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All Journal Authentic Research of Global Fisheries Application Journal (Aurelia Journal) Jurnal IPTEK Bagi Masyarakat
Ma’mun, Asep
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Mechanical Engineering Physics Public Health Social Sciences

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TWO-DIMENSIONAL FLOW PATTERN MODEL IN THE WATERS OF BAKAU BAY BINTAN DISTRICT Fahrianti, Anggun Safutri; Ma’mun, Asep; Febrianto, Try; Suhana, Mario Putra; Ritonga, Abdul Rahman
Aurelia Journal Vol 6, No 1 (2024): April
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/aj.v6i1.13484

Abstract

Ocean currents are the movement of sea water masses in a certain direction caused by several factors, namely wind, tides and bathymetry. Hydrodynamic modeling aims to determine the speed and direction of ocean currents in the waters of Bakau Bay through a two-dimensional model. The current pattern of the north season to the east season is influenced by sea water masses with an average current speed ranging from 0.22-0.24 m/s, while the south season to West season currents with an average speed of 0.04-0.26 m/s, this shows the meeting of different water masses so that the speed and direction of the current results in random or rotating currents. From the calculations of the normality test and anova test, it is known that the field current and model simulation values are normally distributed and there is no significant difference in values in the two data, so based on the RMSE value, it shows that the difference in values between the model simulation results and direct data measurements is relatively small. This also shows that the ocean surface current model created is sufficient to describe actual conditions.
Dissemination of Seagrass Density Information from Object-Based Image Analysis (OBIA) Mapping to Pengudang Coastal Community Kurniawati, Esty; Kartika, Indah; Febrianto, Try; Refly, Septia; Suhana, Mario Putra; Ma’mun, Asep; Fardillah, Muhammad Fajar Fajri; Rudin, Muhammad Johar
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1590

Abstract

Pengudang Village, Bintan Regency, Riau Islands, is a coastal area that hosts seagrass ecosystems with high biodiversity. However, this area is increasingly experiencing degradation pressures due to climate change and anthropogenic activities. The limited public knowledge regarding the condition of seagrass ecosystems has become a major obstacle to community-based conservation efforts in the region. This community service activity aimed to disseminate information on seagrass density mapping results using the Object-Based Image Analysis (OBIA) technology to the coastal community of Pengudang. The mapping was conducted at 59 survey points distributed across the shallow waters of Pengudang Village in October 2025. The results identified seven seagrass species with a total coverage area of 344.26 hectares, of which approximately 92% fell into the high-density category. The dissemination of the mapping results was carried out in December 2025 using an interactive outreach method supported by visual media and infographics, and was evaluated through questionnaires distributed to 10 respondents. The evaluation results showed that all assessment indicators were within a score range of 3.7–4.0, categorized as Very Good, with no respondents expressing disagreement regarding either the material or the implementation of the activity. This activity demonstrates that a dissemination approach based on modern mapping technology, delivered through participatory and contextual methods, is effective in improving public understanding, awareness, and conservation motivation among coastal communities toward seagrass ecosystems.
Co-Authors Anma Hari Kusuma, Anma Hari Aris Budiarto ESTY KURNIAWATI Fahrianti, Anggun Safutri Fardillah, Muhammad Fajar Fajri Hari Priyadi indah kartika Khairul Amri Mario Putra Suhana Qadar Hasani Ritonga, Abdul Rahman Rudin, Muhammad Johar Septia Refly Try Febrianto Wahyuni, Efri