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COOPERATIVE FINANCIAL GOVERNANCE AND MEMBER VALUE: A CONTROL FRAMEWORK FOR SUSTAINABLE INCLUSIVE GROWTH Nurlaela Kumala Dewi; Nyoman Dwika Ayu Amrita
Journal of Jabar Economic Society Networking Forum Vol. 2 No. 11 (2025): JESOCIN - November
Publisher : Organisasi Masyarakat Kreatif Indonesia Emas

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Background: Organizations increasingly depend on cooperative financial governance, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about member value to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects cooperative financial governance, member value, and professional judgment through five mutually reinforcing capabilities: decision-useful information, control ownership, professional judgment, traceable evidence, and assurance and review. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.

SUSTAINABILITY ASSURANCE READINESS: CONNECTING MATERIALITY, DATA CONTROLS, AND CREDIBLE DISCLOSURE Nurhaeni Sikki; Nurlaela Kumala Dewi
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 3 (2026): JESOCIN - March
Publisher : Organisasi Masyarakat Kreatif Indonesia Emas

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Background: Organizations increasingly depend on sustainability assurance readiness, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about model and technology controls to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects sustainability assurance readiness, model and technology controls, and human judgment through five mutually reinforcing capabilities: data integrity, model and technology controls, human judgment, accountability, and continuous monitoring. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.

EXPORT READINESS OF MSMES: AN INTEGRATED CAPABILITY MODEL FOR MARKET, FINANCE, COMPLIANCE, AND LOGISTICS Nida Garnida Fitrianti; Nurlaela Kumala Dewi
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 6 (2026): JESOCIN - June
Publisher : Organisasi Masyarakat Kreatif Indonesia Emas

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Background: Organizations increasingly depend on export readiness, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about msmes to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects export readiness, msmes, and partner coordination through five mutually reinforcing capabilities: end-to-end visibility, process discipline, partner coordination, risk-based controls, and adaptive learning. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.

EXPLORING THE IMPACT OF PERFORMANCE MANAGEMENT SYSTEMS ON EMPLOYEE PRODUCTIVITY AND JOB SATISFACTION Nurlaela Kumala Dewi
KRIEZ ACADEMY: Journal of Development and Community Service Vol. 2 No. 8 (2025): Kriez Academy - August
Publisher : Yayasan Kreatif Indonesia Emas

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Background : In contemporary organizations, the performance management system (PMS) plays a crucial role in aligning individual goals with organizational objectives. As competition intensifies and the workplace environment continues to evolve, PMS has emerged as a key strategy for enhancing employee productivity and satisfaction. The effectiveness of PMS, however, is often debated. While some argue that PMS increases organizational efficiency, others suggest that improperly designed systems can lead to employee dissatisfaction and decreased motivation. Given this, it is essential to explore the relationship between PMS and employee outcomes to understand how it contributes to overall organizational success. Aims : The aim of this study is to explore the impact of performance management systems on employee productivity and job satisfaction. This research seeks to identify how key components of PMS, such as goal-setting, feedback, performance appraisals, and rewards, influence these outcomes. By understanding the relationship between PMS and employee performance, the study aims to provide insights that will help organizations optimize their management practices to foster a more motivated, productive, and satisfied workforce. Research Method : This research employs a mixed-methods approach, combining both quantitative and qualitative data collection techniques. The use of both methods ensures a comprehensive understanding of the research problem by gathering numerical data for generalizability and qualitative data for deeper insights. Results and Conclusion : The results show a clear relationship between well-structured PMS and increased employee productivity and job satisfaction. Goal setting, feedback mechanisms, and performance appraisals emerged as the most significant contributors to higher productivity and greater job satisfaction. Employees who had clear, measurable goals reported better focus and higher output, while those who received regular, constructive feedback showed higher levels of engagement and satisfaction. Moreover, employees who perceived performance appraisals as fair and transparent were more motivated and felt more valued in their roles. Contribution : This study contributes to the existing literature on PMS by providing empirical evidence of the relationship between PMS components and employee outcomes in various industries. It also offers practical recommendations for organizations looking to optimize their PMS to foster a more motivated and productive workforce. Furthermore, the research highlights the importance of fairness, transparency, and employee development in the design of PMS, offering insights that can inform HR practices globally.

COOPERATIVE FINANCIAL GOVERNANCE AND MEMBER VALUE: A CONTROL FRAMEWORK FOR SUSTAINABLE INCLUSIVE GROWTH Nurlaela Kumala Dewi; Nyoman Dwika Ayu Amrita
Journal of Jabar Economic Society Networking Forum Vol. 2 No. 11 (2025): JESOCIN - November
Publisher : Organisasi Masyarakat Kreatif Indonesia Emas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Background: Organizations increasingly depend on cooperative financial governance, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about member value to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects cooperative financial governance, member value, and professional judgment through five mutually reinforcing capabilities: decision-useful information, control ownership, professional judgment, traceable evidence, and assurance and review. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.

