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All Journal Indonesian Journal of Geography Management of Aquatic Resources Journal (Maquares) IPTEK The Journal for Technology and Science Jurnal Kelautan : Indonesian Journal of Marine Science and Technology KERN Jurnal Ilmiah MITSU (Media Informasi Teknik Sipil Universitas Wiraraja) JURNAL SIPIL SAINS JURNAL ILMIAH GEOMATIKA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Aplikasi Teknik Sipil Jambura Journal of Mathematics International Journal of Science, Engineering and Information Technology jurnal syntax admiration Nusantara Science and Technology Proceedings International Journal of Eco-Innovation in Science and Engineering (IJEISE) International Journal of Engineering, Science and Information Technology Extrapolasi Journal of Civil Engineering Science & Technology (CI-TECH) Jurnal Locus Penelitian dan Pengabdian KERN : Jurnal Ilmiah Teknik Sipil Jurnal Talenta Sipil Envirotek : Jurnal Ilmiah Teknik Lingkungan Makara Journal of Technology Aceh International Journal of Science and Technology Applied Engineering and Technology RESLAJ: Religion Education Social Laa Roiba Journal Journal of Management, Economic, and Financial Journal Serambi Engineering (JSE) Journal of Civil Engineering and Vocational Education International Journal of Industrial Innovation and Mechanical Engineering International Journal of Mechanical, Electrical and Civil Engineering International Journal of Mechanical, Industrial and Control Systems Engineering Jurnal Teknik Sipil Jurnal Abdi Karya Sipil Indonesian Journal of Applied Science and Technology

Hendrata Wibisana

Program Studi Teknik Sipil, Universitas Pembangunan Nasional “Veteran” Jawa Timur

Author-ID : 2268079

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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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

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

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

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

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

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

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.

ANALISA DAN PEMETAAN SUHU PERMUKAAN LAUT DI PESISIR PANTAI UTARA PULAU SUMBA, NUSA TENGGARA TIMUR BERBASIS DATA CITRA SATELIT TERRA MODIS Leontius Barbarigo Dam; Hendrata Wibisana; Siti Zainab
KERN Vol 5 No 2 (2019): Jurnal KERN : Oktober 2019
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Pembangunan Nasional "Veteran" Jawa Timur

Pemanfaatan sumber daya alam yang semakin meningkat perlu diimbangi dengan pengamatan kondisi kualitas perairan secara berkesenambungan. Seperti pada daerah penelitian yakni Provinsi Nusa Tenggara Timur, yang menjadi lokasi penelitian. Adapun parameter yang dimaksud salah satunya suhu permukaan laut (SPL), dengan cara mengukur suhu permukaan laut dan menganalisis data dari hasil penelitian. Dari penelitian ini dapat memetakan suhu permukaan laut (SPL), menggunakan data satelit Terra Modis dan data lapangan dengan bantuan aplikasi SeaDas. Perhitungan menggunakan algoritma penginderaan jauh dengan membandingkan data citra satelit Terra Modis dan data dilapangan. Perhitungan yang dilakukan yaitu pada panjang gelombang 412 nm, 531 nm dan 645 nm dengan menggunakan algoritma eksponential, Linear, Logarithmic dan power pada tiap-tiap panjang gelombang. Dari hasil penelitian dan analisa yang dilakukan, maka panjang gelombang 645 nm memiliki R (Squere) terbaik dibandingkan dengan panjang gelombang 412 nm dan 531 nm, dimana digunakan algoritma Logarithmic dengan nilai R2 = 0.9062, yang menunjukkan ada hubungan antara nilai suhu permukaan laut satelit dengan suhu permukaan laut lapangan (insitu). Hal ini ditunjukkan dari hasil Uji T dimana t hitung lebih kecil dari t tabel dengan nilai -1,478119203 < 2,306004135 sehingga hipotesa diterima. Hasil dari Uji-T juga memuat hasil korelasi yang menunjukan koefisien korelasi 0,899526791 yang berarti antara data yang didapat dari lapangan dan data dari citra satelit memiliki korelasi yang positif sangat kuat.

