The research location was carried out in Garut, West Java, which is one of the potential regions for the development of leather jackets for small and medium enterprises (SMEs) in Indonesia based on its comparative advantages. Garut Regency is expected to become the home base of national leather jacket SMEs in Indonesia that are competitive and sustainable. The aim of this research was to analyze the influence of Religious Orientation (RO) on supply chain quality management through Ethics (E) as an intervening variable in Leather Jacket SMEs, Garut - West Java. What was interesting in this research and became a novelty was the inclusion of social science variables in maintaining the quality of supply chain management. In the stage of data collection, the study involved 88 entrepreneurs and leather jacket craftsmen as research respondents and processing was carried out using the Generalized Structured Component Analysis (GSCA) method. The results show that the relationship between RO variables can affect supply chain management variables, also through ethics. The implication of this research is that in running a business, to fix the quality of supply chain management, religious orientation is the important aspect.

This quantitative study employs Structural Equation Modeling (SEM) to investigate the intricate relationships between stakeholder participation, green supply chain management, urban forest management quality, and ecosystem service quality in Palangkaraya, Indonesia. Survey data collected from stakeholders engaged in urban forest management and environmental conservation efforts were subjected to Confirmatory Factor Analysis (CFA) to validate the measurement model. Path Analysis was then conducted to explore direct and mediated effects, with a focus on the mediating role of urban forest management quality as assessed through SEM. The findings reveal significant positive relationships between stakeholder participation, green supply chain management, urban forest management quality, and ecosystem service quality. Notably, urban forest management quality emerges as a mediator between stakeholder participation and ecosystem service quality, as well as between green supply chain management and ecosystem service quality. This study contributes to the empirical understanding of urban environmental management dynamics, offering insights that can inform policy and practice for promoting environmental sustainability and enhancing ecosystem service provision in Palangkaraya.

In the ever-growing digital era, technology has changed various aspects of human life, including the way governments manage supply chains in procuring goods and services. Digital transformation has opened new opportunities to increase efficiency, transparency, and accountability in procurement in government companies. This research aims to investigate the relationship between digital supply chains and competitiveness and the relationship between digital transformation and the competitiveness of government companies. This type of research is quantitative through survey methods. The population of this research is employees of government logistics companies who are responsible for supply chain processes, have digital activities and implement Enterprise Resource Planning (ERP). The research questionnaire was designed using a Likert scale of 1 to 9, a scale of 1 indicating strongly disagree and a scale of 9 indicating strongly agree. Questionnaires were distributed via social media to 780 employees of government logistics companies related to supply chain processes, respondents were determined using a simple random sampling method. Of the 780 questionnaires that were returned, 570 were returned for analysis. Data analysis uses the partial least square-structural equation modelling (PLS-SEM) method with data analysis tools, namely SmartPLS 3.0. The data analysis stages are reliability, validity and hypothesis testing. The independent variables of this research are digital supply chain and digital transformation. The dependent variable is the company's competitiveness. The results of this research show that digital supply chains have a positive and significant relationship to competitiveness and digital transformation has a positive and significant relationship to competitiveness. By utilizing digital technology optimally, companies can obtain several extraordinary benefits. Among other things, companies will be able to expand markets and increase revenue more effectively. Apart from that, digital technology also makes it easier to monitor business activities, create structured financial reports, and reduce costs, especially in terms of marketing, logistics and shipping.

This study aims to explore the interrelationships between Green Open Spaces, Ecological Patterns, the Ecological Supply Chain, and Environmental Sustainability in urban ecosystems. A quantitative research approach employing a cross-sectional design was utilized. Data were collected through surveys and field observations from urban residents with access to green spaces. Structural Equation Modeling (SEM) with Smart PLS was used for data analysis. The findings indicate significant impacts of Green Open Spaces and Ecological Patterns on both the Ecological Supply Chain and Environmental Sustainability. Moreover, the Ecological Supply Chain mediates the relationship between Green Open Spaces/Ecological Patterns and Environmental Sustainability. Limitations include the focus on a specific geographical area and potential biases in self-reported data. This study contributes to ecological theory by emphasizing the interconnectedness between ecological elements and their influence on Environmental Sustainability. Practically, it provides insights for urban planning and conservation efforts, highlighting the importance of preserving natural habitats within urban environments. The findings also underscore the need for holistic approaches to ecosystem management and sustainability. The novel aspect of this study lies in its examination of the mediating role of the Ecological Supply Chain in the relationship between ecological elements and Environmental Sustainability, offering new insights into the mechanisms driving ecosystem dynamics in urban settings.

This study aimed to develop a conceptual model of the role of organizational commitment in mediating the influence of work environment and spiritual motivation on employee performance. The population was 305 employees of the Islamic Rural Bank Bhakti Sumekar—with a sample of 122 employees. The data were processed using Structural Equation Modeling Partial Least Square (SEM PLS). The findings in this study are that work environment and spiritual motivation have a positive influence on employee performance, organizational commitment plays a mediating role on the influence of work environment and spiritual motivation on employee performance, the most effective pathway in improving employee performance is the mediating pathway of organizational commitment on the influence of spiritual motivation on employee performance.

