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All Journal Jurnal Ilmiah Widya MAJALAH ILMIAH WIDYA JURNAL ILMIAH GEOMATIKA MAJALAH ILMIAH GLOBE International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Nanik Suryo Haryani
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Mathematics Other

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MODEL SIMULASI BANJIR MENGGUNAKAN DATA PENGINDERAAN JAUH, STUDI KASUS KABUPATEN SAMPANG DENGAN MENGGUNAKAN METODE GRIDDED SURFACE SUBSURFACE HYDROLOGIC ANALYSIS Haryani, Nanik Suryo; Pasaribu, Junita Monika; Ambarwati, Dini Oktavia
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 2 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i2.3262

Abstract

The problem of flood that yearly occurred in Sampang district was due to the very large amount of runoff flow to the Sampang Cit, very high sedimentation in the river that crosses the city, as well as the lack of good drainage system especially in urban residential areas. Some of that problems eventually can lead to flooding in the City of Sampang. The method used for flood simulation model was GSSHA (Gridded Surface Subsurface Hydrologic Analysis), which is able to produce a good hydrological components. The data used data in this research among others are: Qmorph, DEM-SRTM (Digital Elevation Model-Shuttle Radar Topography Mission), SPOT-5 of 2010, land map, river cross sections and field data. This flood simulation model research resulting flood discharge, which is described in the hydrograph and flood depth calculations. The peak discharge resulted in several catchment areas (CA): Klampis CA is 5.40 m³/s, Jelgung CA is 364788.9 m³/s, Kamoning CA is 32.40 M³/s, and 3 CAs which are associated with the above CAs is 174059 m³/s.
PERBANDINGAN TEKNIK INTERPOLASI DEM SRTM DENGAN METODE INVERSE DISTANCE WEIGHTED (IDW), NATURAL NEIGHBOR DAN SPLINE Pasaribu, Junita Monika; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 2 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i2.3265

Abstract

Flood simulation model requires input data, such as 10 meters spatial resolution of DEM (Digital Elevation Model) which is higher than the available data DEM SRTM (Shuttle Radar Topography Mission). Detail DEM can be made using interpolation method of height points. The research has two purposes, first is to generate DEM with 10 meters spatial resolution and the second is to study the differences of the DEM interpolation result by using Inverse Distance Weighted, Natural Neighbor and Spline. Height points of DEM SRTM were extracted and converted into point format data, and then it was used as the input data in interpolation process. The quality of DEM from the interpolation result was influenced by weighting model used in the process, therefore the effects of weighting model on height value obtained by the interpolation result was also observed. The result indicates that the best DEM with 10 meters spatial resolution can be produced using Natural Neighbor and Regularized Spline type method. The DEMs have low error value, smooth surface and closer appearance to the earth's surface observed visually from Google Earth. Another influential factor to improve the quality of DEM in interpolation process, is the height points of the input data should be evenly distributed over the study area.
DETEKSI DAERAH TERCEMAR LUMPUR ASAM MENGGUNAKAN DATA LANDSAT 7 ETM BERDASARKAN SUHU PERMUKAAN TANAH Sulma, Sayidah; Pasaribu, Junita Monika; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 2 (2014)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v11i2.3301

Abstract

The high human activity in the mining and industrial areas increases the potency for hazardous and toxic waste pollution. One form of hazardous and toxic waste is acid sludge, a mixture of hydrocarbons and sulfuric acid derived from the disposal of plant wax. This study aims to detect and monitor the acid sludge contaminated area based on the Land Surface Temperature (LST) derived from Landsat 7 ETM multi-temporal data. The steps included data collection, development of LST algorithms for Landsat 7 ETM resulted from regression of Terra-MODIS LSTand Tb of Landsat data, calculation of LST using Landsat 7 ETM multi temporal data and monitoring LST in polluted areas. The distribution of the MODIS LST value can be used as a reference in determining the LST from Landsat 7 ETM by performing linear regression models with a coefficient determination of 0.84. Based on the analysis of LST, the contaminated areas have a higher temperature compare to the uncontaminated area. There is no significant relationship pattern to the land and land recovery process. This may indicate that the recovery process in that area did not significantly affect the temperature.
DETEKSI LIMBAH ACID SLUDGE MENGGUNAKAN METODE RED EDGE BERBASIS DATA PENGINDERAAN JAUH Haryani, Nanik Suryo; Hidayat, Hidayat; Sulma, Sayidah; Pasaribu, Junita Monika
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 2 (2014)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v11i2.3303

