Septa Erik Prabawa, Ary Iswahyudi, Dwa Desa Warnana
{"title":"PENDUGAAN POTENSI AIR TANAH DI DAERAH SUMBA TIMUR DENGAN MENGGUNAKAN DATA CITRA SATELIT DAN GEOLISTRIK","authors":"Septa Erik Prabawa, Ary Iswahyudi, Dwa Desa Warnana","doi":"10.14710/elipsoida.2020.9203","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9203","url":null,"abstract":"Telah dilakukan kajian pendugaan potensi air tanah di daerah Sumba Timur dengan menggunakan data citra satelit SRTM dan geolistrik tahanan jenis. Citra SRTM digunakan untuk analisa morfologi bentang alam sedangkan pengukuran geolistrik bertujuan untuk mendapatkan gambaran litologi bawah permukaan tanah untuk mendapatkan potensi air tanah. Survei sebaran mata air dilakukan untuk menguatkan analisis data. Data SRTM menunjukkan morfologi bentang alam berupa dataran batugamping berundak mulai dari pantai di sisi Timur kearah Barat. Mata air ditemukan berada di kaki dataran berundak yang merupakan perpotongan topografi. Pengolahan data geolistrik menunjukkan bahwa susunan batuan bawah permukaan tanah daerah kajian terdiri dari batugamping terumbu yang merupakan anggota Formasi Kaliangga sebagai lapisan berpori pembawa air dan batupasir tufan anggota Formasi Kananggar sebagai lapisan kedap penahan air. Morfologi berupa perundakan batugamping di sebagian besar area kajian menjadikan keterdapatan mata air berada di kaki undak atau perpotongan topografi. Hal ini menguatkan dugaan bahwa air permukaan meresap kebawah menembus pori batugamping terumbu kemudian tertahan oleh batupasir tufan dan keluar sebagai mata air di perpotongan topografi. Hal ini konsisten dengan hasil pengukuran geolistrik yang menunjukkan dominasi batugamping terumbu di area kajian dan minimnya curah hujan menjadikan daerah kajian menjadi daerah kering.","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122449766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. M. Sabri, B. Sudarsono, J. Jamal, Sonny Mawardi
{"title":"GENERATING BOUGUER ANOMALY MAP FROM AIRBORNE GRAVITY DATA (A CASE STUDY IN SOUTH EAST SULAWESI)","authors":"L. M. Sabri, B. Sudarsono, J. Jamal, Sonny Mawardi","doi":"10.14710/elipsoida.2020.9213","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9213","url":null,"abstract":"Terrestrial measurements can provide accurate gravity data, but it is costly and time-consuming for large and remote area. Airborne gravity measurements have actually been carried out in Indonesia since 2008 by Technical University of Denmark (DTU) in collaboration with the Geospatial Information Agency (BIG). Purpose of the project was to develop a geoid model used for converting elevations from GPS/GNSS measurements that refers to ellipsoid to orthometric elevations that refer to sea level. The data can actually be explored so that it can be used for geophysical and other geoscience purposes, but the data must be carefully treated and extracted into observational gravity data. This study aims to improve the accuracy of gravity airborne data to produce an accurate complete Bouguer anomaly map. The data used in this study were airborne gravity data over Province of Southeast Sulawesi collected on September 29, 2008 to October 1, 2008. Variation in flight height at the time of consecutive data introduced new horizontal acceleration vector. It must be treated as a noise in the measurement of gravity data. The first stage of processing was to eliminate noise due to aircraft acceleration. Gravity data measured in aircraft conditions accelerating more than 5 m.s-2 were eliminated. In this stage, the gravity data were reduced from 64481 observation points to 4900 observation points. The second stage of processing was low pass filtering to eliminate the remaining surges in gravity data. Airborne gravity data that have been snooped and filtered were then applied to calculate the complete Bouguer anomaly. Visually, a complete Bouguer anomaly map through the enhancement process produced a finer map compared to maps from airborne gravity data without enhancement. Comparison of airborne Bouguer anomaly map and terrestrial Bouguer anomaly maps of Kendari sheet showed a correlation of more than 83%. The conclusion of this study was that the enhancement of the airborne data significantly increases the accuracy and reliability of the airborne gravity data for generating a complete bouguer anomaly map. The results of this study also indicated that the airborne archive data has the potential to be used for geophysical and geosciences purposes in Southeast Sulawesi and Indonesia.","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bambang Sunardi, Supriyanto Rohadi, S. Sulastri, Rahmat Setyo Yuliatmoko
