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Analisis Data Batimetri Perairan Dangkal Menggunakan Citra Satelit Spot-7 (Studi Kasus Perairan Teluk Sabang) Penggalih, Ageng; Iwan Santoso, Agus; Hartuti, Maryani; Mustika Alam, Tasdik
Jurnal Chart Datum Vol. 4 No. 1 (2018): JURNAL CHART DATUM
Publisher : Sekolah Tinggi Teknologi Angkatan Laut (STTAL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/chartdatum.v4i1.128

PUSHIDROSAL adalah lembaga yang mengemban tugas untuk menyediakan peta laut yang digunakan untuk bernavigasi di laut. Penginderaan jauh memberikan solusi untuk melakukan updating peta pada area perairan dangkal secara efektif dan efisien. Tulisan ini membahas analisis data batimetri perairan dangkal menggunakan citra satelit SPOT-7, untuk mengetahui hasil ekstraksi nilai kedalaman pada perairan laut dangkal menggunakan metode Random Forest yang memasukkan 5 algoritma yaitu: LYZ, KNW, SMP, TNP, dan STR, serta mengetahui nilai akurasi jika dibandingkan dengan data lapangan. Hasil terbaik didapatkan melalui model algoritma STR dimana pada rentang kontur 0-2 meter RMSE; 0,51 masuk kriteria ketelitian orde khusus; 47,62%, pada rentang kontur 2,1-5 meter RMSE; 0,48 masuk kriteria ketelitian orde khusus; 53,23%, pada rentang kontur 5,1-10 meter RMSE; 0,81 masuk kriteria ketelitian orde khusus; 52,27%, pada rentang kontur 10,1-20 meter RMSE; 0,59 masuk kriteria ketelitian orde khusus; 54%. Hasil ekstraksi kedalaman dapat digunakan untuk pemetaan perairan dangkal dengan klasifikasi orde khusus pada kedalaman 0 meter sampai dengan 20 meter.

ANALYSIS OF THE PENETRATION CAPABILITY OF VISIBLE SPECTRUM WITH AN ATTENUATION COEFFICIENT THROUGH THE APPARENT OPTICAL PROPERTIES APPROACH IN THE DETERMINATION OF A BATHYMETRY ANALYTICAL MODEL Setiawan, Kuncoro Teguh; Winarso, Gathot; Nuha, Muhammad Ulin; Hartuti, Maryani; Ginting, Devica Natalia BR; Emiyati, .; Azis, Kholifatul; Kusuma, Fajar Bahari; Asriningrum, Wikanti
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 2 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3667

The attenuation coefficient (Kd) can be extracted by an apparent optical properties(AOP) approach to determine marine shallow-water habitat bathymetry based on an analytical method. Such a method was employed in the Red Sea by Benny and Dawson in 1983 using Landsat MSS imagery. Therefore, we applied the Benny and Dawson algorithm to extract bathymetry in shallow marine waters off Karimunjawa Island, Jepara, Central Java, Indonesia. We used the SPOT 6 satellite, which has four multispectral bands with a spatial resolution of 6 meters. The results show that three bands of SPOT 6 data (the blue, green, and red bands) can produce bathymetric information up to 30.29, 24.63 and 18.58 meters depth respectively. The determinations of the attenuation coefficients of the three bands are 0.08069, 0.09330, and 0.39641. The overall accuracy of absolute bathymetry of the blue, green, and red bands is 61.12%, 65.73%, and 26.25% respectively, and the kappa coefficients are 0.45, 0.52, and 0.13.

Pemanfaatan Data Satelit Sentinel-1 dan Sentinel-2 untuk Deteksi Kapal Transhipment di Perairan Bintan Aprianto, Rizqi Naufal; Sahar, Fahmi; Hartuti, Maryani; Pinardi, Sofia; Ramza, Harry
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 2 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i2.3190

