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All Journal Indonesian Journal of Geography IPTEK The Journal for Technology and Science Jurnal Kelautan : Indonesian Journal of Marine Science and Technology KERN JURNAL SIPIL SAINS JURNAL ILMIAH GEOMATIKA Jurnal Aplikasi Teknik Sipil Jambura Journal of Mathematics Jurnal Teknik Sipil International Journal of Science, Engineering and Information Technology jurnal syntax admiration Nusantara Science and Technology Proceedings Journal of Civil Engineering Science & Technology (CI-TECH) KERN : Jurnal Ilmiah Teknik Sipil Envirotek : Jurnal Ilmiah Teknik Lingkungan Makara Journal of Technology Aceh International Journal of Science and Technology Applied Engineering and Technology
Hendrata Wibisana
Departement Of Civil Engineering, University Of UPN Veteran Jawa Timur, Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Transportation

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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
The Mathematics Model Analysis of Distribution Concentration of Total Suspended Solid in Gresik Coastal Coast with Landsat 8 Satellite Imagery Hendrata Wibisana; Novie Handajani; Primasari Cahya Wardhani
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Total suspended solid is one of the useful parameters to detect the turbidity level that occurs in the body of water. The concentration distribution from total suspended solid is an activity that is quite interesting to study especially in the coastal areas, knowing the distribution value of total suspended solids, it is possible to know the change of ecosystem. The Ujung Pangkah Gresik is an area chosen as an example to determine the distribution concentration of total suspended solid value by making an appropriate mathematical model that can imagine the condition of the body of water in that coastal area. Thus, the purpose of this study was to investigate the mathematics model analysis to imagine the distribution concentration of total suspended solids. The method to model this is by remote sensing that was used in Landsat 8 satellite imagery. In addition, this study used the remote sensing method on the visible light canal (red, green, and blue) to determine the mathematics model analysis of total suspended concentration distribution. The result showed that there was red canal has significant image result compared to another visible canal. The red canal result showed the mathematics model exponential with correlation value R 0.873 has a significant effect to image the total suspended solids concentration distribution. This study concludes that Landsat 8 satellite image can quite effectively and accurately be used to map the distribution of total suspended solid especially in the shallow water environment adjacent to ponds and estuary.
Analysis of Changes in Sea Surface Temperature During 2017-2021 at The Coast of Ujung Pangkah Gresik with Landsat 8 Satellite Image Data Hendrata Wibisana; Zetta Rasullia Kamandang; Kartini
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.2022.2455

Abstract

Changes in sea surface temperature play an important role in climate change that occurs especially in coastal areas such as Ujung Pangkah Gresik. Changes that occur on the coast will affect the lives of people in the area, and these changes will result in anomalies in climate change and other natural phenomena. The purpose of this study is to find changes in Sea Surface Temperature for 5 years to find the right formula for modeling the impact of these changes, which can be overcome in the future. The method developed here is remote sensing technology with Landsat 8 satellite imagery data to extract the digital number value which is converted into a reflectance value to then look for the optimal mathematical model algorithm with parameters of changes in sea surface temperature. The result of this research is that the wavelength of the red channel is the wavelength that can provide the most optimal results compared to the blue channel, the green channel, and the IR channel. From these wavelengths, an exponential mathematical model and a power model are generated which have the best correlation values among several other calculated models. From this study, it can be concluded that Landsat 8 satellite imagery can provide an overview of changes in sea surface temperature on the coast, especially for shallow waters such as Ujung Pangkah Gresik, so that in the future it can be used as an alternative in decision making in coastal management.
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.
Pemetaan Kecepatan dan Kerapatan Lalu Lintas di Ruas Jalan Arteri Kota Surabaya Hendrata Wibisana; Nugroho Utono
Jurnal Teknik Sipil Vol 12 No 2 (2016): Jurnal Teknik Sipil
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (963.565 KB) | DOI: 10.28932/jts.v12i2.1420

