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STUDI VARIASI PERMUKAAN LAUT JAWA DAN LAUT CHINA SELATAN TAHUN 2002-2019 MENGGUNAKAN DATA ALTIMETRI JASON
No full textThe phenomenon of global warming can lead to thermal exposure and variations in water masses that require melting glaciers, polar ice sheets and changes in global sea level averages. This effect has an important impact on socio-economic, infrastructure and environment, which causes land changes of around 10% of the world's population. Since the end of the 18th century, changes in the position of open air from tidal stations along the coastline. However, observation of tide stations has limitations in number, distribution, and coverage, as well as variations in land subsidence. Therefore, this study analyzes sea surface variations in the Java Sea and the South China Sea during the period 2002-2019 using altimetry satellite reference mission data, namely Jason 1, Jason 2, and Jason 3. Sea level variations that need to be studied increase sea air by 4.1 mm/year, where high speeds occur around the North or South Java Sea which has a value of 7-9 mm / year. So based on these results pre-event planning can be carried out on the impact of the upcoming sea level rise
POLA MUSIM DI INDONESIA TAHUN 2002 SAMPAI 2016 BERDASARKAN EQUIVALENT WATER HEIGHT (EWH)
No full textSeason is the weather that is clearly visible at certain timescales. Based on its geographical location, the most striking seasonal variation in Indonesia is rainfall. Seasonal changes are also called weather changes that result from surface water interactions such as the water cycle. This shows that weather variations are related to changes in water mass on earth. Water availability can be seen from the Equivalent Water Height (EWH) variations obtained from gravity satellite data Gravity Recovery and Climate Experiment (GRACE) then the used of TRMM (Tropical Rainfall Measuring Mission) satellite data can be used to observe rainfall as well as supporting data for GRACE satellites. From the results of GRACE gravity satellite data processing, the largest EWH value was 27.298 cm in January 2015 and the smallest EWH value of -29.816 cm was in June 2004 on Sumatra Island. During the years 2002 to 2016 Changes in seasonal patterns occurred in 2010 and 2015, each of which was caused by extreme changes in rainfall and by the occurrence of El Nino events
Analisis Perbandingan Perhitungan Volume Bersih Galian dan Timbunan (Net Volume) dengan Metode Trapezoidal dan Borrow Pit pada Perangkat Lunak Autocad Civil 3D
No full textDalam dunia pertambangan batu bara dikenal istilah joint survey. Dalam joint survey yang digunakan parameter pembayaran oleh owner kepada kontraktor adalah volume bersih galian dan timbunan (net volume), oleh karena itu harus diukur dan dihitung dengan metode maupun perangkat lunak yang sesuai. Saat ini perangkat lunak sebagai penunjang kegiatan pertambangan semakin berkembang, berbagai perangkat lunak memiliki kekurangan dan kelebihan tersendiri. Pada penelitian kali ini akan melakukan perhitungan volume bersih galian dan timbunan (net volume) dengan data dari salah satu pit di area tambang PT Anugerah Bara Kaltim yang dipotong menjadi 3 bagian yaitu pit bagian A,B, dan C, perhitungan volume dilakukan dengan menggunakan metode Trapezoidal dan Borrow Pit pada perangkat lunak AutoCAD Civil 3D dimana dari hasil tiap metode akan dibandingkan terhadap nilai hitungan manual sebagai acuan dengan mengacu pada toleransi ASTM (American Society for Testing and Materials) pada tahun 2002 yaitu batas maksimal prosentase selisih hasil perhitungan volume yaitu sebesar 2,78%, selanjutnya akan dianalisa manakah metode yang tepat untuk digunakan dalam pekerjaan perhitungan volume tambang batubara. Pada proses perhitungan volume diberikan 2 perlakuan, yaitu dengan merubah interval section untuk metode trapezoidal dan merubah interval grid untuk metode borrow pit, dari hasil perhitungan volume didapatkan rata-rata nilai selisih volume yang beragam, yaitu pada metode borrow pit sebesar 1,911%, dan metode trapezoidal sebesar 0,427%. Pada perhitungan metode trapezoidal, semakin kecil interval section yang dibuat maka hasil perhitungan akan semakin mendekati volume acuan. Pada perhitungan metode borrow pit, semakin kecil interval grid yang dibuat maka hasil perhitungan akan semakin mendekati volume acuan.
