Article Per Year (5 Year)
p-Index From 2021 - 2026
2.698
P-Index
This Author published in this journals
All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Majalah Geografi Indonesia KERN Forum Geografi Jurnal Geosaintek JURNAL ILMIAH GEOMATIKA Jurnal Inotera GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Makara Journal of Science Makara Journal of Technology Sewagati SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Jurnal Geosaintek Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Geoid - Journal of Geodesy and Geomatics
Bangun Muljo Sukojo, Bangun Muljo
Departemen Teknik Geomatika Institut Teknologi Sepuluh Nopember
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

Published : 85 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 85 Documents
Search

 5   6   7   8   9 
ANALISIS PERSEBARAN EKOSISTEM HUTAN MANGROVE MENGGUNAKAN CITRA LANDSAT-8 DI ESTUARI PERANCAK BALI Kartikasari, Afrinda Dara; Sukojo, Bangun Muljo
GEOID Vol. 11 No. 1 (2015)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v11i1.1463

Abstract

Mangrove adalah tanaman pepohonan atau komunitas tanaman yang hidup di antara laut dan daratan yang dipengaruhi oleh pasang surut. Ekosistem mangrove banyak ditemukan di pantai-pantai teluk yang dangkal, estuaria, delta dan daerah pantai yang terlindung (Bengen, 2001). Kawasan Estuari Perancak memiliki luasan cukup besar dengan penggunaan lahan berupa tambak dan hutan mangrove. Wilayah perancak memiliki karakteristik yang khas. Sebagai sebuah estuari yang kondisi badan airnya dipengaruhi oleh asupan air asin dari Selat Bali dan air tawar dari sungai yang bermuara didalamnya. Dengan mengintegrasikan teknologi penginderaan jauh menggunakan citra satelit Landsat-8 diharapkan mampu mempermudah dalam mengkaji pemetaan mangrove. Algoritma yang digunakan adalah NDVI digunakan untuk menggambarkan tingkat kehijauan suatu jenis mangrove. Penentuan jenis mangrove dilakukan menggunakan metode transek 10x10m dengan kegiatan menghitung jenis mangrove, mengukur diameter dan tinggi pohon dan mengambil gambar kanopi pohon mangrove. Untuk pengambilan sampel air dilakukan di 13 titik pada saat kondisi air laut pasang. Berdasarkan hasil penelitian, didapatkan luas hutan mangrove di Estuari perancak pada tahun 2015 sebesar 651200 m². Korelasi parameter fisik hidrologi (salinitas, TSS) dengan persebaran hutan mangrove berdasarkan nilai NDVI didapatkan nilai korelasi berturut-turut adalah 0.7658, dan 0.2902 yang artinya korelasi antara NDVI dengan salinitas kuat, korelasi antara NDVI dengan TSS sangat rendah. Sehingga jika nilai NDVI tinggi tidak pasti nilai TSS tinggi pula, hal ini dikarenakan letak penelitian yang dikelilingi oleh sungai dan jarak dari bibir pantai sepanjang 3133.45 m
ANALYSIS OF LANDSAT 8 SATELLITE IMAGERY TO IDENTIFY POTENTIAL OF SPRING (Case Study: District Bojonegoro) Sukojo, Bangun Muljo; Aristiwijaya, Bayu
GEOID Vol. 11 No. 2 (2016)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v11i2.1492

Abstract

By integrating remote sensing technology to the analysis of Landsat 8 satellite imagery to identify, is expected to provide solutions and services in a repeated and continuous monitoring with wide regional coverage. Exploration of water resources needs to be done in order to meet community needs.Bojonegoro known as districts often experience water shortages in some regions of sub-section, especially during the dry season. Action in the form of research on the potential presence of springs made as early action in an effort to identify and search for the source of water to meet the needs of society.From the science of remote sensing, identification of potential springs do with observations of vegetation density of processed Landsat 8 satellite image, especially the image output May to September 2014. The data supporting the use of topographic data is like a river network, land cover and hipsografi. Efforts to use data validation geology and hydrogeology. From this research, it was found that Bojonegoro can be divided into four classes of potential, ie High, Medium, Low and Rare. The potential emergence of springs identified in the area of the plateau with prolific aquifer truncated by faults geology. Geographic information system is used as a tool in the process of spatial analysis is the conclusion that would be the magnitude of the correlation between the size of the vegetation density to the size of the potential presence of springs.
STUDI ANALISIS KETELITIAN GEOMETRIK HORIZONTAL CITRA SATELIT RESOLUSI TINGGI SEBAGAI PETA DASAR RDTR PESISIR (STUDI KASUS: KECAMATAN BULAK, SURABAYA) Sukojo, Bangun Muljo; Alawy, Moh. Mahfudhdin
GEOID Vol. 12 No. 1 (2016)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v12i1.1513