Abstract

Kecepatan kendaraan dan kerapatan lalu lintas yang ada pada berbagai jalan arteri di kota besarseperti Surabaya memiliki karakteristik yang dapat dipelajari dari sifat pergerakan kendaraan yangada dengan menggunakan alat bantu model matematis yang menyatakan hubungan kecepatan, aruslalu lintas dan kepadatan. Nilai dari model matematis yang diperoleh dari pengamatan datalapangan dapat dijadikan bahan masukan untuk perencanaan pergerakan dan pemasangan rambulalu lintas lebih lanjut. Kota Surabaya yang banyak memiliki ruas jalan arteri baik tingkat 1 atau 2akan lebih efektif dan efisien dalam pengelolaannya apabila dalam satu kesatuan waktu nilaikepadatan jalan dapat diinfokan secara simultan, untuk itu dalam penelitian ini digunakan sisteminformasi geografis berbasis data koordinat lapangan. Hasil dari penelitian ini diperoleh jalanDiponegoro memiliki kecepatan arus bebas yang terbesar 58,4 km/jam sedangkan jalan Banyu uripmemiliki tingkat kepadatan saat arus jenuh yang terbesar 620 smp/km, sedangkan dari hasil ujiAnova untuk rata-rata dan varians dari kecepatan kendaraan dan volume lalu lintas, ada perbedaanyang cukup signifikan dari volume dan kecepatan rata-rata tiap ruas jalan arteri yang ditelitidengan tingkat keyakinan 95% atau alpha 5%. Pemetaan berbasis koordinat geografis dapatdilakukan dengan memberikan nilai informasi yang cukup efisien dari model karakteristikbeberapa ruas jalan arteri yang tersebar di kota Surabaya.
Deteksi Temperatur Permukaan Tanah di Ruas Jalan Artery dengan Citra Landsat 8 dan Korelasinya dengan Arus dan Kepadatan Lalu Lintas Hendrata Wibisana; Siti Zainab; Fithrie Estikhamah
Jurnal Teknik Sipil Vol 13 No 2 (2017): Jurnal Teknik Sipil
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (985.099 KB) | DOI: 10.28932/jts.v13i2.1440

Abstract

Jalan raya merupakan prasarana yang dibangun sebagai tempat bagi manusia dan barang untukmelakukan perpindahan dari satu tempat ke tempat yang lain. Jalan arteri merupakan jalan denganjumlah volume lalu lintas yang tinggi, sehingga dengan jumlah volume yang tinggi makakepadatan per satuan kilometer menjadi besar dan rawan untuk terjadinya polusi gas buangkendaraan yang tersebar sepanjang ruas jalan tersebut. Terjadinya polusi gas buang disamping daripanas mesin kendaraan bermotor akan membuat udara disekitar menjadi tidak stabil. Adakecenderungan suhu permukaan tanah meningkat akibat peningkatan jumlah kendaraan. Denganbantuan teknologi penginderaan jauh, hendak dicari hubungan antara nilai temperatur permukaantanah yang diperoleh dari ekstrak nilai radians citra satelit dengan volume lalu lintas sertakepadatan kendaraan yang terjadi. Dan dari hasil perhitungan dengan mengambil nilai volumekendaraan dan kepadatan kendaraan sebagai variabel independent dan nilai temperatur permukaantanah sebagai variabel dependent maka diperoleh algoritma hubungan antara karakteristik suaturuas jalan dengan temperatur dari citra satelit.
ANALISA ALGORITMA DAN KARAKTERISTIK KECEPATAN KENDARAAN DI RUAS JALAN ARTERI KOTA SURABAYA Afifah Ajeng; Vicky Agustin; Hendrata Wibisana
Jurnal Teknik Sipil Vol 15 No 2 (2019): Jurnal Teknik Sipil
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jts.v15i2.1802

