117 research outputs found
PENGAMATAN GPS UNTUK MONITORING DEFORMASI BENDUNGAN JATIBARANG MENGGUNAKAN SOFTWARE GAMIT 10.5
No full textABSTRAK
PENGAMATAN GPS UNTUK MONITORING DEFORMASI BENDUNGAN JATIBARANG MENGGUNAKAN
SOFTWARE GAMIT 10.5
Ali Amirrudin Ahmad 1), Bambang Darmo Yuwono, ST., MT.2), M. Awaluddin, ST., MT.3)
1) Mahasiswa Teknik Geodesi Universitas Diponegoro
2) Dosen Pembimbing I Teknik Geodesi Universitas Diponegoro
3) Dosen Pembimbing II Teknik Geodesi Universitas Diponegoro
[email protected]
Penelitian ini adalah tentang pengamatan GPS untuk monitoring deformasi bendungan Jatibarang menggunakan software GAMIT 10.5. Batasan masalah dari penelitian ini adalah bendungan Jatibarang yang berlokasi di kecamatan Gunung Pati, Kota Semarang, Jawa Tengah. Metode penelitian yang digunakan adalah menggunakan GPS dual frequency pada enam titik pantau yang terletak di bendung utama. Pengolahan data pengamatan menggunakan Scientific Software GAMIT 10.5. Penelitian dilakukan selama tiga periode: Maret, April dan Mei 2014. Tujuan dari penilitian antara lain mengetahui kondisi deformasi yang terjadi di Bendungan Jatibarang, mengetahui cara monitoring deformasi bendungan secara teliti menggunakan alat ukur GPS dual frequency dan mengetahui ketelitian pengolahan data GPS yang menggunakan Scientific Software GAMIT 10.5 pada monitoring deformasi. Tinjaun pustaka yang digunakan dalam penelitian ini antara lian bendungan, deformasi, GPS, metode monitoring deformasi bendungan, prinsip monitoring deformasi bendungan dengan GPS, TEQC (Translation, Editing and Quality Check) dan GAMIT/GLOBK. Pelaksanaan yang dilakukan meliputi pengumpulan data dengan pengamatan survei GPS dan pengolahan data dengan metode post-processing. Setelah melalui pengolahan GAMIT dan GLOBK maka didapatkan nilai perubahan koordinat dengan rata-rata nilai perubahan koordinat pada sumbu X = 0,879 mm, sumbu Y = 0,614 mm dan sumbu Z = 1,114 mm Sehingga kesimpulan akhir dari penelitian ini adalah bendungan Jatibarang mengalami perubahan koordinat secara numeris. Namun saat diuji statistik dengan selang kepercayaan 95%, dinyatakan bahwa keenam titik monitoring bendungan tidak mengalami pergeseran koordinat secara signifikan. Jadi bendungan Jatibarang tidak mengalami deformasi.
Kata kunci: bendungan, deformasi, GPS, GAMI
PENAJAMAN DAN SEGMENTASI CITRA PADA PENGOLAHAN CITRA DIGITAL
No full textImage processing takes an image to produce a modified image for better viewing or some other purposes Imageanalysis takes an image into something other than an image such as number of object types, size of an object,etc.The main purpose of Enhancing Image is to produce image in order to have a suitable image forApplication requirement. Image segmentation is divided into a several segment considering area of the object.We need the Enhancement technique and segmentation to have a good image. In this case , it was trying toprocess image with a several stage , stretching, lowpass filter, laplace filter, edgesenh filter and clustering inSPOT image in aceh coverage area
Traffic Accident Spatial Modeling Using Adaptive Kernel Density Estimation Method Based on Geographical Information Systems For Road Sections In Brebes District, Brebes Regency
No full textBased on information from the Satlantas Polres Bebes, in 2022 the number of accidents in the Brebes Regency area reached 1.088 incidents that cause fatality damage and material losses. Data shows that in the last three years, Brebes District has recorded as the district with the highest accident statistics in this region. These incidents have a tendency to occur in certain sections. This research using a Geographic Information System (GIS) based approach using the Adaptive Kernel Density Estimation method to analyze the density of accidents on the road sections. The road network is divided into segments of 1000 meters and sub-segments iterated every 20 meters to obtain more accurate results. Vulnerability maps are classified based on the weighting of accident frequency, blackspot maps are classified based on Equivalent Accident Number (EAN) calculation. The results of the accuracy test comparison show that the Adaptive Kernel Density Estimation method can produce a vulnerability maps model with suitability level accuracy of 71,13%. In blackspot modeling, the CPAI calculation results show that the Adaptive Kernel Density Estimation method can produce a CPAI index of 71,73%
ANALISA PENYEBAB PENURUNAN KINERJA KOMPRESOR TERHADAP MESIN PENDINGIN DI MV.ENERGY PROSPERITY
