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Abstrak :
Pengunjung website dapat berinteraksi dengan web server melalui serangkaian permintaan yang disediakan oleh website. Semua aktifitas pengunjung web server akan tercatat di dalam web log. Web log dan webalizer pada webserver www.pnj.ac.id merupakan sumber data yang dipergunakan untuk proses analisis pola akses pengunjung website. Makalah ini membahas tentang perancangan program penyaringan data menggunakan bahasa pemrograman berbasis web (PHP) dan analisis data weblog. Hasil perancangan program antara lain : User access pattern pada tiap halaman website sebagian besar dilakukan dengan cara direct request yaitu sebesar 305.379 hit (69,81%), Browser yang banyak dipergunakan adalah browser Mozilla, dan Behaviour user pattern berdasarkan waktu akses, halaman favorit dan kapasitas file (Kbytes) terjadi pada jam 10.00, 14.00 dan 19.00. Hasil ini dipergunakan oleh administrator website untuk perbaikan kinerja website.

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Visitors can interact with the web server through a series of requests provided by the website. All of the visitors' activities will be listed on a web server in the web log. Web logs and Webalizer on www.pnj.ac.id webserver is a source of data used for the analysis of website visitor access patterns. This thesis discusses the planning of screening programs using data program web-based language (PHP) and data analysis of weblogs.The results of the program design include: User access patterns on each page of the website are mostly done by way of direct request is equal to 305.379 hits (69.81%), it used for many Mozilla browsers, and Behavior patterns based on time of access, favorite pages and capacity of the file (Kbytes) occured 10:00 hours, 14:00 and 19:00. These results are Used by the administrators of the website for improved performance.

Abstrak :
Fractal analyses methods (rescale-range analyses, RIS and Power Spectrum analyses) were applied to verify wireline logs correlation through the fluvial to marine Sihapas Group (Lower-Middle Miocene) in the Central Sumantra Basin. This study was a test the applicability of a fractal analysis of well log data (gamma-ray, density, porosity and sonic logs) specially for well log correlation purposes. These analyses reveal that the fractal dimension of gamma-ray logs is the best log for well log correlation purposes with correlation coefficient 0.713, and the porosity logs shows 0.702. However, the density and sonic logs have correlation coefficient 0.533 and 0.542 respectively. The fractal dimensions for each stratigraphic unit suggests being different. In these cases, the fractal analyses will be more use as a tool for environmental determination than for correlation. Analyses of the procedures adopted suggest, however, that the fractal geometry concepts in wireline log analyses should be treated with caution. Changes in the calculation procedures can cause larger variation in the estimate of the fractal dimension. The study was also suggested that the Rescale range analyses is more stable than the Power Spectrum method. These difficulties should be considered for the correlation purposes. The validity and suitability of fractal geometry in the well log analyses need to be considered carefully. The application of fractal geometry in the well log correlation should be considered as an experiment of fractal geometry in the geological sciences. Much work should be done before the fractal geometry can be applied safely to particular geological analysis.