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Sistem Informasi Desa Siaga Pangan Menghadapi Covid19 berbasis Web Service Amanda Putri Septiani; Wira Junardi; Ainun Amaliah; Arief Bachtiar; JM Ihza Mahendra; Muhammad Irfan Muttaqin
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.63

Abstract

SIDAVID19 is a food alert village information system to deal with COVID19, a capability that must be owned by the system for recording the entry and distribution of staple goods, BKPD can know food supplies and aid recipients in an integrated manner as well as village residents to obtain information to distribute village food via the internet. Information integration is a necessity for the government in realizing integrated services to the public. The SIDAVID19 service is one of the services provided to facilitate the management of the distribution of staple goods during the COVID9 emergency and access to information for the public and BKPD. This study describes the design of the SiDavid19 service, which is a web service technology to connect users and providers in retrieving information needed by users.
Smart Crowdsensing Berbasis Smart Service untuk Pemulihan Sektor Kesehatan dan Ekonomi di Masa Pandemi Amanda Putri Septiani
Jurnal Sistem Cerdas Vol. 4 No. 3 (2021)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v4i3.96

Abstract

The use of intelligent systems and technology is very much needed during this Covid-19 pandemic. The reason is that there are many sectors that must be rescued immediately, such as health and the economy. On the one hand, the community must be saved from the ongoing epidemic, but on the other hand, economic activity must continue to be pursued even though it is not in ideal conditions. One solution to these problems is the design of Smart Crowdsensing based on smart services that can be used to support physical distancing but still stimulate economic activity to keep moving. In general, smart crowdsensing functions to (i) detect crowds using location data from the user's mobile device GPS, (ii) self-quarantine surveillance and contact tracing using position history in real time, and (iii) collect and process information from citizen interactions. on social media to find out citizen reports related to the pandemic. Smart crowdsensing is designed using a smart service engineering method that allows it to communicate with other services using a REST API.