scholarly journals Prospek Perkembangan Modal Koperasi Baitul Maal Wat Tamwil Seruyan Sejahtera

2020 ◽  
Vol 8 (2) ◽  
pp. 201
Author(s):  
Rinto Alexandro, Tonich Uda
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Qualitative Approach ◽  
Least Square ◽  
Series Data ◽  
Growth Equation ◽  
New Members ◽  
Capital Growth ◽  
Capital Development

<em>Baitul Maal Cooperative Wat Tamwil Seruyan Sejahtera which addresses at Jalan Patimura, Kuala Pembuang 1, Seruyan Regency. This cooperative was formed on November 2, 2012 with a cooperative legal entity No: 124 / BH / XVIII.14 / IDKUMKM / 11/2012 and chaired by Ir. H. Tarwidi Tamasaputra. This study uses a qualitative approach that is descriptive analysis, with data collection techniques used are observation, interviews and documentation as well as the type of data used is time series data. The data obtained will be analyzed by the growth equation and least square trand. Based on the results of the study note that the capital development Based on the analysis in table 5 can be seen in 2013 there was a growth of 15%, but a decline in 2014 amounted to 17%. Growth that greatly increased in 2015 was 40% which was affected by the increase in membership. Whereas growth in 2016 was only 16%. The average capital growth of the Cooperative Baitul Maal wat Tamwil Seruyan Sejahtera in 2012-2016 is 9.62%. While based on table 7 it can be seen that the results of capital development forecasts at the Baitul Maal wat Tamwil Seruyan Sejahtera cooperative in 2017 amounted to Rp 396,035,361.60, in 2018 amounted to IDR 422,391,710.70, in 2019 amounted to IDR 448,748.059.80, in 2020, IDR 475,104,408.90 and in 2021 IDR 501,460,758.00. This forecast of development tends to increase from year to year in the<strong> </strong>amount of IDR 26,356,349.10. This increase was affected by the business carried out, the addition of new members and by voluntary contributions from members</em>

scholarly journals ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yandiles Weya ◽  
Vecky A.J. Masinambow ◽  
Rosalina A.M. Koleangan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Activity ◽  
Time Series Data ◽  
Private Investment ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
North Sulawesi ◽  
The City

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG Yandiles Weya, Vecky A.J. Masinambow, Rosalina A.M. Koleangan. Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKPada suatu periode perekonomian mengalami pertumbuhan negatif berarti kegiatan ekonomi pada periode tersebut mengalami penurunan. Kota Bitung periode tahun 2004-2014 mengalami pertumbuhan ekonomi yang fluktuasi. Adanya fluktuasi ini dapat dipengaruhi oleh investasi swasta, belanja langsung, dan penduduk Pertumbuhan ekonomi merupakan salah satu tolok ukur keberhasilan pembangunan ekonomi di suatu daerah. Pertumbuhan ekonomi mencerminkan kegiatan ekonomi. Pertumbuhan ekonomi dapat bernilai positif dan dapat pula bernilai negatif. Jika pada suatu periode perekonomian mengalami pertumbuhan positif berarti kegiatan ekonomi pada periode tersebut mengalami peningkatan. Sedangkan jikaTahun 2004-2014 yang bersumber dari Badan Pusat Statistik Provinsi Sulut dan Kota Bitung. Metode analisis yang digunakan adalah model ekonometrik regresi berganda double-log (log-log) dengan metode Ordinary Least Square (OLS). Penelitian ini bertujuan untuk mengetahui apakah perkembangan investasi swasta, belanja langsung, dan penduduk berpengaruh terhadap pertumbuhan ekonomi Kota Bitung. Data yang dipakai menggunakan data time series periodeHasil regresi model pertumbuhan ekonomi dengan persamaan regresinya yaitu  LPDRB  =  - 4,445    +  0.036 LINV  +  0.049 LBL  +  2,229 LPOP.  Dari hasil tersebutmenunjukkan perkembangan investasi swasta, belanja langsung dan penduduk berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi Kota Bitung.Kata Kunci :pertumbuhan ekonomi, belanja langsung, penduduk, regresi bergandaABSTRACT    The economy experienced a period of negative growth means economic activity in this period has decreased. Bitung-year period 2004-2014 economic growth fluctuations. These fluctuations can be influenced by private investment, direct spending, and population Economic growth is one measure of the success of economic development in an area. Economic growth reflects economic activity. Economic growth can be positive and can also be negative. If the economy experienced a period of positive growth means economic activity during the period has increased. Whereas if  years 2004-2014 are sourced from the Central Statistics Agency of North Sulawesi Province and Bitung. The analytical method used is an econometric model double-log regression (log-log) with Ordinary Least Square (OLS). This study aims to determine whether the development of private investment, direct spending, and population affect the economic growth of the city of Bitung. The data used using time series data period.    The results of the regression model of economic growth with the regression equation is LPDRB = - LINV 4.445 + 0.036 + 0.049 + 2.229 LPOP LBL. From these results show the development of private investment, direct expenditure and population positive and significant impact on economic growth of Bitung.Keywords: Economic growth, direct spending, population, regression.

