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All Journal Journal of Geoscience, Engineering, Environment, and Technology MAJALAH ILMIAH GLOBE The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Wirastuti Widyatmanti
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Earth & Planetary Sciences Education Engineering Environmental Science Physics

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ANALISIS PENGARUH SUHU PERMUKAAN LAHAN TERHADAP ELEMEN IKLIM MIKRO DI SURAKARTA MENGGUNAKAN CITRA PENGINDERAAN JAUH MULTITEMPORAL Siti Zahrotunisa; Retnadi Heru Jatmiko; Wirastuti Widyatmanti
Majalah Ilmiah Globe Vol. 22 No. 1 (2020): GLOBE VOL 22 NO 1 TAHUN 2020
Publisher : Badan Informasi Geospasial

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Abstract

Perubahan penutup lahan seperti ekspansi lahan terbangun berpotensi untuk mengalami peningkatan suhu permukaan lahan dan perubahan elemen iklim mikro yang menyebabkan penurunan kenyamanan. Penelitian ini bertujuan untuk mengetahui kemampuan data penginderaan jauh untuk memperoleh paramater penutup lahan dan suhu permukaan lahan serta mengkaji pengaruh suhu permukaan lahan terhadap elemen iklim mikro (suhu udara, kelembapan udara relatif, dan kecepatan angin). Data penginderaan jauh yang digunakan adalah citra Landsat-8 OLI/TIRS, Aqua MODIS perekaman tanggal 19 Juli 2013 dan 23 Juni 2015. Metode yang digunakan dalam penelitian ini adalah klasifikasi Maximum Likelihood, Split Windows Algorithm (SWA), Inverse Distance Weighted (IDW), dan pengukuran di lapangan. Analisis statistik yang digunakan adalah korelasi Pearson Product Moment, regresi, Confusion Matrix, dan RMS Difference. Hasil penelitian menunjukkan bahwa, data penginderaan jauh dapat digunakan untuk memperoleh informasi yang akurat untuk penutup lahan dengan akurasi 92% serta suhu permukaan lahan dengan dengan nilai RMS 5,8°C dan 4,8°C. Suhu permukaan lahan dengan suhu udara dan kelembapan udara tahun 2015 memiliki hubungan yang kuat dan siginifkan, sementara dengan kecepatan angin memiliki hubungan yang rendah dan tidak signifikan. Selain itu, hubungan pada tahun 2013 lebih rendah dibandingkan tahun 2015.
APLIKASI WEB MAP DALAM PEMETAAN KESESUAIAN FISIK PERAIRAN UNTUK BUDIDAYA KERAMBA JARING APUNG DI TELUK LAMPUNG Andiyanti Putri Estigade; Ariani Puji Astuti; Arief Wicaksono; Tika Maitela; Wirastuti Widyatmanti
Majalah Ilmiah Globe Vol. 22 No. 2 (2020): GLOBE VOL 22 NO 2 TAHUN 2020
Publisher : Badan Informasi Geospasial

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Abstract

Budidaya keramba jaring apung di Provinsi Lampung menjadi salah satu pengembangan budidaya perikanan laut yang potensial dalam meningkatkan produksi pangan. Akan tetapi, penelitian mengenai kesesuaian fisik perairan untuk budidaya perikanan pada wilayah tersebut belum banyak dilakukan karena wilayahnya yang luas dan juga mahalnya biaya analisis kualitas air. Penelitian ini bertujuan untuk melakukan analisis spasial untuk menentukan lokasi potensial budidaya keramba jaring apung menggunakan citra Landsat 8 OLI dan SIG; dan menyajikan peta kesesuaian fisik perairan untuk budidaya keramba jaring apung ke dalam Web Map. Lokasi penelitian berada di sebagian Teluk Lampung. Parameter biofisik yang dipertimbangkan untuk kesesuaian keramba jaring apung antara lain kecerahan, suhu, salinitas, pH, kedalaman, material padatan tersuspensi, dan klorofil-α. Pengambilan sampel biofisik di lapangan menggunakan metode sistematis. Model akhir diperoleh dari hasil pembobotan kuantitatif berjenjang tertimbang. Setelah dihasilkan model kesesuaian fisik perairan, selanjutnya peta akhir dan semua data parameter dimasukkan ke dalam ArcGIS Online untuk disajikan ke dalam Web Map. Dengan memanfaatkan fasilitas yang disediakan oleh ArcGIS Online maka informasi mengenai kesesuaian fisik perairan untuk budidaya keramba jaring apung di Teluk Lampung diharapkan dapat tersebar luas dan dimanfaatkan secara umum, khususnya bagi pemerintah, swasta, dan masyarakat yang bekerja dalam bidang perikanan budidaya. Hasil penelitian ini mampu menunjukkan bahwa integrasi antara data penginderaan jauh, sistem informasi geografis, dan teknologi informasi geospasial dapat dimanfaatkan untuk mendukung tercapainya tujuan nomor 14 dari agenda pembangunan keberlanjutan di Indonesia.
ANALYSIS OF TSUNAMI EVACUATION ROUTE PLANNING IN KULON PROGO REGENCY Bernadeta Aurora Edwina Kumala Jati; Muhammad Falakh Al Akbar; Tri Wahyuni; Ernani Uswatun Khasanah; Amelia Rizki Gita Paramanandi; Hubertus Ery Cantas Pratama Sutiono; Dwiana Putri Setyaningsih; Wirastuti Widyatmanti; Totok Wahyu Wibowo
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3823

