Nisrina Salwa Thifaal
Dian Nuswantoro University

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DESIGN OF IOT AND ONION AGRICULTURE DATABASE USING BPR LIFE CYCLE Nisrina Salwa Thifaal; Farrikh Alzami; Alvin Steven; Rindra Yusianto; Filmada Ocky Saputra; Mila Sartika; Pulung Nurtantio Andono; Firman Wahyudi
Moneter: Jurnal Keuangan dan Perbankan Vol. 11 No. 1 (2023)
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.824 KB) | DOI: 10.32832/moneter.v11i1.54

Abstract

One of the food commodities produced by the agricultural sector with high economic value is red onion. As the population of Indonesia increases, the need for red oniom has also increased. The level of red onion production from year to year is also increasing. Especially the central Java area as the largest red onion producing center in 2021. Therefore, the amount of red onion production needs to be maintained and increased by monitoring overall land conditions. Such as weather conditions, air, temperature, and humidity. A sensor to detect these factors is already available but there is no database to accommodate the data from the sensor. The purpose of this research is to produce a Business Process Model and Notation (BPMN) of red onion surveillance system on Internet of Things (IoT) based farmland. The stages carried out are by collecting data related to the research and analyzing business processes using the Business Process Reengineering Life Cycle (BPR) method. This method improves business processes to become more efficient and renewable. This research produces a database design to accommodate incoming data from Internet of Things sensors. Things (IoT) on red onion farming.