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All Journal JISA (Jurnal Informatika dan Sains) Jurnal Transportasi Multimoda BUANA GENDER : Jurnal Studi Gender dan Anak Relevance: Journal of Management and Business
Rizqiana, Zulfanita Dien
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences Transportation

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Gender Roles in Moderating Financial Literacy and Lifestyle in Financial Behavior Rizqiana, Zulfanita Dien
Buana Gender: Jurnal Studi Gender dan Anak Vol. 8 No. 2 (2023)
Publisher : Universitas Islam Negeri Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/bg.v8i2.8439

Abstract

Economic development aims not only for society's welfare but also to form broad-minded people with a mindset about financial management. Management can start with understanding literacy and carrying a daily lifestyle. Financial behavior can be reflected in various aspects, including spending styles, investment approaches, saving tendencies, and financial risks. Some social and cultural factors related to gender can also affect how a person manages finances. This study aims to determine whether gender can strengthen or weaken the relationship between financial literacy and lifestyle to financial behavior. The data used in this study is primary data based on the results of questionnaires collected from 150 respondents. The data analysis process in this study uses SEM-PLS analysis techniques with the help of SmartPLS software by making structural, measurement, and path models to test hypotheses so that conclusions can be drawn. Based on the results of hypothesis testing, it is known that the latent variable of financial literacy significantly affects financial behavior. Meanwhile, latent lifestyle variables do not affect financial behavior. The gender moderation variable did not significantly affect the relationship between the latent financial literacy variable and the latent lifestyle variable on the latent financial behavior variable. Keyword: Gender, Financial Literacy, Lifestyle, and Financial Behavior
Pendekatan Ridge Regression untuk Analisis Kualitas Layanan dan Kepuasan Pelanggan Kereta Api Perkotaan: Studi Commuterline Solo-Yogyakarta Astuti, Septin Puji; Falantana, Alvian Anggi; Rizqiana, Zulfanita Dien; Kusumawardani, Rizky
Jurnal Transportasi Multimoda Vol. 21 No. 2 (2023): Desember
Publisher : Puslitbang Transportasi Antarmoda-Kementerian Perhubungan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/mtm.v21i2.2153

Abstract

Sekarang ini, kereta api menjadi moda transportasi yang prospective bagi para komuter. Oleh karena itu, jalur komuter dikembangkan di beberapa kota di Indonesia untuk menyediakan kendaraan umum bagi masyarakat. Kereta Rel Listrik (KRL) Solo-Yogyakarta adalah salah satu jalur komuter yang ada di Indonesia. Jalur ini mulai beroperasi sejak tahun 2021. Untuk meningkatkan layanan commuterline, penelitian ini dilakukan untuk mengidentifikasi hubungan antara kepuasan pelanggan dan kualitas layanan. Lima dimensi dari Kualitas Layanan yang diusulkan oleh Parasuraman digunakan dalam penelitian ini. ridge regression diterapkan dalam penelitian untuk mengatasi kolinearitas antarvariabel independennya. Hasilnya menunjukkan bahwa semua variabel kualitas layanan memiliki pengaruh signifikan terhadap kepuasan pelanggan KRL Solo-Yogyakarta. Variabel keberwujudan dan empati adalah dua variabel yang memiliki pengaruh terbesar terhadap kepuasan pelanggan KRL Solo-Yogyakarta yaitu sebesar 0,399 dan 0,326 untuk variabel keberwujudan dan empati.
Long Short Term Memory For Comparison Between Bank Syariah Indonesia And PT Bank Artos Indonesia Shares Rizqiana, Zulfanita Dien; Akhsan, Izzat Muhammad; Priyanto, Intan Indrasara; Maharani, Aninda Sabila
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2131

