Articles
<![CDATA[Efektifitas Rehabilitasi Hutan Mangrove di Pulau Dompak, Kota Tanjungpinang, Provinsi Kepulauan Riau ]]>
<![CDATA[Azizah, Diana]]>;
<![CDATA[Jaya, Yales Veva]]>
<![CDATA[ Akuatiklestari Vol 1 No 1 (2017): Jurnal Akuatiklestari ]]>
Publisher : <![CDATA[Program Studi Manajemen Sumberdaya Perairan, Fakultas Ilmu Kelautan dan Perikanan, Universitas Maritim Raja Ali Haji ]]>
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DOI: 10.31629/akuatiklestari.v1i1.2356
<![CDATA[Penelitian ini bertujuan untuk menghitung tingkat efektifitas kegiatan rehabilitasi penanaman bibit mangrove di Pulau Dompak, Kota Tanjungpinang, Provinsi Kepulauan Riau. Metode yang dilakukan mengacu pada P-Dirjen BPDAS dan Hutsos No.P.1/V-SET/2013. Efektifitas dihitung dalam satuan persentase yang meliputi pengukuran luas tanaman, jumlah dan jenis tanaman serta persentase tumbuh tanaman sehat. Berdasarkan hasil survey yang dilakukan di Kelurahan Tanjung Ayun, maka hasil penanaman bibit mangrove pada seluas 50 Ha area rehabilitasi selama penanaman awal (P0) hingga tahun berikutnya (P1) dengan jenis tanaman yang berhasil adalah Rhizophora sp dan rataan nilai keberhasilan tumbuh tanaman sehat yang efektif adalah 75,89%. Berdasarkan hasil tersebut dapat diketahui bahwa efektifitas keberhasilan kegiatan rehabilitasi mangrove di Pulau Dompak memperoleh kategori baik dan berhasil.]]>
<![CDATA[PEMODELAN POLA ARUS DI KAWASAN PESISIR PANTAI KAWAL KABUPATEN BINTAN ]]>
<![CDATA[Sarmada, Iqbal Faiz]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Putra, Risandi Dwirama]]>;
<![CDATA[Suhana, Mario Putra]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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DOI: 10.0391/dinamikamaritim.v7i1.591
<![CDATA[Research on current pattern modeling has been carried out in the Kawal coastal area of Bintan Regency. Kawal Beach is a tourist area, settlement and anchorage for fishing boats. These conditions will have an impact on the sustainability of coastal activities and conditions such as abrasion, sedimentation and shoreline changes. The purpose of this study was to look at the movement patterns of currents generated by tides, winds and analyze the current phenomena that occur in the coastal area of the guard. This flow modeling is carried out for 5 days using software MIKE 21 by entering wind, tidal parameters as a current modeling generator force. Research results in getting currents in the coastal area of Kawal are classified as tidal currents. Current movement at high tide tends towards South-Southwest, while at low tide the movement pattern of the current leads to the North. Current conditions at the highest tide range between 0.6 - 1.80 m / s and relatively the same as current conditions when heading for the lowest ebb with a velocity value between 0.4 - 1.80 m / s.]]>
<![CDATA[PEMETAAN BATHIMETRI MENGGUNAKAN SINGLEBEAM ECHOSOUNDER DI PERAIRAN PULAU SALI KABUPATEN HALMAHERA SELATAN ]]>
<![CDATA[Gusman, Putri Zakia]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Febrianto, Try]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[Bathymetry is a measurement for the deepness of sea. The Sali Island are one of the destinations island for sightseeing, which means that there are many ships or speedboats passing through to escort tourists. The purpose of this study was to map the bathymetry of Sali Island’s waters based on the results of singlebeam echosounder measurements in the form of 2D and 3D maps. Bathymetric mapping is done in the Sali Island’s waters, South Halmahera Regency on 7-25 March 2017.Bathymetry data is obtained from singlebeam echosounder MK III measurements that were corrected for tidal values. Tides are analyzed using the Admiralty method. Data was processed using MapInfo Professional 10 software, Surfer 11. Based on this study, the depth of Sali Island’s waters ranged from 20-260 m which had a diverse seabed shape that was sloping and steep with mixed tidal types inclined to double daily.]]>
<![CDATA[POLA PERUBAHAN GARIS PANTAI DI PULAU DOMPAK PERIODE 2005-2015 ]]>
<![CDATA[Hidayah, Ricky Try Noer]]>;