In the world of coal mining, the term joint survey is known. In the joint survey, the parameter of payment by the owner to the contractor is used as net volume, therefore, it must be measured and calculated by the appropriate method. Currently, software that supports mining activities is growing. Various software have their own advantages and disadvantages. In this research, we will calculate the net volume with data from one of the pits in the mining area of PT Anugerah Bara Kaltim which is cut into 3 parts, namely pits A, B, and C, the volume calculation is done using the Trapezoidal and Borrow Pit methods on the device. AutoCAD Civil 3D software where the results of each method will be compared to the manual count value as a reference with reference to the tolerance of ASTM (American Society for Testing and Materials) in 2002, which is the maximum percentage difference in volume calculation results, which is 2.78%, then it will analyzed which method is appropriate to use in the work of calculating the volume of coal mines. In the volume calculation process, 2 treatments were given, namely by changing the section interval for the trapezoidal method and changing the grid interval for the borrow pit method, from the volume calculation results obtained the average value of various volume differences, namely the borrowpit method of 1.911%, and the trapezoidal method. by 0.427%. In the calculation of the trapezoidal method, the smaller the section interval made, the calculation results will be closer to the reference volume. In the calculation of the borrow pit method, the smaller the grid interval that is made, the calculation results will be closer to the reference volume
WEBSIG UNTUK EFISIENSI INVENTARIS PENDAPATAN DAERAH SEKTOR PAJAK BUMI DAN BANGUNAN (STUDI KASUS DESA BENER, KECAMATAN SARADAN, KABUPATEN MADIUN)
No full textLand and Building Tax (PBB) is one of the important local taxes for the region. PBB contribution to the amount of regional budget is quite high. Therefore, efficiency is needed in the management process. This needs to start from small publications such as the Village. By developing Geographic Information System (GIS) technology, of course it can be used to streamline the management of the PBB by using WebGIS technology. This study uses PBB data from the 2019 Bener Village Tax Assessment Book (DHKP) List, Maps of Madiun District from Office of National Land Agency (BPN), and Maps of Madiun District from the Bener Village Office. DHKP book data is processed into tables based on data on WebGIS. Land plot data in the field map is integrated into WebGIS spatial data. There are 1634 fields plots of land on WebGIS. From those 1634 fields, 1323 already have complete PBB information, 95 do not yet have NOP clarity, and 216 others have not been identified. The result show improvement of efficiency in the search for information on PBB object data. The object position data is obtained more easily, without using a large printed map which takes a lot of space. With this WebGIS, information on tourist attractions can be accessed anywhere and anytime through a computer or smartphone, as long as there is an internet connection so that it can facilitate the PBB management process
Analisis Kesesuaian Kawasan Terbangun Dengan Rencana Tata Ruang Wilayah Di Kawasan Sempadan Pantai Kabupaten Rembang
No full textKabupaten Rembang merupakan salah satu kawasan yang berada di pesisir pantai utara jawa dengan luas sebesar 101.408 ha yang secara geografis terletak pada 6o30’- 7o 6’LS dan 111o – 111o30’ BT dengan garis pantai sepanjang 63 km. Panjangnya garis pantai di Kabupaten Rembang memungkinkan banyaknya aktivitas di wilayah pesisir yang akan berdampak pada banyaknya penggunaan lahan yang tidak sesuai dengan ketentuan semestinya yang banyak mengakibatkan abrasi. Fenomena abrasi yang terjadi pada 30 agustus 2019 di Kecamatan Kragan Kabupaten Rembang yang mengikis pantai sejauh 15 m dengan panjang 1,5 km. Mengingat besarnya ancaman bencana abrasi yang melanda Kabupaten Rembang maka perlu adanya evaluasi penggunaan lahan pada wilayah pesisir terutama di kawasan sempadan pantai. Pada penelitian