cover
Contact Name
Muhammad Aldila Syariz
Contact Email
aldilasyariz@its.ac.id
Phone
+6282131726693
Journal Mail Official
aldilasyariz@its.ac.id
Editorial Address
Geomatics Engineering's Building, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
Geoid - Journal of Geodesy and Geomatics
ISSN : 18582281     EISSN : 24423998     DOI : https://doi.org/10.12962/geoid.v20i1
General topics of interest include: - Geodesy and geomatics development theory - Geodesy and geomatics applications - Natural Disaster - Land and Ocean Development - Natural Resources - Environment - Science and technology in Mapping and Surveying - Earth Sciences A further issue related to geodesy and geomatics engineering such as: - Optical Remote Sensing and Radar Remote Sensing - Cadastre and 3D Modeling - Geodynamics theory and application - Geospatial - Land Surveying - Geomarine - Photogrammetry
Articles 504 Documents
CHLOROPHYLL-A SPREAD ANALYSIS USING MERIS AND AQUA MODIS SATTELLITE IMAGERY (Case Study: Coastal Waters of Banyuwangi) Taufik, Muhammad; Wiliyanto, Nico
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.v11i2.1504

Abstract

Indonesian is the archipelago country, 2/3 of the total area of Indonesia is the ocean. Oceans become a source of life for Indonesia people, including in the region of Banyuwangi. The potential of marine products in Banyuwangi regency not only fish, but also there are squid, crab, shellfish and others. Existence of fish can not be separated from the marine ecosystem, especially the food producers who are in the sea, the chlorophyll-a in phytoplankton. Information used to obtain the distribution of chlorophyll-a concentration value can be obtained from the data processing Aqua MODIS and Envisat Meris satellite imagery; which is reinforced by in situ data in the form of sea water sampling tested in the laboratory. Image processing using algorithms ATBD-19 for the Aqua MODIS imagery and algorithms Case-2 Water Processor (C2WP) for Envisat MERIS imagery. From this research, obtained a map of the distribution of chlorophyll-a concentrations in coastal waters of Banyuwangi generated from satellite image processing and analysis of several in situ data, based on the parameters of chlorophyll-a concentration. These results can be concluded that Aqua MODIS has a strong enough correlation to data in situ, with a correlation coefficient of r2 amount 0.5495. While the correlation between data in situ with Envisat MERIS imagery is quite weak with r2value amount 0.3782.
ORBIT REDUCTION IN INSAR FOR DEFORMATION OBSERVATIONS MOUNT MERAPI Agustan, Agustan
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.v11i2.1505

Abstract

Ground deformation is an important parameter to monitor volcanic activities. It reflects the dynamic processes beneath the surface and should be monitored to understand the volcano status. One technique to monitor ground deformation is Interferometric Synthetic Aperture Radar (InSAR) which works based on radar data that observed whether by airplane or satellite. One important factor in InSAR data processing is orbital effect that appears as a systematic phase in interferogram. The systematic orbital phase can be modelled by mathematical approach especially polynomial equation. This article assesses the utilization of polynomial approach to reduce the orbital phase by using free open source software. As a case study, ALOS-PALSAR data for Merapi Volcano is chosen and it is found that the polynomial function order 2 to 4 is suitable to reduce orbital phase for InSAR estimates after phase unwrapping process.
DIGITAL RECONSTRUCTION OF SINGOSARI TEMPLE USING STRUCTURE FROM MOTION METHODS Hidayat, Husnul; Cahyono, Agung Budi
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.v11i2.1506

