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Implementasi Jaminan Kehilangan Pekerjaan dalam Penanganan PHK di Dinas Ketenagakerjaan dan Transmigrasi Kabupaten Sukabumi
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The Job Loss Guarantee Program (Jaminan Kehilangan Pekerjaan/JKP) is a social protection scheme designed to support workers affected by employment termination. However, its implementation at the local level still faces significant challenges. This study aims to examine the implementation of the JKP program in handling layoffs at the Manpower and Transmigration Office of Sukabumi Regency. The research employs a qualitative descriptive approach, using observation, in-depth interviews, and document...
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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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Development and Evaluation of an IndoBERT-Based NLP Model for Automated Clickbait Detection
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
The rapid growth of digital news platforms necessitates reliable and automated systems for maintaining content quality at scale. This study presents the engineering and evaluation of an IndoBERT-based Natural Language Processing (NLP) framework for automated clickbait detection in Indonesian news headlines. The proposed framework is designed as an end-to-end text classification pipeline, incorporating data preprocessing, tokenization, fine-tuning of a pretrained IndoBERT model, and systematic pe...
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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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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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