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PEMANFAATAN CITRA SATELIT UNTUK MEMANTAU DINAMIKA MASSA AIR PERMUKAAN DI SELAT MAKASSAR Pasaribu, Riza Aitiando; Gaol, Jonson Lumban; Manurung, Djisman
MAJALAH ILMIAH GLOBE Vol 15, No 2 (2013)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.343 KB) | DOI: 10.24895/MIG.2013.15-2.78

Abstract

ABSTRAKSalah satu hal yang menarik untuk dikaji mengenai perairan Indonesia adalah dengan adanya istilah yangmendunia yaitu Indonesian Through Flow atau yang dikenal dengan istilah Arus Lintas Indonesia (ARLINDO). Melaluipemahaman tentang oseanografi terutama oseanografi fisika maka dapat dipelajari kondisi fisik suatu wilayah perairanbeserta karakteristik dari perairan tersebut. Saat ini parameter oseanografi fisika dapat dideteksi denganmenggunakan teknologi penginderaan jauh. Penelitian ini bertujuan untuk memantau dinamika massa air permukaandi Perairan Selat Makassar dengan menggunakan potensi dan pemanfaatan teknologi penginderaan jauh. Data yangdigunakan dalam penelitian ini adalah data citra satelit Terra dan Aqua MODIS level 1 dengan resolusi 1 km dalamformat Hierarchical Data Format (HDF). Data sebaran Suhu Permukaan Laut (SPL) adalah data harian selama duatahun (2009-2010) dengan citra SPL untuk mendapatkan data time series. Data pendukung yang diambilmenggunakan teknologi penginderaan jauh adalah curah hujan, kecepatan dan arah angin yang merupakan datasekunder. Setiap bulan ada 2 sampai 3 data harian yang layak untuk diolah, hal yang menjadi kendala paling besaradalah banyaknya citra yang tertutup awan sehingga data yang didapat tidak dapat menggambarkan kondisi PerairanSelat Makassar. Dinamika massa air permukaan yang menunjukkan pergerakan massa air permukaan terlihat melaluipola SPL yang terbentuk di Selat Makassar. Massa air permukaan bergerak dari utara ke selatan perairan terdeteksidi Bulan Maret 2010 dan dari selatan ke utara di Bulan Juni 2010.Kata Kunci: Massa Air Permukaan, Selat Makassar, MODIS, Suhu Permukaan Laut.ABSTRACTStudy on Indonesia Through Flow of Makassar Strait is very interesting subjects considering that this term isbocome globally welknown. By understanding its physical oceanography, the characteristic of this waters can belearned. Current technology developments enable scientist to study, physical oceanographic parameters by usingremote sensing technology. This study aims to monitor the dynamics of the surface water mass in Makassar Straitusing the advancement of remote sensing technology. The data used in this study is satellite image data of Terra andAqua Moderate Resolution Imaging Spectroradiometer (MODIS) level 1 with spatial resolution of 1 km stored inHierarchical Data Format (HDF) format. Meanwhile, daily Sea Surface Temperature (SST) data of two consecutiveyears (2009-2010) were used to obtain time series data of the SST. The other supporting data were rainfall data andwind direction and speed. The biggest obstacle found in this study is that many areas were covered by cloud so thatthe images data could not be used to describe the Makassar Strait waters condition. The result of this study thatdynamics of surface water mass that show the movement of surface water mass distribution can be seen from thepatterns of SST in Makassar Strait. Surface water mass at the Makassar Strait moves from north to south in March2010 and was appeared in opposite flow in June 2010.Keywords: Surface Water Masses, Makassar Strait, MODIS, Sea Surface Temperature.
KLASIFIKASI HABITAT PERAIRAN DANGKAL DARI CITRA MULTISPASIAL DI PERAIRAN PULAU KAPOTA DAN PULAU KOMPOONE, KEPULAUAN WAKATOBI Vincentius P. Siregar; Muhammad Siddiq Sangadji; Syamsul B. Agus; Adriani Sunuddin; Riza A. Pasaribu; Esty Kurniawati
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 12 No. 3 (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.v12i3.32013

Abstract

Shallow water habitat mapping is important to do because: (1) it can support the planning, management, and decision making of government spatial; (2) it can support and design a Marine Protected Area (MPA); (3) it can conduct a scientific research program to determine a knowledge about benthic ecosystem and seabed geology; (4) it can do seabed resource valuation, both biotic and abiotic, for economic and management goals. Nowadays, the standardization of thematic map details level in coastal ecosystem has not determined, especially in shallow water habitat based on coastal management needs in certain scale. The study aims to compare map accuracy level between SPOT 6, Sentinel 2A, and Landsat 8 classification results using support vector machine algorithm. The study site is in Wakatobi Island, including Kapota Island and Kompoone Island. The in-situ data took on July 2019. The 347 ground truth and transect images in the field analyzed using Coral Point Count with Excel Extension (CPCe). The classification scheme that was gotten is 8 habitat benthic classes, then conducted classification with classify them to be 6 and 5 classes. The result from SPOT 6 for 5 habitat classes has the highest overall accuracy. The differences between pixel (spatial resolution) and the amount of classification scheme influence accuracy results.
Coastal Inundation Model in the Coastal Area of Palopo City, South Sulawesi Province Riza Aitiando Pasaribu; Pandu Setya Budi; Muhamad Abdul Ghofur Al Hakim; Farel Ahadyatulakbar Aditama; Nurina Hanum Ayuningtyas
Journal of Applied Geospatial Information Vol 5 No 1 (2021): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v5i1.2791

