Results Of Image Interpretation Research Articles

Magnetic resonance imaging subtraction vs. pre- and post-contrast 3D gradient recalled echo fat suppressed imaging for evaluation of the canine and feline brain.

Subtraction magnetic resonance imaging (MRI) has been reported to increase accuracy in the diagnosis of meningeal and inflammatory brain diseases in small animals. 3D T1W gradient recalled echo (GRE) techniques have been proposed as a suitable alternative to conventional spin echo sequences in imaging the canine brain. The aim of this study was to compare subtraction images and paired pre- and post-contrast 3D T1W GRE fat suppressed (FS) images in canine and feline MRI studies using clinical diagnosis as the gold standard. Paired pre- and post-contrast T1W 3D FS GRE images and individual subtraction images of 100 small animal patients were randomized and independently evaluated by 2 blinded observers. Diagnosis categories were "normal," "inflammatory," "neoplastic," and "other." Clinical diagnosis was made in the same categories and served as the gold standard. Image interpretation results were compared to the clinical diagnosis. Interobserver agreement was determined. Clinically, 41 studies were categorized as "normal," 18 as "inflammatory," 28 as "neoplastic," and 13 as "other." The agreement of the pre- and post-contrast GRE images with the gold standard was significantly higher than that of the subtraction images (k = 0.7491 vs. k = 0.5924; p = 0.0075). The largest sources of error were misinterpretation of "other" as "normal" and "normal" as "inflammatory." There was no significant difference between the two observers (p = 0.8820). Based on this study, subtraction images do not provide an advantage to paired pre- and post-contrast FS GRE images when evaluating the canine and feline brain.

Analysis of The Utilization of The Automatic Exposure Control (AEC) Feature in The Use of Deep Learning Breast Image Technology in Women's Mammogram Screening Examinations at Dharmais Cancer Hospital

Deep learning technology is useful for radiology specialists as double reading to help increase the accuracy of image interpretation results. One of the preparations for maximizing the use of this technology is using good-quality images as the source. The Automatic Exposure Control (AEC) feature, which functions to determine exposure factors automatically, is expected to help produce images with good and consistent quality so that deep learning technology can work more effectively. This research aims to determine the quality results of mammogram images taken using the AEC feature and to analyze the use of deep learning technology in evaluating mammogram images. This research method is retrospective by collecting 800 mammogram images randomly and anonymously. Three hundred images were tested, 500 were evaluated, and 250 were analyzed for image quality based on references related to applying AEC and assessing the contrast-to-noise ratio (CNR). Deep learning technology was analyzed by comparing the results of mammogram image evaluation using deep learning and the evaluation results of a radiology specialist. Deep learning technology analysis shows that 98% of mammograms have the same results as the radiology doctor's evaluation, and 2% have different results from the radiology doctor's evaluation where the image has a dense breast type. The image quality results in this research showed that 97.6% of the 250 samples taken using the AEC feature had good image quality, and 2.4% had poor image quality due to inappropriate breast positioning during the examination.

Expanding the dynamic range of a measuring system that implements the phase triangulation method

The article is devoted to the development of phase triangulation and structured illumination methods for measuring the geometry of objects with arbitrary light-scattering surface properties. A method for expanding the dynamic range of a measuring system that implements the phase triangulation method is proposed. The method is based on automatic adjustment of the exposure time of the photodetector, excessive collection of experimental data, and complex regression analysis. The results of experimental studies of the effectiveness of the proposed method for expanding the dynamic range of the measuring system are presented. It is shown that the classical approach to image interpretation using a photodetector with a fi xed exposure duration almost always leads to a high level of error over the entire range of light-scattering properties of the surface. For low exposure values, there is an increase in the measurement error in the region of the dark surface, since the signal level there turns out to be signifi cantly weaker than for the bright regions of the measured surface. For large exposure values, an increase in the error is observed when measuring the bright area of the measured surface, since the signal is outside the dynamic range of the photodetector. The proposed method of image interpretation with an extended range of the measuring system demonstrates an error level less than or comparable to the results of image interpretation with a fi xed exposure for all measured light-scattering properties of the surface. The proposed method makes it possible to perform automated measurements without additional optimization of the photodetector parameters for the light-scattering properties of the surface of the measured object.

Analysis of Changes in the Area of Coral Reef Cover on Samalona Island, Mariso District, Makassar City, South Sulawesi.

