Jurnal Meteorologi Klimatologi dan Geofisika https://jurnal.stmkg.ac.id/index.php/jmkg <p><strong>Jurnal Meteorologi Klimatologi dan Geofisika (Jurnal MKG)</strong> merupakan jurnal ilmiah sebagai sarana komunikasi untuk melaporkan hasil penelitian bidang ilmu meteorologi, klimatologi, kualitas udara, geofisika, lingkungan, kebencanaan, dan instrumentasi yang terkait. Jurnal ilmiah ini diterbitkan setiap tiga bulan sekali dalam setahun.</p> <p>This journal does not charge APCs or submission charges.</p> en-US <p>Authors who publish with this journal agree to the following terms:</p> <ol type="a"> <li class="show" style="text-align: justify;">Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a&nbsp;<a title="creativecommons.org" href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener">Creative Commons Attribution License</a>&nbsp;that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</li> <li class="show" style="text-align: justify;">Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li> <li class="show" style="text-align: justify;">Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.</li> </ol> jurnal.mkg@stmkg.ac.id (Dr. Deni Septiadi) jurnal.mkg@stmkg.ac.id (IT STMKG) Mon, 29 Apr 2019 12:01:18 +0000 OJS http://blogs.law.harvard.edu/tech/rss 60 APLIKASI PENGINDERAAN JAUH DAN SIG DENGAN METODE ANALYTICAL HIERARCHY PROCESS UNTUK KAJIAN KERAWANAN BANJIR DI DAS JALI COKROYASAN PURWOREJO https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/70 <p>Hydrometeorological disaster is a disaster that is affected by meteorological parameters covering weather aspects such as rainfall, wind, temperature, and humidity. One of the hydrometeorological disasters occurring in Indonesia is flooding. In the last 8 years, there have been floods in the Jali Cokroyasan watershed that flooded some Purworejo regency. This research was conducted to determine the level of flood suseptibilty in Jali Cokroyasan watershed. The use of remote sensing technology and Geographic Information System (GIS) was applied to mapping the level of flood suseptibilty in Jali Cokroyasan watershed. Parameters used include rainfall, land use, slope, and landform. Rainfall data obtained from the Department of Agriculture Husbandry Marine and Fisheries Purworejo District. Land use data were obtained from Landsat 8 OLI image then processed based on unsupervised multispectral classification. The slope slope data is extracted from DEM ALOS PALSAR with 10 m resolution. Landform data is generated from visual interpretations of&nbsp; DEM ALOS PALSAR and Landsat 8 OLI image. All parameters are processed by spatial analysis based on the Analytical Hierarchy Process (AHP) skoring method and Spatial Multi Criteria Evaluation (SMCE) overlay method. Model testing is conducted with the method of in depth interview. The results of the analysis is the map of flood suseptibility in Jali Cokroyasan watershed. Based on the map, downstream watershed approaching watershed outlets become areas prone to flood disaster because downstream downstream has a sloping topography. Zoning of vulnerability on the map is expected to be considered in tackling flood risks, increasing community capacity, and minimizing disaster losses.</p> Bayu Aji Sidiq Pramono, Karunia Pasya Kusumawardani, Emy Puspita Yuendini ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/70 Mon, 29 Apr 2019 12:06:54 +0000 PENGEMBANGAN METODE ANALISIS BEBAN KERJA WAKTU DALAM INTERPOLASI MENGGUNAKAN PENDEKATAN NON LINIER https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/71 <p>Computational time for spatial interpolation is important to manage meteorological information effectively and efficiently. Therefore, this study aims to analyze the workload of computational time and gets the formulation for computational time based on three parameters: important numbers, resolutions, and the number of initial data points. Data used in this study is generated randomly by the 'runif' function in software R. The random data has 0, 3, and 6 decimal numbers. The number of points used is 10, 50, 100, 200, 500, 1000, 1500, 2000, 3000, 5000 and 8000 with the output resolution varies as follows: 0.5, 0.25, 0.05, 0.01 and 0.005. Consequently, the data are processed using different type of hardwares and softwares, and executed for Inverse Distance Weighted (IDW) interpolation. The computational time can be calculated by the point number (n) and resolution (r) values. The result shows that the time length (T) can be approximated by the equation: . Where the constants C1, C2, C3 and C4 differ according to software and hardware specifications. Using this approach, the computational time for spatial interpolation is expected to be studied better.