scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN TENAGA LISTRIK KONSUMEN SEKTOR KONSUMTIF PERUSAHAAN LISTRIK NEGARA

2017 ◽  
Vol 14 (3) ◽  
pp. 330
Author(s):  
Aminullah Assagaf
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Explanatory Variable ◽  
Negative Impact ◽  
Data Distribution ◽  
Electricity Demand ◽  
Series Data ◽  
Analysis Model ◽  
Demand And Supply ◽  
Independent Variable

This research aims to analyse electricity demand, and focus for consumptive sector in PT Perusahaan listrik Negara (Persero) or PT PLN (Persero). While selected by consumptive sector is some region in Jawa Bali and otuside Jawa Bali. Step of research and process result based on SPSS calculation, and use time series data year 1995 - 2009. As for used analysis model follow its data distribution that is the non linear regression model being based on Ln with dependent variable is demand electricity or kWh sales, and independent variable consist of install capacity, average tariff, and rate of capacity using percustomers. Obtain result that install capacity and rate of capacity using percustomers have given positif impact, and average tariff have given negative impact. All of that independent variable have significant influence, and install capacity variable most its influence significant to electricity demand of consumptive sector. PLN’s management has to observe growth of explanatory variable to make policy for demand and supply equilibrium and toward customers satisfaction.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN TENAGA LISTRIK KONSUMEN SEKTOR KONSUMTIF PERUSAHAAN LISTRIK NEGARA

2018 ◽  
Vol 14 (3) ◽  
pp. 330-349
Author(s):  
Aminullah Assagaf
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Explanatory Variable ◽  
Negative Impact ◽  
Data Distribution ◽  
Electricity Demand ◽  
Series Data ◽  
Analysis Model ◽  
Demand And Supply ◽  
Independent Variable

This research aims to analyse electricity demand, and focus for consumptive sector in PT Perusahaan listrik Negara (Persero) or PT PLN (Persero). While selected by consumptive sector is some region in Jawa Bali and otuside Jawa Bali. Step of research and process result based on SPSS calculation, and use time series data year 1995 - 2009. As for used analysis model follow its data distribution that is the non linear regression model being based on Ln with dependent variable is demand electricity or kWh sales, and independent variable consist of install capacity, average tariff, and rate of capacity using percustomers. Obtain result that install capacity and rate of capacity using percustomers have given positif impact, and average tariff have given negative impact. All of that independent variable have significant influence, and install capacity variable most its influence significant to electricity demand of consumptive sector. PLN’s management has to observe growth of explanatory variable to make policy for demand and supply equilibrium and toward customers satisfaction. 

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN TENAGA LISTRIK KONSUMEN INDUSTRI KECIL PT PERUSAHAAN LISTRIK NEGARA (PERSERO)

IQTISHODUNA ◽  
2012 ◽  
Author(s):  
Aminuddin Aminuddin
Keyword(s):  
Cross Section ◽  
Explanatory Variable ◽  
Negative Impact ◽  
Electricity Demand ◽  
Cross Section Data ◽  
Demand And Supply ◽  
Section Data ◽  
Industry Sector ◽  
Small Industry ◽  
Independent Variable

This research is analysis of electricity demand, and focus for small industry sector in PT Perusahaan listrik Negara (Persero) or PT PLN (Persero). Dependent variable is demand electricity or kWh sales, and independent variable consist of install capacity, average tariff, and rate of capacity using percustomers. Step of research and process result based on SPSS calculation, and use cross section data on January 2010. Obtain result that install capacity has given positif impact, and average tariff and rate of capacity using percustomers has given negative impact. All of that independent variable has significant influence to electricity demand of small industry sector. PLN’s management has to observe growth of explanatory variable to make policy for demand and supply equilibrium and toward customers satisfaction.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN TENAGA LISTRIK KONSUMEN RUMAH TANGGA SEDANG PT PERUSAHAAN LISTRIK NEGARA (PERSERO)

2010 ◽  
Vol 6 (3) ◽  
Author(s):  
Aminullah Assagaf
Keyword(s):  
Cross Section ◽  
Explanatory Variable ◽  
Negative Impact ◽  
Electricity Demand ◽  
Strategy Management ◽  
Cross Section Data ◽  
Demand And Supply ◽  
Section Data ◽  
Independent Variable

