This study aims to analyse the significance factors of Sea Export Process, Forwarding Responsibility, and Warehouse Handling Process towards the operational performance of Raja abadi branch Company in Semarang. This study is performed to the company's staff members as the population of 70 respondents. The data collection involves observations, literary reviews, interviews, documentations, and questionaires. Furthermore, the analysis technique used in this study is based on the result of research and multiple analysis using SPSS v.23 program. Based on the results of the research, the following equations are generated :
Y = 2,752 + 0,268X1 + 0,342X2 + 0,184X3 + µ
Based on the multiple linear regression equation, the study found out that the most dominant variable in the operational performance of the company is the Forwarding Responsibility variable with the regression coeficiency of 0,342. Furthermore, the determinated coeficiency (adjusted R square) showed a result of 0,707 or 70,7%. This means the operational performance of the company is governed by the variables of Sea Export Process, Forwarding Responsibility, and Warehouse Handling Process by 70,7% as well as other factors by 29,3%.
Therefore, it is found that Air Export Process, Forwarding Responsibility, and Warehouse Handling Process played a positive and significance role for the operational of the Raja abadi branch Company in Semarang.

The waiting time for ships is one of the problems that must be a concern at Tanjung Intan Port Cilacap and which is very influential for the smooth process of unloading coal from coal carriers to Tanjung Intan Port, Cilacap. This study aims to determine the factors that affect the ship's docking schedule, pilotage services, loading and unloading productivity on the waiting time of the ship. This research was conducted at Tanjung Intan Port, Cilacap. Data was collected through observation, literature study, interviews, documentation and questionnaires. The analysis technique used is multiple linear regression with the help of SPSS V.26 program. Based on the results of research and multiple analysis, the following equations are generated:Y = 0.254 +0.297X1+0.585X2+0.177X3+µ. Based on empirical facts and the results of multiple linear regression equations, it is shown that the Ship docking schedule variable (X1) has t count (3.409) > t table (1.98373), pilotage service variable (X2) has t count (5.809) > t table (1.98373), and loading and unloading productivity (X3) has t count (2.967) > t table (1.98373). As for the value of the adjuster R2 = 0.582. This means that 58.2% of the dependent variable (Y) can be explained by the independent variables, namely Ship docking schedules, guidance services, and loading and unloading productivity. While the rest (100% - 58.2%) = 41.8% is explained by other reasons outside the variables studied. Thus, the results of the study show that the availability of docks, guidance services, and loading and unloading productivity has a positive and significant effect on waiting time for ships at Tanjung Inttan port, Cilacap.

As international trade activities are increased, there are more regulative practices which might  be  barriers to trade. One  of such hindrances is exchange rate volatility that  affects trade activities both  directly  and indirectly. Exchange rate volatility of currencies can  affect  the  trade engagements and  as well as the  trade balance of a country. One  of the  implications of the  study is that  the  impacts of monetary policy changes on trade activities can  be  noticed significantly in the  long-term. While impacts on export levels  are usually immediate, import levels are changed in long-run. The research analyzes the correlation between inflation and  devaluation and  clearly  states their  impacts on  trade balance. The  case study about devaluation of the  currency of Azerbaijan elaborates the  impacts of currency volatility on exports which is illustrated and analyzed in this research. Moreover, inflation and  devaluation correlations and  their impacts on import level of a country are studied through correlation and  multiple  regression analyses based on the  data exported from  OECD and  World Bank.  The  results conclude that  exchange rate volatility significantly impacts the trade balance in terms of imports and  exports. Given the  results, exchange rate is a non-trade barrier and affects foreign trade.

The purpose of this study was to determine whether or not the influence of customer experience, consumer confidence, prices and flight ticket purchasing decisions on the Traveloka application for UNIMAR AMNI Semarang Students. The sample in this study amounted to 52 respondents who used airline ticket services in the Traveloka application. By using probability sampling technique, namely by random sampling. Analysis of the data used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of (software) Statistical Package For Social Science (SPSS) version 26. The results of the study by partially testing the t-test hypothesis showed that Customer experience, consumer trust, and price have a positive and significant effect on purchasing decisions. Based on the research results, it can be seen that the research model of the multiple linear regression equation is Y= 0.095 + 0.484.X1 + 0.195.X2 +0.295.X3 + . From the regression equation, it can be seen that the most dominant variable affecting the increase in the number of passengers is the price variable with a regression coefficient of 0.095. And the R2 test (Adjusted R Square) obtained results of 0.780 or 78.0% which means that purchasing decisions are influenced by customer experience, consumer confidence and price variables which are 63.8% and other factors that influence passenger decisions are 36.2 % or 0.362.