Judul: Ukuran Kemiripan Gene Ontology Annotation Berbasis Language Model Dirichlet Similarity Menggunakan Solr
Abstrak: Informasi mengenai keanekaragaman hayati khususnya gen tumbuhan banyak ditemukan dari buku-buku terkait ataupun dari internet. Tetapi informasi ini sangatlah besar dan memiliki format yang berbeda-beda. Biodiversity Informatics dapat menutupi kekurangan ini dengan menggunakan struktur ontologi sebagai representasi pengetahuannya. Gene Ontology (GO) merupakan ontologi yang menyediakan informasi mengenai gen. Dalam penelitian ini digunakan sebuah mesin pencari Apache Solr untuk mencari data dengan skala besar seperti GO. Urutan ranking dokumen yang dikembalikan ditentukan dengan melihat kemiripan language model dengan dokumen yang telah dilakukan smoothing dengan metode Dirichlet Smoothing. Pengaruh salah satu parameter Dirichlet, panjang dokumen, terhadap estimasi peluang tidak terlalu besar. Tingkat relevansi sistem berdasarkan nilai MAP dan R-precision sudah cukup relevan. Hasil penelitian menunjukkan bahwa semakin besar panjang dokumennya maka akan semakin kecil pengaruh Dirichlet prior terhadap estimasi peluang.
Keyword: biodiversity informatics, gen tumbuhan, ontologi, temu kembali informasi

Judul: Ukuran Kemiripan Anotasi Gene Ontology Berbasis Information-Based Similarity Menggunakan SOLR.
Abstrak: Indonesia kaya akan keanekaragaman hayati. Informasi-informasi biodiversitas yang disediakan sangat banyak dengan format yang berbeda-beda. Mengingat ukuran datanya yang besar dan banyak, dibutuhkan sebuah mesin pencari yang baik, namun seringkali dokumen yang dikembalikan tidak relevan. Untuk meningkatkan hasil kerja mesin pencari adalah dengan menggunakan algoritme kemiripan yang baik, salah satunya adalah information-based similarity. Dokumen yang digunakan dalam penelitian ini adalah Gene Ontology. Dalam penelitian ini dilakukan perbandingan kinerja antara metode information-based similarity dan metode pengukuran kemiripan default yang digunakan SOLR. Hasil evaluasi MAP yang diperoleh untuk metode information-based similarity lebih tinggi, yaitu 0.894154, sedangkan nilai R-precision yang didapatkan untuk kedua metode adalah sama. Hasil perbandingan menunjukkan bahwa metode informationbased similarity sedikit lebih unggul karena mampu menampilkan semua dokumen relevan pada urutan atas.
Keyword: biodiversitas, Gene Ontology, information-based similarity, mesin pencari

Judul: Exchange Market Pressure and Central Bank Intervention for Three ASEAN Countries
Abstrak: Two of the exchange rate systems which are adopted by many countries are the floating and the fixed exchange rate system. Both the exchange rate systems have different characteristics. Countries that implement fixed exchange rates system tend to set their domestic currency exchange rate at a certain point. On the contrary, countries which implement floating exchange rate system tend to let their domestic currency exchange rate to move flexibly and thus their value will always change according to the demand and supply of the currency in the foreign exchange market. Countries which implement floating exchange rate system are facing the risk of fluctuation in the exchange rate of their domestic currency against foreign currencies. The currency exchange rate fluctuation may be caused by economic problems such as a financial crisis. A country can also be potentially affected by other countries’ earlier financial crisis. This effect could potentially happen if these countries are in the same region, such as ASEAN. The 1997 ASEAN economic crisis was an example of a country’s financial crisis could affect other countries. At that time, some countries such as Indonesia, Malaysia and Thailand had to change their currency exchange rate system from the fixed exchange rate system to the floating exchange rate system due to the high costs which has to be incurred if they were to enforce the fixed exchange rate system. During 2002 until 2012, the domestic exchange rate of Indonesia, Malaysia and Thailand against the U.S. dollar had tended to fluctuate. If the domestic currency exchange rate fluctuated excessively then the central bank would intervene to stabilize the exchange rate in the foreign exchange market. The pressure on domestic currency exchange rate pressures has forced the central bank to intervene. The amount of those pressures can be analyzed by calculating the Exchange Market Pressure (EMP) index. Apart from that, the time when interventions are done by the central bank can be known based on EMP by calculating the Exchange Market Intervention (EMI) index. The purposes of this study were to determine the level of international pressure on the currency exchange market and monetary authorities intervene in three ASEAN countries, as well as to determine the effect of the monetary authorities intervene on the exchange rate of the domestic currency against the U.S. dollar in those three ASEAN countries. Based on the EMP index calculation results which are obtained during 2002 to 2012 period, the exchange rate of Indonesia, Malaysia and Thailand’s domestic currency had always fluctuated and the results of the EMP index indicated that each country were under diverse level of currency exchange rate appreciation and depreciation pressures. Thailand was the country with the highest currency exchange rate pressure compared to Indonesia and Malaysia. The results on the intervention index calculation showed that Indonesia, Malaysia and Thailand have intervention index between zero and one and more than one. We can also see from the intervention index that Indonesia and Thailand implement the controlled floating currency exchange rate instead of the freely floating one. Based on the calculation of the currency exchange rate by comparing
Keyword: exchange rate, exchange market pressure, intervention