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"This research was aimed at first, studying and comparing between the accuracies of the geometrically and non-geometrically corrected digital Landsat data; and second, evaluating these classification accuracies to ascertain the possibility of using them as an input into the process of building up a geographical information system. The method used was digital land use classification by applying the data’s maximum likelihood algorithm in the two approaches. The first approach involved classification prior to geometric correction (reference) and the second classification after geometric correction (transformed result). Analysis was then carried out through the overlay technique between the frst and the second results. It is found that an error matrix depicting individual and overall accuracies and omissions and commission of errors. Result shows that the overall accuracy of land use classification after the correction is >80%. However, this overall accuracy varied according to the technique applied. But the choice of which technique to be used depends on the average increase and decrease in area. As such, the use of the nearest neighbor interpolation, bilinear interpolation and cubic convultion techniques resulted into an areal increase of 19.54%, 24.80%, and 24.93% and a reduction of 17.17%, 24.60%, and 27.87% respectively."

"Spekel adalah suatu kesalahan granular yang selalu ada pada semua jenis sistem pencitraan yang koheren. Keberadaan spsekel dalam citra mengurangi resolusi, klasifikasi dan susah diinterpretasi. Banyak teknik mereduksi spekel yang telah digunakan untuk menghilangkan efek dari fenomena itu. Dalam penelitian ini dicoba sebuah algoritma pengurangan spekel yang efektif, menggunakan transformasi wavelet.Menurut Kun Abyoto d.k.k. (1998) algoritma ini lebih baik dibandingkan dengan algoritma-algoritma yang telah ada dalam mengurangi spekel citra radar SAR. Tolok ukur kualitas reduksi dinyatakan dengan angka perbandingan deviasi standar dan rata-rata citra (DPR). DPR citra menggunakan transformasi wavelet lebih rendah dibandingkan dengan metoda reduksi spekel lama (filter Median dan Lee) yang ditunjukkan dengan penurunan DPR citra tanpa mengurangi detail secara berarti. Hasil yang diperoleh pada citra SAR JERS-1 dan citra SAR ERS-1 berbeda. Grafik antara DPR versus level multiresolusi yang diperoleh dari citra SAR JERS-1 turun kemudian naik lagi setelah j=2, sedangkan grafik yang soma dari citra ERS-1 turun sampai j=G sedikit di atas j=5 dan kemudian turun lagi, Kesimpulan dari penelitian ini adalah bahwa semakin tinggi tingkat multiresolusinya semakin kecil spekel yang ada. Disamping itu diperkirakan citra asli SAR JERS-1 mempunyai spekel lebih sedikit dari pada ERS-1.

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Speckle is a granular error that always available in every coherent imaging system. The existence of speckles can reduce the image resolution, difficult for doing correct classification and interpretation. There are many ways in the reducing speckles that have been used for eliminating the speckle effects. In this research I would like to try a speckle reducing algorithm, by using wavelet transformation.According to Kun Abyoto et. al. (1998) the algorithm is better then the existing algorithm in reducing SAR image speckles, that can be seen by the standard deviation relative (DPR) and the average are lower then the conventional one (Median and Lee filters). For the ERS-1 and JERS-l SAR images are quit different. The graph between DPR versus multi resolution from MRS-1 decreases but after j=2, the curve increases. The graph of ERS-1 DPR versus multi resolution go down except j=d. The conclusion of the experiment is that the more multi resolution level the smaller speckle found, and the JERS-l has a smaller amount of speckle then ERS-1."

"The title of the thesis is "Land Use Change Analysis of Rice Field in Kabupaten Karawang in the Years of 1989 and 1997 Using Landsat TM Image". Rapid growth of population and various human activities are main causes of land use change of rice field in Kabupaten Karawang. Geographically, Kabupaten Karawang is located in West Java Province, mostly in flat area; having fertile soil comprises of volcanic alluvium, i.e., sand, ash and clay. The area is popular as one of the national rice producing areas. The observation of this thesis was conducted for analyzing land use changes of the years of 1989 and 1997. Within those time periods with the help of Landsat images the changes of land use on rice fields into developed areas are observe able, reducing the area of the total rice fields. The unit analysis is kecamatan. To estimate the changes, this thesis uses a land use changes models, i.e., L = f(Economy, Population, and Policy), where L indicates land use change from rice field into developed area. L is considered as a dependent variable, representing human dimension. The independent variables are economy, population, and policy. These variables were tested with multiple linier regression analysis. The economic variable comprises of PDRB (Regional Gross Domestics Product) of industry, PDRB of cash crops, and PBB (Property Tax). Population variable consists of total population of the of 0 to 74 years old, total farm labors of 10 to 64 years old, and total non farm labor of 10 to 64 years old. Policy variable involves the region of developed area, the number of SD (elementary school), SMP (junior school), and Puskesmas. The analysis of Landsat 5 TM images shows that the highest changes are in Kecamatan Cilamaya and Telukjambe. The less changes are in Kecamatan Pangkalan and Lemahabang. Statistical analysis was applied to get better understanding of the changes of rice fields into developed areas. An equation was used to observe the growth of changes of rice fields into developed area, and the pattern of land change of rice fields into develop area in the year of 1997 to 1989. From the results of statistical analysis it can be concluded that the pattern of land use change of rice fields into developed area in the year of 1997 to 1989 has a significant correlation with the dependent variables. The equation can be used as a model to analyze the changes of the area of rice fields into developed area."

