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Pelatihan Pengoperasian Drone sebagai Peningkatan Kemampuan Kompetensi SMK Perikanan Tukak Sadai Bangka Selatan Umroh, Umroh; Hudatwi, Mu’alimah; Wahidin, La Ode; Pamungkas, Aditya; Akhriati, Irma; Utami, Eva
Jurnal Ilmiah Pangabdhi Vol 10, No 1: April, 2024
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pangabdhi.v10i1.22398

Abstract

SMKN 1 Tukak is the vocational school in the field of fisheries in South Bangka Regency. Some training is really needed to increase the competency of SMK students, so that training is carried out that can improve students' abilities. One of the trainings is mapping using drones, because spatial data is needed in the fields of fisheries, agriculture, mining. The objectives of the activity: 1) provide students with an understanding of Drone Mapping knowledge, 2) increase the competency of SMK students related to mapping. Stages of activity: 1) training on spatial data collection using drones, 2) training on spatial data processing from drones, 3) training on introductory mapping, and 4) socialization of drone map results. The training participants were made into 3 groups according to class XI majors, namely: Brackish Water and Marine Agribusiness (APAPL), Fishing Vessel Nautics (NKPI), and Fishery Products Processing Agribusiness (APHPL). Each group was accompanied by a trainer from Bangka Belitung University. The process of learning to take aerial photos using drones is taught directly, starting from installation, drone flight and downloading aerial photos. Installed apps include DJI Go, Control DJI and Pix4D. The application is used for taking aerial photos using drones. Each group from the PBAPL, APHP, NKPI majors carried out drone flights and took aerial photos according to the trainer's instructions. The results of the aerial photos taken by each group were used to make aerial photo maps and contour maps. The enthusiasm of the students of SMKN 1 Tukak in PMTJ 2023 activities was very high. This is indicated by the active participation of the participants in making flight missions and flying drones as well as processing spatial data.
Struktur Komunitas Bivalvia pada Ekosistem Lamun di Pantai Tukak Kabupaten Bangka Selatan Rozas; Hudatwi, Mu’alimah; Syari, Indra Ambalika
Jurnal Ilmu Kelautan Lesser Sunda Vol. 2 No. 2 (2022): Jurnal Ilmu Kelautan - Lesser Sunda
Publisher : Program Studi Ilmu Kelautan, Jurusan Perikanan dan Ilmu Kelautan, Fakultas Pertanian, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jikls.v2i2.62

Abstract

Bivalves are one of the aquatic biotas that have important economic value and have a fairly high nutritional content role in the waters. The high ecomonic value of bivalves can lead to over exploitation, resulting in reduced productivity and impact on the sustainability of bivalves in seagrass ecosystems. Bivalves are a class of mollusk phylum associated with seagrass ecosystem and have an important role in water. Based on this, it is necessary to conduct recearch related to the structure of the bivalves community in seagrass ecosystems. This research was conducted in Mei 2021 at Tukak Beach South Bangka Regency. Seagrass data were collected using a 50x50 cm² quadrant transect and a distance of 50 m and a distance between transects of 5 m, while bivalves data were taken according to the seagrass transect. Data retrieval is divided into 3 stations, where each station consisting of 3 sub-stations. Where each stasion consists of sub stations. The results obtained 4 species of seagrass and 10 spescies of bivalves from families. Bivalves density value of 8,67-30,67 ind/m². diversity index 1,88-2,33, uniformity index 0,73-0,85, and dominance index 0,29-0,35. Based on principal component analysis (PCA) it was found that the density of bivalves was positively correlated with pH, brightneess, and DO. While the results of the correlation factorial analysis (CA) that there were 3 groups that had a close relationship between the density of seagrass and the density and the bivalves.
Analisis Keanekaragaman Jenis Plankton di Perairan Pulau Semujur dan Muara Sungai Kurau Kabupaten Bangka Tengah Damara, Danu; Utami, Eva; Hudatwi, Mu’alimah
Jurnal Ilmu Kelautan Lesser Sunda Vol. 2 No. 2 (2022): Jurnal Ilmu Kelautan - Lesser Sunda
Publisher : Program Studi Ilmu Kelautan, Jurusan Perikanan dan Ilmu Kelautan, Fakultas Pertanian, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jikls.v2i2.64

