Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Feri Adriyanto
Sebelas Maret University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Design of Automatic Watering and Humidity Systems Based on Internet of Things for Screenhouse Stefanus Marcellindo; Dina Mifika Sari; Savira Kharisma Putri; Muhammad Hammam Al-Choirie; Feri Adriyanto
Journal of Electrical, Electronic, Information, and Communication Technology Vol 3, No 2 (2021): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.3.2.55197

Abstract

Central Bureau of Statistics reports that the population in Indonesia continues to increase every 10 years. The more the population swells, the greater the need for food. To meet the community's need for food availability, there are several agricultural obstacles such as growth criteria that are not by the type of commodity. Air temperature, humidity and intensity of water supply are included as criteria for plant growth (Budiman and Saraswati, 2005). Erratic weather changes make farmers unable to guarantee production results with good quality, and quantity. This research is designed using a tool that has been integrated with the Internet of Things system embedded in a raspberry pi as the overall processing core [1]. In addition to the raspberry pi, there are also several sensors as real condition readings, several relays as an electric pump controller and a solenoid valve as an electrical faucet controller, and these components will be connectedwith the ESP8266/NodeMcu module using a wifi connection. The data read by these sensors is displayed on the smartphone screen as a monitoring function in real-time and also the user can directly take action using the remote control, both automatic actions using machine learning or manual action.This sophisticated screenhouse can perform irrigation actions and temperature regulation automatically without having to do direct monitoring every time. The use of this system in agriculture allows the owner to not need to do direct monitoring by coming to the screenhouse, users can simply monitor using a smartphone connected to the Internet network.The application of this system can carry out watering actions and regulate the temperature in the screenhouse room automatically according to the aspects of good growth criteria for plants. Like controlling the microclimate in the screenhouse. 
Design of Monitoring and Separating Dustbin System using Internet of Things Rizal Mujaddid Irsyad; Luqman Hadi Dwi Satryo; Annisa Larasati Febrianingrum; Feri Adriyanto
Journal of Electrical, Electronic, Information, and Communication Technology Vol 2, No 2 (2020): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.2.2.45112

Abstract

The growing population is causing a big problem in terms of waste.  Garbage sorting efforts need to be made, especially the separation between organic and non-organic garbage, so that non-organic garbage that can still be recycled is not contaminated by organic garbage containing water and oil. Moreover, it requires swift handling of trash bins that are full so that trash does not accumulate and become an epidemic. For that we need innovation in the form of technology that is able to overcome these problems. This paper is designed IoT-based garbage for monitoring and separating dustbin. The design of garbage was made using Arduino UNO as a microcontroller that can monitor and sort garbage automatically. There are 2 stages in the garbage sorting process. The first stage is the metal and non-metal separation, and then the second stage is the organic and non-organic stages. When the trash is full, the trash can lid will be locked and then the system will send a notification to the garbage manager regarding the location/position of the trash and the weight of the trash. This research method includes 4 stages such as analysis of needs and working methods, design of hardware and software design, implementation, and finally testing of the design.Keywords— garbage, waste management, garbage sorting, separting dustbin, internet of things
Design and Build Automatic Transfer Switch (ATS) Based Internet of Things on Microgrid System Andhika Rizkita Putera; Muhammad Nizam; Feri Adriyanto
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.2.64700

Abstract

Electrical energy is a primary human requirement for continuously operating electronic devices. However, nonrenewable electrical energy is becoming increasingly scarce. As a backup power source, regenerative energy sources are an option. Because the conventional power grid transfer system takes a relatively long time, the application of a control system on the power grid transfer automatically can maximize efficiency, safety, and accuracy. In this study, an ATS system was developed using the electrical grid switching method for 300ms, 600ms, and 1000ms, as well as IoT to optimize the ATS manual override system with monitor voltage, current, and power. The test results show that the switching accuracy of 300ms is 98.40% and 98.18% with an average voltage of 19.65V and 41.22V when switching, 600ms switching is 98.14% and 99.25% with an average voltage of 17.77V and 18.18V when switching, and 1000ms switching is 99.40% and 99.41% with an average voltage of 17.52V and 21.05V, respectively. The voltage overshoot is obtained for 16ms and 40ms in linear loading and is stable within 2ms. There is harmonic distortion when loading non-linear for 9 cycles and 2 cycles of periodic frequency. The hardware data transmission accuracy is 97.94%, and the success rate of manual override is 100%.
Alcohol and pH Detectors Based Internet of Thing for Hand Sanitizer Feri Adriyanto; Geovani Rahmad Illahi; Hayyan Yusuf; Diah Anggi Munika; Yuki Martha Anggraini; Hibatul Wafi Ah Fahrudin
Journal of Electrical, Electronic, Information, and Communication Technology Vol 3, No 2 (2021): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.3.2.54772

Abstract

Alcohol and pH levels in hand sanitizer are two things that need to be considered. The amount of alcohol content affects the level of effectiveness in killing germs, while the pH level is a factor that indicates whether the liquid is safe for human skin or not. HANDSIOT is a device to measure alcohol levels and pH in hand sanitizers. HANDSIOT is operated by testing the hand sanitizer liquid in the liquid container at the bottom. This device is made to be able to take measurements effectively and can monitor the measurement results in real-time using a smartphone. Gas chromatography and electrolysis methods were implemented using the MQ-3 gas sensor and the SEN0161 pH sensor. The gas chromatography method is used as a method of measuring alcohol content based on the evaporation of the alcohol. While the electrolysis method is used to measure the pH degree by measuring the amount of current flowing using two electrodes. In testing the accuracy of this tool by comparing the readings on the tool with an alcohol meter and also a pH sensor that is already available on the market
Development of Control and Monitoring of BLDC Motor Speed without Sensor with Back Emf Detection Nada Syadza Azizah; Feri Adriyanto; Joko Slamet Saputro
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 1 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.1.66698

Abstract

The development of technology at this time has an important role for all human needs and needs. One of the technologies that are currently developing is technology in the field of transportation. The development of electric vehicles is very relevant to be developed. However, in electric vehicles on the market, the control system used is less than optimal to respond to the load given to electric vehicles, resulting in a decrease in performance and waste of electrical energy. In general, BLDC motors which are often used as control systems use a position sensor (Hall effect sensor) in determining driver commutation. The use of position sensors often results in errors in configuration with the controller, difficulty in installation in case of damage, sensitivity of the sensor to temperature increases and the price of the sensor is relatively expensive. The use of sensorless method with Back EMF detection is an alternative solution to determine inverter commutation on BLDC motors. In this thesis, a BLDC motor speed control is developed which provides optimal, efficient and safe performance. This control system uses driver IC IR2101 and power switching MOSFET IRFZ44N. As a prototype, a 1000KV BLDC motor is used, controlled by an Arduino microcontroller and an ESP32 which is monitored by Blynk. The result achieved is that this system is able to control the rotation of the motor and stabilize the speed when there is a change in load. The efficiency of the no-load system reaches 46.48% and at maximum loading it reaches 36.98%, the best efficiency is obtained in the propeller II loading variation with an efficiency of 86.34%.
Co-Authors Andhika Rizkita Putera Annisa Larasati Febrianingrum Diah Anggi Munika Dina Mifika Sari Geovani Rahmad Illahi Hayyan Yusuf Hibatul Wafi Ah Fahrudin Joko Slamet Saputro Luqman Hadi Dwi Satryo Muhammad Hammam Al-Choirie Muhammad Nizam Nada Syadza Azizah Rizal Mujaddid Irsyad Savira Kharisma Putri Stefanus Marcellindo Yuki Martha Anggraini