Indonesia Conference Directory

Corresponding Author
Widhya Nugroho Satrioajie

Institutions
1) Remote Sensing Application Center, Indonesian National Institute of Aeronautics and Space (LAPAN), Jl. Kalisari No. 8 Pekayon, Pasar Rebo Jakarta Timur, 13710.
2) Global Fishing Watch, 1025 Connecticut Ave, NW Suite 200, Washington DC 20036, USA.
3) Centre for Deep-Sea Research, Indonesian Institute of Sciences (P2LD-LIPI), Jl. Y. Syaranamual, Guru-guru Poka, Ambon Maluku 97233
4)Institute for Marine Research and Observation (IMRO), Jl. Baru Perancak, Negara Jembrana – Bali, 85221.

Abstract
The study of potential fishing zones (PFZ) in Indonesia has been recognized for decades after the introduction of remote sensing technology for fisheries in the 1970s. Sea surface temperature (SST) and Chlorophyll-a concentration are the two main oceanography parameters used to determine potential fishing zones. Despite the popularity of this study, from which many research institutes produce such maps, there is still a big gap in understanding the accuracy of the map with respect to the vessels- behavior. One of the main reasons is the high-cost on validation methods such as conducting field surveys or engaging onboard observers. Furthermore, these methods can only cover a limited number of vessels and locations resulting in inaccuracy of PFZ. Using the available Indonesian VMS data, we can tackle those limitations. We analyze and match the VMS fishing efforts data against PFZ map based on time and distance variations. The PFZ map was sourced from LAPAN for a 1-year period in 2018 covering 6 project areas in the Java Sea, the Sulawesi Sea, the Maluku Sea and the Banda Sea. The VMS fishing effort data comes from Global Fishing Watch fishing algorithm which is run over Indonesian VMS data. The result showed that there were 1,476 vessels confirmed to fish around PFZs within the time variation ranging 1-3 days. The distance of the vessels fishing from the PFZ was less than 6 km. The study suggested that PFZ map has a promising accuracy in forecasting the fishing ground locations. The result can be beneficial in developing the capture fisheries technology by providing science-based advice for reducing the operational cost in searching for the fishing ground.

Keywords
PFZ, VMS, Validation, SST, Remote Sensing

Topic
Marine Resources, Conversation and ICZM

Link: https://ifory.id/abstract/6xqHfGw2zrTQ

Corresponding Author
Khafid Rizki Pratama

Institutions
a) Mathilda Batlayeri Meteorological Station, BMKG, Jalan Harapan Saumlaki 97664, Indonesia
b) Head of Center for Research and Development, BMKG, Jalan Angkasa Pura 1 Kemayoran 10610, Indonesia
c) Head of Center for Marine Meteorology, BMKG, Jalan Angkasa Pura 1 Kemayoran 10610, Indonesia
d,e,g,h) Center for Marine Meterorology, BMKG, Jalan Angkasa Pura 1 Kemayoran 10610, Indonesia
f) Paotere Marine Meteorological Station, BMKG, Makassar 90163, Indonesia
*fuadislami21[at]gmail.com
I,j) Teluk Bayur Marine Meteorological Station, BMKG, Padang 25123, Indonesia

Abstract
Producing better wind wave numerical forecasting products by utilizing real time ocean wave observation data is still a challenge for marine meteorologist. The altimeter sensors installed on the Sentinel SAR/1B and JASON-3 satellites have the ability to do spectral measurement to determine the wave energy with the growth rate of wind waves frequency that will be formed. This study examines the verification and evaluation of wind waves from WaveWatch-3 model (Ina-Waves Products) by comparing wave spectral of Sentinel SAR/1B and JASON-3 satellites during Ina-PRIMA 2018 research in June with the wind waves footprint-directional wave-spectral technique. The output of WaveWatch-3 model based on a comparison of numerical Gaussian swell spectrum shows that the wave growth pattern is dominantly in the frequency of 0.11 - 0.34 Hz with an accuracy of swell formation of 83% from Sentinel SAR/1B satellite observations. The results of Ina-Waves model from the WaveWatch-3 model output with deep water waves along the shipping tracks and 5 buoy points show that the accuracy of significant wave height at 85% and the error rate is 0.45 meters from the Sentinel SAR/1B. Correction of the comparison of Sentinel SAR/1B and JASON-3 satellites resulted in a correction of Ina-Waves products of 0.40 meters. This result becomes a correction of input data towards the development of numerical surface waves models in Indonesian waters.

