Forecast Analysis of Gross Regional Domestic Product based on the Linear Regression Algorithm Technique

Statistical data are indispensable for macro-economic planning activities such as the Gross Regional Domestic Product (GRDP) where data can determine the economic development strategies and policies that have been adopted and can be continued in the future. This study draws on quantitative data sources from the Regional Statistical Agency of Jakarta for the period 2017-2019, the subject of the Gross Regional Domestic Product based on current business prices. The aim of this research is to test and predict the level of accuracy of GRDP at current prices based on business fields using the Linear Regression method supported by Rapid Miner software. The results show that the validated Linear Regression algorithm with K-Fold values from 2 to 10 with the sampling type linear sampling and shuffled sampling can be used and implemented with the smallest Root Mean Square Error value of IDR 9,977,431 at k = 10 for the sampling.

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ANALISIS PENGARUH PRODUK GADAI EMAS (RAHN EMAS) TERHADAP PENINGKATAN FEE BASED INCOME (FBI) PADA PT. BANK SYARIAH MANDIRI

Imara JURNAL RISET EKONOMI ISLAM ◽

10.31958/imara.v4i2.2248 ◽

2020 ◽

Vol 4 (2) ◽

pp. 106

Author(s):

Ismaulina Ismaulina ◽

Oumar Tidiane Doumbouya

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Quantitative Data ◽

Significant Contribution ◽

Financial Statements ◽

Regression Method ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Profit Rate ◽

Net Interest Margin

Fee Based Income is the income that keeps the company from decreasing the net interest margin (NIM). The amount of profit obtained by the bank as well as being efficient and effective in managing company finances, shows a good bank financial performance. One of the products of PT. BSM that provides Fee Based Income is Gold Pawn (rahn) services provided by banks to customers. This research uses quantitative data. Data obtained from the monthly financial statements of gold pawn products and FBI at PT. Bank Syariah Mandiri period January 2017 - December 2019. This study uses a simple linear regression method. Regression analysis shows that the effect of gold rahn on fee based income is significant where t count (3.826)> t table (2.03) and a significance of 0.001 <0.05 so that Ho is rejected and Ha is accepted. It can be concluded that the Gold Rahn variable has a significant effect on FBI. This happens because the total gold Rahn fee received by Bank Syariah Mandiri makes a significant contribution to the bank's profit rate.

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PENGARUH PENERIMAAN REMITANSI TERHADAP PENGENTASAN KEMISKINAN DI INDONESIA

ECOPLAN : JOURNAL OF ECONOMICS AND DEVELOPMENT STUDIES ◽

10.20527/ecoplan.v3i1.65 ◽

2020 ◽

Vol 3 (1) ◽

pp. 48-54

Author(s):

Misdawati Misdawati ◽

Syahrituah Siregar

Keyword(s):

Time Series ◽

Linear Regression ◽

Gross Domestic Product ◽

World Bank ◽

Poverty Alleviation ◽

Regression Method ◽

Least Square ◽

Domestic Product ◽

Linear Regression Method ◽

Ordinary Least Square

Abstract—Remittance is a source of external finance for developing countries. This research aims to determine the remittance influence on poverty alleviation in Indonesia, as well as to determine the influence of the control variables on poverty alleviation which is unemployment and gross domestic product. This study uses a descriptive quantitative approach, using time series data from 1999 to 2018 obtained From the World Bank, BPS, Bank Indonesia and BNP2TKI. Data analysis techniques using double linear regression method (multiple linear Regression method) with smallest squared Method (Ordinary Least Square). The results showed that remittance had significant negative correlation on poverty alleviation in Indonesia by 3,08%. Unemployment has a significant positive impact on poverty alleviation, and gross domestic product has a significant negative impact on poverty alleviation in Indonesia. Still low delivery remittance that enter Indonesia due to low levels of education that has migrants, low wages, and expensive remittance shipping costs through financial institutions. Keywords: Remittance, Poverty, Indonesia, OLS (DEA) Abstrak - Remitansi menjadi sumber keuangan eksternal bagi negara berkembang. Penelitian ini bertujuan untuk mengetahui pengaruh remitansi terhadap pengentasan kemiskinan di Indonesia, serta untuk mengetahui pengaruh dari variabel kontrol terhadap pengentasan kemiskinan yaitu Pengangguran dan Produk Domestik Bruto. Penelitian ini menggunakan pendekatan kuantitatif deskriptif, menggunakan data time series dari tahun 1999 hingga tahun 2018 yang diperoleh dari World Bank, Badan Pusat Statistik, Bank Indonesia dan BNP2TKI. Teknik Analisis data menggunakan Metode Regresi Linier Berganda (Multiple Linier Regression Method) dengan Metode Kuadrat Terkecil (Ordinary Least Square). Hasil penelitian menunjukkan bahwa Remitansi berpengaruh negatif signifikan terhadap pengentasan kemiskinan di Indonesia sebesar 3,08 persen. Pengangguran berpengaruh positif signifikan terhadap pengentasan kemiskinan, dan Produk Domestik Bruto berpengaruh negatif signifikan terhadap pengentasan kemiskinan di Indonesia. Masih rendahnya pengiriman remitansi yang masuk ke Indonesia disebabkan karena rendahnya tingkat pendidikan yang dimiliki migran, rendahnya tingkat upah, serta mahalnya biaya pengiriman remitansi melalui lembaga keuangan. Kata kunci: Remitansi, Kemiskinan, Indonesia, OLS

