Wujud Al-Hilal Antara Teori Dan Aplikasi

Junaidi, Ahmad

doi:10.21154/justicia.v10i2.149

Cited by 8 publications

(15 citation statements)

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“…Forecast Error Variance Decomposition (FEVD) analysis is an analysis conducted to determine the magnitude of the effect of random shocks (shock) of certain variables on endogenous variables. Thus, it can be seen the advantages of certain variables in influencing other variables in the long term (Juanda & Junaidi, 2012). The following are the FEVD results for all variables in the Inflation model using the EViews 9 application (Juanda & Junaidi, 2012).…”

Section: 8forecast Error Variance Decomposition (Fevd) Resultsmentioning

confidence: 99%

“…Thus, it can be seen the advantages of certain variables in influencing other variables in the long term (Juanda & Junaidi, 2012). The following are the FEVD results for all variables in the Inflation model using the EViews 9 application (Juanda & Junaidi, 2012). The following are the FEVD results for all variables in the Inflation model using the EViews 9 application.…”

Section: 8forecast Error Variance Decomposition (Fevd) Resultsmentioning

confidence: 99%

“…Forecast Error Variance Decomposition (FEVD) Test Forecast Error Variance Decomposition (FEVD) analysis was conducted to determine the effect of random shocks from certain variables on endogenous variables. Thus, it can be seen the advantages of certain variables in influencing other variables in the long run (Juanda & Junaidi, 2012).…”

Section: Impulse-response Function (Irf) Testmentioning

confidence: 99%

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Inflation Through the Transmission Of Islamic And Conventional Monetary Policy In Indonesia

Rohmana,

Utami

2023

Amwaluna

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This study aims to identify the transmission of Islamic and conventional monetary policy through the interest rate channel, credit channel, and exchange rate channel to inflation in Indonesia using the Vector Error Correction Model (VECM). VECM estimates show that all variables in the short term have no effect on inflation. The results of the Impulse-Response Function (IRF) show that all variables in the model are able to stabilize the inflation rate within three to seven months, while stabilizing real sector growth takes four to eight months. The results of the Forecast Error Variance Decomposition (FEVD) show that Total Conventional Banking Credit (CRED) has the most influence on inflation, while Bank Indonesia Certificate (SBI) is the variable that has the most influence on the real sector. Sharia monetary instruments play a big role in controlling inflation, but the effect is not as big as conventional monetary instruments. So that the relevant authorities are expected to develop more sharia monetary instruments based on the real sector based on underlying assets in order to be able to strengthen their influence on inflation.

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Section: 8forecast Error Variance Decomposition (Fevd) Resultsmentioning

confidence: 99%

Section: 8forecast Error Variance Decomposition (Fevd) Resultsmentioning

confidence: 99%

Section: Impulse-response Function (Irf) Testmentioning

confidence: 99%

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Inflation Through the Transmission Of Islamic And Conventional Monetary Policy In Indonesia

Rohmana,

Utami

2023

Amwaluna

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“…, 𝑛 is the number of observations, and m is the number of parameter estimates. The null hypothesis is refused if the absolute value of 𝐴𝐷𝐹 𝑐𝑎𝑙𝑐𝑢𝑙𝑎𝑡𝑒 is greater than the ADF critical value or the ADF probability value is smaller than the specified significance level, so the data can be said to be stationary [10].…”

Section: 𝑖=1mentioning

confidence: 99%

Vector Autoregressive With Outlier Detection on Rainfall and Wind Speed Data

Lestari,

Sulistianingsih,

Perdana

2024

BAREKENG: J. Math. & App.

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Vector Autoregressive (VAR) is a multivariate time series model that analyzes more than one variable where each variable in the model is endogenous. VAR is one of the models used in forecasting rainfall and wind speed. In observations of rainfall and wind speed, there are usually a series of events whose values are far from other observations or can be said to be outliers. The purpose of this study is to compare the VAR model on rainfall and wind speed data before and after outlier detection. This study uses secondary data, namely monthly data on rainfall and wind speed from 2019 to 2021. From the analysis results, the smallest AIC value obtained in the VAR model before outlier detection was 4.94, then the smallest AIC value in the VAR model after outlier detection was 0.25. Thus, it can be concluded that the best model is obtained in the VAR model after outlier detection seen from the smallest AIC value of the two VAR models.

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“…[7] So far, Muhammadiyah uses the criteria of wujudul hilal as a guideline for determining the beginning of the Hijri month. [8] The hilal requirement in the criteria of wujudul hilal is that there has been ijtima' qabl al-ghurub (ijtima' which occurs before sunset) and the position of the moon is positive above the horizon of mar'i, even though it is only 1 minute or less [9].…”

Section: A Introductionmentioning

confidence: 99%

The Urgency and Contribution of Information Technology in Verifying the Beginning of Shubuh Time and the Height of Hilal Determining the Beginning of the Hijri Month

2023

al-marshad.j.astronomi.n.a.dan.ilmu-ilmu.berkaitan

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Article InfoThe sun's altitude of -20° as a reference for determining the beginning of shubuh time used by the Ministry of Religious Affairs is questionable. Meanwhile, in terms of hilal height as one of the criteria for determining the beginning of the Hijri month, the Ministry of Religion has also undergone adjustments and changes in 2022. The new criteria of MABIMS mention criteria in the form of a hilal height of 3° and an elongation angle of 6.4°. This research answers two formulations of problems, first, the urgency of information technology in determining the criteria for the beginning of dawn and the criteria for determining the beginning of the Hijri month in Indonesia. Second, the extent of the contribution of information technology in determining the criteria for dawn and the criteria for determining the beginning of the Hijri month in Indonesia. Analytical descriptive methods with fiqh and scientific approaches are used to answer both formulations of the problem. The study produced two findings. First, according to Islamic law, the presence of digital-based information technology is considered legal to be used and utilized to provide certainty and trust in Islamic legal products. Secondly, technology has made a major contribution in verifying dawn criteria and establishing new criteria of MABIMS.

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Wujud Al-Hilal Antara Teori Dan Aplikasi

Cited by 8 publications

References 0 publications

Inflation Through the Transmission Of Islamic And Conventional Monetary Policy In Indonesia

Inflation Through the Transmission Of Islamic And Conventional Monetary Policy In Indonesia

Vector Autoregressive With Outlier Detection on Rainfall and Wind Speed Data

The Urgency and Contribution of Information Technology in Verifying the Beginning of Shubuh Time and the Height of Hilal Determining the Beginning of the Hijri Month

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