Pengaruh Intellectual Capital Terhadap Kinerja Keuangan Perusahaan Yang Dimoderasi Oleh Good Corporate Governance

This study aims to analyze the Influence of Intellectual Capital components to the Company's Financial Performance and Test the role of moderation of Good Corporate Governance in the relationship of Intellectual Capital Component and Financial Performance of the Company. Intellectual Capital uses VAIC method developed by Pullic with its component is Value Added Capital Asset-VACA, Value Added Human Capital-VAHU and Structural Capital Value Added -STVA. The Company's Financial Performance Indicator is measured using ROE -Return On equity. And Good Corporate Governance is proxied by using CGPI score. The sample of this research is obtained by using purposive sampling so that obtained 73 companies listed in rank score of CGPI score year 2008-2015. The results of this study indicate that the components of Intellectual Capital (VACA, VAHU and STVA) have an effect on Corporate Performance and CGPI-Corporate Governance Perception Index moderate Intellectual Capital (VACA, VAHU and STVA) influence to company performance. Except Structural Capital Value Added -STVA is insignificant and does not moderate intellectual capital (VACA, VAHU and STVA) and company performance. Keyword: Value Added Capital Aset-VACA, Value Added Human Capital-VAHU dan Structural Capital Value Added –STVA, CGPI- Corporate Governance Perception Indeks dan ROE –Return On equit

Achieving Green Construction Rating in Building Projects with Fuzzy System Approach

Green construction is a way of planning and managing construction projects to minimise the impact of the construction process on the environment so that there is a balance between environmental capabilities and human needs for current and future generations. Appropriate Land Use (ASD), Energy Efficiency and Conservation (EFC), Water Conservation (WAC), Material Sources and Cycles (MRC), Air Quality and Space Comfort (IHC), and Building Environmental Management (BEM) are six guidelines for evaluating green building assessments. These are used as a benchmark for green buildings; a check is carried out to determine the rating of the building. The evaluation is carried out by distributing questionnaires. The data is processed using the Fuzzy method through the Matlab application, which refers to the Greenship 1.2. The results showed that the calculation analysis with the help of MS Excel and modelling with a fuzzy system in the Matlab application gave the same predicate results. Validation of modelling results with case studies on Building Projects in Malang City showed Bronze predicates with a total index of 44 Points and Silver predicates with a complete index of 57 Points