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All Journal Forum Geografi JFMR (Journal of Fisheries and Marine Research) Jambura Geoscience Review Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Seftiawan Samsu Rijal
Fakultas Perikanan Dan Ilmu Kelautan, Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Engineering Environmental Science

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Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China Hamim Zaky Hadibasyir; Seftiawan Samsu Rijal; Dewi Ratna Sari
Forum Geografi Vol 34, No 1 (2020): July 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v34i1.10862

Abstract

Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.
IDENTIFIKASI MATERIAL PIROKLASTIK PASCA ERUPSI GUNUNG KELUD MENGGUNAKAN CITRA HYPERSPEKTRAL Seftiawan Samsu Rijal
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 17 No. 1 Juni 2020
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.887 KB) | DOI: 10.30536/j.pjpdcd.2020.v17.a3299

Abstract

Gunung Kelud merupakan gunungapi yang mengalami erupsi pada tanggal 13 Februari 2014 setelah 7 tahun sebelumnya berada dalam kondisi dorman. Kolom letusan yang dihasilkan cukup besar dan meninggalkan endapan material piroklastik pada tubuh gunungapi. Hal ini harus dipantau untuk mencegah terjadinya bencana sekunder dari letusan gunungapi. Survei terestris pada wilayah bencana Gunung Kelud hampir tidak mungkin dilakukan karena kondisi yang cukup membahayakan. Salah satu cara untuk dapat mengidentifikasi material piroklastik hasil letusan gunungapi adalah menggunakan citra hyperspektral. Pengolahan citra hyperspektral dapat dilakukan menggunakan Pixel Purity Index (PPI) agar mendapatkan endmember yang berfungsi untuk menyusun kurva spektral dan basis pengambilan sampel material piroklastik di lapangan untuk mengetahui ukuran butir melalui uji granulometri. Hasil uji granulometri menunjukkan bahwa rerata ukuran material piroklastik adalah 0 - 2 φ. Kurva spektral yang dihasilkan oleh masing – masing ukuran sampel memperlihatkan bahwa material piroklastik sebesar 0 φ dapat diidentifikasi pada panjang gelombang 823,65 nm, 1 φ pada panjang gelombang 1305,96 nm dan 2 φ pada panjang gelombang 1497,63 nm. Nilai pantulan setiap material piroklastik pada masing – masing panjang gelombang sebesar 16,17%, 18,69% dan 27,03%. Pemetaan menggunakan metode Spectral Angle Mapper (SAM) menunjukkan sebaran material dengan ukuran tersebut berada pada sisi utara dan barat tubuh gunungapi.
PENENTUAN KESESUAIAN LOKASI MARIKULTUR IKAN KERAPU DI SUMATERA UTARA, INDONESIA MENGGUNAKAN GOOGLE EARTH ENGINE Seftiawan Samsu Rijal; Gerardus David Ady Purnama Bayuaji
JFMR (Journal of Fisheries and Marine Research) Vol 5, No 2 (2021): JFMR VOL 5 NO.2
Publisher : JFMR (Journal of Fisheries and Marine Research)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2021.005.02.21

