Aplikasi Penginderaan Jauh untuk Identifikasi Degradasi Lahan Akibat Pertanian Hortikultura di Sebagian Kecamatan Garung

Degradasi lahan merupakan salah satu penyebab erosi. Degradasi lahan bisa diidentifikasi dengan penginderaan jauh. Degradasi lahan terjadi karena eksploitasi lahan pertanian. Tujuan dari penelitian ini adalah untuk menentukan akurasi penginderaan jauh dan menentukan tingkat degradasi lahan. Kecamatan Garung merupakan daerah yang digunakan sebagai daerah pertanian hortikultura, sehingga berpotensi mengalami degradasi. Penginderaan jauh dapat digunakan untuk memperoleh parameter peneybab degradasi lahan seperti tekstur tanah, kemiringan, erosi dan teknik konservasi mekanik. Citra yang digunakan untuk identifikasi parameter ini yaitu SPOT 7 dan Pleiades. Nilai akurasi penginderaan jauh untuk parameter teknik konservasi mekanik adalah 80 persen, nilai kemiringan adalah 72 persen dan nilai tekstur tanah adalah 84 persen. Hasil akhir menunjukkan bahwa degradasi lahan adalah kelas dominan agak ringan

LAND USE/COVER CHANGE ON POTENTIAL LOSS OF SUMATRAN TIGERS IN KERINCI SEBLAT NATIONAL PARK BASED ON REMOTE SENSING DATA

The Sumatran tiger is an animal whose life is threatened due to land use changes and human activities. This study described the correlations between land cover/use change and the potential loss of Sumatran tigers in Kerinci Seblat National Park (KSNP) based on remote sensing data. Remote sensing technology was used due to the good historical data, and it can be used for land cover change analysis. The results of the land change analysis can be used to the analysis of the changes in the suitability level of the Sumatran tiger habitat. The analysis of land change in 2000 and 2020 with the random forest classification method and changes in the level of suitability of the Sumatran Tiger habitat has been carried out. The results of the analysis of land cover/use changes showed a very significant reduction in the area of primary forest, namely 282.58 km2, while the increase in the area of plantations and secondary forests was 186.52 km2 and 101.68 km2. This change affects the suitability level of the Sumatran tiger habitat from a very suitable level decreased from 164.42 km2 to suitable and not suitable. The declining suitability level class indicated the potential loss of Sumatran tigers in the Kerinci Seblat National Park. The increasing of plantation and settlement areas will increase the activity of humans. The conflict of human activity with Sumatran tigers’ life will impact the loss of Sumatran Tigers in KSN

UTILIZATION OF SPOT 6/7 AND LANDSAT TO ANALYZE OPEN GREEN SPACE AND BUILT AREA IN SURABAYA CITY

The migration of people from rural to urban areas is a common phenomenon nowadays. One of the goals of urbanization is in the city of Surabaya. The increase in population causes the need for housing and the need for life to increase. One of the many changes in land use is the change of land into built-up land. The increase in the area of built-up land currently raises a new phenomenon where the area of open space is reduced due to changes in land use, one of the changes in land use is from green open space to built-up land. This study aims to see the extent to which the growth trend of green open space and built-up land in the city of Surabaya by using the NDVI method to see the trend of changes in green open space in the city of Surabaya and NDBI for the land built in the city of Surabaya. The data used in this study are SPOT 7 images for green open space and Landsat 8 for built land. Based on this method, green open space in the city of Surabaya in 2015 was 29.19%, in 2016 it was 21.22%, then in 2017 it was 24.54 %, and in 2018 it was 27.60%. While for Built land in 2015, it was 26.43%, in 2016 it was 26.44%, in 2017 it was 30.99% and in 2018 it was 42.88%. Other results were also obtained for the change of green open space into the land. awakened has increased every year, namely from 2015 to 2016 by 2.67%, from 2016 to 2017 by 4.43%, and from 2017 to 2018 by 8.08%. As for the land built into green open space, namely 2015 to 2016 of 2.01%, 2016 to 2017 of 2.84%, 2017 to 2018 of 2.72%. The conclusion from this activity is that NDVI can be used to see the level of vegetation density which can indicate the existence of green open space in urban areas. And NDBI can show the existence of built-up land. The city of Surabaya, has stable green open space, while the built land continues to increase every year

