The purpose of this study is to analyze the relationship between the performance of Reverse Logistics and Green Supply Chain Management, to analyze the relationship between Green Procurement Aspects and the performance of Green Supply Chain Management. This research method is quantitative, the analysis of research data uses the partial least square structural equation model (SEM-PLS) with a statistical data processing tool, namely SmartPLS 4.0 software. Research data was obtained by distributing online questionnaires through social media designed using a Likert scale of 7. Respondents in this study were 670 SMEs owners in Java Island, Indonesia. The stages of data analysis are validity test, reliability test and significance test or hypothesis test. The results of this study indicate that Reverse Logistics has a positive and significant effect on the performance of Green Supply Chain Management, Green Procurement Aspects has a positive and significant effect on the performance of Green Supply Chain Management. The novelty of this study is the relationship model between Reverse Logistics variables, the performance of Green Supply Chain Management and Green Procurement in SMEs which was not found in previous studies. Culinary SMEs are expected to be able to participate in supporting environmentally sound development. This is because the concept of Green Supply Chain Management (GSCM) is a concept that aims to minimize the negative impact of an organization and its supply chain on the environment related to climate change, pollution and resources that are not too large. In order to support GSCM, it is necessary to evaluate the extent to which this concept is carried out by Culinary SMEs. By conducting this evaluation, it is hoped that the constraints and obstacles faced by SMEs in carrying out GSCM can be identified. For this reason, it is necessary to have support from related parties, in this case the government, to conduct socialization and counseling and assistance in implementing GSCM.

This study aims to analyze the influence of supply chain policies, logistical capabilities, on logistical integration and competitive advantage in SMEs in Indonesia. The measurement method uses structural equation modeling (SEM) analysis using SmartPLS 4.0 software to analyze the influence of supply chain policies, logistical capabilities, on logistics integration and competitive advantage. The research data was obtained from distributing online questionnaires via social media. The questionnaire was designed using a Likert scale of 7. The respondents used in this study were SMEs owners who were determined through simple random sampling. The online questionnaire was distributed to 490 UKM owners. The stages of data analysis are validity test, reliability test and significance test or hypothesis test. Based on the results of data processing carried out, it was found that supply chain policy has a positive effect on logistical integration, logistics capability has a positive effect on logistics integration, supply chain policy has a positive effect on competitive advantage, logistics capability has a positive effect on competitive advantage, logistics integration has a positive effect on competitive advantage competitive. The novelty of this research is the relationship model of logistics capability and supply chain policy on logistics integration and competitive advantage in SMEs organizations. The theoretical implication of this research is to support previous theories that logistics capability and supply chain policy play a role in encouraging increased logistics integration and encouraging increased competitive advantage in SMEs organizations. The practical implication of this research is the management of SMEs to implement logistics capability and create and implement supply chain policies to encourage increased logistics integration so that it will increase competitive advantage.