Abstract:In an era of increasingly intense industrial competition, companies are required to enhance their competitiveness through effective human resource development, particularly through needs-based training programs. Training…
Need Analysis (TNA) is a crucial stage in ensuring that training programs align with employees’ competency requirements, thereby improving innovation and performance. This study aims to analyze the influence of Training Need Analysis and training effectiveness, as well as their impact on innovation and employee performance at one an industrial maintenance and workshop services company located in Cilegon. This research employs a quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that Training Need Analysis and training effectiveness have a positive and significant effect on innovation and employee performance. These findings confirm that the proper implementation of TNA can improve training quality, foster innovation, and enhance employee performance as well as the company’s competitiveness, Partial mediation Innovations in the effect of training need analysis on employee performance, and on the effectiveness of employee performance experience the same partial mediation, with different values
Abstract:Food security in the low-carbon transition is increasingly shaped by industrial decarbonization, environmental restoration, and circular supply-chain coordination, yet these domains are often modeled as separate sustainability…
bility agendas. This study addresses the gap by developing a governance-centered structural equation model that links sustainable industrialization, sustainable remediation, circular supply chain governance, and food-security outcomes. Using the available 455-response dataset, the empirical test operationalizes industrialization intensity (IND) as a proxy for sustainable industrialization, digital-institutional capability (DIC) as a proxy for circular governance capability, and social-economic resilience (SER) as a proxy for food-system security. Confirmatory factor analysis supports the measurement model: standardized loadings range from .778 to .849 for IND, .804 to .835 for DIC, and .800 to .843 for SER; CR values range from .901 to .914; AVE ranges from .646 to .681; and model fit is acceptable (chi-square/df = 2.108, CFI = .961, TLI = .951, RMSEA = .049, SRMR = .038). The SEM results show that IND significantly predicts DIC (beta = .537, p < .001), DIC predicts SER (beta = .424, p < .001), and IND retains a direct effect on SER (beta = .337, p < .001). The indirect effect is significant (beta = .228, 95% CI [.178, .282]). The article contributes a cautious, data-grounded framework for analyzing food security as a governance-mediated outcome of low-carbon industrial transition.
Abstract:The economic structure of Aceh Province is still dominated by the agriculture, forestry, and fisheries sectors, while the contribution of the manufacturing industry sector is relatively lagging. This condition indicates…
that the structural transformation process in Aceh has not yet taken place optimally, so that the economic growth that occurs tends to be quantitative, marked by an increase in aggregate output, but does not fully reflect an increase in the quality of the economic structure. This study aims to analyze the influence of the agriculture, manufacturing industry, and mining sectors on the growth of the Regional Gross Regional Domestic Product (GRDP) of Aceh Province. The approach used is quantitative with secondary data sources from the BPS of Aceh Province. This study uses panel data which is a combination of cross-regional data and time series data from 2019 to 2023. The results of the study indicate, first; the agricultural sector has a positive effect on GRDP. This is based on the probability value of the agricultural sector variable, which is 0.002. This value is smaller than 0.05. Second; the industrial sector has no effect on GRDP. This is based on the probability value of the industrial sector variable, which is 0.610. This value is greater than 0.05. Third; the mining sector has a positive effect on GRDP. This is based on the probability value of the mining sector variable, which is 0.001. Fourth; The agricultural, industrial and mining sectors have a joint influence on the dependent variable, namely GRDP in Aceh Province
Abstract:This study aims to analyze the effect of Price Earning Ratio (PER), Debt to Equity Ratio (DER), and Current Ratio (CR) on firm value, with firm size as a moderating variable, in industrial sector companies listed on the…
Indonesia Stock Exchange during the 2022–2024 period. This study employed a quantitative approach with an associative method. The data used were secondary data obtained from companies’ annual financial reports. The sample was determined using purposive sampling, resulting in 44 companies with a total of 132 firm-year observations. The data were analyzed using Moderated Regression Analysis (MRA), supported by classical assumption tests, correlation coefficient analysis, coefficient of determination analysis, simultaneous testing, and partial testing. The results of the moderation model show that firm size has a positive and significant effect on firm value, with a significance value of 0.043. Meanwhile, PER, DER, and CR do not have a significant effect on firm value after firm size and the interaction variables are included in the model. The moderation test results indicate that firm size is unable to moderate the effect of PER, DER, and CR on firm value, as all interaction variables have significance values greater than 0.05. Although PER has a positive and significant effect on firm value in the first model, this effect is no longer significant in the moderation model. The coefficient of determination in the moderation model is 12.1%, indicating that the model’s ability to explain variations in firm value remains limited. These findings indicate that firm size is a more dominant factor in explaining firm value than PER, DER, and CR in the moderation model.
