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Nampira, Ardi Azhar
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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ANALISIS TEKNO-EKONOMI SISTEM PV/WIND TURBINE DENGAN PENYIMPANAN ENERGI HIBRIDA BATERAI DAN FLYWHEEL DI PULAU DERAWAN, INDONESIA Nampira, Ardi Azhar; Putri, Vita Lystianingrum Budiharto
JURNAL DARMA AGUNG Vol 31 No 3 (2023): JUNI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Darma Agung (LPPM_UDA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46930/ojsuda.v31i3.3498

Abstract

Pembangkit listrik yang ada di Pulau Derawan terdiri dari 5 Diesel Generator (DG), sistem Photovoltaic (PV), dan Baterai Lead Acid. Penelitian ini bertujuan untuk mengoptimalkan integrasi teknologi PV dan Wind Turbine ke dalam pembangkit listrik hybrid, serta penyimpanan energi menggunakan Baterai Li-Ion (LI) dan Flywheel (FW). Optimalisasi dan simulasi dilakukan dengan menggunakan Software HOMER dengan megumpulkan berbagai data seperti beban per tahun, radiasi matahari dah kecepatan angin di Pulau Derawan. Terdapat 4 skenario yang dianalisa yaitu: 5DG/PV/LI, 5DG/PV/LI/FW, 5DG/PV/LI/ WT dan 5DG/PV/LI/WT/FW. Hasil optimal menunjukkan bahwa hanya diperlukan satu DG dengan konfigurasi DG/PV/LI/WT. Skenario 3 ini menghasilkan Net Present Cost (NPC) $1,78 juta, Levelized Cost of Energy (LCOE) $0,264/kWh, emisi CO 1.838 kg/yr, UHC 35.1 kg/yr, PM 3.47 kg/yr, NOx 69.4. Skenario ini memberikan kontribusi yang lebih rendah terhadap polusi udara dan dampak negatif terhadap lingkungan. Hasil analisisa menunjukkan bahwa penambahan Flywheel sebagai penyimpan energi memiliki investasi awal dan biaya O&M yang tinggi dibandingkan Baterai Li-Ion.
THE IMPACT OF RENEWABLE ENERGY USE ON BIODIVERSITY Irwanto, Miko Mei; Nampira, Ardi Azhar
MSJ : Majority Science Journal Vol. 3 No. 2 (2025): MSJ-MAY
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/msj.v3i2.368

Abstract

The global shift toward renewable energy is a crucial response to the climate crisis, yet it also brings ecological implications that are often overlooked. This study systematically examines the environmental impact of renewable energy infrastructures particularly solar, wind, hydro, and biomass on terrestrial and aquatic biodiversity. A total of ten peer-reviewed articles published between 2020 and 2025 were selected based on their relevance, methodological rigor, and ecological focus. The data were analyzed using a narrative-descriptive approach supported by manual thematic coding to identify recurring ecological patterns and mitigation strategies. The results indicate that solar farms contribute to habitat fragmentation and behavioral disturbances among birds and bats; wind turbines are linked to elevated mortality in flying species; and hydroelectric dams disrupt fish migration and reduce aquatic habitat quality. On the other hand, integrative technologies such as aquavoltaic systems and fish-friendly turbines demonstrate potential for minimizing ecological harm while meeting energy needs. This study contributes a synthesized understanding of how renewable energy infrastructures affect biodiversity across ecosystems and technological contexts. It highlights the importance of spatial planning, context-specific impact assessments, and ecosystem-based mitigation strategies. The findings are expected to inform policymakers, environmental planners, and industry stakeholders in designing renewable energy solutions that align with long-term ecological sustainability.
Utilization of Cloud Computing Technology in Improving Data Efficiency of Startups Nampira, Ardi Azhar; Syamsudin, Ahmad
Technologia Journal Vol. 2 No. 2 (2025): Technologia Journal - May
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/sc3hdr97

Abstract

The development of digital technology encourages startups to look for efficient solutions in data management. One technology that is widely adopted is cloud computing, as it offers flexibility, cost efficiency, and scalability. However, there are not many studies that specifically examine its impact on data efficiency in startups in Indonesia. This research aims to analyze how the use of cloud computing improves operational efficiency and data management in startups, while identifying challenges and best practices in its implementation. The method used is a qualitative case study approach involving several startups using cloud services in Indonesia as the main informants. The results show that cloud adoption has a positive impact on accelerating data access, improving team collaboration, and IT cost efficiency. Cloud also provides added value in terms of data security and scalability. Nevertheless, obstacles such as limited human resources and dependence on service providers are still the main obstacles. In conclusion, cloud computing is proven to be a strategic solution in improving data efficiency in startups, as long as it is balanced with organizational readiness and the right implementation strategy.
The Effect of Transformational Leadership and Work Environment on Organizational Productivity with Employee Performance as the Mediating Variable Subroto, Setyowati; Wahdiniawati, Siti Annisa; Nampira, Ardi Azhar; Rejeki, Marsudi Endang Sri; Syamsulbahri, Syamsulbahri
West Science Business and Management Vol. 3 No. 02 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i02.1967

