Judul: Study on the Impact of Monsoon and EL-Nino Southern Oscillation (ENSO) on the Rainfall in Aceh
Abstrak: Iklim dan cuaca di Indonesia dibentuk oleh berbagai fenomena, baik fenomena yang berasal dari luar maupun dari dalam wilayah Indonesia. Beberapa fenomena yang mempengaruhi wilayah Indonesia tersebut ialah monsun dan El-Nino (McBride, 1992). Daerah Istimewa Aceh yang terletak di ujung Indonesia bagian utara dan barat tidak terlepas dari pengaruh monsun dan El-Nino. Namun pengaruh monsun dan El-Nino terhadap curah hujan di Aceh belum banyak diketahui, sehingga diperlukan penelitian untuk melihat pengaruh tersebut. Penelitian ini bertujuan untuk mengetahui pengaruh monsun dan El-Nino terhadap curah hujan di Aceh. Metode yang digunakan dalam penelitian ini ialah rata-rata, simpangan, koefisien korelasi, koefisien keragaman, dan uji F, yang ditampilkan dalam bentuk grafik maupun tabel, untuk menerangkan pengaruh monsun dan El-Nino tersebut. Hasil penelitian ini menunjukkan bahwa Aceh merupakan wilayah yang memiliki dua puncak hujan, yaitu pada bulan April dan Oktober. Hal tersebut dipengaruhi letak wilayah Aceh yang berada di dekat ekuator. Monsun juga mempengaruhi curah hujan di Aceh. Pengaruh monsun ini lebih besar di Aceh bagian utara, yaitu di Stasiun Blang Bintang dan Sabang Meteo. Berdasarkan data curah hujan di kedua stasiun tersebut, pada saat Monsun Timur Laut, curah hujan di Aceh melebihi rata-rata curah hujan bulanannya, sedangkan ketika terjadi Monsun Barat Daya, curah hujan di Aceh dibawah rata- rata curah hujan bulanannya. El-Nino kurang mempengaruhi curah hujan di Aceh. Pengaruh El-Nino tersebut terlihat pada bulan Juli-Agustus (Monsun Barat Daya) dan bulan Desember-Februari (Monsun Timur Laut).
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Judul: Analisis Variabilitas Curah Hujan Indonesia pada Kejadian ENSO
Abstrak: Indonesia is one of the countries which experiences El Niño and Southern Oscillation (ENSO) impact on rainfall variability. The purpose of this study included to investigate the Indonesian climate variations related to ENSO events and to understand the effect of ENSO on rainfall temporal distributions at Indramayu (6.35°LS, 108.32°BT) and Tabing (0.88°LS, 100.35°BT). Composite analysis method was used to reveal the trend of sea surface temperature anomaly, wind at 850 hPa, OLR and TRMM 3B43 rainfall data, whereas temporal and correlation analysis was used to observe rainfall and nino-3.4 index. When El Niño sea surface temperature anomaly (ASPL) maximum in October-December, 850 hPa wind backwards from west to east along with increased speed and deviation of OLR below the average values in central and eastern equatorial Pacific which indicates the accumulation of rain cloud. La Niña occurrence is indicated by the deviations of sea surface temperature below average. Low pressure center in Asia reached 850 hPa winds and strengthened Walker circulation, the movement of the air mass brought moisture to Indonesia. Based on the composite of TRMM rainfall, it appeared that the El Niño events gave more significant impact at the end of the year (October to December) on East Indonesia, Java and parts of Sumatra and Kalimantan, while La Niña (December to February) in south and eastern part of Indonesia. Monsoonal pattern (Indramayu) showed ENSO impacts more strongly than equatorial (Tabing). The shift of dry season and low rainfall were affected by ASPL fluctuations on nino-3.4 region.
Keyword: TRMM, SPL, Rainfall, OLR, ENSO

Judul: Construction of Strongly Optimal Binary Linear Code with Minimum Distance 9 and 11
Abstrak: A binary linear code of length n over q F is a subspace of n q F . A code has three parameters that attached to it, namely length, dimension, and minimum distance. A code with length n, dimension k and minimum distance d is often called [n, k, d ]-code. Usually, when two parameters are given, then we want to find a code that has the best value for the last parameter. Based on Gilbert- Varshamov bound, if a [n, k, d ]-code exists and can not be expanded, we call it a strongly optimal code. In this paper, we construct strongly optimal code with minimum distance 9 and 11. In constructing the code, we created a theorem and algorithm based on Gilbert-Varshamov bound before we implement the algorithm to MAPLE programming language. Because of computational limitations, the program can only construct up to k = 10 for d = 9 and k = 12 for d = 11.
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