Logistics’ significance in international trade is being noted more and more frequently. This study was conducted to analyze the influence of logistics performance on trade volume between the Republic of Korea (ROK) and member states of the Association of Southeast Asian Nations (ASEAN) in order to identify the areas of the Indonesian logistics industry that require improvement to increase trade volume between Indonesia and the ROK. This study focuses on Indonesia, Vietnam, Malaysia, Thailand, and the Philippines, which are actively responding to the reconfiguration of the global value chain (GVC). The report also includes Cambodia, Laos, and Myanmar, which can be viewed as potential GVC competitors of Indonesia due to their considerable manufacturing growth potential. Based on the gravity model, which explains trade volume between regions, this study looked into the effect of the logistics performance index (LPI) of these ASEAN nations on trade with the ROK by analyzing panel data. This study utilized previously published (secondary) data to derive new outcomes. Most of the statistical data were extracted from the World Bank database, IHS Markit, and Euromonitor. The results show that an improvement of LPI can lead to growth in the trade volume between ROK and ASEAN Nations including Indonesia. The study’s insights suggest which logistical areas Indonesia should focus on developing in order to boost trade with ROK and obtain a competitive edge in the GVC reconfiguration.

The purpose of this study was to determine the effect of ship worthiness and seafarers' skills on improving ship operational performance through minimum service standards. Some early indications found in the field, such as the low performance of ship maintenance by procedures, and the obstacles in implementing the ship maintenance plan due to the inefficiency of the ship's operating schedule. This study uses Path Analysis with Path Coefficients Sub Structure 1 and Sub Structure 2. The test method used for the direct effect is the regression method while the indirect effect is the Sobel test. The number of samples is 80 respondents from national shipping companies, from various types of ships, namely, crew boats, patrol boats, utility boats, supply vessels, and anchor handling towing supply. The results of the study indicate that there is a positive and significant effect of seaworthiness and seafarers' skills on increasing ship operational performance, directly or indirectly through minimum service standards. The minimum service standard variable can mediate the indirect effect of the seafarers' skill and ship worthiness variables on the operational performance of the ship. To meet the growing customer satisfaction as the consequences of tight competition, it is necessary to improve the quality of the fleet where durability, cleanliness of the fleet, and safety facilities in the fleet are expected to provide a high guarantee for safety.

This study aims to analyze the contribution of Green Manufacturing and Green Distribution on improving the performance of Green Supply Chain Management (GSCM) through Reverse Logistics. The development of industry and increasing consumer concern for the environment as well as issues regarding the concept of an environmentally sound industry have forced industries to adjust in line with the GSCM concept. To make the program a success, Green Manufacturing, Green Distribution, and Reverse Logistics are assumed to be supporting the implementation process. This study uses quantitative methods, with the number of samples taken randomly as many as 70 people. The analysis was carried out using the Path Analysis method. Hypothesis testing was carried out in two stages, namely Structural Model-1 and Structural Model-2 testing to obtain each path coefficient number. The results of the study conclude that there is the contribution of Green Manufacturing, Green Distribution, and Reverse Logistics on the success of GSM implementation so that companies must always pay attention to the facilities and related policies to improve the performance of those variables.

This study aims to identify the factors that contribute to the formation of Net interest income (NII) for commercial banks in Indonesia in the short and long-term using the Vector Error Correction Model (VECM). The results showed that in the short term all variables in each period tend to adjust to achieve long-term balance. In the short term, the variables that affect NII are credit and NPL of large and retail trade, construction credit, transportation credit and NPL warehousing and communication, as well as lending rate facility. While in the variable length figures that affect NII are credit variables and NPL large and retail trade, Credit and NPL Transportation, warehousing and communication, other credit and Third-Party Funds (Deposit) collected. The analysis of Impulse Response Function can be proven that NII most quickly achieves stability when dealing with the shocks of large trade and retail NPL. Meanwhile, in the Forecasting Variance Decomposition analysis, it can be concluded that the variable that gives the greatest contribution to NII is the amount of construction credit.