Article Per Year (5 Year)
p-Index From 2019 - 2024
1.984
P-Index
This Author published in this journals
All Journal JURNAL ILMIAH PLATAX Omni-Akuatika Asian Journal of Aquatic Sciences PELAGICUS: Jurnal IPTEK Terapan Perikanan dan Kelautan Nekton JILPI Jurnal Ilmiah Pengabdian dan Inovasi Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan
Sewiko, Roni
Politeknik Kelautan Dan Perikanan Karawang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Asian Journal of Aquatic Sciences

 1 
MAPPING THE DISTRIBUTION OF MANGROVE BY REMOTE SENSING IN THE COASTAL OF KARAWANG REGENCY Roberto Patar Pasaribu; Aris Kabul Pranoto; Roni Sewiko; Elfa Afwafiah
Asian Journal of Aquatic Sciences Vol 5 No 2 (2022): August 2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.5.2.160-168

Abstract

Mangroves are forest vegetation that grows between tidal lines so that mangrove forests are also called tidal forests. Mangrove ecosystems have high biodiversity. The mangrove ecosystem has a physical function to protect the coast from abrasion and erosion, this ecosystem also has ecological and economic value. The purpose of this study was to determine the condition and extent of mangrove distribution on the coast of Karawang Regency. The research was carried out on the coast of Karawang Regency from March to June 2021. The data used is primary data by directly observing the research location and secondary data using remote sensing data from the Landsat 8 satellite. Image data processing and analysis is carried out using the NDVI (Normalized Difference Vegetation Index) method which can create a boundary between mangrove and non-mangrove. With this method, it can be seen the changes in the mangrove distribution area from year to year. The results of data processing and analysis show that in 2013 the distribution of mangroves on the coast of Karawang Regency has an area of ​​207.88 km2, in 2016 it has an area of ​​357.22 km2 and in 2020 its area is 237.61 km2.
GROWTH RATE OF Nannochloropsis sp ACCORDING TO ADDITING CONCENTRATION OF ZINC (ZN) AND COOPER (CU) Herlina Adelina Meria Uli Sagala; Chrisoetanto P Pattirane; Roni Sewiko; Ully Wulandari; Beta Indi Sulistyowati
Asian Journal of Aquatic Sciences Vol 5 No 3 (2022): December
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.5.3.315-321

Abstract

Zinc and copper are micronutrients that are the factors that support microalgae growth rate besides macronutrients, CO2, temperature, salinity, and pH. Growth of Nannochlopsis sp was observed to determine the influence of the addition of Zn and Cu concentration. Microalgae cultivation was located outdoors on the semi-mass scale using 800 L medium on mesophilic condition in 3 treatments with the addition of 1 ppm, 3 ppm, and 5 ppm concentrations of Zn and Cu metals. Cell density was calculated using a hemocytometer, assays the absorbed metal content was measured by AAS. The study aimed to test the growth response of Nannochloropsis sp cells to Zn and Cu metals. The growth rate of microalgae was observed for the addition of Zn and Cu concentration in the cultivation medium. The result showed the highest Nannochloropsis sp growth rate for Zn addition was 0.053/day and for Cu addition was 0.279/day. Between Zn and Cu addition, the highest growth rate was observed in the addition of 1 ppm Cu metal (Cu1) which was equal to 0.279/day. This shows that adding micronutrients are not automatically will increase the growth rate of microalgae as well.
THE USE OF DRONE AND VISIBLE ATMOSPHERICALLY RESISTANT INDEX (VARI) ALGORITHM IMPLEMENTATION IN MANGROVE ECOSYSTEM HEALTH’S MONITORING Roni Sewiko; Herlina Adelina Meria Uli Sagala
Asian Journal of Aquatic Sciences Vol 5 No 3 (2022): December
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.5.3.322-329

Abstract

Operational limitations are the main problem in monitoring 3.31 million hectares of mangrove forest areas throughout Indonesia. However, with the disruption of technology, there are currently many approaches and methods that can be adapted to answer these problems. One of them is drone technology. This technology can be utilized in high-resolution rapid mapping for limited areas. The output from the data acquired by the drone can be analyzed for various purposes, including assessing the health condition of the vegetation. In this study, the results of the acquisition of unmanned aircraft on mangrove vegetation are used to determine the health level of vegetation in mangrove conservation areas. The research was conducted on 46 hectares of the mangrove conservation area. The acquisition process was divided into four flying missions with a flight height of 150 m, 80% patching, and using the Hasselblad L1D-20c camera with a 1-inch sensor. The acquisition results are processed using the online photogrammetry method through the cloud-based photogrammetry service from DroneDeploy. Processing uses standard mode, where this mode is designed to produce good image quality with a relatively fast processing time. The acquisition results of 1614 photos were 100% successfully aligned, with 3.50 cm/px GSD resolution. Based on the application of the VARI algorithm to the resulting orthophoto, it is known that 30.2692% of the AOI is an area and/or dead or non-vegetated vegetation. Then 59.3887% is vegetation in an unhealthy condition, 10.3405% is considered as vegetation in a healthy condition, and 0.0015% is vegetation in a very healthy condition
Co-Authors Aiman Ibrahim Anasri Tanjung Arifah Fadhilah Adjisuci Arifin Arifin Aris Kabul Aris Kabul Pranoto Asep Sahidin Asep Sahidin Chairil Anwar Chitra Octavina Chrisoetanto P Pattirane Chrisoetanto P. Pattirane Djari, Anthon Anthonny Elfa Afwafiah Hapsari, Larasati Putri Haryanto Haryanto Herlina Adelina Meria Uli Sagala Herman Hamdani Herman Hamdani Heti Herawati Indah Riyantini M. Suhaemi Syawal Mochamad Candra Wirawan Arief Pasaribu, Roberto Patar Sonny Mawardi Sulistyowati, Beta Indi Ully Wulandari Yulandhita Yulandhita Zahidah - Zahidah Zahidah