<![CDATA[Putra, Risandi Dwirama]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Suhana, Mario Putra]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[Tujuan penelitian ini untuk mengetahui perubahan dan panjang garis pantai di pulau Dompak Kota Tanjungpinang. Penelitian ini dilakukan dengan metode pengolahan citra dari 2 data citra Landsat 7 dan 8 bertipe level 1. Metode yang digunakan yaitu dengan melakukan koreksi radiometrik, koreksi atmosferik, koreksi pasang surut sehingga diperoleh data perubahan garis pantai. Selanjutnya analisis perubahan garis pantai pada tahun 2005-2015 dilakukan dengan menggunakan perangkat lunak Digital Shoreline Analysis System (DSAS). Dari penelitian ini didapatkan bahwa pantai Pulau Dompak mengalami perubahan garis pantai baik sedimentasi maupun abrasi. Pada tahun 2005-2015 rata-rata perubahan garis pantai Pulau Dompak per tahun adalah abrasi dengan nilai 0.30 m. Dengan demikian pola perubahan garis pantai di Pulau Dompak adalah abrasi.]]>
<![CDATA[GLOBAL WARMING DAN PENGARUHNYA TERHADAP KARAKTERISTIK GELOMBANG LAUT DI PANTAI TIMUR PULAU BINTAN YANG DITINJAU DARI PERSPEKTIF KLIMATOLOGI ]]>
<![CDATA[Illona, Dea Jessi]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Koenawan, Chandra Joei]]>;
<![CDATA[Suhana, Mario Putra]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[The influence of global warming has impact on physics oceanographic conditions such as rising sea surface temperature (SST). Beside that, the increase of temperature will affect to climate change which also increase the global wind speed so it will has implied for future ocean wave height. In this study aims to determine the characteristics of ocean wave at the east coast Bintan Island. Hind casting of ocean wave start by processing sea surface wind by downloaded from European Centre for Medium-Range Weather Forecasts (ECMWF), data will be extracted through Ocean Data View (ODV) and analyzed by using wind rose. The characteristic of wind used for calculation effective fetch length for referred to Sverdrup Munk Bretschneider (SMB) method. Fluctuation of SST will be compared to ocean wave height. Result of this study showed that there were differences in the character of ocean waves on a small scale between 1985-1989 as the year that rising temperature have not yet assumed significantly and 2001-2005 temperature begin increase intensively. The pattern of ocean wave at the east coast Bintan Island effected by seasonal wind that moves periodically with the two highest wind speed from north and south, along with lowest speed is during the transition.]]>
<![CDATA[KAJIAN SUHU PERMUKAAN LAUT BERDASARKAN DATA CITRA SATELIT NOAA-AVHRR DAN DATA ARGO FLOAT DI PERAIRAN SELATAN JAWA ]]>
<![CDATA[Akhbar, Ade Imam]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Febrianto, Try]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[Sea surface temperature is one of the important oceanographic parameters, sea surface temperature in the southern sea of Java, including one of the sea that get the influence of the monsoon system which causes sea surface temperatures in the southern sea of Java are always changing. The aim this study was to determined sea surface temperature in southern sea of Java based on NOAA-AVHRR image data analysis and Argo Float analysis, the difference in sea surface temperature from NOAA-AVHRR image data with Argo Float. This research was conducted with image processing method from 7 NOAA-AVHRR image data of type level 1B, processed sea surface temperature algorithm by McMillin & Crosby. Argo Float is processed with Ocean Data Software View Version 4.7.3. to get temperature profile and the top layer temperature is assumed be sea surface temperature from Argo Float. The results of this study indicate the value of sea surface temperature from NOAA-AVHRR image is lower than Argo Float data with a difference of 1.01 ° C to 1.41 ° C at 7 observation data.]]>
<![CDATA[ANALISIS DIGITAL CITRA LANDSAT UNTUK DETEKSI PERUBAHAN GARIS PANTAI TRIKORA KABUPATEN BINTAN ]]>
<![CDATA[Ichsan, Rafiqul M]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Putra, Risandi Dwirama]]>;