Abstract

Singosari temple is one of cultural heritage building in Indonesia. This temple is located in Singosari District, Malang Regency, East Java, about 9 kilometers from Malang City to Surabaya. This temple is predicted to be built in 1300s and has been restorated by Dutch colonial government in 1934-1937. Today, there are some incomplete parts at the temple. Due to its history and recent condition, the documentation of this building becomes so important not only for archaeological purposes, but also education and tourism. This research aims to make documentations about this temple by digital 3D model reconstruction. The main data which used in this research are 39 terrestrial images of the temple which were taken with digital camera. Then, the 3D model was reconstructed using Structure from Motion algorithm. In order to make a 3D model with correct dimension, position, and orientation, the georeferencing process was done with aid from control points which have known absolute coordinate obtained from terrestrial surveying. To check the geometric accuracy of 3D model, the accuracy test was carried out by comparing the coordinates from 3D model and length measurement with corresponding real values from terrestrial surveying. The result shows that with only terrestrial images the generated 3D model was still incomplete. Visually the walls can be modeled well. But the top and floor can’t be modeled due to lack coverage from the top. In terms of geometric accuracy, the mean 3D positional error is 0.068 m. And the mean of error in length measurement is 0.057 m.
VALIDASI ALGORITMA ESTIMASI KONSENTRASI CHL-A DENGAN MENGGUNAKAN CITRA SATELIT LANDSAT 8(Studi Kasus : Laut Selatan Pulau Lombok, NTB) Jaelani, Lalu Muhamad; Sulistyah, Umroh Dian; Winarso, Gathot
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.v12i1.1510

Abstract

Lombok southern sea has a high marine productivity which signifies fertility of a body water. Chl-a is one of the factors associated with fertility in the Lombok southern sea. Remote sensing can be used for mapping the distribution of Chl-a more efficient and accurate to extract the physical parameters of the water. Physical parameters accuracy is derived from remote sensing data depending on atmospheric correction algorithms and algorithms model to calculate the concentration of Chl-a.In this study, Landsat 8 was used to validate the existing estimation concentration algorithm of Chl-a by in-situ data collected in Lombok southern sea. Atmospheric corrected reflectance by 6SV and Flaash, as well as surface reflectance product from USGS were used as input of that algorithm. The algorithm with 6SV-reflectance produced highest accuracy with NMAE of 26.095%.Instead of using existing algorithm, a new algorithm following local characteristics of Lombok southern sea was developed. The developed algorithm based on log Rrs( 4) and log (Rrs ( 5)) produced high  correlation (R2 = 0.551). Chl-a concentration estimation from Landsat 8 data, through atmospheric correction of 6SV produced NMAEof 13.484%.
ANALISA PERBANDINGAN NILAI TANAH DENGAN NJOP UNTUK MENINGKATKAN POTENSI PAD (PENDAPATAN ASLI DAERAH) KHUSUSNYA PBB DAN BPHTB(Studi Kasus : Area Terdampak Akses Jembatan Suramadu Sisi Madura) Deviantari, Udiana Wahyu; Budisusanto, Yanto; Fadila, Eliya Nur
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.v12i1.1511

Abstract

Dalam pengelolaan Pajak Bumi dan Bangunan Perkotaan dan Pedesaan (PBB P2), selain penetapan tarif pajak, Pemerintah Daerah juga mempunyai kewenangan untuk menetapkan besarnya Nilai Jual Objek Pajak NJOP tanah per m2,dipakai sebagai dasar untuk menghitung NJOP tanah masing-masing bidang tanah. Penetapan NJOP dilakukan dengan metode perbandingan data pasar (market data approach). Dalam penelitian ini berdasarkan nilai tanah dengan penilaian massal dengan pendekatan data harga pasar yang menggunakan metode massal dan dibandingkan dengan nilai tanah berdasarkan NJOP. Data harga tanah yang dihitung adalah data harga pasar tanah dengan nilai bangunan yang sudah dikeluarkan dan disesuaikan juga dengankarakteristik kondisi sosial ekonomi daerah. Hasil Penelitian menunjukkan bahwa perbandingan yang sangat signifikan adalah besarnya penerimaan dari data Nilai Jual Objek Pajak (NJOP) untuk PBB sebesar Rp1,488,000,000 dan BPHTB sebesar Rp2,344,000,000. Sedangkan dari data harga pasar untuk PBB Rp5,465,000,000 dan BPHTB Rp 13,842,000,000. Dan besarnya kenaikan untuk PBB adalah 367% dan BPHTB 590% Kata Kunci :Penilaian Massal, Metode Penilaian Tanah, PBB (Pajak Bumi dan Bangunan),BPHTB (Bea Perolehan Hak Atas Tanah dan Bangunan).
Analisa Hubungan Perubahan Muka Air Laut, Perubahan Volume Es Di Kutub Selatan Dan Curah Hujan Dengan Menggunakan Satelit Altimetri(Studi Kasus : Laut Selatan Pulau Jawa Tahun 2011 - 2014) Anjasmara, Ira Mutiara; Hakim, Lukman
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.v12i1.1512

