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All Journal Journal of Mechanical and Electrical Technology Teknika
Mubarok, Muhammad Aziz Nur
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering

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MONITORING DAYA PADA KURSI RODA CERDAS Mubarok, Muhammad Aziz Nur; Suhendar, Suhendar; Anam, Khairul
Teknika Vol 9 No 1 (2024): April 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v9i1.321

Abstract

In an era of increasingly advanced technology, innovation in the field of sustainability and ease of mobility has become the main focus for improving the quality of life and independence for various groups of society, including people with disabilities. Intelligent wheelchairs are one example of a solution that has emerged to increase mobility and independence for savvy wheelchair users. This research aims to monitor the power of bright chairs to understand power consumption and energy use in developing intelligent wheelchairs. This test uses percent error data. The average results from calculating percent error data are relatively low. So, the current and voltage sensors are suitable for use in this percent error test. Tests were carried out with load and without load. In testing, the voltage and current required are the same. However, the speed produced by wheelchairs is different. When testing with a load, the wheelchair's speed is relatively slow. Meanwhile, when testing without load, the wheelchair can go fast. The power released at Pulse Width Modulation (PWM) 50, 100, and 255, respectively, has an average value of 23.37 W, 36.47 W, and 43.61 W. This data has different graphic results. The higher the PWM value, the greater the power released. Apart from that, the faster the wheelchair rotates, the more wasteful the battery is.
Rancang Bangun Sistem Sortir Telur Puyuh Berbasis Internet of Things Mubarok, Muhammad Aziz Nur; Irwanto, Irwanto; Wardoyo, Siswo
Metrotech (Journal of Mechanical and Electrical Technology) Vol 4 No 3: September 2025
Publisher : Fakultas Sains dan Teknologi, UNIRA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/metrotech.v4i3.7323

Abstract

Proses penyortiran telur puyuh secara manual sering kali menghadapi kendala, terutama dalam membedakan kualitas telur berdasarkan bintik-bintik pada cangkangnya. Hal ini membuat proses tersebut menjadi kurang efektif dan cenderung tidak akurat. Untuk mengatasi tantangan ini, dikembangkanlah sebuah sistem penyortiran telur puyuh berbasis Internet of Things (IoT). Sistem ini dirancang agar dapat memantau dan mengelola parameter seperti berat, kualitas, dan kuantitas telur secara real-time dari jarak jauh melalui perangkat lunak Blynk. Sistem ini menggunakan kombinasi mikrokontroler ESP32 dengan sensor warna TCS3200, load cell, dan sensor LDR. Dengan integrasi berbagai sensor tersebut, perangkat mampu mendeteksi berat, kondisi permukaan, serta jumlah telur yang diuji. Dalam pengujian terhadap 30 butir telur, sistem berhasil mengidentifikasi 18 telur sebagai telur baik, 7 sebagai telur buruk, dan 5 telur tidak terdeteksi. Berdasarkan hasil tersebut, tingkat keberhasilan sistem dalam mendeteksi kualitas telur puyuh mencapai 83,33%. Capaian ini menunjukkan bahwa sistem penyortiran berbasis IoT ini cukup efektif untuk diterapkan dalam proses seleksi telur secara otomatis.
Co-Authors Anam, M. Khairul Irwanto Irwanto Siswo Wardoyo Suhendar Suhendar, Suhendar