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All Journal JUPE : Jurnal Pendidikan Mandala Jurnal Kridatama Sains dan Teknologi
Angul, Angelina
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Social Sciences

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Artificial Intelligence as an Innovative Solution in the World of Education Angul, Angelina; Sogen, Maria Magdalena Beatrice; Boko, Heddy Mamida Yosefa; Belo, Ivonia Nazario Alves
JUPE : Jurnal Pendidikan Mandala Vol 10, No 2 (2025): JUPE : Jurnal Pendidikan Mandala (Juni)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jupe.v10i2.8820

Abstract

 The rapid advancement of digital technology has led to significant changes in the education sector, increasing the demand for responsive and efficient educational systems. Artificial Intelligence (AI) has emerged as an innovative alternative capable of enhancing effectiveness, personalization, and accessibility in learning. This article reviews the use of AI in education, including adaptive learning systems, educational chatbots, and virtual tutors, which create a more interactive learning experience tailored to the individual needs of each student. While AI offers numerous benefits, such as improved access to education in remote areas, issues related to ethics, data privacy, and infrastructure readiness must also be addressed. Utilizing a literature review method, this article connects the latest theories and practices regarding the implementation of AI in education and provides recommendations for efficient integration. Research findings indicate that AI has remarkable potential to transform education, fostering a more adaptive and responsive learning environment and preparing future generations to face the challenges of the times.Keywords: Artificial Intelligence (AI), Adaptive Learning Systems, Personalized Learning 
Implementasi Algoritma Dijkstra dan Greedy dalam Penyelesaian Masalah Rute Terpendek Angul, Angelina; Fallo, Diana; Tanggo, Karolina Viviliana; Belo, Ivonia Nazario Alves; Hoar, Fenesia
Jurnal Kridatama Sains dan Teknologi Vol 7 No 01 (2025): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v7i01.1654

Abstract

The shortest route problem is a classic topic in graph theory that has many applications in everyday life, such as in navigation systems, logistics distribution, and network management. Two algorithms that are often used are the Algorithm and the Greedy Algorithm. The Algorithm can find the shortest path with maximum results, but it has a fairly high time complexity, making it less effective for situations that require speed. On the other hand, the Greedy Algorithm can provide solutions quickly, but does not always produce the ideal shortest path. This study uses a systematic literature review (SLR) approach to scientific publications in 2020-2025, which aims to analyze and compare the performance of the two algorithms in depth. The results of the analysis show that the Algorithm is more appropriate for situations that prioritize optimal solutions, while the Greedy Algorithm is better at decisions that require speed. This study not only provides theoretical analysis, but also discusses its practical applications in the transportation, logistics, and network sectors, and aims to provide insight into the development of more efficient and effective systems in the future
Co-Authors Belo, Ivonia Nazario Alves Boko, Heddy Mamida Yosefa Fallo, Diana Hoar, Fenesia Sogen, Maria Magdalena Beatrice Tanggo, Karolina Viviliana