Abstract

Vehicle speed is one of the parameters used to detect the characteristics of traffic on a road segment. Vehicle speed is a variable that determines the level of road service as well as the value of the comparison between traffic flow and vehicle density on the road section under study. This study aims to develop an appropriate algorithm that can describe the situation on the arterial road Ir. H. Soekarno about the speed of vehicles passing in it. The method used in this study is polynomial regression with vehicle speed as a dependent variable and the measurement time as a independent variable. The model is said to be good and can be represented by looking at the correlation value R2 that is in each calculated model. The results obtained from this study are that the relationship between vehicle speed and measurement time has the best results on the polynomial model level 7 for measurements in the morning and evening with the same polynomial model. This shows that the graph of the velocity of time is not linear but is a polynomial function. From this research, it can be concluded that the Ir.H.Soekarno road section has varied vehicle speed characteristics and the appropriate mathematical model algorithm is the 6th polynomial model with R2 correlation value of 0.88
PEMETAAN INDEKS TINGKAT PELAYANAN JALAN PONOKAWAN SAMPAI JALAN MAYJEN BAMBANG YUWONO KRIAN KABUPATEN SIDOARJO DENGAN METODE LINIER Sarra Amanda Sinaga; Siti Zainab; Hendrata Wibisana
Jurnal Teknik Sipil Vol 17 No 2 (2021): Jurnal Teknik Sipil
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jts.v17i2.2488

Abstract

The development of West Sidoarjo especially at Krian city has a major influence on the growth of suburban areas. By increasing the number and activity of the population, transportation is one of the principal parts that cannot be separated from the activity. This leads to quite complex traffic problems, especially traffic density problems. This research was conducted to analyze the Service Level Index (ITP) with linear regression method on Jalan Ponokawan until Jalan Mayjend Bambang Yuwono Krian. The survey was conducted in the morning (07.00-09.00), afternoon (12.00-14.00), and evening (16.00-18.00) to analyze the calculation of traffic volume, road capacity, and the speed of the free flow by using Manual Kapasitas Jalan Indonesia (MKJI) 1997. The Geographic Information System (GIS) can help to provide information on road service level index analysis in the form of thematic maps that are easy to understand. From the results of data analysis, a service level index (a) is calculated on each segment using linear regression method and the result of segment I is 0,093, segment II is 0.141, segment III is 0.074, segment IV is 0.210, segment V is 0.130, segment VI is 0.109, and segment VII is 0.113.
Co-Authors Afifah Ajeng Ahna Mayhella Putri Anna Rumintang Ardianto, Eric Arga Erditya Herdirinanda Aryaseta, Bagas Arzalia Novia Putri Aulia Azizah Bagas Aryaseta Bangun Muljo Soekotjo Bangun Muljo Sukojo, Bangun Muljo Decynthia Wibowo Dian Purnamawati Solin Dicky Firmansyah Dyah Ayu Kusumaningtyas Euis Nurul Hidayah Farihatul Islamiyah Femmy Kindanti Fithri Estikhamah Fithrie E Handajani, Novie Kamal - Fikkri Kartini Kustarto, Hendro Kustarto, Hendro Lamento Umbro Leontius Barbarigo Dam M. Khadik Asrori Masliyah Masliyah M Maulana Yusuf Muhammad Fahmi Izzatur Rahman Muhammad Hafidz Sarimun Putra Muhammad Rusdi Nugroho Utomo Nugroho Utono Primasari Cahya Wardhani Primasari Cahya Wardhani Primasari Cahya Wardhani Raditya Agil Rifqi Hanan Sarra Amanda Sinaga Sholichin, Ibnu Siti Zainab Siti Zainab Siti Zainab, Siti Sukotjo B. M Sukotjo, Bangun Muljo Umboro Lasminto Vicky Agustin Zetta R. Kamandang Zetta R. Kamandang Zetta Rasullia Kamandang Zetta Rasullia Kamandang