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All Journal IPTEK The Journal for Technology and Science KERN Jurnal Aplikasi Teknik Sipil Journal on Education Nusantara Science and Technology Proceedings Journal of Civil Engineering Science & Technology (CI-TECH) KERN : Jurnal Ilmiah Teknik Sipil Aceh International Journal of Science and Technology Innovative: Journal Of Social Science Research Jurnal Teknik Sipil
Siti Zainab
Departement Of Civil Engineering, University Of UPN Veteran Jawa Timur, Surabaya
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Public Health Transportation Other

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Journal : Nusantara Science and Technology Proceedings

 1 
Mapping Sea Surface Temperature and Its Correlation with The Acidity of Sea Water on the Coast of Kwanyar Madura Island Siti Zainab; Novie Handajani; Hendrata Wibisana
Nusantara Science and Technology Proceedings 4th International Seminar of Research Month
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2019.0472

Abstract

Sea surface temperature is one parameter to determine the condition of the ecosystem of a waters, besides that there are other parameters, namely the acidity of sea water which is a number that indicates the degree of an ac id and base of the aquatic environment, where generally the coastal environment has an acidity value below 8 so that changes from this value will disrupt life as a whole for the coastal environment. The purpose of this study is to find a mathematical model of SST and pH that can describe the situation of the coastal area, where as a case study is the Kwanyar coast in Bangkalan district, Madura Island. The method developed here is the least square method to find the optimum mathematical model of these parameters, in addition to that by calculating the algorithm of several channels of visible wavelengths owned by Aqua Modis images which are 412 nm, 531 nm and 667 nm. The results obtained from this study are for the optimum wavelength of sea surface temperature is 667 nm while for pH is 531 nm. From the statistical analysis for the t-test carried out, the results showed no significant correlation between sea surface temperature with a pH value where both parameters showed a statistically low correlation value with an error rate of 5% and the existing Pearson correlation test equipment. The conclusion is that for the Kwanyar Bangkalan coastline the temperature is still in the normal threshold as well as the existing pH value, only these two parameters cannot be stated as a causal relationship, where the temperature rise will have an impact on pH changes and vice versa.
Analysis of Sea Surface Temperature and Its Correlation with Changes in Coastlines Using Landsat 8 Satellite Image Data (Case Study: Ujung Pangkah Gresik) Hendrata Wibisana; Zetta R. Kamandang; Siti Zainab
Nusantara Science and Technology Proceedings 1st International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2020.0508

Abstract

Changes in the coastline are a natural phenomenon that often occurs on various coasts where this event has a further effect in the form of sedimentation and erosion along the coast. As a result of this phenomenon, the coast is said to be dynamic towards the various changes that occur, and one of them is the change in sea surface temperature. The purpose of this research is to find a correlation of changes in sea surface temperature to changes in the existing shoreline on the coast of Ujung Pangkah Gresik in addition to calculating the speed of change of the coastline. The method used is the use of remote sensing technology to analyze sea surface temperature and geographic information systems to analyze changes in coastlines. The results obtained from this study are changes in sea surface temperature statistically affect changes in coastlines with an error rate of 5% at the 20 measured observation points. The model used in sea surface temperature is a linear model with an R-value of 0.783, and the change in the coastline at Ujung Pangkah Gresik is 153 meters per year measured between 2019 and 2020. The conclusion obtained from this study is that the increase in sea surface temperature will affect climate change on the coast and will ultimately affect changes in the coastline.
Analysis and Mapping of Changes in Salinity Concentration Influence by Acidity Value in Kwanyar Coastal, Bangkalan Madura District Siti Zainab; Novie Handajani; Hendrata Wibisana
Nusantara Science and Technology Proceedings 1st International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2020.0519

