Decision support systems are used as evidence-based decision-making tools in agriculture to provide relevant information. The implementation is to recommend the provision of fertilizer for rice plants, to support plant growth based on location specifics. This study aims to analyze the final results of two SMART and AHP methods by comparing the final results in evaluating the best alternatives. The criteria analyzed are; location, the yield of rice productivity, Leaf Color, Planting Season, Nutrient Status of P, nutrient status of K soil, Fertilizer Cage, Organic Straw Material, Use of Compost Fertilizer. For alternative solutions in the form of rice fertilizer dosage N, P, K. The results of the analysis of the two methods show that both have similarities in determining location-specific rice fertilizer recommendations, which are measured by comparing alternative final results of the two methods with recommendations from experts. Tests were carried out in ten cases with different locations. The accuracy of the two methods was 70%.

No abstract

No abstract

The purpose of this study was to examine the impact of the triple helix concept in improving the capabilities of Small and Medium Enterprises (SMEs) innovative environment. The design of this research was explanatory research, which is tried to explain causal relationships. The data collection method is done by a survey method in the form of a questionnaire. The populations were all (SMEs) in Palopo city, Indonesia. The sample taken was as many as 200 samples, as a consideration of the minimum sample for the Structural Equation Model (SEM), which is 100 samples and an error rate of 5%. For SEM-PLS Smart PLS 3.2.8 could be run on a small sample of 30-100. Wherein the sampling technique used is Random Sampling. The results of the research of the triple helix model are proven to be able to describe the phenomenon of collaboration between intellectuals, government, and business in enhancing the creativity and capabilities of innovation of SMEs environment.

This study's objective is to examine the relationship between social media marketing activities, user trust, and user satisfaction. Everyone in Palopo City is a leader or stakeholder in Micro, Small, and Medium-Sized Businesses (SMEs). This study's sample was selected using a non-probability sampling technique based on the objective of the research, which was to examine Micro, Small, and Medium-Sized Enterprises (SMEs) via social media. Sample measurement took over 200 samples, with an error rate of about 5%. For hypothesis testing, this study employed a structural equation model using the Partial Least Squares (PLS-SEM) approach with the assistance of the software SmartPLS. The findings indicate a positive relationship between social media marketing activities and user satisfaction, with trust acting as a moderator. Furthermore, trust has a positive effect on user satisfaction. Practitioners and policymakers must be able to gain a better understanding of how social media can be used to support business activities. Practitioners must determine which social media platforms are of high quality, safe, simple to use, and affordable. Practitioners must also keep up to date on the advancement of digital information technology, particularly in developing countries. This study showed a more comprehensive model of social media, trust, and user satisfaction, as well as trust's mediating role.