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Ikhsan Nendi
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Journal of Innovation and Operational System
Published by Politeknik Siber Cerdika Internasional
ISSN : -     EISSN : 31100899     DOI : https://doi.org/10.59261/jiosjournal
Core Subject : Science, Engineering,
Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
The Journal of Innovation and Operational System (JIOS) is a peer-reviewed academic journal dedicated to advancing knowledge and research in the fields of technology, innovation, and operational systems. It serves as a platform for publishing high-quality research that explores the intersection of technological innovations and their practical application in operational systems. Scope and Focus JIOS covers a wide range of topics, including but not limited to: Technological Innovation: Research on cutting-edge advancements in various technological fields, such as artificial intelligence, machine learning, the Internet of Things (IoT), automation, and blockchain. Operational Systems: Studies on the design, optimization, and management of systems that enhance operational efficiency, including supply chain management, logistics, manufacturing processes, and enterprise resource planning (ERP). System Integration: Exploration of integrated systems that combine various technologies for optimal performance in industries such as manufacturing, healthcare, transportation, and services. Digital Transformation: Insights into how businesses and industries are leveraging digital technologies to transform operations, business models, and customer experiences. Sustainability and Innovation: Research that focuses on creating sustainable operational systems through technological innovations and their impact on the environment and society.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
 1 
Optimizing Operational Efficiency Through Technological Innovation: A Comparative Analysis Across Industries Komarudin Komarudin
Journal of Innovation and Operational System Vol. 1 No. 1 (2024): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v1i1.1

Abstract

This study examines the role of technological innovation in optimizing operational efficiency across manufacturing, healthcare, logistics, and finance sectors. Using a quantitative approach, data were collected from 200 companies, assessing key operational metrics such as production time, error rates, and cost savings. Findings indicate that manufacturing and logistics sectors experienced the greatest efficiency gains from technologies like automation and the Internet of Things (IoT), with reductions in production time averaging 18% and 15%, respectively. In contrast, the healthcare and finance sectors faced greater regulatory challenges, moderating the immediate impact of technologies like artificial intelligence (AI) and automation. These results align with Rogers’ Diffusion of Innovation Theory, highlighting sectoral variability in technology adoption and efficiency outcomes. The study suggests that phased technology implementation and industry-specific compliance strategies can enhance efficiency gains in regulated sectors. This research provides valuable insights for corporate strategists and policymakers, advocating for tailored approaches to technology adoption to maximize operational benefits. Future studies could explore the impact of innovation on sub-industries within these broader sectors.
The Role of AI (Artificial Intelligence) and Machine Learning in Enhancing Decision-Making Processes within Operational Systems Sukma Hendrian
Journal of Innovation and Operational System Vol. 1 No. 1 (2024): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v1i1.2

Abstract

This study investigates the role of artificial intelligence (AI) and machine learning (ML) in enhancing decision-making processes across healthcare, finance, and logistics sectors. Using a mixed-methods approach, data were collected from 150 organizations, analyzing metrics such as decision-making speed, accuracy, error reduction, and user satisfaction. Findings reveal that AI/ML integration significantly improved decision accuracy and speed, with finance demonstrating the highest increases in efficiency. However, sector-specific challenges—such as regulatory constraints in healthcare and data privacy in finance—highlight the need for industry-specific AI/ML implementation strategies. The results support theories of decision-making and technological innovation, indicating that AI/ML can optimize decision quality when balanced with human oversight. Practical implications suggest that industry leaders adopt phased AI/ML integration strategies to address regulatory and operational barriers, while policymakers could establish frameworks that support responsible AI use. Future research could explore AI/ML’s impact on decision-making in smaller organizations or emerging technologies' influence on decision processes.
Evaluating the Impact of Lean Innovation Practices on Organizational Agility and Responsiveness Rafi Farizky
Journal of Innovation and Operational System Vol. 1 No. 1 (2024): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v1i1.3