<![CDATA[Suhana, Mario Putra]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[Trikora beach is a coastal area with a diverse set of potential in Bintan. Remote sensing is a technique of detection of an object with a high efficiency level. Information changes the shoreline is required to review the management of the territory. Research on probe coastline changes using Landsat satellite imagery with combine method of Single Band 5 Threshold and Band Ratio the calculate of changes the coastline by Digital Shorline Analysis System. Final results of calculation changes accretion of Trikora coastline caused by the influence of human activity such as infrastructure development and changes of the land function this occurs most obviously seen in the period of the year 1995-2005. The abrasion phenomena for the Trikora Beach caused by natural factors such as wave, changes in the pattern of currents, tidal variations and climate change, this happened during on 1990-1995 years.]]>
<![CDATA[PEMETAAN ZONA POTENSIAL PENANGKAPAN IKAN BERDASARKAN CITRA SATELIT AQUA/TERRA MODIS DI PERAIRAN SELATAN PULAU JAWA ]]>
<![CDATA[Munthe, Masri Ginting]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Putra, Risandi Dwirama]]>
<![CDATA[ Dinamika Maritim Vol 7 No 1 (2018): Dinamika Maritim, Vol. 7 No. 1, August 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[Remote sensing is technique to observe oceanographic parameters such as sea surface temperature and chlorophyll-a concentration without contact with objects. Remote sensing techniques have excellence ability in analyzing large area and resolve to take retrieval data is more efficient. Remote sensing can combined with geographical information system to determine the potential fishing zone (ZPPI). The southern sea of Java Island is potential fishing areas in Indonesia. The purpose of this study to determine potential fishing zone by observe condition the seas which habitat species using the parameters of sea surface temperature (SPL) and chlorophyll-a concentration (CHL) parameters. Sea surface temperature and chlorophyll-a concentration are important parameters for identify potential fishing zones. The method used in study analysis of sea surface temperature and chlorophyll-a concentration using AQUA/TERRA MODIS satellite imagery data processed on ENVI, ErMapper, and ArcGIS software. The sea of South Java are 166 potential fishing zones. spread evenly from Banten to East Java it can be conclude that the southern sea of Java Island are still in good condition and deserve to be potential fishing zone.]]>
<![CDATA[VARIABILITAS SPASIAL SUHU PERMUKAAN LAUT PULAU BINTAN PROVINSI KEPULAUAN RIAU PADA EMPAT MUSIM BERBEDA ]]>
<![CDATA[Zulfikar, Zulfikar]]>;
<![CDATA[Jaya, Yales Veva]]>;
<![CDATA[Pratomo, Arief]]>;
<![CDATA[Putra, Risandi Dwirama]]>;
<![CDATA[Suhana, Mario Putra]]>
<![CDATA[ Dinamika Maritim Vol 6 No 2 (2018): Dinamika Maritim, Vol. 6 No. 2, February 2018 ]]>
Publisher : <![CDATA[Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia ]]>
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<![CDATA[Informasi suhu permukaan laut (SPL) dalam bidang perikanan memiliki peran yang sangat penting. Data SPL ECMWF sangat baik untuk melihat perubahan SPL secara berkala. Selain berpengaruh terhadap aktivitas metabolisme dan perkembangan suatu organisme suhu permukaan laut (SPL) merupakan faktor penting yang mempengaruhi dinamika iklim global. Tujuan dari penelitian ini adalah untuk menganalisis dan memetakan sebaran suhu permukaan laut di perairan Pulau Bintan. Metode penelitian ini menggunakan analisis suhu permukaan laut secara temporal berdasarkan fluktuasi SPL bulanan dan musiman dalam bentuk grafik deret waktu, dan analisis spasial berdasarkan visualisasi peta sebaran rata-rata SPL musiman. Hasil penelitian menunjukan bahwa variasi temporal SPL tahun 2015-2016 di perairan Pulau Bintan cenderung mengalami peningkatan. Variabilitas nilai SPL di perairan Pulau Bintan dipengaruhi oleh musim, SPL pada musim timur dan musim peralihan barat-timur cenderung lebih tinggi dibandingkan dengan SPL pada musim barat dan musim peralihan timur-barat. Sebaran spasial SPL di perairan dekat pesisir cenderung lebih tinggi dibandingkan dengan SPL di perairan jauh pesisir atau lepas pantai. Secara spasial, perairan dekat pesisir memiliki suhu yang lebih tinggi dibandingkan dengan perairan lepas pantai. Suhu permukaan laut di perairan Pulau Bintan juga cenderung mengalami fluktuasi berdasarkan musim. Pada musim peralihan barat-timur dan musim peralihan timur rata-rata suhu permukaan laut cenderung lebih tinggi dan sebaliknya pada musim barat dan musim peralihan timur-Barat rata-rata suhu permukaan laut cenderung mengalami penurunan.]]>
