Articles
<![CDATA[MAPPING OF ALFAMART AND INDOMARET DISTRIBUTION IN THE MEDOKAN SEMAMPIR AND SEMOLOWARU SUB-DISTRICT AREA USING GOOGLE MYMAPS ]]>
<![CDATA[Arga Erditya Herdirinanda]]>;
<![CDATA[Hendrata Wibisana]]>
<![CDATA[ CI-TECH Vol. 2 No. 01 (2021): April 2021 ]]>
Publisher : <![CDATA[PROGRAM STUDI TEKNIK SIPIL - UPN "VETERAN" JAWA TIMUR ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33005/ci-tech.v2i01.25
<![CDATA[Indonesia is a country that has a high population density. The increasing population causes an increase in the demand for household needs. As time goes by, human needs are increasing day by day. Starting from primary needs to secondary needs. The city of Surabaya is the second largest metropolitan city after Jakarta with a population of around 2,874,314 people in 2020. With such a large number, of course, it has various kinds of demands to fulfill primary needs, Alfamart and Indomaret as the two largest retail companies in Indonesia are trying to be in the midst of Public. However, the uneven distribution of Alfamart and Indomaret locations causes the public to be often confused about their existence. To meet the need for information dissemination in that location, the system will be made based on mobile web so that the system can be accessed via a mobile smartphone device that is equipped with a GPS (Global Positioning System) so that it can find out the coordinates of the location of Alfamart and Indomaret, namely in the form of latitude and longitude data. This will make it easier for people who want to know the location and know the distance to the intended location and data by utilizing services from Open Camera and Google Maps.]]>
<![CDATA[ANALYSIS OF CHANGES IN MANGROVE FOREST FERTILITY USING SATELLITE IMAGE DATA AND WILCOXON TEST: (Case Study: Mangrove Gunung Anyar Surabaya) ]]>
<![CDATA[Siti Zainab]]>;
<![CDATA[Hendrata Wibisana]]>
<![CDATA[ CI-TECH Vol. 2 No. 01 (2021): April 2021 ]]>
Publisher : <![CDATA[PROGRAM STUDI TEKNIK SIPIL - UPN "VETERAN" JAWA TIMUR ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33005/ci-tech.v2i01.29
<![CDATA[Gunung Anyar is one of the districts in the city of Surabaya. This district has a height of approximately 3 meters above sea level. Based on data from the Central Statistics Agency (BPS) for the City of Surabaya 2019, Gunung Anyar District has an area of 9.2 square kilometers and is divided into four sub-districts. These include the Kelurahan Rungkut Menanggal, Rungkut Tengah, Mount Anyar and Mount Anyar Tambak (AyoSurabaya.com by Rizma Riyandi). The mangrove's robust root system helps form a natural barrier against storm surges and flooding. River and land sediments are trapped by roots, which protect shorelines and slow erosion. This filtering process also prevents harmful sediments from reaching coral reefs and seagrass beds (Anugerah Ayu Sundari 2019). The method used by remote sensing with Landsat 8 satellite imagery was analyzed using SeaDAS software, it was obtained that the comparison value in each band 2,3,4 and band 5 had differences in each reflectance value. The 2015 satellite image map has the largest value in band_4 with the exponential regression model y = 125.06e-22.13x with R2 = 0.0732, while the 2019 satellite image map which has the largest value is band_4 with the logarithmic regression model y = 141.72ln (x) + 326.3 where R2 = 0.0281. Using the Wilcoxon H1 Test Statistics it is accepted that there is a significant difference between the diameter of mangroves from satellite imagery in 2015 and the diameter of mangroves from satellite images in 2019. Because the number of positive rankings from the diameter of mangrove satellite imagery in 2015 is greater than the diameter of mangroves from satellite imagery in 2019. , it can be concluded that the mangrove area of Wonorejo Surabaya is experiencing fertility.]]>
<![CDATA[ANALYSIS OF THE DISTRIBUTION OF SALINITY VALUE AND SEA SURFACE TEMPERATURE IN LAMONG BAY WATERS, GRESIK REGENCY ]]>
