Judul: Dinamika inflasi Indonesia pada tataran provinsi
Abstrak: Indonesia never experience any annual deflation for more than forty years. After being strucked by the 1998 economic crisis, Indonesia introduced two fundamentals policies, those are the exchange rate rearrangement in 1999 and the decentralization policy in 2001. Following the implementation of those policies, there are some changes of policy or non-policy variables that would be responded by various level of inflation among regions in Indonesia. This research aim to examine the policy and non-policy variables affecting Indonesian inflation dynamics at provincial level. After utilizing the method of dynamic panel data with spatial and non-spatial approaches, this research found that during the period of 2000-2009, inflation dynamics are likely affected by non-policy variables, such as inflation inertia, exchange rate volatility, and the simultaneous changes of infrastructure conditions and trade openness. Some policy variables such as salary adjustment of government employee, adjustment of domestic oil price and interest rate adjustment are also affecting the inflation dynamics. It is suggest that central bank together with government develop system to support inflation-forecast targeting. In order to decrease exchange rate pass through, government can propose import substitution, nationality suasion to use domestic product and the obligation for proposing a new establishment’s permission to use a local base or domestic material in the most. It is also suggest that central government sets the domestic oil prices adjustment periodically to minimize bad impact of unanticipated expectation of the policy, beside that, salary adjustment of government employee must be set carefully to avoid higher inflation expectation. Further more, in the way of interest rate adjustment and targeting inflation, central bank should construct an accurately forecast to raise their credibility. Last, central and local government must concern about the improvement of the infrastructure condition and simplification of regulation which related to business environment.
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Judul: Modelling indonesia’s regional inflation using static and dynamic panel data regression
Abstrak: Inflasi merupakan masalah ekonomi yang dialami setiap negara. Inflasi yang tidak terkendali dapat berdampak buruk bagi perekonomian dan mengganggu stabilitas nasional. Inflasi nasional ditentukan oleh inflasi daerah. Inflasi regional di Indonesia besarnya bervariasi karena perbedaan karakteristik daerah dan adanya kebijakan otonomi daerah. Penelitian ini menduga model tingkat inflasi di 31 provinsi di Indonesia periode 2006-2012 dengan menggunakan regresi data panel statis dan dinamis. Nilai RMSE, MAE dan MAPE menunjukan angka yang lebih kecil pada dugaan model regresi data panel dinamis menggunakan prosedur SYS-GMM daripada dugaan model regresi data panel statis menggunakan model efek tetap. Model yang memasukkan peubah tingkat inflasi tahun sebelumnya sebagai peubah bebas lebih baik dari sisi kesalahan pendugaan dibandingkan model yang tidak menggunakan peubah tingkat inflasi tahun sebelumnya. Peubah yang mempengaruhi tingkat inflasi secara signifikan adalah upah minimum provinsi riil, konsumsi energi listrik dan tingkat inflasi tahun sebelumnya., Inflation is an economic problem that is experienced by every country. Uncontrolled inflation rate causes bad impact in national stability. National inflation rate depends on regional inflation rates. Regional inflation rate in Indonesia varies due to differences in the characteristics of the area, the differences in economic structure and the policy of regional authonomy. This study estimates regional inflation rate model using yearly data in 2006 until 2012 from 31 provinces in Indonesia and uses static and dynamic panel data regression. RMSE, MAE and MAPE of dynamic panel data regression using SYS-GMM procedure have smaller value than static panel data regression using fixed effect model. It means that estimation model which includes the previous year’s inflation rate variable as independent variable is better than estimation model which doesn’t use it. The significant variables that affect inflation rate are regional minimum wages, consumption of electricity and previous year’s inflation rate. Keywords: regional inflation, dynamic panel data regression, static panel data regression
Keyword: inflasi regional, regresi data panel dinamis, regresi data panel statis

Judul: Penyusunan Overlap Graph menggunakan Suffix Tree pada DNA Sequence
Abstrak: The DNA sequence assembly is very important in genome analysis. This step aims to reconstruct contigous DNA fragment (contigs) from short fragment by concatenating fragments based on the overlap region among them. This method employs overlap graph for solving the problems. In this graph, nodes represent fragments and edges represent overlap. This research developed a software for constructing overlap graph using suffix tree. The evaluation was conducted by measuring the number of nodes, number of edges, and the execution time in many values of minimum overlap. The minimum overlap is defined as the minimum length of substring which is considered as the overlap region between two fragments. The evaluation results showed that the number of nodes, the number of edges, and the execution time were increased with the decreasing of the minimum overlap value.
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