Judul: Julia as an Innovative Programming Language in Numerical Computing
Abstrak: Julia memadukan keahlian dari beragam bidang ilmu komputer dan ilmu komputasi untuk menciptakan pendekatan baru untuk komputasi numerik. Penelitian ini bertujuan untuk memperkenalkan Julia sebagai bahasa pemrograman yang dapat menyelesaikan permasalahan matematika khususnya dalam komputasi numerik kepada masyarakat. Komputasi pada Julia dirancang sedemekian rupa agar mudah dan cepat, serta mematahkan asumsi bahwa bahasa pemrograman dinamis (bahasa pemrograman tingkat tinggi) harus lambat. Sintaksi yang serupa antara Julia dengan beberapa bahasa pemrograman seperti Matlab dan Octave memudahkan pengguna untuk bertransisi. Vektorisasi pada Julia tidak menjadi prasyarat dalam hal kinerja. Multiple dispatch pada Julia memungkinkan pengguna untuk menulis fungsi beberapa kali dengan types yang berbeda. Julia didukung dengan paralelisme., Julia combines the expertise of from various field of computer science and computational science to create a new approach to numerical computing. The purpose of this research is to introduce Julia as a programming language that can solve mathematical problems, especially in numerical computing for community. Computing on Julia is designed in such a way as to be easy and fast, and break the assumption that dynamic programming languages (high-level programming languages) must be slow. Julia has similar syntax with several programming languages such as Matlab and Octave. In Julia, vectorization is not prerequisite in term of performance. In Julia, multiple dispatch allows users to write functions multiple times with different types. Julia support parallelism.
Keyword: Julia, multiple dispatch, numerical computing, parallelism, programming languange, vectorization

Judul: Algoritma paralel efisien untuk pemrograman dinamis
Abstrak: Pemrograman dinamis merupakan salah satu teknik optimasi yang digunakan untuk menyelesaikan masalah kombinatorial bertahap ganda (multistage), melibatkan banyak perhitungan dalam penyelesaian masalahnya dengan menggunakan komputer serial. Untuk itu, sejumlah penelitian telah dilakukan guna peningkatan kecepatan waktu eksekusi dalam menyelesaikan masalah tersebut pada komputer paralel, seperti kerangka pemikiran yang diusulkan oleh Antonio, Tsai dan Huang (1991), yaitu memparalelkan pemrograman dinamis untuk menyelesaikan masalah- masalah multistage. Hanya saja pendekatan pemrograman dinamis yang diusulkan tersebut dibatasi untuk beberapa masalah saja. Untuk banyak masalah menarik lainnya, misalkan masalah urutan penggandaan matriks (The Matrix Chain Multiplication Problem) dan masalah pengoptimalan triangulasi poligon (Optimal Polygon Triangulation Problem), pendekatan Antonio, Tsai dan Huang tidak bisa digunakan. D. Tang dan G. Gupta (1995) mencoba mengatasi masalah tersebut dengan memperkenalkan suatu teknik dalam memparalelkan pemrograman dinamis melalui perancangan algoritma paralel untuk menyelesaikan masalah urutan penggandaan matriks. Proses paralelisasi dalam merancang algoritma paralel didasarkan pada algoritma sekuensial yang memiliki waktu kompleksitas (n³). Jumlah processor yang digunakan adalah (n(n+1))/2, termasuk dalam kelas (n²). Dalam proses paralelisasi yang terjadi, dapat dibuktikan bahwa algoritma paralel yang dirancang untuk dicobakan pada komputer paralel PRAM memiliki kompleksitas (n) dan merupakan algoritma paralel yang efisien.
Keyword: 

Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
Keyword: