Article Per Year (5 Year)
p-Index From 2021 - 2026
1.168
P-Index
This Author published in this journals
All Journal International Journal for Applied Information Management Jurnal Abdi Masyarakat Indonesia Journal of Digital Market and Digital Currency Journal of Current Research in Blockchain International Journal Research on Metaverse Jurnal Pengabdian Masyarakat Inovasi Indonesia
Pratama, Satrya Fajri
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Public Health Social Sciences

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
User Profiling Based on Financial Transaction Patterns: A Clustering Approach for User Segmentation Pratama, Satrya Fajri; Putri, Nadya Awali
International Journal for Applied Information Management Vol. 4 No. 4 (2024): Regular Issue: December 2024
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v4i4.92

Abstract

User profiling based on financial transaction patterns is crucial for improving customer segmentation and personalizing financial services. This study uses clustering techniques, specifically K-means, to analyze transaction data and segment users based on transaction amounts, times, and types. Three clusters were identified, each demonstrating distinct transaction behaviors: Cluster 0, primarily focused on purchases and occurring early in the week; Cluster 1, which emphasizes transfers and higher transaction amounts, typically occurring mid-week; and Cluster 2, similar to Cluster 0 but with a preference for later-week transactions. The analysis demonstrates that transaction patterns, including amount, time, and type, provide valuable insights for targeting specific user groups with personalized marketing strategies and financial products. The study also highlights the importance of improving clustering accuracy, as indicated by the moderate Silhouette Score of 0.33, suggesting that further refinement in the clustering methodology could lead to more distinct user segments. The findings of this study emphasize the potential for clustering techniques to enhance user profiling, ultimately improving business strategies, customer satisfaction, and loyalty. Limitations of the study, including the dataset’s single-month duration, suggest that further research incorporating larger and more diverse datasets, as well as alternative clustering techniques, could offer deeper insights into user behavior and refine segmentation strategies.
Penguatan Keterampilan Menulis Ilmiah Dosen Universitas Amikom Purwokerto pada Bidang Data Science untuk Publikasi Internasional Hariguna, Taqwa; Sarmini, Sarmini; Wahid, Arif Mu'amar; Pratama, Satrya Fajri; Yi, Ding
Jurnal Abdi Masyarakat Indonesia Vol 5 No 5 (2025): JAMSI - September 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2082

Abstract

Kemampuan menulis ilmiah merupakan keterampilan esensial bagi dosen di bidang data science untuk meningkatkan produktivitas dan kualitas publikasi di jurnal internasional bereputasi.. Permasalahan utama yang dihadapi oleh dosen di Fakultas Ilmu Komputer Universitas Amikom Purwokerto adalah kurangnya keterampilan dalam menulis artikel ilmiah yang memenuhi standar jurnal internasional, yang berdampak pada terbatasnya publikasi mereka. Sebagai solusi, kegiatan pengabdian ini menyelenggarakan pelatihan dan pendampingan penulisan artikel ilmiah dengan tujuan untuk meningkatkan kapasitas dosen dalam menulis secara sistematis dan sesuai standar jurnal internasional. Workshop interaktif yang diadakan diikuti oleh 25 dosen dari empat program studi, dengan sesi teori, praktik langsung, dan peer review. Hasil evaluasi menunjukkan peningkatan signifikan pada kemampuan peserta: aspek struktur penulisan meningkat dari 60% menjadi 80%, bahasa ilmiah dari 58% menjadi 82%, serta pemahaman standar jurnal dari 52% menjadi 76%. Selain itu, 8 peserta berhasil menghasilkan draf artikel yang siap disubmit ke jurnal internasional. Kegiatan ini juga berhasil mendorong terbentuknya komunitas penulis ilmiah yang menjadi langkah awal dalam membangun budaya akademik kolaboratif secara berkelanjutan di Fakultas Ilmu Komputer.
Temporal Patterns in User Conversions: Investigating the Impact of Ad Scheduling in Digital Marketing Pratama, Satrya Fajri; Sugianto, Dwi
Journal of Digital Market and Digital Currency Vol. 1 No. 2 (2024): Regular Issue September
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v1i2.10