{"title":"INKONSISTENSI TEC GIM DARI DATA GNSS SEBAGAI PREKURSOR GEMPABUMI DI WILAYAH MALUKU UTARA TAHUN 2019","authors":"Bambang Sunardi, Supriyanto Rohadi, S. Sulastri, Rahmat Setyo Yuliatmoko","doi":"10.14710/elipsoida.2020.9182","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9182","url":null,"abstract":"Currently, the GNSS has grown rapidly and is widely applied for commercial and research purposes, one of which is an earthquake precursor. Precursor detection of major earthquakes using TEC in the ionosphere has recently become a promising method. This paper focuses on investigating TEC inconsistencies before major earthquakes in the North Maluku region during 2019. Earthquake data refers to the U.S. Geological Survey, while the TEC data comes from GIM which comes from international GNSS. TEC anomaly was observed by applying the TEC correlation method near the epicenter of the earthquake to obtain the TEC inconsistency index. The TEC anomaly classification is decided when the inconsistency index is outside a defined threshold. The Dst index in the same time frame is used to analyze TEC inconsistencies due to geomagnetic storms. The results of research on the January 7, 2019 Mw 6.6 earthquake, the July, 7 2019 Mw 6.9 earthquake, the July 14, 2019 Mw 7.2 earthquake, and the November 14, 2019 Mw7.1 earthquake showed TEC inconsistency 29 to 1 day before the mainshock. Referring to these results, investigations of TEC inconsistencies prior to the major earthquake can be continuously developed until they reach the expected success rate","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124079436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PENGUKURAN LUAS METODE TERESTRIS MENGGUNAKAN ALAT UKUR GPS DAN METODE FOTOGRAMETRI MENGGUNAKAN FOTO UDARA UAV DI KOLAM RETENSI MUKTIHARJO KIDUL SEMARANG","authors":"Bambang Sudarsono, L. Sabri, Tjiong Susilo Dinoto","doi":"10.14710/elipsoida.2020.9312","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9312","url":null,"abstract":"Semarang merupakan ibukota Provinsi Jawa Tengah yang perkembangan kotanya sangat pesat. Selain itu Semarang juga merupakan pusat perdagangan dan bisnis, pusat pendidikan dan lain-lain. Di sisi lain karena kepadatan penduduknya tinggi, maka timbul berbagai masalah antara lain terdapat kawasan kumuh, kawasan terdampak genangan banjir air pasang (rob) dan lain-lain. Kemudian untuk menanggulangi banjir Pemerintah Pusat dan Pemerintah Daerah secara bersama-sama melakukan berbagai pembangunan prasarana fisik antara lain membangun Kolam Retensi yang terletak di wilayah Muktiharjo Kidul. Tujuan pembangunan Kolam Retensi adalah untuk menampung air ketika terjadi hujan besar di sekitar Muktiharjo Kidul, sehingga diharapkan dapat mengurangi banjir di sekitar wilayah kolam retensi. Pembangunan Kolam Retensi Muktiharjo Kidul sangat penting, oleh karena itu perlu dilakukan penelitian luas area yang akan digunakan untuk menghitung kemampuan daya tampung volume kolam retensi. Pengukuran luas dilakukan dengan metode terestris menggunakan alat ukur GPS dan metode fotogrametri menggunakan foto udara UAV. Data hasil perhitungan luas Kolam Retensi dapat digunakan untuk keperluan evaluasi terhadap pembangunan Kolam Retensi Muktiharjo Kidul. Dari hasil pengukuran menggunakan alat ukur GPS metode RTK luas Kolam Retensi sebesar 53.198 m2 , sedangkan dari hasil pengukuran dengan menggunakan data foto udara UAV diperoleh luas sebesar 53.196 m2. Berdasarkan hasil pengukuran tersebut, maka pengukuran luas menggunakan foto