Chandro Pardede
Institut Teknologi Del

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Orthology-Based Reconstruction of Parental Gene Inheritance in the Chromosome-Scale PR25 Perennial Rice Genome Martha Britany Napitupulu; Chandro Pardede; Pandapotan Siagian
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 2 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i2.36252

Abstract

Perennial rice integrates a cultivated rice background with genetic elements from wild species; however, the role of parental gene repertoires in hybrid genomes is not fully understood. This study examined the gene repertoires linked to parents and their functional characteristics within the chromosome-scale PR25 perennial rice genome, which originated from Oryza sativa ssp. indica cv. RD23 and Oryza longistaminata. Structural annotations were transferred using Liftoff, followed by phylogenetic orthology analysis using OrthoFinder, and functional annotation using eggNOG-mapper v2 and InterProScan. Of the 37,581 structurally annotated PR25 loci, 33,305 were aligned using the parental orthology framework. Most of these genes (20,204; 60.7%) had identifiable orthologs in both parents (BOTH), whereas 12,808 (38.5%) were categorized as RD23_only and 293 (0.9%) as OL_only. Among the 25,828 genes with consistent functional annotations, RD23_only genes exhibited a higher presence of secretory and membrane-associated features, such as SignalP-TM (4.42%), whereas OL_only genes had a higher presence of defense-related features, including NB-ARC (6.22%) and Ser/Thr kinase domains (2.90%). Functional annotation was unresolved for 5,746 RD23_only genes (44.9%). These results provide a detailed catalog of parent-associated gene repertoires and functions in PR25. The small proportion of OL_only should be interpreted with caution because of the fragmented nature of the O. longistaminata assembly. This catalog serves as a foundation for functional validation and molecular breeding research.
Advancing Diversity in Recommendation Systems Through Collaborative Filtering: A Focus on Media Content Chandro Pardede; Parmonangan R. Togatorop; Permana Gabriel Panjaitan
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1045

Abstract

A recommendation system provides suggestions based on user preferences, interests, or behavior. However, a major challenge is its tendency to generate monotonous recommendations, reducing diversity and limiting new user experiences. Therefore, increasing diversity is essential to enhance user experience and satisfaction while maintaining recommendation accuracy. This research proposes to apply collaborative filtering method, which focuses on item-based filtering using KNN. This method focuses on item similarity using cosine similarity. To enhance diversity, the system filters results based on similarity and rating thresholds. The evaluation results confirm that applying a similarity threshold increases recommendation diversity, as indicated by consistently higher individual diversity values. Clustering further enhances individual diversity. Findings show that the highest individual diversity with clustering reaches 0.5719, compared to 0.5706 without clustering. These improvements suggest potential applications in domains such as e-commerce and music recommendation systems.