3 research outputs found
Data governance: Organizing data for trustworthy Artificial Intelligence
No full textThe rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their failures cannot be tolerated, and they are subject to stringent regulatory and ethical requirements. However, they all rely on data which is not only big, open and linked but varied, dynamic and streamed at high speeds in real-time. Managing such data is challenging. To overcome such challenges and utilize opportunities for BDAS, organizations are increasingly developing advanced data governance capabilities. This paper reviews challenges and approaches to data governance for such systems, and proposes a framework for data governance for trustworthy BDAS. The framework promotes the stewardship of data, processes and algorithms, the controlled opening of data and algorithms to enable external scrutiny, trusted information sharing within and between organizations, risk-based governance, system-level controls, and data control through shared ownership and self-sovereign identities. The framework is based on 13 design principles and is proposed incrementally, for a single organization and multiple networked organizations.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog
Agroforestry system biodiversity of Arabica coffee cultivation in North Toraja District, South Sulawesi, Indonesia
No full textLisnawati A, Lahjie AM, Simarangkir BDAS, Yusuf S, Ruslim Y. 2017. Agroforestry system biodiversity of Arabica coffee cultivation in North Toraja District, South Sulawesi, Indonesia. Biodiversitas 18: 741-751. Sustainable coffee plantation emphasizes the concept that is able to provide services that can improve the quality of the environment and the ecosystem as a conservation efforts. Arabica coffee plants do not need full sunlight that they are planted according to agroforestry system which covers simple mix system to complex system such as forest. Shade tree has a very big role in sustainable coffee agro-ecosystem and become one of the conditions in the world's coffee certification. This study aimed to analyze the role of shade trees lamtoro types (Leucaena glauca), and calliandra (Calliandra calothyrsus) used by companies as an agroforestry systems on coffee cultivation in North Toraja located at an altitude between 1050-1250 m above sea level, this study was conducted from January to December 2016. Result of the study suggests that the shade trees lamtoro and calliandra influence the amount of sunlight intensity that reaches coffee plant. The shaded and unshaded coffee plants received different sunlight intensity of every minute with a coefficient of determination R2 = 0.98 for unshaded and R2 = 0.89 for under the shade of calliandra, with a diameter growth increased 7.8% year-1, increase growth (riap) diameter decreased 2% year-1. Cherry increased growth of 13.5% year-1 with an average weight of 3.81 g beans-1,while for the effect of lamtoro, the coefficient of determination is R2 = 0.98 for unshaded and R2 = 0.91 for under the shade. The percentage of light intensity outside and under the shade obtained from a 17 year coffee plant is on average of 58% for the types of tree of calliandra, while for lamtoro the average is of 72.5%, diameter growth of coffee tree in under shade lamtoro by 7.4% year-1 and increase of growth (riap) diameter decreased by 2.5% year-1, cherry growth increased by 13.3% year-1 with an average weight of 3.92 g beans-1. In addition to that, shading also affect the surrounding nutrient soil and maximum production of coffee is achieved at the age 17 years i.e. an average of 1.50 kg tree-1 for a shaded tree calliandra species and 1.35 kg tree-1 for lamtoro species.</jats:p
Analisys of Round Wood Production and Profit Sharing of Shorea Leprosula and Shorea Smithiana at PT Inhutani I Bukit Bangkirai Balikpapan
No full textThis study investigated the roundwood production and profit sharing for Shorea leprosula and Shorea smithiana in case of PT Inhutani I Bukit Bangkirai, Balikpapan. Five research aims pursued in order to better understand the economic valuation of Shorea tree species, are: 1) analyse the increments of woody; 2) identify the age of trees reached the highest increments of woody; 3) measure the highest value of mean annual increments (MAI); 4) examine the nominal rate of return (i) for roundwood production; 5) examine the profit sharing between the management of PT Inhutani I Bukit Bangkirai and investors. Additionally, the policy of profit sharing has been determined by the proportion of 55% for investors and 45% for the management.The results demonstrated that: 1) the wood potential of Shorea leprosula reached the highest value at the age of 40 years by producing 7.78 m3 ha-1 year-1, and Shorea smithiana reached the highest value at the age of 50 years by producing 333.34 m3 ha-1 year-1; 2) the highest value of MAI for Shorea leprosula and Shorea smithiana are 7.78 and 6.67 m3 ha-1 year-1 respectively; 3) the nominal rate of return (i) of Shorea leprosula is 7.8% for investors and 8.3% for the management, and Shorea smithiana is 6.3% for investors and 6.7% the management. Overall, this research found that the economic value of Shorea leprosula and Shorea smithiana provide the nominal rate of return (i), which is higher than minimum acceptable rate of return (MAR)
