Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analysis of Traffic Volume and Frequency of Vannamei Shrimp (Litopenaeus vannamei) Shipments Based on a Certification Approach Octovianus; Ghanim, Mahendri Rohman; Lestari, Artanti Tri; Islamy, R Adharyan
Jurnal Penelitian Pendidikan IPA Vol 9 No 6 (2023): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i6.3812

Abstract

Volume and frequency of shipping are crucial factors that impact the profitability and sustainability of the vannamei shrimp industry. This study aims to determine the volume of vannamei shrimp shipping traffic in Padangbai, Karangasem, Bali during the period 2019-2021 and the relationship between the volume of vannamei shrimp shipping traffic and shipping times during that period in the region. Data were obtained from fish quarantine stations, quality control and fishery product safety in Padangbai, Karangasem, Bali. The analytical method is carried out in a comparative descriptive manner which is presented through graphs that have been processed in the MS program. Excel while to find out the relationship between volume and frequency of shipping was analyzed using regression. The volume of traffic for shipping vannamei shrimp out of the Padangbai area, Karangasem, Bali was highest in 2021 (652,745,431 Juvenils) and lowest in 2019 (435,740,234 Juvenils). Data on the frequency of traffic was highest in 2020 (383 times) and lowest in 2019 (268 times). Based on the data provided, it can be seen that the average total vannamei shrimp shipment during the 2019-2021 period was around 4,702 x 104 juveniles per month. There were fluctuations in shipment volume from month to month, where in February, March, August, September and December the highest shipments were recorded of more than 5,000 x 104 juveniles, while in other months the lowest shipments were recorded of 2,929 x 104 juveniles in June. Based on these data, it can be concluded that the volume of vannamei shrimp shipments from Padangbai, Karangasem, Bali is quite stable with relatively small fluctuations. Even though there are fluctuations in shipping volume from month to month, overall, the volume of vannamei shrimp shipments from Padangbai, Karangasem, Bali is quite high.
Assessment of Mangrove Distribution, Carbon Stock, and Carbon Sequestration toward Sustainable Coastal Management in Northern Coastal of Subang Regency, Indonesia Santoso, Nyoto; Asy’Ari, Rahmat; Ulfa, Aulia; Rachmatullah, Adam; Octovianus; Ramadhan, Yusuf
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 2 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.2.136

Abstract

Mangrove ecosystems play a crucial role in climate change mitigation through carbon sequestration; however, increasing anthropogenic pressures threaten their function as carbon sinks. Along the northern coast of Subang, Indonesia, information on mangrove carbon stocks remains limited despite its importance for sustainable coastal management. This study assesses mangrove distribution and estimates carbon stocks and CO₂ sequestration potential using Sentinel-2 MultiSpectral Instrument (MSI) remote sensing data. The research was conducted over a period of 5 months, from the midle of June to November 2025. The results show that mangrove density averaged 8,067 ± 5,332 trees ha⁻¹, dominated by Avicennia marina (69%). Estimated carbon stocks reached 183.73 ± 97.04 Mg C ha⁻¹, comprising 130.11 ± 70.36 Mg C ha⁻¹ of aboveground carbon and 53.62 ± 26.95 Mg C ha⁻¹ of belowground carbon. Across 2,684 ha, total carbon storage was estimated at 268,577 Mg C, equivalent to a CO₂ sequestration potential of 984,782 Mg CO₂e. The Support Vector Machine (SVM) Linear model achieved the highest prediction accuracy (R² = 0.86; RMSE = 0.07; MAE = 0.06). These findings highlight the significant contribution of Subang’s mangroves to climate change mitigation and provide essential data to support sustainable coastal management and Indonesia’s FOLU Net Sink 2030 target.