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All Journal Jurnal Ilmiah Ekonomi Islam Journal of Economic, Management, Accounting and Technology (JEMATech) Jurnal Mantik Jurnal Ilmiah Edunomika (JIE) Jurnal Informatika Ekonomi Bisnis Jurnal Pasar Modal dan Bisnis
Didik Gunawan
STIE Bina Karya
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Pengaruh Label Halal, Electronic Word Of Mouth Dan Kualitas Produk Terhadap Keputusan Pembelian Skincare Safi Melalui Brand Image Dan Brand Trust Didik Gunawan Gunawan
Jurnal Ilmiah Ekonomi Islam Vol 8, No 1 (2022): JIEI : Vol. 8, No. 1, 2022
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v8i1.4508

Abstract

This study aims to determine the effect of halal labels, electronic word of mouth, and product quality on purchasing decisions mediated by brand image and brand trust on consumers who use safi skincare. The effect that we want to know is the direct or indirect effect. This type of research is explanatory research which explains the causal relationship between the variables through hypothesis testing. The sample used in this study amounted to 100 respondents with simple random sampling technique. The test tool used is Partial Least Square (PLS) using SmartPLS 3.0 software. From the results of this test, it can be concluded that the halal label, electronic word of and product quality have a significant effect on brand image. Halal label, electronic word of mouth and product quality have a significant effect on brand trust. Halal label, electronic word of mouth and product quality have no significant effect on purchasing decisions. Brand image and brand trust have a significant effect on purchasing decisions. Halal labels, electronic word of mouth have a significant effect on purchasing decisions with brand image and brand trust as mediating variables. Product quality has no significant effect on purchasing decisions with brand image and brand trust as mediating variables.
A Comparative Study Of Cryptocurrency Ability As Hedge And Safe Haven During The Covid-19 Pandemic Didik Gunawan
Jurnal Pasar Modal dan Bisnis Vol 3 No 2 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i2.97

Abstract

This study tries to prove whether dogecoin can be a hedging tool and or a safe haven like bitcoin and tether. The population of this study is all Bitcoin (BTC), Tether (USDT), Dogecoin (DOGE) and S&P 500 data with daily time series data. While the data used as a sample in this study will be divided into two parts, daily closing data that follows the opening of trading in S&P 500 stocks before the WHO announcement about the global pandemic (12 March 2020) and during the pandemic. The results show that Bitcoin and Dogecoin can act both as hedging tools and as safe havens, while Tether can only be a hedging tool but cannot be a safe haven. These results prove that even though stablecoins are guaranteed by fiat money, they have not become investors' choice as a safe haven, fears of hacking and moral hazard are allegedly the main reasons
Dynamic Relationship between the Dow Jones Industrial Average, Nikkei 225, Hang Seng Index and the Jakarta Composite Index Didik Gunawan
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2505

Abstract

This aims of study to determine the short-term and long-term effects of the Dow Jones Industrial Average, Nikkei 225, Hang Seng Index and the Jakarta Composite Index (JKSE). The data analysis technique uses the Vector Error Correction Model (VECM). The results showed that in the long term the Dow Jones Industrial Average variable had a significant negative effect on the JKSE while in the short term the Dow Jones Industrial Average had no effect on the JKSE, in the long term the Nikkei 225 variable had a positive and significant effect on the JKSE, while in the short term the Nikkei 225 did not. has an influence on the JKSE, in the long term the Hang Seng variable has a negative and significant effect on the JKSE, while in the short term the Hang Seng Index variable has no effect on the JKSE. In the short term the Dow Jones Industrial Average variable has a relationship with the Nikkei 225 variable, and the Nikkei 225 variable has no significant effect on the Hang Seng variable, while in the short term the Dow Jones Industrial Average variable has no relationship with the Hang Seng variable. This study proves that in the long term the stock index of a country with a strong economy will affect the stock index of other countries, the negative impact of this finding is that the economy of a country is easily affected by economic crises that occur in other countries.
The Autoregressive Integrated Moving Average (ARIMA) Model for Predicting Jakarta Composite Index Didik Gunawan; Weni Astika
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.144 KB) | DOI: 10.37034/infeb.v4i1.114

Abstract

The purpose of this study is to test the ability of the Autoregressive Integrated Moving Average (ARIMA) model to predict the value of the Jakarta Composite Index (JKSE) which fluctuates greatly due to the Covid-19 pandemic. The population in this study is JKSE daily closing price data for the period January 2020 to April 2021, so the sample in this study is 324 time series data. The results showed that the best ARIMA model for predicting the value of the Jakarta Composite Index was ARIMA (3,1,9). ARIMA (3,1,9) can predict the JKSE value very well because the value of the forecasting results is not much different from the actual value. This is also evidenced by the results of the accuracy test using MAPE which has a result of 1,729 which means the accuracy of forecasting is 98,27%.
Pemanfaatan Media Sosial Dan Efikasi Diri Terhadap Keberhasilan Wirausaha Dengan Inovasi Sebagai Variabel Mediasi Pada Pelaku UMKM Didik Gunawan; Rizka Monika
Journal of Economic, Management, Accounting and Technology (JEMATech) Vol 5 No 2 (2022): Agustus
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an (UNSIQ) Wonosobo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32500/jematech.v5i2.2544

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan media sosial, efikasi diri terhadap keberhasilan berwirausaha yang dimediasi oleh inovasi pada pelaku UMKM bidang kuliner Tebing Tinggi. Pengaruh yang ingin diketahui dalam penelitian ini adalah pengaruh langsung dan pengaruh tidak langsung. Jenis penelitian ini adalah explanatory research. Sampel dalam penelitian ini sebanyak 97 responden. Teknik pengambilan sampel yang digunakan adalah proportional cluster sampling yang tersebar di 5 kecamatan di Tebing Tinggi. Alat uji yang digunakan adalah Partial Least Square (PLS) dengan menggunakan software SmartPLS 3.0. Hasil pengujian ini menyimpulkan bahwa penggunaan media sosial dan efikasi diri berpengaruh terhadap keberhasilan wirausaha dengan inovasi sebagai variabel mediasi.
MODEL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN SEKTOR PROPERTY DAN REAL ESTATE Didik Gunawan; Lala Lala
JURNAL ILMIAH EDUNOMIKA Vol 7, No 1 (2023): EDUNOMIKA : Vol. 07, No. 01, 2023
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v7i1.7589

Abstract

This study aims to identify and predict financial difficulties using the Altman Z-Score and Zmijewski X-Score models for property and real estate companies listed on the Indonesia Stock Exchange (IDX) for the 2018-2020 period. This type of research is descriptive research. with a quantitative approach. The data used is secondary data in the form of company financial statements. The results showed that based on the Altman model (Z-Score) in 2018 there were 3 companies in the safe zone, 6 companies in the gray zone, and 13 companies in the distress zone. While in 2019 there were 4 companies in the safe zone, 4 companies in the gray zone, and 14 companies in the distress zone. And in 2020 there are 2 companies in the safe zone, 6 companies in the gray zone, and 14 companies in the distress zone. While the results of the research based on the Zmijewski model (X-Score) show that in 2018 there were 21 companies in the safe zone, and 1 company in the distress zone. While in 2019 all companies were in the safe zone, finally in 2020 there were 20 companies in the safe zone, and 2 companies in the distress zone. Keywords : Altman Z-Score, Zmijewski X-Score.
Co-Authors Lala Lala Rizka Monika Weni Astika