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ANALISIS DAN PERANCANGAN APLIKASI CASE BASED REASONING UNTUK MENENTUKAN TUJUAN WISATA Esthi Kurnia Dewi; Suyoto Suyoto; Kusworo Anindito
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2012): Intelligent System dan Application
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Yogyakarta adalah tujuan wisata kedua setelah Bali dan merupakan surga wisata di pulau Jawa. Setiap tahunnya wisatawan yang berkunjung di Yogyakarta meningkat 7%-15%. Khususnya dimasa libur panjang ada banyak wisatawan yang berkunjung. Informasi tentang tujuan wisata dapat diperoleh melalui browsur atau katalog wisata, dari internet maupun cerita teman. Namun informasi saja tidaklah cukup jika tidak diramu dengan cepat untuk mendapat alternatif terbaik dalam menentukan tujuan wisata. Atas dasar kebutuhan tersebut maka dibuatlah perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta berbasis mobile web. Case Based Reasoning akan membantu menentukan tujuan wisata berdasarkan pengalaman sebelumnya atau kasus yang lama. Hasil penelitian ini berupa perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta. Perancangan arsitektur dan desain disesuaikan dengan hasil kuisioner, sekitar 92% peserta kuisioner menggunakan smartphone atau handphone tipe high end.
COMPARING ATMOSPHERIC CORRECTION METHODS FOR LANDSAT OLI DATA Esthi Kurnia Dewi; Bambang Trisakti
International Journal of Remote Sensing and Earth Sciences Vol. 13 No. 2 (2016)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2016.v13.a2472

Abstract

Landsat data used for monitoring activities to land cover because it has spatial resolution and high temporal. To monitor land cover changes in an area, atmospheric correction is needed to be performed in order to obtain data with precise digital value picturing current condition. This study compared atmospheric correction methods namely Quick Atmospheric Correction (QUAC), Dark Object Subtraction (DOS) and Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH). The correction results then were compared to Surface Reflectance (SR) imagery data obtained from the United States Geological Survey (USGS) satelite. The three atmospheric correction methods were applied to Landsat OLI data path/row126/62 for 3 particular dates. Then, sample on vegetation, soil and bodies of water (waterbody) were retrieved from the image. Atmospheric correction results were visually observed and compared with SR sample on the absolute value, object spectral patterns, as well as location and time consistency. Visual observation indicates that there was a contrast change on images that had been corrected by using FLAASH method compared to SR, which mean that the atmospheric correction method was quite effective. Analysis on the object spectral pattern, soil, vegetation and waterbody of images corrected by using FLAASH method showed that it was not good enough eventhough the reflectant value differed greatly to SR image. This might be caused by certain variables of aerosol and atmospheric models used in Indonesia. QUAC and DOS made more appropriate spectral pattern of vegetation and water body than spectral library. In terms of average value and deviation difference, spectral patterns of soil corrected by using DOS was more compatible than QUAC.
PENENTUAN BATAS TEPI DANAU PAPARAN BANJIR SECARA HITUNG PERATAAN KUADRAT TERKECIL DENGAN MULTIDATA PENGINDRAAN JAUH Atriyon Julzarika; Esthi Kurnia Dewi; Luki Subehi
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 26 No. 2 (2019)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2019.13367

Abstract

Nowadays, technology and remote sensing data have developed significantly. These developments started with conventional data to become dynamic data. Technology and remote sensing data can be used for various applications such as mapping of inland water. Inland water resources that include lakes, rivers, and swamps are one of the national priorities, especially in lake mapping. One of the problems with floodplain lakes is that it is difficult to determine the fixed boundaries of the lake surface area. This study aims to obtain a forensic geological boundary mapping of a lake using the least-square adjustment approach in a floodplain lake with multi-data remote sensing. The floodplain lake in this study was Mahakam Cascade Lake in East Kalimantan Province. The fixed boundary of the surface area of the lake was determined using the least-square adjustment approach. One method in the adjustment was the harmonic modeling algorithm. This mapping used multi-data remote sensing in the form of Synthetic Aperture Radar (SAR) and optical imagery. The imagery used was Sentinel-1 which was acquired from 2014 to 2018 and Landsat from 2014 to 2018. This algorithm showed that the fixed boundaries of Mahakam Cascade Lake can be determined with certain tolerances. These fixed boundaries ignored lake tide parameters because the maximum tide value in the lake was only +5 cm. This value was ignored because the vertical accuracy of the topographic data in the big data engine was about 2 m. The fixed delineation of lake edges can be used to determine the lake volume and surface area. The surface area of the lake obtained from the Sentinel-1 imageries was ~ 399,017 km2. Based on Landsat imageries, the surface area of the lake was ~ 399,495 km2. The difference was due to the mixing of sediments and thin turbidity at the edge of the lake. This condition caused differences in reflectance values when acquisitioning the two types of imageries. Basically, this method could be applied for determining the edge of a lake.