<b>Background and Objective:</b> Coral reefs on Samalona Island have been under pressure both by natural events and by human (anthropogenic) activities, which have caused area degradation. Research on changes in the area of coral reefs is urgently needed. Hence, the objective of this research was to determine changes in the area of coral reefs from 2017, 2020 and 2023 and to determine the percentage of coral reef cover on Samalona Island. <b>Materials and Methods:</b> The method used to determine changes in the area of coral reef is the (unsupervised) method using Sentinel 2-A imagery and processed with ArcMap 10.8 while determining the percentage of coral reef cover (UPT) and processing with CPCe software. <b>Results:</b> From the results of image processing, it was found that changes occur every 3 years, namely 0.22 Ha, while the results of the accuracy test from the results of image interpretation with a ground check were 87.44%. The results of the percentage of coral reef cover obtained at station I, amounted to 6.99%, at station II 20.55% and at station III, 29.39%. The percentage of coral reef cover on Samalona Island in poor condition refers to the Decree of the Minister of State for the Environment No. 4 of 2001 concerning standard criteria for damage to coral reefs. <b>Conclusion:</b> There is a change in the area of coral reefs on Samalona Island which is heading to a damaged or declining condition every three years from 2017, 2020 to 2023.

PEMETAAN PERUBAHAN LUASAN HUTAN MANGROVE DENGAN MENGUNAKAN CITRA SATELIT LANDSAT 8 DI PULAU KARAMPUANG KABUPATEN MAMUJU SULAWESI BARAT

This study aims to determine the extent of the distribution of mangrove forests in the last 5 years starting from 2017 – 2021. This research was carried out for 1 month, from 1 – 30 April, 2022 on Karampuang Island, Mamuju Regency, West Sulawesi. The method used in this study is the interpretation of Landsat 8 imagery for changes in the area of mangrove cover from 2017 – 2021 and the RGB color composite used is 563. The use of this composite is considered to be able to highlight aspects of the differences between mangrove forests and non-mangrove forests. The results of image interpretation also show a reduction and increase in area from 2017 to 2021. The area of mangrove forests on Karampuang Island fluctuates, namely in 2018 there was an increase in area of 2.16 ha in 2019 there was a reduction in area of 9.02 ha in 2018. In 2020 there will be another reduction of 0.2 ha and in 2021 there will be an addition of 2.59 ha.

Karakteristik Geomorfologi Daerah Posso Kabupaten Gorontalo Utara dan Sekitarnya

The landforms in the Gorontalo area are only limited to the physiographic division of Gorontalo. Therefore, this research aims to analyze the geomorphological characteristics of the research area to obtain detailed data that can be used as basic data for the theoretical purposes of Gorontalo geomorphology and disaster applications. The method used in this research is field observation and visual interpretation using satellite imagery, namely GeoEye (GoogleEarth) and Digital Elevation Model. Data analysis was carried out in the form of an analysis of the geomorphological condition of the research area supported by the results of image interpretation—determination of geomorphological units using the Van Zuidam classification. The results showed that the geomorphology of the study area consisted of six geomorphological units: structural hills, volcanic hills, denudational hills, denudational plains, fluvial plains, and marine plains. The morphography and morphometry of the research area are hilly, lowland, and coastal plains generally located at an altitude of 0-393 masl with slopes ranging from flat to extremely steep with a sloping pattern. The morphology of the landform units in the study area starts from the Early Miocene to the Holocene in the form of magmatism, volcanism, and exogenous processes. The presence of geological structures in the form of fractures and faults in geomorphological units and the influence of exogenous processes on landforms can be a reference in mapping the direction of mitigation in the research area, theoretically and practically.

Analysis of land-use change over five- and ten-year periods in Hamparan Perak, North Sumatra, Indonesia

One of the subdistricts located downstream of the Belawan Watershed is Hamparan Perak. The population in the Deli Serdang Regency is increasing every year. It causes increasing of land needs to be expanded in to any forms. Currently, there is no available data and information related to land-use changes, impacts and responses carried out in Hamparan Perak that can be used to support planning data in managing this area. Hamparan Perak is included in Deli Serdang Regency, North Sumatra Province, Indonesia. This study analyses land-use changes in Hamparan Perak over five- and ten-year periods. A ground check is carried out on several types of land-use to ensure the results of image interpretation that have been carried out. A change-detection analysis is made available in the geographic information system to find out changes in land-use. Trigger factors, pressures and impacts of land-use changes and the responses carried out were analysed using the DPSIR approach (driving force, pressure, state, impact, response). Based on the study results, the types of land-use that experienced an increase in area were industrial, oil palm plantations, rubber plantations, settlements, shrubs and sugarcane plantations. The types of land-use that decreased were mangrove forests, mixed gardens, open land, paddy fields and ponds. Changes in land-use impact reduced biodiversity, damaged mangroves and decreased rice production.