Abstract

This study explores the impact of ad scheduling on user conversions by analyzing temporal patterns in user behavior. In the increasingly competitive landscape of digital marketing, optimizing the timing of ad placements is critical for maximizing user engagement and conversion rates. Utilizing a comprehensive dataset from Kaggle, which includes variables such as user ID, ad exposure details, and conversion outcomes, we employed both time series analysis and survival analysis to uncover insights into how different ad scheduling strategies affect conversion rates. The ARIMA model, used for time series analysis, provided reasonable predictive accuracy with a Mean Absolute Error (MAE) of 389.92, Root Mean Squared Error (RMSE) of 463.97, and Mean Absolute Percentage Error (MAPE) of 2.26%. This model effectively identified specific hours and days with higher likelihoods of conversion, particularly during evenings and weekends. On the other hand, the Cox Proportional Hazards model, used for survival analysis, demonstrated superior performance with a concordance index of 0.97, indicating its exceptional ability to predict the timing of user conversions based on various covariates such as the number of ads seen and the specific hours of exposure. The findings suggest that strategic ad scheduling, tailored to align with user temporal behavior, can significantly enhance marketing effectiveness by targeting users during peak conversion periods. These insights offer practical implications for digital marketers aiming to refine their ad delivery strategies to achieve higher conversion rates and improve return on investment.
Analyzing the Determinants of User Satisfaction and Continuous Usage Intention for Digital Banking Platform in Indonesia: A Structural Equation Modeling Approach Pratama, Satrya Fajri
Journal of Digital Market and Digital Currency Vol. 1 No. 3 (2024): Regular Issue December
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v1i3.21

Abstract

This study investigates the factors influencing user satisfaction (US) and continuous usage intention (UI) of the digital banking platform in Indonesia. Utilizing a quantitative research approach, structural equation modeling (SEM) via SmartPLS was employed to analyze data from 376 users. The study integrates key constructs, including Task-Technology Fit (TTF), System Quality (SQ), Performance Expectancy (PE), US, and UI, into a comprehensive model. The findings confirm that TTF, SQ, PE, and US significantly influence UI. Specifically, higher TTF and SQ directly enhance PE (path coefficient = 0.871, t-value = 92.895) and US (path coefficient = 0.798, t-value = 47.957), positively impacting UI. Performance Expectancy emerged as a stronger predictor of UI (path coefficient = 0.559, t-value = 12.800) compared to the US (path coefficient = 0.245, t-value = 5.229), underscoring the critical role of perceived performance benefits in driving continuous usage. All five hypotheses were supported: TTF positively affects UI (path coefficient = 0.250, t-value = 7.154); SQ positively influences PE and US; PE positively impacts UI; and US positively affects UI. The Sobel test results indicated that PE significantly mediates the relationship between SQ and UI (Z = 12.60), and US also significantly mediates this (Z = 5.19). The R-squared values indicate the explanatory power of the model: PE (0.758), UI (0.956), and US (0.637), demonstrating that the model explains a substantial portion of the variance in these constructs. The study contributes to the literature by validating the integrated model, extending existing models such as the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), and highlighting the importance of technical and perceptual factors in technology adoption. Practically, the results offer actionable insights for digital banking providers. Enhancing TTF and maintaining high SQ are crucial for fostering positive user experiences and encouraging continuous usage. Providers should also emphasize the performance benefits of their platforms to improve PE and UI. Despite its contributions, the study has limitations, including sample size and reliance on self-reported data, which may affect generalizability. Future research could expand the sample size, incorporate objective usage data, and explore additional factors such as social influence and facilitating conditions. Overall, the study provides a robust framework for understanding user behavior in digital banking and offers practical strategies for improving user satisfaction and retention in the industry.
Evaluating Blockchain Adoption in Indonesia's Supply Chain Management Sector Pratama, Satrya Fajri; Prastyo, Priyo Agung
Journal of Current Research in Blockchain Vol. 1 No. 3 (2024): Regular Issue December
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jcrb.v1i3.21

Abstract

This research evaluated the adoption of blockchain technology in the supply chain management sector, focusing on the factors that influence the intention to use blockchain, including perceived usefulness, security, facilitating conditions, cost, regulatory support, and trust. Data were collected through a cross-sectional survey distributed to 315 individuals actively involved in supply chain management, of which 309 valid responses were obtained after a validation process that included screening questions such as prior use of blockchain technology. The study employed structural equation modeling (SEM) for data analysis. The findings highlighted that trust played a significant mediating role between perceived usefulness, security, and intention to use blockchain technology. Perceived usefulness and security were found to significantly enhance trust, which in turn positively influenced the intention to adopt blockchain. Regulatory support also had a strong positive impact on adoption intentions, underscoring the importance of clear and supportive regulatory frameworks. Cost was identified as a barrier to adoption, reflecting the need for organizations to address financial concerns associated with blockchain implementation. The results contributed to the theoretical understanding of blockchain adoption by integrating trust as a key mediator in the Technology Acceptance Model and offered practical implications for supply chain management professionals and policymakers.
Analyzing Genre Patterns in Virtual-Themed Animated Films Using Association Rule Mining Pratama, Satrya Fajri; Priyanto, Eko
International Journal Research on Metaverse Vol. 1 No. 3 (2024): Regular Issue December
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v1i3.15