Abstract

Kwanyar in Bangkalan Madura district is an area that is not very fertile, the soil contains limestone and the coastal areas of the coast are the result of reclamation for several years. Thus, what used to be water areas turn into land. The purpose of this research is to map and analyze the effect of changes in acidity values on the coast with changes in salinity values that accompany them so that the most suitable mathematical model can be found to describe the coastal conditions of the Kwanyar area. The method developed to map and analyze is the use of remote sensing technology using Terra MODIS satellite imagery with a pixel resolution of 1 kilometer. The results obtained from a series of measurements carried out are that the most suitable wavelength for salinity mapping is 667 nanometers with an exponential mathematical model. This study concludes that the value of acidity in the aquatic environment is statistically sufficient to influence changes in the concentration of salinity in the Kwanyar area, Bangkalan Madura district
Analysis of Sea Surface Temperature Using Terra Modis Satellite Imagery 2021 Case Study: Ujungpangkah Coastal Gresik Siti Zainab; Hendrata Wibisana; Anna Rumintang Nauli
Nusantara Science and Technology Proceedings International Seminar of Research Month 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2463

Abstract

Sea Surface Temperature (SST) is one of the parameters used to measure water quality. Measurement of Sea Surface Temperature (SST) is based on water and ultimately affects the photosynthesis process in the waters. Too much Sea Surface Temperature (SST) can also reduce the availability of dissolved oxygen in the water. Based on the nature of the data which is composite data and ready to use, the SST data requires a geometric correction step. This study aims to analyze Sea Surface Temperature Using the Terra Modis Satellite Imagery Case Study on the coast of Ujungpangkah Gresik. The equipment needed in this activity is a unit of computer equipment and Seadas 4.7.3 software. Remote sensing is very appropriate to be used as a solution to analyze the Coastal Sea Surface Temperature (SST) Ujungpangkah, Fast, cheap and efficient use of image data has been proven in this activity. The results obtained the distribution of sea surface temperature (SST) in the entire coastal area of Ujungpangkah, Gresik Regency. Identification results show a range between 29.18 o C - 35.58 o C. Algorithm model of sea surface temperature (SST) Ujungpangkah coastal area, Gresik Regency y = 543.31x + 29.827 and the degree of determination R² = 0.3911 obtained from the wavelength/reflection Rrs_667. Hypothesis test re- results, the t-test gives the results t stat / t count < critical t / t table or 0.000499432 < 0.499803359 means: that the inside temperature is the same as the 2021 satellite image temperature. In other words, there is no difference between the inside temperature and temperature satellite image 2021.
Identification of Flood Distribution Using Sentinel-1 Satellite Images (Case Study: Gresik Regency) Siti Zainab; Novie Handajani; Hendrata Wibisana
Nusantara Science and Technology Proceedings International Seminar of Research Month 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2464

Abstract

Population growth is highly correlated with development activities. Development activities bring changes in land use from one period to the next, bringing relatively high changes, especially changes in land use. Changes in land use that occurs will be a potential for floods, landslides, and prolonged drought if not controlled. It is necessary to do a mapping caused by the impact of the flood disaster, which will later be used as a database which is a regional administration need for land cover information as well as consideration for making a policy for the benefit of the surrounding community. Regional administration needs for land cover information will support planning in an area. Remote sensing is a medium that can monitor the dynamics of land-use change quickly and at a relatively low cost. And by using Sentinel-1 satellite imagery data with the GEE Platform (google earth engine). GEE (google earth engine) is a cloud-based computing platform for performing geospatial analysis, with petabytes of data for scientific analysis and visualization of geospatial data on a global scale. This study aims to identify the distribution of flood areas affected by floods in the Gresik Regency. The results of the study show that the estimated most affected by flooding is the estimated population affected by 6,800,071 Ha. Meanwhile, the next affected area is the Estimated Urban Land of 666,033 Ha. The last estimate affected by the smallest flood is 158,848 hectares of agricultural land. The districts affected by the flood include Cerme, Morowudi, Betatu, Benjeng, Balung Panggang, Gresik Regency.
Acidity (pH) and Dissolved Oxygen Levels as Indicators of Water Quality Around the Tuban Coastal Area Siti Zainab; Novie Handajani; Hendrata Wibisana
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2719