This research is analysis of electricity demand, and focus for medium recidence sector in PT Perusahaan listrik Negara (Persero) or PT PLN (Persero). Dependent variable is demand electricity or kWh sales, and independent variable consist of install capacity, average tariff, and rate of capacity using percustomers. Step of research and process result based on SPSS calculation, and use cross section data on January 2010. Obtain result that install capacity and rate of capacity using percustomers has given positif impact, and average tariff has given negative impact. Install capacity and average tariff variable has significant influence  to electricity demand of medium recidence sector, but rate of capacity using percustomers has not significant influence  to electricity demand of medium recidence sector. PLN’s management has to observe growth of explanatory variable to make policy for demand and supply equilibrium and toward customers satisfaction.Key word : Electricity demand , Strategy Management, and Microeconomic

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN TENAGA LISTRIK KONSUMEN RUMAH TANGGA KECIL PT PERUSAHAAN LISTRIK NEGARA (PERSERO)

2010 ◽  
Vol 6 (2) ◽  
Author(s):  
Aminullah Assagaf
Keyword(s):  
Cross Section ◽  
Significant Influence ◽  
Explanatory Variable ◽  
Negative Impact ◽  
Electricity Demand ◽  
Strategy Management ◽  
Cross Section Data ◽  
Demand And Supply ◽  
Section Data ◽  
Independent Variable

This research is analysis of electricity demand, and focus for small recidence sector in PT Perusahaan listrik Negara (Persero) or PT PLN (Persero). Dependent variable is demand electricity or kWh sales, and independent variable consist of install capacity, average tariff, and rate of capacity using percustomers. Step of research and process result based on SPSS calculation, and use cross section data on January 2010. Obtain result that install capacity and rate of capacity using percustomers has given positif impact, and average tariff has given negative impact. Install capacity variable has significant influence to electricity demand of small recidence sector, but average tariff and rate of capacity using percustomers has not significant influence to electricity demand of small recidence sector. PLN’s management has to observe growth of explanatory variable to make policy for demand and supply equilibrium and toward customers satisfaction.Keyword : Electricity demand, Strategy Management, and Microeconomic

scholarly journals Analisis Intervesi Fungsi Step Efek Program Tol-Laut Terhadap Pergerakan Harga Saham TMAS.JK

2019 ◽  
Vol 5 (01) ◽  
pp. 47-54
Author(s):  
Wigid Hariadi
Keyword(s):  
Time Series ◽  
Stock Price ◽  
Time Series Data ◽  
Vice President ◽  
Step Function ◽  
Series Data ◽  
Intervention Analysis ◽  
Analysis Model ◽  
External Events ◽  
Port Construction

Abstract. Intervention analysis is used to evaluate the effect of external events on a time series data. Sea-highway program is one of the leading programs Joko Widodo-Jusuf Kalla in presidential election 2014. So the author want to modeling the effect from Sea-highway programs on stock price movement in the shipping sector, TMAS.JK (Pelayaran Tempuran Emas tbk). After analyzing, proven that it has happened intervention on movement of daily stock price TMAS.JK caused by Sea-highway programs. Intervention I, on 11 August 2014, which was efect as a result of the election of the Joko Widodo-Jusuf kalla pair as President and vice President Republic of Indonesia on 22 july 2014. Intervention II, on 10 november 2014, president Joko Widodo speech in APEC about Sea-highway Program, and offering investment in port construction to foreign country. So that the model of time series analysis that right is intervention analysis model multi input step function, where the model is ARIMA (2,1,0), StepI (b=0, s=2, r=1), StepII (b=3, s=0, r=1).  Keywords: Intervention Analysis, Multi Input, Step Function, Sea-highway.    Abstrak. Analisis intervensi digunakan untuk mengevaluasi efek dari peristiwa eksternal pada suatu data time series. Program Tol-Laut merupakan salah satu program unggulan pasangan Joko Widodo-Jusuf Kalla dalam pemilu 2014. sehingga, penulis ingin memodelkan efek dari Program Tol-Laut terhadap pergerakan harga saham dibidang pelayaran, TMAS.JK (Pelayaran Tempuran Emas tbk). Setelah dilakukan analisis data, terbukti bahwa terjadi intervensi pada pergerakan harga saham harian TMAS.JK yang disebabkan oleh efek dari program Tol-Laut. Dimana intervensi I, pada tanggal 11 Agustus 2014, yang diduga sebagai dampak dari terpilihnya pasangan Joko widodo-Jusuf Kalla sebagai presiden dan wakil presiden Republik Indonesia pada tanggal 22 Juli 2014. Intervensi II, pada tanggal 10 November 2014, pidato Presiden Joko Widodo di forum APEC mengenai program  tol  laut, dan  menawarkan investasi dibidang pembangunan pelabuhan  kepada bangsa asing. Sehingga model analisis time series yang tepat adalah model analisis intervensi multi input fungsi step, dimana modelnya adalah ARIMA (2,1,0), StepI (b=0, s=2, r=1), StepII (b=3, s=0, r=1). Kata kunci: Analisis intervensi, Multi Input, fungsi step, Tol-Laut.

