Determinan Faktor Struktur Modal Perusahaan Tambang yang Terdaftar di Bursa Efek Indonesia

This study aims to determine the influence of Current Ratio (CR), Asset Structure (SA), Profitability (ROE) and Company Size (SIZE) partially and simultaneously to the capital structure of mining companies listed in Indonesia Stock Exchange 2013-2016. The type of research data is secondary data in the form of financial statement data, published by Indonesia Stock Exchange. Technique is using purposive sampling. The data used is panel data. There are 14 companies as cross section data and time series for 4 years from year 2013-2016. Research samples are 56. Method analyze data use multiple regression with program of SPSS. The result of the research shows that: 1) Current Ratio (CR) has significant effect to Capital Structure (CS) of Mining Company listed in Indonesian Stock Exchange in 2013-2016, 2) Asset Structure (SA) has no significant effect to Capital Structure CS) Mining Companies listed on the Indonesia Stock Exchange in 2013-2016, 3) Company size (SIZE) significantly influence the Capital Structure (CS) of Mining Companies listed on Indonesia Stock Exchange in 2013-2016, 4) Return On Equity (ROE) has no significant effect on Capital Structure (CS) of Mining Companies listed on Indonesia Stock Exchange in 2013-2016 and 5) Current Ratio (CR), Asset Structure (SA), Profitability (ROE) and Company Size (RO) SIZE) simultaneously have a significant effect on the company\u27s capital structure (CS)

EX POST AND EX ANTE IMPACT ANALYSIS OF RESEARCH PROGRAMMES USING CMMI FRAMEWORK

In this paper, we propose a new approach for evaluating research projects and programs. According our approach, the improvement might be achieved by adopting a results-based and a project portfolio approach, and assuring a research and technology development (RTD) indicators documentation through a standard and comprehensive indicator description, named indicator template. The results-based approach will assure a consistent indicators structure, according to the results chains and a strong connection between ex ante and ex post impact evaluation. The project portfolio approach will assure a tight integration of the research performance indicators, especially between policies goals and program results. And, finally defining a comprehensive indicator template it will be possible to understand better the indicators, develop a detailed analysis, based on the business intelligence techniques, such as OLAP (On-Line Analytical Processing), data mining and text mining. According our knowledge the usage of this kind of techniques on RTD metadata is an innovative process. What we expect to find out is the indicators similarities and differentiations, the indicators clusters, the association between indicators, the most important input factors of indicators definition. According the results-based and project portfolio approach the discovered patterns will be evaluatedRDT indicator, RDT statistics, indicator template, data mining, text mining.

Corporate Responsibility for Impacts of Mining Coal in Kalimantan

Normative legal research on corporate responsibility for the impact of coal mining in Kalimantan shows that environmental pollution has occurred. Such contamination occurs on water contamination and air pollution. Both polluted media are not only harmful to humans, but also to the surrounding ecosystem. As a form of corporate responsibility in the case of coal mining is implemented through a program known as Corporate Social Responsibility (CSR). This program is constrained by the lack of supervision and activities within the CSR program. Therefore, it needs supervision with clear structure and size to the implementation of CSR. That CSR on the one hand is a form of corporate responsibility related to impacts rather than mining conducted by the company. This supervision may be initiated in the form of a regulation regarding the period of social responsibility referred to, as well as its form in order for the surrounding community to obtain legal certainty. To the company, so that social responsibility can be implemented on a regular basis, so that the community gets adequate compensation. Moreover, it should also create technology that is concretely useful for efforts to minimize the risks arising from pollution. This is very important not only for the community, especially around the mining area. However, in order to maintain environmental sustainability in a broad sense. Keywords: Corporate Responsibility, Mining Coal, Environmen

On the Error Resilience of Ordered Binary Decision Diagrams

Ordered Binary Decision Diagrams (OBDDs) are a data structure that is used in an increasing number of fields of Computer Science (e.g., logic synthesis, program verification, data mining, bioinformatics, and data protection) for representing and manipulating discrete structures and Boolean functions. The purpose of this paper is to study the error resilience of OBDDs and to design a resilient version of this data structure, i.e., a self-repairing OBDD. In particular, we describe some strategies that make reduced ordered OBDDs resilient to errors in the indexes, that are associated to the input variables, or in the pointers (i.e., OBDD edges) of the nodes. These strategies exploit the inherent redundancy of the data structure, as well as the redundancy introduced by its efficient implementations. The solutions we propose allow the exact restoring of the original OBDD and are suitable to be applied to classical software packages for the manipulation of OBDDs currently in use. Another result of the paper is the definition of a new canonical OBDD model, called {\em Index-resilient Reduced OBDD}, which guarantees that a node with a faulty index has a reconstruction cost $O(k)$, where $k$ is the number of nodes with corrupted index