<![CDATA[Maulana Yusuf]]>;
<![CDATA[Hendrata Wibisana]]>;
<![CDATA[Siti Zainab]]>
<![CDATA[ CI-TECH Vol. 2 No. 2 (2021): October 2021 ]]>
Publisher : <![CDATA[PROGRAM STUDI TEKNIK SIPIL - UPN "VETERAN" JAWA TIMUR ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33005/ci-tech.v2i2.47
<![CDATA[The waters of Teluk Lamong are located on the north sea coast of Surabaya, which is directly adjacent to the Gresik Regency. Lamong Bay is famous as a strategic port place on an International scale. Along the coastal waters of Teluk Lamong, some rivers flow in Lamong Bay. These activities can lead to interaction between fresh water and seawater. This interaction affects the pattern of salinity spread and sea surface temperature in the waters of Teluk Lamong. Salinity and Sea Surface Temperature is one of the biggest factors causing corrosion in the sea that will damage the structure of buildings around the sea. It is expected that in this research as information about the waters of Teluk Lamong for data information or database utilization in the field of civil engineering, among others, port maintenance and coastal building planning. Based on this background, research is needed to monitor the spread of salinity values and sea surface temperatures in Lamong Bay using Landsat 8 satellite imagery for the years 2016 and 2020. The result of modeling the algorithm obtained, the model of the algorithm used to process the salinity of the image is the wavelength Band_4 in the Equation Power with the model algorithm y = 25.437x-0.046, and the degree of determination value R² = 0.5825. While sea surface temperature in power equation with algorithm model y = 302.14x0.0029 and determination value R² = 0.4182. The results of an analysis of the T-test and validation test can be qualified. The results of the analysis of imagery data showed salinity distribution ranged from 27.33 (ppm) to 29.9 (ppm), while sea surface temperatures ranged from 303.95 Kelvin to 304.39 Kelvin.]]>
<![CDATA[Analisa Konsentrasi Khlorofil-A Di Selat Madura Berbasis Nilai Algoritma Dari Reflektan Citra Satelit Suomi-VIIRs ]]>
<![CDATA[Hendrata Wibisana]]>;
<![CDATA[Siti Zainab]]>;
<![CDATA[Dian Purnama Solin]]>
<![CDATA[ Jurnal Aplikasi Teknik Sipil Vol 16, No 2 (2018) ]]>
Publisher : <![CDATA[Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1195.18 KB)
|
DOI: 10.12962/j2579-891X.v16i2.3780
<![CDATA[Abstrak Pemetaan konsentrasi khlorofil-a sudah banyak dilakukan oleh para peneliti untuk memantau kondisi suatu perairan di laut lepas, hal ini dikarenakan klorofil-a merupakan salah satu parameter yang digunakan untuk mengukur kesehatan suatu perairan . Dengan mengetahui nilai konsentrasi klorofil-a suatu daerah maka dapat dilakukan suatu aksi terhadap proses management daerah perairan tersebut. Pada penelitian ini daerah pesisir pantai yang diambil adalah daerah selat Madura, dimana konsentrasi klorofil-a yang diukur berada di kabupaten Sampang dan kabupaten Pamekasan. Penelitian ini menggunakan teknik penginderaan jauh dengan memanfaatkan nilai reflektan permukaan dari citra satelit Suomi-VIIRS yang memiliki resolusi 750 meter. Nilai konsentrasi klorofil-a diperoleh dari ekstraksi citra satelit dengan program SeaDASS 7.2 dan dilakukan penyusunan algoritma dengan pemanfaatan kanal citra satelit pada panjang gelombang 410, 443, 551 dan 671 nanometer. Dari hasil perhitungan algoritma yang ada diperoleh bahwa kanal pada panjang gelombang 551 nm lebih cocok untuk menggambarkan konsentrasi klorofil-a dibandingkan dengan kanal lainnya, dan hasil olahan statistik memperlihatkan model yang paling cocok untuk itu adalah bentuk model linier dan pangkat pada kanal 551 nm , masing-masing dengan nilai R2 = 0,83 untuk model linier dan R2=0,85 untuk model pangkat.]]>
<![CDATA[Analisa Kebisingan di Ruas Jalan Arteri Kota Surabaya Serta Korelasinya Dengan Nilai Volume Lalu Lintas ]]>
<![CDATA[Zetta Rasullia Kamandang]]>;
<![CDATA[Hendrata Wibisana]]>;