scholarly journals Determinants of Exports of Pakistan: A Country-wise Disaggregated Analysis.

2011 ◽  
Vol 50 (4II) ◽  
pp. 715-732 ◽  
Author(s):  
Naseeb Zada ◽  
Malik Muhammad ◽  
Khan Bahadar
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Export Performance ◽  
Small Samples ◽  
Series Data ◽  
Supply Side ◽  
Empirical Bayesian ◽  
Demand And Supply ◽  
Price And Income Elasticities ◽  
Trade Partners

Given the importance of international trade and export performance in economic growth, this study attempts to examine the determinants of exports of Pakistan, using a time series data over the period 1975-2008. A simultaneous equation approach is followed and the demand and supply side equations are specified with appropriate variables. This is a country-wise disaggregated analysis of Pakistan versus its trade partners and the estimation strategy is based on two approaches. First we employ the Generalised Methods of Moments (GMM), which is followed by the Empirical Bayesian technique to get consistent estimates. The GMM technique is believed to be efficient for time series data provided the sample size is sufficiently large. In case of small samples, the estimates might not be precise and might appear with unbelievable sign and insignificant magnitudes. To avoid the sample bias and other problems, we employ the Empirical Bayesian technique which provides much precise estimates. The factual results obtained via the GMM technique are a little bit mixed, although most of the coefficients are found to be statistically significant and carry their expected signs. In order to compare and validate these results, the Empirical Bayesian technique is employed. This offers considerable improvement over the previous results and all the variables are found to be highly significant with correct sign across the countries concerned with the exception of a few cases. The price and income elasticities in both the demand and supply side equations carry their expected signs and significant magnitudes for the trading partners. The findings suggest that exports of Pakistan are much sensitive to changes in the world demand and world prices. This establishes the importance of demand side factors like world GDP, Real exchange rate, and world prices to determine the exports of Pakistan. On the supply side, we find relatively small price and income elasiticities. The results reveal that demand for exports is relatively higher for countries in NAFTA, European Union and Middle East regions. The study recommends particular concentration on the trade partners in these regions to improve the export performance of Pakistan. Keywords: Exports, GMM, Empirical Bayesian Method, Pakistan

scholarly journals PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Regression Analysis ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

News Article Based Industry Risk Index Prediction for Industry-Specific Evaluation

2021 ◽  
Author(s):  
Kyungwon Kim ◽  
Kyoungro Yoon
Keyword(s):  
Time Series ◽  
Time Delay ◽  
Evaluation Method ◽  
Time Series Data ◽  
Risk Index ◽  
News Article ◽  
Series Data ◽  
Specific Interest ◽  
Analysis Model ◽  
Long Time

The existing industry evaluation method utilizes the method of collecting the structured information such as the financial information of the companies included in the relevant industry and deriving the industrial evaluation index through the statistical analysis model. This method takes a long time to calculate the structured data and cause the time delay problem. In this paper, to solve this time delay problem, we derive monthly industry-specific interest and likability as a time series data type, which is a new industry evaluation indicator based on unstructured data. In addition, we propose a method to predict the industrial risk index, which is used as an important factor in industrial evaluation, based on derived industry-specific interest and likability time series data.

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