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Wireless Sensor Network Nodal Development for Low Cost and Low Power PH Soil Monitoring Agriculture 4.0 Application Galang Hakim; muhammad Hafidz; Ahmad Firdausi; Eko Ramadhan
Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v1i2.16

Abstract

According to a report from the United Nations estimates that by 2030 about 800 million people worldwide will suffer from hunger. To combat this problem the agricultural production needs to be increased by at least 60%. One of many parameters that need to be monitor to increase agricultural output was soil PH level. Soil PH is very influential on the development of rice plants, where high acidity soil will make plant unhealthy and die. In order to be able monitor soil PH level, we need low cost and long life WSN node that can monitor soil PH level. In this paper we have manage to a long life WSN node that can monitor PH level with low cost at about less than 15 US dollar. this WSN node PH meter are using couple of aluminum and lead couple electrode as sensor, and its deviation at about 0.73 compare with ATC 009 PH meter which only 0.55. This device also capable to operate for so long (which is 2 years operational time) using 0.1 duty cycle scheme.
Soil Energy Harvester for Batteryless Wireless Sensor Network Node using Redox Method Galang Persada Nurani Hakim; Eko Ramadhan; Diah Septiyana
Jurnal Teknologi Elektro Vol 14, No 1 (2023)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2023.v14i1.009

Abstract

The Wireless Sensor Network technologies has great advantage that provide us with cheap solution to deal with telecommunication infrastructure problem that don’t exist in extreme and isolated area. However, the biggest problem exist within wireless sensor network was WSN node limited power. In this paper we try to provide battery less power sources for Wireless Sensor Network Node using Redox method. Using 9 combinations of electrodes circuits, it can provide 6.53 volt and turn on Arduino Mini Pro microcontroller. However, the second it turns on Arduino Mini Pro the voltage drops to 1.73 Volts. Hence this energy harvester can provide power to the Arduino Mini Pro microcontroller with unstable power supply.
Comparison in Quality of service Performance For Wireless Sensor Network Routing between Fuzzy Topsis and SAW Algorithm Muhammad Hafizd Ibnu Hajar; Galang Persada Nurani Hakim; Ahmad Firdausi; Eko Ramadhan
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2530

Abstract

one of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. Because of many things data transfer is Wireless Sensor Network operation sometimes has disturbance. A routing algorithm is a network coding that intends to enhance network performance for better operation with or without any disturbance. Fuzzy TOPSIS and SAW as MCDM algorithm is proposed for routing algorithm in Wireless Sensor Network operation. From our simulation both SAW  and Fuzzy Topsis algorithm can be used in network coding (routing) to provide better QOS for Wireless Sensor Network compare with shortest path routing. For delay it perform better at about 2/3 (shortest path routing 50 millisecond, both SAW and Fuzzy Topsis algorithm 33 millisecond), and for packet loss at about 3/4 (shortest path routing 21 bit loss, both SAW and Fuzzy Topsis algorithm 16 bit loss). From our simulation both SAW and Fuzzy Topsis algorithm algorithm has benefit which is lower delay and packet loss but at higher cost which is more hopping for communication channel (shortest path routing 3 hopping, both SAW and Fuzzy Topsis algorithm 5 hopping)