ini akan dilakukan analisis mengenai kesesuaian kawasan terbangun (Land Use) di area sempadan pantai dengan peta rencana tata ruang wilayah (Land Development). Selanjutnya akan ditampilkan dalam bentuk ArcGIS Online yang akan memudahkan dalam mengakses peta. Hasil dari penelitian yang dilakukan diperoleh empat kelas pada peta rencana tata ruang wilayah yaitu berupa peruntukan pemukiman, industri, sempadan pantai, dan hutan. Selanjutnya luas tertinggi kesesuaian rencana tata ruang wilayah (RTRW) dan kondisi eksisiting adalah untuk kelas industri sebesar 163,497 Ha, pemukiman sebesar 45,798 Ha, sedangkan untuk peruntukan sempadan pantai dan hutan tidak ada luasan yang sesuai dengan rencana tata ruang wilayahnya.
Rembang Regency is one of the areas that located on the north coast of Java Sea with an area of 101.408 Ha which is geographic located at 6o30’- 7o 6’S dan 111o – 111o30’ E and coastline 63 Km from Kaliori to Sarang. The magnitude of the coastline in Rembang Regency make amount of activity in the Coastal region which will have an impact on the amount of land use that is not in accordance with the plan, make abrasion happened. As on August 30, 2019, abrasion occurred in Kragan, Rembang Regency, which eroded the coast as far as 15 m with a length of 1.5 km. Given the magnitude of the emergency abrasion problem that is affecting Rembang Regency, it is necessary to evaluate land use expecially in coastal areas. In this study an analysis will be made of the suitability of the built area (Land Use) in the coastal border area with a regional spatial plan map. Furthermore, it will facilitate in the form of ArcGIS Online which will facilitate accessing maps. The results of the research carried out obtained four classes on the spatial map of the territory consisting of the allotment of settlements, industry, coastal borders, and forests. Furthermore, the area in accordance with the suitability of the spatial plan and the existing conditions for the industrial class is 163.497 Ha, settlement is 45.798 Ha, while for the designation of the coast and forest border there is an area in accordance with the spatial plan of the area
Analisis Perbandingan Nilai Koordinat Wall Station Sebagai Titik Kontrol Posisi Tambang Bawah Tanah dengan Pengamatan Poligon Tertutup dan Pengikatan Ke belakang (Studi Kasus: Tujuh Bukit Underground Project, PT. Bumi Suksesindo)
No full textProses penggalian pada area pertambangan menyebabkan perubahan topografi secara terus menerus. Oleh karena itu diperlukan pengukuran yang berkala untuk memastikan ketersedian data topografi. Dalam pengamatan posisi di bawah tanah, penentuan titik kontrol dan detil situasi adalah kunci dari kegiatan survei topografi. Penggunaan metode Wall Station memiliki kestabilan posisi yang cukup baik karena bertempat pada dinding Decline, dan pada metode ini alat ukur tidak dapat berdiri pada titik Wall Station dan harus menggunakan metode yang lain untuk perhitungan koordinat. PT. Bumi Suksesindo merupakan perusahaan pertambangan Penanaman Modal Dalam Negeri (PMDN) dengan konsesi utama di Tujuh Bukit Operation. Dalam pengelolaan minesite, PT. Bumi Suksesindo menggunakan metode Undeground Project. Dimana penentuan posisi dan pendapatan titik kontrol, dilakukan dengan metode Pengikatan Ke belakang, dengan menggunakan bantuan alat Total Station dan Wall Station. Kegiatan pengamatan titik kontrol ini dilakukan pada 6 titik Wall Station yang berada didalam tambang bawah tanah yaitu Wall Station DC1 18, 20 25, 42, 46, dan 48. Pengamatan ini akan dibandingkan dengan koordinat acuan yang telah dikoreksi oleh pihak PT. Bumi Suksesindo untuk menghasilkan nilai koreksi secara rutin. Pada penelitian ini menghasilkan nilai selisih dan RMSE pada masing masing titik Wall Station. Metode pengamatan pengukuran poligon tertutup dengan perhitungan Kuadrat Terkecil pada Poligon Box Cut menghasilkan nilai selisih koordinat dan RMSE pada Wall Station DC1-18 dengan nilai error 0,00031 m, DC1-20 dengan nilai error 0,00144 m, DC1-25 dengan nilai error 0,00113 m, DC1-42 dengan nilai error 0,00315 m, DC1-46 dengan nilai error 0,00320 m, DC1-48 dengan nilai error 0,00288 m.
