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Journal : chipset journal on computer hardware signal processing embedded system and networking

Rancang Bangun Perangkap Tikus Jenis Falling Floor Trap Menggunakan Dengan Notifikasi Android Berbasis Mikrokontroler Abdul Hamid; Budi Rahmadya; Arrya Anandika
CHIPSET Vol. 4 No. 02 (2023): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.4.02.119-128.2023

Abstract

This Study aims to create a Falling Floor type of Rats Trap that can automatically catches and kills rats that enter the trap and then, it will send a notification to the user’s phone via telegram chat app also automatically set it back to steady state again once the times given to kill the rat is over by using a sensor while system is controlled by a microcontroller. The system consists several main components that construct the system, first Wemos D1 “a wifi connections ready microcontroller” that controls whole system, an ultrasonic sensor as the main input, it detects the range of the sensor from the rat that enter the trap, the exact range will be determined as the the right condition so that system says a rat is detected, servo motors that used as rat traps mechanic that move each exact part of rat traps, like moves the rat enter‘s door, moves the trap floor, and moves the fences insde the rat cage, and especially systems should be connected to an internet connection by the wemos D1, so that system can sends a notification to user’s phone if a rat caught by the system with overall success rate is 67%.
Prototype of Monitoring System for Power Absorption and Solar Panel Maintenance on Website-Based Solar Power Plant Ananda, Melly Wasilah; Yolanda, Desta; Anandika, Arrya
CHIPSET Vol. 5 No. 01 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.01.40-48.2024

Abstract

Solar power plants (PLTS) are a source of electrical energy that will never run out and will not damage the environment. PLTS is an alternative energy source when an electricity supply has not reached an area or has no commonly used power generation source, such as gas or water. In PLTS, solar panels are devices that need to be considered to maintain the performance of solar panels on PLTS. Several things must be considered, as solar panels must be protected from dust and dirt that can block sunlight. Solar panels should also not dry themselves after being wet with water because there will be traces of water left behind. Moisture on the surface of solar cells significantly reduces cell performance due to the disruption of the absorption and refraction of sunlight. To overcome this problem, the author proposes to design a system that can monitor the absorption of power carried out by solar panels and perform maintenance on solar panels in the form of cleaning from dust and dirt automatically and helping to dry after the rain subsides on the surface of solar panels. This system is integrated with the website so that officers can monitor through the monitoring website interface. This designed system can optimize power absorption on solar panels and help officers know the results of power absorption by solar panels.
Design Of A Portable Mini Pump It Up System Based On Mini Computer For Children's Gross Motor Improvement Prima, Lucky; Anandika, Arrya; Purbolingga, Yoan; Syahputra, Ronaldo
CHIPSET Vol. 5 No. 02 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.02.126-131.2024

Abstract

The increasing influence of smartphones on young children has raised concerns about the delayed development of gross motor skills, particularly in early childhood. This issue is significant in Indonesia, which ranks fifth in ASEAN for birth rates, resulting in a large population of children at risk. Excessive smartphone use by children leads to decreased physical activity, potentially causing health problems such as obesity and reduced physical fitness. The objective of this study is to design and develop a portable system, called the "Mini Pump It Up," based on a mini-computer (Raspberry Pi 5), that encourages children to engage in more physical activities. This device is intended to divert children from excessive smartphone usage, thereby stimulating their gross motor skills development. Additionally, the system is designed to be used anywhere without requiring an external power source. The research concludes that the system successfully operates in portable mode without the need for a power supply, sustaining functionality for 3 hours, 10 minutes, and 15 seconds. Furthermore, the system effectively captures the interest of children, as evidenced by 84.21% of the 19 children participants choosing to interact with the product instead of engaging with smartphones.
Volume Measurement System of Used Cooking Oil (UCO) Using Internet of Things and Web-Based System Koto, Zulafrilian; Anandika, Arrya; Sato, Yuta; Pramawahyudi, Pramawahyudi; Syahputra, Ronaldo
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.77-84.2026

Abstract

One of the main issues is the discrepancy between the measured and actual oil volumes of used cooking oil (UCO). Using a measurement tank as the measuring medium and an ultrasonic sensor as the tool, a system was developed to automatically measure oil volume with high accuracy. This system allows users to continuously measure oil volume using a servo motor that directs the oil into a storage tank. The system is designed to notify the company and customers via an LCD display and website when the oil measurement is completed. The system successfully measures oil volume using the ultrasonic sensor, achieving an accuracy of 96.74% during implementation.