No full textMuhammad Awaluddin Khoir, 50134913.T, 2018, "Analysis of the cause of the compressor performance degradation of cooling machine in MV.Energy Prosperity by using SWOT method", Diploma IV Program, Teknika, Merchant Marine Polytechnic, Advisors: Dwi Prasetro, MM, M.Mar.E, MM, M.Mar .E and Advisor II: Dodik Widarbowo, MT, M.Mar. Sailing will be able to reach its destination safely and safely if the food is well supplied, foodstuffs are the main ingredients to be aware of its existence. To maintain the quality and quantity of food on board, one of them can use the food cooling system. Refrigerator is a machine that serves to cool and preserve food. The purpose of this study is to be able to find out what influences the compressor's performance degradation of the cooling machine in MV.Energy Prosperity by using SWOT method which results in factors that may affect the compressor's performance degradation when the compressor operates and stops too often, decreases compression pressure and also the suction pressure is too low. In this study, the authors used a descriptive qualitative method using subapplication of the authors to limit factors that may affect the decrease of compressor performance to the cooling machine. After the authors make observations of the factors above can the author convey as follows. The effect of decreasing compressor performance on cooling machine is decreasing compression pressure on the compressor due to broken piston rings and worn cylinder liner wall can cause compression pressure to decrease. So that required the maintenance of a routine and well-planned degan good proes pressure perfect compression. And hopefully this thesis is useful for the compression system on the compressor in case of damage.
Keywords: Compressor, SWOT, cooling machine
Estimation of Slip Distribution of the 2007 Bengkulu Earthquake from GPS Observation Using Least Squares Inversion Method
No full textContinuous Global Positioning System (GPS) observations showed significant crustal displacements as a result of the Bengkulu earthquake occurring on September 12, 2007. A maximum horizontal displacement of 2.11 m was observed at PRKB station, while the vertical component at BSAT station was uplifted with a maximum of 0.73 m, and the vertical component at LAIS station was subsided by -0.97 m. The method of adding more constraint on the inversion for the Bengkulu earthquake slip distribution from GPS observations can help solve a least squares inversion with an under-determined condition. Checkerboard tests were performed to help conduct the weighting for constraining the inversion. The inversion calculation of the Bengkulu earthquake slip distribution yielded in an optimum value of slip distribution by giving a weight of smoothing constraint of 0.001 and a weight of slip value constraint = 0 at the edge of the earthquake rupture area. A maximum coseismic slip of the optimal inversion calculation was 5.12 m at the lower area of PRKB and BSAT stations. The seismic moment calculated from the optimal slip distribution was 7.14 x 1021 Nm, which is equivalent to a magnitude of 8.5
Identification of Traffic Accidents Vulnerability Level Using Kernel Density And K-Medoids Methods (Case Study: Depok and Kalasan Districts, Sleman Regency)
No full textOne of the analytical tools that can be used to help, parse, identify and map traffic accident problems in an area is a Geographic Information System (GIS). GIS is used to create clusters of traffic accident events. The level of accident vulnerability in this paper is obtained by calculating the density of the number of incident points where the accident occurred, namely Depok and Kalasan Districts, Sleman Regency on a road segment length of 1,000 m per year. The clustering methods used are kernel density and k-medoids methods. Comparison of the identification of traffic accident-prone levels in Depok and Kalasan sub-districts using the Kernel Density and K-Medoids methods with a road length of 1,000 meters using the Kernel Density and K-Medoids methods in 2018 there is the same difference, namely 6.17% with the medium level classification and low level classification. For 2019 it is 0.01% with a high level classification, 1.85% for the medium level and 1.86% for the low level. For 2020 there is the same difference, namely 1.23% with medium and low level classifications. For 2021 there is no difference for high level classification but there is the same difference for medium and low level classification which is 3.7%
Implementation of CORS GNSS and Local Geoid for precise Orthometric Height Determination in Land Subsidence region (a case study in Semarang City)
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