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Journal : Jurnal Quancom: Jurnal Quantum Komputer

MEKANISME KEAMANAN MESIN LAS RESISTANSI MENGGUNAKAN SENSOR INFRA MERAH PASIF BERBASIS TEKNOLOGI MIKROKONTROLER Nadjamudin; joni eka candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

Arduino is an open-source based microcontroller derived by wiring platform that has its own programming language and is designed to facilitate the designer of electronic devices in various fields. The main component is a microcontroller chip with AVR type from Atmel company.In the world of intelligent system electronics are widely used microcontroller devices, both as controls, displays, sensor readings and data processing. Now, there is a type of microcontroller that is easy to use and quickly mastered the Arduino. There are various types of arduino in terms of size, function and the complexity of its function. By understanding the basic principles of microcontroller work in its application on arduino, the design of electronic equipment can be easily realized.
PENERAPAN APLIKASI ANDROID UNTUK ALAT MONITORING KESEHATAN MANUSIA Kevin; joni eka candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

The purpose of this research is to realize an Android-based human health condition monitoring tool, to combine Pulse sensors, DS18B20 temperature sensors and sound sensors as a tool for monitoring Android-based human health conditions, to provide new alternatives for the procurement of more health monitoring tools. cheap. The objects to be measured are 3 indicators, namely measurement of heart rate, body temperature, and breathing which input data through DS18B20 temperature sensor, Pulse sensor, Sound sensor. For measurement of heart rate and respiration measurements are carried out for 1 minute. The measurement results will be displayed on the LCD then the measurement data will be sent to the Android application via Bluetooth HC-05. The results of the study through later measurements were compared with manual measurements and using a thermometer for measuring body temperature. Based on the research data it can be concluded that all the circuits are going well, there are small differences between the measurement results manually or with a thermometer with measurements using research tools, the percentage of temperature sensor error DS18B20 0.33%, Pulse sensor 2.46%, Sound sensor 4.84% so that this tool can be a measuring tool for health monitoring. This tool is expected to be further developed by combining other health indicators.
Rancang Bangun Alat Bantu Deteksi Warna Bagi Penderita Buta Warna Dengan Output Suara Berbasis Internet Of Things (IoT) Maranti Nainggolan; Joni Eka Candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

Buta warna adalah gangguan penglihatan yang menyebabkan penderitanya tidak dapat membedakan warna. Penderita buta warna sering mengalami kendala dalam menjalani aktivitas sehari-hari, seperti memilih warna pakaian, kesulitan belajar dengan materi yang membutuhkan perspektif warna seperti tabel dan grafik. Selain itu, ketidakmampuan untuk melihat warna dapat membatasi orang yang menderita buta warna dalam bekerja, seperti pengemudi kendaraan, pelaut, pilot dan teknisi elektronik. Salah satu solusi untuk mengatasi masalah tersebut adalah dengan membangun alat pendeteksi warna dan aplikasi android berbasis Internet Of Things yang bertujuan untuk membantu penderita buta warna mengenali warna. Komponen utama untuk merancang sistem deteksi warna terdiri dari TCS3200 sensor warna dan NodeMCU Esp8266. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif untuk memperoleh data penelitian. Hasil dari penelitian ini adalah aplikasi buta warna yang dapat menampilkan data warna yang terdeteksi, berupa gambar berwarna, teks dan suara. Pengujian waktu deteksi rata-rata untuk setiap warna adalah merah (2,12 detik), hijau (3,07 detik), biru (3,41 detik), kuning (2,49 detik), coklat (4,5 detik), hitam (3,12 detik), nila (3,07 detik), ungu (2,6), oranye (3,15 detik), magenta (2,42 detik) sedangkan akurasi masing-masing warna adalah merah, hijau, biru, kuning dan coklat sebesar 100%, hitam dan ungu sebesar 70%, nila 90%, oranye 80%, dan magenta 60%.
Rancang Bangun Solar Panel Tracker Dual Axis Berbasis Internet Of Things Beda, Nadjamudin; Joni Eka Candra; Muhammad Jufri
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 1 (2024): Juni 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i1.188

Abstract

The aim of this research is to develop a monitoring system for an IoT-based dual axis solar tracking system, with the aim of increasing the efficiency of light absorption by solar panels and monitoring the power produced by IoT-based solar panels. A tracking system is a method that is able to move solar panels according to changes in the direction of the light source, ensuring that the solar panels receive maximum light to achieve maximum power. The research method applied involves a series of tests to monitor the solar tracking system. Measurements involve the variable tilt of the solar panel, voltage, current and light intensity using a designed device, the results of which are then compared with standard measuring instruments. The system that has been developed successfully moves the solar panels according to the direction of the light source. The monitoring system uses Arduino and Esp8266 as microcontrollers, DinamoDC as the driving motor. After that, the percentage error for each measurement is calculated. The research results show that the light insensitivity values from solar panel test data were taken from 07.00 to 17.00. Based on several measurements that have been carried out, it can be concluded that the solar panels are functioning well, this is proven by the results of solar panel measurements with an average measured voltage of 18.45 volts – 20.38 volts.
Sistem Monitoring Daya Listrik Berbasis Internet of Things Menggunakan Aplikasi Blynk Rifa; Risky Sandiari; Joni Eka Candra; Zainul Munir
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 1 (2024): Juni 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i1.329

Abstract

This research aims to design and implement a monitoring system that allows the measurement of voltage, current, and power using electronic devices, particularly NodeMCU and PZEM004T current sensor, along with the Blynk application as the user interface. The development method used is the waterfall method, involving stages of analysis, design, implementation, testing, and evaluation.This monitoring system is designed to measure voltage, current, and power for various electronic devices at home or in the surrounding environment. However, the measurement results obtained show errors, especially in current measurement. The current measurement results have a significant error rate, which can affect the accuracy of power calculations. The error testing results for the voltage sensor are 3W lamp (0.171%), 10W lamp (0.343%), and the overall average voltage sensor error is 0.410%, the average errors for the current sensor are (92%), power (1.57%), and the total cost of electricity that will be paid for a month is (Rp.89,232)..
Rancang Bangun Alat Penetralisir Asap Rokok pada Ruang Tamu Berbasis Internet of Things Dika, Andika Zahrah Ramadhanti; Luki Hernando; Joni Eka Candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 2 (2024): Desember 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i2.398

Abstract

Cigarette smoke is one type of air pollutant that can cause various health problems, such as coughing, cancer and other health problems, especially when accumulated in the house, especially in the living room which is often used for gathering. This research aims to design and build an Internet of Things (IoT)-based cigarette smoke neutralization device that utilizes MQ-2 and MQ-135 sensors to detect the presence of smoke and harmful substances. The method used in this research is the waterfall method, which includes requirements analysis, design, implementation, testing, and maintenance. The development process of this tool is carried out systematically. This tool is equipped with a bot telegram notification system that provides real-time information to users regarding the air quality in the living room. When the sensor detects pollution levels exceeding the threshold, the device will activate the fan to increase air circulation and utilize the exhaust fan to neutralize smoke. In addition, the sound output from the speaker provides information about the air quality and notifies that the room has been successfully neutralized. Based on the test results, this prototype tool is able to detect air quality and takes ±1 minute to neutralize a room contaminated with smoke > 10 ppm while for smoke levels > 50 ppm, it takes ±2 minutes to create a healthy environment for the occupants. This research is expected to provide an innovative solution to the problem of smoke pollution and the implementation of indoor smoking bans.