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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
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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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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Pengaruh Struktur Modal dan Perputaran Aset Tetap terhadap Tingkat Pengembalian Aset pada PT Argo Pantes Tbk Periode 2013-2022
Populer: Jurnal Penelitian Mahasiswa
Vol 4
, No 4
(2026)
This study aims to examine and analyze the effect of capital structure and fixed asset turnover on return on assets (ROA) at PT Argo Pantes Tbk during the period 2013–2022. The research employs a quantitative method with a statistical analysis approach, using secondary data obtained from the company’s financial statements. The data analysis techniques include classical assumption tests, namely normality, multicollinearity, heteroscedasticity, and autocorrelation tests, followed by multiple linea...
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Analisis Sentimen X: Kegagalan Timnas ke Piala Dunia 2026 dengan Naive Bayes
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-sampl...
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Differentiated Learning in the Independent Curriculum to Enhance Mathematical Connection and Resilience of State Junior High School Students in East Kalimantan Province
Absis: Mathematics Education Journal
Vol 7
, No 2
(2025)
This quasi-experimental study aims to analyze the effectiveness of differentiated learning within the Merdeka Curriculum in enhancing the mathematical connection and resilience of junior high school students in East Kalimantan Province. The research employed a pretest-posttest control group design, involving purposively selected eighth-grade students from several public schools. Data was collected through a mathematical connection test, a resilience questionnaire, and learning process observatio...
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Cultural and Digital Integration: Revitalization Strategy For Sumbawa Horse Racing As A Sustainable Tourism Destination at Angin Laut Biru Arena: Integrasi Budaya dan Digital: Strategi Revitalisasi Pacuan Kuda Sumbawa sebagai Destinasi Pariwisata Berkelanjutan di Arena Angin Laut Biru
RADIANT: Journal of Applied, Social, and Education Studies
Vol 7
, No 1
(2025)
This study examines a critical intervention in revitalizing intangible cultural heritage through digital symbiosis, focusing on the Sumbawa traditional horse race (Bare Spee) at Angin Laut Biru Arena. As a living embodiment of indigenous values including honor (siri'), communal solidarity (menyama braya), and ethno-ecological wisdom, this tradition faces erosion due to generational disconnect, infrastructural neglect, and rigid management practices. Addressing the lack of integrated digital and...
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Inovasi Produk dan Pelatihan Manajemen Bisnis untuk UMKM Pakaian Tradisional Palembang dalam Mengembangkan Potensi Wisata Fashion Lokal
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 4
, No 4
(2025)
This community service program aims to enhance the capacity of traditional clothing UMKM in Palembang through product innovation and business management training in order to support the development of local fashion tourism. UMKM engaged in producing songket, jumputan, and Palembang batik possess significant economic and cultural potential; however, they face various challenges, including limited design innovation, weak business management skills, and insufficient utilization of digital technolog...
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Adaptasi Cerdas: Hubungan Investasi Digital, Kualitas Layanan, dan Peningkatan Pendapatan Hotel
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 4
, No 4
(2025)
The hospitality sector faces major challenges, including fierce competition, low occupancy rates, and high operating costs, especially post-COVID-19 pandemic. This article examines how adaptation strategies, particularly through digital investments, affect customer satisfaction and hotel occupancy rates. This study uses a mixed method approach, combining quantitative and qualitative methods. Qualitative data was collected through in-depth interviews with managers, staff, and guests at five hotel...
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