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Dissolved Oxygen in the East Bolaang Mongondow Waters, North Sulawesi Patty, Simon I.; Rizqi, Marenda Pandu; Huwae, Rikardo
Jurnal Ilmiah Platax Vol. 10 No. 1 (2022): ISSUE JANUARY-JUNE 2022
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v10i1.40434

Oxygen in seawater comes from the air through diffusion and photosynthesis. This study aims to determine the dissolved oxygen content, NAEC (Normal Atmospheric Equilibrium Concentration), and AOU (Apparent Oxygen Utilization) in East Bolaang Mongondow waters. The analysis showed that the dissolved oxygen content in the surface layer ranged from 6.01-7.05 mg/l; 5.91-6.98 mg/l (5 m depth); and 5.75-6.90 mg/l (near bottom depth). NAEC is closely related to water temperature and implicitly increases with depth. The highest NAEC value of 5.90 mg/l (t=28.0ÂºC) was found at the bottom depth, and the lowest NAEC of 5.63 mg/l (t=30.0ÂºC) was found at the surface layer. The dissolved oxygen saturation level of more than 100% and the average positive AOU value at 0.59-0.81 mg/l describe the amount of oxygen available in the surface layer.Keywords: Dissolved Oxygen; Normal Atmospheric Equilibrium Concentration (NAEC); Apparent Oxygen Utilization (AOU); East Bolaang Mongondow.AbstrakOksigen dalam air laut bersumber dari udara melalui proses difusi dan hasil fotosintesis. Penelitian ini bertujuan untuk mengetahui kandungan oksigen terlarut, NAEC (normal atmospheric equilibrium concentration) dan AOU (apparent oxygen utilization) di perairan Bolaang Mongondow Timur. Hasil analisis menunjukkan bahwa kandungan oksigen terlarut di lapisan permukaan berkisar antara 6,01-7,05 mg/l; kedalaman 5 meter 5,91-6,98 mg/l dan dekat dasar 5,75-6,90 mg/l. NAEC sangat berhubungan dengan suhu air dan secara implisit konsentrasinya akan semakin tinggi dengan bertambahnya kedalaman. Nilai NAEC tertinggi 5,90 mg/l (t=28,0ÂºC) ditemukan pada kedalaman dekat dasar danÂ NAEC terendah 5,63 mg/l (t=30,0ÂºC) ditemukan pada lapisan permukaan. Tingkat kejenuhan oksigen terlarut >100 % dan rata-rata nilai AOU positif (0.59-0.81 mg/l) menggambarkan banyaknya kandungan oksigen yang tersedia pada lapisan permukaan.Kata kunci: oksigen terlarut; normal atmospheric equilibrium concentration (NAEC); apparent oxygen utilization (AOU); Bolaang Mongondow Timur.

Analysis of Mangrove Vegetation and Distribution Using Landsat 8 Images In Bolaang Mongondow East, North Sulawesi Patty, Simon I.; Nurdiansah, Doni; Rizqi, Marenda Pandu; Huwae, Rikardo
Jurnal Ilmiah Platax Vol. 10 No. 2 (2022): ISSUE JULY-DECEMBER 2022
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v10i2.41069

Mangrove is one of the objects that can be identified by remote sensing technology using satellite imagery. Analysis of the distribution and density of mangrove vegetation using Landsat 8 imagery was carried out in Bolaang Mongondow Timur, North Sulawesi in September 2020. This study aims to map the distribution of mangroves and determine the correlation between NDVI values, canopy cover, and mangrove density. The data analysis used Landsat 8 images with ENVI 5.3 and ArcGIS 10.1 software. Maximum likelihood classification is used to separate mangrove and non-mangrove features. The calculation of mangrove vegetation density using the NDVI algorithm and single-channel classification using the density slice method to divide mangrove density based on the range of pixel values of the NDVI image. Next, to test the accuracy of the classification results using an error matrix (confusion matrix) and the NDVI vegetation index correlation test compared with canopy cover and density data. The classification resulted in four different land cover classes with an overall accuracy of 97.70% and a kappa coefficient of 0.9688. The mangrove vegetation distribution from the classification results is 524.75 ha. The NDVI correlation with the percentage of canopy cover is very significant with a correlation coefficient (r) = 0.9516, while the NDVI correlation with density resulted in moderate correlation (r = 0.5315).Keywords: density; mangrove; Landsat 8; NDVIÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â AbstrakMangrove merupakan salah satu objek yang dapat diidentifikasi menggunakan teknologi penginderaan jauh yakni memanfaatkan citra satelit. Analisis sebaran dan kerapatan vegetasi mangrove menggunakan citra Landsat 8 telah dilakukan di Bolaang Mongondow Timur, Sulawesi Utara pada bulan September 2020. Penelitian ini bertujuan untuk memetakan sebaran mangrove dan mengetahui hubungan korelasi antara nilai NDVI dengan tutupan kanopi dan kerapatan mangrove. Pengolahan data citra Landsat 8 dengan perangkat lunak ENVI 5.3 dan ArcGIS 10.1. Klasifikasi maximum likelihood digunakan untuk memisahkan fitur mangrove dan non mangrove. Perhitungan kerapatan vegetasi mangrove dengan algoritma NDVI dan klasifikasi saluran tunggal menggunakan metode density slice untuk membagi kerapatan mangrove berdasarkan rentang nilai piksel citra NDVI. Uji akurasi hasil klasifikasi menggunakan matriks kesalahan (confussion matriks) dan uji korelasi indeks vegetasi NDVI dengan data tutupan kanopi dan kerapatan. Hasil klasifikasi mendapatkan empat kelas tutupan lahan yang berbeda dengan overall akurasi sebesar 97,70 % dengan kappa coefisien sebesar 0,9688. Luas sebaran vegetasi mangrove dari hasil klasifikasi adalah 524,75 ha. Korelasi NDVIÂ dengan persentase tutupan kanopi termasuk korelasi sangat kuat dengan koefisien korelasi r = 0,9516 sedangkan korelasi NDVIÂ dengan kerapatan termasuk korelasi sedang (r = 0,5315).Kata kunci: kerapatan; mangrove; Landsat 8; NDVIÂ

