Pengaruh Produk Domestik Bruto, Inflasi, Dan Bi Rate Terhadap Indeks Harga Saham Gabungan Di Indonesia Periode 2010-2017

Subagyo, Faiza Nur Iman; Febriana, Tatik; Amalia, Nurisqi

doi:10.33633/jpeb.v3i2.2299

Cited by 7 publications

(9 citation statements)

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“…This covers cash in circulation in addition to demand deposits in commercial banks. While money in circulation is the total quantity of currency issued and circulated by the central bank, coins and paper money are also included (Arif, 2014).…”

Section: Figure 1 Indonesia's Economic Growthmentioning

confidence: 99%

The Influence of Fiscal Policy and Monetary Policy on Economic Growth in Indonesia

Suyanto

Krisprimandoyo

Mahargiono

2023

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The purpose of this study is to investigate how changes in fiscal policy and monetary policy have impacted economic expansion in Indonesia. Spending by the government, tax rates, the rate at which banks open new accounts, and the total amount of money in circulation are the variables that were investigated in this study. This study takes a quantitative approach, and the analytical method that is employed is multiple linear regression using secondary data on economic growth from 2013-2022. The data for this study was collected from the United States Department of Commerce. The study's conclusions indicate that taxes and the amount of money in circulation impact Indonesia's economic growth, but neither government spending nor interest rates on BI deposits do. Additionally, how government expenditure, taxes, interest rates, and the amount of money in circulation affect economic growth. It is 99.66%. As a result, while making future decisions about the economy, the government will need to take into account both kinds of policies in a comprehensive manner.

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Section: Figure 1 Indonesia's Economic Growthmentioning

confidence: 99%

The Influence of Fiscal Policy and Monetary Policy on Economic Growth in Indonesia

Suyanto

Krisprimandoyo

Mahargiono

2023

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“…Selain itu, indikator yang menggambarkan pasar modal di Indonesia adalah Indek Harga Saham Gabungan (IHSG), karena merupakan gabungan dari seluruh jenis saham yang tercatat di Bursa Efek Indonesia (BEI) (Listriono & Nuraina, 2015). Indek Harga Saham Gabungan merupakan nilai akumulasi dari keseluruhan saham atau emiten yang ada di Bursa Efek Indonesia (Subagyo et al, 2018). Indeks dalam pasar modal berfungsi sebagai indikator trend pasar artinya indeks saham yang mengalami peningkatan menggambarkan bahwa kondisi pasar sedang aktif, atau sebaliknya jika indek saham mengalami penurunan maka kondisi menggambarkan pasar modal sedang lesu (Asmara & Suarjaya, 2018).…”

Section: Pendahuluanunclassified

“…Motivasi penelitian yaitu, menguji kembali faktor-faktor yang telah diteliti oleh penelitian terdahulu yang mendapatkan hasil yg kontradiktif (Research gap) terhadap pengaruh inflasi, tingkat suku bunga, dan produk domestik bruto terhadap Indek Harga Saham Gabungan, antara lain penelitian yang dilakukan oleh Astuti et al, (2016), Harsono & Wonokinasih (2018), Subagyo et al, (2018), Prasetyanto (2017), dan Asmara & Suarjaya (2018).…”

Section: Balance Vocation Accounting Journalunclassified

Determinan Indek Harga Saham Gabungan Pada Perusahaan Terdaftar Di BEI Tahun 2013-2020

Indriyani

Utomo

2021

Balance. vocat. account. j.

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Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh Inflasi, Tingkat Suku Bunga, dan Produk Domestik Bruto terhadap Indek Harga Saham Gabungan yang terdaftar di Bursa Efek Indonesia Tahun 2013-2020. Data yang diambil dalam penelitian ini adalah data time series triwulan I 2013 – triwulan IV 2020. Sampel penelitian menggunakan sampel jenuh dan diperoleh sebanyak 32 sampel. Metode yang digunakan adalah kuantitatif dengan data yang digunakan adalah data sekunder. Teknik analisis yang digunakan adalah analisis regresi linier berganda dengan menggunakan software SPSS versi 24.Hasil penelitian menunjukkan bahwa secara parsial variabel Inflasi (X1) tidak berpengaruh terhadap Indek Harga Saham Gabungan (Y). Hal ini ditunjukkan dengan nilai prob. (0.963) > σ (0.05), Tingkat Suku Bunga (X2) tidak berpengaruh terhadap Indek Harga Saham Gabungan (Y). Hal ini ditunjukkan dengan nilai prob. (-0.778) > σ (0.05), dan Produk Domestik Bruto (X2) berpengaruh positif terhadap Indek Harga Saham Gabungan (Y). Hal ini ditunjukkan dengan nilai prob. (0.003) > σ (0.05). Dan secara simultan variabel Inflasi (X1), Tingkat Suku Bunga (X2), dan Produk Domestik Bruto (X3) berpengaruh terhadap Indek Harga Saham Gabungan (Y) yakni nilai prob. F (11.908) > σ (0.05). Dengan nilai persamaan regresi linear berganda IHSG = -86987.305 + 3.961 IF – 28.741 TSB + 2590.876 PDB + e dengan koefisien determinasi sebesar 51,4% yang sisanya dipengaruhi oleh faktor yang tidak diteliti.

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“…The price index is an indicator used to measure general economic conditions (Maharani, 2022). The price index has a very important role in measuring the level of economic progress in a region for the government (Arif, 2014). CPI, which stands for Consumer Price Index, is one of the price indices that is often used as the main reference in Indonesia (Raya et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Python-Powered Precision: Unraveling Consumer Price Index Trends in Makassar City through a Duel of Long Short-Term Memory and Gated Recurrent Unit Models

Abd. Rahman,

First Wanita,

Rose Arisha

et al. 2023

ceddi j. inf. syst. technol.

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This research aims to carry out a predictive analysis of the Consumer Price Index in the city of Makassar to anticipate possible impacts on inflation and deflation in the future. The Consumer Price Index is an indicator that can be used as a basis for measuring changes in the prices of goods and services purchased by consumers which have an impact on inflation in a region. The CPI is very useful for knowing the level of increase in prices, services, and income, as well as measuring the amount of production costs. This data was obtained through the official website of the Central Statistics Agency (BPS) for the Makassar city area. The methods used in this research are Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). The results of this research show that based on analysis and testing, the LSTM model has an MAE of 1.0849 and the GRU model has an MAE of 0.9915, which shows that there is no significant difference between the two methods and both methods can work very well, however, The lowest error value was obtained in the GRU model using a 70:30 dataset ratio, 9 number of sequences, 16 neurons in hidden layer 1 and 32 neurons in hidden layer 2, and 1000 number of epochs.

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Pengaruh Produk Domestik Bruto, Inflasi, Dan Bi Rate Terhadap Indeks Harga Saham Gabungan Di Indonesia Periode 2010-2017

Cited by 7 publications

References 0 publications

The Influence of Fiscal Policy and Monetary Policy on Economic Growth in Indonesia

The Influence of Fiscal Policy and Monetary Policy on Economic Growth in Indonesia

Determinan Indek Harga Saham Gabungan Pada Perusahaan Terdaftar Di BEI Tahun 2013-2020

Python-Powered Precision: Unraveling Consumer Price Index Trends in Makassar City through a Duel of Long Short-Term Memory and Gated Recurrent Unit Models

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