Article Per Year (5 Year)
p-Index From 2019 - 2024
1.203
P-Index
This Author published in this journals
All Journal Forum Geografi Journal of Geoscience, Engineering, Environment, and Technology JRST (Jurnal Riset Sains dan Teknologi) Communications in Science and Technology Elipsoida : Jurnal Geodesi dan Geomatika
Muhammad Ulin Nuha
Department Of Geomatics Engineering, Faculty Of Regional And Infrastructure Technology, Institut Teknologi Sumatera
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Physics

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Rapid Land Cover Change in The South Sumatera Peat Area Associated With 2015 Peat Fires Raden Putra; Tastaptyani K Nufutomo; Yuni Lisafitri; Novi K Sari; Alfian Zurfi; Deni O Lestari; Muhammad U Nuha
Journal of Geoscience, Engineering, Environment, and Technology Vol. 7 No. 1 (2022): JGEET Vol 07 No 01 : March (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2022.7.1.6395

Abstract

The peat fire events in Indonesia, particularly the South Sumatra area, changed the appearance of surface vegetation. The fires usually occur during the dry season from July to October. This study aims to evaluate land cover changes due to 2015’s peat fire in the South Sumatra peatlands. Remote sensing techniques using a Normalized Difference Vegetation Index (NDVI) method were used to identify the change of vegetation density in the study area. The results showed that 69% of the total South Sumatra peatland was burned due to the 2015 peat fire event. The level of vegetation density was considerably decreased by fire events. The degradation in the burned area was dominated by land cover class of ferns/shrub. The Peat fires during the observation period have a negative impact on the peat ecosystem, so improvements are needed in peatland management practices. Improvements need to be made in fire prevention and management practices, as well as restoration of burnt land.
Modeling of tsunami run-up using terrain model data based on photogrammetry processing product (case study at Way Muli Village, Rajabasa, South Lampung) Muhammad Ulin Nuha; Naufal Hilmi; Adhitya Erlangga Pamungkas; Chantika Dwi Novita; Adam Irwansyah Fauzi; Aulia Try Atmojo; Rizky Ahmad Yudanegara
Elipsoida : Jurnal Geodesi dan Geomatika Vol 4, No 01 (2021): Volume 04 Issue 01 Year 2021
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2021.11493

Abstract

Photogrammetry has become a trend in large-scale mapping today. The ability to produce large-scale geospatial products in a relatively short time and low cost is very beneficial for mapping. The ability of high temporal and spatial resolution also makes photogrammetry used in the disaster mapping process. In this study, the DEM approach from photogrammetry was used for input data in tsunami run-up modeling activities in Way Muli Village. High temporal and spatial capabilities are utilized for the production of surface roughness and elevation which are key parameters for rigorous inundation modeling. The modeled inundation results show that the run-up limit achieved in residential areas is on the main road with a maximum distance of inundation from the shoreline is an average of 80 m. The results obtained can be used by the village government to preparedness in dealing with the tsunami.
HUBUNGAN KONSTANTA ATENUASI DENGAN KONSTITUEN AIR PADA PERAIRAN PELABUHAN KARIMUNJAWA MUHAMMAD ULIN NUHA; ABDUL BASITH; WIKANTI ASRININGRUM; GATHOT WINARSO; KUNCORO TEGUH KURNIAWAN
Elipsoida : Jurnal Geodesi dan Geomatika Vol 2, No 01 (2019): Volume 02 Issue 01 Year 2019
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.317 KB) | DOI: 10.14710/elipsoida.2019.4858

Abstract

Satellite-derived bathymetry (SDB) is one of the techniques in remote sensing for extraction of ocean depth by utilizing optical imagery. Spectral data from the water column is needed for SDB process. One of SDB method is an analytical method requiring field spectral data, water attenuation, and water constituents for depth estimation processes. Spectral data and attenuation were acquired by TriOS Ramses spectrometer. Water constituents are taken from filtered water samples to be tested at the laboratory. The water constituents tested were chlorophyll, CDOM, TSS, and TOM. The depth value of bathymetry extraction is strongly influenced by light penetration behavior. This is influenced by the condition of water constituents. Water constituents affect the attenuation of water. The study gives results from 4 stations of attenuation measurement having a positive correlation with chlorophyll constituents. Chlorophyll has a positive correlation with other constituents (TOM, CDOM, and TSS). From the value of water attenuation, the water classification around Karimunjawa Port are clear water of type III and 1 which have a value of (PAR) is 0.111 m-1.
Aerosol optical depth (AOD) retrieval for atmospheric correction in Landsat-8 imagery using second simulation of a satellite signal in the solar spectrum-vector (6SV) Abdul Basith; Muhammad Ulin Nuha; Ratna Prastyani; Gathot Winarso
Communications in Science and Technology Vol 4 No 2 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.45 KB) | DOI: 10.21924/cst.4.2.2019.122