Temperature, Salinity and Dissolved Oxygen West and East seasons in the waters of Amurang Bay, North Sulawesi Patty, Simon I.; Huwae, Rikardo
Jurnal Ilmiah Platax Vol. 11 No. 1 (2023): ISSUE JANUARY-JUNE 2023
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v11i1.46651

Observations of temperature, salinity, and dissolved oxygen have been carried out in Amurang Bay waters, North Sulawesi. This study aims to determine the temperature, salinity, and dissolved oxygen during the west and east seasonal monsoons. The statistical analysis results using the t-test showed that the temperature, salinity, and dissolved oxygen in the West monsoon with the east monsoon were significantly different. Temperature, salinity, and dissolved oxygen in the west monsoon are lower than in the east. Variations in temperature, salinity, and dissolved oxygen are influenced by atmospheric conditions, weather, rainfall, and current patterns. Implicitly, temperature and salinity can affect the solubility of oxygen in the East monsoon. The value of AOU (Apparent Oxygen Utilization) in the west monsoon is less than 0.00 mg/l (negative), which indicates that oxygen is very much needed for the process of respiration and decomposition of organic substances during the west monsoon. Keywords: oceanographic conditions, temperature, salinity, dissolved oxygen, Amurang Bay.

Analysis of Mangrove Vegetation Index Using Landsat 8 Images in Dodinga Bay, West Halmahera Patty, Simon I.; Nurdiansah, Doni; Rizqi, Marenda Pandu; Akbar, Nebuchadnezzar; Huwae, Rikardo
Jurnal Ilmiah Platax Vol. 13 No. 1 (2025): ISSUE JANUARY-JUNE 2025
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v13i1.60830

Mangrove vegetation can be easily recognized from remote-sensing satellite images compared to other terrestrial vegetation. The vegetation index is applied to the satellite images to highlight the aspect of vegetation density. This study aims to determine the correlation between the value of the vegetation index and mangrove canopy cover data to achieve a proper vegetation index to estimate the density of the mangrove canopy. The data needed are satellite imagery from Landsat 8 and mangrove canopy cover in sampling locations along the coast of Dodinga Bay, West Halmahera. Image data analysis includes radiometric correction, image sharpening, masking, classification, and accuracy tests. The vegetation index algorithms used were NDVI, GNDVI, and IM, and regression analysis was carried out for correlation tests. The analysis results obtained four different land cover classes with an overall accuracy of 97.70% and a kappa coefficient of 0.9688. The IM vegetation index showed an excellent correlation with mangrove canopy cover compared to GNDVI and NDVI. The determination coefficient (R²) of the IM is 0.6765; GNDVI (0.4897) and NDVI (0.4825). The IM classification produces four levels of mangrove canopy density, i.e., sparse (7.40 ha), moderate (628.33 ha), dense (921.22 ha), and very dense (16.45 ha). Keywords: mangrove, Landsat 8 images, vegetation index, Dodinga Bay Abstrak Objek vegetasi mangrove paling mudah diidentifikasi dengan menggunakan citra satelit penginderaan jauh dibandingkan objek vegetasi darat lainnya. Indeks vegetasi diterapkan terhadap citra untuk menonjolkan aspek kerapatan vegetasi. Penelitian ini bertujuan mengetahui korelasi antara nilai indeks vegetasi dengan data tutupan kanopi mangrove, sehingga didapatkan indeks vegetasi yang sesuai untuk menduga kerapatan kanopi mangrove. Data yang diperlukan yaitu citra Landsat 8 dan tutupan kanopi mangrove di lapangan. Analisis data citra terdiri dari koreksi radiometrik, penajaman citra, masking, klasifikasi dan uji akurasi. Algoritma indeks vegetasi yang digunakan yaitu NDVI, GNDVI dan IM, serta dilakukan analisis regresi untuk uji korelasi. Hasil analisis mendapatkan empat kelas tutupan lahan yang berbeda dengan overall akurasi sebesar 97,70 % dan kappa coefisien sebesar 0,9688. Indeks vegetasi IM menunjukkan korelasi sangat baik dengan tutupan kanopi mangrove dibandingkan GNDVI dan NDVI. Koefisien determinasi (R²) IM adalah 0,6765; GNDVI (0,4897) dan NDVI (0,4825). Klasifikasi IM menghasilkan empat tingkat kerapatan kanopi mangrove yaitu mangrove jarang (7,40 ha), mangrove sedang (628,33 ha), mangrove lebat (921,22 ha), dan mangrove sangat lebat (16,45 ha). Kata kunci: mangrove, citra Landsat 8, indeks vegetasi, Teluk Dodinga

Struktur Populasi dan Pola Pertumbuhan Ikan Ekonomis Penting di Padang Lamun Perairan Tanjung Merah Huwae, Rikardo; Yalindua, Fione Y; R, Marenda Pandu; Akbar, Nebuchadnezzar
Jurnal Ilmu Kelautan Kepulauan Vol 7, No 1 (2024): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v7i1.8344

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