scholarly journals Pemetaan Zona Daerah Penangkapan Ikan Dengan Bagan Perahu Cungkil Berdasarkan Time Series Pada Perairan Teluk Bone

Jurnal Airaha ◽  
2021 ◽  
Vol 10 (01) ◽  
pp. 056-067
Author(s):  
Arham Rumpa ◽  
Muhammad maskur ◽  
Fajar Hermawan ◽  
Amir Yusuf
Keyword(s):  
Time Series ◽  
Rastrelliger Kanagurta

Penelitian ini bertujuan untuk mengidentifikasi aspek teknik bagan perahu cungkil, pemetaan  zona daerah penangkapan ikan berdasarkan time series bulanan, komposisi hasil tangkapan target spesies berdasarkan time series bulanan dan komposisi hasil tangkapan target spesies berdasarkan jarak dan kedalaman perairan. Penelitian  dilaksanakan Maret 2020 - Februari 2021, lokasi penelitian di Teluk Bone. Data dipetakan menggunakan rekaman posisi pada GPS yang kemudian di overlay kedalam tampilan aplikasi Novianic Asia Afrika. Penelitian bertujuan untuk mengidentifikasi aspek teknis bagan perahu cungkil, pemetaan  zona daerah penangkapan ikan berdasarkan time series bulanan, komposisi hasil tangkapan berdasarkan musim jarak dan kedalaman perairan. Hasil analisis menemukan bahwa alat tangkap bagan cungkil termasuk kedalam klasifikasi bagan perahu sama seperti bouke ami dengan metode pengoperasiannya menggunakan lampu (light fishing) sebagai daya tarik mengumpulkan ikan yang bersifat (phototaxis), zona Daerah Penangkapan Ikan (DPI) berdasarkan time series bulanan memperlihatkan kosentrasi penangkapan berada pada perairan pesisir timur Teluk Bone, Proporsi ikan banyak tertangkap didominasi Ikan Teri (Steleporus devisi), Cumi-cumi (Loligo sp), Tembang (Sardinella fimbriata) dan kosentrasi tertangkap pada jarak 0,4 – 2,4 mill dengan kedalaman 15 – 50 meter dan Tongkol lisong (Auxis rochei), Layang (decapterus ruselli) dan Kembung (Rastrelliger kanagurta) dengan jarak  12 - 24 mil dari pantai pada kedalaman ≥ 200 meter.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

Automatic Identification of Autoregressive Integrated Moving Average Time Series

1982 ◽  
Vol 14 (3) ◽  
pp. 156-166 ◽  
Author(s):  
Chin-Sheng Alan Kang ◽  
David D. Bedworth ◽  
Dwayne A. Rollier
Keyword(s):  
Time Series ◽  
Moving Average ◽  
Automatic Identification ◽  
Autoregressive Integrated Moving Average

Smoothing Facilitates the Detection of Coupled Responses in Psychophysiological Time Series

2000 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Joni Kettunen ◽  
Niklas Ravaja ◽  
Liisa Keltikangas-Järvinen
Keyword(s):  
Time Series ◽  
Type I Error ◽  
Electrodermal Activity ◽  
Moving Average ◽  
Type I ◽  
Facial Electromyography ◽  
Response Characteristics ◽  
Smoothing Methods ◽  
Response Systems ◽  
Different Response

Abstract We examined the use of smoothing to enhance the detection of response coupling from the activity of different response systems. Three different types of moving average smoothers were applied to both simulated interbeat interval (IBI) and electrodermal activity (EDA) time series and to empirical IBI, EDA, and facial electromyography time series. The results indicated that progressive smoothing increased the efficiency of the detection of response coupling but did not increase the probability of Type I error. The power of the smoothing methods depended on the response characteristics. The benefits and use of the smoothing methods to extract information from psychophysiological time series are discussed.

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