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All Journal SEISENSE Journal of Management Contributions of Central Research Institute for Agriculture
Darsono Darsono
Universitas Sebelas Maret, Indonesia
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Social Sciences

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The Impact Of Social Media On Microgreens Product Knowledge And Purchase Intention Salmaa Muftiyatunnisa; Darsono Darsono; Sapja Anantanyu
SEISENSE Journal of Management Vol. 6 No. 1 (2023): SEISENSE Journal of Management
Publisher : SEISENSE (PRIVATE) LIMITED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33215/sjom.v6i1.834

Abstract

Purpose- The purpose of this research is to find out the impact of social media Instagram on microgreens’ product knowledge and purchase intention by using several components of the AISAS model.Design/Methodology- Respondents in this study were 15 to 45 years old and were followers of Instagram accounts that disseminate knowledge and market microgreens’ products. This study uses a simple random sampling method. This study employs a variance-based structural equation modeling (SEM) analysis, that is partial least squares (PLS). The data from this research were analyzed using SmartPLS 3.0 software.Findings- The results revealed that social media significantly affected attention, Interest, and Search. Search has a significant and positive impact on increasing knowledge of microgreens products. Knowledge of microgreens products has a significant impact on purchase intentions of microgreens products. Originality- This research produces new findings regarding consumer behavior on microgreens and their influencing factors. Practical Implications- The results of this study can be used as a reference to find marketing methods and develop the most effective strategies to attract microgreens consumers.
Analysis of Soybean Demand in Klaten Regency Arif Ludianzah; Darsono Darsono; Agustono Agustono
Contributions of Central Research Institute for Agriculture Vol. 17 No. 1 (2023): January: Agriculture
Publisher : Central Research Institute For Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.15 KB) | DOI: 10.35335/cceria.v17i1.21

Abstract

The aims are to analyze and identify the factors that affect demand for soybeans and the level of sensitivity (elasticity) demand of soybean in Klaten Regency. The basic method used descriptive analysis. Intake of study sites in purposive in Klaten Regency. The data is analyzed secondary data (time series) during 16 years (1993-2008). Data analysis using OLS (Ordinary Least Square) with a double logarithmic function, to obtain the coefficient of elasticity that is in use in static and dynamic analysis model. Elasticity of demand for the static model based on price elasticity, demand for soybeans is inelastic. Based on the income elasticity, soy is a normal good. Whereas for a dynamic analysis model, the elasticity of demand for short-term and long term for soybean prices is inelastic with a value of -0,134 and -0,1595. This means a change of 1% soybean prices will reduce demand for soybeans -0,134% in the short term and -0,1595% in the long term. The elasticity of demand for shortterm and long-term residents for revenue is inelastic with a value of 0,094 and 0,1119. This means that changes in population income by 1% would raise soybean demand for 0.094% in the short term and 0,1119% in the long term. The elasticity of demand for short-term and long term for the total population is elastic with a value of 2,150 and 2,5595. This means that changes in population income by 1% would raise soybean demand for 2,150% in the short term and 2,5595% in the long term.
Co-Authors Agustono Agustono Arif Ludianzah Nurul Arifah Fauzi Salmaa Muftiyatunnisa Sapja Anantanyu Sutrisno, Joko