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All Journal Ensiklopedia Education Review Jurnal Mantik Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Jurnal Darma Agung Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) International Journal of Economic, Technology and Social Sciences (Injects) Jurnal Pengabdian Masyarakat Berdampak The Journal of Information Technology, Computer Science, and Electrical Engineering
, Arpan
Faculty Of Science And Technology Universitas Pembangunan Panca Budi, Medan , Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Understanding the Impact of Chatbot Technology in Learning: Analysis of Utilization at SMA Negeri 5 Binjai Mohammad Yusup; Arpan; Rezky Kurniawan
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 1 (2024): February-May 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i1.8

Abstract

This research aims to comprehend the impact of chatbot technology on learning, with a specific focus on analyzing its utilization at SMA Negeri 5 Binjai. Employing both qualitative and quantitative approaches, this study explores the implementation of chatbots in an educational context, including their applications in language learning, mental health support, and the teaching process. A comprehensive literature review was conducted to identify potential benefits and challenges associated with chatbot implementation in schools. The analysis results highlight the evolution of chatbot roles, ranging from basic functionalities to sophisticated capabilities in supporting the learning process. The research also encompasses a chatbot development model presented by Author and the findings from action research, providing practical insights into the use of chatbots in online learning media. Through surveys, interviews, and observations, research participants were engaged to provide a comprehensive perspective on the impact and acceptance of chatbot technology in the educational environment of SMA Negeri 5 Binjai. The outcomes of this research are anticipated to offer in-depth insights into how chatbots influence the learning process and lay the foundation for developing more effective strategies for chatbot utilization in educational institutions. The conclusions and recommendations from this study may assist policymakers, educators, and researchers in understanding the role of chatbots in enhancing the learning experience at SMA Negeri 5 Binjai and similar educational contexts.
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.
Analysis and Design of Web-Based Vehicle Management Information Systems to Support Operational Efficiency Abdul Khaliq; Ruly Dwi Arista; Arpan
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 2 (2025): June-September 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i2.208

Abstract

Operational efficiency is a top priority for organizations, with effective vehicle management being a crucial component. This research analyzes and designs a web-based Vehicle Management Information System aimed at optimizing vehicle utilization, reducing operational costs, and enhancing accountability. Addressing the problem of error-prone manual fiscal depreciation calculations, this system is designed to automate the process, ensuring greater accuracy and traceability. System analysis is conducted through visual modeling using the Unified Modeling Language (UML). The Activity Diagram maps the workflow of various user roles (Administrator, Operational Staff, Manager) in managing vehicle data, inputting usage and costs, and scheduling services. The Sequence Diagram further details the message interactions between system components (users, system, database) for each core functionality. Meanwhile, the Class Diagram presents the static structure of the system, defining key entities such as User, Vehicle, OperationalCost, Usage, Depreciation, and ServiceSchedule, along with their attributes and relationships. This system is designed for implementation using web-based frameworks like Laravel or CodeIgniter, adhering to the Model-View-Controller (MVC) architecture. This approach is chosen to ensure modularity, ease of maintenance, and enhanced system security. Consequently, the proposed system is expected to provide accurate and timely information, significantly supporting operational efficiency in the management of organizational vehicle assets.
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 , Muhammad Donni Lesmana Siahaan Abdul Khaliq Ade Putra Aidil Ahmad Alvian Alvian Arief Fadillah Boy Rizky Akbar Cindy Cahyani Darmeli Nasution David Nico L Nainggolan DWI SURYANTO Eko Hariyanto Eko Haryanto Eko Haryanto Fajri Razak Febby Sittah Gunawan Khairun Annisa Mohammad Faiza Zachary Mohammad Yusup Muhammad Iqbal Muhammad Syahputra Novelan Prayogo Selamat Sholihin Rezky Kurniawan Rifq Surya Pradhana Rifqi Surya Pradhana Rizky Trianda Roby Alfian Ruly Dwi Arista Sitorus, Zulham Syaifuddin Luqman Hakim Syaufi Arbin Utomo, Budi Winda Erika Yudistira Aulia Masli Ziddo Simanjuntak Zulfahmi Syahputra