<![CDATA[Cintantya Budi Casita]]>
<![CDATA[ Jurnal Aplikasi Teknik Sipil Vol 18, No 2 (2020) ]]>
Publisher : <![CDATA[Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (474.541 KB)
|
DOI: 10.12962/j2579-891X.v18i2.5357
<![CDATA[Sound pollution is a negative impact that occurs from the accumulation of the number of vehicles on a road where vehicles with each other crammed together to be able to drive without slowing down. This study aims to map the value of noise caused by motorized vehicles on arterial roads in the West Surabaya region. As for the method used to do the mapping is the application of geographic information systems based on primary data obtained in the form of vehicle volume and noise values measured by the tool sound level meter, analysis is done using multiple regression and correlation analysis with distribution t. The results obtained from this study are mathematical models of noise on various types of vehicles as well as a correlation model of noise with a degree of saturation. From this study it can be concluded that there is a positive correlation of noise with the degree of saturation where the mathematical model obtained Noise = 137.45 * DS + 34.76, for each increase in the degree of saturation will increase the noise value, in other words the degree of saturation is directly proportional to noise]]>
<![CDATA[Analisa Perlambatan Kecepatan Kendaraan Di Penghujung Traffic Light Perempatan Jalan Dengan Menggunakan Persamaan Differensial Derajad Satu. (Studi Kasus Ruas Jalan Ir. H. Soekarno–Kertajaya Indah Surabaya) ]]>
<![CDATA[Hendrata Wibisana]]>;
<![CDATA[Nugroho Utomo]]>;
<![CDATA[Decynthia Wibowo]]>
<![CDATA[ Jurnal Aplikasi Teknik Sipil Vol 15, No 2 (2017) ]]>
Publisher : <![CDATA[Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (284.436 KB)
|
DOI: 10.12962/j2579-891X.v15i2.3058
<![CDATA[Salah satu parameter yang digunakan untuk memantau karakteristik dari ruas jalan raya adalah kecepatan kendaraan. Faktor kecepatan kendaraan memainkan peranan yang penting dalam penggambaran dinamika arus lalu lintas suatu jalan raya, dimana dengan kecepatan kendaraan yang tinggi dapat diprediksikan arus lalu lintas yang tinggi pada ruas jalan tersebut. Dalam penelitian ini hendak dicari suatu model persamaan yang dapat menggambarkan kecepatan kendaraan pada suatu saat di ruas jalan arteri terpilih yaitu jalan Ir. H. Soekarno yang memiliki volume kendaraan yang tinggi. Model persamaan yang dihasilkan akan dapat dimanfaatkan untuk analisa kendaraan pada titik perhentian di pertigaan atau perempatan dengan adanya traffic light. Metode yang digunakan dalam penelitian ini berdasarkan masukan data kecepatan kendaraan dan diaplikasikan pada perhitungan dengan persamaan differensial derajad 1 dan diperoleh suatu bentuk model matematis. Persamaan matematis yang diperoleh dari penelitian di ruas jalan Ir. H. Soekarno adalah St=50,92.e^(-0,0684.t) dimana St adalah kecepatan kendaraan dalam satuan km/jam dan t adalah waktu tempuh dalam satuan jam. ]]>
<![CDATA[Indeks Tingkat Pelayanan Jalan Berbasis Model Linier di Ruas Jalan Raya Kertajaya Indah Surabaya ]]>
<![CDATA[Hendrata Wibisana]]>
<![CDATA[ Jurnal Aplikasi Teknik Sipil Vol 7, No 1 (2009) ]]>
Publisher : <![CDATA[Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (90.413 KB)
|
DOI: 10.12962/j12345678.v7i1.2741
<![CDATA[Pertumbuhan jumlah kendaraan di kota Surabaya seiring dengan pertumbuhan jumlah penduduk, dan sebagai salah satu kota yang memiliki kepadatan penduduk yang cukup tinggi sekitar 3 juta jiwa, maka kepemilikan kendaraan juga cukup besar. Hal ini juga ditunjang dengan pertumbuhan perekonomian yang cukup tinggi. Seiring dengan itu pula ruas jalan yang ada di kota Surabaya membutuhkan peningkatan dan pengawasan yang besar, karena dengan jumlah volume lalu lintas yang tinggi, menuntut kapasitas dan kapabilitas dari ruas jalan yang tersedia, terutama jalan arteri yang rata-rata padat kendaraan. Penelitian ini mengambil ruas jalan KERTAJAYA INDAH di kota Surabaya sebagai sampel, karena ruas jalan ini memiliki volume kendaraan yang cukup tinggi. Penelitian ini dimaksudkan hendak menghitung nilai kapasitas dan indeks pelayanan jalan dengan menggunakan metode regresi linier, dan dari hasil perhitungan yang ada diperoleh nilai kapasitas jalan sebesar = 7270,56 smp/jam dan indeks tingkat pelayanan (a) sebesar = 0,75. Dengan nilai ini maka dapat dikatakan bahwa jalan Kertajaya Indah memiliki tingkat kejenuhan yang cukup tinggi, dimana MKJI mensyaratkan harga derajad kejenuhan maksimum adalah 0,8.]]>