</p> Imron Ade Rangga, Ni Luh Cynthia Chevi Rahayu, Andang Kurniawan, Desak Putu Okta Veanti ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/71 Mon, 29 Apr 2019 12:54:16 +0000 ANALISIS CUACA EKSTREM TERKAIT BENCANA HIDROMETEOROLOGI DI JAYAPURA (STUDI KASUS HUJAN LEBAT TANGGAL 22 FEBRUARI 2014) https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/72 <p>Rain with intensity 240.0 mm which occurred on February 22, 2014 in Jayapura, causing floods and landslides in several districts. Weather analysis is required to determine various meteorological factors and to improve preparedness and for reduce the impact of damage and losses due to hydro-meteorological disasters. Data of Sea surface temperatures, sea surface temperature anomaly, southern oscillation index and wind map are visual interpreted. MTSAT Satellite data is processed using SATAID application to generate images and time series graphics of cloud top temperature and cloud top height. Zonal and meridional wind component and relative humidity data are processed using 1.9.0 Grads program to generate vorticity, wind patterns and humidity of each layer of air. Upper air observation data processed using Raob 5.7 application to get the indices of the air stability. The analysis result suggest that clouds development in the Jayapura area caused by Intertropical Convergence Zone, warm sea surface temperatures, high humidity in the air layer and unstable of air thus affects heavy rains&nbsp; in Jayapura. Satellite imagery analysis can suggest the value and patterns that can be used as an indication of clouds development caused heavy rains.</p> Pande Made Rony Kurniawan ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/72 Mon, 29 Apr 2019 12:58:34 +0000 DAMPAK SIKLON TROPIS FRANCES TERHADAP UPWELLING LAUT TIMOR DAN SEKITARNYA https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/73 <p>The impacts of tropical cyclone are rainfall, strong wind, and flood. On the other hand, tropical cyclone becomes one of the factors that trigger the vertical mixing and upwelling that lead to increased fertility. Research on the impact of tropical cyclones on chlorophyll-a concentrations in Indonesian is still limited. This study aims to determine the effect of tropical cyclones on upwelling in the waters of the Timor Sea and its surroundings. Data used is daily composite of chlorophyll-a concentration, sea surface temperature, monthly of chlorophyll-a concentration, sea surface temperature, wind velocity and direction period May 2002 - May 2016. The method used in this study is the analysis of spatial and temporal&nbsp; of chlorophyll-a concentration, sea surface anomaly, sea surface temperature, wind velocity and direction. A daily composite analysis of the concentration of chlorophyll-a shows that the area traversed by Frances tropical cyclones have increased fertility but with different responses to the observation area. The value of chlorophyll-a concentration before cyclone occurred between &lt;0.2 mg / m<sup>3</sup> - 1.0 mg / m<sup>3</sup> and increased of 0.4 mg / m<sup>3</sup> - 5.0 mg / m<sup>3</sup>. While anomalous result of sea level rise shows that at the time of the occurrence of tropical cyclones there is a positive anomaly ranging from 0.4 to 0.7 meters in the region around the center of tropical cyclone. This is caused by a decrease in pressure that causes the movement of the rising water mass to the surface (upwelling). Sea surface temperature showed a decrease with the highest decline 2.0<sup>o</sup>C within 1 - 4 days post tropical cyclone Frances.</p> Adelina Lumban Gaol, Ejha Larasati Siadari, Muhammad Ryan, Aries Kristianto ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/73 Mon, 29 Apr 2019 13:03:09 +0000 PEMODELAN MIKE21 DALAM KEJADIAN BANJIR ROB MENJELANG GERHANA BULAN DI PESISIR SEMARANG https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/74 <p>Coastal Semarang is vulnerable area affected by the flood disaster. Almost every month the area is inundated by tides. The most publicly remembered tidal flood event is the time leading up to the lunar eclipse on January 31, 2018. Early warning tidal flood information needs to be made with a high degree of accuracy and in a form that people can easily understand for mitigation purposes. Tidal type on Semarang Coastal needs to be identified to know the trend of tidal flood events. The Mike 21 Hydrodynamics Model is used to process tidal observation data throughout 2017 into tidal forecast information throughout January 2018. The accuracy value of Mike 21's tidal forecast is measured by Root Mean Square Error (RMSE), as compared with the accuracy of tidal forecasts from Pushidrosal (Hydrography and Oceanography Center, Indonesian Navy) and BIG (Geospatial Information Agency). The best tidal forecast results are then processed in the ArcGIS application, taking the highest tidal forecast values ​​on the day of the event as input data for the creation a map of tidal flood inundation area. The peak of tidal flood incident tends to occur at 06.00 WIB and 17.00 WIB, which based on the identification in Coastal Semarang includes double daily tidal type. Mike 21's tidal forecasts have the best RMSE values. The RMSE for Mike 21, Pushidrosal and BIG forecasts are 10 cm, 30 cm and 22 cm, respectively. The both of Mike21 model and observation result highest tidal value are at 20.00 WIB. The Mike21 model's highest tidal value of 122 cm resulted in a map of the tidal flood inundation area of 1753.35 ha, while the observation result’s highest tidal value of 133 cm resulted in 185.31 ha wider.