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All Journal JURNAL INTEGRASI Journal of Applied Electrical Engineering Community Development Journal: Jurnal Pengabdian Masyarakat CARE: Jurnal Pengabdian Multi Disiplin Journal of Sustainable Community Development Jurnal Pemikiran dan Pengembangan Pembelajaran
Diono, Diono
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Arts Humanities Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Public Health Other

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Journal : Journal of Applied Electrical Engineering

 1 
Sistem Kendali Pintu Air Otomatis Menggunakan Metode Fuzzy Mamdani Gozali, Muhammad Syafei; Gautama, Aditya; Jefiza, Adlian; Diono, Diono; Rahmaini, Vika; Amri, Juhrial
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.v8i2.7913

Abstract

The research carried out developed a Fuzzy Mamdani-based irrigation sluice control system. The prototype built consists of an irrigation canal which is limited by a sluice gate. In the electronic circuit, ESP32 is used as a controller which is equipped with an ultrasonic sensor to detect the water level which is installed on the supply side and irrigation channel respectively. The sluice gate is moved using a DC motor. Fuzzy input consists of the height of the supply water level and irrigation channel water level as well as planting or harvest time, with a combination of 18 fuzzy rules. The results of level sensor testing carried out on four height targets with 80 trials, obtained an average percentage error for each sensor of 0.3% and 0.2% with an accuracy of 99.7% and 99.8%. The results of testing the sluice gate with a fuzzy system have 100% conformity with the condition of the water gate opening and closing with the level and time of planting and harvesting.
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.
Analisis Efektivitas Papan Reklame Berbasis IoT Dengan Metode Faster R-CNN Naibaho, Adventus; Kamarudin, Kamarudin; Indra Hardian Mulyadi; Diono, Diono
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.v9i1.9473

Abstract

Papan reklame merupakan media untuk mempublikasikan produk atau jasa, namun efektivitasnya sulit diukur karena tidak diketahui jumlah orang yang melihatnya. Oleh karena itu, penelitian ini mengembangkan sistem berbasis metode Faster R-CNN untuk mendeteksi jumlah viewers papan reklame. Sistem ini bertujuan membantu pemakai jasa iklan dalam menilai efektivitas pemasangan iklan serta memberi nilai tambah bagi penyedia jasa dengan menyediakan data jumlah viewers sebagai daya tarik layanan. Hasil pengujian menunjukkan sistem mampu mendeteksi wajah dengan akurasi 56,74%, motor 76,47%, dan mobil 93,94%. Beberapa faktor yang mempengaruhi akurasi deteksi antara lain pencahayaan, jarak, resolusi kamera, serta kesesuaian dataset dengan lingkungan implementasi. Dengan adanya sistem ini, pemakai jasa dapat menentukan lokasi pemasangan iklan yang lebih strategis berdasarkan data real-time, sementara penyedia jasa dapat meningkatkan daya tarik layanan pemasangan iklan dengan data jumlah viewers sebagai nilai jual. Teknologi ini diharapkan mampu meningkatkan efektivitas pemasaran melalui papan reklame secara lebih akurat, efisien, dan terukur.
Co-Authors Abdullah Sani Al attas, Said Usman Sulaiman Amri, Juhrial Aryeni, Illa Assegaf, Iqchan BUDIANA, BUDIANA Dalimunthe, Juwita Marwah Darmoyono, Aditya Gautama Destiana, Rizka Deviana, Yesi Dwijotomo, Abdurahman Dzulfiqar, Mohamad Alif Fajri, Nuzul Febri Yanti Firdaus, Fadli Futra, Asrizal Deri Gautama, Aditya Ghozali, Muhammad Syafei Gozali, Muhammad Syafei Gusnam, Mu'thiana Hardi, Moh. Nabil Khairy Harlan, Fandy Bestario Hasnira Hasnira, Hasnira Jefiza, Adlian Kamarudin Kamarudin Mahdaliza, Rahmi Mahmud, Aqil Fadhurahman Marpaung, Roy Hitmen Maulidiah, Hana Mutialif Muhammad Syafei Gozali Mulyadi, Indra Hardian Naibaho, Adventus Nur Suciningtyas, Ika Karlina Laila Oktani, Dessy Prayudha, Dimas Rama Puspita, Widya Rika Putra, Irwanto Zarma Rahmaini, Vika Rahmana, Henry Siregar, Lindawani Wahyuningsih, Asriani Rosalina Wicaksono, M. Jaka Wimbang Wicaksono, Muhammad Jaka Wimbang Winandari, Rahmi Agustin Wulandari, Febrina Yangu, Juliansah Yangu, Juliansyah Yangu, Juliasyah Yohannes Ridho Soru