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Development of an Early Childhood Education Curriculum Model to Build Traffic Discipline Awareness Through a Musical Arts Approach
Paudia
Vol 15
, No 1
(2026)
Character education should teach kids about traffic discipline from a young age to lower the chance of accidents and help them become more socially responsible. This study seeks to build a cohesive curriculum model for early childhood education centred on character development through music education to promote traffic discipline. The research employed a systematic literature review in accordance with the PRISMA procedure, encompassing the stages of identification, screening, eligibility evaluat...
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A Graph-Augmented Isolation Forest Using Node2Vec and GraphSAGE for Mobile User Behavior Anomaly Detection
Amaka Patience Binitie
; Sunny Innocent Onyemenem
; Nneamaka Christiana Anujeonye
; Arnold Adimabua Ojugo
; Francesca Avwuru Egbokhare
; Tabitha Chukwudi Aghaunor
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddi...
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PENGARUH GAYA KEPEMIMPINAN, MOTIVASI KERJA DAN BUDAYA ORGANISASI TERHADAP KINERJA KARYAWAN STIE TOTALWIN SEMARANG
Probisnis
Vol 19
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis pengaruh gaya kepemimpinan, motivasi kerja, dan budaya organisasi terhadap kinerja karyawan di STIE Totalwin Semarang. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Teknik pengumpulan data dilakukan melalui penyebaran kuesioner kepada karyawan STIE Totalwin Semarang. Analisis data menggunakan analisis regresi linier berganda dengan bantuan software SPSS. Hasil penelitian menunjukkan bahwa gaya kepemimpinan, motivasi kerja, dan...
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Graph-Theoretical Approach to Clusters – Analysis of Clusters with 5–11 Vertices –
Sekine, Rika
; Hayakawa, Shogo
; Taki, Sota
; Sato, Moemi
; Ikegaya, Haruki
; Kimura, Hiroto
; Nakata, Tomoya
; Murono, Ayumi
; Kobayashi, Yosuke
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
In this study, we systematically analyzed all isomers of 5–11 atom clusters using a graph-theoretical approach and evaluated their maximum Hückel energy (HE) within the Hückel approximation. The maximum HE increased with the number of bonds, reached a maximum at an intermediate value, and then decreased again, with the peak located near the average of the minimum and maximum possible edge numbers. This relationship was well reproduced by a simple linear expression. The isomers with maximum HE we...
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Optimalisasi Ruang Terbuka Hijau Melalui Pendekatan Desain Lanskap Berbasis Masyarakat
Jurnal Suara Pengabdian 45
Vol 5
, No 1
(2026)
Pemanfaatan lahan kosong di wilayah perdesaan sering kali belum optimal akibat rendahnya pemahaman masyarakat terhadap fungsi ruang terbuka hijau dan konsep desain lanskap. Desa Suka Makmur, Kabupaten Pohuwato, merupakan salah satu wilayah yang memiliki lahan terbuka cukup luas namun berada dalam kondisi gersang dan belum tertata. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman masyarakat mengenai pemanfaatan lahan kosong melalui sosialisasi dan edukasi desain lanskap r...
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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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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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Analysis and Design Android Augmented Reality Platform (Bilingual) for the Preservation of Cirebon Glass Paintings
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
This study analyzes and designs a bilingual Android Augmented Reality (AR) platform to support the digital preservation of Cirebon Glass Paintings. The development uses Unity and AR Core with a human-centered design approach. A total of 30 participants (n=30) evaluated usability and performance. 3D assets were produced using photogrammetry with an optimized polygon budget of ≤25,000 triangles per object. Model compression applied Draco and KTX2 to reduce memory load. Benchmark testing was conduc...
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Pengaruh Jenis Katalis Heterogen Terhadap Nilai Kalor Dari Minyak Jelantah Melalui Proses Transesterifikasi
Vol 5
, No 3
(2026)
Thel delpleltion of fossil fuell relsourcels and increlasing elnvironmelntal issuels havel intelnsifield thel neleld for sustainablel relnelwablel elnelrgy altelrnativels. Biodielsell has elmelrgeld as a promising substitutel fuell duel to its relnelwablel naturel, elnvironmelntal compatibility, and its production from velgeltablel oils and wastel cooking oil. This study invelstigatels thel influelncel of biomass-baseld heltelrogelnelous catalysts on thel calorific valuel of biodielsell delrivel...
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