Judul: "SMART" AGROLOGISTIK: Sistem Pendukung Keputusan Spasial Cerdas untuk Pengembangan Logistik Agroindustri Kentang Berkelanjutan
Abstrak: Potato (Solanum tuberosum L.) is an essential horticultural food after wheat, rice, and corn. Indonesia is the world's 10th producer and the largest in Southeast Asia, with a growth rate of 8.4% per year and an average production of 1.3 million tons/year. The most significant production in Indonesia is Central Java, which is 277,702 tons. In Indonesia, potato is a strategic horticultural commodity that prioritizes diversified food consumption and supports national sustainable food security. Trends in global food security, the complexity, uncertainty of decision-making, and demands for environmental sustainability have given birth to adaptive technology, including modern logistics. Agro-industry logistics (agro logistics) is a modern logistics related to processing food horticultural raw materials. The main problem is the product characteristics with high vulnerability, complexity, and uncertainty. The perishable nature of commodities, sensitivity to climate change, and high price fluctuations cause this. Quality declines rapidly after harvest, resulting in potential losses of up to 40%. In addition, the spatial conditions affect the supply capability, while standard mathematical calculations cannot solve this problem. Therefore, a Decision Support System (DSS) is needed to improve sustainable food security that considers the characteristics of food horticultural products with a spatial perspective. This study developed "SMART" AGROLOGISTICS, a prototype application of an intelligent spatial decision-making system for sustainable potato agro logistics development. This prototype supports the SMART framework, a reliable and integrated simulation model that is adaptive and integrated. This prototype has determined the most suitable location for the development of potatoes as sustainable food horticulture. This prototype can integrate the IoT, namely SHT15 sensors for humidity and temperature and rain gauge sensors for rainfall. Spatial analysis of three physical factors: altitude, soil texture, slope percentage, and three factors: climate, temperature, humidity, and rainfall. The development of this prototype is an effort to increase productivity which is currently low, which is 16.99 tons/ha, and the target of meeting industrial needs, has only reached 85.93%. The prototype implementation level in Wonosobo, Central Java, shows that the average research sample with very suitable sustainability is 11.05%. Good condition with several inhibiting factors is 62.01%, and moderately sustainable condition is 22.9%. Meanwhile, we did not record 4.04%. Sustainability areas are in Kejajar (P1), Garung (P2), Mojotengah (P3), Kalikajar (P5), and Kepil (P13), so we recommend prioritizing these locations to meet industry needs. This study modifies the multi-thresholding method with overlay and geoprocessing techniques to predict the amount of harvest. The development of a prototype with a modification of this method attempts to balance supply and demand. The current demand for raw materials for the potato industry in Central Java is 117,000 tons/year. This prototype integrates IoT, namely remote sensing using DJI quadcopters drones to balance supply and demand. The prototype implementation shows that the average total harvest is 13.79 tons/ha, with the accuracy rate of 89.35%. The predicted total industrial potato production is 72,765 tons/year. So there is still a shortage of production of 44,235 tons/year. Decision-makers can use this method to meet the needs of potato raw materials for industry. The modification of this model can recommend an increase in
Keyword: food security, IoT, ISDSS, logistics transparency, spatial Dijkstra, sustainable potato agro-industry