Pengaruh pertumbuhan ekonomi, inflasi dan pengangguran terhadap tingkat kemiskinan di Sumatera Selatan

2019 ◽  
Vol 16 (1) ◽  
pp. 1-10
Author(s):  
Novegya Ratih Primandari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Linear Regression ◽  
Linear Regression Model ◽  
Time Series Data ◽  
Secondary Data ◽  
Poverty Rate ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square

This research aims to analyze effect of economic growth, inflation and Unemployment on the Rate of Poverty in the Province of South Sumatera. This research used secondary data in the form of time series data from 2001-2017. The method used quantitative approach by applying a linear regression model with OLS estimation Ordinary Least Square (OLS) method. The results of this study indicate that partially and simultaneously Economic Growth, Inflation and Unemployment have a significant effect on the Poverty Rate in the Province of South Sumatera.

Descriptive analysis and earthquake prediction using boxplot interpretation of soil radon time series data

2019 ◽  
Vol 154 ◽  
pp. 108861 ◽  
Author(s):  
Aleem Dad Khan Tareen ◽  
Malik Sajjad Ahmed Nadeem ◽  
Kimberlee Jane Kearfott ◽  
Kamran Abbas ◽  
Muhammad Asim Khawaja ◽  
...  
Keyword(s):  
Time Series ◽  
Earthquake Prediction ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Series Data ◽  
Soil Radon

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI VOLUME EKSPOR UDANG PUTIH (PENAEUS INDICUS) INDONESIA KE HONGKONG SERTA IMPLIKASI KEBIJAKANNYA

2018 ◽  
Vol 5 (1) ◽  
pp. 1-24
Author(s):  
Betrix Silitonga ◽  
Manuntun Parulian Hutagaol
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Least Square Method ◽  
Least Square ◽  
Nominal Exchange Rate ◽  
White Shrimp ◽  
Series Data ◽  
Selling Price ◽  
Ordinary Least Square ◽  
Penaeus Indicus

This study aimed to analyze the factors that affect the volume of Indonesian exports of white shrimp (Penaeus indicus) to Hongkong and to formulate policies that can increase the volume of exports. Ordinary Least Square method (OLS) is used to analyze the factors that affect the volume of Indonesian white shrimp exports to Hongkong by time series data (time series) period of the last 24 years (1990 until 2013). All independent variables that have significant influence on the volume of Indonesian exports of white shrimp, which are: Hongkong population, Hongkong GDP per capita constant 2005, the nominal selling price of white shrimp Indonesia to Hongkong, the nominal selling price of white shrimp competitor to Hongkong, the nominal exchange rate of the Indonesian to Hongkong and Indonesian economic crisis in 1998 (dummy). Key words: Hongkong, Ordinary Least Square (OLS), the export volume, the white shrimp (Penaeus indicus)

scholarly journals Analisis impor beras Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 89-98
Author(s):  
Yulia Sani ◽  
Siti Hodijah ◽  
Rosmeli Rosmeli
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Quantitative Analysis ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Tools ◽  
Rice Price

