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All Journal MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Majalah Teknik Industri
Julianti Habibuddin
Politeknik ATI Makassar
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Automatic Mist Sprayer for Oyster Mushroom Cultivation Using Thingspeak IoT Platform and R Analytical Tool Julianti Habibuddin; Taufik Muchtar; Muhammad Fadli Azis; Muh. Rivaldi Sasmita
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 2 (2023): 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.v5i2.241

Abstract

In mushroom greenhouses at IKM Simbang Maros, watering is currently done manually using a hose and scheduled twice daily, without considering the optimal temperature and humidity for mushroom growth. This study aims to develop an automatic watering system for oyster mushroom cultivation using a DHT22 sensor to monitor temperature and humidity. The system is equipped with a NodeMCU ESP32 microcontroller and a mist sprayer, triggered by a relay to activate the water pump. An IoT platform using Thingspeak allows farmers to monitor temperature and humidity data in real-time on their smartphones. In a real case study, the device effectively maintained optimal humidity levels for mushroom growth, with the pump activating when humidity was below 85%. Data from 10 observations showed that the pump was active for 7 times. Data processing using R Studio showed the system's ability to stabilize humidity levels. The proposed system could help farmers optimize mushroom growth and reduce the labor required for manual watering.
Rancang Bangun Perangkat Virtual Reality (VR) Untuk Proses Commissioning Peralatan Workshop Manufaktur Yuriadi; Zuingli Santo Bandaso; Julianti Habibuddin
Majalah Teknik Industri Vol 28 No 1 (2020): Majalah Teknik Industri Juni 2020
Publisher : Unit Penelitian dan Pengabdian Masyarakat (UPPM) Politeknik ATI Makassar

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Abstract

Virtual Reality (VR) adalah teknologi yang memungkinkan pengguna berinteraksi dengan lingkungan simulasi komputer. Teknologi VR umumnya digunakan dalam suatu bidang simulasi yang unik, seperti pada setiap bidang pekerjaan yang membutuhkan sikap kehati-hatian dalam bekerja atau pada proses commissioning peralatan industri manufaktur. Penelitian ini bertujuan untuk mengembangkan perangkat keras dan perangkat lunak simulasi commissioning mesin pada workshop manufaktur. Perangkat keras dan lunak pada sistem ini terdiri dari atas perangkat headset atau headsetyang dibuat dengan menggunakan printer 3D. Hasil pembuatan perangkat keras dan lunak ini berupa peralatan virtual reality dengan konten visualisasi tiga dimensi dari bagian-bagian mesin yang ada pada workshop manufaktur, beserta petunjuk comissioning dan cara kerjanya. Proses ini diharapkan akan membantu operator pada workshop manufaktur dalam mengambil keputusan sebelum dilakukannya instalasi mesin untuk menghindari risiko kegagalan dan menjaga keamanan peralatan dan lingkungan workshop.
Optimalisasi Timbangan Beras Otomatis menggunakan Arduino IoT Cloud Julianti Habibuddin; Muhammad Alif; Ruslan; Renaldi Halimsyah; Muhammad Ariyanto Arifuddin
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 4 (2023): Jurnal Fokus Elektroda Vol 8 No 4 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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Abstract

This research aims to optimize an automatic rice weighing system by utilizing iot (internet of things) technology through the arduino iot cloud platform. Previous research had designed a digital scale using an lcd touchscreen as input and an arduino uno as the microcontroller. This study takes an approach to optimize the microcontroller by utilizing the nodemcu esp32, capable of connecting to the iot platform, namely the arduino iot cloud. The hardware setup comprises an lcd touchscreen, a load cell sensor, the node mcu esp32 microcontroller, and a servo. The software component requires an internet connection to display the measurement results on the arduino iot cloud platform. The measurement results on Arduino IoT Cloud for a weight of 1000 grams show an average accuracy of 99.10%. Meanwhile, for a weight of 2000 grams, the average accuracy is 99.63%, and for a weight of 3000 grams, the average accuracy is 99.87%.
Co-Authors Muh. Rivaldi Sasmita Muhammad Alif Muhammad Ariyanto Arifuddin Muhammad Fadli Azis Renaldi Halimsyah Ruslan Taufik Muchtar Yuriadi Zuingli Santo Bandaso