A Statistical Prediction Model for Healthcare and Landslide Sensitivity Evaluation in Coal Mining Subsidence Area.

The purpose of this study is to compare the results of the frequency ratio (FR) model with the weight of evidence (WOE) and the logical regression (LR) methods when applied to the landslide susceptibility evaluation in coal mining subsidence areas. Key geological disaster prevention and control areas are taken as the research areas. Field investigation is carried out according to the recorded landslide disaster points in the past five years, and 86 landslide disaster points are determined from the remote sensing satellite images. Furthermore, 12 factors affecting the occurrence of landslide are selected as landslide sensitivity evaluation factors. Among them, slope degree, curvature, elevation, and slope aspect are derived using the digital elevation model (DEM) through 30 m × 30 m resolution. The DEM datasets are derived from the geospatial data cloud, lithology datasets are derived from the geological lithology maps, and land use type map is derived from the current situation of national land use. The distances between roads and coal mining subsidence areas are calculated according to field investigation and remote sensing image interpretation results. In addition, the evaluation model includes an annual rainfall distribution map. Finally, the accuracy of three models is compared by ROC curve analysis. The elevation results demonstrate that the frequency ratio-logic regression (FR-LR) model takes the maximum accurateness of 0.913, subsequent to the FR model and the frequency ratio-weight of evidence (FR-WOE) model, respectively. Thus, using LR method based on the FR model has guiding significance for predicting the landslide sensitivity in coal mining. This reduces probable risks and disasters that affect human health. Subsequently, this ensures higher safety from the healthcare perspective in the mining fields.

ANALISIS PERUBAHAN PENGGUNAAN LAHAN DAERAH TANGKAPAN AIR DANAU KERINCI (Land Use Change Analysis in The Kerinci Lake Catchment Area)

Lake Kerinci is one of the 15 national priority lakes. In general, residents in this area carry out agricultural or plantation activities without applying conservation principles, resulting in a decrease in the carrying capacity of the Catchment Area (DTA). In addition, DTA Lake Kerinci has also experienced an increase in population, thus encouraging land-use changes. This study aims to analyze land-use changes in DTA Lake Kerinci. Analysis of land-use change analysis uses Landsat imagery 5 TM for 2009 and Landsat imagery 8 OLI-TIRS for 2019 using the guided classification method (Maximum Likelihood Classification/MLC). The accuracy of the image interpretation results is carried out through the Kappa accuracy test. Interpretation of land-use imagery and classification have relatively high accuracy with a kappa value of 78.67% (good) on land use in 2009, 83.30% (almost perfect) on land use in 2019, with an average Kappa Accuracy (KA) of 79.63%. Land-use changes in Lake Kerinci DTA for the 2009-2019 period experienced a significant increase in the area of dry agricultural land by 13% or 13,151.05 ha and a decrease in primary forest area by 6.76% or 6,834.13 ha.

Identification of groundwater potential zones in the Southern Mountains, Yogyakarta Special Region

Southern Mountains, Yogyakarta Special Region is a zone that extends from the south-eastern part of Yogyakarta Special Region to the east along the southern coast of East Java. From the hydrogeological map, it is known that the area is an area of scarce groundwater. This study aims to determine the potential for groundwater in these areas. The identification of groundwater potential is carried out using the Groundwater Potentiality Index (GPI) method by referring to 5 determining parameters: lineaments, lithology, drainage, topography, and rainfall. Lineament, drainage, and topography data were obtained from the Indonesia Geospatial Portal and the Digital Elevation Model (DEM) belonging to the Indonesian Geospatial Information Agency. The lithological data is obtained from data from the Geological Survey Centre, Geological Agency, Ministry of Energy, and Mineral Resources in the form of Geological Maps of Remote Sensing Image Interpretation Results. Rainfall data were obtained from reports from the Serayu Opak River Basin Office and the Public Works, Housing, and Energy Department of Mineral Resources Yogyakarta Special Region. The evaluation of parameters reveals that even in the scarce groundwater zones, estimation of area with possible of groundwater can be classified into five classes of groundwater potential index, namely: very low (<56.25), low (56.25-90), medium (90-123.75), high (123.75-157.5), and very high (> 157.5). In the next step of research the validation may be conducted on a high and very high GPI value whether their are really is associated with the presence of springs and wells. If it is correlated, future exploration of groundwater in this area will be focused and successful.