Abstract

This study investigates the influence of transformational leadership and work environment on organizational productivity, with employee performance serving as a mediating variable among Indonesian MSME workers. Using a quantitative approach with 170 samples and data analyzed via Structural Equation Modeling-Partial Least Squares (SEM-PLS), the findings reveal significant direct and indirect relationships. Transformational leadership and work environment positively impact employee performance, which in turn significantly enhances organizational productivity. Employee performance is confirmed as a critical mediating factor, emphasizing the importance of leadership and conducive work environments in achieving optimal productivity. The study provides valuable insights for MSME leaders to strategically invest in human capital and organizational culture to foster growth and competitiveness.
Bibliometric Analysis of Open Innovation Research Trends in the Technology Industry Judijanto, Loso; Nampira, Ardi Azhar; Safitri, Telma Anis
West Science Business and Management Vol. 3 No. 02 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i02.1989

Abstract

Open innovation has emerged as a critical paradigm in the technology industry, enabling firms to leverage external knowledge and collaborative networks to accelerate innovation and enhance competitiveness. This study conducts a comprehensive bibliometric analysis of open innovation research from 2003 to 2024 using data extracted from the Scopus database. By employing VOSviewer software, the study visualizes keyword co-occurrences, temporal trends, author co-citation networks, and international collaboration patterns. The results reveal that the field has matured significantly, with foundational themes such as knowledge transfer, absorptive capacity, and product development remaining central. Concurrently, emerging topics including artificial intelligence, business models, sustainability, and digital ecosystems reflect the evolving relevance of open innovation in addressing contemporary technological and societal challenges. Influential scholars like Chesbrough, Gassmann, and Bogers have played pivotal roles in shaping the intellectual landscape, while countries such as the United States, Germany, China, and Italy lead in global collaboration. The study highlights the multidimensional and dynamic nature of open innovation research and offers insights for academics and practitioners aiming to navigate the next frontier of innovation management.
A Scientometric Analysis of Green HRM Research (2000-2024) Using VOSviewer: Mapping the Intellectual Structure and Emerging Themes from Scopus Data Judijanto, Loso; Mayasari, Nanny; Nampira, Ardi Azhar
West Science Business and Management Vol. 3 No. 02 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i02.1992

Abstract

This study presents a comprehensive scientometric analysis of Green Human Resource Management (Green HRM) research published between 2000 and 2024, utilizing Scopus-indexed data and VOSviewer for bibliometric visualization. Through keyword co-occurrence, co-authorship, and country collaboration analyses, the study maps the intellectual structure, identifies dominant research clusters, and highlights emerging themes in the field. The findings indicate that Green HRM has matured into a multidisciplinary domain anchored by themes such as sustainability, green behavior, human resource practices, and green innovation. Over time, the focus of research has shifted from macro-level issues—like environmental sustainability and policy integration—toward micro-level constructs, including employee engagement, green leadership, and organizational citizenship behavior for the environment. Influential author networks, particularly from China, Malaysia, and Europe, shape the development of the field, while cross-national collaboration continues to grow, especially within Asia and the Middle East. The study reveals knowledge gaps in linking behavioral outcomes to organizational performance and emphasizes the need for future research in digital HR transformation, performance metrics, and underrepresented geographic contexts. These insights provide a roadmap for scholars and practitioners aiming to deepen the strategic and operational integration of sustainability within human resource systems.
MSME Strategies in Facing Digital Disruption: A Study on Creative Industry Nampira, Ardi Azhar; Nasution, Edwin Sugesti; Moktar, Brilian; Harja, Ngiw Aman
West Science Business and Management Vol. 3 No. 02 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i02.1998