Abstract

Situated on the southern coast of Java Island, Kulon Progo Regency is prone to tsunami hazards since it directly faces the subduction zone of the Eurasian Plate and the Indo-Australian Plate. The road condition on the coast of Kulon Progo Regency, which extends from east to west, can be an obstacle in the evacuation process if there is no proper evacuation route planning. Total population in the study area reached 149,574 people. Therefore, it is essential to plan an evacuation route in the coastal area of Kulon Progo Regency. This study proposes the tsunami evacuation route and evaluates it with field conditions on the coast of Kulon Progo Regency. The evacuation route was built using Multi-Criteria Based Least Cost Path Analysis, which uses road network, land use, and slope data as parameters. The least cost path analysis for determining the evacuation route was carried out in 2 scenarios, namely for vehicles and pedestrians. The results of the least cost path analysis of the vehicle scenario are considered less suitable because the results are more through land use and away from the road network. The pedestrian evacuation scenario is more in line with reality because it produces a path adjacent to the road network so that it can be passed either by vehicle or pedestrian.
TSUNAMI HAZARD MODELING IN THE COASTAL AREA OF KULON PROGO REGENCY Dwiana Putri Setyaningsih; Hubertus Ery Cantas Pratama Sutiono; Amelia Rizki Gita Paramanandi; Ernani Uswatun Khasanah; Tri Wahyuni; Bernadeta Aurora Edwina Kumala Jati; Muhammad Falakh Al Akbar; Wirastuti Widyatmanti; Totok Wahyu Wibowo
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3822

Abstract

Kulon Progo Regency is located in the southern part of Java Island, one of Indonesia's areas that is prone to tsunami disasters. Kulon Progo Regency is prone to tsunamis because it faces a subduction zone in the Indian Ocean. Therefore, it is necessary to model tsunami inundation and map the tsunami hazard zone in the Kulon Progo coastal area. This study aims to model tsunami inundation and produce a tsunami hazard map with a tsunami height scenario of 5 meters and 10 meters. The method used in modeling tsunami inundation is using a mathematical calculation developed by Berryman-2006 using the parameters of the coefficient of surface roughness, slope, and the height of the tsunami at the coastline. The estimated tsunami inundation area is classified into a tsunami hazard index using the fuzzy logic method resulting in an index of 0 – 1, which is then divided into three hazard classes. The results of the tsunami hazard mapping with the 5 meters scenario are 15 villages in 4 sub-districts included in the hazard zone with a total area of 20672,34 Ha affected. The results of the tsunami hazard mapping with a 10 meters scenario are 26 villages in 4 sub-districts with a total area of 53042,66 Ha affected. The results of this research can be used as basic information for disaster mitigation.
Applied One-Dimensional Convolutional Neural Network Image Fusion Sentinel-1 SAR and Sentinel-2 for Classification and Mapping Dynamics of Coastal Wetlands in Segara Anakan, Cilacap Regency, Indonesia Muhammad Usman Zakaria; Wirastuti Widyatmanti; Retnadi Heru Jatmiko
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.22909

Abstract

Coastal wetlands have an important function, namely as an economic function and an ecological function, therefore the mapping and classification of wetlands is very important. However, remote sensing has limitations, namely high variability and spectral similarity between kleas. This makes the development of image fusion of SAR and optical images in classification, the combination of SAR and optical can provide better information. Over time, the CNN method of performing image fusion developed, which is a good method used to perform classification. In this study, Sentinel-2 fusion and VV polarization were used to identify the shrub classes that dominate Segara Anakan. The results of the application of CNN1D in the classification of wetlands in Segara Anakan resulted in an overall accuracy of 79.37% and a kappa of 0.76, so that CNN1D is very good at recognizing wetland classes but has limitations in recognizing Nypa which has spectral similarities with other classes. The benefit of using CNN1D that has been trained is that the model can be applied to a variety of other images. In its application, we used the image of Segara Anakan from 2019-2025 so as to gain knowledge, namely that Segara Anakan is controlled by the sedimentation process so that wetland classes increase dynamically. The massive sedimentation process in Segara Anakan was then overgrown by mangrove vegetation, besides that another trend is the change of vegetation from mangroves to nypa vegetation. This is because nypa vegetation is a vegetation that can adapt to medium to low salinity. Despite conducting a multitemporal study with a narrow gap of 6 years, the CNN1D that we have trained can classify wetlands in Segara Anakan well from 2019 to 2025. In addition, CNN1D with a light computing load can be an option if you need deep learning applications in other research.
Co-Authors Amelia Rizki Gita Paramanandi Andiyanti Putri Estigade Ariani Puji Astuti Arief Wicaksono Bernadeta Aurora Edwina Kumala Jati Dwiana Putri Setyaningsih Ernani Uswatun Khasanah Hubertus Ery Cantas Pratama Sutiono Muhammad Falakh Al Akbar Muhammad Usman Zakaria Retnadi Heru Jatmiko Siti Zahrotunisa Tika Maitela Totok Wahyu Wibowo Tri Wahyuni