APLIKASI PENGINDERAAN JAUH UNTUK IDENTIFIKASI DEGRADASI LAHAN AKIBAT PERTANIAN HORTIKULTURA DI SEBAGIAN KECAMATAN GARUNG

Degradasi lahan merupakan salah satu penyebab erosi. Degradasi lahan bisa diidentifikasi dengan penginderaan jauh. Degradasi lahan terjadi karena eksploitasi lahan pertanian. Tujuan dari penelitian ini adalah untuk menentukan akurasi penginderaan jauh dan menentukan tingkat degradasi lahan. Kecamatan Garung merupakan daerah yang digunakan sebagai daerah pertanian hortikultura, sehingga berpotensi mengalami degradasi. Penginderaan jauh dapat digunakan untuk memperoleh parameter peneybab degradasi lahan seperti tekstur tanah, kemiringan, erosi dan teknik konservasi mekanik. Citra yang digunakan untuk identifikasi parameter ini yaitu SPOT 7 dan Pleiades. Nilai akurasi penginderaan jauh untuk parameter teknik konservasi mekanik adalah 80 persen, nilai kemiringan adalah 72 persen dan nilai tekstur tanah adalah 84 persen. Hasil akhir menunjukkan bahwa degradasi lahan adalah kelas dominan agak ringan

Study of Towing Lug Strength in 300 feet Barge at Docking Process

Currently, the docking of ships or barges has been dominated by the airbag system by relying on the pull of the winch. For the Kalimantan area, the barge is generally pulled using a winch during docking. The structures that play a role when pulling the barge are towing brackets, slings, pulleys, and winches. In this paper, the towing lug will be the object of special discussion regarding its structural strength performance. The towing Lug model used when towing is in the form of an asymmetrical lobe. Two towing brackets are placed on the left and right sides of the bow barge. This towing lug sometimes damaged during towing, so it is necessary to simulate the strength of the towing lug using the finite element method (FEM). A 300 feet Barge is simulated with a total weight (W) of 1200 Tons. The towing lug design structure is made with 3 kinds of models with a varying number of layers and plate thickness. The towing lug design sample used in the existing shipyard is called model 1. While the other modifications to the 2 towing lug structures are called model 2 and model 3. Towing brackets are simulated using a computer with the help of Ansys software. The towing bracket's tensile angle is also varied to obtain a more attractive strength value. The variations of the pull angles used in this simulation are 80°, 83°, 85°, 87° and 90°. From the simulation results, it is obtained that the deformation values in each model show an insignificant level of change. In general, the simulation results also show stress values for each variation that tend to be safe and can be applied when the barge is towed to the dry dock. All equivalent stress values in each condition are still below the material yield stress. However, among the various simulations there are 2 types of conditions that experience stress values that exceed the class allowable stres

Application Of E-Module and Video Tutorials to Student Learning Motivation and Learning Effectiveness In Physical Education, Sports, And Health

This study aims to develop an online and offline-based small ball learning electronic module to perfect the PJOK learning design needed today. The subjects of this study were junior high school (SMP) PJOK teachers in the Surabaya area. The research method used is mixed methods. The research phase consists of designing a training model, selecting samples purposively, conducting training, facilitating the development of small-ball electronic modules, monitoring the implementation of training products, and assessing student motivation. The results of this study can help PJOK SMP teachers improve their competence in digital literacy so that the quality of their learning becomes more improved, not only practical but also efficient and exciting. 21 junior high school PJOK teachers and 58 junior high school students were involved in this study. 100% of teachers said they needed training in developing e-modules and video tutorials for physical education learning. The 21 PJOK teachers who participated in the movement gave an excellent assessment of the activity carried out and have been able to develop an electronic module complete with video tutorials. 99.9% of students stated that they were very motivated in learning and involved in PJOK learning after using the electronic module from the teacher

Current land subsidence in Jakarta: a multi-track SBAS InSAR analysis during 2017–2022 using C-band SAR data