Abstract

This study evaluates the impact of lean innovation practices on organizational agility and responsiveness across the technology, manufacturing, and consumer goods sectors. Using a mixed-methods approach, data were collected from 120 organizations, analyzing key metrics such as time-to-market, responsiveness to customer demands, and operational waste reduction. Findings reveal that lean practices, particularly Kaizen and value stream mapping, significantly enhance organizational agility, with technology firms achieving the highest improvements in time-to-market and adaptability. However, sector-specific challenges, such as fluctuating demand in consumer goods, highlight the need for tailored lean strategies. The results support theories of organizational agility and continuous improvement, underscoring the role of lean practices in enabling companies to respond swiftly to dynamic market conditions. Practical implications suggest that industry leaders adopt balanced approaches to lean implementation, while policymakers could develop frameworks that promote lean practices tailored to different industry demands. Future research could examine lean practices in smaller organizations and explore additional strategies for optimizing agility in complex market environments.
Digital Transformation Strategies for Operational Resilience in Manufacturing: A Case Study Approach Ade Bani Riyan
Journal of Innovation and Operational System Vol. 1 No. 1 (2024): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v1i1.4

Abstract

This study examines the impact of digital transformation strategies on operational resilience within the manufacturing sector through a qualitative case study approach. Data were collected from five manufacturing firms across the automotive, electronics, and consumer goods sectors, focusing on the role of technologies such as IoT, data analytics, and automation in enhancing agility and responsiveness. Findings indicate that digital transformation initiatives, particularly IoT and predictive analytics, significantly improve operational resilience by enabling real-time data collection, proactive risk management, and enhanced decision-making. However, challenges such as employee resistance and integration with legacy systems highlight the need for tailored implementation strategies, including phased technology adoption and comprehensive training programs. This study supports theories of dynamic capabilities and resilience, suggesting that a strategic alignment of digital transformation efforts can foster long-term operational adaptability. Practical implications emphasize the importance of embedding digital initiatives within overall organizational strategy to ensure resilience in dynamic market conditions. Future research could explore the long-term impacts of digital transformation on resilience across various sectors.
Innovation-Driven Supply Chain Optimization: Balancing Efficiency and Sustainability Nurhaliza Nurhaliza
Journal of Innovation and Operational System Vol. 1 No. 1 (2024): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v1i1.5

Abstract

This study explores how innovation-driven supply chain optimization can balance efficiency and sustainability across manufacturing and retail sectors. Using a mixed-methods approach, data were collected from 50 companies that have integrated practices such as IoT, data analytics, and circular economy models. The results indicate that these innovative practices significantly enhance both efficiency and sustainability. Specifically, companies implementing digital technologies reported improved lead times and resource management, while sustainable sourcing contributed to a reduction in carbon footprint. However, challenges such as high initial costs and integration with existing systems were noted. These findings support theories of sustainable development and resource-based views, suggesting that innovation-driven practices can enable organizations to achieve both operational and environmental objectives. Practical implications highlight the need for phased technology adoption and collaboration with stakeholders to overcome implementation barriers. Future research could investigate the long-term effects of emerging technologies, such as AI and blockchain, on sustainable supply chains in additional sectors.
Beyond Efficiency: Exploring Employee Experiences of Process Innovation in Service Sector Operations Syahrul Anwar
Journal of Innovation and Operational System Vol. 2 No. 1 (2025): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v2i1.6

