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All Journal Jurnal Teliska PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Students´ Journal of Economic and Management Jurnal Informatika dan Teknik Elektro Terapan Annual Research Seminar PROtek : Jurnal Ilmiah Teknik Elektro Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Agribisnis dan Peternakan JURNAL SURYA ENERGY Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science bit-Tech Respati MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering JiTEKH (Jurnal Ilmiah Teknologi Harapan) J-SAKTI (Jurnal Sains Komputer dan Informatika) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Standardisasi
Sarjana Sarjana
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Veterinary Other

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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.
Monitoring Of Household Electricity Usage Based On The Internet Of Things Fatin, Muhammad Hanif; Nasron, Nasron; Sarjana, Sarjana; Saputra, Muhammad Renaldy
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 2 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i2.460

Abstract

The increasing demand for energy efficiency in the digital era has accelerated the adoption of Internet of Things (IoT)-based technologies in household electricity management. This study presents the design and implementation of an IoT-based real-time electricity monitoring system using the ESP32 microcontroller and PZEM-004T sensor, integrated with the Blynk application for remote access. The system measures voltage, current, power, energy consumption, and cost, displaying data on both an LCD and a mobile interface. Experimental testing involved household appliances such as fans and rice cookers under individual and combined usage, with measurements taken at 15-minute intervals. The results demonstrated strong agreement between theoretical calculations and real-time data, with the measured values slightly higher due to the dynamic nature of electrical loads. The system achieved a low average error rate of 0.17%, with a maximum error of 0.30%. These findings confirm the accuracy and reliability of the system, supporting its potential for enhancing user awareness, improving billing precision, and contributing to sustainable energy use in smart home applications.
Co-Authors Abdul Choliq Ade Silvia Handayani Adewasti, Adewasti Agatha, Adelia Agus Hermawan Al-Kausar, Jefri Ambarsari, Indri Ambarsari, lndrie Aryanti Aryanti Br Ginting, Nurul Devani Diraputra, M Yoga Azto Emilia Hesti Endri, Jon ermawan, Agus H Fatin, Muhammad Hanif Forita Dyah Arianti, Forita Dyah Handayani, Alfina Hanung Adi Nugroho Indrie ambarsari Joko Pramono JUNAIDI Junaidi Junaidi Komalawati, Komalawati Lindawati Lindawati Liza, Risko Maharani, Luftya Meinarti Norma Muhammad Arifin Nasron Nasron Nurhadiva, Siti Salwa Pertiwi, Miranti D. Qanytah Qanytah Rabiah, Nur Nabila Ritonga, Din Aswan Amran Saputra, Muhammad Renaldy Seno Basuki Setiawan, Muhammad Imam Sholihin Sholihin Sopian Soim, Sopian suzan zefi Wahyuni, Devi Widowati, Eny Hary Yulfitra, Yulfitra Zarkasi, Muhammad Irvan