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All Journal JURNAL MAHAJANA INFORMASI Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Jurnal Pengabdian Masyarakat Berdampak The Journal of Information Technology, Computer Science, and Electrical Engineering
Mohammad Yusup
Sains Dan Teknologi, Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Human Centered Design-Based Logo Design Strategy to Improve the Visual Identity of MSMEs in Pematang Serai Village Mohammad Yusup; Arpan; Aidil Ahmad
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.200

Abstract

This article examines the crucial role of Human-Centered Design (HCD) in logo development, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Pematang Serai Village. The study highlights the importance of building a strong brand image and explores how HCD principles influence the entire design process—from conceptualization to implementation. The iterative and user-centered nature of HCD ensures continuous refinement of the logo based on real user feedback. This article also discusses visual elements in logo design and their impact on audience perception, recognizing the logo as a significant visual cue in shaping consumer behavior. Furthermore, cultural considerations are emphasized through cross-cultural analysis, underlining the need to adapt logo designs to local contexts—especially relevant for MSMEs in Pematang Serai Village. The findings lead to actionable recommendations for MSMEs, including a user-centered design approach, emphasis on visual appeal, cultural sensitivity, iterative refinement, and strategic logo implementation. This study underscores that applying HCD principles can result in logo designs that are not only visually appealing but also emotionally resonant with the target audience, thereby contributing to sustainable business success.
Dynamic Pricing Model on E-Commerce Products Based on Competitor Sentiment and Price Analysis Using Deep Reinforcement Learning Mohammad Yusup; Winda Erika; Arpan; Abdul Khaliq; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 3 No. 1 (2026): February-May 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v3i1.254

Abstract

Price competition on increasingly competitive e-commerce platforms requires businesses to implement pricing strategies that are adaptive and responsive to market dynamics. Static pricing strategies have proven to be unable to accommodate changes in demand, competitor prices, and consumer perceptions in real-time. This study aims to develop a Dynamic Pricing model based on Deep Reinforcement Learning (DRL) using the Deep Q-Network (DQN) algorithm that integrates the sentiment analysis of consumer reviews with the IndoBERT model and competitor prices obtained through web scraping. The research data was collected from the Tokopedia marketplace in the electronic product category for six months (January-June 2024), including 12,450 product reviews and 3,200 snapshots of competitors' prices from 45 sellers. The fine-tuned IndoBERT model achieved an accuracy of 91.2% and an F1-score of 0.89 in the three-class sentiment classification. The results of the experiment showed that the proposed DQN model increased total revenue by 18.7%, profit margin by 14.3%, and conversion rate by 11.2% compared to the static pricing strategy. This model also outperformed rule-based pricing by 8.1% and Q-Learning tabular by 3.3% in revenue metrics. The Ablation study confirmed that the sentiment feature contributed 6.3 percentage points to the increase in revenue. This study proves that the integration of consumer sentiment signals and competitors' prices within the framework of DRL provides a more optimal and adaptive pricing strategy in the e-commerce environment.
Co-Authors , Arpan , Muhammad Donni Lesmana Siahaan Abdul Khaliq Aidil Ahmad Aidil Ahmad Arpan Arpan Arpan Cindy Cahyani Darmeli Nasution Hardiansyah Putra Mohammad Yusup Muhammad Raihan Rezky Kurniawan Supiyandi Supiyandi Winda Erika Yusup, Mohammad