Abstract

The availability various of high resolution satellite imagery with high accuracy at less than one meter, show that remote sensing technology is developed, that impact on the increased accuracy of various base maps that require a high scale example of at least 1: 5000 in the preparation of base maps a detailed plan to spatial structure of urban, industrial and coastal which will be reviewed in this study. Of course, to meet the high scale, high-resolution satellite images must be processed and corrected to minimize Geometrik errors. The data that is used in this study is the high-resolution satellite Pleiades 1B imagery in 2015 data acquisition and Geoeye in 2013. Each imagery data carried out Geometrik correction process that is carried out using the Affine and Polynomial Order 2 transformation method. As the supporting data is Ground Control Points (GCP) data as much as 9 points and 23 Independent Check Points (ICP), all of the Control Point is measured using GPS Geodetik and also 21 planimetric distance measurement data, this data is used for Geometrik correction process until the Geometrik accuracy tests performed on each image. In the end the results of this study showed that each of image that has performed Geometrik correction have the results of the accuracy that meets the standards of accuracy base map up to a scale of 1: 5000 in Class 1, with details of the correction process Geometrik rectification generate the RMS Error indicating that the Polynomial Order 2 method on the image of the Pleiades 1B 0,158 and GeoEye 0,089 have RMS Error values are better than the Affine method on Pleides 1B and GeoEye that have result of 0,253 and 0,173, horizontal Geometrik accuracy CE90 Geoeye satellite imagery with a value of 0,697 better than the Pleiades 1B that has a value of 0 , 731. as well as on the planimetric accuracy test showed GeoEye imagery with a value of 0,506 accuracy better than Pleiades 1B at 0,648.ye imagery with a value of 0,506 accuracy better than Pleiades 1B at 0,648.
ANALISIS KETELITIAN HORIZONTAL ORTHOREKTIFIKASI CITRA PLEIADES UNTUK PEMBUATAN PETA DASAR RDTR PESISIR (Studi Kasus : Kecamatan Semampir, Kota Surabaya) Sukojo, Bangun Muljo; Hidayat, Husnul; Santoso, Romario
GEOID Vol. 12 No. 2 (2017)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v12i2.1528

Abstract

The quality of accuracy and precision was the main problem in survey and mapping. One of the problems these there were in remote sensing, namely in the geometric correction is orthorectification on the satellite image. Products from orthorectification is needed in the manufacture of large-scale maps of 1: 5000 as for the purpose of detailed spatial plan map. The data used for the orthorectification process is a high resolution image of the Pleiades, a Ground Control Point and DEM Alos PALSAR. DEM used as elevation data to correct or eliminate the influence of relief displacement of image data due to variations in the earth's surface terrain. In this study, using seven of ground control points spread evenly on the location of the research, which is in District Semampir, Surabaya. The ground control points obtained through direct measurements in the field with GPS Geodetic using static methods. Orthorectification method using Rigorous. The results of this study indicate CE90 and LE90 values using the Rigorious methods, geometric precision can be seen from the CE90 and LE90 where the smaller the value, the result of more thorough and accurate image. For eligibility image, obtained by multiplying the value of the coefficient RMSE and thoroughness in which the image of the Pleiades 1 qualifies a map scale of 1: 5000.
PEMANFAATAN CITRA MODIS LEVEL 1B DALAM PEMBUATAN PETA PRAKIRAAN DAERAH PENANGKAPAN IKAN (Studi Kasus : Pantai Selatan Blitar) Sukojo, Bangun Muljo; Febriani , Eva Resti; Febriani, Eva Resti
GEOID Vol. 13 No. 1 (2017)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v13i1.1545

