scholarly journals Diurnal Migration of Zooplankton in Inner Ambon Bay, Indonesia

2014 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Domey Moniharapon ◽  
Indra Jaya ◽  
Hendrik Manik ◽  
Sri Pujiyati ◽  
Totok Hestirianoto ◽  
...  
Keyword(s):  
Water Surface ◽  
Sampling Method ◽  
Pelagic Fish ◽  
Data Sampling ◽  
Floating Platform ◽  
Acoustic Data ◽  
Zooplankton Density ◽  
Epipelagic Zone ◽  
Scattering Volume ◽  
Diurnal Migration

The study aims to analyze diurnal migration of zooplankton in Ambon Bay. Data sampling method which is conducted stationary utilizes pontoon mooring as floating platform for acoustic data sampling. Based on the analysis, diurnal migration of zooplankton occurs at noon, zooplankton swims in water surface to epipelagic zone (0-20 m) with value of scattering volume value -90.13 dB to -100.30 dB; it indicates sparse and scattered aggregation (N=128). At night, scattering volume of -90.01 dB to -100.30 dB indicates dense and concentrated aggregation (N=75). Scattering volume is numerical expression of zooplankton density. Chlorophyll a concentration in depth of 0-10 meter having the highest value of 5.16 ppb highly affects the existence of zooplankton. It functions for food availability of pelagic fish as its carnivore.

scholarly journals Comparison of testing load cell sensor data sampling method based on the variation of time delay

2021 ◽  
Vol 700 (1) ◽  
pp. 012018
Author(s):  
A F Hastawan ◽  
S Haryono ◽  
A B Utomo ◽  
A Hangga ◽  
A Setiyawan ◽  
...  
Keyword(s):  
Time Delay ◽  
Sampling Method ◽  
Load Cell ◽  
Sensor Data ◽  
Data Sampling

scholarly journals Acoustic correction factor estimate for compensating vertical diel migration of small pelagics

2021 ◽  
Author(s):  
ANGELO BONANNO ◽  
MARCO BARRA ◽  
ANDREA DE FELICE ◽  
MARIANNA GIANNOULAKI ◽  
MAGDALENA IGLESIAS ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Mediterranean Sea ◽  
Correction Factor ◽  
Pelagic Fish ◽  
Tyrrhenian Sea ◽  
Fish Community Structure ◽  
Northern Spain ◽  
Small Pelagic Fish ◽  
Acoustic Data ◽  
The Mediterranean

Differences in acoustic estimates of small pelagic fish biomass, due to data acquisition during daytime and nighttime surveys, have been recognized for many years as a problem in acoustic surveys. In the absence of a single rule for all species and for all locations, some expert groups identified specific time intervals for acoustic data acquisition in relation to the schooling behavior of the target species. In the Mediterranean Sea, the research groups working in the MEDIAS (Mediterranean International Acoustic Survey) agreed on the importance that acoustic sampling are conducted only during day-time. Only when available time does not permit to complete the survey during daytime, data collection might be extended. In this case, working on data collected during both daytime and nighttime, a bias may occur in the biomass estimates. In order to evaluate and correct such bias, specific experiments were performed in some geographical sub-areas of the Mediterranean Sea. The data analysis allowed the estimation of a mean correction factor for the Strait of Sicily, where five surveys were carried out in different years. The correction factor was estimated also for the Adriatic Sea, Tyrrhenian Sea and Northern Spain; the observed variability among areas highlighted the importance of the spatial and temporal coverage of the survey area in order to obtain reliable estimates of the correction factor. Further studies are necessary to improve the interpretation of the obtained estimates in relation to area-related peculiarities such as zooplankton composition and abundance along with small pelagic fish community structure. 

scholarly journals SISTEM IJON PADA USAHATANI CENGKEH DI DESA RAANAN BARU KECAMATAN MOTOLING BARAT KABUPATEN MINAHASA SELATAN

2018 ◽  
Vol 14 (1) ◽  
pp. 175
Author(s):  
Sandro ., Pangemanan ◽  
Rine ., Kaunang ◽  
Jean F. J. Timban
Keyword(s):  
Sampling Method ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Research Data ◽  
Primary Data ◽  
Data Sampling ◽  
Analysis Method ◽  
Written Form ◽  
Preparation Phase ◽  
The Village