The excavation process in the mining area causes continuous topographic changes. Therefore, periodic measurements are needed to ensure the availability of topographic data. In observing the position below the ground, determining the control point and the details of the situation is the key to the topographic survey activities. The use of the Wall Station method has a fairly good position stability because it is located on the Decline wall, and in this method the measuring instrument cannot stand on the Wall Station point and must use another method for calculating coordinates. PT. Bumi Suksesindo is a Domestic Investment (PMDN) mining company with the main concession in the Tujuh Bukit Operation. In managing minesite, PT. Bumi Suksesindo uses the Underground Project method. Where the determination of the position and income of control points, is carried out by Resection method, using the help of Total Station and Wall Station tools. This control point observation activity will be carried out at 6 Wall Station points inside the underground mine, namely DC1 18, 20 25, 42, 46, and 48 Wall Station. These observations will be compared with the reference coordinates corrected by PT. Bumi Suksesindo to produce corrected values routinely. This research produces the difference value and RMSE at each Wall Station point. The observation method using closed polygons with the calculation of least squares on the box cut polygons results in the difference between the coordinates and the RMSE. Wall Station DC1-18 resulted an error value of 0.00031 m, DC1-20 with an error value of 0.00144 m, DC1-25 with an error value of 0, 00113 m, DC1-42 with an error value of 0.00315 m, DC1-46 with an error value of 0.00320 m, DC1-48 with an error value of 0.00288 m
PENYEDIAAN DATA SPASIAL BANGUNAN DI SEKOLAH VOKASI UGM DALAM SEBUAH BASISDATA 3D
No full textSpatial data supply activities can be carried out with various data inputs and produce various products. One product that stores spatially structured data is spatial database. Spatial database can support storage of height components (3D) of an object, for example a building. The use of 3D spatial database can be very broad and for various fields of application, one of which is the preservation of cultural heritage. This study aims to provide spatial data in the form of a 3D database for building, especially those that have become cultural heritage, within the UGM Vocational School (SV) environment.
