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All Journal Journal of Innovation Research and Knowledge El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Journal of Ekonomics, Finance, and Management Studies
Dhita Diana Dewi
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Pengaruh Adanya E-Commerce terhadap Kesejahteraan Masyarakat Melalui Variabel Pengangguran di Indonesia Dhita Diana Dewi; Asri Yuniar
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 3 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i3.1523

Abstract

This research aims to determine the influence of e-commerce on people's welfare through unemployment variables in Indonesia using Structural Equation Modeling (SEM) with a Partial Least Square (PLS) approach. The current development of information technology has created new types and business opportunities where business transactions are increasingly carried out electronically. Ecommerce is a type of electronic business mechanism that focuses on individual-based business transactions using the internet as a medium for exchanging goods or services between two institutions and direct consumers, bypassing the constraints of space and time which have so far been dominant. With the existence of the internet, in this case e-commerce, it is hoped that it will be able to reduce the unemployment rate in Indonesia, in order to create prosperity for the Indonesian people. It was found that all indicators weighted on each latent variable were valid and significant, with good reliability on all latent variables of community welfare, information and computer technology (e-commerce) and employment (unemployment)
Pengaruh Adanya E-Commerce terhadap Kesejahteraan Masyarakat Melalui Variabel Pengangguran di Indonesia Dhita Diana Dewi; Asri Yuniar
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 3 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i3.1523

Abstract

This research aims to determine the influence of e-commerce on people's welfare through unemployment variables in Indonesia using Structural Equation Modeling (SEM) with a Partial Least Square (PLS) approach. The current development of information technology has created new types and business opportunities where business transactions are increasingly carried out electronically. Ecommerce is a type of electronic business mechanism that focuses on individual-based business transactions using the internet as a medium for exchanging goods or services between two institutions and direct consumers, bypassing the constraints of space and time which have so far been dominant. With the existence of the internet, in this case e-commerce, it is hoped that it will be able to reduce the unemployment rate in Indonesia, in order to create prosperity for the Indonesian people. It was found that all indicators weighted on each latent variable were valid and significant, with good reliability on all latent variables of community welfare, information and computer technology (e-commerce) and employment (unemployment)
PREDIKSI HARGA EMAS UNTUK INVESTASI MASA DEPAN MENGGUNAKAN MODEL SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) Nurul Qisthi; Shofa Lutfiah Fitri; Angel Imannuel; Dhita Diana Dewi
Journal of Innovation Research and Knowledge Vol. 4 No. 7: Desember 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v4i7.9053

Abstract

Emas merupakan aset investasi yang diminati karena stabilitasnya, namun harga emas rentan terhadap fluktuasi yang dipengaruhi berbagai faktor eksternal, seperti kondisi ekonomi global dan ketegangan geopolitik. Penelitian ini bertujuan untuk memprediksi harga emas menggunakan model Seasonal Autoregressive Integrated Moving Average (SARIMA). Data yang digunakan dalam penelitian ini adalah harga emas bulanan dalam mata uang IDR per gram dari Januari 2017 hingga November 2024. Hasil penelitian menunjukkan bahwa model SARIMA (0,2,1)(0,1,1)₁₂ merupakan model yang terbaik dan dapat menghasilkan prediksi yang cukup akurat untuk harga emas. Dengan demikian, model SARIMA (0,2,1)(0,1,1)₁₂ dapat dijadikan sebagai alat prediksi harga emas untuk periode mendatang serta memberikan informasi yang relevan bagi investor dan pelaku usaha di Indonesia dalam mengambil keputusan investasi emas pada masa mendatang.
Co-Authors Angel Imannuel Asri Yuniar Nurul Qisthi Shofa Lutfiah Fitri