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Estimasi dan Komunikasi Data Penduduk Umur Sekolah Berdasarkan Proyeksi Penduduk Indonesia 2020-2050 Hasil Sensus Penduduk 2020 Prasojo, Ari Purwanto Sarwo
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2021

Abstract

Education inequality is a challenge in human development in Indonesia. Providing and communicating data on school-age population projections is important to achieve equitable quality education. This article estimates the school-age population based on Indonesia’s 2020-2050 population projections from the 2020 Population Census (SP2020) and develops an open-source interactive visualization application in the form of the R library “estPUSek” to explore these dynamics in 34 provinces. The estimation used the Sprague method, which proved accurate based on testing with Long Form Population Census 2020 (LF SP2020) data. The "estPUSek" application provides visualisations in the form of heat map plots, maps, dynamic tables, and time series plots, allowing for interprovincial and intertemporal analysis. This application is designed to facilitate discussions on the future dynamics of the school-age population, which is expected to support the development of better education programs.
Making Virtual Reality (VR)/Augmented Reality (AR) Possible to Strengthen Disaster Risk Reduction among Communities at Risk of Tsunami Surtiari, Gusti Ayu Ketut; Dalimunthe, Syarifah Aini; Reksa, Abdul Fikri Angga; Pelupessy, Dicky; Prasojo, Ari Purwanto Sarwo; Jibiki, Yasuhito; Arikawa, Taro
International Journal of Disaster Management Vol 6, No 3 (2023)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v6i2.34523

Abstract

This paper aims to seek a deeper understanding of the intention to use Virtual Reality (VR)/ Augmented Reality (AR) to strengthen disaster risk reduction using the technology acceptance model (TAM) among people at risk of a tsunami. Kuta, Bali, Indonesia, was selected as a case study due to its high tsunami risk and dense tourism activities. Data is collected by interviewing 148 households living along the coast who were selected purposively based on the hazard map of the tsunami and the location of tsunami drills in the past, including the proportion of migrants and non-migrants. Studies show that technology is needed to better prepare for future tsunami risks. Despite having experience in tsunami drills, understanding evacuation routes still needs to improve. People perceived VR/AR could provide integrated knowledge and information about tsunamis, including evacuation routes and shelters. Moreover, the VR/AR technology is also perceived to complement existing knowledge and information about coastal protection generated from ecosystem services. The result shows that the intention to use VR/AR is described by the perceived usefulness and perceived ease of use. Significant differences appear among different age groups and are not merely based on migrant's status. This study has an essential impact on policymakers, particularly in proposing the implementation of VR/AR to plan disaster risk reduction effectively.