This activity uses 3D model data from one of the buildings at UGM, the Vocational School library building. Building 3D model is used as input for designing database modeling. The modeling in LOD 3 is then applied using CityGML, including its semantics. The result of the design is then entered into the software to create 3D database. The database analysis stage is performed with several SQL queries to test the research product in the form of the 3D database. Based on the result, 3D spatial data is stored properly using CityGML schema whereas some semantics cannot be accommodated
PEMETAAN POTENSI PENANGKAPAN IKAN MENGGUNAKAN METODE SINGLE IMAGE (STUDI KASUS: PERAIRAN SELATAN JAWA)
No full textFishing Potential (PPI) is needed to increase fisheries productivity. Traditionally, fishermen use their senses and hereditary habits to determine PPI. Traditionally, fishermen use the five senses and hereditary habits to determine PPI. This method, in addition to being less efficient, can also lead to over-exploitation if fishing is carried out in the same place continuously. The existence of remote sensing technology can be used to determine PPI faster while considering aspects of approval and spatial distribution. One method of determining PPI is based on remote sensing data, mapping the thermal front area first before determining the PPI through manual interpretation based on pixel located between warm and cold water. Manual interpretation has limitations, it depends on humans and takes a long time. To overcome these limitations, in this study, the Single Image Edge Detection (SIED) method developed by Cayulla and Cornillon was applied in the form of a toolbox thus it could be used automatically. Sea Surface Temperature (SPL) data obtained from MODIS Level 2 (6 April 2018) was subsequently processed using this toolbox and successfully developed 22 PPI points in the southern part of Java Island. Meanwhile, PPI detection using the Temperature Gradient Analysis (TGA) method which is done manually produces 28 points. There are 20 locations of the same point using these two methods. Using the SIED method based on the toolbox can improve data, reduce human error with accuracy 64%
Analisis Kerentanan Tanah Longsor Menggunakan Metode Frequency Ratio di Kabupaten Bandung Barat, Jawa Barat
No full textKabupaten Bandung Barat adalah salah satu kabupaten di Provinsi Jawa Barat dengan potensi gerakan tanah yang tinggi, sehingga sangat rentan terhadap kejadian tanah longsor. Hal ini dipicu oleh kondisi topografi yang beragam dan memungkinkan kejadian ini akan terus terjadi di masa depan. Salah satu metode yang sering digunakan dalam pemetaan kerentanan tanah longsor adalah frequency ratio. Metode ini bertujuan untuk mengidentifikasi wilayah rentan tanah longsor berdasarkan data kejadian longsor di masa lalu yang pada gilirannya dapat dijadikan parameter untuk mitigasi bencana longsor. Metode ini diaplikasikan menggunakan aplikasi GIS dengan data-data sekunder seperti DEM, peta tutupan lahan, data curah hujan, peta geologi, dan peta klasifikasi tanah. Data tersebut merepresentasikan faktor-faktor yang memengaruhi tanah longsor yaitu kemiringan lereng, elevasi, arah kemiringan lereng, tutupan lahan, curah hujan, jenis tanah, jarak sesar, dan batuan geologi. Faktor-faktor tersebut ditumpangtindihkan menjadi peta raster (20 m) dan menghasilkan nilai frequency ratio. Nilai tersebut diklasifikasikan menjadi 5 zona kerentanan longsor yaitu tidak rentan, sedikit rentan, cukup rentan, rentan, dan sangat rentan. Hasil penelitian ini menunjukkan terdapat 7 faktor pengkondisi tanah longsor yang memengaruhi kerentanan tanah longsor. Hasil uji akurasi ini menghasilkan peta kerentanan tanah longsor dengan nilai akurasi sebesar 79,7% sehingga dapat diterapkan dalam upaya mitigasi tanah longsor.