udara UAV hasilnya cukup bagus dan mendekati pengukuran dengan alat ukur GPS","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125513157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ANALISIS LUAS PENGELOLAAN WILAYAH LAUT JAWA TENGAH PADA BEBERAPA SISTEM PROYEKSI DAN SISTEM KOORDINAT","authors":"M. Awaluddin, Fauzi Janu Ammarohman, Arief Laila Nugraha, Bandi Sasmito, Khofifatul Azizah","doi":"10.14710/elipsoida.2020.9201","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9201","url":null,"abstract":"Permendagri No. 141 tahun 2017 menyebutkan bahwa Peta Batas Daerah termasuk Peta Batas Pengelolaan Wilayah Laut menggunakan sistem proyeksi Transverse Mercator dan sistem koordinat UTM. Sistem proyeksi ini bersifat konform yang mempertahankan bentuk (sudut) tetapi tidak mempertahankan luas dan jarak. Penelitian ini menghitung perbedaan luas pada beberapa sistem proyeksi dan sistem koordinat di batas pengelolaan wilayah laut Provinsi Jawa Tengah. Sistem proyeksi dan sistem koordinat yang digunakan adalah: Proyeksi Lambert Silinder Equal Area, Proyeksi UTM Zona 49 Selatan, Proyeksi Transverse Mercator dan Proyeksi Mercator dengan dua sistem koordinat yang berbeda. Selisih luas dihitung terhadap luas hasil proyeksi Lambert Silinder Equal Area yang mempertahankan luas pada sistem proyeksinya. Luas daerah pengelolaan wilayah laut Provinsi Jawa Tengah pada proyeksi UTM dan Transverse Mercator mempunyai persentasi selisih luas yang kecil jika dibandingkan dengan luas proyeksi Lambert Silinder Equal Area. Besarnya persentase selisih luas tidak signifikan sehingga penarikan batas pengelolaan wilayah laut Provinsi Jawa Tengah dapat dilakukan pada sistem proyeksi konform UTM. Perbedaan persentasi luas yang besar pada proyeksi Mercator dibandingkan dengan proyeksi UTM dan Transverse Mercator disebabkan letak daerah yang berjarak paling jauh pada garis yang mempunyai distorsi nol.Permendagri No. 141 of 2017 states that the regional boundary map including the maritime area management boundary map uses the Transverse Mercator projection system and the UTM coordinate system. This projection system is conform projection which maintains shape (angle) but does not maintain area and distance. This study calculates the area differences in several projection systems and coordinate in the management boundaries of the sea territory of The Central Java Province. The projection system and coordinate system used are: Equal Area Cylindrical Lambert Projection, UTM Projection zone 49 south, Transverse Mercator Projection and Mercator Projection with two different coordinate systems. The difference in area is calculated against the projected area of the Lambert Cylindrical Equal Area which maintains the area of the projection system. The area of the sea management area of Central Java Province in the UTM and Transverse Mercator projections has a small percentage difference in area when compared to the projected area of the Lambert Cylindrical Equal Area. The magnitude of the percentage difference in area is not significant so that the drawing of boundaries for the management of the sea area of Central Java Province can be carried out on the UTM conforming projection system. The bigger percentage of area difference of the Mercator projection compared to the UTM and Transverse Mercator projections is due to the location of the area that is the farthest away from the line which has zero distortion.","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131944537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"KAJIAN PERUBAHAN POLA KAWASAN TERBANGUN BERDASARKAN METODE INDEX-BASED BUILT-UP INDEX (IBI) DI JAKARTA UTARA","authors":"Yudo Prasetyo, Nurhadi Bashit, Bandi Sasmito","doi":"10.14710/elipsoida.2020.9198","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9198","url":null,"abstract":"Kota Jakarta Utara merupakan bagian dari propinsi DKI Jakarta memiliki permasalahan berkaitan dengan penurunan muka tanah. Permasalahan tersebut disebabkan oleh banyaknya pembangunan yang berakibat semakin padatnya jumlah bangunan menjadi beban terhadap daya dukung