Abstract

Atmospheric correction has been challenging task in digital image processing. It requires several atmospheric parameters in order to obtain accurate surface reflectance of objects within the image scene. One of the most crucial parameters required for accurate atmospheric correction is aerosol optical depth (AOD). AOD can be obtained by in-situ measurement or estimated from remote sensing observation. In this experiment, atmospheric correction was performed using second simulation of a satellite signal in the solar spectrum-vector (6SV) algorithm on Landsat-8 imagery in which AOD parameter was retrieved from surface reflectance inversion involving daily-global surface reflectance product of moderate resolution imaging spectroradiometer (MODIS). Furthermore, AOD retrieved from surface reflectance inversion was also validated using ground-based sun photometer observation data from aerosol robotic network (AERONET) station in Bandung, Indonesia. Our experiment shows the consistency between AOD from surface reflectance inversion and AOD from ground-based observation. Finally, 6SV was performed on Landsat-8 imagery to obtain the surface reflectance. We further compared surface reflectance of 6SV atmospheric correction and surface reflectance of Landsat-8 Level 2 product. The atmospherically corrected image also shared agreeable result with Landsat 8 Level-2 product.
Segmentasi Sesar Semangko Timur menggunakan Pengukuran Fotogrametri Satrio Muhammad Alif; Muhamad Ilvan Ardiansyah; Muhammad Ulin Nuha; Een Lujainatul Isnaini
JRST (Jurnal Riset Sains dan Teknologi) Volume 6 No. 1 Maret 2022: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1353.624 KB) | DOI: 10.30595/jrst.v6i1.10769

Abstract

Sesar Semangko dengan panjang 65 km merupakan wilayah yang aktif secara tektonik dan terletak di Provinsi Lampung. Sesar Semangko terbagi menjadi dua: Sesar Semangko Barat dan Sesar Semangko Timur. Segmentasi sesar Semangko Timur terlihat terputus dari citra satelit dengan resolusi spasial 30 meter ketika melalui Kota Agung karena terjadi sedimentasi. Penelitian ini bertujuan mendapatkan segmentasi sesar Semangko Timur menggunakan pengukuran fotogrametri dengan resolusi spasial yang jauh lebih baik dibandingkan citra dari satelit. Data yang digunakan adalah data pengukuran fotogrametri dan Global Navigation Satellite System (GNSS) di wilayah dengan luas 100 hektar di lokasi terputusnya sesar Semangko Timur di Kota Agung, Tanggamus. Pengukuran fotogrametri dilakukan dengan menggunakan tinggi terbang sebesar 100 meter. Segmentasi sesar dilakukan dari DSM hasil pengolahan fotogrametri dengan mendefinisikan perbedaan nilai kelerengan di sesar Semangko Timur sebelum terputus dan diterapkan di lokasi penelitian dengan ciri serupa. Nilai kelerengan diperoleh dengan pembuatan kontur dari DSM. Kualitas produk DSM hasil pengukuran fotogrametri mencapai 12,4 cm untuk ketelitian horizontal dan 36 cm untuk ketelitian vertikal. Segmentasi sesar Semangko Timur yang tergambarkan dengan pengukuran fotogrametri yaitu sepanjang 100 meter di tutupan lahan persawahan.
Monitoring Biochemical Oxygen Demand (BOD) Changes During a Massive Fish Kill Using Multitemporal Landsat-8 Satellite Images in Maninjau Lake, Indonesia Arif Rohman; Adam Irwansyah Fauzi; Nesya Hafiza Ardani; Muhammad Ulin Nuha; Redho Surya Perdana; Rian Nurtyawan; Aynaz Lotfata
Forum Geografi Vol 37, No 1 (2023): July 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v37i1.21307

Abstract

Maninjau Lake is one of Indonesia's lakes for hydroelectric power plants, tourism, and fish farming activities. Some activities around the lake cause pollution, leading to massive fish kill. Therefore, it is necessary to monitor water quality regularly. One of the critical water quality parameters is biochemical oxygen demand (BOD). This study aimed to analyze BOD changes using a remote sensing approach during massive fish kills in Maninjau Lake, Indonesia. Multi-temporal Landsat-8 satellite images are processed to estimate the BOD level based on Wang Algorithm. After that, the estimated BOD value is validated using in situ data measurement. The results of the average BOD concentration that occurred in Lake Maninjau was 1.85 mg/L and showed that R2 was 0.8334, and the standard error was 0.076 between the estimated BOD and in situ data. Furthermore, the average concentration of BOD obtained on 23rd August 2017, 13th December 2017, 30th January 2018, 19th March 2018, and 7th July 2018 are 4.96 mg/L, 4.82 mg/L, 5.31 mg/L, 6.94 mg/L, and 6.60 mg/L, respectively. Increased BOD concentration in January 2018 indicates moderate pollution in the waters. BOD concentration increases after the massive fish kill due to the decaying fish across the lake.
Co-Authors ABDUL BASITH Adam Irwansyah Fauzi Adhitya Erlangga Pamungkas Alfian Zurfi Arif Rohman Aulia Try Atmojo Aynaz Lotfata Chantika Dwi Novita Deni O Lestari Een Lujainatul Isnaini Gathot Winarso Gathot Winarso KUNCORO TEGUH KURNIAWAN Muhamad Ilvan Ardiansyah Naufal Hilmi Nesya Hafiza Ardani Novi K Sari Raden Putra Ratna Prastyani Redho Surya Perdana Rian Nurtyawan Rizky Ahmad Yudanegara Satrio Muhammad Alif Tastaptyani K Nufutomo Wikanti Asriningrum Yuni Lisafitri