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Pengenalan Komponen Elektronika Raspberry Pi Untuk Kalangan Siswa dan Siswi di Kembangan Utara Lukman Medriavin Silalahi; Imelda Uli Vistalina Simanjuntak; Freddy Artadima Silaban; Setiyo Budiyanto; Dimas Jatikusumo; Muhammad Ikhsan; Agus Dendi Rochendi
Jurnal Abdimas ADPI Sains dan Teknologi Vol. 1 No. 2 (2020): Jurnal Abdimas ADPI Sains dan Teknologi
Publisher : Asosiasi Dosen Pengabdian kepada Masyarakat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47841/saintek.v1i2.129

Abstract

Industry demand for skilled human resources presents a challenge for every school graduate to conduct various competency and skills training. So, the solution to meet industry challenges is a training on the application of science and technology for the community entitled "Introduction to the Raspberry Pi Electronic Components for Students in Kembangan Utara". The final output of this activity is to provide training and counseling on the Raspberry Pi module, in this case the design of a simple Water Irrigation system, using a water level detector as input information that will be processed and processed by the Raspberry Pi. The results of this community service activity were that students were introduced to a mini computer device called the Raspberry Pi and its application.
Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice Lukman Medriavin Silalahi; Dimas Jatikusumo; Setiyo Budiyanto; Freddy Artadima Silaban; Imelda Uli Vistalina Simanjuntak; Agus Dendi Rochendi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp6022-6033

Abstract

This research raises the topic of modern technology in the field of rice fields. The problem in this research is determining the fuzzy inference system algorithm for electronic engineering. The prototype was built by Raspberry Pi and python-based to the internet of things. The objective of this research is to design a new model for the rice field monitoring/control system and display every condition based on the internet of things. So that the hypothesis of this research can answer the phenomena that occur in rice fields, including drought problems, maintained plant conditions. The test results showed that irrigation control automatically runs optimally by scheduling, automatic irrigation control of water pH degree value detection analyzed by fuzzy Tsukamoto method at Z=3.5 defuzzification value for low and high irrigation control, and Z value=1.83 for normal irrigation control. Furthermore, the scheduling of spraying liquid fertilizer obtained the results of duration for 60 min in accordance with the needs of fertilizer dose. Lastly, for monitoring data on the website successfully accessed anywhere from the use of hosting servers and domains. Finally, it can be concluded that fuzzy Tsukamoto's algorithm is appropriate to be applied to the modern rice field system.