Abstract

Plankton is small organisms that live floating in the water column and are very important components in aquatic ecosystems. The purpose of this study was to determine the type of plankton, the ecological index of plankton, and the relationship between the. Physico-chemical parameters of the waters on the diversity of plankton species using statistical analysis. This research was conducted in March-April 2021 on Semujur Island, Pangkalan Baru District and Muara Sungai Kurau. Plankton data collection was carried out vertically using a plankton net. The results showed that the types of plankton found in the waters of Semujur Island and the Estuary of the Kurau River, Central Bangka Regency were 45 types of plankton. The highest plankton diversity value was at station III, namely 2.603 and the lowest value was at station VI, namely 1.361. The highest uniformity index is at station IV at 0.939 and the lowest value is at station V, which is 0.775. The highest value of the dominance index is at station VI, which is 0.307 and the lowest value is at station IV, which is 0.084. The results of the Spearman correlation in the waters of Semujur Island and the estuary of the Kurau River showed that temperature, pH, salinity, and current velocity were positively correlated and in the same direction as plankton diversity. Meanwhile DO and brightness was negatively correlated and opposite in direction to plankton diversity
Studi Topografi Dasar Laut di Kawasan Pesisir Perairan Desa Penyak, Kabupaten Bangka Tengah Slamet, Slamet Kristianto; Akhrianti, Irma; Hudatwi, Mu’alimah
Jurnal Ilmu Kelautan Lesser Sunda Vol. 3 No. 1 (2023): Jurnal Ilmu Kelautan - Lesser Sunda
Publisher : Program Studi Ilmu Kelautan, Jurusan Perikanan dan Ilmu Kelautan, Fakultas Pertanian, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jikls.v3i1.79

Abstract

Penyak Village is one of the villages located in the Koba sub-district, Central Bangka Regency. This village is one of the villages directly adjacent to the Karimata Strait. There is a fairly long coastline of up to 3 km and structures the (breakwaters) along the coastal waters. The relationship among bathymetry, abrasion-accretion and breakwater is the occurrence of coastline reduction and coastline additions that occur along the waters. The method used in this research is primary data and secondary data. Primary data is taken directly at the research location, namely bathymetry data. And the secondary data used as research supporting data, namely tidal data. The research results show that the waters of Penyak Village have a depth of 4.4 to -0.8 m, calculated with the LLWL reference displayed on the 3D map. Tidal data is processed using the Admiralty formula, producing 9 tidal harmonic values and determining the LLWL (lower low water level) value of 16 cm, the Z0 (The height of the receding face) value of 130 cm, the HHWL (Higher High Water Level) value of 270, the MSL (Mean sea level) of 143 cm, and the Form-zahl value is 9.14. The type of tide obtained from the management of the Admiralty Formula is a single daily tide type (diurnal tide). Where in one day there is one high tide and one low tide.
Kesehatan Ekosistem Padang Lamun di Perairan Tukak dengan Metode Seagrass Ecological Quality Index (SEQI) Handayani, Ferly; Hudatwi, Mu’alimah; Utami, Eva
Jurnal Ilmu Kelautan Lesser Sunda Vol. 4 No. 2 (2024): Jurnal Ilmu Kelautan - Lesser Sunda
Publisher : Program Studi Ilmu Kelautan, Jurusan Perikanan dan Ilmu Kelautan, Fakultas Pertanian, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jikls.v4i2.101

Abstract

Seagrass ecosystems have a very important role in coastal areas, namely as carbon stocks and storage. Seagrass beds in Tukak Village are seriously threatened by mining activities and the development of shrimp ponds in coastal areas. The important role of seagrass meadows and the high threat from anthropogenic activities, however, there is very little data and information on the health condition of seagrass meadows in Tukak Village. While seagrass health data is very important as an effort to protect and restore seagrass ecosystems. The research objectives included: 1) Analyzing the health and condition of seagrass beds in Tukak Beach, South Bangka Regency, 2) Analyzing the percentage of seagrass cover and species richness in Tukak Beach, South Bangka Regency. The research was conducted in September 2023 at Tukak Beach. The research stages consisted of 1) Station point determination, 2) Seagrass, macroalgae and epiphyte data collection, 3) Measurement of environmental parameters, 4) Data analysis includes analysis of seagrass health with the Seagrass Ecological Quality Index (SEQI) method and calculation of Epiphyte Cover on seagrass leaves. The richness of seagrass species found in Tukak Village during the research amounted to 6 species, namely Enhalus acoroides (EA), Thalassia hemprichii (TH), Oceana serrulata (OS), Halodule uninervis (HU), Halophila ovalis (HO) and Syringodium isoetifolium (SI). The most dominating seagrass is Thalassia hemprichii (TH). Seagrass cover in Tukak Village is categorized as moderate to good with a range of seagrass cover of 20.64% to 24.59%. Seagrass cover that is categorized as rare is found at Station 3 with a cover of 20.64%. While the most seagrass cover category is found at Station 1 with a cover of 24.59%. The results of the seagrass health analysis of seagrass conditions in Tukak Waters are categorized as Moderate to Good. Moderate conditions are found at Station 2 with a value of 0.68, while the good category is found at Stations 1 and 3 with values of 0.75 and 0.71.