tanah pada lingkungan di Jakarta yang mana sebagian besar wilayahnya adalah alluvial. Dikutip dari BPS Kota Jakarta Utara realisasi perizinan IMB mencatatkan dari tahun 2016 hingga 2018 berjumlah 5.862 bangunan, jumlah tersebut hanya bangunan non tempat tinggal. Kemudian, untuk mengetahui perubahan kawasan terbangun digunakan citra Sentinel 2 dari tahun 2016 hingga 2019 melalui proses klasifikasi bangunan dengan algoritma Index-based Built-up Index (IBI). Algoritma IBI merupakan kombinasi dari 3 algoritma yaitu, Normalized Difference Built-up Index (NDBI), Soil Adjusted Vegetation Index (SAVI) dan Modified Normalized Difference Water Index (MNDWI). Kemudian, hasil dari metode IBI perubahan lahan terbangun dengan total seluas 228 hektar/tahun, sementara perubahan kelurahan terluas di Marunda seluas 57 hektar/tahun dan terkecil di Kelurahan Pekoja seluas 0,01 hektar/tahun, korelasi keduanya menunjukkan berkorelasi kuat 32%, 44% berkorelasi lemah dan 24 % diantara keduanya tidak berkorelasi. Pemanfaatan penelitian ini dapat digunakan sebagai pertimbangan dalam rencana pembangunan di Kota Jakarta Utara juga sebagai mitigasi penurunan muka tanah.","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127717428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ANALISIS PERUBAHAN KERAPATAN TANAMAN MANGROVE TERHADAP PERUBAHAN GARIS PANTAI DI KABUPATEN PATI DENGAN METODE PENGINDERAAN JAUH DAN APLIKASI DIGITAL SHORELINE ANALYSIS SYSTEM (DSAS) TAHUN 2017-2020","authors":"Thia Prahesti, Nurhadi Bashit, Yasser Wahyuddin","doi":"10.14710/elipsoida.2020.9156","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9156","url":null,"abstract":"Pati Regency has a coastline of 60 km with a characteristic muddy beach. The coastal community in Pati Regency is very dependent on coastal and marine products, so it needs to be preserved. A decrease in coastal environment quality can be indicated by looking at the mangrove of quality plants. The Government of Pati Regency carries out regular mangrove planting to improve the quality of life in the coastal environment, but there is no supervision. This study uses remote sensing technology and GIS to determine the relationship between changes in mangrove plant density and changes in coastlines in Pati Regency from 2017 to 2020. This study uses remote sensing methods using the NDWI water index transformation method to determine the shoreline from Sentinel-2-year image. 2017-2020, MSL reduction using DEMNAS and MSL, then processed with a Geographical Information System using DSAS to obtain the results of shoreline changes (NSM) as well as guided classifications for land cover and vegetation indexes NDVI and GNDVI which are used to map mangrove vegetation density on the coast of the Pati Regency. The results showed that the average change in the coastline in Pati Regency has increased by 22,260 m. Changes in the area of mangroves on the coast of Pati Regency have increased by 86.634 hectares. The results also showed that the relationship between changes in mangrove density and shoreline changes on the coast of Pati Regency used simple linear regression with the coefficient of determination (R2) of 0,089 and the correlation coefficient (R) of 0,299. These results indicate a correlation enough. The calculation of the F test to determine changes in mangrove density with changes in shoreline has a significant effect, so that if the value of mangrove density is higher, changes in shoreline will tend to increase (accretion).","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116996564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualisasi 3D Rencana Detail Tata Ruang Kota Yogyakarta dengan Cesium","authors":"Esti Nur Wijayanti, Heri Sutanta","doi":"10.14710/elipsoida.2020.9212","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9212","url":null,"abstract":"Visualisasi Rencana Detail Tata Ruang (RDTR) digunakan untuk mempermudah dalam memahami ketentuan pemanfaatan ruang yang dapat diterapkan oleh masyarakat pada bidang tanah yang dimiliki. Penggabungan dari peta pola ruang 2D dengan informasi peraturan