This study aims to analyze the development of each variable and its effect on rice imports in Indonesia for the period 1998-2017. This research uses descriptive and quantitative analysis tools. The data used is time-series data or time series. To analyze this research, the "Ordinary Least Square (OLS) method was used. The results showed that the independent variables simultaneously had a significant effect on rice imports in Indonesia. Partially, the domestic rice price variable has a positive and significant effect on rice imports in Indonesia, the exchange rate variable has a negative and significant effect on rice imports in Indonesia and the GDP variable has a negative and significant effect on rice imports in Indonesia. Keywords: Rice imports, Exchange rate, The price of rice

scholarly journals ANALISIS PERMINTAAN TELUR DI KABUPATEN SLEMAN (Analysis of Egg Demand in Sleman District)

2010 ◽  
Vol 9 (2) ◽  
pp. 197-209
Author(s):  
Ani Suryani
Keyword(s):  
Time Series Data ◽  
Descriptive Analysis ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Income Per Capita ◽  
Egg Consumption ◽  
Per Capita

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 

ANALISIS PROSPEK PERKEMBANGAN MODAL DAN TENAGA KERJA PADA INDUSTRI KECIL DI KABUPATEN SIDENRENG RAPPANG

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Agus Syam
Keyword(s):  
Time Series Data ◽  
Small And Medium Enterprises ◽  
Descriptive Analysis ◽  
Series Data ◽  
Small Scale ◽  
Quantitative Descriptive Analysis ◽  
Capital Growth ◽  
Small Industry ◽  
Small Industries ◽  
Small Scale Industries

Abstract Analysis of Prospect Capital Growth and Employment in Small Industries in The District Sidenreng Rappang. This research was conducted to answer the question "what are the prospects of capital growth and labor in the District Small Industries Sidenreng Rappang 5 (five) years from (2012-2016)". Thus, this study aims to determine how the prospect of the development of capital and labor in the District Small Industries Sidenreng Rappang 5 (five) years from (2012-2016). To that end, this study expected to be useful: (1) provide information for Local Government and the Department of Cooperatives and Small and Medium Enterprises in order to foster small-scale industries in the district Sidenreng Rappang, (2) as a reference material other researchers who study small-scale industries in the district Sidenreng Rappang. This research is a descriptive study using data time series (data year) only selected sub-populations in 2007-2011 for the development of capital and labor. Data collection techniques used are; documentation, interviews, and observations. Analysis of the data used, namely: qualitative and quantitative descriptive analysis. Result of research show the; 1) Capital developments in small industry in the District Sidenreng Rappang past five years (2007-2011) has increased by an average of 10.31 percent annually, 2) The development of labor in small-scale industries in the district Sidenreng Rappang past five years (2007-2011) has increased by an average of 1.04 percent annually, and 3) Development prospects of capital and labor in small-scale industries in the district Sidenreng Rappang for the coming five years (2012-2016) amounted to 3.93 percent.Kata Kunci: Modal, Tenaga Kerja dan Industri Kecil

scholarly journals The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 69
Author(s):  
Guoliang Feng ◽  
Wei Lu ◽  
Jianhua Yang
Keyword(s):  
Time Series ◽  
Clustering Algorithm ◽  
Time Series Data ◽  
Cognitive Map ◽  
Fuzzy Cognitive Maps ◽  
Least Square ◽  
Fuzzy Cognitive Map ◽  
Statistical Characteristics ◽  
Series Data ◽  
The Impact

A novel design method for time series modeling and prediction with fuzzy cognitive maps (FCM) is proposed in this paper. The developed model exploits the least square method to learn the weight matrix of FCM derived from the given historical data of time series. A fuzzy c-means clustering algorithm is used to construct the concepts of the FCM. Compared with the traditional FCM, the least square fuzzy cognitive map (LSFCM) is a direct solution procedure without iterative calculations. LSFCM model is a straightforward, robust and rapid learning method, owing to its reliable and efficient. In addition, the structure of the LSFCM can be further optimized with refinements the position of the concepts for the higher prediction precision, in which the evolutionary optimization algorithm is used to find the optimal concepts. Withal, we discussed in detail the number of concepts and the parameters of activation function on the impact of FCM models. The publicly available time series data sets with different statistical characteristics coming from different areas are applied to evaluate the proposed modeling approach. The obtained results clearly show the effectiveness of the approach.

scholarly journals Analisis Efektifitas dan Efisiensi Pajak Daerah, Retribusi Daerah dan Kontribusinya Terhadap Pendapatan Asli Daerah Kota Bukittinggi

