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All Journal Best : Journal of Applied Electrical, Science and Technology
Afif Nuril Musthofa
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Baby Weight And Length Based On Arduino Uno With Combination Of Ultrasonic Sensor Hc-Sr04 And Weight Sensor (Load Cell) Sujiwa, Akbar; Marta, Bayu Tirta; Afif Nuril Musthofa
BEST Vol 6 No 1 (2024): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol6.no1.8822

Abstract

Infant development and growth at the age of 0 to 1 year. Babies are easily affected by malnutrition or, if parents ignore the development and growth of the baby. Generally, parents will take their babies to Posyandu or Midwives to have their weight weighed and the length of the baby's body measured. At the time of measuring the baby's body weight and length still using separate and manual measurements. Therefore we need a weighing device that is able to measure the baby's weight and baby's length simultaneously. Then an "Arduino Uno-Based Baby Weight and Length Weighing Device was made by Combining the HC-SR04 Ultrasonic Sensor and the Weight Sensor (Load Cell)" to simplify the process of measuring the baby's weight and length simultaneously and recording the results of these measurements. The benefit of making this tool is that it helps parents to know the growth and development of their babies aged 0 to 1 year. And the purpose of making this tool is to measure the baby's weight and length simultaneously, which in general the process of measuring the baby's weight and length is still not automatic, and still uses analog or digital scales but there is no tool that can measure automatically and simultaneously in the process of measuring the baby's weight and length. From here we submit a research proposal in which the results of this research proposal are expected to contribute well as a first step in our research so that in the process of designing the tool it can work well and be useful for parents and medical personnel
RANCANG BANGUN ALAT MONITORING DAYA DAN PEMUTUS ALIRAN LISTRIK BAGI PELANGGAN PLN BERBASIS IoT Sagita Rochman; Afif Nuril Musthofa; Muchammad Rizky Firmansyah
BEST Vol 6 No 2 (2024): BEST (Buana Electrical Science Technology): Journal of Applied Electrical, Scienc
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol6.no2.9442

Abstract

Along with the modern Indonesian society's need for electricity consumption, the level of electricity consumption continues to increase. Electricity consumption among postpaid PLN customers with single-phase connections is often poorly regulated due to inadequate monitoring of power usage and frequent payment delays between the 1st and 20th of each month. This study involved the development of a monitoring device designed to track power usage for single-phase PLN customers. Additionally, an electricity circuit breaker was created that can be controlled remotely via the officer's smartphone. This monitoring system uses PZEM-0004T as the sensor. The voltage, current, power and energy data will be read by the sensor and then sent by the ESP8266 to the Internet of Things (IoT) based Blynk Website. This breaker tool uses a relay as an electrical circuit breaker on the customer side. With this tool, it is possible to reduce illegal use of PLN electricity and reduce the number of arrears in customer electricity bill payments to PLN.
Implementation of Face Detection Login System using Python Dwi Hastuti; Rasyida Shabihah Zukro Aini; Afif Nuril Musthofa
BEST Vol 6 No 2 (2024): BEST (Buana Electrical Science Technology): Journal of Applied Electrical, Scienc
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol6.no2.9880

Abstract

Traditional authentication methods, primarily relying on passwords, face several critical challenges. Users often choose weak passwords, reuse them across multiple platforms, or struggle to remember complex combinations, leading to potential security vulnerabilities. As cybersecurity threats continue to evolve, traditional password-based authentication mechanisms have proven increasingly vulnerable to various attacks. Face detection-based login systems have emerged as a promising alternative, offering a balance between security and user convenience. This paper provides a detailed examination of implementing face detection-based login systems, focusing on using Python programming language. The research highlights both the advantages and potential vulnerabilities of such systems while proposing mitigation strategies for enhanced security.    
Co-Authors Aini, Rasyida Shabihah Zukro Akbar Sujiwa DWI HASTUTI Marta, Bayu Tirta Muchammad Rizky Firmansyah Sagita Rochman