Perairan Indonesia memiliki aktivitas pelayaran yang sangat tinggi, sehingga memerlukan sistem pemantauan yang andal untuk mendukung keselamatan navigasi, pengawasan maritim, dan pengelolaan sumber daya laut. Penelitian ini bertujuan untuk memanfaatkan data Sentinel-1, Sentinel-2, dan Automatic Identification System (AIS) dalam mendeteksi kapal di perairan Bintan. Deteksi kapal dari citra Sentinel-1 dilakukan dengan algoritma Constant False Alarm Rate (CFAR), yaitu teknik deteksi objek berbasis ambang batas dan klasifikasi untuk membedakan kapal dari latar perairan. Pada citra Sentinel-2, digunakan metode interpretasi visual untuk mengidentifikasi dugaan aktivitas transhipment. Data AIS digunakan sebagai acuan untuk memverifikasi posisi dan jenis kapal yang terdeteksi. Hasil penelitian menunjukkan bahwa integrasi data Sentinel-1, Sentinel-2, dan AIS mampu meningkatkan akurasi dalam identifikasi kapal, termasuk kapal yang tidak dilengkapi perangkat AIS. Tercatat lima kejadian dugaan transhipment pada 13 September 2024 dan tujuh kejadian pada 12 November 2024. Hasil ini menjadi dasar awal bagi pihak pengamanan maritim untuk melakukan analisis lebih lanjut guna mendukung pengambilan keputusan yang tepat.

ALGORITMA DUA DIMENSI UNTUK ESTIMASI MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA SATELIT LANDSAT-8, STUDI KASUS: TELUK LAMPUNG Arief, Muchlisin; Adawiah, Syifa W.; Hartuti, Maryani; Parwati, Ety
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 2 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2016.v13.a2517

Remote sensing technique is a powerful tool for monitoring the coastal zone. Optical sensors can be used to measure water quality parameters Total Suspended Matter (MPT). In order to be able to extract information MPT, the satellite data need to be validated with in situ measurements that make the relationship between the reflectance band with concentration MPT measurement results. In this model, do the correlation between the measurement results with the reflectance values band 3 and band 4. then obtained a linear equation, then calculated using the argument of a ratio of 60:75 to each of the correlation coefficient, the obtained linear equation two Dimension T (X3, X4) = 2313.77 X3 + 4741.11 X4 + 314.95. Based on the concentration MPT of dated June 3, 2015 was lower than in the west to the east. this is because the east is already contaminated with the plant, effluent solids by humans, while the west for still many floating net fish, and mangrove. Based on the results of measurement and calculation results, is still far from perfect (accuracy 60%), one factor is the value thresholding, when determining the boundary between: clouds, sea, and land. Generally indicates that the model is still in need for repair.

ANALISIS PERUBAHAN GARIS PANTAI UJUNG PANGKAH DENGAN MENGGUNAKAN METODE EDGE DETECTION DAN NORMALIZED DIFFERENCE WATER INDEX Anggraini, Nanin; Marpaung, Sartono; Hartuti, Maryani
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 2 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.1017.v14.a2545

Besides to the effects from tidal, coastline position changed due to abrasion and accretion. Therefore, it is necessary to detect the position of coastline, one of them by utilizing Landsat data by using edge detection and NDWI filter. Edge detection is a mathematical method that aims to identify a point on a digital image based on the brightness level. Edge detection is used because it is very good to present the appearance of a very varied object on the image so it can be distinguished easily. NDWI is able to separate land and water clearly, making it easier for coastline analysis. This study aimed to detect coastline changes in Ujung Pangkah of Gresik Regency caused by accretion and abrasion using edge detection and NDWI filters on temporal Landsat data (2000 and 2015). The data used in this research was Landsat 7 in 2000 and Landsat 8 in 2015. The results showed that the coastline of Ujung Pangkah Gresik underwent many changes due to accretion and abrasion. The accretion area reached 11,35 km² and abrasion 5,19 km² within 15 year period.

PEMANFAATAN METODE SEMI-ANALITIK UNTUK PENENTUAN BATIMETRI MENGGUNAKAN CITRA SATELIT RESOLUSI TINGGI Setiawan, Kuncoro T.; Winarso, Gathot; Ginting, Devica N. BR.; Manessa, M.D.M.; Surahman, Surahman; Anggraini, Nanin; Hartuti, Maryani; Asriningrum, Wikanti; Parwati, Ety
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 18 No. 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v18i1.3361