Evaluation of the Accuracy of Spatial Data in Detecting the Rate of Land Change in Sinjai District

Aerial photo interpretation can make it easier to detect, identify and delineate the presence of an area so that it can save time and effort and costs to observe directly the area in question. With the presence of satellite images, we can retrieve data from an area without having to visit that area. In this research, the authors use 3 (three) types of satellite image data, namely Landsat 8 satellite image data with an accuracy of 30 meters,. The objectives of this study is to evaluate the rate of accuracy of spatial data in detecting the rate of land change between 2014 and 2019 in Sinjai Regency. This research is closely related to the enumerative induction process (calculation based induction). To find out the level of accuracy of the data from the results of image interpretation, a field check was carried out by taking a sample point of about 20% of the total pixels of 911111 pixels, so that 191 points were obtained which were distribution points for the accuracy test of using image data to evaluate the accuracy level of land cover based on 2019 image data. The overall accuracy test uses the Kappa formula.

Pemanfaatan Citra Landsat 8 untuk Identifikasi Sebaran Vegetasi di Kecamatan Pangandaran

This study aims to determine: (1) the density of vegetation in Pangandaran district. (2)the result of comparison of vegetation density from digital image interpretation using the NDVI transformation with the results of validation. This research was done in pangandaran regency, which is located at coordinates 108º 41 - 1090 East Longitude and 07o 41-07 07 50 South Latitude has an area of up to 61 km². This research was conducted in several stages, namely: (1) the preparation of tools and data, (2) digital data processing, (3) field data collection, and (4) data analysis. Thanks to the density of vegetation can be done quickly by way of digital image interpretation using NDVI (Normalized Difference Vegetation Index) transformation. The purpose of this research is to know the land arrangement in Pangandaran District and for vegetation index of residential area in Pangandaran District. The object of this research is residential area in Pangandaran District. The data used are Landsat Image 8 year 2018. The software used is ENVI 5.1 and ArcGIS 10.3 software. The method used is the classification of land use and the calculation of NDVI in ENVI which then classified based on the range of NDVI index values. The results showed that the density of vegetation in Pangandaran District was dominating classified and as quite dense but it needed a lot of updating of its digital image and data so that the accuracy rate increased between imagery and field data. Vegetation in Pangandaran Subdistrict is mostly dominated by teak, waru, coconut, Chinese petai, goat, santigi, and ketapang. Based on the results of the interpretation accuracy test, obtained an accuracy value for the entire sample of 57% so that the results of image interpretation and field checks regarding vegetation density cannot be accepted because the expected level of interpretation accuracy is 85%, while the accuracy test results get a value of 57%. To get a complete picture of the availability of green open space in Pangandaram Regency, fast and relatively more accurate analysis of high spatial resolution is needed. The satellite imagery used in this study is Landsat 8 Imagery which has never been used in previous studies. Analysis of these images uses a vegetation index / NDVI that can directly distinguish plants from non-plants. The results of this image analysis also produce digital data that can be processed quantitatively for further research purposes.

CHARACTERISTICS OF TEXTURE INDEX OF DAMAGED BUILDINGS USING TIME-SERIES HIGH-RESOLUTION OPTICAL SATELLITE IMAGES

Abstract. A large-scale disaster has occurred due to the earthquake. In particular, 20% of the world's earthquakes with a magnitude of 6 or more occur near Japan. Damage analysis of buildings by image analysis have been effectively carried out using optical high-resolution satellite images and aerial photograph with spatial resolution of about 2 m or less. In this study, the damaged buildings caused by large-scale and continuous earthquakes in Kumamoto, Japan that occurred in April 2016 was selected as a typical example of damaged buildings. For these earthquake event, the applicability of damage distribution of buildings and recovery/restoration status by texture analysis was examined. The applicability of the representative in the dissimilarity texture analysis methods Gray- Level Co-occurrence Matrix (GLCM) method by image interpretation in the case of a large number of collapsed and wrecked buildings in a wide area was assessed. These results suggest that dissimilarity was applicable to the extraction of damaged and removed buildings in the event of such an earthquake. In addition, the analysis results were appropriately evaluated by comparing the field survey results with the image interpretation results of the pan-sharpened image. From these results, we confirmed the effectiveness of texture analysis using time-series high-resolution satellite images in grasping the damaged buildings before and immediately after the disaster and in the restoration situation 1 year after the disaster.

