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All Journal Saintia Matematika JKBM (JURNAL KONSEP BISNIS DAN MANAJEMEN) Journal of English for Academic and Specific Purposes (JEASP) International Journal of Supply Chain Management Business Innovation and Entrepreneurship Journal Indonesian Journal of Business Intelligence (IJUBI) Al-Misbah : Jurnal Islamic Studies Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Al-Muaddib : Jurnal Kajian Ilmu Kependidikan Rausyan Fikr : Jurnal Pemikiran dan Pencerahan Jurnal Keperawatan Galuh Journal of Applied Data Sciences Jurnal Riset Pendidikan Dasar (JRPD) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Nabatia Jurnal MIPA dan Pembelajarannya Prawara: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia JURNAL PENDIDIKAN BAHASA
Sutarman Sutarman
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Transportation Other

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The Semantic Shift of War: A Comparative Analysis of Political Discourse on the Gaza Conflict across News, Speech, and Social Media Sutarman Sutarman; Zainudin Abdussamad
JURNAL PENDIDIKAN BAHASA Vol. 15 No. 4 (2025): JURNAL PENDIDIKAN BAHASA
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpb.v15i4.3764

Abstract

This study investigates the rapid semantic shifts of political terminology within the context of the 2025 Israel-Gaza conflict. Grounded in the cognitive-functional frameworks of Blank and Traugott and Dasher, the research analyzes how lexical meaning is constructed and altered across three distinct registers: international news media (Al Jazeera), diplomatic speech (UN Secretariat), and institutional social media (UN Human Rights). Using a qualitative descriptive approach, 15 key lexicons were analyzed to identify patterns of semantic change, including broadening, narrowing, and pejoration. The findings reveal three divergent trajectories of meaning: (1) Institutional Specialization in diplomatic speech, where general ethical terms like accountability are narrowed into performative legal demands; (2) Pragmatic Broadening in news media, where technical terms like ceasefire expand to encompass complex humanitarian narratives; and (3) Emotive Intensification on social media, where descriptive phrases undergo hyperbolic shifts to mobilize digital publics. The study concludes that political conflict acts as a catalyst for semantic change, driven by the opposing forces of institutional need for legal precision and the media’s drive for affective impact. These results support the view that semantic change is fundamentally discourse-driven and highly sensitive to the communicative affordances of the platform.
Diffusion2D and Anchored Inference for Asymptotic Stabilization of Diffusion-Convolutional Neural Networks in Multidomain Medical Image Classification Hanna Willa Dhany; Sutarman Sutarman; Poltak Sihombing; Mohammad Andri Budiman
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1215

Abstract

Medical image classification across heterogeneous domains remains challenging due to domain shift, spatial variability, and unstable inference behavior. This study proposes a diffusion-stabilized Diffusion-Convolutional Neural Network (DCNN) framework that integrates Diffusion2D and post-hoc Anchored Diffusion to improve inference stability, probabilistic consistency, and robustness in multidomain medical image classification. The main contribution of this work is the introduction of a two-stage stabilization mechanism in which Diffusion2D performs controlled intra-image diffusion on feature representations before graph construction, while Anchored Diffusion refines uncertain predictions in the logit space through a k-nearest neighbors graph without retraining. The framework was evaluated on heterogeneous medical imaging datasets consisting of brain MRI, leukemia microscopy, and COVID-19 chest radiographs. Experimental results show that the proposed approach maintained baseline classification performance with an accuracy of 64.70% while improving the Macro-F1 score from 0.7045 to 0.7061. The diffusion mechanism reduced the average Laplacian value from 0.864355 to 0.187525, corresponding to a 78.23% reduction in spatial gradient variability. Internal analysis further demonstrated stable diffusion coefficients with a mean value of 0.141734 and a standard deviation of 0.003757, indicating controlled diffusion behavior. Anchored Diffusion selectively refined uncertain predictions, affecting only 0.6% of evaluated samples while preserving overall decision consistency. Repeated inference experiments across 40 iterations also revealed highly stable confidence trajectories with no observable variance after diffusion stabilization. The novelty of this research lies in combining feature-level diffusion stabilization, post-hoc anchored inference, and asymptotic regularization within a unified DCNN framework, providing a theoretically grounded and uncertainty-aware approach for robust multidomain medical image classification.
PENGEMBANGAN SISTEM COMPUTER BASED TEST (CBT) TINGKAT SEKOLAH Sugiyono Sugiyono; Sutarman Sutarman; Tri Rochmadi
Indonesian Journal of Business Intelligence (IJUBI) Vol 2 No 1 (2019): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v2i1.917

Abstract

Evaluation activities are part of the learning process at every level of education. The evaluation model or method also varies, from written tests to practical tests. Of the many evaluation methods, written evaluation or written test is an evaluation method that takes up a lot of paper, which is about 166 million pieces of paper for one national examination throughout Indonesia. The purpose of this study is to use a Computer Based Test (CBT) system that can be used as an alternative to overcome the problem of excessive paper use. The research method used in this study is R & D combined with ADDIE learning design concepts. This CBT system uses the PHP (Persolan Hypertext Preprocessor) programming language with a MySQL database connection to manage the content of the CBT system itself. This CBT system is intended for junior high / high school / vocational / equivalent levels with a trial percentage value of 83.34% for product validation test, 100% for operator user test and 88.94% for user test.
Co-Authors Agus Salim Anastasya Bernike Br Ginting Asima Manurung Azhar Affandi Bambang Tahan Sungkowo Barlian, Ujang Cepi Beby K.F Sembiring Berampu, Lailan Tawila Choirul Huda Daniel Akbar Wibowo Desi Darma Wulan Enita Dewi Br Tarigan Erwin Yulianto Esther Nababan Hanna Willa Dhany Haryono Edihermawan Iman Sudirman Ina Primiana Sagir Isnaini Hafizhah Aziz Katrin Evalastri Hutapea Laili Baitu Masithoh Lela Rahmawati Lina Sukanti M. Fatah Amarulloh M. Juli Nurudin Meliya Ningrum MIFTAHUL JANNAH Moh. Sidik Priadana Mohammad Andri Budiman Musfika Rati Nawal El Zuhby Ngurah Ayu Nyoman Murniati Nila Fitri Faidzah Novi Irwansyah Nunung Nurmaesah Nurmaesah, Nunung Nurul Lahdilah Fitri Open Darnius paham ginting Poltak Sihombing Queenty Dhea Haura Br Sitepu Rachmad Sitepu Ragita Gusniar Nazila Rani Salwa Ussyifa Siregar, Machrani Adi Putri Sirojuzilam Hasyim Siti Maisaroh Sri Muryati SRI WULANDARI Sugiyono Sugiyono Syahputra, Muhammad Romi Syamsiar, Syamsiar Tri Rochmadi Wiwik Darmini Zahedi Zahedi Zainudin Abdussamad