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All Journal International Journal of Scientific and Professional Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Cipto Kurniawan
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing Public Health Other

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Implementasi Teknologi Metaverse Dengan Metode Kualitatif Pada Man Insan Cendekia Oki Cipto Kurniawan; Tata Sutabri
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.462

Abstract

This research aims to explore the application of metaverse technology at MAN Insan Cendekia OKI through a qualitative approach. In an educational context, the metaverse offers an immersive and interactive learning space, allowing students to interact in a virtual environment. Through in-depth interviews and observations, this research identifies the challenges and opportunities faced in the integration of this technology. The findings show that despite barriers in infrastructure and technological understanding, implementing metaverses can increase student engagement and create more engaging learning experiences. Recommendations are provided to improve technical support and training for educators in implementing the metaverse effectively.
Implementation of Greedy Algorithm for National Selection of New Students at MAN Insan Cendekia OKI Cipto Kurniawan; Tata Sutabri
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.79

Abstract

The National Selection of New Learners at MAN Insan Cendekia OKI is a process of selecting the best students based on certain criteria. This selection process requires an efficient method to ensure that the selected participants have qualities that match the school's standards. The Greedy Algorithm is one approach that can be used to solve optimization problems such as learner selection. This algorithm works by taking locally optimal decisions at each stage in the hope of getting an overall optimal solution. This research aims to implement the Greedy algorithm in the Selection of New Learners process at MAN Insan Cendekia OKI. In its application, the Greedy algorithm will be used to select participants based on criteria such as academic scores, non-academic achievements, and other factors deemed relevant by the school. The results of this study show that the Greedy algorithm can be applied well in the selection of students and is able to improve the efficiency of the selection process. However, there are some limitations that need to be considered, especially in terms of dynamic selection criteria and the possibility of non-optimal solutions in certain cases. Thus, the Greedy algorithm provides an interesting alternative in solving selection problems while still considering further development so that the results obtained are more optimal.
Co-Authors Tata Sutabri