Abstract

Provinsi Sumatera Utara di Indonesia tercatat telah memproduksi komoditas ekspor yang sangat tinggi untuk Ikan Kerapu. Hal ini harus dipertahankan sebagai upaya menjaga keberlangsungan ekonomi perikanan. Salah satu cara mengembangbiakan Ikan Kerapu adalah dengan marin akuakultur (marikultur) yang sangat bergantung pada ekologi lautan seperti keberadaan klorofil-a, Suhu Permukaan Laut (SPL), Muatan Padat Tersuspensi (MPT) dan topografi kedalaman laut (batimetri). Kondisi ekologi lautan yang sangat mudah berubah menghendaki pemantauan secara berkala. Pada penelitian ini, kami memiliki tujuan pertama yaitu mengetahui kemampuan data penginderaan jauh untuk mengekstraksi parameter - parameter yang digunakan untuk kelayakan lokasi marikultur Ikan Kerapu. Kami menggunakan Landsat 8 untuk mengetahui klorofil-a, SPL dan MPT, sedangkan data batimetri didapatkan dari ETOPO1, sebuah data topografi skala global yang memiliki perekaman permukaan lahan (terrain) hingga dasar lautan. Tujuan kami yang kedua adalah mengetahui keakuratan kesesuaian lokasi marikultur yang dihasilkan oleh pemrosesan citra pada GEE. Hasil penelitian dibandingkan dengan peta referensi mengenai lokasi marikultur yang diperoleh dari Lembaga Penerbangan dan Antariksa Nasional (LAPAN) dan menampilkan hasil pengujian matriks akurasi sebesar 80 %. Hal ini membuktikan data penginderaan jauh dapat digunakan untuk membantu menentukan lokasi marikultur Ikan Kerapu dan GEE adalah platform yang sesuai untuk pemantauan secara berkala dengan kemampuan olah citra melalui komputasi awan sekaligus dapat melakukan analisis penjenjangan bertingkat.
Deteksi Batimetri Perairan Dangkal di Pulau Menjangan, Provinsi Bali Menggunakan Citra Landsat Gerardus David Ady Purnama Bayuaji; Seftiawan Samsu Rijal; Kuncoro Teguh Setiawan; Kholifatul Aziz
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.13886

Abstract

Remote sensing-based research in Indonesia using satellite imagery frequently faces the challenge of cloud coverage due to the tropical country. One spatial data that can be extracted from satellite imagery is bathymetry. However, cloud-covered water bathymetric extraction still needs to be examined. This study aims to understand the ability of Landsat 7 ETM+ acquired on 29 July 2013, and Landsat 8, acquired on 24 July 2020, as the representative of non-cloudy image compared to Landsat 8, acquired on 9 August 2020, as the cloudy image. Stumpf algorithm was applied, including a statistical approach of linear regression analysis with in-situ data measurement from Single Beam Echo-Sounder (SBES) to derive the absolute bathymetric map with several classes of depth ranging from 0 – 2 m up to 10 m. To assess the accuracy, RMSE and confusion matrix was used. The result shows that Landsat 7 ETM+ yields the highest R2 with 0,52, while the lowest total RMSE (8,167 m) and highest overall accuracy of about 69% from the confusion matrix was achieved by the cloudy image of Landsat 8. Nevertheless, the highest absolute depth value yield by Landsat 8 non-cloudy image with 16,1 m. This research confirms that the highest R2 value does not always produce the best model, but it is still promised to be used. Furthermore, the quality of the imagery based on its percentage of cloud coverage is affecting the resulted model.
Pemodelan Banjir Rob Wilayah Jakarta Utara Menggunakan Sistem Informasi Geografis Indah Ferdiani Zuhriah; Bambang Setiadi; Seftiawan Samsu Rijal
Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v4i2.14196

Abstract

Rising sea levels originating from high tides and inundating land are known as tidal flooding. The cases of tidal floods are increasing day by day, especially in areas directly adjacent to the high seas. One of the areas that are prone to tidal flooding is North Jakarta. This study aims to determine the areas affected by the tidal flood and the extent of the area affected by the tidal flood in the Jakarta City area. This research can be used to take preventive action for residents to face the tidal flood disaster. The tidal flood height modeling was obtained based on the value of Mean Sea Level (MSL), Higher High Water Level (HHWL), and the trend of global rising tides. The result of this study is a map of areas affected by tidal flooding, where the lowest is at an altitude of 0.4 m in Penjaringan and Cilincing. At the height of this tidal flood, the impact was approximately 54 hectares of residential areas, 59 hectares of buildings, and 146 hectares of agricultural activities. The highest area affected by the tidal flood is at an altitude of 1.96 m which inundates the coastal District of Penjaringan, Cilincing, Pademangan, and Tanjung Priok Port. The height of the highest tidal flood impacts 983 ha of residential areas, 493 ha of buildings, and 830 ha of the agricultural sector were inundated. At the height of the tidal flood, which is almost 2 m high, it is necessary to carry out careful disaster mitigation efforts for the local government.
Co-Authors Bambang Setiadi Dewi Ratna Sari Gerardus David Ady Purnama Bayuaji Gerardus David Ady Purnama Bayuaji Hamim Zaky Hadibasyir Indah Ferdiani Zuhriah Kholifatul Aziz Kuncoro Teguh Setiawan