West Bandung regency is one of the districts in West Java Province with high potential for land movement, making it very vulnerable to landslide events. This is triggered by diverse topographic conditions and allows these events to continue to occur in the future. One of the methods often used in mapping landslide vulnerabilities is frequency ratio. This method aims to identify landslide-prone areas based on data on past landslide events that in turn can be used as parameters for landslide disaster mitigation. This method is applied using GIS application with secondary data such as DEM, land cover map, rainfall data, geological map, and land classification map. The data represents factors that affect landslides, namely slope, elevation, slope direction, land cover, rainfall, soil type, fault distance, and geological rocks. These factors are overlayed into raster maps (20 m) and produce frequency ratio values. These values are classified into 5 landslide vulnerability zones that are not vulnerable, slightly vulnerable, vulnerable enough, vulnerable, and highly vulnerable. The results of this study showed there are 7 factors of landslide conditioning that affect the vulnerability of landslides. This accuracy test resulted in a landslide vulnerability map with an accuracy value of 79.7% so that it could be applied in landslide mitigation efforts
Pemanfaatan GNSS pada Smartphone untuk Pembuatan Informasi Sebaran Covid-19 Berbasis Android (Studi Kasus: Kota Surabaya)
No full textCovid-19 merupakan penyakit pernapasan diperkirakan menyebar terutama di antara orang-orang yang berhubungan dekat satu sama lain dalam jarak kurang lebih dua meter. Tercatat pada tanggal 06 Juni 2020 di Surabaya terdapat 3906 kasus ODP, 3303 kasus PDP, 2918 kasus konfirmasi Covid-19. GNSS merupakan metode penentuan posisi menggunakan satelit, yang dapat digunakan banyak orang sekaligus, untuk mendapatkan posisi tiga dimensi. SIG merupakan ilmu pengetahuan yang berbasis pada perangkat lunak komputer, yang digunakan untuk memberikan informasi bentuk digital dan analisis terhadap permukaan geografi bumi. Dengan menggabungkan data spasial sebaran kasus Covid-19 di Kota Surabaya dan penentuan posisi pada GNSS smartphone, diharapkan dapat memberikan informasi terkait kondisi kesehatan masyarakat Kota Surabaya khususnya terkait Covid-19, dan juga mempermudah akses informasi karena berbasis aplikasi. Pembuatan aplikasi menggunakan flutter dan juga visual basic code. GNSS pada smartphone berfungsi untuk mengetahui nilai akurasi dengan aplikasi GPS Essentials dan untuk fitur-fitur pada aplikasi seperti penentuan lokasi pengguna, notifikasi sesuai lokasi pengguna, dan penentuan rute menuju suatu titik. Data yang digunakan adalah data sebaran Covid-19 pada 06 Juni 2020, data sebaran fasilitas kesehatan, dan fasilitas umum protokol kesehatan. Pada kelurahan dengan tingkat kasus Covid-19 tertinggi tidak selalu memiliki fasilitas umum protokol kesehatan yang sedikit tetapi yang banyak pun bisa menjadi kelurahan dengan tingkat kasus Covid-19 tertinggi, dan sebaran rumah sakit rujukan Covid-19 tidak ada yang berlokasi di kelurahan dengan tingkat kasus Covid-19 tertinggi. Berdasarkan hasil kuesioner, aplikasi yang dibuat mendapat tanggapan yang baik. Aplikasi yang dibuat dinamakan “Cegah Covid-19 Surabaya” saat ini mampu dijalankan di smartphone android pada versi Android 10, Pie, Oreo, Nougat, Marshmallow, dan Lollipop.Covid-19 is a respiratory disease that is thought to spread mainly between people who are in close contact with each other within a distance of approximately two meters. It was recorded that on June 6, 2020 in Surabaya there were 3906 ODP cases, 3303 PDP cases, 2918 cases of Covid-19 confirmation. GNSS is a method of positioning using satellites, which can be used by many people at once, to get a three-dimensional position. GIS is a science based on computer software, which is used to provide digital form information and analysis of the Earth's geographic surface. By combining the spatial data on the distribution of Covid-19 cases in the City of Surabaya and positioning on the GNSS smartphone, it is hoped that it can provide information regarding the health conditions of the people of Surabaya City, especially regarding Covid-19, and also facilitate access to information because it is application-based. Creating applications using flutter and visual basic code. GNSS on smartphones functions to find out the accuracy value with the GPS Essentials application and for features in the application such as determining the user's location, notifications according to the user's location, and determining the route to a point. The data used are data on the distribution of Covid-19 on June 6, 2020, data on the distribution of health facilities, and health protocols facilities. In sub-districts with the highest Covid-19 case rates, they do not always have a few public health protocol facilities, and none of the Covid-19 referral hospitals are located in the sub-districts with case rates Highest Covid-19. Based on the results of the questionnaire, the applications made received good responses. The application called “Cegah Covid-19 Surabaya” is currently able to run on Android smartphones on versions of Android 10, Pie, Oreo, Nougat, Marshmallow, and Lollipop