This study aimed to develop a conceptual model of the role of organizational support in moderating the effect of competence and organizational commitment on management performance. The population was 150 managers of the National Sports Committee of Indonesia in the city, regency and province of Riau. The entire population was sampled and the data was processed using Structural Equation Modeling Partial Least Square (SEM PLS). The study found that competence and organizational commitment have no effect on management performance and organizational support acts as the moderator of the effect of competence and organizational commitment on management performance. Organizational support is a pure moderator that amplifies the effect of organizational commitment on management performance.

The public's demand for simple, livable houses means that material studies to support this continue to be carried out today, starting from using natural materials such as bamboo as precast concrete walls. This study aims to conduct an experimental study using bamboo rope from the Gigantochloa Apus variety as an alternative reinforcement for precast concrete walls. Research was carried out on 12 precast concrete wall test specimens, and the flexural properties, flexural strength, and crack patterns were formulated when subjected to a quasi-static load concentrated in the middle of the span. The concrete slab measures 600800 mm with a 50 and 75 mm thickness. The three configurations of bamboo bones used include (1) Gedhek-type woven bamboo slats, (2) bamboo slat type, and (3) Sasak-type woven bamboo slats. The research results show that Sasak-type woven bamboo slat reinforcement is the most effective alternative reinforcement. The behavior of the test specimen shows a ductile failure pattern similar to conventional reinforced concrete. The maximum moment capacity achieved is 1.5 to 2.2 times greater than the theoretical nominal moment capacity. Meanwhile, the behavior of test specimens with conventional plate-type woven bamboo slat reinforcement showed sudden and brittle failure due to slippage at the bond between the bamboo reinforcement and concrete. The average maximum moment from the test results is 60% of the theoretical nominal moment. The results of this research recommend that woven bamboo slats of the conventional plate reinforcement type are less effective as alternative reinforcement if they are not given special treatment to increase their adhesion to concrete. Gedhek-type woven bamboo slats are not effective as alternative reinforcement because they cause separation of the top and bottom parts of the woven concrete, thereby reducing the integrity of the cross-section and causing the cross-sectional capacity to be relatively small.

The source of financing largely determines the implementation of road maintenance. Due to the limited funding capacity of the Regional Government, the performance of road maintenance cannot be handled throughout the provincial road network, so it is necessary to determine the priorities and types of maintenance that must be performed carefully and accurately following the conditions. Therefore, this article conducts a study to determine the priority scale in road maintenance in the province of Lampung (Indonesia), which is limited by the government's financial capacity to make comprehensive improvements through a multi-criteria analysis approach. The approach used is a survey method with purposive sampling, integrated with a multi-criteria analysis approach to find eigenvalues as a priority for improvement. There are at least eight groups with 238 respondents who provide input in determining the priority of road preservation in the province of Lampung. The results show that there are ten main parameter criteria to assess the implementation of road preservation in the Lampung province, including accessibility, social, regional development, economy, number of vehicles, security, congestion, road damage, road safety, and regional disparities. The results of the calculation of the multi-criteria analysis of the parameters found that the "road damage" parameter has the highest weight or eigenvalue. The following parameter that becomes the main consideration is the economic aspect and accessibility, with the second and third largest eigenvalues. The security parameter is a factor that is not considered because it is ranked the lowest.

The performance of the manufacturing industry lies in the managers who hold crucial roles. In the revolution industry, data or knowledge holds an important role besides managers’ commitment to work optimally. As intrinsic factors, psychological capital is fundamental for managers’ behavior such as commitment and initiative to share knowledge that simultaneously enables managers’ performance. This research aimed to find the psychology capital’s effect on managers’ performance in manufacturing companies by taking into account sharing knowledge and organization commitment as moderation. Hypothesis testing was done by using data measured with a Likert Scale from 208 managers of a manufacturing company as a representative from each company stationed in the Indonesia Stock Exchange. The results of empirical testing using SEM Lisrel shows that psychological capital affects performance moderated by a variable such as managers’ commitment and knowledge sharing. Based on affected value, the initiative to share knowledge gives greater value to the correlation between psychological capital and managers’ performance in manufacturing companies; compared to commitment. Manufacturing practitioners should be able to facilitate a conducive climate to encourage their managers to share knowledge voluntarily so that the decision-making process and performance are better.

Support vector machine (SVM) has become one of most developed methods for classification, focusing on cross-sectional analysis. However, classification of time series data is an important issue in statistics and data mining. Classification of time series data using SVMs that focus on cross-sectional data leads to improper classification, and hence, the SVM needs to be extended for handling time series dataset. As with cross-section data, the problem of imbalanced data is also common in time series data. Fuzzy method has been proven to be capable of overcoming the case of imbalanced data. In this paper, we developed a Fuzzy Support Vector Machine (FSVM) model to classify time series data with imbalanced class. The proposed method puts the fuzzy membership function on the constraint function. Through simulation studies, this research aims to assess the performance of the developed FSVM in classifying time series data. Based on the classification accuracy criteria, we prove that the proposed FSVM method outperforms the standard SVM method for the classification of multiclass time series data.