<![CDATA[Preliminary Study of Traffic Characteristics Based on Data Flow And Speed of Vehicles (Case Study of Nginden Road, Surabaya) ]]>
<![CDATA[Hendrata Wibisana]]>;
<![CDATA[Zetta R. Kamandang]]>;
<![CDATA[Fithrie E]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 2, No 02 (2018): IJSEIT Volume. 2 Issue. 2 JULY 2018 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (624.766 KB)
|
DOI: 10.21107/ijseit.v2i2.6491
<![CDATA[An arterial road is a high capacity urban road used by various categories of vehicles. The arterial road characteristics composed of traffic flow, traffic density and speed of vehicles. Therefore, every arterial road has different characteristics depends on its type and actual data. In order to identify the characteristics of arterial road based on traffic density and speed of vehicles, this research implements a least square method into a case study in Surabaya assumed that the relationship of traffic density and vehicles speed is linear and the traffic characteristic model based on Greenshield. At the end, this research concludes that Nginden Road as case study has maximum vehicle speed at 26 km/h and traffic density at 166 pcu/km with the Greenshield model]]>
<![CDATA[Analysis of Sea Surface Temperature with Total Suspended Solid Algorithm Based on Satellite Images Data ]]>
<![CDATA[Wibisana Hendrata]]>;
<![CDATA[Sukotjo B. M]]>;
<![CDATA[Lamento Umbro]]>
<![CDATA[ Nusantara Science and Technology Proceedings International Seminar of Research Month Science and Technology for People Empowerment. ]]>
Publisher : <![CDATA[Future Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Sea surface temperature and total suspended solid known as a parameter that is widely used by researchers to detect the quality of water whether it is waters that exist in a river, lakes or on the coast. The changes from the climate will affect the sea surface temperature of water, and whether in total suspended solid the changes can significantly affect the value of sea surface temperatures on the coast. The method developed for analyzing is done by compiling a mathematical model algorithm from the satellite image reflectance data to obtain a model of the SST value and TSS concentration for the same time periods and then analyzing the SST correlation to TSS, and the results shown that TSS which obtained from the most suitable algorithm is linear with the formula TSS = 5799,4x + 13,449 with the correlation value is 0,9275 and for the mapping of sea surface temperature, the most suitable algorithm is linear at a wavelength of 443 nm with the formula SST = -445, 06x + 33,654 and the value of the correlation is 0.6103, and this research could be concluded that the correlation between total suspended solids and sea surface temperature aren’t significant because of the result only have the correlation value 0,329 with the standard error 1,602.]]>
<![CDATA[Mapping Sea Surface Temperature and Its Correlation with The Acidity of Sea Water on the Coast of Kwanyar Madura Island ]]>
<![CDATA[Siti Zainab]]>;
<![CDATA[Novie Handajani]]>;
<![CDATA[Hendrata Wibisana]]>
<![CDATA[ Nusantara Science and Technology Proceedings 4th International Seminar of Research Month ]]>
Publisher : <![CDATA[Future Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11594/nstp.2019.0472
<![CDATA[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.]]>