Keywords
Wind waves; Ina-Waves; Altimeter satellite

Topic
Marine Geodesy and Satellite Oceanography

Link: https://ifory.id/abstract/paGDwVF6zgev

Corresponding Author
Corry Yanti Manullang

Institutions
1. undergraduate sudent - Faculty of Fisheries and Marine Science, University of Papua

2. Faculty of Fisheries and Marine Science, University of Papua

3. Center for Deep Sea Research - Indonesian Institutes of Sciences

Abstract
The purpose of this study was to determine the type of microplastic, the amount and abundance and microplastic distribution of large (1-5 mm) and small (<1 mm) based on backshore (BS) and high strandline (HS) zones on Aipiri Beach, Manokwari Regency - West Papua. The study was conducted in March-May 2019 on Aipiri Beach with three replicates sampling times. Microplastic sampling was using quadrant plots. This study was confirmed the pesence of three types (fragmens film and fiber) of microplastic in Aipiri Beach. The highest abundance found was fragmen with 1.18 items / kg.

Keywords
Microplastic, beach sediment, Aipiri Beach, backshore

Topic
Coastal Degradation and Coastal Hazard

Link: https://ifory.id/abstract/yW4gF3RAkHCU

Corresponding Author
Corry Yanti Manullang

Institutions
1. undergraduate sudent - Faculty of Fisheries and Marine Science, University of Papua

2. Faculty of Fisheries and Marine Science, University of Papua

3. Center for Deep Sea Research - Indonesian Institutes of Sciences

Abstract
Microplastic is one of the most serious problems in the marine environment. In this study we determined the type, amount, abundance and microplastic distribution of large-microplastic (1-5 mm) in the backshore (BS), strandline (SL) and wateredge (WE) zones on Anday Beach - Manokwari Regency, West Papua. Sampling was conducted on March 2019 with three replicates sampling times. The types of microplastic found on Anday Beach are films, fragments, and fibers. About 78% of large-microplastic observed in Anday beach were plastic films. The highest abundance of large-microplastic were found in the BS and WE zones with average of 6.67 items / m².

Keywords
marine debris, microplastic, beach sediment, Anday Beach

Topic
Coastal Degradation and Coastal Hazard

Link: https://ifory.id/abstract/BU8eDrH6R3hM

Corresponding Author
Iwan Pramesti Anwar

Institutions
Research Group of Oceanography, Faculty of Earth Sciences and Technology-ITB, Research Group of Oceanography, Faculty of Earth Sciences and Technology-ITB, Korea-Indonesia Marine Technology Cooperation Research Center; MTCRC, Pusat Penelitian Oseanografi-LIPI

Abstract
The north of West Papua and the Halmahera Sea is the inflow area of the eastern part of Indonesian Throughflow (ITF). The Nusa Manggala leg-3 expedition in 2018 was held on December 6-16 2018. The survey achieved twenty-six Conductivity Temperature Depth measurement points. The results of this study prove that Pacific Surface Water is present on the surface up to 70 m with a temperature of 26-30oC. South Pacific Subtropical Water and South Pacific Intermediate Water are simultaneously 70 m - 250 m and 250 m - 1000 m. The temperature at the spatial distance between 29.25 in the round around Sorong to 30.75oC in the southern part of the Gulf of Veda. Meanwhile, the highest salinity value was 34.25 psu in the vicinity of the Weda Bay and the lowest was 33.55 psu around Sorong.

Keywords
Water mass, eastern part of ITF, Nusa Manggala Survey

Topic
Coastal and Ocean Dynamics

Link: https://ifory.id/abstract/D8bRMnxhXKaN

Corresponding Author
Nida El-Islamy Qomaruddin

Institutions
Oceanography Department, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung

Abstract
The Timor and Arafura Seas are part of the Eastern Archipelago waters which directly meet the Indian Ocean and make the Timor Sea as the largest exit of Indonesian Throughflow. The aims of this research are to study the structure of stratification, types and contribution of water masses in the Timor and Arafura Seas. This study used temperature, salinity, and density data from Conductivity, Temperature, and Depth (CTD) measurements in the 2010 Arafura and Timor Seas Ecosystem Action Program (ATSEA). The water masses stratification was determined by calculating the temperature and salinity gradient per one meter depth, the type of water masses was determined by the T-S diagrams, and the contribution of each type of water masses is known from the Optimum Multi Parameter (OMP) analysis. The results showed that there are three water masses layers in the Timor Sea, namely the mixed layer, thermocline and halocline, and the deep layer; and two layers in the Arafura Sea are the mixed layer and the thermocline and halocline. There are 6 types of water masses identified in the Timor Sea with its contributions as follows; in the mixed layer there are Halmahera – Misool Water (HMW) contributing around 40 – 70% and Seram – Banda Water (SBW) contributing around 50 – 60%; in the thermocline layer there are Southern Subtropical Lower Water (SSLW) contributing around 30 – 40% and Indonesian Upper Water (IUW) contributing around 40 – 50%, and in the deep layer there are Austral Asian Intermediate Water (AAMW) contributing around 100% and Antartic Intermediate Water (AAIW) contributing around 20 – 70%. In the Arafura Sea, 2 types of water masses were identified with its contribution as follows; Halmahera – Misool Water (HMW) contributing around 30 – 50% and Seram – Banda Water (SBW) contributing around 100%.