Abstract

In line with the growing industry and population, the contamination of hazardous and toxic waste material increased. The increases is triggered by inappropriate handling of household and industry sector. The monitoring or detection of contaminated area or zone is very crucial to identify the areas of dispersion of the hazardous waste material. Remote sensing is one of applicable tool for detecting purposes. Several research has utilized remote sensing data to detect the contaminated areas by vegetation index, surface temperature as well as other indexes. This research proposes the red edge method from Landsat TM data to detect the hazardous waste material contamination in Pertamina RU-V Balikpapan. Based on the executed review, it is acknowledged that red edge method has a potential to detect the existence of hazardous and toxic waste, in the case where the acid sludge waste detection is correlated with the land rehabilitation such as neutralization, bioremediation, solidification and non-activation of acid sludge in the contaminated area which can be observed from its spectral displacement. The detection is related to bioremediation implementation and the indication of acid sludge in contaminated area. Based on the executed review, the red edge method is potentially applicable for this activity. The red edge pattern has defined the contaminated area in Pertamina RU-V Balikpapan. Based on the obtained and reviewed data, this research concluded that the monitoring of condition of hazardous waste could be implemented to identify which hazardous waste has been treated.
KLASIFIKASI DAERAH TERCEMAR LIMBAH ACID SLUDGE MENGGUNAKAN METODE SPECTRAL MIXTURE ANALYSIS BERBASIS DATA LANDSAT 8 Haryani, Nanik Suryo; Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i1.3307

Abstract

The existence waste materials in an area potentially triggers the contamination, and in turns will damages the environment particularly in the vicinity of waste disposal location. This research is aimed to analyze the acid sludge waste contaminated area using the remote sensing satellite Landsat 8. The applied methodology for analyzing the spectral of contaminated area is using spectral mixture analysis method. The result shows that the spectral analysis using this method with spectral reference based on endmember images convey the better output. This is caused by the availability of the SWIR wave length in Landsat 8. The SWIR wave length is sensitive against a highly contaminated substance like as sand and sludge, and contributes to non land contaminated substance like vegetation. Further the index classification based on images endmember shows the result which matching better to the field condition. Based on accuracy review, the result shows the classification accuracy based on this index as 62.5 %.
PERBANDINGAN HASIL KLASIFIKASI LIMBAH LUMPUR ASAM DENGAN METODE SPECTRAL ANGLE MAPPER DAN SPECTRAL MIXTURE ANALYSIS BERDASARKAN CITA LANDSAT - 8 Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3311

Abstract

The utilization of remote sensing data is an alternative way that could be used for rapid detection of large coverage hazardous waste area. This study aims to classify the acid sludge contaminated area using Landsat 8 by applying Spectral Angle Mapper (SAM) classification method with two spectral reference sources, namely field spectral measurement using a spectrometer and endmember spectral from the image, and then compare the classification results. The accuracy level of SAM classification result showed that classification using endmember spectral from the image as the reference spectral reached 66.7%, whereas classification using field spectral measurement as spectral reference only reached 33.3%. The Spectral Mixture Analysis (SMA) classification result showed that classification using endmember spectral from the image as the reference spectral reached 62.5%. The affecting factors for the low accuracy is the significant differences of the spectral profiles obtained from spectrometer with spectral Landsat-8 due to differences of spatial and altitude measurements.
PERBANDINGAN HASIL KLASIFIKASI LIMBAH LUMPUR ASAM DENGAN METODE SPECTRAL ANGLE MAPPER DAN SPECTRAL MIXTURE ANALYSIS BERDASARKAN CITRA LANDSAT - 8 Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 1 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v13i1.3318

Abstract

The utilization of remote sensing data is an alternative way that could be used for rapid detection of large coverage hazardous waste area. This study aims to classify the acid sludge contaminated area using Landsat 8 by applying Spectral Angle Mapper (SAM) classification method with two spectral reference sources, namely field spectral measurement using a spectrometer and endmember spectral from the image, and then compare the classification results. The accuracy level of SAM classification result showed that classification using endmember spectral from the image as the reference spectral reached 66,7%, whereas classification using field spectral measurement as spectral reference only reached 33,3%. The accuracy level of Spectral Mixture Analysis (SMA) classification result showed that classification using endmember spectral from the image as the reference spectral reached 62,5%. The affecting factors for the low accuracy is the significant differences of the spectral profiles obtained from spectrometer with spectral Landsat-8 due to differences of spatial and altitude.
THE UTILIZATION OF REMOTE SENSING DATA TO SUPPORT GREEN OPEN SPACE MAPPING IN JAKARTA, INDONESIA Hana Listi Fitriana; Sayidah Sulma; Nur Febrianti; Jalu Tejo Nugroho; Nanik Suryo Haryani
International Journal of Remote Sensing and Earth Sciences Vol. 15 No. 2 (2018)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2018.v15.a2890

