scholarly journals Analisis Multivariat Untuk Melihat Hubungan Jenis Sedimen Terhadap Jenis Lamun

2020 ◽  
Vol 9 (1) ◽  
pp. 94-98
Author(s):  
Ardian Nurrasyid Chamidy ◽  
Chrisna Adhi Suryono ◽  
Ita Riniatsih
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Thalassia Hemprichii ◽  
Sediment Grain Size ◽  
Positive Correlation ◽  
Enhalus Acoroides ◽  
Cymodocea Rotundata ◽  
Cymodocea Serrulata

 ABSTRAK: Perairan Teluk Awur dan Pulau Panjang memiliki kondisi perairan yang berbeda dan merupakan perairan yang masih baik untuk pertumbuhan lamun. Ekosistem padang lamun tumbuh pada sedimen dan hidup terendam di dalam air laut. Komposisi jenis sedimen diduga dapat menyebabkan perbedaan komposisi jenis lamun yang didasari oleh pemikiran bahwa perbedaan komposisi ukuran butir sedimen akan menyebabkan perbedaan nutrisi bagi pertumbuhan lamun. Penelitian ini bertujuan untuk mengkaji hubungan jenis sedimen terhadap jenis lamun di perairan Teluk Awur dan Pulau Panjang Jepara dengan menggunakan analisis multivariat. Penelitian ini dilakukan dalam beberapa tahap yang meliputi tahap persiapan, tahap penentuan stasiun dengan metode sampling purposive method, tahap pengambilan data lapangan, tahap analisis tekstur sedimen yang dilakukan di laboratorium teknik sipil fakultas teknik Universitas Diponegoro, dan tahap analisis data menggunakan analasis multivariat yaitu Principal Component Analysis (PCA). Hasil analisis PCA  menunjukkan  bahwa  Cymodocea  serrulata  dan  Cymodocea  rotundata  berkorelasi positif dengan sand, kecepatan arus, dan pH. Thalassia hemprichii dan Enhalus acoroides memiliki korelasi positif dengan silt, clay, suhu, salinitas dan bahan organik. Gravel memiliki korelasi postif dengan nitrat dan fosfat.ABSTRACT: The waters of Teluk Awur and Panjang Island have different water conditions and are still good waters for seagrass growth. Seagrass ecosystems grow in sediments and live submerged in seawater. The composition of the substrate types is thought to cause differences in the composition of seagrass types based on the thought that differences in the composition of sediment grain size will cause differences in nutrition for seagrass growth. This study aims to examine the relationship of sediment types to seagrass species in Teluk Awur  and  Pulau  Panjang,  Jepara  by  using  multivariate  analysis.  This  research  was conducted  in  several  stages  including  the  preparation  stage,  the  stage  of  determining stations with the purposive sampling method, the stage of field data collection, the stage of sediment texture analysis carried out in the civil engineering laboratory of the engineering faculty Diponegoro University, and the stage of data analysis using multivariate analysis with Principal Component Analysis (PCA). PCA analysis results show that Cymodocea serrulata and Cymodocea rotundata are positively correlated with sand, current speed, and pH. Thalassia hemprichii and Enhalus acoroides have a positive correlation with silt, clay, temperature, salinity and organic matter. Gravel has a positive correlation with nitrate and phosphate.

scholarly journals Principal component analysis on the perceptions of milk producers about Rhipicephalus (Boophilus) microplus control in Minas Gerais

2012 ◽  
Vol 21 (3) ◽  
pp. 224-231 ◽  
Author(s):  
Christiane Maria Barcellos Magalhães da Rocha ◽  
Fábio Raphael Pascoti Bruhn ◽  
Romário Cerqueira Leite ◽  
Antônio Marcos Guimarães ◽  
Ivan Barbosa Sampaio ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Production Quality ◽  
Minas Gerais ◽  
Boophilus Microplus ◽  
Basic Knowledge ◽  
Positive Correlation ◽  
Perceptions And Attitudes ◽  
Technological Level

Milk producers in Lavras, Passos and Divinópolis, Minas Gerais, were interviewed with the aim of evaluating their perceptions and attitudes regarding control over Rhipicephalus (Boophilus) microplus. Multivariate correlation between the variables was done by means of principal component analysis. The producers' perceptions and attitudes regarding R. (B.) microplus were similar: most of them did not have any basic knowledge of tick biology or control, and they applied acaricide products through backpack spraying, without any defined technical criteria. Some of the results obtained were: I. a negative correlation between schooling level and the frequency of spraying cattle with acaricides; II. a positive correlation between milk production, quality of equipment for acaricide application and technological level of the farm; III. farm properties with greater production and technification tended to keep the intervals between acaricide applications constant over the course of the year. After applying principal component analysis, a positive correlation was observed between schooling level, technological level of the farm and perceptions regarding R. (B.) microplus, but without any correlation with attitudes towards controlling this tick. It was concluded that higher technological level and schooling level improved the producers' perceptions relating to the biology of the tick R. (B.) microplus, but did not achieve effectiveness with regard to using controls more rationally.