Keywords
Stratification; water masses; ATSEA 2010; Timor Sea; Arafura Sea.

Topic
Coastal and Ocean Dynamics

Link: https://ifory.id/abstract/dYbwGkNxDLPq

Corresponding Author
Akbar Tahir

Institutions
Universitas Hasanuddin

Abstract
Plastic pollution has universally known accumulated in all compartments and accelerating threat to the sustainability of our planet. A field survey to examine the occurrence of microplastics in ancient sea water evaporation technology of ponds at Pallengu, Jeneponto District of South Sulawesi Province was conducted in July 2018. From this traditional sea salt producing ponds, samples of water, sediment and freshly produced salts were collected. Samples of water and sediments (16 samples respectively) were collected from points at adjacent sea, primary, secondary and tertiary canals, and sedimentation/warming ponds. Salts (12 samples) were only collected at salt producing ponds. Of the 12 samples of salt observed, we found 7 samples were positively contaminated with 29 particles of microplastics (MPs) predominated by line and fragment forms (with 58.3% of total contamination levels). Total contamination level of MPs on sediments were accounted for 50%, where 41 MPs particles were observed. From 16 water samples collected, there are 31 MPs discovered from 11 water samples observed (total contamination 68.75%). Interestingly, sampling spots at sedimentation/warming pools were found to be the locations with highest occurrence of MPs in both water and sediment samples. Fourier transform infra-red spectroscopy (FT-IR) analysis has revealed 3 kinds of polymers, i.e. EVA (41.7%), PE (33.3%) and PP (25%). From statistical analysis there was no significant difference found on MPs occurrence from kinds of samples collected, although there was a trend of correlation between MPs count in both water and sediments. With microplastics abundance of 100 particles/kg salt, we presumed that continuous consumption by people will end up with possible accumulation of potentially absorbed of various toxic chemical pollutants which present in sea water as salt raw materials. The need for robust and practical strategy in water quality management for reduction of microplastics contamination in consumed salts would be a must.

Keywords
microplastics, sea salt, water management, Jeneponto, Indonesia

Topic
Marine Resources, Conversation and ICZM

Link: https://ifory.id/abstract/EPRuFcqGDaKj

Corresponding Author
Iqbal Ardiansyah

Institutions
a) Study Program of Earth Science, Faculty of Earth Sciences and Technology, Bandung Institute of Technology
b) Research Group of Oceanography, Faculty of Earth Sciences and Technology, Bandung Institute of Technology
*nining[at]fitb.itb.ac.id

Abstract
Significant Wave Height (SWH) in Natuna Waters has been simulated during Typhoon Hagibis event in the period of 20th – 27th November 2007 in the South China Sea by using Simulating WAve Nearshore (SWAN) model with 1/24° spatial resolution. 1/4° wind data obtained from Cross-Calibrated Multi-Platform (CCMP) and 1/120° bathymetry data derived from General Bathymetry Chart of the Ocean (GEBCO) are used as model input. Open boundary values for the SWAN simulation are obtained from WAVE WATCH III (WW3) results, which are provided by Indonesian Geospatial Information Agency (BIG). The model results show that swell generated by Typhoon Hagibis arrived in the Natuna Waters after 3-day travel time, which is 23rd November 2007. Typhoon Hagibis has an impact on swell propagation from the South Cina Sea to the Natuna Waters. SWH in the Natuna Waters during the peak phase of Typhoon Hagibis and Mitag (23rd November 2007) vary between 0.8 – 3.5 m. There are 6 observation points in the study area to investigate SWH variation from 22nd October – 22nd December 2007. Point 1 (P1), Point 3 (P3) and Point 5 (P5) show points in the northern part of the Natuna island, Subi Besar Islands and Riau Islands, respectively. Meanwhile, Point 2 (P2), Point 4 (P4) and Point 6 (P6) show points in the southern part of the Natuna island, Subi Besar Islands and Riau Islands, respectively. Typhoon Hagibis in the peak phase generates the SWH at P1, P3, and P5 of about 0.6 – 2.5 m and generates the SWH at P2, P4, and P6 of about 0. 5 – 1.6 m.

Keywords
Significant Wave Height, Typhoon Hagibis, Natuna Waters, SWAN

Topic
Coastal and Ocean Dynamics

Link: https://ifory.id/abstract/zthjmcdpTv8W