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All Journal Medina-Te : Jurnal Studi Islam Chimica et Natura Acta Jurnal Pendidikan Ilmu Pengetahuan Alam (JP-IPA) Jurnal Ilmiah Berkala Sains dan Terapan Kimia Journal of Artificial Intelligence and Engineering Applications (JAIEA) I-PHILANTHROPY: A Research Journal on Management of Zakat and Waqf Miftah Journal of Economics and Business Kartika : Jurnal Ilmiah Farmasi El-Mubarak: Islamic Studies Journal Journal of Religion and Social Community
Abubakar Sidik
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Physics Social Sciences Other

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Application of Weighted Loss Function in Convolutional Neural Network for Acne Image Classification Abubakar Sidik; Purnamasari, Ade Irma; Pratama, Denni; Marta, Puji Pramudya; Wijaya, Yudhistira Arie
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1885

Abstract

Automated acne image classification using Convolutional Neural Networks (CNN) holds significant potential in dermatological diagnosis but faces a fundamental challenge of class imbalance. This phenomenon causes standard models to be biased towards majority classes and fail to recognize clinically important minority classes. This study aims to address this bias by applying a Weighted Loss Function to the EfficientNetB1 architecture. The research method employs a comparative experimental approach between two scenarios: the Baseline model (Standard Cross-Entropy) and the Proposed model (Weighted Cross-Entropy). The dataset consists of 5 acne classes with an imbalanced distribution. The results show that the Weighted Loss model significantly outperforms the Baseline model. Overall accuracy increased from 80% to 86%. The most significant improvement occurred in the minority class 'Papules', where the F1-Score surged by 0.10 points (from 0.71 to 0.81). It is concluded that the application of Weighted Loss Function effectively overcomes bias due to imbalanced data without the need for synthetic data augmentation, resulting in a fairer and more reliable model for clinical implementation.
Efektivitas Layanan Pembayaran Digital Dalam Meningkatkan Pengumpulan Zakat : Studi Kasus Inisiatif Zakat Indonesia Dikota Palembang Hasanah, Dilan; Umari , Zuul Fitriani; Sidik, Abubakar; Azwari , Peny Cahaya
Miftah : Jurnal Ekonomi dan Bisnis Islam Vol. 4 No. 1 (2026): April 2026
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/q73spf79

Abstract

This study aims to analyze the effectiveness of digital payment services in increasing zakat collection at Inisiatif Zakat Indonesia (IZI) Palembang. This research uses a qualitative descriptive method through interviews, observations, and documentation. The results show that digital payment services implemented by IZI Palembang are quite effective in increasing the amount of zakat collection, although the number of muzakki fluctuates. Bank transfers remain the most dominant payment method, while the use of QRIS and the ZakatPedia application is not yet stable. The main obstacles include limited digital content creativity and low social media interaction. Improvement efforts are carried out through the use of social media and cooperation with communities; however, these efforts still need to be optimized. Therefore, strengthening digital communication strategies and content management is necessary to enhance zakat collection
Co-Authors Agus Azhar Ma'arif Umpuna Alam Agus Safari Agus Safari Andi Arsyad Azwari , Peny Cahaya Beben Benardi Carolina, Anne Dian S Kamara Disfa Lidian Handayani Erdah Litriani Fazl, Fazli Fazli Fazl Hasanah, Dilan Hasim Hasim Iman Permana Maksum Junus, Nur Azizah Dj. Kamara, Dian S Lemiyana Linar Z Udin Linar Z Udin Linar Z. Udin Marlina, Ema Marta, Puji Pramudya Panyo, Risna Harun Pratama, Denni Purnamasari, Ade Irma Rachman, Saadah D Rachman, Saadah Diana Riska Nuari Saadah D Rachman Safari, Agus Safri Ishmayana Said Abdullah Syahab Sriastuti, Nyoman Tarisa Udin, Linar Z Umari , Zuul Fitriani Yudhistira Arie Wijaya