scholarly journals Pemetaan Kondisi Lamun di Perairan Sekitar Pulau Lepar Kabupaten Bangka Selatan

2019 ◽  
Vol 2 (2) ◽  
pp. 83-86
Author(s):  
Suci Puspita Sari
Keyword(s):  
Thalassia Hemprichii ◽  
Enhalus Acoroides ◽  
Halophila Ovalis ◽  
Halodule Uninervis ◽  
Cymodocea Rotundata ◽  
Cymodocea Serrulata

Status mengenai kondisi ekosistem lamun di perairan Bangka Selatan diperlukan untuk menentukan terjadinya indikasi kerusakan lamun sebagai akibat dari aktifitas penambangan timah di wilayah pesisir. Kondisi kesehatan lamun dianalisis melalui kerapatan dan tutupan lamun sehingga dapat diketahui kondisinya.  Metode yang digunakan untuk memantau kondisi lamun pada penelitian ini adalah pemanfaatan teknologi Penginderaan Jauh dan Sistem Informasi Geografis (SIG), menggunakan algoritma Depth Invariant Index (DII). Distribusi lamun berdasarkan hasil pengolahan data citra Landsat tahun 2017 menunjukkan bahwa padang lamun di perairan Bangka Selatan seluas 4066,7 Ha. Spesies yang ditemukan dari 7 titik sampling, yaitu Enhalus acoroides, Thalassia hemprichii, Halophila ovalis, Cymodocea serrulata, Halodule uninervis, dan Cymodocea rotundata. Kondisi padang lamunnya secara umum termasuk dalam kategori “Miskin”.  

scholarly journals Inferência Exploratória de Dados Espaço-Temporal da Precipitação Pluviométrica no Nordeste Brasileiro

2020 ◽  
Vol 13 (5) ◽  
pp. 2019
Author(s):  
Jhon Lennon Bezerra da Silva ◽  
Geber Barbosa De Albuquerque Moura ◽  
Marcos Vinícios Da Silva ◽  
Roni Valter De Souza Guedes ◽  
Pabrício Marcos Oliveira Lopes ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Temporal Variability ◽  
Principal Component ◽  
Component Analysis ◽  
Northeastern Brazil ◽  
Annual Rainfall ◽  
Intermittent Rivers ◽  
Rainfall Patterns ◽  
Brazilian Northeast

A gestão eficiente dos recursos hídricos no Nordeste brasileiro torna-se fundamental diante do regime hidrológico dos rios intermitentes, dos quais muitos são extremamente críticos. Todavia estes dependem de um regime pluviométrico irregular, tanto em escala de tempo mensal quanto anual. Objetivou-se determinar a variabilidade espaço-temporal da precipitação pluviométrica total anual, averiguando-se, também, as regiões com padrões de precipitação semelhantes por técnicas de análise multivariada (clusters e componentes principais) no Nordeste do Brasil. Foram analisados dados de precipitação pluviométrica total anual, entre os anos de 1995 e 2016, de 37 diferentes estações meteorológicas do INMET, estas situadas nos limites territoriais dos nove estados do Nordeste brasileiro. A análise de clusters verificou a formação de quatro grupos distintos, com padrões semelhantes de precipitação nas regiões dentro dos grupos, conforme também observado na análise de componentes principais. A padronização e/ou variabilidade espaço-temporal da precipitação pluviométrica dos municípios analisados mostrou-se está intimamente associada as condições das estações do ano e anomalias climatológicas, aos fatores de uso e ocupação do solo, condições de altitude e relevo, tais quais favorecem na formação e estabilidade de chuvas menores ou maiores no Nordeste brasileiro. A análise multivariada de cluster e componentes principal identificaram padrões e semelhanças pluviométricas de grupos, nos diferentes estados do Nordeste do Brasil entre os anos de 1995 e 2016. Exploratory Inference of Spatial-Temporal Data of Rainfall in the Brazilian Northeast ABSTRACTThe efficient management of water resources in the Northeast of Brazil is essential in view of the hydrological regime of intermittent rivers, of which many are extremely critical, as they depend on an irregular rainfall regime, both on a monthly and annual time scale. The objective of this study was to determine the spatial and temporal variability of the annual total rainfall, also investigating the regions with similar rainfall patterns by multivariate analysis techniques (clusters and principal components) in Brazilian Northeast. Data from total annual rainfall between the years 1995 and 2016, of 37 different INMET weather stations were analyzed, located within the territorial limit of the nine states of Brazilian Northeast. Cluster analysis verified the formation of four distinct groups, with similar precipitation patterns in the regions within the groups as also observed in the principal component analysis. The pattern and/or spatial-temporal variability of rainfall in the municipalities analyzed was shown to be intimately associated with the conditions of the year and climatic anomalies stations, and the factors of land use and occupation, altitude and relief conditions, such as favoring the formation and stability of minor or major rain in the Brazilian Northeast. Multivariate cluster and principal component analysis identified rainfall patterns and similarities of groups, in the different states of Northeastern Brazil between the years 1995 and 2016.Keywords: multivariate analysis, climate change, semiarid, regional climate patterns.

