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All Journal JURNAL INTEGRASI Journal of Applied Electrical Engineering Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam CARE: Jurnal Pengabdian Multi Disiplin
Wicaksono, Muhammad Jaka Wimbang
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Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering Other

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Journal : Journal of Applied Electrical Engineering

 1 
Penerapan Computer Vision untuk Deteksi Warna dan Ukuran Buah secara Real-Time pada Alat Penyortir Buah Aryeni, Illa; Maulidiah, Hana Mutialif; Toar, Handri; Wicaksono, Muhammad Jaka Wimbang; Gunawan, Indra
Journal of Applied Electrical Engineering Vol 7 No 2 (2023): JAEE, December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v7i2.6740

Abstract

Computer vision aims to build a computer that can see like humans. Humans can immediately recognize and define an object after seeing and recording an object. This is different from computer visual systems, where camera recordings cannot be directly translated, defined, and recognized by computers, therefore digital image processing is needed first. In this study, computer vision technology was used to detect fruit based on color, size, and shape in real time. The fruit is placed on a conveyor belt, then the fruit object is captured by a webcam using object tracking. Computer vision algorithms and programs can detect fruit objects and recognize ripe and unripe fruits by converting RGB (Red, Green, Blue) colors into HSV (Hue, Saturation, Value) for the color segmentation process. After the detection process, a selector is placed at the end of the conveyor which is used to sort the fruit into 2 categories, namely ripe and unripe. In addition, this study also determines the size and shape of the fruit. From design, realization, and testing, it was found that the success rate of detecting ripe fruit was 97.33% and unripe fruit was 93.33%. To get maximum results, it needs to be supported by room lighting settings that are kept constant.
Sistem Monitoring Tambak Ikan berbasis Internet of Things menggunakan ESP32 Al attas, Said Usman Sulaiman; Wicaksono, Muhammad Jaka Wimbang; Futra, Asrizal Deri; Diono, Diono; Aryeni, Illa; Sani, Abdullah
Journal of Applied Electrical Engineering Vol. 8 No. 2 (2024): JAEE, December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i2.8742

Abstract

Upredictable natural conditions cause fish larvae to die because they cannot adapt to these conditions, leading to potential harvest failure. Changes in natural conditions due to weather result in unstable pH levels in pond water. Fish Farmers traditionally attempt to improve water pH quality using by manual pH meters, but This method has limitations if not monitored periodically. Based on this problems, researchers plan to develop a water acidity measurement tool using an IoT-based E4502C pH sensor to help fish farmers monitor pond pH levels through their smartphones. Testing the pH sensor showed an average error rate of 4.09% at pH 4, 2.47% at pH 7, and 6.31% at pH 9. More accurate results can be achieved by collecting more data and processing it to determine the average values before displaying them on the user interface.
Sistem Sistem Monitoring Telemedis untuk Pengukuran Tekanan Darah Berbasis Internet of Things (IoT) menggunakan MPX5700DP dan Jaringan LoRaWAN Gusnam, Mu'thiana; Oktani, Dessy; Mahdaliza, Rahmi; Kamarudin, Kamarudin; Wicaksono, Muhammad Jaka Wimbang; Pasaribu, Cindy Kristine; Hutagaol, Rudcayanti; Ferdinan, Wisnu
Journal of Applied Electrical Engineering Vol. 8 No. 2 (2024): JAEE, December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i2.8853

Abstract

The telemedicine monitoring system enables independent blood pressure monitoring that can be conducted by patients in real-time and remotely monitored by medical professionals through an Android application and Firebase web platform. This research aims to monitor blood pressure measurements using the MPX5700DP sensor connected to a LoRaWAN network. The results show that this device is capable of transmitting blood pressure values with high accuracy, with the systolic value having an accuracy of 97.5% and an error percentage of 2.5%, and the diastolic blood pressure showing an accuracy of 96.8% and an error percentage of 3.2%. The IoT-based telemedicine system for blood pressure monitoring with LoRa technology has the potential to enhance early detection and management of hypertension, as well as provide better access for both patients and healthcare professionals.
Co-Authors Abdullah Sani Abrajano, Muhamad Shafiq Al attas, Said Usman Sulaiman Amiruddin Amiruddin Aryeni, Illa BUDIANA, BUDIANA Daniel Sutopo Pamungkas, Daniel Sutopo Darmoyono, Aditya Gautama Destiana, Rizka Diono, Diono Diputra, Muhammad Naufal Airlangga Dzulfiqar, Mohamad Alif Ferdinan, Wisnu Firdaus, Fadli Fitri, Nurhayati Futra, Asrizal Deri Ghozali, Muhammad Syafei Ginting, Pedro Imanuel Gozali, Muhammad Syafei Gusnam, Mu'thiana Gusnam, Mu’thiana Handri Toar Hasnira Hasnira, Hasnira Hutagaol, Rudcayanti Jefiza, Adlian Kamarudin Kamarudin Lubis, Eka Mutia Mahdaliza, Rahmi Maulidiah, Hana Mutialif Muhammad Zaenuddin Mulyadi, Indra Hardian Nugraha, Danu Satia Oktani, Dessy Pasaribu, Cindy Kristine Setiawan, A. Rido Syafi’i, Ahmad Syahputra, Rezza Eka Veithzal Rivai Zainal Wulandari, Febrina Yangu, Juliasyah Zulmi, Muhammad Afif