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The Effect of the Impact of Digital Transformation Strategy on Financial Performance Moderated by Cognitive Conflict in Partner Companies of PT. Erdiva Daya Technology Solutions Setiawan, Taufik; Widhianto, Chandra Wibowo
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 3 No. 9 (2024): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v3i9.236

Abstract

This study aims to verify whether digital transformation strategy (DTS) enhances organizational performance and to analyze the necessity of implementing DTS, considering perspectives like "Skewed conflict," "minority dissent theory," and the "too-much-of-a-good-thing" principle. This research uses a quantitative method with a descriptive and explanatory survey approach to examine the cause-and-effect relationship between variables. The research concludes that DTS significantly influences both short-term and long-term financial performance, providing insights into how cognitive conflict influences DTS effectiveness and highlighting the need for enterprises to manage such conflicts to maximize financial performance.
The Habitat Suitability Modelling of Rhinoceros Hornbills (Buceros rhinoceros) in Java Island, Indonesia Setiawan, Taufik; Prasetyo, Lilik Budi; Mulyani, Yeni A.; Jarulis
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 2 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.2.253

Abstract

Rhinoceros hornbills (Buceros rhinoceros) are a bird species belonging to the Bucerotidae family, which is vulnerable based on the IUCN red list of species. This is due to habitat fragmentation, which reduced the Rhinoceros hornbill habitat on Java. Efforts and strategies are needed to maintain Rhinoceros hornbill habitats. Information on the suitability of the Rhinoceros hornbill habitat on Java Island is required to develop a Rhinoceros hornbill conservation strategy. This study aimed to determine a habitat suitability model that produces the highest accuracy, analyze hornbill habitat suitability, and identify environmental variables that affect the existence of rhinoceros hornbills. Habitat suitability models were processed using three algorithms: random forest, support vector regression, and MaxEnt. The data used to model habitat suitability were presence and environmental variables. The model was evaluated using various accuracy measures, namely overall accuracy, sensitivity (sn), specificity (sp), Area Under Curve (AUC), and kappa coefficient. The resultsof model processing showed that the random forest algorithm produced the highest average accuracy of 0.74. The most important environmental variables for the habitat suitability model were the distance from the road (16.62%), distance from the forest (12.73%), and land cover (12.47%). The habitat suitability model was divided into three classes: low suitability, covering 75,048 km2 (55.94%); medium suitability, covering 52,911 km2 (39.44%); and high suitability, covering 6,213 km2 (4.63%). The results of the habitat suitability model showed that the habitat suitability class was the smallest in the area.