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PENGARUH MOTIF PENGGUNAAN DAN FITUR LAYANAN APLIKASI HALO BCA TERHADAP KEPUASAN NASABAH Syai Khumayyah; Arizal Putra Pratama; Nidia Sofa; Riskon Ginting
Seminar Nasional Riset Terapan Vol. 13 No. 01 (2024): SNRT XIII TAHUN 2024
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

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This study aims to determine the effect of motives and use of service features on user satisfaction with the application of the “Halo BCA” application. Banking Service Applications such as Halo BCA are one of the innovations made to enable communication between Customer Service and their customers without distance barriers. This study aims to determine the effect of usage motives and service features of the “Halo BCA” application on user satisfaction. This research uses descriptive quantitative research methods, with data collection techniques using survey instruments and questionnaires to BCA customers who have used the “Halo BCA” application. The results of the analysis showed that the majority of respondents were satisfied with the use of the “Halo BCA” application. Factors such as ease of use, speed of information, security, and availability of features are the main factors that contribute to user satisfaction. In addition, technical support and customer service response also have a significant impact on usage motives and user satisfaction. This study provides valuable insights for Bank Central Asia in understanding customer needs and preferences related to the “Halo BCA” application. The implication of these findings is the importance of continuously improving service quality and application features to ensure higher customer satisfaction in the future. Thus, this study makes a significant contribution to understanding the factors that influence customer satisfaction with the use of the “Halo BCA” application on its service features, as well as providing direction for further improvement and development in digital banking services.
Pengaruh Social Media Content Marketing dan Electronic Word Of Mouth pada Aplikasi Tiktok terhadap Keputusan Pembelian Masker Camille Beauty Vienesa Aulia Hermawan; Ratri Kurniasari; Nidia sofa; Riskon Ginting
Seminar Nasional Riset Terapan Vol. 13 No. 01 (2024): SNRT XIII TAHUN 2024
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

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Vienesa Aulia Hermawan_ Analysis Of The Influence Of Social Media Content Marketing And Electronic Word Of Mouth On The Tiktok Application On The Decision To Purchase Camille Beauty Masks, Applied Business Administration Department. Jakarta State Polytechnic. 2024. This Research Analyzes The Influence Of Social Media Content Marketing And Electronic Word Of Mouth On The Tiktok Application On The Decision To Purchase Camille Beauty Masks By Focusing On Followers On Tiktok @Camillebeauty_Official. In This Research, Data Was Collected And Analyzed To Evaluate The Impact Of Social Media Content Marketing And Electronic Word Of Mouth On The Tiktok Application On Purchase Decisions For Camille Beauty Masks. The Results Of The Analysis Show That Social Media Content Marketing And Electronic Word Of Mouth On The Tiktok Application Have A Significant Influence On The Decision To Purchase Camille Beauty Masks.
Peramalan Penjualan Gula Menggunakan Metode Time Series di PT RNI (Persero) Syafira Annisa Putri; Titik Purwinarti; Nidia Sofa
Seminar Nasional Riset Terapan Vol. 14 No. 01 (2025): SNRT XIV TAHUN 2025
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

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This research aims to analyze and develop a sales forecasting model for sugar products at PT Rajawali Nusantara Indonesia (Persero) by applying the time series method to support the company’s strategic decision-making. A quantitative research approach with a descriptive design is utilized, in which secondary data are collected from monthly sales records of sugar products spanning from 2022 to 2024. The analysis begins with the identification of historical patterns through the visualization of time series graphs and autocorrelation testing (ACF) using Minitab software to reveal the underlying trend and seasonal components within the sales data. Three forecasting methods are implemented—Three Moving Average, Double Exponential Smoothing, and Multiplicative Decomposition—and their performance is evaluated using error metrics such as Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Error (MSE). The evaluation results indicate that the Multiplicative Decomposition method provides the best performance, with a MAPE of 44.62%, MAD of 7,327.83, and MSE of 96,813,267.86. Subsequently, the forecasting model is developed as a Microsoft Excel template programmed using VBA to automate sales projections for the next two years. This model is expected to enhance production planning, inventory management, and marketing strategies.
Analisis Pemanfaatan Data dalam Pengambilan Keputusan Strategis pada UMKM Retail Jakarta Selatan Famita Wijayanti; Iis Mariam; Nidia Sofa
Seminar Nasional Riset Terapan Vol. 14 No. 01 (2025): SNRT XIV TAHUN 2025
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

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This study aims to analyze how data utilization supports strategic decision-making processes in retail MSMEs (Micro, Small, and Medium Enterprises) in South Jakarta. The research is driven by the phenomenon of digital transformation, which encourages retail MSME players to become more adaptive in using data to enhance competitiveness amid increasingly intense market competition. A qualitative research method was employed, with data collected through indepth structured interviews with retail MSME owners or managers who have implemented data utilization practices. Thematic analysis was used to interpret the data. The findings indicate that most retail MSME players have started leveraging sales and customer data as the basis for decision-making, including stock planning, promotional strategies, and pricing. Internal factors such as human resource skills, a data-driven culture, and technological readiness, along with external factors like changing consumer behavior and advances in digital technology, influence the effectiveness of data use. The study concludes that data utilization has a positive impact on operational efficiency, customer loyalty, and helps MSME players develop more adaptive and relevant business strategies. The practical implications of this research are expected to serve as a reference for retail MSMEs in optimizing data use to support business sustainability in the digital competition era.