Abstract

The potential of marine resources in Blitar quite large but utilization is not optimal, so it requires a Regional Forecast Map Fishing in order to exploit the potential of fishery resources there is more optimal. Determination of the area forecast use of the fish can be predicted from the parameters of sea surface temperature and chlorophyll-a. Modis image level 1b can be used in the manufacture of the forecast utilization of fish pennagkapan area. Used algorithm ATBD (Theoretical Basic Document Encryption Modis) 25 to determine sea surface temperature and Algorithms Morel 4 is used to determine the chlorophyll-a. The results obtained from this study is the RMSE test conducted between field data with the data Modis image of RMSE 1b level of 0.706568, with forecasts of fishing areas and potentially potent enough.
ANALISIS PERUBAHAN DAERAH POTENSI IKAN MENGGUNAKAN CITRA SATELIT MODIS LEVEL 1B (STUDI KASUS : SELAT BALI) Sukojo, Bangun Muljo; Zahroh, Latifatul
GEOID Vol. 13 No. 1 (2017)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v13i1.1549

Abstract

Bali Stait is a fishery potential strait which located between Java and Bali Island. Bali Strait has much nutriens, which the nutrients are source of food for fish, because the influence of Java Sea and Indian Ocean. Remote sensing technology is used to make maps of fishery potential areas to optimalize the fishery potential of Bali Strait. On this research, fishery potential area is identified by some parameters. The parameters are 0.2 mg/L – 1 mg/L  concentration of chlorophyll-a, 20ºC - 30ºC sea surface temperature and having >= 0.5ºC front thermal. The parameters are obtained from data processing of MODIS satellite imagery. OC3M algoritm is used to process concentration of chlorophyll-a meanwhile sea surface temperature (SPL) is precessed by Minnet algoritm (2001).  The overlay results of both parameters are used to identify front thermal based on 4km x 4km sized fishing net (fishnet). The results of the research indicate that  the greatest number of fishery potential areas are happened on April 2012 which the numbers are about 45 fishery potential areas. Significant decreasing of fishery potential areas is happened on October 2012 with only one remaining area of fishery potential. On May 2013 fishery potential areas increase to 22 areas. The results show that Bali strait has more fishery potential areas on  April and May than October.
ANALISA VARIASI HARMONIK PASANG SURUT DI PERAIRAN SURABAYA AKIBAT FENOMENA EL-NINO Sukojo, Bangun Muljo; Rinjani, Iva Ayu
GEOID Vol. 13 No. 1 (2017)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v13i1.1553

Abstract

The influence of the El Nino phenomenon can also be studied and analyzed using tidal fluctuation data at sea level. Ups and downs are ups and downs of sea level caused by a combination of gravitational forces from the rotation of the moon, sun and Earth. In addition, changes in atmosphere such as changes in pressure, wind and temperature will affect tidal patterns and tidal activity. The results showed that MSL decrease during El Nino in Surabaya waters followed the linear equation with y = 114.1-0.3782x (R2 = 20,69%) with MSL decrease 4,347 cm during 2014-2015.
PEMANFAATAN TEKNOLOGI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS SPASIAL TINGKAT KEKERINGAN WILAYAH KABUPATEN TUBAN Sukojo, Bangun Muljo; Prayoga , Muhharama Putra
GEOID Vol. 13 No. 1 (2017)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v13i1.1554

