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Menampilkan 191–200 dari 6281 artikel
A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
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KEPEMIMPINAN AUTENTIK DAN PENYESUAIAN PEKERJAAN:INFLUENSI KETERLIBATAN KERJA TERHADAP KINERJA PEGAWAI DINAS PERHUBUNGAN KABUPATEN PEMALANG
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini dilatarbelakangi oleh pentingnya peningkatan kinerja pegawai sektor publik yang sering terkendala birokrasi, budaya organisasi hierarkis, dan regulasi ketat. Kepemimpinan autentik dan penyesuaian pekerjaan dipandang sebagai faktor yang dapat
memengaruhi kinerja pegawai baik secara langsung maupun melalui keterlibatan kerja. Kepemimpinan autentik berperan dalam menciptakan iklim kerja yang terbuka dan penuh integritas, sedangkan penyesuaian pekerjaan memberi ruang bagi pegawai me...
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Penguatan Aparatur Sekretariat DPRD dalam Perspektif Institusionalisme: Integrasi Old Institutionalism, New Institutionalism, dan Teori Tiga Pilar Kelembagaan
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The strengthening of the Secretariat apparatus of the Regional Representative Council (DPRD) is a strategic issue in the governance of legislative administration at the regional level in Indonesia. However, studies on the DPRD Secretariat remain relatively limited and tend to emphasize structural and regulatory aspects, without comprehensively addressing institutional dynamics. This study aims to strengthen the DPRD Secretariat apparatus through an institutionalist perspective, using the Institu...
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Implementasi Agile Governance dalam Meningkatkan Kualitas Pelayanan Publik: Studi Keterbatasan SDM di Kelurahan Meteseh Semarang
Public Service And Governance Journal
Vol 7
, No 1
(2026)
Public services at the sub-district level still face various obstacles, particularly limited human resources (HR), which impact the quality of services to the public. On the other hand, increasing public demands require sub-district governments to be more adaptive and responsive. This study aims to analyze the implementation of agile governance in improving the quality of public services under conditions of limited HR in Meteseh Sub-district, Semarang City. This study used a mixed methods approa...
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Enhancing the GLANCE Framework for Line-Level Defect Prediction: An Empirical Study of Semantically-Aware Metrics and Non-Linear Classifiers
Telematika
Vol 18
, No 2
(2026)
Line-level defect prediction (LLDP) is critical for reducing software maintenance costs, yet its industrial adoption is often hindered by high false alarm rates that erode developer trust. While the state-of-the-art GLANCE-LR framework offers a lightweight solution, it relies on linear classifiers and purely syntactic heuristics, failing to capture the non-linear defect patterns and semantic risks associated with complex code constructs. To bridge the gap between operational efficiency and seman...
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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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A Participatory GIS Framework for Multi-Hazard Climate Risk Mapping in Indonesia
Fariz, Trida Ridho
; Budiarti, Ratna
; Listyarini, Jassica
; Puspitasari, Atikah Tri
; Calysta, Nadia
; Naufal, Muhammad Ahganiya
; Heriyanti, Andhina Putri
; Eralita, Norma
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Climate change has emerged as a global crisis with severe consequences for tropical and coastal regions. Pekalongan Regency, Indonesia, exemplifies these challenges, facing recurrent floods and landslides that threaten livelihoods and infrastructure. Risk mapping is urgently needed to guide adaptation strategies, yet many regions face constraints due to limited data availability. This study develops a multi-hazard risk mapping approach that integrates Geographic Information System (GIS) technolo...
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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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Pengembangan Aplikasi Analisis Sentimen pada Media Sosial XYZ untuk Pengumuman Acara Semilir Japan Matsuri 3 Menggunakan Metode SVM
Vol 5
, No 1
(2026)
Perkembangan media sosial yang pesat telah menghasilkan volume data teks yang sangat besar dalam bentuk opini dan ulasan pengguna. Analisis manual terhadap data ini untuk memahami sentimen publik tidak lagi efisien. Hal inilah yang mendasari dibuatnya sebuah aplikasi analisis sentimen otomatis menggunakan metode machine learning Support Vector Machine (SVM). Untuk mendukung penelitian yang dilakukan, peneliti menggunakan metode penelitian Research and Development (R&D) serta perancangannya m...
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Implementation of an Enterprise Resource Planning (ERP) System for Production Management and Raw Material Inventory in the Garment Industry
Syahwa Mutiara Putri
; Anita Rahmawati
; Alfina Chintya Bella
; Damar Aji Gurowo
; Supriyono Supriyono
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Industri garmen memiliki proses produksi yang kompleks dan ketergantungan tinggi terhadap ketersediaan bahan baku. Penggunaan sistem yang belum terintegrasi sering menimbulkan ketidaksesuaian data persediaan, keterlambatan produksi, dan keterbatasan dukungan dalam pengambilan keputusan manajerial. Kondisi tersebut mendorong perlunya penerapan sistem informasi terintegrasi. Penelitian ini menganalisis penerapan Enterprise Resource Planning (ERP) yang terintegrasi dengan Material Requirements Plan...
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