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Application of IAS 41-Agriculture in developed countries contrast with agricultural  entities conditions in developing countries especially for Indonesia. The adoption of IAS 41 makes DSAK-IAI issue PSAK 69 Agriculture intended for agricultural entities so that they can measure and record related biological assets of a company. However, the application of PSAK 69 to agricultural companies also facing problems such as changes in accounting treatment especially for accounting method which are changed form historical value to fair value. The purpose of this study is to provide an overview of accounting treatment of biological asset in Jember plantation companies in state-owned plantation companies in Jember and Bondowoso regencies, namely PTPN 12 and PTPN 11 (PG Pradjekan). The methode used was descriptive qualitative. The researchs showed that differences in biological assets of each company can cause differences in the recording of biological assets. The differences between the two companies are in terms of plant type, plant age and costs incurred in each type of plant. However, in other cases, the accounting treatment of biological assets in PTPN 11 (PG Pradjekan) and PTPN 12 has similarity on recording biological assets at acquisition cost method. This study shows that currently both companies are still  used accounting records with a historical value approach that accumulates all costs incurred from the nursery process until the plants are transformed into yielding crops.
  

In the globalization and ASEAN Economic Community era, the competitiveness of Indonesian industries to sell goods and services is facing more severe challenges. It is partly due to the low performance of Indonesian logistics sector, and one of the contributing factors to the unsatisfactory logistics is poor logistics infrastructure. In this regard, this paper has several research objectives. The first is to analyze the performance of Indonesia logistics infrastructure in the past decade. The second is to analyze Indonesian logistics infrastructure development with its relevant fiscal policy support and evaluate its short-term progress. The research method adopted in this study is descriptive analytical method. In comparison with other countries, especially ASEAN region, the performance of Indonesian logistics infrastructure over the past decade tends to be steadily incompetitive, below the average of ASEAN countries. It is found to be one of the prime determinants of the high logistics costs in Indonesia. The government serious attention and the consistency of its policy towards improving logistics infrastructure during the 2014-2019 period has been partially seen, but the program sustainability is required in subsequent periods. In the short term, a temporary evaluation until 2017 of the sea toll program integrated with the construction of logistics infrastructure shows a positive impact. The positive impact is indicated from the decreasing prices of basic necessities in the eastern region of Indonesia by 20%-40%, and the economic revival of Eastern Indonesia region due to currently cheaper transportation costs.

The success of SMEs is determined by the business capital and able to give value added to the business more productively. Various financing pattern schemes for SMEs have been provided in various regions and all economic sectors. However, the development of SMEs credit is still concentrated in several regions in Indonesia this can lead to inequality in the growth of SMEs. This study aims to analyze the convergence of absolute beta and conditional beta in the Provinces in Indonesia and calculate the half-time or time required to achieve steady-state conditions of the SME credit convergence process. Convergence test used is beta conditional convergence and absolute convergence with the monthly time period during 2017.1 until 2017.7. The determinant of SMEs convergence of credit in Indonesia is a number of third-party funds. The model used is dynamic panel data regression and the estimation method used is Arellano-Bond Generalized Method of Moment (AB-GMM). The results of the study show that during the study period, there has been a convergence credit process in Indonesia for both absolute and conditional convergence models. The conditional beta-convergence model provides a smaller beta value than the absolute model. The speed of credit growth convergence between provinces in Indonesia with half-time of 6.94 months for the absolute model and the half-time of 6.96 months for the conditional model