zonasi menjadi satu yaitu peta RDTR 3D. Ketinggian maksimal bangunan pada peraturan zonasi digunakan sebagai ketinggian atau koordinat Z. Saat ini, terdapat banyak perangkat lunak yang memberikan layanan dalam visualisasi data 3D yang dapat diakses secara online, salah satunya yang dapat digunakan secara gratis atau opensource adalah cesium. Penelitian ini bertujuan untuk membuat visualisasi 3D RDTR Kota Yogyakarta dengan cesium dan membandingkan dua metode visualisasi dalam cesium. Pada cesium terdapat cesium stories dan cesium demo dalam membagikan hasil visualisasi agar dapat diakses pengguna secara online. Cesium stories lebih mudah digunakan oleh pembuat peta dibanding cesium demo. Cesium demo lebih fleksibel dalam menampilkan peta.","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132766751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fauzi Janu Amarrohman, T. Putri, Bambang Sudarsono, M. Awaluddin, S. Subiyanto
{"title":"ANALISIS KUALITAS HASIL PREDIKSI KLASIFIKASI PENGGUNAAN LAHAN MENGGUNAKAN CA MARKOV MODEL BERDASARKAN PETA RENCANA TATA RUANG","authors":"Fauzi Janu Amarrohman, T. Putri, Bambang Sudarsono, M. Awaluddin, S. Subiyanto","doi":"10.14710/elipsoida.2020.9200","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9200","url":null,"abstract":"Land use changes due to community activities and mobility occur because of the increasingly complex need for land. Spatial analysis is needed to identify land use changes which are subsequently reviewed by the Regional Spatial Plan in accordance with Government Regulation Number 8 of 2013 concerning the accuracy of the RTRW map. In this study, the study area taken was Pati Regency around the South Ring Road which includes four districts. From the acquisition of high resolution satellite imagery data in 2009, 2015 and 2019, predictions were made for the years 2023 and 2030 to determine the development of the area around the South Ring Road. The results of the prediction of land use using CA Markov in 2023 will be compared with the prediction in 2030 to determine the quality of the prediction results of the classification of land use in the prediction year with the same input data interval and exceeding the input data interval by conducting a suitability analysis with the RTRW. In 2023, the category of conformity is 95.41341%, and in 2030 amounting to 95.41340%. This shows that the prediction results of land use change with CA Markov for the same year with the time interval of the input data have insignificant differences with the predicted results with longer intervals when compared to the current RTRW.","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130175345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ANALISIS PERUBAHAN GARIS PANTAI AKIBAT KENAIKAN MUKA AIR LAUT PANTAI KABUPATEN DEMAK","authors":"Bandi Sasmito","doi":"10.14710/elipsoida.2020.9204","DOIUrl":"https://doi.org/10.14710/elipsoida.2020.9204","url":null,"abstract":"Studi ini mengarah pada penelitian perubahan garis pantai tahun ke tahun di pantai Kabupaten Demak dengan keterkaitanya terhadap kenaikan muka air laut. Kenaikan muka laut dapat menyebabkan berkurangnya wilayah daratan seperti perubahan garis pantai. Perubahan garis pantai perlu dipantau agar dapat mengetahui besar perubahan sehingga dapat mengantisipasi dampak yang disebabkan perubahan garis pantai. Data yang digunakan penelitian ini adalah dari satelit altimetri untuk meneliti kenaikan muka air laut dan satelit Landsat multi temporal untuk meneliti erubahan garis pantai. Hasil pengolahan data diperoleh adalah terjadi adanya perubahan garis pantai di Kabupaten Demak berupa Abrasi di satu wilayah dan Akresi di wilayah lain, dan rata-rata kenaikan muka laut terjadi di Laut Jawa tetapi bukan sebagai penyebab utama dari terjadinya perubahan garis pantai.Kata kunci: Garis pantai, , Kenaikan Muka Air Laut, Altimetri, Penginderaan Jauh ","PeriodicalId":190139,"journal":{"name":"Elipsoida : Jurnal Geodesi dan Geomatika","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116965703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}