Abstract

The impact of sea-level rise is perceived by many archipelagic countries such as Indonesia. The higher the sea level rises every year, the larger the disaster threat in the coastal area. The current condition of most coastal areas indicates various pressures caused by city development, including the coastal area of Palopo City in South Sulawesi Province. The sea-level rise is suspected to be the cause of coastal inundation in Palopo City which, so far has not been identified. Therefore, this study aims to draw a coastal vulnerability map of sub-districts in Palopo caused by coastal inundation using GIS technology. Analysis of the areas affected by coastal inundation is carried out by processing spatial data. The sub-districts areas affected by coastal inundation are only those located in the coastal zones. The affected area in Bara, Wara Selatan, Wara Utara, Wara Timur, and Telluwana sub-districts are 160.64 ha, 21.41 ha, 73.55 ha, 87.56 ha, and 56.65 ha, respectively. In Bara Sub-district, the areas affected by coastal inundation are residential and mangrove conservation areas. The affected areas in Telluwana Sub-district are residential, production forest, coastal conservation, and mangrove conservation areas. The affected areas in Wara Selatan, Wara Timur, and Wara Utara Sub-districts are all residential areas. By using sea-level rise data of 27 years with its highest tide model, the coastal inundation in 2040 which is predicted to occur in Palopo City can be modeled properly.
PEMETAAN PARTISIPATIF DAN MONITORING PENGELOLAAN KEBUN KEMENYAN MASYARAKAT DESA HUTA PAUNG KECAMATAN POLLUNG Jonson Lumban-Gaol; Bisman Nababan; Riza Aitiando Pasaribu; Muhammad; Ni Putu Ratna Suhita
Jurnal Rekayasa Teknik Sipil dan Lingkungan - CENTECH Vol. 4 No. 1 (2023): Jurnal Rekayasa Teknik Sipil dan Lingkungan, APRIL ISSN 2722-0230 (Online)
Publisher : UKI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/cen.v4i1.4803

Abstract

The community has managed the benzoin forest in Paung Village, Pollung District, for hundreds of years, but the land ownership status is state land. In line with government programs to involve the community in forest management, such as by establishing social forests, it is necessary to conduct preparations such as mapping the boundaries of community forest management. In this community service activity, the boundaries of community benzoin forest management have been mapped with the application of geospatial technology, namely the integration of remote sensing satellite technology and the Global Positioning System (GPS) to determine boundary coordinates. Boundary mapping of the benzoin forest was carried out in a participatory manner by directly involving the community who had conducted activities in the benzoin forest. Based on mapping the boundaries of the Benzoin forest management area, the average area managed by the community is around 2 ha per family. The monitoring results around the benzoin forest show decreased vegetation cover. But the vegetation land cover in the Benzoin forest management area of ​​the Paung village Forest Village community has not changed. The benzoin forest area of ​​the Puang village community is maintained since the community uses benzoin resin, so trees are not cut down.
IDENTIFIKASI BERBAGAI JENIS SAMPAH LAUT DAN PENGELOLAANNYA BERSAMA MASYARAKAT PULAU TIDUNG, KEPULAUAN SERIBU Sri Pujiyati; Endang Sunarwati Srimariana; Dea Fauzia Lestari; Riza Aitiando Pasaribu; Mochamad Tri Hartanto; Nyoman Metta Natih; Rastina Rastina; Steven Solikin; Erwin Maulana
Panrita Abdi - Jurnal Pengabdian pada Masyarakat Vol. 8 No. 1 (2024): Jurnal Panrita Abdi - Januari 2024
Publisher : LP2M Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/pa.v8i1.22001