Analisa Perubahan Total Padatan Terlarut Di Pesisir Pantai Situbondo Dengan Memakai Data Citra Satelit Terra Modis Hendrata Wibisana; Masliyah M
KERN Vol 5 No 2 (2019): Jurnal KERN : Oktober 2019
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Pembangunan Nasional "Veteran" Jawa Timur

Total dissolved solids which are often referred to as foreign terms Total suspended solid (TSS) is a solid particle that fills an aquatic environment where the presence of a concentration value of this TSS is a clue to the quality of a waters whether turbidity occurs or not. It is interesting to study the growth of the TSS concentration value because knowing the concentration value can be detected at the point where the growth takes place whether erosion or sedimentation. In this research, Terra Modis satellite imagery is used in 2019 and 2018 in the same month, October. The method used in this research is a remote sensing technique by carrying out statistical measurements to form a mathematical model of the wavelength of Terra Modis satellite images using visible light channels or RGB which are 412 nanometers, 531 nanometers and 667 nanometers. The results showed that the wavelength of 531 nanometers had the largest R correlation value among other RGB wavelengths, namely for the linear model the correlation value of R was 0.892 and the exponent model with an R correlation value of 0.897. The conclusion obtained from this study is that Terra Modis satellite imagery can be used to detect growth from TSS concentrations (mg / l) on the coast and also to predict growth or reduction of TSS in the future.

Pemilihan Model Matematika yang Terbaik pada Pemetaan Suhu Permukaan Laut di Pesisir Jember dengan Data Citra Satelit Aqua Modis Arzalia Novia Putri; Hendrata Wibisana; Bagas Aryaseta
KERN Vol 6 No 2 (2020): Jurnal KERN: Oktober 2020
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Pembangunan Nasional "Veteran" Jawa Timur

Indonesia terletak di garis khatulistiwa, maka tak heran jika Indonesia beriklim tropis. Perairan Indonesia sangat luas, sebab itu ada beragam biota laut didalamnya. Banyak hal yang mempengaruhi kelangsungan hidup biota laut, suhu permukaan laut atau SST (Sea Surface Temperatur) salah satunya. Nilai dari suhu permukaan laut disetiap daerah berbeda-beda seperti halnya di pesisir Jember. Cara mengetahui suhu permukaan laut pesisir Jember dapat dilakukan dengan cara menganalisis pemetaan suhu permukaan lautnya. Hasil analisis suhu permukaan laut (SST) didapat dari pengolahan data Citra Satelit Aqua Modis daerah pesisir Jember dengan pemilihan metode matematik yang terbaik. Proses pengolahan tersebut menggunakan data SST daerah pesisir Jember tahun 2020 dari bulan Januari hingga bulan April. Hasil dari pengolahan data Citra Satelit Aqua Modis kemudian diolah kembali dengan menggunakan model matematik yang terbaik hingga didapatkan nilai r2 yang maksimum sebesar 0,2754. Nilai tersebut menghasilkan peta tematik sebaran SST dan histogram dari daerah pesisir Jember. Dari peta tematik sebaran SST dan histogram barulah didapat nilai energi di pesisir Jember.

Analisa Perbandingan Salinitas dengan Kadar Klorofil- di Wilayah Perairan Sumenep Menggunakan Metode Regresi Linier dan Uji-T Dyah Ayu Kusumaningtyas; Hendrata Wibisana; Siti Zainab
KERN Vol 6 No 2 (2020): Jurnal KERN: Oktober 2020
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Pembangunan Nasional "Veteran" Jawa Timur

Indonesia merupakan negara dengan wilayah perairan yang luas, wilayah perairannya mencapai 77% dari total wilayah Indonesia. Wilayah perairan di indonesia banyak dimanfaatkan sebagai ladang perekonomian masyarakat, juga sebagai sarana kebutuhan non ekonomi lain. Banyaknya aktivitas yang dilakukan di wilayah perairan, serta faktor alam lain seperti gelombang, angin, dan lain sebagainya dapat memengaruhi banyak hal di perairan tersebut, misalnya salinitas dan kadar klorofil-a. Pada penelitian ini menggunakan citra satelit aqua modis tahun 2020 dengan mengambil data bulan Januari hingga April sebagai fokus penelitian. Penelitian ini mengerucutkan semua data penelitian menjadi hanya satu macam model matematika terbaik untuk setiap gelombangnya yang dapat digunakan dalam memperhitungkan nilai salinitas pada perairan Sumenep. Dari hasil korelasi nilai salinitas tersebut didapatkan nilai koefisien korelasi (r) sebesar 0,195. Setelah itu dilakukan analisa perbandingan dengan metode uji-T pada Program Microsoft Excel. Perbandingan dilakukan dengan variabel bebas kadar klorofil-a. Hasil yang didapat adalah hubungan antara salinitas dan kadarklorofil-a bersifat positif, atau berbanding lurus. Sedangkan untuk tingkat hubungannya termasuk dalam kategori hubungan yang lemah dengan nilai r sebesar 0,195. Secara periodik terjadi penurunan rerata antara salinitas dengan kadar klorofil-a.