Semi-Analytical methods for detecting bathymetry using medium resolution satellite image data is the development of methods for determining satellite-based bathymetry. This method takes into account the principle of the propagation of light waves in water and the intensity of incident light which decreases according to the increase in depth traversed. The satellite image used is SPOT 7. The image is the latest generation of SPOT satellites which have 4 multispectral channels with a spatial resolution of 6 meters. Therefore, this high-resolution image is expected to produce bathymetry in shallow marine waters more accurately. Semi-analytical methods used to detect bathymetry are Benny and Dawson's methods. This method uses a comparison of the reflectance value between deep water and shallow water by taking into account the approach of the water column attenuation coefficient and the elevation angle of the satellite. The purpose of this study is to detect bathymetry in shallow sea waters. The study area is Karimunjawa Island coastal waters, Jepara, Central Java. The data used is the SPOT 7 acquisition image dated 18 May 2017 has been analysed, in situ depth data as well as tide data. The results showed that off the three SPOT 7 channels, the depth range of 0 - 11.45 meters for the blue channel band, 0 - 10.49 meters for the green channel and 0 - 9.72 meters for the channel red. The accuracy of the bathymetry detection results from the green channel shows quite good results to a depth of less than 5 meters. Green channel parameters of the Benny Dawson algorithm used are 0.3274 for Ld, 0.8932 for Lo, attenuation coefficient of 0.823 and Cosec E '0.6311272.

Pemanfaatan Data Satelit Sentinel-1 dan Sentinel-2 untuk Deteksi Kapal Transhipment di Perairan Bintan Aprianto, Rizqi Naufal; Sahar, Fahmi; Hartuti, Maryani; Pinardi, Sofia; Ramza, Harry
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 2 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i2.3190

Perairan Indonesia memiliki aktivitas pelayaran yang sangat tinggi, sehingga memerlukan sistem pemantauan yang andal untuk mendukung keselamatan navigasi, pengawasan maritim, dan pengelolaan sumber daya laut. Penelitian ini bertujuan untuk memanfaatkan data Sentinel-1, Sentinel-2, dan Automatic Identification System (AIS) dalam mendeteksi kapal di perairan Bintan. Deteksi kapal dari citra Sentinel-1 dilakukan dengan algoritma Constant False Alarm Rate (CFAR), yaitu teknik deteksi objek berbasis ambang batas dan klasifikasi untuk membedakan kapal dari latar perairan. Pada citra Sentinel-2, digunakan metode interpretasi visual untuk mengidentifikasi dugaan aktivitas transhipment. Data AIS digunakan sebagai acuan untuk memverifikasi posisi dan jenis kapal yang terdeteksi. Hasil penelitian menunjukkan bahwa integrasi data Sentinel-1, Sentinel-2, dan AIS mampu meningkatkan akurasi dalam identifikasi kapal, termasuk kapal yang tidak dilengkapi perangkat AIS. Tercatat lima kejadian dugaan transhipment pada 13 September 2024 dan tujuh kejadian pada 12 November 2024. Hasil ini menjadi dasar awal bagi pihak pengamanan maritim untuk melakukan analisis lebih lanjut guna mendukung pengambilan keputusan yang tepat.

DETEKSI SEBARAN MUATAN PADATAN TERSUSPENSI DENGAN MODEL EMPIRIS DAN MODEL SEMI-ANALITIK DI PERAIRAN BEKASI Afgatiani, Pingkan Mayestika; Hartuti, Maryani; Budhiman, Syarif
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 12 No. 2 (2020): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v12i2.28138

One of the parameters in water quality is total suspended solids (TSS). TSS consists of mud and microorganisms caused by erosion of soil flowed into water bodies. This study aimed to detect suspended sediments in Bekasi coastal water by comparing empirical and semi-analytic models. Landsat 8 was used for analysis of suspended solids using the Google Earth Engine platform. The workflow of this study consisted of land masking by area delineation using surface reflectance image data, TSS analysis, and visualization. Then validation was done with in situ data, model selection and time series implementation. TSS detection results were displayed with a different color display according to the concentration. Validation test results with in situ data showed that the value of the Semi-Analytical Absolute Error (NMAE) model was closer to the minimum requirement of 66.8%, far different from the empirical model of 43768%. The value of Root Mean Square Error (RMSE) also showed that the semi-analytic model produced a much smaller value of 51.4 and the empirical model of 58577.2. This showed that the semi-analytic model has a better value in detecting the distribution of TSS. Time series analysis showed that the distribution of MPT in 2015 - 2019 in coastal waters had a very high TSS distribution, due to the number of ponds and river estuaries. Therefore, semi-analytical model was more recommended for estimating TSS concentrations than empirical model.

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