This study aims to describe the prevailing sijon system in clove farming in Raanan Baru Village, West Motoling Subdistrict. This research was conducted for 3 (three) months starting from the preparation phase until the preparation of the report that is since December 2017 s / d February 2018. The data used in this study is primary data which is research data obtained directly from the farmers as respondents and data secondary data which is a research data obtained indirectly through agency information or documents relating to this research and village data. Sampling method in this study using purposive sampling method, meaning that researchers determine their own samples taken because there are certain considerations. Data Analysis Method in this research is processed by using descriptive analysis and then Analysis This data is processed / presented in written form and table. The process of bond transfers in Raanan Baru Village has been going on for generations and has even taken root in the village community itself. From the results of case studies encountered in the field stated that the transaction system of ijon that occurred in Raanan Baru Village, West Motoling Subdistrict of South Minahasa Regency is done on the basis of both parties have agreed and have good intention to do the transaction of debt by only having mutual trust with each other.

scholarly journals PENGARUH MANAJEMEN ASET TERHADAP PENDAPATAN ASLI DAERAH PEMERINTAH KABUPATEN DAN KOTA DI JAWA BARAT

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Ony Widilestariningtyas
Keyword(s):  
Local Government ◽  
Asset Management ◽  
Research Method ◽  
Sampling Method ◽  
Secondary Data ◽  
Data Sampling ◽  
West Java ◽  
Verification Method ◽  
District Government ◽  
Take All

Conducted in the local cities and district government in West Java  this research was tookon 2014 period. The phenomenon encountered in the field is the embodiment of autonomy in theform of asset management that gave a less improvement to the local own-source revenue. The objective of this study is to determine how much influence of the asset managementon  local own-source revenue Cities and District Local Government in West Java. Research method that used in this research were descriptive and verification method withstatistical testing using Simple Linier Regression with secondary data. Sampling method used isto take all of population called census. The results showed that asset management has a significant effect on the local ownsourcerevenuewithapositivedirection,thatmeanthehigherassetmanagementpoint,thehigherlocalown-sourcerevenuewillbe.ThenThestrengthoftherelationshipwasindicatedashighcorrelation.

scholarly journals An ECG data sampling method for home-use IoT ECG monitor system optimization based on brick-up metaheuristic algorithm

2021 ◽  
Vol 18 (6) ◽  
pp. 9076-9093
Author(s):  
Qun Song ◽  
◽  
Tengyue Li ◽  
Simon Fong ◽  
Feng Wu ◽  
...  
Keyword(s):  
Real Time ◽  
Optimization Algorithm ◽  
Sampling Method ◽  
Adaptive Design ◽  
System Optimization ◽  
Data Series ◽  
Data Sampling ◽  
Metaheuristic Optimization ◽  
Metaheuristic Optimization Algorithm ◽  
Ecg Data

<abstract><p>With the rise in the popularity of Internet of Things (IoT) in-home health monitoring, the demand of data processing and analysis increases at the server. This is especially true for ECG data which has to be collected and analyzed continuously in real time. The data transmission and storage capacity of a simple home-use IoT system is often limited. In order to provide a responsive and reasonably high-resolution analysis over the data, the ECG recorder sampling rate must be tuned to an acceptable level such as 50Hz (compared to between 100Hz and 500Hz in lab), a huge amount of time series are to be gathered and dealt with. Therefore, a suitable sampling method that helps shorten the ECG data transformation time and uploading time is very important for cost saving.. In this paper, how to down sample the ECG data is investigated; instead of traditional data sampling methods, the use of a novel Brick-up Metaheuristic Optimization Algorithm (BMOA) that automatically optimizes the sampling of ECG data is proposed. By its adaptive design in choosing the most appropriate components, BMOA can build in real-time a best metaheuristic optimization algorithm for each device user assuming no two ECG data series are exactly identical. This dynamic pre-processing approach ensures each time the most optimal part of the ECG data series is harvested for health analysis from the raw data, in different scenarios from different users. In this study various application scenarios using real ECG datasets are simulated. The experimentation is tested with one of the most commonly used ECG classification methods, Long Short-Term Memory Network. The result shows the ECG data sampling by BMOA is indeed adaptive, the classification efficiency is improved, and the data storage requirement is reduced.</p></abstract>

Minat Berwirausaha Mahasiswa

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Arief Budiman ◽  
Heny Hendrayati ◽  
Yoga Perdana ◽  
Eka Surachman
Keyword(s):  
Unemployment Rate ◽  
Sampling Method ◽  
Contextual Factors ◽  
Secondary Data ◽  
Data Sampling ◽  
Purposive Sampling ◽  
The World ◽  
Central Statistics