Abstract:This study examines the effects of the Dow Jones Industrial Average (DJIA), world gold prices, world oil prices, and the rupiah exchange rate on the Composite Stock Price Index (CSPI) in Indonesia. The study uses monthly…
secondary data from January 2015 to December 2025, comprising 132 observations. CSPI data were obtained from the Indonesia Stock Exchange, DJIA, gold price, and oil price data were obtained from Investing.com, while exchange rate data were sourced from Bank Indonesia. The analysis employed the two-step Engle-Granger Error Correction Model (EG-ECM) to identify long-run relationships and short-run adjustment dynamics. The long-run results show that gold prices, world oil prices, and the DJIA have positive and significant effects on the CSPI, whereas the rupiah exchange rate has a negative but insignificant effect. In the short run, the exchange rate has a negative and significant effect on the CSPI, while gold prices, oil prices, and the DJIA have positive and significant effects. The Error Correction Term coefficient of -0.1325 is negative and significant, indicating that approximately 13.25% of short-run disequilibrium is corrected each month toward long-run equilibrium. These findings imply that investors and policymakers should closely monitor global market conditions, commodity price movements, and exchange rate volatility to support investment decisions and maintain Indonesian capital market stability
Abstract:This study analyzes the effect of Debt to Equity Ratio (DER), Return on Assets (ROA), and Asset Growth on Firm Value with Good Corporate Governance (GCG) as a moderating variable in industrial sector companies listed on…
the Indonesia Stock Exchange during the 2022–2024 period. The research method uses a quantitative associative approach with a sample of 65 companies and a total of 195 observations. The analysis technique used is Moderated Regression Analysis (MRA). The simultaneous test results show that DER, ROA, Asset Growth, GCG, and the moderating interaction variable have a significant effect on Firm Value with a significance value of 0.000 < 0.05. Partially, DER has a positive and significant effect on Firm Value, while ROA and Asset Growth do not have a significant effect on Firm Value. Good Corporate Governance has a positive and significant effect on Firm Value. Good Corporate Governance is able to moderate the effect of DER on Firm Value. Good Corporate Governance is not able to moderate ROA on Firm Value, and weakens the effect of Asset Growth on Firm Value
Abstract:This study aims to analyze the influence of packing machine automation on operator productivity in the facial tissue industry by considering the role of moderation, technical competence and operator workload perception.…
The method used is Systematic Literature Review (SLR) by reviewing scientific articles published in the 2020–2026 range from reputable databases such as Scopus. The selection process was carried out using the PRISMA approach through the identification, screening, eligibility, and inclusion stages, resulting in a number of articles relevant to the topics of industrial automation, labor productivity, technical competence, and workload. The results of the study show that the implementation of packing machine automation in general has a positive impact on increasing operator productivity through time efficiency, quality consistency, and reduction of manual errors. Nevertheless, the effectiveness of automation is highly dependent on the level of technical competence of the operator, especially in the operation, maintenance and troubleshooting of the machine. In addition, workload perception has also been shown to moderate the relationship, where automation can lower physical workloads but potentially increase mental workloads due to the demands of automated system supervision. Other findings suggest that an imbalance between automation levels and human resource readiness can hinder productivity optimization. Conceptually, this study confirms that the relationship between packing machine automation and operator productivity is not linear, but is influenced by individual and psychological factors. The practical implications of this study are the importance of technical competency-based training as well as adaptive workload management in supporting the successful implementation of automation in the manufacturing industry. This research contributes to the development of an integrative model that connects technology, people, and operational performance in the context of the tissue processing industry.
Abstract:The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.…
Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.
Abstract:The financial uncertainty in the results of the investment evaluation creates conditions of risk in the decision making of any strategy in the management of the industrial units. The recent crises (economic and pandemic)…
have only reinforced the need to explicitly introduce the factor of uncertainty in any new investment decision. The aim of the present paper is to develop a methodological approach contributing to the appraisal of an investment project under risk and uncertainty. Methods from statistical - econometrics, probabilistic analysis, numerical simulation methods and financial analysis are used and combined. The stochastic approach is used through the Monte Carlo simulation to appraisal the uncertainty. Finally, the implementation of probabilistic theory combined with the use of decision trees allows to estimate in a more relevant way the factor of uncertainty considering all perspectives.
Abstract:This research aims to determine whether public ownership, board of directors compensation and audit committee have an effect on tax management in basic consumer goods industrial companies listed on the Indonesian Stock Exchange.…
xchange. Secondary data was obtained based on purposive sampling of financial reports. The population was conducted on basic consumer goods industrial companies listed on the IDX with a number of 54 companies, while the samples were selected with purposive sampling method obtained a total of 12 companies or 36 samples for the period 2017-2019. But the 36 samples processed the result is abnormal distribution, so the researcher increase the observation period on the IDX in 2015.2020. Data analysis method used is multiple linear regression. The results of this research indicated that the public ownership, board of directors compensation and audit committee no have significant effect on the tax management.