scholarly journals PERTUMBUHAN EKONOMI PROVINSI SUMATERA SELATAN TAHUN 2008-2017

2020 ◽  
Vol 4 (1) ◽  
pp. 83
Author(s):  
Saddam Husen ◽  
Yudi Armansyah
Keyword(s):  
Time Series

Penelitian ini bertujuan untuk menganalisis pengaruh angkatan kerja, investasi, realisasi PMA, realisasi PMDN dan belanja pemerintah daerah terhadap Pertumbuhan Ekonomi Provinsi Sumatera Selatan selama kurun waktu 2008-2017. Penelitian ini menggunakan data runtut waktu tahun 2008-2017 dan menggunakan analisa regresi data time series dengan bantuan perangkat lunak Eviews 10.0. Temuan dari penelitian ini menunjukkan bahwa investasi (PMA dan PMDN) tidak berpengaruh signifikan terhadap pertumbuhan ekonomi Provinsi Sumatera Selatan, sedangkan Tenaga Kerja dan belanja pemerintah daerah secara keseluruhan memberi dampak positif terhadap Pertumbuhan Ekonomi Provinsi Sumatera Selatan.  Sebagai upaya meningkatkan Pertumbuhan Ekonomi Provinsi Sumatera Selatan, maka diperlukan kebijakan yang mendorong minat berinvestasi di daerah dan pemerataan investasi khususnya wilayah-wilayah di kabupaten. Pengembangan usaha sebaiknya diarahkan pada kegiatan yang bersifat padat karya agar mampu menyerap tenaga kerja sebanyak mungkin. Pada akhirnya peran pemerintah daerah melalui pengeluaran pemerintah yang dapat merangsang peningkatan variabel investasi dan penyerapan angkatan kerja diharapkan mampu meningkatkan kegiatan ekonomi daerah guna tercapainya pertumbuhan ekonomi dan peningkatan pendapatan perkapita masyarakat.

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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