Assessment on erosion risk based on GIS in typical Karst region of Southwest China

ABSTRACT This study evaluates the potential danger of soil erosion with regard to the current poor situation in the typical karst area of Anshun City in Guizhou Province (China) and provides a reference for the prevention and control of soil erosion in karst areas. The criteria of the Standards for classification and gradation of soil erosion and Techniques standard for comprehensive control of soil erosion and water loss in karst area in non-karst and karst areas, respectively, GIS, and high-resolution remote sensing image interpretation results of land use are used to explain the intensity of soil erosion and soil loss tolerance. Results show that soil erosion rate calculated by different standards in the karst area is consistent with the monitoring value. The average erosion modulus of Guizhou Anshun is 446.83 t/(km2·a), the soil erosion area is 2,861.01 km2 with a ratio of 30.9%, the soil erosion potential danger index (SEPDI) value is relatively small and mainly includes free- and light-danger types, and the average SEPDI value is 1.7. The soil erosion control project of Anshun City can range according to the SEPDI level of villages, which can be comprehensively managed from high to low. Soil erosion prevention and control in karst areas should use SEPDI as the core indicator rather than soil erosion intensity grade.

Pengaruh Perkembangan Wilayah Pinggiran Kota Yogyakarta terhadap Perkembangan Desa Wisata Tanjung, Desa Donoharjo, Kecamatan Ngaglik, Kabupaten Sleman

Tanjung Tourism Village is one of the tourist villages in the suburbs of Yogyakarta. The village is traversed by the Palagan Tentara Pelajar street which is the main road connecting Tanjung Tourism Village with the City of Yogyakarta. Palagan Tentara Pelajar street is now increasingly showing urban traits with lots of land being built that are used for trade, industry, services, and settlements. The existence of this case Tanjung Tourism Village is vulnerable to the development of the surrounding region. The research aims to analyze the development factors of the urban area which influenced the development of Tanjung Tourism Village. The approach used is a quantitative approach with 35 land polygons that are converted into built-up land from the results of image interpretation. The results showed that the development factors of urban areas affected the development of Tanjung Tourism Village namely: internal factors in the form of (1) community economic factors and (2) kinship social factors and external factors in the form (1) low land prices in Tanjung Tourism Village, ( 2) strategic location and easy accessibility, (3) proximity to the workplace, and (4) proximity to the center of activity.

ANALISIS TINGKAT KERUSAKAN DAN VALUASI EKONOMI HUTAN MANGROVE DI PERAIRAN PANTAI DESA NISOMBALIA KECAMATAN MARUSU KABUPATEN MAROS

This study aimed to analyze the potential of mangrove resources in the study area, analyze the damage to mangrove forests in the study area, and formulate management strategies in the research area that repair mangrove damage. The method used in this study is the analysis of the level of damage based on a direct survey of mangrove conditions, interpretation of Landsat 8 imagery for changes in mangrove cover area, interviews and questionnaires for mangrove economic valuations and SWOT analysis for strategic direction directives. results obtained from mangrove conditions for Rhizopora apiculata showed the highest percentage of closure was 57.81%. The results of image interpretation also showed a reduction and additional area from 2015 to 2019 and for the total economic value in the village of Nisombalia at the time of the study amounted to 35,442,557,718 Million Rupiah. There are 2 directions of mangrove ecosystem rehabilitation strategies which are the main priorities in Nisombalia Village, namely: 1) Restoring mangrove functions in accordance with the ecological rehabilitation space pattern, 2) procurement of mangrove cultivation facilities (nurseries and seedlings) which are managed directly by the community.

