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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) QISTINA: Jurnal Multidisiplin Indonesia
Rifki Fali
Universitas Negeri Medan
Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing

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Literature Review: Transitioning usage from BFS and DFS to Heuristic Search in the Modern AI Era Fahmy Syahputra; Elsa Sabrina; M Fajar Sahendra Chan; Rifki Fali; Muhammad Fattah; Joko Hendratmo; Fadhil Ardiansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1856

Abstract

Uninformed search algorithms, specifically Breadth-First Search (BFS) and Depth-First Search (DFS), encounter significant scalability limitations when addressing complex problem spaces in modern Artificial Intelligence (AI) ecosystems. This study investigates the paradigm shift toward intelligent heuristic algorithms through a systematic literature review and comparative analysis of 24 recent academic sources. The evaluation focuses on three primary domains: logical problem solving, robotic navigation, and data infrastructure management. Results demonstrate that heuristic methods, such as A-Star and hybrid variants like PrunedBFS, offer superior time efficiency and memory optimization for autonomous navigation and massive computing tasks. Nevertheless, classic algorithms retain functional relevance for specific scenarios requiring exhaustive exploration. Furthermore, this study reveals that algorithmic evolution has fundamentally transformed digital infrastructure, driving a shift from Search Engine Optimization (SEO) to Answer Engine Optimization (AEO) and necessitating adaptive cybersecurity architectures. The research concludes that the future of AI development relies not on substitution, but on a collaborative synthesis integrating the robustness of classic methods with the adaptability of modern heuristics.
Design of Desktop-Based Student Learning Style and Personality Quiz Application with Microsoft Visual Basic Net 8.0 Fahmy Syahputra; Tansa Trisna Astono Putri; Rifki Fali; Laili Tanzila; Matius Irvan Sarumaha; Frans Pratamarifai Doya Zai
QISTINA: Jurnal Multidisiplin Indonesia Vol. 3 No. 2 (2024): December 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v3i2.4222

Abstract

In education, learning style and personality play an important role because they influence how individuals perceive and absorb information. Educators can build more inclusive and successful learning environments by implementing strategies to accommodate a variety of learning styles and personalities. The learning style and personality quiz application was created with Microsoft Visual Basic 8.0. The purpose of this application is to find out the learning style and personality of students. By knowing their learning style and personality, students can understand themselves and make it easier to choose the learning method to use. The method used in designing this application is the waterfall method. The method begins with the analysis, design, coding, testing and maintenance stages. The learning style and personality quiz application has been tested on several students of the Information Technology and Computer Education Study Program, Medan State University for three weeks, the results show that the learning style and personality quiz application can help in selecting effective learning methods and understanding one's own character.
Co-Authors Elsa Sabrina Fadhil Ardiansyah Frans Pratamarifai Doya Zai Joko Hendratmo Laili Tanzila M Fajar Sahendra Chan Matius Irvan Sarumaha Muhammad Fattah Putri, Tansa Trisna Astono Syahputra, Fahmy