Abstract

implement process innovations to enhance operational efficiency and competitiveness. H In today’s rapidly evolving service industry, organizations increasingly implement process innovations to enhance operational efficiency and competitiveness. However, existing literature has primarily focused on efficiency metrics, often overlooking the experiential dimensions of such innovations from the employee perspective. This research aims to explore how employees perceive, experience, and respond to process innovation initiatives within service sector operations. Using a mixed-methods approach, the study collected data from 185 employees across various service-based organizations through structured surveys and in-depth interviews. Quantitative data were analyzed using SPSS 26.0 and NVivo 12 was used for thematic analysis of qualitative inputs. The findings reveal that while process innovations often result in measurable improvements in workflow efficiency, their implementation also impacts employee engagement, job satisfaction, and perceived autonomy. Specifically, employee involvement in the innovation process significantly enhances creative self-efficacy and fosters proactive behavior. The study contributes to service innovation literature by emphasizing the role of human-centered perspectives in process redesign. It also highlights the need for managerial strategies that strike a balance between technical efficiency and the emotional and motivational needs of employees. Practically, the findings suggest that inclusive and participatory innovation practices not only improve operational outcomes but also support sustainable workforce development. Future research is encouraged to explore longitudinal effects of process innovation and test models across different cultural or organizational contexts. owever, existing literature has primarily focused on efficiency metrics, often overlooking the experiential dimensions of such innovations from the employee perspective. This research aims to explore how employees perceive, experience, and respond to process innovation initiatives within service sector operations. Using a mixed-methods approach, the study collected data from 185 employees across various service-based organizations through structured surveys and in-depth interviews. Quantitative data were analyzed using SPSS 26.0 and NVivo 12 was used for thematic analysis of qualitative inputs. The findings reveal that while process innovations often result in measurable improvements in workflow efficiency, their implementation also impacts employee engagement, job satisfaction, and perceived autonomy. Specifically, employee involvement in the innovation process significantly enhances creative self-efficacy and fosters proactive behavior. The study contributes to service innovation literature by emphasizing the role of human-centered perspectives in process redesign. It also highlights the need for managerial strategies that strike a balance between technical efficiency and the emotional and motivational needs of employees. Practically, the findings suggest that inclusive and participatory innovation practices not only improve operational outcomes but also support sustainable workforce development. Future research is encouraged to explore longitudinal effects of process innovation and test models across different cultural or organizational contexts.
Navigating Digital Transformation: A Qualitative Study of Innovation Adoption in Traditional Manufacturing Operations Nurhaliza Nurhaliza
Journal of Innovation and Operational System Vol. 2 No. 1 (2025): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v2i1.7

Abstract

Digital transformation presents both opportunities and challenges for traditional manufacturing operations; however, limited research exists on how these firms navigate the adoption of innovation. This qualitative study examines the key drivers, barriers, and strategies influencing digital transformation in traditional manufacturing environments. Using a case study approach, the research collected data through semi-structured interviews with 20 participants across five manufacturing firms, supplemented by document analysis. Thematic analysis revealed that cost constraints (65%), legacy system incompatibility (70%), and workforce resistance (55%) were the most significant barriers, while strong leadership commitment (45%) and pilot projects emerged as critical success factors. The findings align with and extend the Technology-Organization-Environment (TOE) framework by highlighting the understudied role of organizational culture in digital adoption. The study contributes to theory by proposing a contextualized model for digital transformation in traditional manufacturing, emphasizing the need for balanced technological and human-centric approaches. Practical implications suggest that manufacturers should prioritize change management, modular upgrades for legacy systems, and leadership development to facilitate smoother transitions. Policymakers may use these insights to design targeted support programs for small and medium-sized manufacturers. Future research should explore sector-specific adoption patterns and develop standardized assessment tools for digital maturity. 
The Paradox of Agile Systems: A Phenomenological Study of Innovation Implementation Challenges in Healthcare Operations Sayudin Sayudin
Journal of Innovation and Operational System Vol. 2 No. 1 (2025): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v2i1.8