Stability of stope structure under different mining methods

The ore body has a great influence on the stability of surrounding rock and mining safety under different mining modes, and the reasonable selection of mining mode depends on other characteristics, such as ore structure surface feature, rock mass mechanical property, and ground stress distribution. Given the insufficient mining research data, this study establishes a 3D model by using the FLAC3D calculation program. Through numerical simulation and other technical means, a preliminary study on plastic and minimum stress changes during horizontal pillar mining, stress changes under different mining modes, and the effect comparison of full filling mining modes is conducted. Results show that the surrounding rock at the corner of pillar 1 is damaged, the plastic zone decreases, and the minimum stress in each working procedure increases slightly. The area of the plastic zone in alternate mining is smaller to that in continuous mining. This study provides a theoretical basis for ore body mining

Evaluation of commercial utility of ERTS-A imagery in structural reconnaissance for minerals and petroleum

Five areas in North America (North Slope-Alaska, Superior Province-Canada, Williston Basin-Montana, Colorado and New Mexico-West Texas) are being studied for discernibility of geological evidence on ERTS-1 imagery, Evidence mapped is compared with known mineral/hydrocarbon accumulations to determine the value of the imagery in commercial exploration programs. Evaluation has proceeded in the New Mexico-West Texas area while awaiting imagery in the other areas. To date, results have been better than expected. Clearly discernible structural lineaments in New Mexico-West Texas are evident on the photographs. Comparison of this evidence with known major mining localities in New Mexico indicates a clear pattern of coincidence between the lineaments and mining localities. In West Texas, lineament and geomorphological evidence obtainable from the photographs define the petroleum-productive Central Basin Platform. Based on evaluation results in the New Mexico-West Texas area and on cursory results in the other four areas of North America, ERTS-1 imagery will be extremely valuable in defining the regional and local structure in any commercial exploration program

A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands

Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have related them to anthropic pressure. In this study, we assessed changes in cover, number, and shape of Ziziphus lotus shrub individuals in a coastal groundwater-dependent ecosystem in SE Spain over a period of 60 years and related them to human actions in the area. In particular, we evaluated how sand mining, groundwater extraction, and the protection of the area affect shrubs. To do this, we developed an object-based methodology that allowed us to create accurate maps (overall accuracy up to 98%) of the vegetation patches and compare the cover changes in the individuals identified in them. These changes in shrub size and shape were related to soil loss, seawater intrusion, and legal protection of the area measured by average minimum distance (AMD) and average random distance (ARD) analysis. It was found that both sand mining and seawater intrusion had a negative effect on individuals; on the contrary, the protection of the area had a positive effect on the size of the individuals’ coverage. Our findings support the use of OBIA as a successful methodology for monitoring scattered vegetation patches in drylands, key to any monitoring program aimed at vegetation preservation

Incremental learning for Volcano monitoring

This document studies the creation of a computer program written in Java programming language to classify seismic movements occurred between 2015 and 2016 collected from volcano Puracé in Colombia, with the inclusion in this system of Data Mining application MOA by the University of Waikato. It is offered an initial study of aspects to take into consideration for the problem, presenting for a more profound analysis of the questions from a technological point of view, various suggestions and ways of confronting it. By performing a series of tests using surveillance data from volcano Puracé and applying modifications to these data, it’s derived the accuracy of Data Mining algorithms and necessary processes to produce a base structure for real-time applications related to seismic movement analysis. The analysis of the data is also performed, along with derivation of models of prediction using the program built for this project.Ingeniería Informática (Plan 2011

Engendering Community Participation or Contestations? Examining the Mandatory Community Development Agreement in the Extractive Sector of Sierra Leone

The African Mining Vision has engendered the introduction of mandatory community development agreement (CDA) into the legal framework of some countries in Africa. In 2009, Sierra Leone enacted the Mines and Minerals Act that obligates mining companies to invest in host communities. The study focuses on the Sierra Rutile CDA program\u27s case in Sierra Leone. Extant scholarly works have largely explored the resource curse and voluntary corporate social responsibility. There are limited studies to unravel the new mandatory community development agreement. Thus, the purpose of this study was to examine the CDA in Sierra Leone. The results show that the CDA has engendered a consistent fund for community development. It has also empowered ordinary members of the community to determine the development program. However, it has created a new ground for contestations between the pre-existing local governance structure (traditional authority) and the newly created community development committee (CDC)