Abstract

Tidung Island is one of the islands in the Seribu Island area which has marine tourism destinations. To declare the achievement of SDGs no. 6 (Clean water and sanitation) and 14 (Life Below Water), then one of the community service activities (PPM) that can be done is cleaning garbage in the coastal areas. This activity aims to be directly involved in cleaning up garbage on Tidung Island. The method used was going directly to the field as well as conducting direct observations and interviews to find out the sources and types of existing waste and waste management that is already running. The result of this PPM activity is a clean beach on Tidung Island. This activity was carried out to get Tidung Island’s coast clean and healthy so that SDGs no. 6 and 14 can be reached. The results of community service activities show that the community is enthusiastic to carry out waste management independently and with related officers to create the Tidung Island area as marine tourism.  ---  Pulau Tidung adalah salah satu pulau di daerah Kepulauan Seribu yang memiliki destinasi wisata bahari. Dalam rangka mencanangkan capaian SDGs no. 6 (Clean water and sanitation) dan 14 (Life Below Water) maka salah satu kegiatan pengabdian pada masyarakat yang dapat dilakukan adalah pembersihan sampah di wilayah pesisir. Kegiatan ini bertujuan untuk terlibat langsung dalam membersihkan sampah di Pulau Tidung. Metode yang digunakan adalah turun langsung di lapangan sekaligus melakukan pengamatan langsung dan wawancara untuk mengetahui sumber dan macam sampah yang ada serta pengelolaan sampah yang sudah berjalan. Hasil berkegiatan PPM ini yaitu membersihkan pantai di Pulau Tidung.  Kegiatan ini dilakukan untuk mendapatkan pantai Pulau Tidung yang bersih dan sehat sehing-ga dapat tercapainya SDGs no. 6 dan 14. Hasil kegiatan pengabdiam masyarakat menunjukkan masyarakat bersemangat untuk melakukan pengelolaan sampah secara mandiri maupun bersama petugas terkait untuk menciptakan kawasan Pulau Tidung sebagai wisata bahari.
Pemetaan Luasan Mangrove Menggunakan Algoritma Mangrove Vegetation Index (MVI) di Desa Kaliwlingi, Kabupaten Brebes, Jawa Tengah Farahdillah, Reyhanniza Ekka; Pasaribu, Riza Aitiando; Gaol, Jonson Lumban
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20251218219

Abstract

Berdasarkan penelitian sebelumnya, Pesisir Desa Kaliwlingi, Kabupaten Brebes mengalami abrasi sepanjang 7 km dengan luas 186 hektar atau 30% dari luas abrasi di Kabupaten Brebes. Hal tersebut diakibatkan oleh adanya konversi lahan mangrove menjadi tambak yang dapat merusak lahan pantai. Peningkatan abrasi setiap tahun mendorong masyarakat peduli lingkungan melakukan kegiatan konservasi lahan mangrove untuk mengurangi abrasi dan akresi, disepanjang pantai. Penelitian ini bertujuan untuk mengetahui nilai threshold yang memisahkan mangrove dengan non-mangrove dan luasan mangrove. Penelitian ini menggunakan data citra Sentinel-2A dan data lapang hasi survei. Data satelit diolah dan dianalisis menggunakan algoritma Mangrove Vegetation Index (MVI). Simple random sampling digunakan untuk menentukan pengambilan titik lapang yang digunakan sebagai acuan klasifikasi kelas mangrove dan non-mangrove dari citra satelit. Uji akurasi algoritma MVI menggunakan matriks konfusi, dan koefisien kappa. Hasil penelitian menunjukan jenis mangrove di sekitar 4 stasiun penelitian adalah Avicennia marina, Avicennia alba, dan Rhizophora mucronata. Hasil pemetaan menggunakan algoritma MVI menunjukkan nilai threshold MVI mangrove berkisar antara 2,3 hingga 19,54, sementara nilai non-mangrove adalah <2,3 dan >19,54. Luasan mangrove tahun 2022 sebesar 299,3 ha. Uji akurasi algoritma MVI menunjukkan hasil yang baik dengan akurasi keseluruhan sebesar 86,81% dan koefisien kappa sebesar 0,73.   Abstract Based on previous research, Kaliwlingi Village Coastal, Brebes Regency experienced abrasion along 7 km with an area of 186 hectares or 30% of the abrasion area in Brebes Regency. It happened due to the conversion of mangrove land into ponds that can damage coastal land. The increase in abrasion every year encourages people to care about the environment to carry out mangrove land conservation activities to reduce abrasion and accretion, along the coastal. This study aims to determine threshold value that separates class between mangroves and non-mangrove area, then estimate the changing area of mangrove. This study used Sentinel-2A imagery datas and survey field data. Satellite data processed and analyzed, was using the Mangrove Vegetation Index (MVI) algorithm. Simple random sampling used to determine the selection of field points used as a reference for classifying mangrove and non-mangrove classes from satellite images. Test the accuracy of the MVI algorithm used a fusion matrix, and a kappa coefficient. The results showed that the types of mangroves around 4 research stations were Avicennia marina, Avicennia alba, and Rhizophora mucronata. The mapping results used the MVI algorithm showed that the threshold value of mangrove MVI ranged from 2,30 to 19,54, while non-mangrove values were <2,30 and >19,54. The area of mangroves in 2022 has 299,3 ha. The MVI algorithm accuracy test showed good results with an overall accuracy was 86,81% and a kappa coefficient was 0,73.