Abstract

Tuban Regency is one of the districts in East Java which is a drought-prone area. Based on the Indonesian Disaster Risk Index (IRBI) data released by the Disaster Management Agency (BNPB) in 2013, Tuban received a score of 24 for the drought disaster risk index, which scores are categorized as high risk for drought. The purpose of this research is to know the distribution of drought risk areas in Tuban Regency by utilizing remote sensing data integrated with the physiographic condition of the region that affect the drought which is then grouped into 5 classes of drought levels, namely: very low, low, medium, high, and very high . The data required in this study are: Normalized Different Vegetation Index (NDVI) map, Normalized Different Water Index (NDWI) map, Land Surface Temperature (LST) map, average rainfall map, hydrogeological map, and land use map. From the data processing, it is found that most of the area in Tuban Regency is categorized into a high drought category of 119,388.50 hectares or 60.60% of the total area, while the lowest is the very low drought category that is only 180.48 hectares or 0.09 % of total area. Keywords: Tuban Regency, Drought, Remote Sensing, Geographic Information System.
ANALISIS AKURASI CITRA MODIS DAN LANDSAT 8 MENGGUNAKAN ALGORITMA NORMALIZED BURN RATIO UNTUK PEMETAAN AREA TERBAKAR (Studi Kasus: Provinsi Riau) Sukojo, Bangun Muljo; Herwanda, Agita Setya
GEOID Vol. 13 No. 1 (2017)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v13i1.1556

Abstract

Forest fires have become a serious threat to society globally in the last decade, it is closely related to the destruction of the environment and natural resources that exist in the world, especially in tropical countries like Indonesia have a lot of forest. Riau Province is one of eight provinces were declared disaster prone to forest fires. In this research will be processing of satellite imagery with different spatial resolution and uses the same method to get the same results, the burned area. The imagery used is Landsat 8 imagery with a spatial resolution of 30 meters and MODIS imagery with a spatial resolution of 250 meters using NBR (Burned Normalized Ratio). By comparing two different data, it can be specified accuracy assessment of both images that have different resolutions. Assessment of accuracy to be achieved is the extent of the burned area agreement, related comission error, omission related error, independent comission independent error and omission error. The results of this study showed burned area classification results Landsat 8 30 meters area of 125,923.790 hectares and MODIS image classification results of 250 meters area of 171,045.154 hectares. While the results of the analysis of the accuracy of the results obtained burned areas agreement 40200.882 hectares, related commission errors 94633.149 hectares, related omission errors 44744.897 hectares, independent comission error 23165.602 hectares, and independent ommission error 21766.780 hectares.
ANALISA VARIASI HARMONIK PASANG SURUT DI PERAIRAN SURABAYA AKIBAT FENOMENA EL-NINO Sukojo, Bangun Muljo; Witarsih, Diah
GEOID Vol. 13 No. 2 (2018)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v13i2.1567