Abstract

Green open space becomes critical in maintaining the balance of the environment and improving the quality of urban living for a healthy life. The use of remote sensing data for calculation of green open space has been done notably using NDVI (Normalized Difference Vegetation Index) method from Landsat 8 and SPOT data. This research aims to calculate the accuracy of the green open space classification from multispectral data of Landsat 8 and SPOT 6 using the NDVI methods. Green open space could be assessed from the value NDVI. The value of NDVI generated from Landsat 8 and SPOT 6’s Red and NIR channels. The accuracy of NDVI values is then examined by comparing with Pleiades data. Pleiades data which has 50 cm panchromatic resolution and 2 m multispectral with 4 bands (B, G, R, NIR) can precisely visualize objects. So, it can be used as the reference in the calculation of the green open space based on NDVI. The results of the accuracy testing of Landsat 8 and SPOT 6 image could be used to identify the green open space by using NDVI SPOT of 6 can increase the accuracy of 5.36% from Landsat 8.
DETECTION OF GREEN OPEN SPACE USING COMBINATION INDEX OF LANDSAT 8 DATA (CASE STUDY: DKI JAKARTA) Sayidah Sulma; Jalu Tejo Nugroho; Any Zubaidah; Hana Listi Fitriana; Nanik Suryo Haryani
International Journal of Remote Sensing and Earth Sciences Vol. 13 No. 1 (2016)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2016.v13.a2712

Abstract

Spatial information about the availability and presence of green open space in urban areas to be up to date and transparent was a necessity. This study explained the technique to get the green open spaces of spatial information quickly using an index approach of Landsat 8. The purpose of this study was to evaluate the ability of the method to detect the green open spaces, especially using Landsat 8 with a combination of several indices, namely Normalized Difference Build-up Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Build-up Index (NDBI) and Normalized Difference Bareness Index (NDBaI) with a study area of Jakarta. This study found that the detection and identification of green open space classes used a combination of index and band gave good results with an accuracy of 81%.
DETECTION OF ACID SLUDGE CONTAMINATED AREA BASED ON NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) VALUE Nanik Suryo Haryani; Sayidah Sulma; Junita Monika Pasaribu
International Journal of Remote Sensing and Earth Sciences Vol. 11 No. 1 (2014)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2014.v11.a2598

Abstract

The solid form of oil heavy metal waste is known as acid sludge. The aim of this research is to exercise the correlation between acid sludge concentration in soil and NDVI value, and further studying the Normalized Difference Vegetation Index (NDVI) anomaly by multi-temporal Landsat satellite images. The implemented method is NDVI. In this research, NDVI is analyzed using the remote sensing data on dry season and wet season. Between 1997 to 2012, NDVI value in dry season is around – 0.007 (July 2001) to 0.386 (May 1997), meanwhile in wet season NDVI value is around – 0.005 (November 2006) to 0.381 (December 1995). The high NDVI value shows the leaf health or thickness, where the low NDVI indicates the vegetation stress and rareness which can be concluded as the evidence of contamination. The rehabilitation has been executed in the acid sludge contaminated location, where the high value of NDVI indicates the successfull land rehabilitation effort.
Co-Authors Any Zubaidah Dede Dirgahayu Dini Oktavia Ambarwati, Dini Oktavia Effendy, Iskandar Hana Listi Fitriana Hana Listi Fitriana, Hana Listi Hidayat Hidayat Indah Prasasti Jalu Tejo Nugroho Junita Monika Pasaribu Khomarudin, Rokhis Kustiyo Kustiyo, Kustiyo M. Priyatna M. Rokhis Khomarudin nFn suwarsono Nur Febrianti Parwali, Parwali Pasaribu, Junita Sayidah Sulma Sayidah Sulma, Sayidah Suwarsono Vetrita, Yenni Yulianto, Hidayat Fajar