Abstract

One of the impacts of climate change is sea level change. It is the result of the world's major thawing of coating ice, the North Pole and South Pole. Besidesfrom the effects of change ofice volume , sea level changes greatly influenced by the phenomenon of rain interpreted by rainfall.The effects of sea level change significantly also felt by residents of Indonesia which are predominantly located on the coast.Changes in sea level can be observed by using satellite Altimetry . One of them is the Jason-2 satellites mission. The change ofice volume can also be observed by satellite Altimetry that is through Cryosatmission.While the rainfall measurement, observed by satellite Tropical Rainfall Measuring Mission (TRMM).In this study, the monitoring of sea level change is carried out on the South Java sea in a period of 4 years (2011-2014) by taking three points of observation, namely Bodies Cilacap, Sadeng and Prigi. On the other hand, the monitoring of ice volume is carried out on the Antarctic at the same time. The result of data processing shows the trend of sea level changes in the southern Java with the value of -3,2 mm / year. In contrast, the trend of ice volume change in the South Pole has a value of 206.069 m3/year. The correlation between the value of sea level change s and ice volume change in the South Pole gives the correlation value of 0,044,the correlation values showed aweakThe correlation between the value of sea level changes and changes in rainfall gives the correlation value of of 0.716 (Cilacap), 0.720 (Sadeng), 0.773 (Prigi), the correlation values showed a strong correlation.
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.
PENGADAAN DATA GEOSPASIAL DESA MENGGUNAKAN WAHANA DRONE-QUADCOPTER (STUDI KASUS : DESA SUGENG, KEC.TRAWAS, KABUPATEN MOJOKERTO) Cahyono, Agung Budi; Hidayat, Husnul; Handayani, Hepi Hapsari; Budisusanto, Yanto
GEOID Vol. 12 No. 1 (2016)
Publisher : Departemen Teknik Geomatika ITS

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

Abstract

Salah satu kemajuan dibidang ilmu dan teknologi spasial adalah dengan berkembangnya wahana UAV (Unmanned Aerial Vehicle) atau nir awak yang semakin terjangkau baik harga (low cost) dan siap terbang (Ready To Fly / RTF) maupun kemudahan pengoperasiannya terutama untuk pemetaan secara fotogrametris. Fotogrametri sebuah proses untuk memperoleh informasi metris mengenai sebuah obyek melalui pengukuran yang dibuat pada hasil foto udara sebuah obyek. Sedangkan interpretasi foto didefinisikan sebagai ekstraksi dari informasi kualitatif mengenai foto udara dari sebuah obyek oleh analisis visual manusia dan evaluasi fotografi (Edward dan James 2004). Terminologi baru menggunakan pesawat tanpa awak atau yang biasa disebut UAV (Unmanned Aerial Vehicle) merupakan platform yang mendukung untuk pengukuran fotogrametri. UAV standar ini memungkinkan untuk melakukan pelacakan posisi dan orientasi dari sensor yang diimplementasikan dalam sistem lokal atau koordinat global (Eisenbeiss, 2008 dalam Rukmana, 2013).Penelitian ini merupakan kegiatan pemetaan spasial dengan menggunakan alat berupa wahana terbang nir-awak RTF modifikasi yang digunakan untuk memetakan lokasi bencana longsor. Adapun sensor yang digunakan adalah kamera amatir non-metrik. Adapun wahana yang digunakan adalah sejenis Quadcopter dengan ketinggian terbang sekitar 250 meter dan dalam waktu 15 menit pemotretan dilakukan.Dengan metode Fotogrametri maka akan dapat melakukan rapid mapping (pemetaan cepat) yang berupa informasi berupa peta desa dalam rangka menunjang program pemetaan partisipatif nasional (BIG, 2014).Hasil akhir dari kegiatan ini berupa pemetaan desa Sugeng Kec. Mojokerto seluas 270 ha. Peta desa yang dihasilkan dengan format peta ortofoto. Dari 378 foto tersebut telah dipilih dengan pertimbangan tingkat ketajaman, blur dan ketinggian terpilih 232 foto. Dimana satu kelemahan adalah daya baterai litium yang digunakan selama 8 menit/baterai. Untuk kegiatan ini digunakan 4 baterai sehingga total terbang 1 x untuk flight test sedangkan total pemotretan menggunakan 3 baterai atau sepanjang 8 x 3 = 24 menit.
IDENTIFIKASI POTENSI PANAS BUMI MENGGUNAKAN LANDSAT 8 SERTA PENENTUAN LOKASI PEMBANGKIT LISTRIK TENAGA PANAS BUMI (Studi Kasus : Kawasan Gunung Lawu) Hariyanto, Teguh; Robawa, Farrel Narendra
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.v12i1.1515