Abstract

The healthcare sector faces increasing pressure to adopt agile methodologies to enhance operational efficiency and adaptability. However, the implementation of agile systems in healthcare often encounters significant challenges, creating a paradox where intended improvements lead to workflow disruptions and resistance. This phenomenological study explores the lived experiences of 20 healthcare professionals, including clinicians, administrators, and IT specialists, to identify key barriers to agile adoption. Using semi-structured interviews and thematic analysis, the research examines the misalignment between agile principles and healthcare’s structured, risk-averse environment. Findings reveal that workflow disruption (75% of participants), resistance to change (65%), and training gaps (55%) are the most critical challenges, exacerbated by insufficient leadership support (40%). The study highlights the need for contextual adaptation of agile frameworks, role-specific training, and stronger change management strategies to facilitate smoother implementation. Practical implications include recommendations for hybrid agile-waterfall models, revised performance metrics, and dedicated change-management teams to bridge gaps between clinicians and IT staff. The research contributes to both theory and practice by emphasizing human-centric approaches to agile transformation in healthcare, offering actionable insights for policymakers and healthcare leaders. Future research should explore longitudinal impacts of hybrid models and patient perspectives on agile-driven care delivery.
Silicon Valley to Main Street: A Case Study Analysis of Tech Innovation Transfer to Conventional Business Operations Aldo Hermaya Aditiya Nur Karsa
Journal of Innovation and Operational System Vol. 2 No. 1 (2025): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v2i1.9

Abstract

The integration of technological innovations from Silicon Valley into conventional business operations has emerged as a transformative trend, especially as traditional industries face increasing pressure to modernize and remain competitive. However, the mechanisms, success factors, and challenges of this innovation transfer remain underexplored. This study aims to examine how technological innovations, particularly artificial intelligence, cloud computing, and Internet of Things (IoT), are adopted by non-tech, traditional businesses and assess their impact on operational performance. Employing a qualitative case study approach, data were collected from five traditional enterprises across various sectors that implemented Silicon Valleyborn technologies. The data collection involved semi-structured interviews, document analysis, and comparisons of performance metrics before and after implementation. Findings reveal that successful technology transfer is facilitated by organizational readiness, strategic alignment, and continuous employee training. In contrast, barriers include cultural resistance, lack of digital literacy, and resource constraints. The study also uncovers that innovation adoption leads to measurable improvements in efficiency, customer satisfaction, and market agility. By comparing these findings to existing literature, the study highlights a gap in contextual adaptation strategies and the need for tailored implementation frameworks. The research contributes to the theoretical discourse on innovation diffusion and offers practical implications for managers aiming to bridge the digital divide. Future research is suggested to focus on cross-cultural and longitudinal studies to explore further the sustainability and scalability of tech innovation in traditional industries.
Green Innovation in Daily Operations: An Ethnographic Exploration of Sustainability-Driven Systemic Change in Retail Organizations Isma Elan Maulani
Journal of Innovation and Operational System Vol. 2 No. 1 (2025): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v2i1.10

Abstract

In response to mounting global environmental challenges and growing consumer demand for sustainable business practices, retail organizations are increasingly adopting green innovations in their daily operations. This research examines the implementation and experience of sustainability-driven systemic change within retail settings through an ethnographic lens. The primary objective is to explore the cultural, operational, and organizational transformations that support green innovation in everyday retail practices. Employing a qualitative ethnographic methodology, data were collected through participant observation, semi-structured interviews, and document analysis in three large retail organizations known for their sustainability initiatives. The study involved 36 participants, including managers, staff, and customers, selected through purposive sampling. Data were analyzed using thematic coding and triangulated to ensure reliability and validity. Findings reveal that leadership commitment, employee engagement, sustainable supply chains, customer co-creation, and adaptive learning cultures influence successful integration of green innovation. These elements work together to foster a systemic shift in organizational behavior and identity toward sustainability. The results highlight that green innovation in retail is not merely a set of isolated practices but a dynamic, value-driven transformation embedded in the organizational culture. This study contributes to the literature by offering a grounded, ethnographic understanding of how green practices become institutionalized in retail contexts. The findings offer practical insights for retail leaders seeking to integrate sustainability into their core operations and strategies, with implications for policymaking, employee training, and customer relationship management.

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