Abstract

This study investigates patterns in virtual-themed animated films using association rule mining to explore the relationships between genre combinations, production companies, and their impact on both popularity and revenue. The dataset consists of films from various genres, with a focus on those exploring virtual worlds, alternate realities, and futuristic settings, aligning with metaverse concepts. The analysis revealed several significant findings. The association rule mining results identified that films combining Fantasy and Science Fiction genres are 1.8 times more likely to achieve high box office revenue, with a confidence level of 80%. Additionally, Pixar adventure films were found to have a 2.1 times higher likelihood of attaining high popularity. Films blending Fantasy and Adventure genres showed a strong correlation with high revenue, with a 70% confidence level and a lift value of 1.9. These patterns suggest that imaginative storytelling and virtual world elements are key drivers of success in animated films. Revenue analysis demonstrated that 30% of the virtual-themed films in the dataset generated more than 1 billion USD, while 50% earned between 0.5 and 1 billion USD. The popularity analysis further highlighted that Fantasy, Science Fiction, and Adventure genres consistently rank highest in audience engagement. These findings underscore the significant commercial potential of films exploring virtual and digital environments, particularly as audience demand for immersive experiences continues to grow. This study concludes that films featuring virtual world themes, particularly those combining Fantasy, Science Fiction, and Adventure genres, are well-positioned to succeed both financially and in terms of audience engagement. As AR, VR, and metaverse technologies advance, the demand for immersive cinematic experiences is likely to increase, offering filmmakers new opportunities to innovate and expand this genre.
Menjaga Data Pribadi Agar Tidak Terjerat Penipuan Pinjaman Online melalui Penyuluhan Interaktif dan Simulasi Keamanan Digital di Desa Binorong Sarmini, Sarmini; Fira, Choly Septa; Pratama, Satrya Fajri
Jurnal Pengabdian Masyarakat Inovasi Indonesia Vol 3 No 4 (2025): JPMII - Agustus 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jpmii.876

Abstract

Perkembangan teknologi finansial, khususnya pinjaman online, memberikan kemudahan akses dana, tetapi juga meningkatkan risiko penipuan dan penyalahgunaan data pribadi. Rendahnya literasi keuangan dan digital membuat masyarakat rentan terhadap ancaman ini. Desa Binorong dipilih sebagai lokasi kegiatan karena tingkat kerentanannya yang tinggi terhadap pinjaman online ilegal, dengan banyak warga yang belum memahami risiko digital. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman masyarakat dalam menjaga data pribadi dan mengenali modus penipuan pinjaman online. Metode yang digunakan meliputi survei awal, penyuluhan interaktif, pelatihan identifikasi penipuan, simulasi keamanan digital, dan evaluasi melalui pre-test dan post-test. Kegiatan yang dilaksanakan pada 10 Agustus 2025 di Desa Binorong ini diikuti oleh 45 peserta dan menunjukkan peningkatan signifikan, dengan rata-rata skor post-test meningkat 60% dibandingkan pre-test. Sebanyak 70% peserta berhasil mengaktifkan autentikasi dua faktor (2FA) pada akun digital mereka, sementara 60% mampu mengenali aplikasi pinjaman ilegal. Selain peningkatan keterampilan teknis, 80% peserta merasa lebih percaya diri dalam mengelola data pribadi dan lebih waspada terhadap ancaman digital. Banyak peserta juga melaporkan perubahan perilaku, seperti lebih sering memeriksa kredibilitas aplikasi pinjaman dan memperketat pengaturan keamanan di akun mereka. Hasil ini menunjukkan bahwa pendekatan edukatif yang terstruktur dapat meningkatkan literasi digital dan keuangan, serta membantu mencegah kerugian finansial akibat penipuan online, dan dapat dijadikan model untuk komunitas lain.
Co-Authors Eko Priyanto Fira, Choly Septa Prastyo, Priyo Agung Putri, Nadya Awali Sarmini Sarmini Sugianto, Dwi Taqwa Hariguna Wahid, Arif Mu'amar Yi, Ding