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Menampilkan 21–30 dari 528 artikel
Assessing Spatiotemporal Dynamics of AI-based Land Use and Land Cover through Sentinel-2 Time-Series Imagery: A Case Study of the Shimbay District, Republic of Karakalpakstan, Uzbekistan
Jumaniyazov, Ilyaskhoja
; Juliev, Mukhiddin
; Reimov, Mamanbek
; Oymatov, Rustam
; Inamov, Aziz
; Yunusov, Begench
; Abdramanova, Dilbar
Forum Geografi
Vol 40
, No 1
(2026)
Land use and land cover (LULC) change is a vital indicator of environmental transformation and sustainable land management, particularly in arid and semi-arid regions such as Karakalpakstan. Although several studies have explored LULC dynamics across Central Asia, most have focused on large-scale or regional assessments, leaving a gap in district-level analyses that capture localized land transformation processes. This study addresses this gap by examining the temporal dynamics of LULC in the Sh...
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Unifying Dual-Pyramid Structure and Y–G Channel Synergy for Full-Reference Image Quality Assessment
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Standard metrics such as SSIM often overlook complex chromatic distortions, creating a gap between objective scores and human judgment. To address this, we present the Synergistic Structural Similarity Index (SSSI), a metric grounded in a novel dual-pyramid strategy that integrates Gaussian-blurred stability with direct subsampling sharpness. Our method departs from luminance-only analysis by employing an equal, synergistic partnership between the luminance (Y) and Green (G) channels, mirroring...
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Peningkatan Kinerja Guru Melalui Pelatihan Manajemen Sekolah Dan Disiplin Guru di SMP Negeri 03 Limboto Barat
Jurnal Suara Pengabdian 45
Vol 5
, No 1
(2026)
Kinerja guru merupakan faktor kunci dalam peningkatan mutu pembelajaran di sekolah. Namun, masih terdapat keterbatasan pemahaman guru terhadap manajemen sekolah dan penerapan disiplin kerja yang berdampak pada optimalisasi kinerja. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kinerja guru melalui pelatihan manajemen sekolah dan pembinaan disiplin guru di SMP Negeri 03 Limboto Barat. Metode yang digunakan adalah pendekatan partisipatif melalui pelatihan, diskusi, praktik...
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Perancangan Sistem Informasi Pemesanan Di Plaza Meubel Jati Masrum
Rafli, Muhammad
; Winarso, Doni
; Abdullah, Faiz
; Safirda, Auril
; Mangapul, Riva
; Rafli, Muhammad
; Winarso, Doni
; Abdullah, Faiz
; Safirda, Auril
; Mangapul, Riva
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
Perkembangan teknologi informasi yang pesat menuntut organisasi bisnis untuk meningkatkan efisiensi operasional, namun CV. Plaza Meubel Jati Masrum yang berdiri sejak tahun 1982 masih menggunakan sistem pencatatan manual yang menimbulkan berbagai permasalahan, seperti data tidak terbaca, kesalahan penulisan, kesulitan memperoleh laporan keuangan dan laba rugi, hilangnya bukti soft file, serta ketidakpastian kedatangan barang restock dari pemasok. Penelitian ini bertujuan untuk merancang sistem i...
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Spatial Analysis of Flood-Prone Areas in Padang Terap, Kedah: Integrating Spatial Autocorrelation and Optimized Hotspot Analysis
Ahmad, Azizul
; Said , Mohd Zulhafiz
; Abdul Gapor , Salfarina
; Jamru , Lindah Roziani
; Jubit , Norita
; Mohd Najib , Sumayyah Aimi
; Masron, Tarmiji
; Ariffin, Nur Afiqah
; Zakaria , Yaniza Shaira
Forum Geografi
Vol 40
, No 1
(2026)
Flooding increasingly threatens socio-economic resilience in Malaysia, particularly in vulnerable districts such as Padang Terap, Kedah. Using a GIS-based framework integrating Spatial Autocorrelation (Moran’s I) and Optimized Hotspot Analysis (Getis-Ord Gi*), this study quantifies spatial clustering of flood-prone areas across four inundation levels (0.3 m–3.7 m). Results reveal intensifying positive spatial autocorrelation with rising flood depths, reflecting hydrological connectivity and topo...
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Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features
Vineeta Khemchandani
; Alok Singh Chauhan
; Shahnaz Fatima
; Jalauk Singh Maurya
; Abhay Singh Rathaur
; Kumar Sharma, Narendra
; Daya Shankar Srivastava
; Vugar Abdullayev
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Cognitive workload plays a vital role in tasks that demand dynamic decision-making, especially under high-risk and time-sensitive conditions. An excessive workload can lead to unexpected and disproportionate risks, whereas insufficient workload may cause disengagement, undermining task performance. This underscores the importance of maintaining an optimal level of mental focus in high-pressure situations to ensure successful task execution. This study leverages deep learning methods alongside fu...
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Implementasi Metode Vision Transformer (ViT) Dalam Klasifikasi Jenis Tanah
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
This study applies the Vision Transformer (ViT) method to soil-type classification and evaluates its accuracy using digital images. The Vision Transformer (ViT) is a Deep Learning architecture that uses self-attention to extract global features from images, enabling it to recognize texture and color patterns more comprehensively than other convolutional methods. The dataset used consists of eight soil types, each containing 77 image data in “.jpg” format. Each image was processed and augmented t...
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Implementasi Metode Vision Transformer (ViT) Dalam Klasifikasi Jenis Tanah
Hasbi, Abdilah
; Ardollynata, Ardollynata
; Tumanggor, Benelekser
; Hasbi, Abdilah
; Ardollynata, Ardollynata
; Tumanggor, Benerlekser
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
This study applies the Vision Transformer (ViT) method to soil-type classification and evaluates its accuracy using digital images. The Vision Transformer (ViT) is a Deep Learning architecture that uses self-attention to extract global features from images, enabling it to recognize texture and color patterns more comprehensively than other convolutional methods. The dataset used consists of eight soil types, each containing 77 image data in “.jpg” format. Each image was processed and augmented t...
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Android Malware Detection Using Machine Learning with SMOTE-Tomek Data Balancing
Masari, Maryam Sufiyanu
; Danladi, Maiauduga Abdullahi
; Onyinye, Ilori Loretta
; Tohomdet, Loreta Katok
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a comprehensive comparative analysis of four traditional machine learning algorithms Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine for Android malware detection using the preprocessed TUANDROMD dataset comprising 4,465 instances and 241 features representing both static and dynamic application characteristics. Motivated by the limitations of conventional signature-based and hybrid detection methods, especially in managing imbalanced datasets an...
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Analisis Rencana Kebijakan Pelibatan Ekspatriat pada Jajaran Direksi di PT. Garuda Indonesia
Raihani Khairunissa Barni
; Syarach Agusti Ekasuci
; Ayu Maulani
; Sabillah Azhari
; Tati
; Abdullah Qiqi Asmara
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The policy of involving expatriates in the board of directors of State-Owned Enterprises (SOEs) has become a debated issue, particularly regarding its implications for corporate governance and national workforce interests. The main problem discussed in this article is how the policy of expatriate involvement in the board of directors of PT Garuda Indonesia is viewed from the perspective of Good Corporate Governance (GCG). This study aims to analyze the suitability of the policy with GCG principl...
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