Abstract

The growth of the capital market in Indonesia has increased from year to year. Based on data from the Indonesia Central Securities Corporation (KSEI), there has been an increase in investor growth in the capital market by 2.34%, mutual funds by 2.44%, and shares by 1.34% until August 2024. The demographic of individual investors in the capital market is dominated by Generation Z who are younger than from 30 years as much as 55.07% in August 2024 (KSEI, 2024). Shares are a form of investment that has the potential for large profits but with small risks. One sector that Gen Z is interested in investing in is the financial sector. The aim of this research is to compare the share prices of Bank Syariah Indonesia and Bank PT Ban Artos Indonesia Tbk using a Neural Network with the Long Short Term Memory (LTSM) algorithm. The data used in this research is secondary data on BSI and PT Bank Artos Indonesia Tbk share prices taken from the investing.com website. The data period used is from 01 September 2021 – 01 September  2024. Based on the results of stock price forecasting using a Neural Network with the LTSM algorithm, RMSE value for both models is  for BSI 75.0757 and 91.795 for PT. Bank Artos Indonesia Tbk. A comparison of the predicted share prices of PT Bank Arto Indonesia Tbk and BSI shows that BSI's share price performance is superior to that of PT Bank Arto Indonesia Tbk.
Long Short Term Memory For Comparison Between Bank Syariah Indonesia And PT Bank Artos Indonesia Shares Rizqiana, Zulfanita Dien; Akhsan, Izzat Muhammad; Priyanto, Intan Indrasara; Maharani, Aninda Sabila
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2115

Abstract

The growth of the capital market in Indonesia has increased from year to year. Based on data from the Indonesia Central Securities Corporation (KSEI), there has been an increase in investor growth in the capital market by 2.34%, mutual funds by 2.44%, and shares by 1.34% until August 2024. The demographic of individual investors in the capital market is dominated by Generation Z who are younger than from 30 years as much as 55.07% in August 2024 (KSEI, 2024). Shares are a form of investment that has the potential for large profits but with small risks. One sector that Gen Z is interested in investing in is the financial sector. The aim of this research is to compare the share prices of Bank Syariah Indonesia and Bank PT Ban Artos Indonesia Tbk using a Neural Network with the Long Short Term Memory (LTSM) algorithm. The data used in this research is secondary data on BSI and PT Bank Artos Indonesia Tbk share prices taken from the investing.com website. The data period used is from 01 September 2021 – 01 September  2024. Based on the results of stock price forecasting using a Neural Network with the LTSM algorithm, RMSE value for both models is  for BSI 75.0757 and 91.795 for PT. Bank Artos Indonesia Tbk. A comparison of the predicted share prices of PT Bank Arto Indonesia Tbk and BSI shows that BSI's share price performance is superior to that of PT Bank Arto Indonesia Tbk.
The Implementation of AI and Immersive Technology in E-Commerce: The Role of Customer Engagement as a Mediating Variable Aliyah, Kisti Nur; Rizqiana, Zulfanita Dien
Relevance: Journal of Management and Business Vol. 7 No. 1 (2024): (June-Issue)
Publisher : UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/relevance.v7i1.9124

Abstract

The headway of information and communication technology has led to significant changes in various industries, particularly in e-commerce. The integration of artificial intelligence (AI) and immersive technologies such as augmented reality (AR) and virtual reality (VR) has created new opportunities for e-commerce to improve customer experiences. This study analyzes the effects of implementing AI and immersive technology in e-commerce, focusing on customer engagement as a mediating factor. A sample of 99 participants was examined and analyzed using PLS-SEM by SmartPLS 4 software, and the findings indicate that AI and immersive technology have a positive, significant impact on online purchase intention. Customer engagement cannot mediate the relationship between artificial intelligence and online purchase intention. However, it does mediate the relationship between immersive technology and online purchase intention. Keywords: Artificial Intelligence; Immersive technology; Customer Engagement; Purchase Intention; e-commerce
Co-Authors Akhsan, Izzat Muhammad Falantana, Alvian Anggi Kisti Nur Aliyah Maharani, Aninda Sabila Priyanto, Intan Indrasara Rizky Kusumawardani Septin Puji Astuti