Center for Climate Risk and Opportunity Management of Bogor Agricultural University in collaboration with National Institute for Environmental Studies-Japan developed an on-line system to monitor real time air quality and greenhouse gases for three sites surrounding Jakarta area, i.e. Bogor (Center of Bogor city), Serpong (Jakarta suburb) and Cibeureum (mountainous area, background-like site). The system uses standards air-quality monitoring equipped with an array of gaseous and meteorological sensors. The system records data every minute and stores in local storage and sent automatically to a Dropbox every 6 hours. The data in the Dropbox is accessed using API and being processed and analysed using several modules to be converted into useful information and presented in a website. The website will display real time air quality for ozone (O3) and particulate matters (PM2.5 and PM10) and greenhouse gas data (CO2, CH4), Carbon monoxide (CO) Nitrogen Oxide (NOx), and Sulfur Dioxide (SO2), in the past 30-day including local weather data for the past 7 days. These data are then converted into an index indicating the status of the quality of the air surrounding the stations. The index is divided into five categories based on EPA air quality standard, namely good, moderate, unhealthy for sensitive group, unhealthy and very unhealthy. The system can provide the status of air quality index on a six hours basis and easy to be accessed by any stakeholder. The system allows local authorities, communities and industries to easily access and use the information for air quality management purposes and early warning.

The drying performance technology is one of the most critical operations in copra production. This study aims to identify various drying methods in copra production and determine the best copra drying method based on the criteria of drying operation, environmental impact, and copra product quality. The research was carried out with the stage of identifying the drying methods of copra through literature studies and secondary data collection and continued with the stage of determining the best drying method using the composite performance index (CPI) method. Of nine drying methods, six range were identified as coconut processing scale 20–1200 kg, copra drying temperature 40–70°C, drying time 7.9-48 hours, drying rate 1.05–5.70%/hour, energy use 110.7–32140 kJ/kg-product, and the emission of 0.1–34.074 kg-CO2/kg-product. The nine methods of drying copra produce good quality copra based on copra product standards. Based on the calculation of alternative values using the CPI method, it has been shown that the best drying method was using a dryer with a drying temperature of 68°C and a drying rate of 5.70 %/hour. This drying method uses the energy of 14824 kJ/kg product and produces an emission value of 1.25 kg-CO2/kg product. The copra produced by this drying method gives 5% moisture, 60% oil, and 1% free fatty acid. Keywords: coconut, composite performance index, copra, drying technology