ABSTRACT
The impact of the coronavirus pandemic (COVID-l9) has prompted the need to explore alternative culture systems at the household level to both increase people's resilience and close the gap of hunger inequality and under nutrition of Sustainable Development Goal (SDG-2). In this study, Common bean (Phaseolus vulgaris L) was grown using a soilless culture system (SCS) in three different household residences. The partitioning plant's behavior was observed for favorable impact from both organic and inorganic fertilizer treatments. Two-week-old common bean seedlings were grown in separate media consisting of organic fertilizer from chicken manure and inorganic fertilizer (NPK). Sprinkle-on media and foliar techniques were used to fertilize plants with inorganic Super-grow and organic fertilizer based on rice waste. As a control, Hoagland solution was used to irrigate plants in all locations. The result shows that both plants partitioning and shoot to root ratio were improved by the combination of chicken manure, NPK, and Hoagland. Super growth liquid fertilizer and rice waste fertilizer also showed similar positive results. However, the plants were inhibited when they came into contact with household wastewater containing detergent. We concluded that Common Bean could be adapted into the soilless culture system in household residences and also be integrated into the Biophysical economic circulatory model. Concurrently, more attention must be paid to the plant partitioning indicator while research scale-up has the potential to support the targets of the 7 SDGs. © 2022 Author(s).
ABSTRACT
Various innovations have emerged since the Covid-19 Pandemic. Innovations that arise are mainly to reduce the rate of disease spread. Studies on the development of robots are still rare when viewed from various studies. This study enriches the conceptual research related to designing a patient care robot that can be controlled remotely. The technology developed is based on the Internet of Things (IoT). This robot can deliver patient needs and communicate with patients through the LCD screen available on the robot. With the design of this Covid-19 patient service robot, patient care can be carried out remotely. This technology has the potential to be developed and optimized according to the needs in the field.
ABSTRACT
Forest and land fires occur almost every year in South Sumatera Province, including at Ogan Komering Ilir (OKI) Regency, mainly due to uncontrolled burning activities. This region has the largest peatland responsible for the adverse haze impacts. The advent of the coronavirus (COVID-19) pandemic in early 2020 has triggered massive consequences across the global communities, including Indonesia. Therefore, large-scale regulations on social restrictions were enacted. The purpose of this study is to analyze the variations in hotspots as forest and land fire indicators before and during the COVID-19 pandemic in OKI as well as to determine the rainfall effects. Daily Terra/Aqua MODIS satellite feeds and rainfall data between January 2018 and December 2020 served as the research materials. Subsequently, the paired t-test and correlation assessment were used to examine the hotspot variations in both datasets, respectively. The results showed significant statistical differences before and during the pandemic. Consequently, social restrictions were assumed to instigate the decline in burning activities. Furthermore, the rainfall demonstrated a vulnerable correlation to the hotspots, indicating that human factor was more pronounced as afire trigger.