Abstract

Indonesia is located in the meeting point of several tectonic plates that related to the potential of geothermal energy. Geothermal energy in Indonesia spread in Jawa, Sumatra, Sulawesi, Nusa Tenggara, and other provinces. Their surface manifestations such as fumaroles, hot ground, sinter silica, hydrothermal alteration and hot springs is an indicator of geothermal energy. All manifestations of the surface has a relatively higher temperature than the surrounding environment (anomaly). First step to identify geothermal, is to study the characteristics of the potential area (landform). Identifying potential areas of geothermal can be detected using remote sensing (thermal channels) Landsat 8. Thermal channels is very effective to identify geothermal manifestations with wide area of research. The results of the processing of Landsat 8 will generate to temperature anomalies that indicate of heat manifestations. However, these anomalies are not all manifestations of geothermal. Therefore, there should be a further processing with predetermined parameters.Mount Lawu, located in Karanganyar District, Central Java and Magetan District, East Java, has predicted geothermal potential energy. Total potential of geothermal energy was proccess by overlay several parameters; land surface temperature anomalies, vegetation density anomaly, and preliminary survey data. The identification results of Geothermal Potential is 275 MWe . Using geographical information system analysis show that potential area for power plant is 159 920 km2 ( 15992.094 Ha ) and not potential area is 487 560 km2 ( 48756.068 Ha).
APLIKASI SISTEM INFORMASI GEOGRAFIS UNTUK INVENTARISASI DAN EVALUASI ASET BANGUNAN MILIK PEMERINTAH KOTA SURABAYA (STUDI KASUS : SURABAYA PUSAT) Taufik, Muhammad; Anugraha, Adindha Surya
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.v12i1.1516

Abstract

Surabaya is the capital city of East Java Province and the second largest population in Indonesia after DKI Jakarta in which has 2.947.816 populations.The Increase of the building assets belonging to the Surabaya Government is not consistent with the good asset management by the government. Thus, this condition causes some of the government assets are change over towards the private parties due to such legal problems, for example the absence of building certificate. Therefore, inventoryand evaluating towards the building assets of Surabaya Government are necessary to be conducted.This research took place in Central Surabaya including Genteng District, Tegalsari District, Bubutan District and Simokerto District. Hence, this research aims to mapping the assets of Surabaya Government to establish the Geographic Information System (GIS), and also to evaluate the legal aspects of Surabaya Government buildings assets. This research use data from the Departemen of Building and Land Management, Departement of Education dan Departemen of Healthand also any other data obtained during the research.By using GIS, the evaluation of the legal aspects found that the buildings assets owned by Surabaya Government in Central Surabaya in which do not have a certificate is about 70,22% and only 29,78% of building assets in which already have the certifiacte