Abstract

The influence of the El Nino phenomenon can also be studied and analyzed using tidal fluctuation data at sea level. Ups and downs are ups and downs of sea level caused by a combination of gravitational forces from the rotation of the moon, sun and Earth. In addition, changes in atmosphere such as changes in pressure, wind and temperature will affect tidal patterns and tidal activity. The results showed that MSL decrease during El Nino in Surabaya waters followed the linear equation with y = 114.1-0.3782x (R2 = 20,69%) with MSL decrease 4,347 cm during 2014-2015.
Co-Authors Afrinda Dara Kartikasari Afrinda Dara Kartikasari, Afrinda Dara Agita Setya Herwanda Agita Setya Herwanda Agung Budi Cahyono Agus Budi Agus Wibowo Aji, Pujo Akhmad Sigit Aisandy Akhmad Sigit Arisandy Alawy, Moh. Mahfudhdin Alfan Rozy Mahmudi Amalina, Nurul Chayah Andie Setiyoko Andie Setiyoko, Andie Andreas Kelvin Pujianto Antonius B. Wijanarto Anwar, Nadjadji Ardia Tiara Rahmi Ari Santoso Arifin, Irfan Samsul Arindi, Yurike Nisa Asadul Usud Asadul Usud, Asadul Awalin, Lilik Jamilatul B. Realino S. Basori Basori Bayu Aristiwijaya Bayu Aristiwijaya, Bayu Budi , Agus Budi Santoso Budisusanto , Yanto Budisusanto, Yanto Catur Paminto Laksono Chandra, Danang Surya Christiono Utomo Citra Prastika Dawamul Arifin Deni Ratnasari Dewi Masita Dewi Masita Dhanu Prihantoro Trijayanto Dhiyaulhaq Al Majid Diah Susilowati Diah Susilowati, Diah Diah Witarsih Dian Ratnasari Diya Rochima Lisakiyanto Diyah , Chali Matussa Dwipayana Kusumawardhana Erma Suryani Erma Suryani Ety Parwati Ety Parwati Eva Resti Febriani Eva Resti Febriani Farid Irawan Y. P Febriani , Eva Resti Febriani, Eva Resti Feny Arafah Filsa Bioresita, Filsa Firdianto, Prasetyo Friska Melia Ode Binta Ode Binta Hadjoe, Muhammad Nabil Hana Sugiastu Firdaus Hanansyah, Megivareza Putri Hanif Khoirul Latif Harliyanti, Novi Ika Hauzan, Naufal Shidqi Hayati, Noorlaila Hendrata Wibisana Hepi Hapsari Handayani, Hepi Hapsari Hermawan, Raihan Daffa Hernandi Kustandiyo Hernandi Kustandiyo, Hernandi Herwanda, Agita Setya Hidayat, Husnul Husnul Hidayat, Husnul I Nyoman Fegie Inggit Lolita Sari Ipranta Ipranta Ipranta Ipranta, Ipranta Irfan Samsul Arifin Iva Ayu Rinjani Iva Nurwauziyah Iva Nurwauziyah Jaelani , Lalu Muhamad Jaelani, Lalu Muhamad Jaelani, Lalu Muhammad Jefri Ardian Nugroho Kholid Noor Syamsa Kurnia Setiawan W Kustarto, Hendro Kusumawardhana , Dwipayana Laksono , Catur Paminto Lathifah , Rohmatul Latifatul Zahroh Latifatul zahroh Lisakiyanto, Diya Rochima LM. Jaelani Lukman Raharjanto Lukman Raharjanto, Lukman M. Nurcahyadi Mahmudi, Alfan Rozy Mayasari , Ratna Meika Sumarsono Meraty Ramadhini Moh. Mahfudhdin Alawy Muhammad Hanif Muhammad Taufik Muhharama Putra Prayoga Muhsi Mulsani, Adi Munawar Kholil Munawar Kholil Naufal Shidqi Hauzan Niswah Selmi Kaffa Noorlaila Hayati, Noorlaila Nurdin Nurdin Nurdin Nurul Aini Nurul Aini Nurul Chayah Amalina Nurwatik, Nurwatik Nurwauziyah, Iva NYOMAN DITA PAHANG PUTRA, NYOMAN Pratomo, Danar Guruh Prayoga , Muhharama Putra Putri, Regina Verra Santiara Yahya R A, Dwi Ayu Rahmani, Kania Hana Rahmansyah, Ferdian Zaki Rahmi, Ardia Tiara Ramadaningtyas, Niken Ramadhini, Meraty Ratnasari , Dian Rauf Syafriyyin Rauf Syafriyyin, Rauf Regina Verra Santiara Ricko Buana Surya Rif’anuddin, Sep Hamdan Rinjani, Iva Ayu Risdina Trisna Wardani Rizki Ramdhani Rohmatul Lathifah Rudi Firman Setyawan Ruki Ardiyanto Ruki Ardiyanto Santoso Santoso Santoso, Romario Sep Hamdan Rif’anuddin Setiawan, Nanang Siswoyo Siswoyo Siwi , Sukentiyas Estuti Sukentiyas Estuti Siwi Sukentyas Estuti Siwi Sya’roni , Ahmad Imam Taslyanto, Chelsea Alfarelia Putri Tazkiyatunnisa , Hana Teguh Harianto Trisnawati, Agnes Rusnalia Tubagus Solihuddin Tubagus Solihuddin Tyas Eka Kusumaningrum Tyas Eka Kusumaningrum, Tyas Eka Udiana Wahyu Deviantari Udiana Wahyu Deviantari, Udiana Wahyu Umboro Lasminto Utama, Dhira Vivi Diannita Sari Vivi Diannita Sari, Vivi Diannita Wahono Wahono Wahyu Teo Parmadi Wardani , Risdina Trisna Wibowo, Agus Witarsih, Diah Yanto Budisusanto, Yanto Yudi Wahyudi Yudi Wahyudi Yulianti Puspitasari Yurike Nisa Arindi Yusuf S. Djajadihardja, Yusuf S. Zahroh, Latifatul Zakir, Achmad Ziyadatul Rofita