Jurnal Elektro

Implementasi dan Analisis Alat Kompres Demam Suhu Hangat dengan Sensor DS18B20 dan Pengendali Arduino Uno

Karel Octavianus Bachri, Arka Soewono, Kevin — Sat, 12 Oct 2024 00:00:00 +0200

Fever is a condition where the body temperature rises above normal levels, often caused by an infection. Non-medical management of fever can be done by using cold or warm compresses. Warm compresses are more effective but require a complex and repetitive process. This study is the design of a Digital Fever Compress Device using warm temperature based on Arduino Uno. The Digital Fever Compress Device is designed for non-medical fever management. The Digital Fever Compress Device is equipped with a DS18B20 sensor, Liquid Crystal Display (LCD), Relay, cartridge heater as a heating element, three pushbuttons, XL4005 stepdown module, and one On-Off switch. The Digital Fever Compress Device can produce warm temperatures and adjust them according to the user's preferences with a minimum limit of 37.5°C and a maximum of 42°C with a timer for 20 minutes. Environmental temperature affects the temperature setting processing carried out by the microcontroller. Based on the tests conducted in an air-conditioned room, the average time from the initial temperature to the setpoint is 6 minutes and 15 seconds, and the temperature increase from the setpoint ranges from 45.6°C or 15.079%. Meanwhile, testing in a non-air-conditioned room, the average time from the initial temperature to the setpoint is 2 minutes and 26 seconds, and the temperature increase from the setpoint ranges from 44.64°C or 12.37%.

Perancangan Aplikasi Koperasi Berbasis Android

Sat, 12 Oct 2024 00:00:00 +0200

The development of information technology cannot be separated from the use of mobile applications, which are increasingly varied. Mobile applications allow users to easily connect to internet services anywhere. Cooperatives are joint business entities that generally still use the manual method for recording members, transactions and so on, which can lead to human errors and time inefficiencies. The existence of a website-based cooperative mobile application that is implemented on smartphones using the Xamarin.Forms framework can reduce these problems. Smartphones will make online cooperatives more effective because they are portable, easy to use and more affordable.

Pengembangan Perangkat Lunak Untuk Akuisisi Data Konsumsi Daya Listrik Dari Power Meter

Ignatius Ginting, Melisa Mulyadi, Linda Wijayanti, Ferry Rippun Gideon Manalu — Sat, 12 Oct 2024 00:00:00 +0200

Technological developments make it possible to monitor electricity consumption in real-time via the internet. The system developed uses a power meter to collect data, Python to process data and IoT connectivity via NodeMCU ESP8266 to send data to the internet. Python is used so that measurement data can be processed and presented in an easy-to-understand format. The test results show that electrical data measurements can be displayed with an error ranging from 0.04% -11.56%. This is because there is a delay from the time the power meter is measured until the data is displayed on ThingSpeak.

Studi Performa Panel Surya 100 WP Menggunakan Software Homer Di Universitas Pamulang

Refor mangasi simanjuntak, Aripin Triyanto — Sat, 12 Oct 2024 00:00:00 +0200

Studies on designs and systems for solar panels are currently continuing to be developed. One application is to design a Homer-based solar power generation system (PLTS) with a solar panel capacity of 100 Wp and analyze the system performance at different loads. This research was conducted to determine the amount of power that solar panels can produce, load consumption, and determine a suitable system configuration to meet electricity needs at different loads. The method used is design, determining parameters on the homer and creating a simulation with loading. The research results show that the amount of power that can be produced by solar panels is 75,2kWh/year and can meet electricity needs at different loads. It is hoped that this research can be a solution to optimize the use of solar energy on a small scale and support renewable energy programs in Indonesia.

Frequency Extraction of Phonocardiogram Signal using Fourier Transform

Karel Octavianus Bachri — Sat, 12 Oct 2024 00:00:00 +0200

This article presents Fourier Transform application to extract features of Phonocardiogram Signals into its frequency components. Data was taken from Physionet Dataset of Phonocardiogram which comprises of normal and abnormal heart condition. Raw data was preprocessed using time clipping of 2 seconds at certain area that contains less noise. A lowpass filter was applied to denoise the raw signals. Experiments show the PCG of normal hearts has a dominant frequency of 50Hz to 150Hz, with the subdominant frequencies of 450 Hz to 650 Hz. The subdominant frequency of the normal hearts sometimes show anomaly with more amplitude compared to the dominant frequency.