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All Journal Al-Ijtima`i: International Journal of Government and Social Science JURNAL INTEGRASI Techne : Jurnal Ilmiah Elektroteknika Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Sosial Humaniora Sigli Journal of Applied Electrical Engineering Jurnal Real Riset Al-Mizan: Jurnal Hukum Islam dan Ekonomi Syariah Arus Jurnal Sosial dan Humaniora AL-MULTAZIM : Jurnal Manajemen Bisnis Syariah Khazanah : Journal of Islamic Studies Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced KIRANA : Social Science Journal Jurnal El Rayyan: Jurnal Perbankan Syariah
Abdullah Sani
UIN Ar-Raniry Banda Aceh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Journal of Applied Electrical Engineering

 1 
Prototype for Forest Fire Early Detection System Using the MQTT Method Simanjuntak, Frisca Tryandayani; Sani, Abdullah; Maulidiah, Hana Mutialif; Puspita, Widya Rika; Budiana, Budiana
Journal of Applied Electrical Engineering Vol. 8 No. 1 (2024): JAEE, June 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i1.7544

Abstract

The case of forest fires in Batam is one of the natural disasters that often occurs both caused by nature and human error. These forest fires certainly damage forest ecosystems. The condition of the vast forest makes it difficult to monitor the condition of the forest to find the location of the fire. In this study, the authors designed a forest fire early detection system using the concept of Wireless Sensor Network. The system is designed using the MQTT protocol in its data transmission communications. MQTT is a communication protocol that uses the concept of publish-subscribe. Fire information sent by telegram. It is hoped that with this research, it will be able to detect early fires that occur in the forest and be able to become an initial concept for further development. From the test results, it was found that the MQTT protocol sends data well, with subscribers using QoS 0 services having an average delay of 0.050 s, an average throughput of 31355 bps and packet loss of 0%. Subscribers who use QoS 1 services have an average delay of 0.064 s, an average throuhput of 30683 bps, and a packet loss of 0%. The system is able to send information notifications to telegram well. Keywords: Forest Fires, Wireless Sensor Network, MQTT, and Sensor Node
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.
Identification Food Nutrition and Weight Prediction using Image Processing Sani, Abdullah; Silitonga, Ricky; Mishthafiyatillah, Mishthafiyatillah; Lalu Kaisar Wisnu Kita; Ika Karlina Laila Nur Suciningtyas; Ririn Humaera; Budiana , Budiana
Journal of Applied Electrical Engineering Vol. 9 No. 1 (2025): JAEE, June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i1.9492

Abstract

Obesity is a global issue with rising prevalence each year, driven partly by excess nutrient and calorie intake. Identifying nutrient content in food is vital to prevent obesity. This research employs image processing, specifically the YOLO (You Only Look Once) algorithm, to classify and identify fruits and vegetables quickly and accurately. YOLO is advantageous for its speed and ability to classify multiple objects simultaneously. The goal is to develop a system that recognizes, classifies, and predicts the weight of fruits and vegetables, providing nutritional and calorie information. Tests showed that the system accurately detects produce under various lighting conditions—achieving 100% accuracy with additional ring light (600–650 lux) and 99.2% without extra lighting. Beyond object detection, the system predicts weight with an average error of 5.6% when illuminated. This technology has the potential to aid users in monitoring nutritional intake by providing reliable identification and calorie data, contributing to obesity prevention efforts.
Co-Authors Adelia, Syahfira Ahmad Afandi Al attas, Said Usman Sulaiman Al-Qardhawy, M. Yusuf Anam, Khurul Andi Rasyid, Mhd Aryeni, Illa Budiana , Budiana BUDIANA, BUDIANA Darmoyono, Aditya Gautama Diono, Diono Dzulfiqar, Mohamad Alif Futra, Asrizal Deri Gusnam, Mu'thiana Hasnira Hasnira, Hasnira Hendriyanto Hendriyanto Hendriyanto Ika Karlina Laila Nur Suciningtyas Isabella Isabella Jaudi, La Judijanto, Loso Kamarudin Kamarudin Lalu Kaisar Wisnu Kita M. Ridlwan Hambali Mahdaliza, Rahmi Maulidiah, Hana Mutialif Mishthafiyatillah, Mishthafiyatillah Muhibbuthabry Muhibbuthabry Mulya Anjani, Tira Nurul Hasanah Nyak Umar, Mukhsin Oktani, Dessy Perkasa Alam, Anjur Puspita, Widya Rika Ramadhan, Rahmat Ersya Rasyid, M. Nur Ririn Humaera Ruhliandini, Putri Zafira Silitonga, Ricky Simanjuntak, Frisca Tryandayani Solapari, Nuryati Umar , Mukhsin Nyak Wicaksono, Muhammad Jaka Wimbang Yusiran