scholarly journals The Inventory of Seagrasses in Marine Field Station of Faculty of Fisheries and Marine Science in Subdistrict of East Likupang District North Minahasa

2018 ◽  
Vol 6 (2) ◽  
pp. 38
Author(s):  
Stevani Rawung ◽  
Ferdinand F Tilaar ◽  
Ari B Rondonuwu
Keyword(s):  
Seagrass Species ◽  
Thalassia Hemprichii ◽  
Field Station ◽  
Enhalus Acoroides ◽  
Halophila Ovalis ◽  
Halodule Uninervis ◽  
Cymodocea Rotundata ◽  
Syringodium Isoetifolium ◽  
Random Survey ◽  
Cymodocea Serrulata

This study was conducted in Marine Field Station of Faculty of Fisheries and Science of Sam Ratulangi University, Sub-district of East Likupang, North Minahasa. This study aims to identified the seagrasses in the water of Marine Field Station. The benefits of this study are for the database of seagrasses ecosystem management and comparative for other studies. The Observation and data collection was using random survey technic by analyzed the areas to collecting all the seagrass species found. Furthermore, the seagrass samples were categorised into each species. The result showed the amount of seagrass species in Marine Field Station are 8 species from 6 genera and 2 families: Cymodocea rotundata, Cymodocea serrulata, Halodule uninervis, Syringodium isoetifolium, Thalassia hemprichii, Enhalus acoroides,  Halophila ovalis, dan Halophila minor.Keyword: Inventory, Seagrass, Marine Field Station ABSTRAKPenelitian dilakukan di perairan Marine Field Station Fakultas Perikanan dan Ilmu Kelautan Unsrat Kecamatan Likupang Timur Kabupatan Minahasa  Utara. Tujuan penelitian  untuk mengidentifikasi lamun yang ada di Perairan Marine Field station. Manfaat penelitian dapat menjadi data pengelolaan ekosistem padang lamun dan dapat menjadi perbandingan untuk penelitian-penelitian selanjutnya. Pengamatan dan pengambilan sampel menggunakan teknik survei jelajah, yaitu dengan menjelajahi wilayah pengamatan sambil mencari semua spesies lamun. Lamun yang diambil adalah semua jenis yang ditemui. Selanjutnya, sampel lamun dikelompokan berdasarkan spesies. Hasil pengamatan menunjukkan jumlah spesies lamun pada lokasi penelitian di Perairan Marine Field Station adalah 8 spesies dari 6 genera dan 2 famili yaitu, Cymodocea rotundata, Cymodocea serrulata, Halodule uninervis, Syringodium isoetifolium, Thalassia hemprichii, Enhalus acoroides,  Halophila ovalis, dan Halophila minor. Kata kunci: Inventarisasi, Lamun, Marine Field Station

scholarly journals Multivariate Analysis of Water Quality Measurements on the Danube River

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3634
Author(s):  
Zoltan Horvat ◽  
Mirjana Horvat ◽  
Kristian Pastor ◽  
Vojislava Bursić ◽  
Nikola Puvača
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Cross Sections ◽  
Principal Component ◽  
Component Analysis ◽  
Danube River ◽  
Quality Data ◽  
Water Quality Data ◽  
The Danube River

This study investigates the potential of using principal component analysis and other multivariate analysis techniques to evaluate water quality data gathered from natural watercourses. With this goal in mind, a comprehensive water quality data set was used for the analysis, gathered on a reach of the Danube River in 2011. The considered measurements included physical, chemical, and biological parameters. The data were collected within seven data ranges (cross-sections) of the Danube River. Each cross-section had five verticals, each of which had five sampling points distributed over the water column. The gathered water quality data was then subjected to several multivariate analysis techniques. However, the most attention was attributed to the principal component analysis since it can provide an insight into possible grouping tendencies within verticals, cross-sections, or the entire considered reach. It has been concluded that there is no stratification in any of the analyzed water columns. However, there was an unambiguous clustering of sampling points with respect to their cross-sections. Even though one can attribute these phenomena to the unsteady flow in rivers, additional considerations suggest that the position of a cross-section can have a significant impact on the measured water quality parameters. Furthermore, the presented results indicate that these measurements, combined with several multivariate analysis methods, especially the principal component analysis, may be a promising approach for investigating the water quality tendencies of alluvial rivers.

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