SUSTAINABILITY ASSURANCE READINESS: CONNECTING MATERIALITY, DATA CONTROLS, AND CREDIBLE DISCLOSURE Nurhaeni Sikki; Nurlaela Kumala Dewi
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 3 (2026): JESOCIN - March
Publisher : Organisasi Masyarakat Kreatif Indonesia Emas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Background: Organizations increasingly depend on sustainability assurance readiness, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about model and technology controls to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects sustainability assurance readiness, model and technology controls, and human judgment through five mutually reinforcing capabilities: data integrity, model and technology controls, human judgment, accountability, and continuous monitoring. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.

EXPORT READINESS OF MSMES: AN INTEGRATED CAPABILITY MODEL FOR MARKET, FINANCE, COMPLIANCE, AND LOGISTICS Nida Garnida Fitrianti; Nurlaela Kumala Dewi
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 6 (2026): JESOCIN - June
Publisher : Organisasi Masyarakat Kreatif Indonesia Emas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Background: Organizations increasingly depend on export readiness, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about msmes to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects export readiness, msmes, and partner coordination through five mutually reinforcing capabilities: end-to-end visibility, process discipline, partner coordination, risk-based controls, and adaptive learning. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.

Artificial Intelligence-Based Supply Chain Resilience for Strengthening Manufacturing Performance During Global Operational Disruptions Effectively Nurlaela Kumala Dewi; Afferdhy Ariffien; Santi Susanti; Arlis Dewi Kuraesin
Journal of Industrial Engineering and Management Vol 1, No 3 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v1i3.36

Supply-chain resilience requires an organization to detect disruptions, coordinate a response, and restore service while preserving decision traceability. This study descriptively analyzes academic consumer-goods manufacturing records containing 12 quarterly supply-chain-performance observations from 2022 to 2024 and eight paired risk assessments. The performance series compares four conventional-period observations with eight artificial-intelligence-enhanced observations; the risk dataset compares probability, impact, and risk-priority-number values before and after an AI-enhanced mitigation label. Mean supply-chain-performance-index score increased from 62.77 to 85.06. Mean disruption count decreased from 7.50 to 3.38 per quarter, and mean recovery time decreased from 12.22 to 4.88 days. Mean fill rate increased from 84.98% to 93.02%, while mean perfect-order rate increased from 76.43% to 90.05%. Inventory days declined from 39.25 to 18.50, and supplier lead-time variance declined from 6.10 to 1.62 days. Total risk-priority number across eight categories decreased from 351 to 124. The two datasets are analyzed separately because the records do not identify a common intervention protocol, algorithm, control group, or matched operational conditions. The findings therefore describe differences associated with the supplied period and mitigation labels rather than a causal estimate of artificial-intelligence impact. The study contributes a reproducible reporting format that links quarterly resilience indicators, paired risk-priority analysis, and a practical review matrix for supply-chain governance

Production-Loss Detection Using IoT-Enabled Real-Time Throughput Monitoring Across Automated High-Speed Packaging Manufacturing Lines Afferdhy Ariffien; Nurlaela Kumala Dewi; Indriyani Indriyani
Journal of Industrial Engineering and Management Vol 2, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v2i1.48

High-speed beverage bottling lines lose a substantial share of their rated capacity to short, frequent, and easily overlooked disturbances that conventional end-of-shift reporting cannot capture. This paper reports the implementation and evaluation of an Internet of Things (IoT) real-time throughput-monitoring system on an automated bottling line at a beverage packaging plant in Pasuruan, Indonesia. The monitoring layer streams line speed, vibration, motor temperature, and air pressure from four sensor groups, flags micro-stoppages as they occur, and feeds a Pareto-based loss analysis that ranks the plant's chronic production losses by downtime and financial impact. The study analyzes 200 telemetry observations, an 80-event micro-stoppage log, four categorized loss streams, and 30 days of daily throughput records spanning a period before and after the monitoring rollout. Pareto analysis shows that micro-stoppages and speed reduction alone account for 67.9% of the 130.6 downtime hours and dominate the 391.8 million IDR of loss over the study window, identifying them as the vital few losses that warrant priority action. Telemetry profiling confirms that flagged micro-stoppages coincide with elevated vibration and motor temperature, giving operators an early physical signature to act on. After the IoT monitoring system was introduced, mean daily production loss fell from about 45,858 to 8,020 units, mean good output rose from 204,142 to 241,980 units per day, and mean capacity recovery improved from 81.7% to 96.8%, a gain of 15.1 percentage points sustained across the full post-implementation period. The results show that continuous IoT monitoring converts previously invisible micro-losses into actionable signals and delivers a large, measurable throughput improvement, providing a transferable loss-detection template for high-speed packaging operations

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