"Nowadays flood is a serius prolem in Jakarta, and this is caused by the uncontrolled urbanisation and bad watershed management in the upper stream. During the 207 floodingm Kampung Melayu, Jatinegara district, Esat Jakarta is one of areas that suffered from big losses...."

"Bencana merupakan hal yang mengancam nyawa manusia dan seringkali memakan korban. Ketika terjadi bencana, SAR dengan sigap mencari, menolong korban, dan memetakan lingkungan dengan cepat. Namun pada waktu-waktu tersebut merupakan saat yang berbahaya untuk mencari korban dan rawan bertambahnya korban. Quadcopter diaplikasikan untuk membantu mencari korban bencana. Pada Quadcopter disematkan sebuah kamera untuk mencari korban. Selama proses pencarian kamera akan mengambil gambar dan mendeteksi korban. Deteksi objek SSD dengan beberapa modifikasi digunakan untuk mendeteksi korban yaitu objek manusia. SSD modifikasi memiliki kemampuan waktu deteksi sebesar 214.37 ms dan tingkat presisi 99.7%. Selanjutnya, quadcopter akan mendekati objek yang terdeteksi. Pengendalian quadcopter untuk mendekati objek menggunakan Proportional Integral Derivative. Selama proses sistem merekam sensor IMU dan GPS pada quadcopter untuk mendapatkan lintasan quadcopter.

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Disaster is jeopardize for human being and oftentimes cost a risk of human life. After a disaster happened, SAR would be deployed to search victim, help them, and mapping disaster’s area quickly. However, after a disaster happened is a dangerous time to find the victim and prone to more risk of human life. Quadcopter used to help find the victim. The quadcopter is attached a camera to detect the victim. During the finding process, camera will capture an image detect of victim. SSD object detection is used to detect human object with a modification to yield more detection accuracy. Modified SSD have detection time performance 214.37 ms and precision 99.7%. Then quadcopter approach to the detected object. The quadcopter approaching process to object by Proportional-Integral-Derivative (PID). During this process, IMU Sensor and GPS of quadcopter are recorded to be processed and gathered the quadcopter trajectory."

"Satelit CARTOSAT-1 yang didedikasikan terhadap pandangan stereo untuk pemetaan skala luas dan aplikasi-aplikasi pemodelan lahan, telah diluncurkan dengan roket IndiaPSLV-C6 (Polar Satellite Launch Vehicle-C6), pada tanggal 5 Mei 2005 dari lokasi peluncuran di Sriharikota, India. Tulisan ini menguraikan karakteristik teknis satelit CARTOSAT-1 dan sensor yaitu: dua buah kamera Pankromatik, karakteristik data citra CARTOSAT-1, produk data CARTOSAT-1, aplikasi data CARTOSAT-1, serta analisis pemanfaatan data CARTOSAT-1 untuk berbagai bidang aplikasi. Metode pelaksanaan kajian adalah dengan mempelajari literatur/informasi/data yang diperoleh dari operator satelit, media internet, hasil-hasil penelitian yang berkembang dewasa ini, dan melakukan analisis."

"ABSTRAKVariabilitas iklim di Cekungan bandung memberikan dampak terhadap curah hujan sehingga mendorong perubahan karakteristik banjir yang terjadi khususnya pada wilayah rentan terhadap banjir. Salah satu langkah untuk meminimalkan kerugian akibat banjir adalah dengan mengetahui pola keterpaparan banjir di wilayah yang rentan banjir. Indikator yang digunakan untuk menilai tingkat keterpaparan yaitu, frekuensi kejadian banjir, kedalaman banjir dan durasi banjir. Penilaian keterpaparan dilakukan di Cekungan Bandung pada wilayah yang rentan terhadap banjir tahun 2014 hingga tahun 2016. Pola keterpaparan banjir di wilayah rentan banjir yang terbentuk tidak selalu mengikuti arah aliran sungai. Wilayah yang rentan terhadap banjir memiliki wilayah keterpaparan tinggi yang paling luas terjadi pada tahun 2016. Pada beberapa daerah dengan nilai kerentanan sedang juga memiliki nilai keterpaparan yang tinggi. Curah hujan pemicu kejadian banjir di Cekungan Bandung terutama berasal dari 3 hari berturut-turut sebelum kejadian banjir

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ABSTRAKClimatic variability in the Bandung basin has an impact on rainfall, thereby influence changes in flood characteristics occurring particularly in vunerable areas. One of the steps to minimize losses due to floods is to know the pattern of flood exposure in flood vulnerable areas. The indicators used to assess the level of exposure are, the frequency of flood events, the depth of the flood and the duration of the flood. The assessment of exposure is carried out in the Bandung Basin in vulnerable areas to floods from 2014 to 2016. Flood exposure patterns in flood vulnerable areas are not always in the direction of river flows. Flood vulnerable areas have high exposure region the most widely occur in 2016. In some areas with moderate vulnerability values also have high exposure values. Rainfall causes flood events in the Basin of Bandung mainly comes from 3 consecutive days before the flood."