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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Pendidikan Sejarah Indonesia Jurnal Ilmiah Edunomika (JIE) Dinamika Kerajinan dan Batik : MAJALAH ILMIAH JES (Jurnal Ekonomi STIEP) BIOGENESIS Jurnal Historica
Marjono Marjono
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences Other

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The Role of the Nahdlatul Ulama Organization in Empowering Women in 1989-1997 Nazidatul Khoiro; Nurul Umamah; Marjono Marjono; Sumardi Sumardi; Riza Afita Surya
JURNAL HISTORICA Vol. 5 No. 2 (2021): Desember 2021
Publisher : History Education, University of Jember

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Abstract

Nahdlatul Ulama’ merupakan organisasi sosial keagamaan terbesar di Indonesia, yang memiliki banyak kontribusi di berbagai bidang, salah satunya pemberdayaan perempuan. Penelitian ini mengkaji tentang kebijakan dan usaha NU dalam pemberdayaan perempuan tahun 1989-1997, penelitian ini menggunakan metode penelitian sejarah. Kebijakan yang telah dibuat NU dalam pemberdayaan perempuan yaituperempuan harus memiliki kualitas dari segi pengetahuan dan keterampilan yang baik, kemudian perempuan harus sesuai kodrat wanita Islam, perempuan mendapat pendidikan yang sama dengan laki-laki dan terakhir kebijakan perempuan berhak mendapat kesehatan dan bebas dalam berpolitik. Kebijakan tersebut diimplementasikan NU melalui usaha-usaha yaitu forum diskusi, pelatihan-pelatihan keterampilan, pembangunan fasilitas pendidikan dan kesehatan, mengadakan seminar, dan terakhir Training Gender. Hal itu berlangsung mulai tahun 1989 sampai 1997. Penelitian ini diharapkan dapat memotivasi semua kalangan baik perempuan dan laki-laki, untuk ikut serta mengimplementasikan peranan yang dilakukan organisasi NU dalam pemberdayaan perempuan, agar tidak terjadi pelanggaran-pelanggaran hak asasi perempuan maupun diskriminasi perempuan.
DEVELOPMENT OF HISTORICAL LEARNING E-MODULES BASED ARCS (ATTENTION, RELEVANCE, CONFIDENCE, SATISFACTION) Anik Oktaviani; Nurul Umamah; Marjono Marjono; Riza Afita Surya
JURNAL HISTORICA Vol. 5 No. 1 (2021): June 2021
Publisher : History Education, University of Jember

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The 2013 curriculum is based on 21st century competencies which engage technology in learning. This study aimed to establish a validated product in the form of an ARCS-based e-module. The development research procedure was performed using the Plomp model development by Treejrd Plomp. The Plomp model composes of 5 phases, namely: the preliminary investigation phase, the design phase, the realization/construction phase, the test phase, evaluation and revision, and the implementation phase. The results of the material content expert test achieved 86.37% categorized as "very feasible", the validation of the linguist achieved 84% categorized as "very feasible", the validation of the design achieved 97% categorized as "very feasible". The development of ARCS-based history learning e-modules (Attention, Relevance, Confidence, and Satisfaction) is expected to be able to meet the needs of students in achieving learning goals. The benefit of this research is related to ARCS-based e-module.
Complex-Valued Neural Networks with Adaptive Frequency Attention for Image Denoising Marjono Marjono; Avin Maulana; Anggi Gustiningsih Hapsani
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.36851

Abstract

Image denoising encompasses various noise types; in this work, we focus specifically on periodic interference, which introduces coherent frequency-domain artifacts that are challenging to remove using conventional real-valued convolutional neural networks (CNNs). This paper introduces a Complex-Valued Neural Network with Adaptive Frequency Attention (CVNN-AFA) tailored to periodic noise removal, integrating complex-domain feature propagation with explicit radial frequency-band modulation. The proposed architecture employs complex convolutions, complex batch normalization, and ModReLU activations to jointly model amplitude and phase information. An Adaptive Frequency Attention (AFA) module operates in the Fourier domain and partitions the spectrum into low-, mid-, and high-frequency radial bands using distance-based masks, enabling adaptive band-wise reweighting aligned with interference characteristics. Experiments on the BSDS500 dataset augmented with synthetic periodic noise evaluate both low-noise and moderate-to-high noise regimes under matched training budgets and strong real-valued frequency-aware baselines. Results indicate that CVNN-AFA achieves competitive performance overall and provides consistent, moderate improvements in low-amplitude settings, while the real-valued frequency-aware baseline remains more robust under extreme corruption levels. Qualitative and spectral analyses suggest that the proposed approach offers incremental attenuation of periodic components while maintaining comparable detail preservation. These findings are specific to the controlled periodic noise scenarios evaluated in this study.
Co-Authors Agung Mike Wijaya ahmad ryan pratama Aminullah Labangge Amru Sukmajati Anggi Gustiningsih Hapsani Anik Oktaviani Anik Oktaviani Avin Maulana Bambang Soepeno Baskoro Adi Prayitno Bowo Sugiharto Dedi Julianto Diah Ayu Octavia Dimas Surya Dwi Cahyo Djumala Machmud Dwi Suheryanto Fathoni Hari Bintara Fransisca Ayu Rismayanti Guruh Prasetyo Indah Rizki Aruma Nurjannah Kayan Swastika Maridi Maridi Nazidatul Khoiro Novita Sari Nurul Umamah Ony Widiarto Quraisyi Quraisyi Rahmad Anung Prasetya Wibawa Riza Afita Surya Riza Afita Surya Sri Handayani Sugiyanto Sugiyanto Sumardi Sumardi Sumarjono Sumarjono Sumarjono Sumarjono Supardi Supardi Umar Farouk Rulianto Vista Anindya Kusuma Yeni Novita Sari Yulia Agustin Yuliana, Ana Yunita Ika Mujianti