PIMNAS stands for National Student Scientific Week, currently the 34th PIMNAS is officially opened and can be followed by all students. However, because the Covid-19 pandemic is still ongoing, this PIMNAS will be held online, even though in its implementation it has been carried out online, offline and virtual-digital.

A series of competition activities for the 34th National Student Scientific Week (Pimnas) in 2021 by the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek) which took place online, has reached its peak. A total of 37 contingents from Diponegoro University also succeeded in placing Undip in 8th place, on the closing night of the prestigious event, Friday (29/10) night.

In this annual national-scale event, Diponegoro University won 28 medals, of which the medals were obtained from the presentation category and from the poster category. The details of the medals are 7 gold medals, 4 silver medals, and 17 bronze medals.

PKM Karsa Cipta is one of the medal contributors in the 34th Pimnas presentation category with a Bronze medal. The team led by Rifaldi Kallolangi and assisted by Mr. Hadha Afrisal, S.T., M.Sc. as a companion lecturer carrying the title “Pump Automation System in Polders and Early Warning to Anticipate Floods Based on Internet of Things and Machine Learning.” This team consists of Nathanael Bagus J, Prima Prasetyo Simanjuntak, Nanda Fitri Tsalatsa from Undip Electrical Engineering, and Salsabilla Arlita from Undip Environmental Engineering. Rifaldi Kallolangi as the team leader said that they carried the theme and title because there are still many and frequent floods in this country, so it is hoped that with this prototype it can help Indonesia overcome and overcome flood disasters that occur in Indonesia.

The prototype they designed carries Artificial Intelligence technology in making decisions. Where the method used in making this prototype is machine learning based on artificial neural networks. This prototype processes 7 inputs in the form of BMKG weather predictions and inputs in the form of sensors for water level, discharge, rain, and temperature to predict the occurrence of floods. In addition, this prototype is equipped with the Internet of Things to transmit data to websites and applications. Applications and websites designed to function to monitor environmental conditions, and can be accessed by both officers and the general public.

Despite the various obstacles and evaluations, Rifaldi acknowledged their extraordinary efforts. He said that all members benefited from their self-development while participating in this activity. Especially in the development of soft skills that train students to work together in teams consisting of cross departments and generations. Prima Prasetyo as a member of the Undip PKM-KC Team expressed his hope that research development in departments and the University environment would be further improved in order to get maximum results. flood disaster in Indonesia.