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Journal : Jurnal Informatika dan Teknik Elektro Terapan

RANCANG BANGUN ALAT PEMOTONG DAUN BAWANG BERBASIS INTERNET OF THINGS (IOT) Maharani, Luftya; Sarjana, Sarjana; Zefi, Suzan
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5357

Abstract

The utilization of Internet of Things (IoT) technology in the agriculture sector continues to evolve, including in the automation of agricultural processing tools. This research aims to design and develop an IoT-based scallion cutting tool integrated with the Blynk application, which functions to control and manage the device in real-time. This tool is equipped with key components such as a cutting motor, sensors, and a microcontroller, all controlled via the IoT network. The Blynk application allows users to adjust cutting parameters, such as motor speed, and receive information about the tool's status. Testing has shown that this tool can operate automatically according to settings provided through the Blynk app, producing consistent scallion cuts that meet the requirements. The implementation of this technology is expected to enhance efficiency, reduce manual labor and time, and improve the productivity and quality of scallion cutting. With the integration of IoT and the Blynk application, this scallion cutting tool offers an innovative solution to support the modernization of the agricultural industry, particularly in scallion processin.
RANCANG BANGUN PENDETEKSI DEHIDRASI MANUSIA BERDASARKAN WARNA URINE BERBASIS INTERNET OF THINGS (IOT) Picara, Deya tasya; Zefi, Suzan; Rose, Martinus Mujur
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5329

Abstract

In the current technological era, the Internet of Things (IoT) provides creative fixes for numerous health problems. The purpose of this research is to design and construct a urine color analysis system that uses the Internet of Things to identify human dehydration. Urine color is precisely measured and analyzed by the system using color and pH sensors. Data is then sent over an internet connection to a cloud-based platform.The urine color analysis results will be compared to accepted medical standards as part of the processing of the gathered data to ascertain the user's bodily hydration level. This system has a Blynk app-based user interface that offers proper hydration recommendations and real-time information about the user's level of hydration. It is anticipated that by putting this system in place, users will be able to efficiently check their level of hydration and take precautions to avoid being dehydrated. This research offers a more approachable and cost-effective method of managing one's own health in addition to aiding in the development of Internet of Things-based health technology.
RANCANG BANGUN MODEL MONITORING UNDERGROUND TANK SPBU DENGAN MENGGUNAKAN SENSOR ULTRASONIK BERBASIS INTERNET OF THINGS (IOT) Sari, Sabrina Rianda; Halimatussa'diyah, RA; Zefi, Suzan; Duri, Rapiko
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5372

Abstract

The management of underground tanks at gas stations is a crucial aspect to ensure the availability and safety of fuel. However, conventional methods for monitoring fuel levels in tanks are often ineffective and prone to human error. To address this issue, this research designs and develops a model for an underground tank monitoring system using ultrasonic sensors Internet of Things (IoT) integrated technology. The ultrasonic sensors are used to measure the fuel level in the tank in real-time, and this data is then transmitted to an IoT platform for analysis and monitoring through a user interface that can be accessed remotely. This system is expected to enhance operational efficiency and safety in the management of underground tanks at gas stations and provide early warnings in the event of abnormal conditions, such as leaks or excessively low fuel levels. The implementation results demonstrate that this system can provide accurate and reliable information, enabling better decision-making in fuel stock management