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All Journal Electronic Integrated Computer Algorithm Journal Jurnal Pengabdian Bakti Akademisi
Fansyah, Egi Al
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

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Workshop The Artificial Intelligence in the Era of Flat Earth Hoaxes 2.0 Lubis, Muharman; Fansyah, Egi Al
Jurnal Pengabdian Bakti Akademisi Vol 2, No 4 (2025): Jurnal Pengabdian Bakti Akademisi
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpba.v2i4.49770

Abstract

The rapid development of Artificial Intelligence (AI) has transformed the way humans produce and disseminate information. On one hand, AI expands access to knowledge; on the other, it amplifies the spread of hoaxes and disinformation, blurring the line between fact and fabrication. This paradox became the central theme of the community service event titled Workshop on The Artificial Intelligence in the Era of Flat Earth Hoaxes 2.0,which explored AIs dual role as both a creator and a countermeasure of digital hoaxes.This activity adopted a service-learning approach, engaging 70 participants consisting of university students and educators through interactive discussions, case analyses,and pre-test and post-test evaluations. The results indicated an average improvement of 6.5% across three key dimensions of information literacy: hoax literacy, AI literacy, and information ethics literacy, with the highest increase observed in the ethical dimension. These findings affirm that exposure to ethical frameworks and critical reflection can foster moral awareness and a sense of responsibility among participants in their interactionswithin digital spaces.Overall, this activity underscores the importance of integrating AI ethics literacy into public education to strengthen societys resilience against digital manipulation. This initiative supports the achievement of SDG 4 (Quality Education), SDG 9 (Industry, Innovation, andInfrastructure), and SDG 16 (Peace, Justice, and Strong Institutions) through the enhancement of digital literacy, information ethics, and responsible communication in theera of artificial intelligence.
Implementing Collaborative Filtering for E-Commerce Product Personalization Using a Rapid Application Development Approach Giawa, Mullah Cadre; Fansyah, Egi Al; Alsyah, Dwi fahira; Nusantara, Abdul Hakim Satria; Thamrin, Daffa Shidqi; Fauzan, Ratandi Ahmad
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.145

Abstract

The rapid expansion of e-commerce has increased the difficulty of guiding users toward relevant products, particularly as catalogs grow and user preferences become more diverse. This paper presents an end-to-end implementation of a personalized product recommendation feature using a memory-based collaborative filtering approach integrated into an e-commerce platform. Development followed a Rapid Application Development (RAD) workflow, enabling iterative prototyping, integration, and testing of the recommendation module within the operational system. Recommendations were generated using a K-Nearest Neighbors method with cosine-based similarity to identify related items from user interaction histories and to produce Top-N product suggestions in the storefront interface. Model evaluation employed a transactional dataset commonly used for recommender experiments, which was refined from 541,909 records (8 attributes) to 406,829 interaction-focused records (CustomerID, Description, Quantity). Performance was assessed using MAE, RMSE, and F1-score, yielding values of 0.6, 0.8, and 0.6, respectively. The results indicate that collaborative filtering can provide moderately accurate and relevant recommendations when interaction history is available, while also exposing practical limitations for users with limited transactions, reflecting a cold-start constraint. These findings suggest that RAD-supported integration of collaborative filtering is feasible for e-commerce personalization and provides a baseline for further enhancement.
Development of a Web-Based eChecklist System for Final Product Inspection in a Coachbuilding Company Fatahillah, Gehan Gibran; Fansyah, Egi Al; Asyam, Muhammad Rizq Dzaki; Alsyah, Dwi Fahira; Nusantara, Abdul Hakim Satria; Saleh, Rayhan Zahwan
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.146

Abstract

This final project develops a web-based eChecklist system to support the final product inspection process in a coachbuilding company. The system is designed to replace manual checklist recording, which is often inefficient, prone to human error, difficult to track, and lacks real-time accessibility. The objective of this project is to improve the consistency and accuracy of inspection records, streamline communication among inspectors, supervisors, and administrators, and provide reliable documentation for each inspected unit. The system was developed using PHP with the Laravel framework and implemented using the Rapid Application Development (RAD) method. The main features include user authentication, role-based access control, digital checklist input, checklist validation, inspection history tracking, and report export. Testing was conducted on core functionalities such as login, role-based access, checklist submission, validation, status tracking, user and role management, and report generation. The results show that all tested functionalities worked properly and achieved the expected outcomes. It can be concluded that the web-based eChecklist system is able to support final inspection activities more effectively, improve data traceability, and enhance operational reliability in the coachbuilding quality control process.
Co-Authors Alsyah, Dwi fahira Asyam, Muhammad Rizq Dzaki Fatahillah, Gehan Gibran Fauzan, Ratandi Ahmad Giawa, Mullah Cadre Muharman Lubis Nusantara, Abdul Hakim Satria Saleh, Rayhan Zahwan Thamrin, Daffa Shidqi