scholarly journals Macrozoobenthic community assemblage as key indicator for mangrove restoration success in North Sumatra and Aceh, Indonesia

2021 ◽  
Author(s):  
Mohammad Basyuni ◽  
Yuntha Bimantara ◽  
Nguyen Thi Kim Cuc ◽  
Thorsten Balke ◽  
Alejandra G Vovides
2018 ◽  
Vol 1 (2) ◽  
pp. 162-168
Author(s):  
Rizka Amelia ◽  
Onrizal Onrizal ◽  
Nurdin Sulistiyono

Hutan mangrove merupakan sumber daya lahan basah yang berfungsi sebagai penyangga kehidupan. Namun demikian, dalam beberapa dekade terakhir, hutan mangrove banyak yang rusak atau hilang, terutama akibat konversi mangrove menjadi lahan tambak. Kegiatan restorasi mangrove pada lahan bekas tambak telah mulai dilakukan dalam beberapa tahun terakhir. Peneltian ini bertujuan untuk mengukur pemulihan jenis-jenis mangrove melalui kegiatan restorasi mangrove pada lahan bekas tambak serta mengetahui komposisi jenis hutan mangrove hasil restorasi dimaksud di pesisir timur Sumatera Utara. Sebanyak 30 plot contoh yang masing masing berukuran 10 m x 10 m telah dibangun di setiap umur tegakan (5-9 tahun) dan hutan sekunder. Seluruh pohon yang berdiameter (DBH) ≥ 2 cm di dalam plot contoh diidentifikasi dan diukur diamaternya. Secara keseluruhan, terdapat 14 jenis mangrove pada seluruh plot contoh atau setara dengan 42,42% dari seluruh jenis tumbuhan mangrove sejati yang terdapat di Indonesia. Dengan demikian, restorasi mangrove mampu memulihkan keanekaragaman jenis mangrove, sehingga restorasi mangrove pada lahan bekas tambak perlu dipromosikan dalam upaya mengembalikan berbagai fungsi mangrove bagi ketahanan masyarakat dan sumberdaya pesisir.   Mangrove forest is a wetland resource that serves as a buffer zone. However, in the past few decades, many mangrove forests have been damaged or converted, mainly into ponds. To address such a problem, mangrove restoration activities have begun in recent years. This research aims to measure the recovery of mangrove species on ex-pond land and indicate the type of mangrove forest composition through the mangrove restoration activities in North Sumatra. A total of 30 sample plots, with 10 m x 10 m size each, have been built at each stand age (5-9 years) and secondary forests. All trees with a diameter (DBH) ≥ 2 cm in the sample plot are identified and measured. The results show that overall, there are 14 types of mangroves in all sample plots, equivalent to 42.42% of all pure mangrove species in Indonesia. Therefore, it can be concluded that the activities can restore the diversity of mangrove species, so that needs to be promoted as an effort to restore the various functions of mangroves to resilience the community and coastal resources.


MBIA ◽  
2019 ◽  
Vol 17 (3) ◽  
pp. 17-24
Author(s):  
Cut Ermiati ◽  
Dita Amanah ◽  
Dedy Ansari Harahap ◽  
Fitriani Tanjung

This study aims to determine the effect of career development and work placement on employee work performance at PDAM Tirtanadi, North Sumatra Province. The population in this study were all employees per division, amounting to 182 employees. From the total population can be determined the number of samples in this study amounted to 65 people. The data analysis technique used is the t-test, f-test, multiple linear regression and determinant coefficient test using SPSS 22. From the calculation results using SPSS shows that there is an influence of career development on employee work performance, there is the influence of work placement on employee performance and there is the influence of career development and work placement on employee performance.


2018 ◽  
Vol 36 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Kristen E. Dybala ◽  
Andrew Engilis ◽  
John A. Trochet ◽  
Irene E. Engilis ◽  
Melanie L. Truan

2020 ◽  
Vol 19 (6) ◽  
pp. 1154-1172
Author(s):  
Yu.V. Granitsa

Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.


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