Aprilia Eka Putri
Jurusan Budidaya Pertanian, Fakultas Pertanian, Universitas Lampung Jl. Sumantri Brojonegoro No. 1 Bandar Lampung

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KORELASI, KERAGAMAN GENETIK, DAN HERITABILITAS KARAKTER AGRONOMI KACANG PANJANG POPULASI F3 KETURUNAN PERSILANGAN TESTA HITAM X LURIK Nyimas Sa’diyah; Tjipto Roso Basoeki; Aprilia Eka Putri; Devi Maretha; Setyo Dwi Utomo
JURNAL AGROTROPIKA Vol 14, No 1 (2009): Jurnal Agrotropika V14 No 1 2009
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (156.875 KB) | DOI: 10.23960/ja.v14i1.4229

Abstract

The objective of this study was to estimate correlation, variances, and heritability of agronomic characters of yardlong-bean F3 population derived from crosses between black and striped-black testa. An F3 population consisted 90 plants along with the two parents (20 plants per parent) were planted in unreplicated trial in Hajimena, Rajabasa, Bandar Lampung in 2008. Variables observed included flowering date, fresh-harvesting date, harvesting date, the number of flower stalks per plants,the number of pod per plant, the average number of locules per pod, the total number of seeds per plant, and the weight of 100 seeds. The results indicated that the estimate of genotypic and phenotypic variances and broad-sense heritability were high for all variables observed. The estimates were significant for the correlation between dry-seed weight per plant and the following variables: number of flower stalks per plant, number of pods per plant, the average number of loculs per pod, and the number of seeds per plants. Based on consumer demand and solid fresh peas can be obtained on the genotypes of the number 6, 7, 9, 11, 14, 19, 22, 28, 66, and 67. There are no pods which exceeds 50 cm in length.Keywords: correlation, heritability, variances, Vigna sinensis, yard-long beans
Peran Metadata Management dalam Meningkatkan Kualitas Data Efesiensi Pengambilan Keputusan Aprilia Eka Putri; Muhammad Irwan Padli Nasution
Jurnal Manajemen Bisnis Digital Terkini Vol. 2 No. 3 (2025): Juli : Jurnal Manajemen Bisnis Digital Terkini
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumbidter.v2i3.599

Abstract

In the era of digital transformation, organizations face the huge challenge of managing data that is constantly increasing in volume, variety, and speed. Metadata, as "data about data," plays an important role in providing context and structure to data, thus supporting the quality and effectiveness of its use. This article examines the role of metadata management in improving data quality and decision-making efficiency. Using a descriptive qualitative approach through literature analysis and case studies, the results of the study show that metadata management contributes to improving the accuracy, consistency, completeness, and timeliness of data. Good metadata implementation also speeds up data retrieval, minimizes misinterpretation, and supports the automation of the analytics process. In addition to the technical benefits, this article also discusses strategic aspects, such as the integration of metadata in data governance and the challenges of technology adoption. In the context of modern organizations, metadata management is not just a technical necessity, but part of an ongoing data governance strategy. Therefore, this article provides conceptual and practical insights for professionals and policymakers in building reliable and data-based information systems.