</p> Ratna Cintya Dewi, Oky Sukma Hakim, Ejha Larasati Siadari ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/74 Mon, 29 Apr 2019 13:07:23 +0000 KAJIAN PERUBAHAN IKLIM DITINJAU DARI PENGARUH TINGKAT GDP PER KAPITA TERHADAP EMISI CO2 DI ASIA TENGGARA TAHUN 1980 – 2014 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/75 <p>Climate change as one of the global issues that also became one of the agenda of Sustainable Development Goals (SDGs). It is an important issue because it has a significant impact on various aspects of life, such as changing season patterns, increasing the vulnerability of natural disasters, etc. It is influenced by various factors, such as increases CO<sub>2</sub> emissions. Previous studies said that CO<sub>2</sub> emission relate with economic growth. GDP per capita can be used for economic growth measuring. This study aims to analyze the relationship between GDP per capita and CO<sub>2</sub> emissions in ASEAN countries from 1980 to 2014. The methods used in this research are spatiotemporal visualization and statistical analysis. GDP per capita and CO<sub>2</sub> emission data are visualized spatiotemporally using maps and graphs. Used scatter plots and regression analysis to determine the effect of per capita GDP on CO<sub>2</sub> emissions. Spearman's correlation statistical correlation test is used to determine correlation power to GDP per capita and CO<sub>2</sub> emissions. The results showed a strong influence with the R<sub>2</sub> is 0.5319 between GDP per capita to CO<sub>2</sub> emissions. Correlation test show a strong correlation and positive value of 0.729. It can be concluded that on the influence and strong correlation between GDP per capita and CO<sub>2</sub> emissions.</p> Wahyu Nurbandi, Indinna Sofia Astuti ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/75 Mon, 29 Apr 2019 13:10:59 +0000 PRIORITAS ARAH PENEMPATAN TITIK PENGAMATAN KECEPATAN VERTIKAL DI KALIMANTAN MENGGUNAKAN ANALISIS ANISOTROPI https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/76 <p>The existence of the forest as lungs of the world played an important role in generating oxygen gas. Borneo island is one of the world's lungs because of the extensive forests that reached 40.8 million hectares. However, at present the quality and quantity of forest on the island of Borneo precipitously due to deforestation and forest fires. Forest fires on the island of Borneo into the world spotlight because of the spread of the smoke caused air pollution in various regions of Indonesia. The impact of the spread of smoke of forest fires was influenced by the vertical wind speed in the area. This research aims to add a consideration in determining the vertical wind speed observation point on the island of Borneo, making known the priority distribution of the placement of the observation point can be used as mitigation efforts the spread of the forest fire smoke. The vertical wind speed data island of Borneo in June and October starting in 2008 – 2017 is presented in the form of spatial. The wind data analysis using the method of variogram surface with the software SAGA. Based on the analysis of anisotropy, obtained the results that the vertical wind speed observations on Borneo Island tend to have priority East-West direction in June to August, the priority of the Southeast-Northwest in September, and priority direction of Northeast-Southwest in October. Analysis and modeling of vertical wind speed on the island of Borneo in general get the dominant patterns of the East-West direction priority, so the priority placement of vertical velocity observations point on the island of Borneo is effective if it forms oval pattern which extends from North to South.</p> Muhammad Gilang Ramadhan, Ayuna Santika Putri, Andang Kurniawan, Amir Mustofa Irawan ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/76 Mon, 29 Apr 2019 13:15:25 +0000 MODEL KECEPATAN 1-D GELOMBANG P DAN GELOMBANG S DARI DATA HASIL RELOKASI HIPOSENTER DI WILAYAH GUNUNG SINABUNG https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/77 <p>Mount Sinabung is an active volcano after no activity (dormant) for more than 400 years. Mount Sinabung to this day performs volcanic activity. It makes people around the Mount Sinabung’s slopes are worried. This research purposed to relocate hypocenter to get model of speed of 1-D wave P and S wave at Mount Sinabung which can be used as reference data of subsurface condition. This study uses the input data magnitude, hypocenter parameters, and the arrival time of P wave and S wave. This data is obtained from BMKG EQ (Earthquakes) Repository. The occurrence of earthquakes used in the time span from 1 January 2017 to 28 February 2017 and at coordinates of 3,0931 °N-3,3543 °N and 98.2928 °E-98.6202 °E. In this processing also uses the parameter location of the station (sensor). The data is relocated using VELEST 3.3 software with IASP91's global speed model as the initial speed model. The result of the relocation is the correction of the station position (sensor), the final hypocenter parameters, the seismic wave timing, and the 1-D wave model P and S waves. The results obtained for the 1-D wave velocity model P at a depth of 0 km is 5.58 km/s and for a depth of 210 km, the deepest layer in this data processing, amounted to 8.30 km/s.</p> Abraham Arimuko, Yoga Dharma Persada, Hendri Subakti ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://jurnal.stmkg.ac.id/index.php/jmkg/article/view/77 Mon, 29 Apr 2019 13:19:23 +0000