Abstact. The Data from the Central Statistics Bureau (BPS) in 2018 showed that the open unemployment rate in Indonesia reached 5.13% or 6.7 million out of the 36.8 million workforce. Growing the spirit of entrepreneurship to students is a solution to reduce unemployment. With the spirit of entrepreneurship, it is expected that scholars can become job creators for themselves and others. This study aims to investigate the factors that influence students' interest in pursuing the world of entrepreneurship. The models analyzed included socio-demographic, attitudinal, and contextual factors. The method that will be used in this research is descriptive and verification. The data used is in the form of primary and secondary data. Sampling in this study uses the Purposive Sampling method. The results of the study can be concluded that attitude and contextual factors are significantly influence towards students’ intention to parcticing entrepreneurship. Abstrak. Pada 2018, Badan Pusat Statistik (BPS) merilis data yang menyatakan bahwa Indonesia memiliki menunjukkan tingkat pengangguran hingga 5,13%. Angka tersebut setara dengan 6,7 juta jiwa dari 36,8 juta jiwa angkatan kerja. Solusi untuk mengurangi tingginya angka pengangguran tersebut dapat dilaksanakan dengan berbagai upaya, salah satunya ialah dengan menumbuhkan minat wirausaha kepada mahasiswa. Kemunculan sarjana dengan minat wirausaha diharapkan dapat memicu tumbuhnya lapangan kerja, baik bagi dirinya sendiri maupun orang lain. Artikel ini melaporkan penelitian yang menginvestigasi berbagai faktor yang memberikan pengaruh kepada minat mahasiswa dalam menekuni kewirausahaan. Faktor-faktor tersebut meliputi sosio-demografi, sikap, dan kontekstual. Penelitian ini mengeksplorasi berbagai faktor tersebut dengan metode deskriptif dan verifikatif melalui penggunaan data primer dan sekunder. Metode purposive sampling digunakan sebagai cara penarikan sampel dalam penelitian ini. Kajian ini menyimpulkan bahwa faktor sikap dan kontekstual memengaruhi minat wirausaha mahasiswa.

scholarly journals Influence of sampling method on the chemical composition of water surface film

1976 ◽  
Vol 21 (2) ◽  
pp. 319-326 ◽  
Author(s):  
Raoul A. Daumas ◽  
Tierre L. Laborde ◽  
Jean Claude Marty ◽  
Alain Saliot
Keyword(s):  
Chemical Composition ◽  
Water Surface ◽  
Sampling Method ◽  
Surface Film ◽  
Chemical Composition Of Water

scholarly journals Vertical distribution and aggregation patterns of krill (Crustacea: Euphausiacea) in the Bay of Biscay: interannual and seasonal variability

2019 ◽  
Vol 97 (7) ◽  
pp. 619-630 ◽  
Author(s):  
M. Peña ◽  
R. González-Quirós ◽  
I. Munuera-Fernández ◽  
F. González ◽  
S. Romero-Romero ◽  
...  
Keyword(s):  
Vertical Distribution ◽  
Vertical Migration ◽  
Seasonal Variations ◽  
Seasonal Variability ◽  
Shelf Area ◽  
Bay Of Biscay ◽  
Acoustic Data ◽  
Epipelagic Zone ◽  
Acoustic Recording ◽  
The Vertical Distribution

Studies of krill (Crustacea: Euphausiacea) in oceanic waters of the Bay of Biscay are scarce and restricted to the epipelagic zone, overlooking vertical dynamics such as diurnal vertical migration (DVM). There is a growing interest in acoustically evaluating the biomass of krill in this area, but this requires a good knowledge of its vertical dynamics and aggregation patterns. In this work we employed acoustic data and net samples from two consecutive annual surveys covering a wide off-shelf area of the Bay of Biscay (JUVENA surveys of 2013 and 2014) and four seasonal surveys covering slope and oceanic waters in the Cantabrian Sea (SCAPA surveys of 2015). Vertical dynamics of krill were analyzed in the frame of the environmental seascape. High interannual and seasonal variations in the vertical distribution and aggregation patterns (small swarms, dense aggregations, or loose layers) of krill were observed. The vertical distribution covaried with dissolved oxygen and salinity. According to our findings, the best season to acoustically evaluate krill in the Bay of Biscay is spring, with the bulk of the biomass located above 600 m depth. Moreover, extending the acoustic recording beyond the epipelagic zone is mandatory for any season.

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