The geomorphological understanding of earth dynamics, including the relationship between landforms and their processes, was one of the earliest and most specific contributions to disaster prevention. Disaster geomorphology is one of the approaches in disaster studies, which includes aspects of landforms, processes, and results of physical processes that have the potential and can cause disasters. The landform is of risk factors that can turn natural hazards into natural disasters and determines the damage that disasters can cause to human activities. Following the 2006 South Java Tsunami, infrastructural development occurred massively in the 2006 South Java Tsunami inundation areas. Several tsunami risk mitigation efforts were conducted but solely based on the 2006 tsunami scenario and ignored the existence of more considerable tsunami hazards from the Sunda Megathrust. This consideration may lead to an increasing risk of future tsunamis. We evaluate and appraise favorable and unfavorable geomorphological features to reduce the risk of future tsunamis. Pangandaran has a unique landform compared to other areas on the south coast of Java, and this landform has the potential to reduce future tsunami risk. Typical landforms studied include coastal plains, alluvial plains, Tombolo, tied islands, and structural hills. The results show that the morphological features of the Tombolo and the coastal plain area are categorized as high risk when a tsunami occurs. The tied island is categorized as a favorable morphology where these morphological units have the advantage of elevation and efficient distance to the tsunami risk zone. Evacuation facilities are also needed, especially in the coastal plain and Tombolo areas (with a height of >20 meters), to reduce disaster risk, particularly mortality caused by tsunami events.
Penelitian ini bertujuan untuk mengetahui efek rightsizing pada emosi para executor yang menjadi penyampai keputusan pemutusan hubungan kerja (PHK) dalam proses rightsizing. Executor yang dimaksud pada penelitian ini adalah para manajer departemen sumber daya manusia yang bertugas untuk menyampaikan keputusan perusahaan untuk memutus hubungan kerja kepada para karyawan. Penelitian ini menggunakan pendekatan kualitatif. Metode pengumpulan data yang dipakai adalah Critical Incident Technique (CIT), yaitu mengumpulkan berbagai critical incident dari subyek penelitian untuk mendapatkan informasi mengenai fenomena yang diteliti. Data diperoleh dari hasil wawancara semi terstruktur kepada 6 orang manajer sumber daya manusia yang bekerja pada perusahaan manufaktur. Setelah dilakukan eksplorasi hasil wawancara, diketahui bahwa para responden mengaku mengalami beberapa emosi negatif setelah menyampaikan berita pemutusan hubungan kerja kepada para karyawan. Emosi negatif yang dialami yaitu rasa bersalah (guilt), rasa sedih (sad), dan rasa terganggu (annoyed). Emosi negatif yang muncul akibat proses rightsizing terhadap para penyampai keputusan ini harus dihindari dikarenakan jika emosi negatif tersebut berdampak buruk pada kinerja jika tidak segera diatasi. Dampaknya dapat meluas hingga dapat menyebabkan turunnya produktivitas dan rasa tidak aman. Tindakan preventif untuk menghindari emosi negatif ini dapat dilakukan dengan memberikan pengertian sebelumnya seperti membina dan menjelaskan bahwa keputusan yang diambil perusahaan merupakan keputusan yang terbaik
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.