Indonesia Conference Directory

Corresponding Author
Shinta Pratiwi

Institutions
Airlangga University, Surabaya-Indonesia

Abstract
Two-thirds parts of Indonesia territory is oceans that has highly potential of marine and fishery products that should be used to support the Indonesian economy, but it is hurt by the existence of illegal fishing practices by other countries. Our research used quantitative exploratory research methodology which aims to design an operational information system through implementing the automatic identification system by installing the LAPAN Satellite in order to detect the illegal vessels entering Indonesia and to increase the national income from non-tax revenue. The result of research assists in detecting all vessels that doing illegal fishing practices that process can be viewed by data flow diagrams, flowcharts, entity relationship diagrams, and examples of reports and illustrations of notifications. The further research about legal information system can be implemented to deal with illegal fishing.

Keywords
illegal fishing practices, automatic identification system, national income

Topic
Modeling, Simulation and Optimization

Link: https://ifory.id/abstract/NHRFCwqy7YLQ

Corresponding Author
Faradhyba Rizky Ramadhana

Institutions
Department of Urban and Regional Planning, Faculty of Architecture Design and Planning, Sepuluh Nopember Institute of Technology

Abstract
According to 2010-2030 Kediri Regencys Spatial Plans, Ngasem urban area is the capital of Kediri Regency which is planned to be the main function as a centre for trading, services in the form of Central Business District, a centre of public services and industrial area. The longer development of built up areas in Ngasem urban area keep on increase, but local government revenue (PAD)of Kediri Regency does not accomodate the plans cost. PAD should be one of the main funding source of APBD. However, Kediri Regencys PAD is still relying the balancing funds from the central government. APBD whereas if the urban land use was managed optimally, it will provide maximum benefits. Therefore, research is needed to determine the optimal space allocation direction in Ngasem urban area in order to maximize Kediris PAD. The first step in this research is formulation an optimization model which is conducted using linear programming for getting the optimal area composition. Then determining the optimal space allocation using Cellular Automata. The result of research show that the optimal model of landusing optimization will provide the highest benefit in PAD when the industrial land has the largest composition area than the trading and public service area. As for the trading lands are directed toward in the city main road and main urban area. Public services and facilities are directed toward the settlement area and industrial area are recommended to direct toward the infrasructure networks.

Keywords
Allocation, Cellular Automata, Linear Programming, Optimization

Topic
Modeling, Simulation and Optimization

Link: https://ifory.id/abstract/HrGT8JuLDwAN

Corresponding Author
M Khoerul Mubin

Institutions
UNIVERSITAS AIRLANGGA

Abstract
Indonesia is one of the countries experiencing economic growth problems. The purpose of this study is to examine and analyze the effect of foreign loans,the exchange rate of rupiah/ USD, inflation, the Fed Rate, and exports to Indonesias economic growth. The method of research in this study is ECM with period 2004 quarter I-2016 quarter IV. The conclusion is that in the long term, the variable of rupiah/USD exchange rate(X2) has a significant negative effect on economic growth, The Fed Rate(X4) has a significant positive effect on economic growth,and exports(X5)have a significant positive effect on economic growth,while in the short term variable exports(X5) have a significant positive effect on economic growth.

Keywords
economic growth, foreign loans,the rupiah/USD exchange rate,the Fed rate, inflation, exports

Topic
Modeling, Simulation and Optimization

Link: https://ifory.id/abstract/eMHFQynbmzju

Corresponding Author
M Khoerul Mubin

Institutions
FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS AIRLANGGA

Abstract
The 1997 East Asian Financial Crisis and the 2008 Global Financial Crisis make systemic risk one of the focuses of research that continues to grow and makes the financial sector the center of analysis. The relationship between financial institutions can cause rapid spread of liquidity, insolvency, and losses experienced by an institution due to the spillover effect. The banking crisis is one of the sources of the financial crisis. This study attempts to analyze how the influence of bank-s internal variabels and macroeconomics on systemic risk. Measurement of risk contribution uses the conditional value-at-risk (CoVaR) model of Adrian dan Brunnermeier (2016). The results of the study show that there are influences between internal banking and macroeconomic variabels on systemic risk in Indonesia. Liquidity, leverage, and ROA have an effect on and are positively related to systemic risk, but in this case the ROA variabel does not significantly influence while the deposit and size variabels significantly influence and are negatively related. The results of this study refute the doctrine of "Too Big To Fail" which has been valid. In macroeconomic variabels, namely the exchange rate and interbank money market interest rates (PUAB) have a positive relationship with the economic situation of a country that will affect the performance of the financial system in the country

Keywords
Systemic Risk; Delta-CoVaR; Banking

Topic
Modeling, Simulation and Optimization

Link: https://ifory.id/abstract/r8bkQAJYw4KU