In Jakarta, Indonesia, rapid urbanization and intensive groundwater extraction have led to significant land subsidence, posing challenges for sustainable urban management. This study utilized Interferometry Synthetic Aperture Radar (InSAR) integrated with multi-track data analysis to generate refined time-series and velocities of 2D displacement across Greater Jakarta. This study reveals notable variation in subsidence rates across different areas, with the most significant subsidence observed in Cikarang and the coastal regions of North Jakarta, which remains linear to this day. Notably, while the 2D approach improved accuracy by up to 53% at some locations, discrepancies at others indicated that simpler descending projections might sometimes yield better results. This underscores the necessity for a nuanced application of geodetic methods based on specific site conditions to effectively monitor and manage land subsidence in complex urban environments. Our findings highlight the critical importance of integrating multiple monitoring approaches to comprehensively address both vertical and horizontal displacement

AUTOMATION OF DAILY LANDSLIDE POTENTIAL INFORMATION BASED ON REMOTE SENSING SATELLITE IMAGERY USING OPEN-SOURCE SOFTWARE TECHNOLOGY

This automation system automatically generated landslide potential information based on daily precipitation data. This system is essential to replace the previous manual processing system with an automated and integrated system. The results of the developed system are the distribution of areas with landslide potential based on daily precipitation data. The system was built using geographic information systems and web service techniques. This allows the automation process to be performed quickly and accurately. The landslide susceptibility map used is from the National Disaster Management Agency, so the information is more reliable. Himawari-8 is used to determine the potential for extreme precipitation in 10 minutes because this satellite has a very high temporal resolution. The system is already in use and has proven to replace manual processing and is faster. Further development will be more challenging if the system can be connected to the sensors installed on site so that the sensors on site can issue a landslide warning in case of extreme precipitation so that the surrounding communities can respond immediately. Opportunities for future development of the system may also be incorporated into landslide potential prediction based on the precipitation forecast mode

Machine Learning-Based Local Knowledge Approach to Mapping Urban Slums in Bandung City, Indonesia

Rapid urban population growth in Bandung City has led to the development of slums due to inadequate housing facilities and urban planning. However, it remains unclear how these slums are distributed and evolve spatially and temporally. Therefore, it is necessary to map their distribution and trends effectively. This study aimed to classify slum areas in Bandung City using a machine learning-based local knowledge approach; this classification exercise contributes towards Sustainable Development Goal 11 related to sustainable cities and communities. The methods included settlement and commercial/industrial classification from 2021 SPOT-6 satellite data by the Random Forest classifier. A knowledge-based classifier was used to derive slum and non-slum settlements from the settlement and commercial/industrial classification, as well as railway, river, and road buffering. Our findings indicate that these methods achieved an overall accuracy of 82%. The producer’s accuracy for slum areas was 70%, while the associated user’s accuracy was 92%. Meanwhile, the Kappa coefficient was 0.63. These findings suggest that local knowledge could be a potent option in the machine learning algorithm

Dynamic Geo-Visualization of Urban Land Subsidence and Land Cover Data Using PS-InSAR and Google Earth Engine (GEE) for Spatial Planning Assessment

The North Java coastal area, known as the Pantura region, is experiencing significant land subsidence, with certain areas sinking up to 10 cm per year. Pekalongan is among the most affected, with subsidence rates between 10 and 19 cm annually, mainly due to groundwater extraction, sediment compaction, and coastal erosion. Other coastal cities, like Semarang and Demak, show rates averaging 4 to 10 cm per year. This rapid subsidence is due to favorable geological conditions and ongoing urban development. This study investigates land subsidence in Pekalongan using the PS-InSAR method and dynamic visualization of time-series land cover data. PS-InSAR was applied to 45 scenes from ALOS-2 PALSAR-2 to monitor subsidence from 2014 to 2022. The results were validated with in situ subsidence benchmarks. Urban development dynamics were analyzed through land cover and land use change (LULC) and population density over the same period, using the GLC_FCS30D dataset in the GEE to detect non-natural LULC. The PS-InSAR results indicated that over 60.9% of investigation points experienced subsidence, up to 100 cm between 2014 and 2022. Ground validation showed an 83% agreement with PS-InSAR results. A statistical analysis of LULC from 2014 to 2022 did not show significant built-up area development, but the extension of salt marshes and water bodies indicated subsidence expansion. The population density reached 6873 people per square km by 2022, causing extensive groundwater use for domestic and industrial purposes, further aggravating the subsidence