Co-Authors Afifah Ajeng Agil, Raditya Ahna Mayhella Putri Albar, Aldino Maulana Alfiandi Setya Dwinanda Alfiansyah, Achmad Dzulfiqar Ali Zainal Abidin Isa Alhabsyi Anna Rumintang Apriliana, Diyah Ayu Ardianto, Eric Arga Erditya Herdirinanda Ary Candra Wibawa Aryaseta, Bagas Aryaseta, Bagas Arzalia Novia Putri Aulia Azizah Bagas Aryaseta Bagas Aryaseta Bangun Muljo Soekotjo Bangun Muljo Sukojo, Bangun Muljo Dam, Leontius Barbarigo Decynthia Wibowo Dian Purnamawati Solin Dicky Firmansyah Dicky Firmansyah Difha Trisadi Dimas Bagus Prasetyo Dwi Cahya, Maulana Zidan Dyah Ayu Kusumaningtyas Effendi, Mochammad Fahreeza Yuniar Eka Putri, Karina Meilawati Erlangga, Agi Rahmantoko Euis Nurul Hidayah Farida Hardaningrum Farihatul Islamiyah Fatikasari, Aulia Dewi Femmy Kindanti Fithri Estikhamah Fithrie E Fitrah Alfi Syah Alam Handajani, Novie Hasanah, Fifi Nurlaili Ifthar Ramadhana W Ilham Akbar Kamal - Fikkri Karaman , Novel Karina Meilawati Eka Putri Kartika, Sucahyaning Wahyu Trihasti Kartini Kustarto, Hendro Kustarto, Hendro Kusumaningtyas, Dyah Ayu Lamento Umbro Leontius Barbarigo Dam M. Khadik Asrori Masbut, Muhammad Fadlullohil Masliyah Masliyah Masliyah Masliyah M Maulana Yusuf Mohammad Hendrik Saputra Romadhon Muhammad Fahmi Izzatur Rahman Muhammad Hafidz Sarimun Putra Muhammad Rusdi Muhammad Wildan Nasrullah, Bima Hanggara Nia Dwi Puspitasari Nina Saraswati Novirina Hendrasarie Nugroho Utomo Nugroho Utomo Nugroho Utono Pare, Jeremy Rumbaya Kondo Prakoso, Shaktiawan Lawyerrisa Putri, Ahna Mayhella Putri, Arzalia Novia Putri, Karina Meilawati Eka Rachmanto, Tuhu Agung Raditya Agil Raharjo, Rizaldy Aditya Ramadhani, Nadya Mutiara Restu Hikmah Ayu Murti Rifqi Hanan Riokka, Rifqi Hanan Rizki Firman Alamsyah Rohmatun Nisa Romadhon, Mohammad Hendrik Saputra Rosariawari, Firra Sarimun Putra, Muhammad Hafidz Sarra Amanda Sinaga Senggarang, Raphael Rio Dewa Septiono, Wisnu Panji Sholichin, Ibnu Siti Zainab Siti Zainab Siti Zainab, Siti Suhada, Aisyah Ramadhanti Sukotjo B. M Sukotjo, Bangun Muljo Syadza Nabila Yusna Syahputra, Aldy Umboro Lasminto Vicky Agustin Vivid Lucha Deanggi Yuliano, Hendrikus Zetta R. Kamandang Zetta R. Kamandang Zetta Rasullia Kamandang Zetta Rasullia Kamandang

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