Abstract

Digital disruption presents both opportunities and challenges for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia's creative industry. This qualitative study explores the strategies adopted by MSMEs to adapt to these changes through in-depth interviews with 10 MSME owners from various creative sectors. The findings reveal that MSMEs leverage digital platforms, innovate their offerings, invest in capacity building, and establish collaborative networks to navigate digital disruption. However, they face significant challenges, including technological barriers, financial constraints, market saturation, and inadequate infrastructure. Despite these challenges, MSME owners expressed optimism about leveraging emerging technologies for growth. The study underscores the need for targeted policy interventions and capacity-building initiatives to support MSME sustainability in the digital era. These findings provide valuable insights for policymakers, industry stakeholders, and MSMEs striving to thrive amid digital transformation.
Bibliometric Analysis of Artificial Intelligence Development in Customer Service Automation Judijanto, Loso; Vandika, Arnes Yuli; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1861

Abstract

This study presents a comprehensive bibliometric analysis of scholarly literature on the development of artificial intelligence (AI) in customer service automation, based on data extracted from the Scopus database between 2000 and 2024. Using VOSviewer, the analysis maps the intellectual structure, thematic evolution, and collaborative networks within this rapidly growing research field. Findings reveal that core research themes revolve around customer satisfaction, chatbots, natural language processing, and machine learning—highlighting the shift from back-end AI infrastructure toward user-facing, interactive applications. The overlay visualization indicates a temporal progression, with earlier studies focusing on big data and cloud computing, while more recent works emphasize conversational AI and customer experience. Co-authorship and country collaboration networks show two dominant scholarly communities—one centered in East Asia with a technical focus, and another in Western countries emphasizing service quality and marketing perspectives. Despite the field's growth, gaps remain in cross-regional collaboration, ethical design, and theoretical integration. This study offers valuable insights for researchers, practitioners, and policymakers aiming to advance AI-driven customer service strategies that are both innovative and ethically sound.
Impact Analysis of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance of Start-ups in Jakarta Nampira, Ardi Azhar; Apriyanto, Apriyanto; Arisondha, Edy
West Science Interdisciplinary Studies Vol. 3 No. 05 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i05.1903

Abstract

This study investigates the impact of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance in Jakarta-based startups. Using quantitative analysis with 180 samples and Structural Equation Modeling - Partial Least Squares (SEM-PLS), the research identifies significant positive relationships among the variables. Millennial Financial Literacy enhances decision-making and resource allocation, driving operational efficiency and financial performance. Digital Ecosystem Collaboration is shown to have the strongest effect on operational efficiency and financial performance, emphasizing its role in fostering innovation and efficiency. The findings highlight operational efficiency as a critical mediator, bridging financial literacy, collaboration, and financial outcomes. Practical implications include fostering financial education and leveraging ecosystem partnerships for startups to achieve holistic growth. These results contribute to the literature on digital entrepreneurship and provide actionable insights for startup managers.
The Effect of Digital Twin and Edge AI on Industrial Machine Maintenance Optimization in Karawang Saleh, Mohamad Zein; Nampira, Ardi Azhar; Iskandar, Yusuf
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.1988

Abstract

This study investigates the impact of Digital Twin and Edge AI technologies on optimizing industrial machine maintenance in Karawang, Indonesia. Using a quantitative research approach, data were collected from 80 respondents via a Likert-scale questionnaire and analyzed using SPSS version 25. The findings reveal significant positive relationships between both technologies and maintenance optimization. Digital Twin technology enhances predictive maintenance by enabling real-time simulations, while Edge AI improves decision-making through decentralized data processing. Together, they explain 58% of the variance in maintenance optimization. These results emphasize the synergistic effects of these technologies in reducing downtime, improving operational efficiency, and achieving cost savings. This research contributes to the understanding of advanced technological adoption in industrial maintenance and provides practical implications for enhancing productivity in industrial settings.
Co-Authors . Syamsulbahri Apriyanto, Apriyanto Arisondha, Edy Arnes Yuli Vandika Baso Intang Sappaile, Baso Intang Edwin Sugesti Nasution Eva Desembrianita Harja, Ngiw Aman Iqbal, Kiran Irwanto, Miko Mei Jenheri, Jenheri Judijanto, Loso Justam, Justam Kara, Sevda Kaya, Cemil Khan, Omar M. Yogi Riyantama Isjoni M. Zai, Yovita Yulia Malik, Fatima Mayasari, Nanny Mendes, Clara Moktar, Brilian Putri, Agustin Andhika Rejeki, Marsudi Endang Sri Restu Auliani Reyes, Maria Clara Rudy Haryanto Saleh, Mohamad Zein Samaduri, Lutpi Santos, Luis Sari, Arum Fandan Setyowati Subroto Sinaga, Jernita Siti Annisa Wahdiniawati, Siti Annisa Tan, Marcus Telma Anis Safitri Vita Lystianingrum Yuliana, Ana Yusuf Iskandar