2020 ◽  
Vol 22 (2) ◽  
pp. 358-369
Author(s):  
Yenni Del Rosa ◽  
Ingra Sovita ◽  
Mohammad Abdilla
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Series Data ◽  
Quantitative Descriptive Analysis ◽  
Average Efficiency ◽  
Library Research ◽  
Quantitative Descriptive ◽  
Average Contribution

ABSTRACT The purpose of this study was to determine the effectiveness and efficiency ratios of local taxation, local user fees and the ratio of their contribution to the PAD of Bukittinggi in 2014 - 2018. The research data were time series data (secondary data) collected through library research and analyzed using quantitative descriptive analysis. The results showed the ratio of the effectiveness of the average local tax and the ratio of the average efficiency of the local tax of Bukittinggi 98.86% (classified as effective and efficient). The ratio of the effectiveness of the average regional retribution and the ratio of the average efficiency of the regional levy of the city of Bukittinggi 108.91% (classified as very effective and very efficient). The ratio of the average contribution of local taxes to the Bukittinggi municipal PAD 42.58% (quite good) and the ratio of the average contribution of the regional levies to the Bukittinggi city PAD 28.10% (classified as moderate). ABSTRAK Tujuan penelitian untuk mengetahui rasio efektifitas dan rasio efisiensi  pajak daerah, retribusi daerah dan rasio kontribusinya terhadap PAD kota Bukittinggi tahun 2014 – 2018. Data penelitian berupa data time series (data sekunder)  dikumpulkan melalui library research dan dianalisis menggunakan analisis deskriptif kuantitatif. Hasil penelitian menunjukkan rasio efektifitas rata-rata pajak daerah dan rasio efisiensi rata-rata pajak daerah  kota Bukittinggi 98.86% (kategori efektif dan efisien). Rasio efektifitas rata-rata retribusi daerah dan rasio efisiensi rata-rata retribusi daerah kota Bukittinggi 108.91% (tergolong sangat efektif dan sangat efisien). Rasio kontribusi rata-rata pajak daerah terhadap PAD kota Bukittinggi 42.58% (cukup baik) dan rasio kontribusi rata-rata retribusi daerah terhadap PAD kota Bukittinggi 28.10% (sedang).  

scholarly journals ANALISIS PENGARUH INVESTASI ASING LANGSUNG (FDI) DAN INVESTASI DALAM NEGERI TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2017 ◽  
Vol 2 (1) ◽  
pp. 54-68
Author(s):  
Firdaus Jufrida ◽  
Mohd. Nur Syechalad ◽  
Muhammad Nasir
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Domestic Investment ◽  
Ordinary Least Square

This study aims to analyze the effect of foreign direct investment (FDI) and domestic investment on Indonesian economic growth. The data used was time series data on Indonesian economy from year. Furthermore, the analysis was conducted with quantitative method using Ordinary Least Square (OLS) regression method with multiple regression model. The result shows that Foreign Direct Investment (FDI) has a positive but not significantly affected Indonesia economic growth, while Domestic Investment has a positive significant effect on Indonesian economic growth. Based on the research results, it is recommended that the Indonesia government has to maintain the stability of economic variables that can stimulate foreign and domestic investment in order to achieve sustainable economic growth.Penelitian ini bertujuan untuk menganalisis pengaruh investasi asing langsung (FDI) dan investasi domestik pada pertumbuhan ekonomi Indonesia. Data yang digunakan adalah data time series pada perekonomian Indonesia dari tahun. Selanjutnya, analisis dilakukan dengan metode kuantitatif dengan menggunakan metode regresi Ordinary Least Square (OLS) dengan model regresi berganda. Hasil penelitian menunjukkan bahwa Foreign Direct Investment (FDI) memiliki positif tetapi tidak pertumbuhan ekonomi secara signifikan mempengaruhi Indonesia, sedangkan PMDN memiliki efek positif yang signifikan terhadap pertumbuhan ekonomi Indonesia. Berdasarkan hasil penelitian, disarankan agar pemerintah Indonesia harus menjaga stabilitas variabel ekonomi yang dapat merangsang investasi asing dan domestik dalam rangka mencapai pertumbuhan ekonomi yang berkelanjutan.

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