Telkom University, also referred to by its acronym of Tel-U, is a private university located in Bandung, West Java, Indonesia. It was established in 2013 with four institutions, which were under Telkom Indonesia through its education-focused wing, Telkom Education Foundation (now Telkom Foundation), were merged to form the university. These four forming institutions were Telkom Institute of Technology (IT Telkom - Institut Teknologi Telkom), Telkom Institute of Management (IM Telkom - Institut Manajemen Telkom), Telkom Polytechnic (Politeknik Telkom), and the Telkom College of Art and Design Indonesia (STISI Telkom - Sekolah Tinggi Seni Rupa dan Desain Indonesia Telkom). The university, like its preceding institutions, maintains links with hundreds of companies, many of which involved in the telecommunications sector.The main campus site of Telkom University extends on the 48ha-area of Bandung Technoplex (BT-Plex), on Jalan Telekomunikasi – Terusan Buahbatu, Kabupaten Bandung. Other campus is located in Gegerkalong Hilir area, north of the city of Bandung, at the office area of PT. Telkom's Research and Development Center and Telkom Corporate University/Telkom Training Center.
This study aims to examine the influence of environmental awareness capability on business sustainability by integrating green innovation as a mediating mechanism and gender and business scale as boundary conditions. Grounded in the literature on business strategy and development, this study uses a quantitative design. It used survey data from 132 owners and managers of micro, small, and medium enterprises (MSMEs) in West Java, Indonesia. The analysis employs Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that environmental awareness capability strongly drives green innovation and directly improves business sustainability. Green innovation also partially mediates this relationship. Business scale negatively impacts the link between environmental awareness and green innovation. This suggests that sustainability-oriented strategies are more effective for smaller firms, while gender does not moderate their effectiveness. This study provides new empirical evidence from a subnational developing economy context. It clarifies how strategic capabilities interact with organizational scale to affect sustainability outcomes. The findings offer actionable insights for MSME strategists and policymakers aiming to develop context-sensitive sustainability strategies.
PurposeThis study aims to examine the direct influence of activity-based costing (ABC) methods, innovation, information technology and service quality on competitive advantage in the small and medium-sized enterprises' (SMEs') manufacturing firms.Design/methodology/approachThe authors use a cross-sectional survey of manufacturing SMEs in Yogyakarta, Indonesian. Purposive sampling was used to identify eligible firms, and non-probability sampling was used to recruit managers and production employees as respondents. After a data screening, 432 valid questionnaires were analyzed. Competitive advantage, ABC, innovation, IT and service quality were measured using established multi-item scales, and the data were analyzed using multiple linear regressions.FindingsContrary to dominant expectations in the literature, the authors do not find statistically significant positive relationships between ABC, innovation or IT and competitive advantage. Their regression coefficients are small and not significantly different from zero. By contrast, service quality displays a positive and statistically significant association with competitive advantage and explains a substantial share of the variance in the dependent variable.Practical implicationsFor manufacturers operating in resource-constrained environments, investments in ABC, innovation and IT do not automatically yield competitive returns. Managers should prioritize strengthening service-quality capabilities such as reliability, responsiveness and assurance to customers before or alongside more complex cost-management and technology initiatives. Careful alignment between ABC/IT projects and the firm's strategic priorities and implementation capacity is essential.Originality/valueThis study offers new evidence that, contrary to much of the literature, activity-based costing, innovation, and information technology do not necessarily enhance competitive advantage in manufacturing SMEs. Instead, it identifies service quality as the primary driver, providing a more context-specific understanding of competitive advantage in resource-constrained environments.
Exposure to domestic violence profoundly disrupts child development. However, the specific psychosocial impacts of expeeriencing violence in rural, close-knit communities remain underexplored. Therefore, this study aims to analyze the psychosocial consequences on children aged 6–12 exposed to domestic violence in North Aceh, Indonesia, using Erikson Psychosocial Theory as an analytical framework. A qualitative descriptive design was used on 13 participants selected through purposive sampling. Data were collected through in-depth interviews with children, supplemented by field observations and secondary data verification to ensure validity. The results showed three critical themes, namely (1) Internalized Emotional Trauma, where children manifest chronic fear and hopelessness; (2) Social Stigma and Shame, where the communal nature of village life leads to peer ridicule and severe social withdrawal, (3) Academic Disengagement, marked by a loss of motivation and focus. From the perspective of Erikson theory, the traumatic experiences actively obstruct the developmental stage of "Industry," trapping children in a state of "Inferiority." In communal cultures, the impact of domestic violence is worsened by social stigma. Therefore, interventions must extend beyond family counseling to include community-based anti-stigma programs and school support systems to restore children psychosocial well-being.
Ultra-wideband (UWB) signals face challenges owing to complex obstacles in non-line-of-sight (NLOS) and multipath propagation. Distinguishing between NLOS and multipath signal propagations is crucial for differentiating the positioning error corrections. The application of edge and real-time computing presents a challenge in producing a model that is both simple and highly accurate. This study presents PFS-REM, a compact multi-class dataset designed to classify LOS, NLOS, and multipath conditions while reducing model complexity. The dataset was developed using PFS to select five key features: RXPower, FPPower, CIR, SNR, and Ranging from a secondary dataset, followed by REM to minimize ranging errors by 93.3% using an ESP32 UWB Pro module with a DW1000 chip. Measurements were conducted in controlled environments with varied antenna orientations (direct, perpendicular, and opposite) to simulate real-world conditions. The experimental results show that classification models, notably RF (with 99.7% accuracy), trained on PFS-REM achieve an over 50% reduction in execution time compared to models using 12 features, while maintaining high performance. Feature analysis revealed distinct signal characteristics across line-of-sight (LOS), non-line-of-sight (NLOS), and multipath scenarios, enhancing the dataset reliability. This approach supports the development of lightweight models suitable for edge computing and realtime indoor positioning applications, addressing the trade-off between accuracy and computational efficiency in complex environments.
The rapid expansion of telecommunication infrastructure in developing countries has increased the demand for sustainable strategies to deploy field engineers in tower maintenance operations. Traditional approaches often neglect spatial factors, resulting in inefficient workforce allocation, excessive travel, and higher carbon emissions. This study develops an applied geospatial deployment framework that integrates spatial analysis with sustainable supply chain management (SSCM) principles to support operational decision-making in resource-constrained telecommunication maintenance environments. Using publicly available tools, tower and homebase coordinates were mapped and analyzed through Haversine-based geodesic distance calculations, with a comparative assessment against Euclidean approximation, while incorporating operational constraints such as service time per tower, available personnel, and work-hour limitations. The results indicate that the existing two-homebase deployment strategy leads to unbalanced workloads and unnecessary travel distances. By introducing a cluster-based restructuring using k-means to identify four sub-homebases, the proposed approach reduces total round-trip travel distance from 9120 km to 5913 km per maintenance cycle, representing a 35.2% reduction. This distance reduction corresponds to an estimated saving of approximately 593 kg of CO2 emissions per maintenance cycle, representing an operational-scale reduction in travel-related emissions based on distance-derived fuel consumption modeling and assuming typical fuel efficiency for service vehicles. In addition, the optimized spatial configuration enables a more equitable distribution of engineers and reduces travel-related fatigue. These findings demonstrate the value of integrating geospatial optimization with sustainable supply chain management by aligning operational efficiency with quantifiable environmental and social sustainability outcomes. The proposed framework offers a replicable, low-cost, and data-driven solution for telecommunication infrastructure providers seeking to enhance the sustainability of field service operations in resource-constrained environments.