Abstract

The coast of Tuban is a fairly dynamic area, where the lives of fishermen depend on fishing efforts. Ecosystem changes that occur in the coastal area of Tuban greatly affect the fishing effort, where one of the parameters that can be observed is the distribution of oxygen content from water bodies on the coast. The purpose of this study was to analyze and map the distribution of acidity content (pH) and its correlation with dissolved oxygen in the coastal area of Tuban. This is based on the fact that research on the distribution of dissolved oxygen has been carried out by many experts, as well as the acidity value of seawater, there have also been those who have done it, only here that needs to be emphasized, that there have not been many dissolved oxygen studies involving other parameters such as acidity pH.
Analysis of Railway Service Levels Due to Double Track Construction at Sepanjang-Mojokerto Segment Fithri Estikhamah; Siti Zainab; Primasari Cahya Wardhani; Nugroho Utomo; Dian Purnamawati Solin
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4157

Abstract

Railways in Indonesia still show problems, such as time delays. To make train services in Indonesia better, government efforts are needed, one of which is the development of new infrastructure, such as the construction of a double-track train such as Sepanjang to Mojokerto segment. So it is necessary to analyze the level of service both in existing conditions and after construction. The analysis was carried out in two conditions, namely, full single track and full double track. For full double-track reference, a simulation is carried out with an auxiliary program, namely the Railway Operation Simulator (ROS). By entering data in the form of station layouts, train facilities, and signaling systems and blocks. Based on the analysis results, it shows that the double track in the Sepanjang-Mojokerto segment affects the level of service. The prediction of service levels for the Sepanjang-Mojokerto segment shows that three road plots have LoS A. So, overall, with the construction of the double track, this segment is operating below capacity and has low traffic.
Classification of Disaster Risk Areas on Mount Ruang Using Vegetation Index Calculations and Landsat-8 Satellite Imagery Siti Zainab; M. Abhiel Laits Qatadah; Fithri Estikhamah; Minarni Nur Trilita
Nusantara Science and Technology Proceedings 5th International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4511

Abstract

Mount Ruang is located in Tagulandang District, Siau Tagulandang Biaro Islands Regency, North Sulawesi, with an elevation of 725 meters or 2,379 feet, at coordinates 2°18' N / 125°22' E. In April 2024, a significant eruption was re-recorded. Ruang Island is the peak of the volcano rising from the Sulawesi Sea. Most of its inhabitants are farmers, and land use in an area is influenced by population growth and activities. The eruption of Mount Ruang has caused changes in land function. In this study, classification was conducted using the Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI). The data were sourced from Landsat 8 imagery from 2022 to 2024, specifically bands 4 and 5. The results of this study conclude that from 2022 to 2024, the vegetation index calculations were very significant. Classification calculations before and after the eruption showed that the NDVI vegetation index in 2022 and 2023 indicated vegetated land, while in 2024, it indicated non-vegetated land. The SAVI vegetation index identified water bodies such as rivers or seas. It can be concluded that post-eruption, the land around the volcano was non-vegetated and much of the material fell into the sea.
Co-Authors Anna Rumintang Arga Erditya Herdirinanda Aryaseta, Bagas Dian Purnamawati Solin Dicky Firmansyah Dyah Ayu Kusumaningtyas Faishal Evan Fithri Estikhamah Fithri Estikhamah Handajani, Novie Hendrata Wibisana M. Abhiel Laits Qatadah Maulana Yusuf Minarni Nur Trilita Muhammad Fahmi Izzatur Rahman Muhammad Rusdi Muhammad Ubaidillah Nugroho Utomo Rifki Amirullah Rifqi Hanan Riokka Sarra Amanda Sinaga Utomo, Nugroho Yudhistira, Dymas Zetta R. Kamandang Zetta Rasullia Kamandang Zetta Rasullia Kamandang