The purpose of this paper is to analyze the effect of marketing mix on customer loyalty through customer satisfaction in food and beverage products of SMEs in Malaysia. The method of collecting data is by using questionnaire and a sample of 300 customers is used for data gathering. Path analysis and Sobel test are used in analyzing the data. The finding shows that product, promotion, place and price have positive effects on customer satisfaction of food and beverage products SMEs in Malaysia. Product, promotion, place and price give contribution to customer satisfaction about 68.9% while the rest is affected by other variables which are not included in this research. Moreover, customer satisfaction has a positive effect on customer loyalty. The finding also shows that product, promotion, place and price had positive effects on customer loyalty through customer satisfaction of food and beverage products SMEs in Malaysia. Product, promotion, place, price and customer satisfaction influence on customer loyalty about 61.7%.

Purpose: This activity aims to provide MSMEs to learn how create strategy marketing using food service delivery and to rising sales through development of digital marketing. Methodology: This activity assists with applying MSMEs through marketplace, help to promote product with copywriting, manage sales, create a digital catalogue, and develop, give instruction how to create design for packaging product. Results: This dedication output upgrade knowledge of product, registering MSME address to food services delivery accounts, understanding how to expanding market and sales reach using digital marketing, Social Media and food service delivery. Conclusions: The activities carried out by the Abdimas Team so that Heppi Kitchen Depok MSMEs become more competitive MSMEs include Development of Social Media Marketin and Development of digital marketing Limitations: Limitation of this study is on totat number MSMEs. Contribution: These MSMEs have helped gaining more income of selling the products. One strategy that can be used to survive this challenge is to maximize online sales. Keywords: 1. MSMEs 2. Social Media 3. Digital Marketing

The study aims to know the influence of service quality on community satisfaction in the development of population administration at Kependudukan and Pencatatan Sipil Offices of Surade Region, Sukabumi Regency. Along with developments, various public complaints are often found regarding the decline in professionalism in public services in almost all government sectors or regions which are marked by a decrease in the quality of public services, especially in making population administration according to procedures. The variables used in this study are service quality as an independent variable and community satisfaction as the dependent variable. This study used questionnaire as the instrument of collecting data.  Analysis data for this study used simple regression analysis. The result showed that the hypothesis testing for the effect of service quality on satisfaction obtained a t-count value of 8.361 with a significance level of 0.000 <0.05 then and the t-count value = 8.361 > t-table = 1.661, so that the service quality variable has significant and positive effect on satisfaction.

Country index Crash risk is part of risk management that is interesting and important to research. Study of country index crash risk helping investors to make better decisions and manage risk. This study aims to determine the effect of Investor Sentiment, Exchange Rate, and Net Foreign Portfolio Investment on the Country Index Crash risk. Novelty This study uses Net Foreign Portfolio Investment as a moderating variable and a sample of all countries. Crash risk research is usually firm, but this study uses the country level. Research Methods this study uses secondary data from the World Bank and the investing.com website. The dependent variable s the Country Index Crash risk, which is proxied by CRASH, NCSKEW, and DUVOL. Sample The data analysis method is the logistic regression panel data, and OLS regression with a clustered standard error two dimensions approach will process with Eviews software. Binary logit regression used for the dependent variable is a dummy variable, one if there is a crash risk and 0 if there is no crash risk. Meanwhile, OLS regression with a clustered standard error two dimensions approach tests dependent variables (crash risk as proxied by NCSKEW and DUVOL). Finding/Results this study indicate that investor sentiment has a positive and significant effect on the Country Index Crash risk (Proxy: CRASH). Net Foreign Portfolio Investment and investor sentiment have a positive and significant effect on Country Index Crash risk (Proxy: NCSKEW), and Net Foreign Portfolio Investment further strengthens the exchange rate and investor sentiment on Country Index Crash risk (Proxy: NCSKEW). This study also shows a positive and significant effect of Net Foreign Portfolio Investment and investor sentiment on Country Index Crash risk (Proxy: DUVOL). In addition, Net Foreign Portfolio Investment further strengthens the influence of the exchange rate and investor sentiment on Country Index Crash risk (Proxy: DUVOL)