at 96.25%, followed by LSTM and DNN at 93.75%, while CNN-LSTM performs the lowest at 11.25%. Minutiae-based features consistently yield superior results across different models, highlighting the importance of local feature descriptors in fingerprint-based identification tasks. This research advances biometric authentication by demonstrating the effectiveness of feature-level fusion and CNN architecture for accurate and robust identity recognition. The proposed system shows strong potential for secure and adaptive biometric authentication in modern digital applications.
Clustering and Modeling of Daily Weather Pattern Distribution in Makassar City Using Hybrid DBSCAN-Gaussian Mixture Model Risaldi, Muhammad; Safitri, Ayu; Nur Risal, Andi Akram; Surianto, Dewi Fatmarani; Andayani, Dyah Darma; Edy, Marwan Ramdhany; Firdaus, Firdaus; Parenreng, Jumadi M
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5254

Abstract

Dynamic and irregular daily weather changes present major challenges in understanding seasonal patterns. Data uncertainty, outliers, and inter-season variability further complicate weather analysis using conventional methods. To address this issue, this study integrates Density-Based Spatial Clustering of Application with Noise (DBSCAN) and Gaussian Mixture Model (GMM) to analyze daily weather patterns in Makassar City. A total of 2,192 daily records from 2019 to 2024, including rainfall, specific humidity, atmospheric pressure, and wind speed, were examined. DBSCAN detected one dominant cluster (2019 data) and 173 outliers. The main cluster was further partitioned by GMM into three sub-clusters representing the wet (511 records, 13.39 mm rainfall), dry (633 records, 0.15 mm), and transition (875 records, 2.53 mm) seasons. GMM identified 1,764 fixed clusters and 255 ambiguous data points, with a log-likelihood of 5091.22 and the highest Silhouette Score of 0.188. Comparative evaluation demonstrated that the hybrid DBSCAN-GMM achieved superior performance (Silhouette Score = 0.1434) compared to DBSCAN or GMM individually. The novelty of this research lies in applying the DBSCAN-GMM integration, which is rarely used in tropical weather analysis, to capture seasonal structure and anomalies adaptively. This study contributes methodologically to clustering-based weather modeling and practically supports applications such as agricultural planning, disaster mitigation, and adaptive climate strategies in tropical regions.
Co-Authors Abd. Fattah Abd. Fattah Abd. Rahman Patta Abd. Rasyid Syamsuri Abdul Hafizh Abdul Hafizh Abdul Muis Mappalotteng Abdul Wahid Abdul Wahid Abdul Wahid Adi, Puput Dani Prasetyo Adiba, Fhatiah Ahmad Ridwan Ahmad Wahyudi Ahmad Wahyudi Akbar, Trisakti Al Imran Al Imran Alimuddin Sa’ban Miru Alimuddin Sa’ban Miru Aminuddin Bakry Anak Agung Istri Sri Wiadnyani Andani, Andi Ferry Adlian Tri Andi Baso Kaswar Andi Baso Kaswar Andi Farmadi Andi Wawan Indrawan Andi, Asirah Arifin, Afrisal Ary Masharuddin Shiddiqi Asham Bin Jamaluddin Aswa, M. Andika Atthariq, Atthariq Ayu Lestari Ayu Lestari AYU LESTARI Ayu Safitri Azhar Azhar Baso, Fadhlirrahman Budi, Tri Setyo Cyahrani Wulan Purnama Cyahrani Wulan Purnama Rasyid Dewi Fatmarani Surianto Dillah, Salsa Djawat, Yasser Abd Djuanda, Djuanda Dodon Turianto Nugrahadi Dyah Vitaloka Edi Suhardi Rahman Edy, Marwan Ramdhany Fachrul, Achmad Fachry Abda El Rahman FADIAH, NUR Fahmi, Moghfina Moghfina Fathahillah Fathahillah Fatimah Hidayahni Amin Febry Maryani Yatu Febry Maryani Yatu Fhatiah Adiba Firdaus Firdaus Firdaus Firdaus, Muhammad Eka Ganefri . Haq, Andi Muh. Sahirul Harifuddin Haripuddin Haripuddin Hartono Hartono Hasrul Bakri Hendarawaty, Hendarawaty Hendra Jaya Hentje Ponto Hidayat M, Wahyu I Nyoman Sila Ibnu Fikrie Syahputra Ikram Anas Ikram Anas Irmawati Irmawati Irmawati Irmawati Irmawati Irvanshah Irvanshah Irwan Budiman Istiqamah, Nurfadilah Iwan Suhardi Jariah, Rezki Nurul Jufri, Muhammad Fadhil Juliady, Ilham Karmila Kasim, Muh. Alwi Rizkyansyah Kurnia Prima Putra Kusnandar, Welly Chandra Kusumah Lia, Resky Amalia M. Ruhan Bachry M. Syahid Nur Wahid M. Syahid Nur Wahid Mahabror, Dendy Mahgafhira, Iin Manguling, Inez Sri Wahyuningsi Massikki, Massikki Moghina Fahmi Muh Mujahidin Muh. Irfan Nur Muh. Rifqi Fadhil Muh. Yusuf Mappeasse Muh. Yusuf Mappeasse Muhammad agung Muhammad Agung Muhammad Agung Muhammad Agung Muhammad Agung Muhammad Alkaff Muhammad Fajar B Muhammad Fajri, syamsir Muhammad Ilyas Syarif Muhammad Mahdinul Bahar Muhammad Mahdinul Bahar Muhammad Reza Faisal, Muhammad Reza Muhammad Yahya Muharram Muharram Muhira Muhira Mujahidin, Muh Muliadi Muliadi Muliadi Musdania Mustari S. Lamada Nununk Febryanti Nur Risal, Andi Akram Nur Wahid, M Syahid Nur, Muh Irfan Nurdin Nurdin Nurul Istiqamah Qalbi Nurul Izzah Dwi Nurul Izzah Dwi Nurdinah Parenreng, Syarif Mabe Prima, Delta Ardy Putra, Muh. Fardika Irwan Pratama Rais, Muh Rasyid, A. Ramli Rasyid, M. Udin Harun Al Rezky Anisar, Muh. Alief Riana T.Mangesa Ridwan Daud Mahande Risaldi, Muhammad Riska, Muhammad Rizal, Fahru rosyidah, aliyyah Sanatang Saragih, Triando Hamonangan Sariningrum, Ros Satria Gunawan Zain Seny Luhriyani Sunusi Setia Ningsih Shiraj, Muhammad Reza Sofyan, Muh Azikin Sugeng A. Karim Sugeng A. Karim Suhartono Suhartono Suhartono Suhartono, Suhartono Suhendar Aji Putra Suhendhar Aji Putra Sul Fikran Supeno Djanali Supriadi, Dewi Sri Mulyana Suyanta Suyanta Syafriandi K, Fahri Syahrul Syahrul Syahrul Syahrul Syarifuddin Kasim Syarifuddin Kasim Tenri Nadya Wenny Titin Jumriah Tri Setyo Budi Tri Setyo Budi Usman Mulbar Wahda Arfiana AR Wahid, M. Syahid Nur Wahyu Hidayat M Wahyu Hidayat M Wahyuni , Maya Sari Wahyuni, Maya Sari Winda Agustina Yasdin, Yasdin Yunus Tjandi Yunus Tjandi Yusuf, Zulfatni Zulhajji, Zulhajji Zulkiplih Zulkiplih Zulkiplih Zulkiplih Zulkiplih