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Pengaruh Kredit Bermasalah, Modal Sendiri dan Volume Usaha terhadap Sisa Hasil Usaha Koperasi Pegawai Negeri Guru Agama Batipuh

JUSIE (Jurnal Sosial dan Ilmu Ekonomi) ◽

10.36665/jusie.v2i02.135 ◽

2018 ◽

Vol 2 (02) ◽

pp. 90-101

Author(s):

Chitra Indah Sari

Keyword(s):

Data Analysis ◽

Linear Regression ◽

Interest Rates ◽

Multiple Linear Regression ◽

Quantitative Data ◽

Regression Method ◽

Linear Regression Method ◽

Dominant Effect ◽

Know How ◽

Multiple Linear Regression Method

The purpose of this research is as follows: 1) to find out how much problem loans affect SHU KPN-GA Batipuh 2) to know how big of own capital influence SHU KPN-GA Batipuh 3) to know how big business volume influence SHU KPN -GA Batipuh.This research takes place in the Cooperative Islamic Teacher in Batipuh District Tanah Datar. The data collected are quantitative data from RAT reports of civil Islamic teacher cooperative Batipuh in 2010-2015. Data analysis was done by multiple linear regression method. The result of data analysis is known that the problem loans, own capital and business volume simultaneously have significant effect to the Business Result Residual (SHU) of Cooperative Islamic Teacher Batipuh. The problem of non performing loans has the most dominant effect on the Business Result of Islamic Teacher Cooperative (KPN-GA) Batipuh.Based on the results of the research, it is suggested that there should be handling of non-performing loans, increase business capital and lower interest rates, as it will affect the remaining results of operations.

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Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i6.255 ◽

2018 ◽

Vol 6 (6) ◽

pp. 119

Author(s):

Mohammad Shohidul Islam ◽

Sultana Easmin Siddika ◽

S M Injamamul Haque Masum

Keyword(s):

Linear Regression ◽

Correlation Coefficients ◽

Rain Gauge ◽

Regression Method ◽

Linear Regression Method ◽

Climate Data ◽

Rainfall Forecasting ◽

Statistical Parameters ◽

Time Duration ◽

Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

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An alternative model of the vibronic coupling in octahedral complexes

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19881134 ◽

1988 ◽

Vol 53 (6) ◽

pp. 1134-1140

Author(s):

Martin Breza ◽

Peter Pelikán

Keyword(s):

Linear Regression ◽

Alternative Model ◽

Potential Surface ◽

Analytical Formula ◽

Coupling Model ◽

Regression Method ◽

Vibronic Coupling ◽

Linear Regression Method ◽

Active Systems ◽

Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

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The Accuracy Assessment of Weapon System Using Grey Linear Regression Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.268-270.1809 ◽

2012 ◽

Vol 268-270 ◽

pp. 1809-1813

Author(s):

Dai Yu Zhang ◽

Bao Wei Song ◽

Zhou Quan Zhu

Keyword(s):

Linear Regression ◽

Fuzzy Theory ◽

Accuracy Assessment ◽

Regression Method ◽

Small Sample ◽

Easy Access ◽

Linear Regression Method ◽

Grey Theory ◽

Weapon System ◽

Complex Engineering

The accuracy assessment of weapon system is always a complex engineering. How to make the most of the information given in only a few tests and obtain reasonable estimate is always a problem. Based on the fuzzy theory and grey theory, a grey linear regression method is presented. From the numerical example, we can see that this method provides an easy access to deal with data in small sample case and may have potential use in the analysis of weapon performance.

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Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru)

Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) ◽

10.32672/jnkti.v3i3.2520 ◽

2020 ◽

Vol 3 (3) ◽

pp. 330-334

Author(s):

Novita Ria Lase ◽

Fristi Riandari

Keyword(s):

Linear Regression ◽

Regression Method ◽

Point Of View ◽

Computational Techniques ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Tuition Fees ◽

Use Of Data ◽

New Students ◽

New Student

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.

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