Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence Research JEPEmas: Jurnal Pengabdian Masyarakat (Bidang Ekonomi)
Rosita, Ella
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Seminar UMKM Go Export Bersama Bank Sumsel Babel 2025 Rahman, M Arief; Handayani, Ade Silvia; Harlasyanti, Dewi Ekha; Rosita, Ella; Sehatiningsih, Ambar
JEPEmas: Jurnal Pengabdian Masyarakat (Bidang Ekonomi) Vol 4 No 1 (2025): April 2025
Publisher : UP2MF Fakultas Ekonomi dan Bisnis, Universitas Sains Al-Qur'an (UNSIQ) Jawa Tengah di Wonosobo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Micro, Small, and Medium Enterprises (MSMEs) hold a strategic role in the national economy but continue to face challenges in accessing international markets, securing funding, managing legal compliance, and understanding export procedures. The UMKM Go Export Seminar with Bank Sumsel Babel 2025 was conducted to strengthen the capacity of MSME actors to penetrate the global market, featuring speaker Dewi Ekha Harlasyanti, S.H. This activity aimed to provide knowledge on export strategies for local products, optimization of digital marketing, legal business management, and appropriate product packaging for export standards. The seminar was conducted using a descriptive qualitative observational method through discussion sessions, material presentations, and participant satisfaction evaluations. The target audience consisted of MSMEs in the South Sumatra, focusing on improving product competitiveness for export purposes. The seminar resulted in increased understanding among participants regarding small-scale export opportunities, flexible payment systems, strategies for finding international buyers through social media, and the importance of mastering product specifications. The involvement of Bank Sumsel Babel in offering financial support further facilitated better access to capital for MSMEs. This activity contributed to improving the readiness of local MSMEs to initiate the export process progressively, thereby enhancing the region’s product contribution to global trade.
Personalized Product Recommendations Using Restricted Boltzmann Machines To Overcome Cold-Start Challenges On A Niche Coffee E-Commerce Platform Hesti, Emilia; Handayani, Ade Silvia; Suzanzefi, Suzanzefi; Agung, Muhammad Zakuan; Rosita, Ella; Asriyadi, Asriyadi; Kaila, Afifah Syifah; Afifah, Luthfia; Ardiansyah, M.
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1551

Abstract

This paper examines the use of a Restricted Boltzmann Machine (RBM) to provide personalized product recommendations on a niche coffee e-commerce platform facing cold-start conditions. We train RBM variants on a binary transaction matrix derived from 100 simulated user transactions and evaluate four hidden-unit configurations (3, 5, 10, 15) using 5-fold cross-validation. Models were trained with Contrastive Divergence (CD-1) and assessed primarily by Mean Squared Error (MSE) for reconstruction fidelity, complemented by ranking metrics (Precision@3, NDCG@3). The 10-hidden-unit configuration achieved the best balance of reconstruction and ranking performance, with an average test MSE ? 0.0454, outperforming popular-item (MSE: 0.0802) and random (MSE: 0.0760) baselines. While the RBM demonstrates strong capability in modeling latent user preferences under sparse data, ranking metrics expose limitations when predicting exact top-N items in extremely sparse cases. The study highlights practical implications for early-stage niche marketplaces and suggests integrating content signals or hybridization to further improve top-N recommendation quality.
Co-Authors Ade Silvia Handayani Afifah, Luthfia Agung, Muhammad Zakuan Asriyadi Asriyadi Emilia Hesti Harlasyanti, Dewi Ekha Kaila, Afifah Syifah M. Ardiansyah Rahman, M Arief Sehatiningsih, Ambar suzan zefi