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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis BIOTROPIA - The Southeast Asian Journal of Tropical Biology International Journal of Remote Sensing and Earth Sciences (IJReSES)
Vincentius Siregar
SEAMEO BIOTROP
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Earth & Planetary Sciences Immunology & microbiology Library & Information Science Veterinary

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VERTICAL LAND MOTION AND INUNDATION PROCESSES BASED ON THE INTEGRATION OF REMOTELY SENSED DATA AND IPCC AR5 SCENARIOS IN COASTAL SEMARANG, INDONESIA Nandika, Muhammad Rizki; Susilo, Setyo Budi; Siregar, Vincentius
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 16, No 2 (2019)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.882 KB) | DOI: 10.30536/j.ijreses.2019.v16.a3272

Abstract

Vertical land motion (VLM) is an important indicator in obtaining information about relative sea-level rise (SLR) in the coastal environment, but this remains an area of study poorly investigated in Indonesia. The purpose of this study is to investigate the significance of the influence of VLM and SLR on inundation. We address this issue for Semarang, Central Java, by estimating VLM using the small baseline subset time series interferometry SAR method for 24 Sentinel-1 satellite data for the period March 2017 to May 2019. The interferometric synthetic aperture radar (InSAR) method was used to reveal the phase difference between two SAR images with two repetitions of satellite track at different times. The results of this study indicate that the average land subsidence that occurred in Semarang between March 2017 and May 2019 was from (-121) mm/year to + 24 mm/year. Through a combination of VLM and SLR scenario data obtained from the Intergovernmental Panel on Climate Change (IPCC), it was found that the Semarang coastal zone will continue to shrink due to inundation (forecast at 7% in 2065 and 10% in 2100).
KLASIFIKASI HABITAT PERAIRAN DANGKAL BERBASIS OBJEK MENGGUNAKAN CITRA WORLDVIEW 2 DAN SENTINEL 2B DI PERAIRAN KEPULAUAN SERIBU Kurniawati, Esty; Siregar, Vincentius; Nurjaya, I Wayan
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.v12i2.26089

Abstract

The benthic habitats of shallow waters of Sebaru Island and Lancang Island have different water characteristics from geographical location. Data and information about benthic habitat are needed to maintain and preserve ecosystems in the waters. This study aims is to know the effect of different satellite image resolution, different algorithms and water quality e.g chlorophyll-a (Chl-a) and total suspended solid (TSS) on the accuracy of shallow-water benthic habitats mapping on Sebaru Besar Island and Lancang Island. The accuracy (OA) of the application of different classification algorithms showed a good results. The highest OA results in shallow waters of Sebaru Island with Wordview 2 imagery were obtained from the SVM and DT algorithms with the same value of 76.24%, while the Sentinel 2B image with the DT algorithm obtained results (OA) of 68.08%. In Lancang Island the highest OA value of Wordview 2 imagery was obtained by DT algorithm with a value of 74.44%, while Sentinel 2B imagery was obtained from KNN algorithm with a value of 59.0%. High concentrations of Chl-a and TSS cannot yet be said to affect the low accuracy in mapping shallow water benthic habitats.
Klasifikasi Habitat Dasar Berbasis Objek di Perairan Dangkal Karang Lebar dan Pulau Lancang: Classification of Benthic Habitat based on Object in Shallow Waters of Karang Lebar and Lancang Island Siregar, Vincentius; Nababan, Bisman; Utama, Pria Wibawa
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 15 No. 2 (2023): 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.v15i2.36036

Abstract

Teknik klasifikasi berbasis objek (OBIA) merupakan salah satu teknik pemetaan habitat bentik selain metode konvensional (berbasis piksel). Pemetaan metode OBIA dengan memanfaatkan algoritma machine learning terbatas pada perairan Karang Lebar dan Pulau Lancang. Penelitian ini bertujuan untuk mengetahui performa algoritma machine learning (support vector machine (SVM), decision tree (DT), random forest (RF), dan k-nearest neighbour (KNN) dalam mengklasifikasikan habitat bentik perairan dangkal berdasarkan objek menggunakan data satelit Sentinel-2. Metode klasifikasi yang digunakan adalah metode OBIA dengan dua tingkatan analisis. Hasil analisis Agglomerative Hierarchial Clustering diperoleh sebanyak 6 kelas habitat bentik yaitu karang, patahan karang (rubble), lamun, pasir rubble, dan pasir. Tingkat pertama adalah memisahkan darat, laut dangkal dan laut lebih dalam. Tingkat kedua adalah klasifikasi menggunakan algoritma machine learning, hasil klasifikasi menunjukkan alogritma SVM mendapatkan nilai akurasi yang lebih tinggi dibandingkan algoritma lainnya dengan akurasi sebesar 84% di perairan Karang Lebar, kemudian pada perairan Pulau Lancang mendapatkan akurasi sebesar 80% dengan algoritma SVM. Habitat dasar perairan dangkal Karang Lebar dan Pulau Lancang mampu dipetakan dengan baik menggunakan metode OBIA. Perbedaan tingkat akurasi antara perairan Karang Lebar dan Pulau Lancang disebabkan oleh tingkat kekeruhan perairan.
Primary Productivity of Jakarta Bay in A Changing Environment: Climate Change and Anthropogenic Impacts Siregar, Vincentius; Koropitan, Alan F.
BIOTROPIA Vol. 20 No. 2 (2013): BIOTROPIA Vol. 20 No. 2 December 2013
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1436.698 KB) | DOI: 10.11598/btb.2013.20.2.380

Abstract

Jakarta Bay receives direct impact from the rapid development of infrastructure and landbased industries which contributed to the increase in pollution and nutrient, and at the same time facing climate change. This condition influenced growth of chlorophyll- and primary production. To investigate changes of primary production in Jakarta Bay due to anthropogenic and climate change impacts, a field measurement, laboratory experiment and collection of several data sets have been conducted. The study showed that impact of anthropogenic, particularly sediment load from the land to primary production is important. The intensification of primary production occurs in the middle region of Jakarta Bay, while the chlorophyllconcentration is high in the river mouth area. The anthropogenic impact is indicated by the land use change that has increased to 73% during the last ten years. The laboratory experiments by injecting CO in the waters, as a global warming simulation, have shown a decrease in chlorophyll- and primary production. Therefore, the combination of anthropogenic and climate changemay have a double impact on the Jakarta Bay ecosystem.Key words: Primary production, Jakarta Bay, anthropogenic, climate change, impact
Co-Authors Alan Frendy Koropitan Bisman Nababan ESTY KURNIAWATI I Wayan Nurjaya Nandika, Muhammad Rizki Setyo Budi Susilo Utama, Pria Wibawa