ANALISIS SUMBER-SUMBER AIR PADA DAERAH ALIRAN SUNGAI (DAS) KARAJAE DALAM MENUNJANG KETERSEDIAN AIR BAKU KOTA PARE-PARE

This study aims to (1) Determine land cover in the Karajae watershed area. (2) Identifying the Location of Water Sources through Soil Analysis of Water Assessment Tools (SWAT). (3) Make a map describing the unit of land available and the location of the water source in the Karajae watershed. This research was conduct in the Karajae Watershed from July to September 2017. Primary data is obtained directly through the interpretation of satellite imagery to make land cover maps. Retrieval of data on land cover in the field doing by adjusting the classification of land cover in the field with the results of the interpretation of satellite imagery purposively base on accessibility. Secondary data is data covering the general condition of the research location obtained from the study of literature and other data related to research. The secondary data includes the DAS Boundary Map, River Network Map, DEM 30m Aster, 2016 Land Closure Map, Soil Type Map, Climate Data. This study used the SWAT model. The results obtained from this study are the 2016 Landsat Image Interpretation Results 2016 and the Karajae watershed field check results. There are 11 types of land cover which are dominated by dryland agriculture with a percentage of land area of 35.1% followed by shrubland cover with an area of 17.0% and bush mixed dryland agriculture with a percentage of the area of 12.5% and low-density dryland forest with a percentage of the area by 12.2%. Land cover has the smallest percentage of area, namely ponds by 0.2%. The results of SWAT analysis identification obtained 17 sub-watersheds as water sources that have high water availability, spread in three districts, namely Sidenreng Rappang, Barru District and Pare-Pare City. The results of the classification of water availability values in 17 sub-watersheds that have high water availability values, namely the western Bacukiki sub-watershed, located in the City of Pare-pare where the sub-watershed covers 4 villages namely new Bojo, Bumi Harapan, Lumpue, Wattang Bacukiki with the availability value water of 133,952,197.80 m3.

Detection of Development and Density Urban Build-Up Area with Satellite Image Overlay

The growth dynamics of urban areas and the increase in land requirements are a series of each other influence each other The method used in this study is a quantitative method through spatial analysis using Geographic Information Systems. The purpose of this study was to see the extent to which the development of urban areas using the Urban Index (UI) method. Data analysis carried out by overlapping techniques using a map of the built area of Land Use in 2013 and the results of image interpretation for the built area in 2017. The results of the study showed that there was a percentage increase in the built area from 2013 to 2017 of 12.67%. Then from the total area of Makassar City, around 60.72% of the area built in 2013, and there was a significant increase in 2017 to 76.30%. The process of expansion of built-up land without control often impacts on the loss of land that has ecological functions and then impacts on the emergence of environmental problems. One of the things that can be done to prevent the adverse effects of the development of built land is to monitor and predict its development so that solutions can found before the adverse effects occur.

Evaluation of Petrophysical Properties Using Imaging Techniques

The petrophysics science is concerned with the study and characterization of oil and gas reservoirs for the hydrocarbon potential availability and productivity through the quantitative of rock properties. Porosity is one of the most important property in petrophysics. Estimation of porosity values are classified into two techniques, direct and indirect methods. The direct method has been used to estimate the porosity from core analysis, because the well log records are considered as indirect technique, which depend on the measurments of the physical features related with the porosity values. In this study two methods are used to evaluate the porosity of carbonate reservoir. The first one has been applied to the well logging interpretation, while the second method uses imaging technique interpretation based on core slides. The result of the second method shows a more accurate results of porosity in comparison with first method. The porosity values are varied from 2% to 3% by using Neutron log, while the density and sonic logs recorded about 9%. The optical image results of the porosity are ranging from 6.2% to 19.1% at 40 X magnifications, and from 1.8% to 4.6% at 100X. The SEM image interpretation results are: 12.2%, 10.4, % 4.1%, 5.9% at 400X, 1.99KX, 5.01KX, and 10KX respectively. Finally, the results showed that accuracy of porosity values depends on the examined area of sample that the area of sample is changing with the magnification of microscopes types.

ANALISIS PERUBAHAN GARIS PANTAI DAN STRATEGI PENGELOLAANNYA DI PANTAI BARAT SULAWESI SELATAN

This study aims to: (1) analyze changes in coastlines that experience accretion and coastal abrasion; (2) analyze oceanographic factors that influence changes in coastline; (3) formulate direction of management strategies in the research areas that experience accretion and abrasion. In addition, it is expected to be able to provide information to stakeholders as a material consideration in taking the policy of managing the coastal areas of Pangkep and Pinrang Regencies. The method used in this study is analysis of shoreline changes based on survey and mapping methods, interpretation of SPOT 6 images for shoreline changes and SWOT analysis for strategy direction determination. The results of image interpretation show that the extent of shoreline changes that occurred in Pangkep Regency amounted to 38.74 Ha in the form of accretion and 13.99 Ha in the form of abrasion, whereas for Pinrang Regency the extent of shoreline change was 158.15 Ha which experienced accretion and 41.88 Ha in the form of abrasion. The results of the Coastal Coastal Management Strategy analysis based on the results of the analysis carried out there are 4 things that become tactical decisions for recommendations in coastal management efforts, namely; make special areas for coastal security and coastal conservation naturally; law enforcement and institutional strengthening; provide special allocation of space for safeguards and coastal protection; improving the quality of human resources around the coast.