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All Journal Media Statistika Journal of Social Research VISA: Journal of Vision and Ideas
Fitrianti, Dwi
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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The Influence of Brand Image, Product Innovation, and Social Media Marketing Activity on Repurchase Decision Through Customer Satisfaction as An Intervening Variable at Mixue In Bojonegoro Fitrianti, Dwi; Halik, Abdul; Budiarti, Endah
Journal of Social Research Vol. 4 No. 2 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i2.2414

Abstract

The development of the food & beverage (F&B) industry in Indonesia is currently growing very rapidly. Changes in people's lifestyles, especially in big cities, who like fast food and drinks, coupled with the passive use of digital platforms which have a transformative impact on digitalization provide opportunities for F&B businesses to promote their products to internet users. This research aims to find out empirical evidence regarding the influence of brand image, product innovation, social media marketing activity, on repurchase decisions and customer satisfaction. The population in this research are customers who have made purchases at Mixue Bojonegoro. The sampling technique is a purposive sampling technique which is randomly selected from customers who have made purchases at Mixue Bojonegoro, namely 100 respondents. Hypothesis testing was carried out using a Structural Equation Model (SEM) approach based on Partial Least Square (PLS). Based on the results of the analysis of the 7 hypotheses analyzed, all were proven to be accepted, namely brand image, product innovation, and social media marketing activity had a significant effect on repurchase decisions and customer satisfaction. This research provides insight for companies in designing effective marketing strategies to increase customer loyalty through improving brand image, product innovation and marketing activities on social media.
COMPARATIVE EVALUATION OF ARIMA AND GRU MODELS IN PREDICTING RUPIAH DOLLAR EXCHANGE RATE Fitrianti, Dwi; Ulfia, Ratu Risha; Notodiputro, Khairil Anwar; Angraini, Yenni; Mualifah, Laily Nissa Atul
MEDIA STATISTIKA Vol 18, No 1 (2025): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.18.1.1-12

Abstract

This study evaluates the effectiveness of the ARIMA (Autoregressive Integrated Moving Average) and GRU (Gated Recurrent Unit) models in forecasting the USD–Rupiah exchange rate. Exchange rate fluctuations influence overall economic stability, making accurate forecasting crucial. Monthly data from January 2001 to March 2024 were analyzed. The ARIMA model, a traditional statistical approach, combines autoregressive (AR), differencing (I), and moving average (MA) components to capture linear patterns, while the GRU model, a deep learning approach, captures nonlinear and complex temporal relationships using update and reset gate mechanisms to retain long-term information. Model performance was evaluated using the Mean Absolute Percentage Error (MAPE). The GRU model achieved a MAPE of 1.74%, lower than the ARIMA model’s 1.94%, and generated a forecast of Rp. 16,399.91 for April 2024, closer to the actual value of Rp. 16,249.00 compared to ARIMA’s Rp. 15,857.68. The findings demonstrate the GRU model’s superior forecasting performance and provide empirical evidence of its effectiveness in modeling volatile exchange rate data, particularly the Rupiah–USD rate.
Analisis Bibliometrik Penelitian Pinjaman Online: Tren, Tema, dan Kontribusi Ilmiah Dari 2019 Hingga 2023 Fitrianti, Dwi; Wahyuni, Titin; Amelia, Azarine Nahdah; Octavia, Winda Dwi; Riyadi, Slamet; Pandin, Maria Yovita R.
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.3627

Abstract

The aim of this study is to analyze the research topics of online lending along with the trends, themes and contributions used. The output of this study is to find other topics that can be used as research variables in the future. The research method used is a literature review using bibliometric analysis extraction through the Publish or Perish application with the Google Scholar database. After narrowing down the research results to journal articles specifically on online lending, 122 articles were obtained from 200 initial search results.The research results were then compiled through the Mendeley application and visualized through the VOSviewer application to see research trends.The results showed that the classification of online lending topics was divided into four clusters centered on fintech lending, p2p lending, consumer protection and pandemic. This research is limited by the lack of diversity in the research topics examined and the software used.
Co-Authors Abdul Halik Amelia, Azarine Nahdah Endah Budiarti Mualifah, Laily Nissa Atul Octavia, Winda Dwi Pandin, Maria Yovita R. Slamet Riyadi Ulfia, Ratu Risha Wahyuni, Titin Yenni Angraini