Article Per Year (5 Year)
p-Index From 2021 - 2026
1.745
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Sistemasi: Jurnal Sistem Informasi JURIKOM (Jurnal Riset Komputer) ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Soft Computing Exploration Transekonomika : Akuntansi, Bisnis dan Keuangan Jurnal Pengabdian Masyarakat IPTEK J-Intech (Journal of Information and Technology) Journal of Digital Business and Innovation Management Indonesian Journal of Humanities and Social Sciences
Renny Sari Dewi
Institut Teknologi Sepuluh Nopember
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Evaluasi Model Faktor Laten dalam Kondisi Kelangkaan Data: Studi Kasus Rendahnya Pembelian Ulang pada E-Commerce Rosmalia, Tria Rizky; Dhenabayu, Riska; Fazlurrahman, Hujjatullah; Dewi, Renny Sari
JOM Vol 6 No 4 (2025): Indonesian Journal of Humanities and Social Sciences , December
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ijhass.v6i4.8431

Abstract

The accuracy of recommendation systems is vital for successful personalization in e-commerce. However, the low frequency of repeat purchases creates hight data sparsity, limiting models in capturing user preferences. This study compares two latent factor-based algorithms. Matrix Factorization (MF) and Neural Matrix Factorization (NeuMF), using the Olist transaction dataset through data preparation, k-core filtering, and leave last out splitting. Performance was evaluated using HR@10 and NDCG@10. Results show that MF outperforms NeuMF, achieving HR@10 of 0,057 and NDCG@10 of 0,133. Although NeuMD is more complex and represents a deeper learning-based approach, MF can still be more suitable in certain data conditions, especially when interaction are limited. These findings highlight that simpler models may remain more efficient under sparse data, while NeuMF requires richer interactions histories. The study emphasizes repeat purchase frequency as a key factor in designing adaptive reommendations systems.
The Effect of Innovation and Digital Capital Adoption on MSME Performance Mediated by Competitive Advantage Ramadhan, Mochammad Havid Rizqi; Kautsar, Achmad; Dewi, Renny Sari; Fazlurrahman, Hujjatullah
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 5 No. 6 (2025): November 2025
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v5i6.1120

Abstract

Amid the accelerated advancement of digital technologies and the intensification of market rivalry, continuous enhancement of business performance among MSMEs has become imperative through innovation and digital transformation initiatives. Nevertheless, empirical investigations examining the contribution of digital capital adoption and innovation to MSME performance, particularly when competitive advantage functions as an intervening mechanism, remain relatively scarce, especially within regional MSME settings. This study is conducted to investigate the influence of innovation and digital capital adoption on MSME performance, with competitive advantage positioned as a mediating construct. A quantitative research design is employed, utilizing survey responses obtained from 90 MSME proprietors in Probolinggo Regency. The data that were gathered are processed and evaluated through PLS-SEM to assess both direct and indirect causal pathways among the examined variables. The results reveal that innovation is found to exert a significant positive effect on competitive advantage, which in turn is shown to significantly enhance MSME performance. On the other hand, there is no evidence that innovation directly affects the performance of MSMEs. However, adopting digital capital has been shown to have a big and positive effect on performance results. Moreover, the linkage between innovation and MSME performance is fully mediated by competitive advantage. These results suggest that innovation enhances MSME performance only when it is transformed into competitive advantage, whereas digital capital adoption directly contributes to performance improvement. Therefore, for MSME practitioners, strengthening innovation strategies oriented toward competitive differentiation and expanding the effective use of digital capital are essential to improve business performance.
Integration of WhatsApp Business API and Artificial Intelligence in a Assisted-Automated Letter Generation System for Village Governance Priambodo, Gumilang; Dewi, Renny Sari; Candra, Ika Diyah; Dhenabayu, Riska
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.876

Abstract

Conventional rural administration in Indonesia faces manual clerical bottlenecks, while existing digital solutions often fail due to the digital divide and an inability to process unstructured local dialects. To address these challenges, this study designed and evaluated an Intelligent Robotic Process Automation (IRPA) prototype for fully autonomous village correspondence, specifically handling seven distinct types of official letters. Utilizing the Design Science Research Methodology (DSRM), the proposed architecture integrates the WhatsApp Business API as an inclusive conversational interface, Google Gemini for cognitive intent classification, and the n8n low-code platform for cloud-based document orchestration. Functional evaluation using 20 test prompts, which represent real-world informal language, abbreviations, and typographical errors, demonstrated that the cognitive agent achieved 100% accuracy in intent recognition and boundary detection. Furthermore, the system significantly reduced administrative Turnaround Time (TAT) by approximately 77.5%, effectively transforming manual processes of 15 to 25 minutes into a 3 to 6 minutes automated cycle. Ultimately, this research offers three main contributions: an asynchronous architecture to lower user cognitive load, a deterministic prompt engineering method for public services, and empirical evidence of RPA efficiency in inclusive rural governance.
Co-Authors Amaliyah, Putri Anindra, Nisya Kayla Putri Arifah, Ika Diyah Candra Astiarasanti, Amelia Hayyu Baqi, Achmad Dzikrul Candra, Ika Diyah Damayanti, Yeni Rosa Darmawan, Rafli Dwipa, Elfara Fraksi Ermawati, Juliana Fahmi, Fiqih Zulfikar Fazlurrahman, Hujjatullah Fresha Kharisma Huanggino, Sherissa Callista Jayadi, Puguh Kautsar, Achmad Kawakib, Afif Nurul Lestiani, Dwi Indah Maulidina, Rahma Muthoharoh, Imroatul Nugraini, Dian Priambodo, Gumilang Purnama, Dicka Widya Puspitasari, Reinindhi Putri, Ella Rosediana Ramadhan, Mochammad Havid Rizqi Reihan, Givvara Rijal, Demas Muhammad Riska Dhenabayu Rizki, Nur Anisa Rochman, Candra Bagus Ainur Rosmalia, Tria Rizky Sayekti, Widya Sugiono, Adinda Ayu Putri Sussolaikah, Kelik Syirfa, Atika Naylatan Wijaya, Anne Ivena Yarbo, Aqeela Istighfarin Zahidin, Archam