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Menampilkan 351–360 dari 8610 artikel
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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Pengaruh Tingkat Pendidikan Terhadap Kualitas Laporan Keuangan Berbasis SAK EMKM Dengan Sistem Informasi Akuntansi Sebagai Variabel Moderasi : Studi Kasus Pada Coffee Shop Kota Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the effect of education level on the quality of financial statements based on SAK EMKM, with accounting information systems as a moderating variable, focusing on coffee shop micro, small, and medium enterprises (MSMEs) in Kediri City, Indonesia. A quantitative approach was employed using primary data collected through structured questionnaires distributed to 32 business owners or financial managers selected by purposive sampling. Data were analyzed using descriptive st...
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Artificial Intelligence in Decision Support Systems for Job Promotions
Telematika
Vol 18
, No 2
(2026)
Educational Personnel have an important role in supporting the success of education. Educational Personnel have a role in carrying out administration, management, development, supervision, and technical services to support the educational process in educational units. The declining performance of education personnel at the junior high school level in West Jakarta, particularly due to the ineffectiveness of the promotion system, demonstrates the need for an objective, data-driven assessment mecha...
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Systematic Review of Supervised Learning Models for Network Flood Detection (NFD): Trends, Performance Evaluation, and Implementation Insights
Habibi, Roni
; Universitas Logistik dan Bisnis Internasional
; Widana, Naufal Dekha
; Universitas Logistik dan Bisnis Internasional
Telematika
Vol 18
, No 2
(2026)
Due to the growing volume, speed, and sophistication of malicious traffic, Network Flood Detection (NFD), especially in the context of Distributed Denial of Service (DDoS) assaults, continues to be a crucial challenge in contemporary network security. Supervised machine learning has been widely used to enhance the precision, scalability, and real-time detection capabilities of NFD systems. However, current research reveals inconsistent results on the optimal supervised learning algorithm, most...
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Functional Evaluation of the Logia Dashboard Using Boundary Value Testing and Cause-Effect Graph Techniques
Ramadhan, Muhammad Rizky Aulia
; Unversitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Nugrahadi, Dodon Turianto
; Universitas Lambung Mangkurat
; Saputro, Setyo Wahyu
; Universitas Lambung Mangkurat
; Herteno, Rudy
; Universitas Lambung Mangkurat
; Friska Abadi, Universitas Lambung Mangkurat
; Dodon Turianto Nugrahadi, , Universitas Lambung Mangkurat
; Setyo Wahyu Saputro, Universitas Lambung Mangkurat
; Rudy Herteno, Universitas Lambung Mangkurat
Telematika
Vol 18
, No 2
(2026)
The Logia Dashboard is a web-based information system used to manage rehabilitation plant data on post-mining land. As an alpha-stage system, Logia requires thorough functional and performance evaluation to ensure that all input validations, logical processes, and system responses operate correctly before wider implementation. This study aims to evaluate the functional reliability and performance of the Logia Dashboard by applying a combined approach of Boundary Value Testing (BVT) and Cause-Eff...
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Comparative Analysis of Support Vector Machine and IndoBERT Algorithms in Stance Detection on Political Issues in Social Media X: A Case Study of BPI Danantara
Taniputra, Dhammananda
; Universitas Dinamika Bangsa
; Beny, Beny
; Universitas Dinamika Bangsa
; Lucia, Lidwina Demai
; Universitas Dinamika Bangsa
; Velysha, Rachel
; Universitas Dinamika Bangsa
Telematika
Vol 18
, No 2
(2026)
Stance detection is an NLP task aimed at identifying and classifying a writer’s attitude toward a topic as supportive, opposing, or neutral based on text analysis, providing deeper insights into public opinion and supporting data-driven decision-making. This study focuses on Indonesian society’s stance toward the National Investment Management Agency (BPI Danantara), which has received positive responses for its economic potential as well as negative reactions due to concerns over governance and...
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Addressing Algorithmic Bias and Data Privacy in Human Resource Management
Herdiana, Hendi
; Universitas Pendidikan Indonesia
Universitas Indonesia
Universitas Diponegoro
; Munir, Munir
; Department Management, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
; Hurriyati, Ratih
; Department Management, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
; Sultan, Mokh. Adib
; Department Management, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
; Tua, Frans David
; Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia
; Ergashevna, Buriyeva Kibrio
; Faculty of pedagogical, Chirchik State Pedagogical University, Chirchik, Uzbekistan
Telematika
Vol 18
, No 2
(2026)
Artificial intelligence (AI) has transformed Human Resource Management (HRM) by automating recruitment, enhancing performance evaluation, and enabling data-driven workforce planning. However, its adoption raises critical concerns related to algorithmic bias, data privacy, and employee trust, creating a significant gap in understanding how these technical and ethical dimensions interact. This study aims to synthesize current evidence on the impact of AI on HRM functions, the challenges associated...
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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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