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All Journal International Journal of Electrical and Computer Engineering Journal JCONES ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO E-Dimas: Jurnal Pengabdian kepada Masyarakat JOIV : International Journal on Informatics Visualization InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Indonesian Journal of Electrical Engineering and Computer Science Madani : Indonesian Journal of Civil Society JMK Jurnal Manajemen dan Kewirausahaan Nusantara Science and Technology Proceedings Jurnal Pengabdian Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Jurnal Abdimas
Helmy Widyantara
Institut Teknologi Telkom Surabaya
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Journal : International Journal of Electrical and Computer Engineering

 1 
Neural Network for Electronic Nose using Field Programmable Analog Arrays Helmy Widyantara; Muhammad Rivai; Djoko Purwanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 2, No 6: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.801 KB)

Abstract

Electronic nose is a device detecting odors which is designed to resemblethe ability of the human nose, usually applied to the robot. The process ofidentification of the electronic nose will run into a problem when the gaswhich is detected has the same chemical element. Misidentification due tothe similarity of chemical properties of gases is possible; it can be solvedusing neural network algorithms. The attendance of Field ProgrammableAnalog Array (FPAA) enables the design and implementation of ananalog neural network, while the advantage of analog neural networkwhich is an input signal from the sensor can be processed directly by theFPAA without having to be converted into a digital signal. Direct analogsignal process can reduce errors due to conversion and speed up thecomputing process. The small size and low power usage of FPAA are verysuitable when it is used for the implementation of the electronic nose thatwill be applied to the robot. From this study, it was shown that theimplementation of analog neural network in FPAA can support theperformance of electronic nose in terms of flexibility (resource componentrequired), speed, and power consumption. To build an analog neuralnetwork with three input nodes and two output nodes only need twopieces of Configurable Analog Block (CAB), of the four provided by theFPAA. Analog neural network construction has a speed of the process0.375 μs, and requires only 59 ± 18mW resources.DOI:http://dx.doi.org/10.11591/ijece.v2i6.1501
Internet of things-based smart control and comfort classification system for broiler chicken coops using k-nearest neighbor algorithm Amiroh, Khodijah; Widyantara, Helmy; Hariyanto, Muhammad Dwi
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i2.pp1039-1050

Abstract

The poultry industry increasingly relies on environmental automation to improve broiler chicken welfare and productivity. Prior studies have implemented threshold-based systems to control coop conditions, typically activating actuators based on fixed values of temperature or humidity. However, such systems lack adaptability to dynamic environmental interactions and often result in inefficient energy use and overactivation. This study proposes a novel low-cost internet of things (IoT)-based smart poultry coop system that combines real-time environmental sensing with comfort classification using the k-nearest neighbor (KNN) algorithm. The system monitors temperature, humidity, and ammonia levels through affordable sensors integrated with an ESP32 microcontroller, then transmits data via message queuing telemetry transport (MQTT) to a remote server for classification and control decision-making. Control logic is applied to activate fans, heating lamps, or humidifiers accordingly. Evaluation on a mini coop prototype demonstrated a classification accuracy of 92.2% and a 34% reduction in actuator overactivation compared to threshold-based systems. Environmental stability improved by 23%, and energy usage decreased by 12.6%. The system also features user interfaces via Telegram and Blynk, proven intuitive through informal testing. These results validate the feasibility of integrating machine learning into small-scale poultry environments, offering an intelligent, scalable, and user-friendly solution that outperforms traditional methods.
Co-Authors Achmad Yanu Aliffianto Adiputra, Dimas Aditya Prima Suparno, Aditya Prima Afandi, Mas Aly Andi Divangga Pratama , Moch. Andrew Brian Osmond Anifatul Faricha Aufa Ulinuha, Panji Aulia Rahma Annisa Axel Danu Pramudita Basuki Rahmat Bayu Dadang Pribadi Berlian Rahmy Lidiawaty Bernadus Anggo Seno AjiAji Chokoh Setyo Utomo Dewa Nusantara Murdoko Putra Djoko Purwanto Dominggo Bayu Baskara Dwi Edi Setyawan DWI SURYANTO Dwi Wahyu Saputra FADHLAN, FATHURROZAQ Farah Zakiyah Rahmanti Fuady, Ahmad Ihsan Galih Kusuma Wardana Harianto Harianto Hariyanto Hariyanto Hariyanto, Muhammad Dwi Hendra Kusuma Hendy Briantoro Ignatia Indreswari Ira Puspasari Isa Hafidz Khodijah Amiroh Ma'ruf Firmansyah, Muhammad Madha Christian Wibowo Madha Christrian W. Minto Waluyo Moh. Yani Mohamad Irwan Afandi Mohammad Yanuar Hariyawan Montolalu, Billy Muhammad Adib Kamali Muhammad Iqbal Maulana Muhammad Rafi Irzam Muhammad Rivai Muhammad Rivai Oktavia Ayu Permata Pambudi, Sandhi Yuda Pauladie Susanto Philip Tobianto Daely Purba Daru Kusuma Purnama Anaking Purnama Anaking Rachmawati Oktaria Mardiyanto, Rachmawati Oktaria Ratih Kesuma Dewi Reynanda Shaquille Purwanto Reza Alauddin Albanna Ristanti Akseptori Rizaldy Febry Nugraha Rochmanto, Raditya Artha Seno Adi Putra Shochibah Yatimatul Asmak, Shochibah Yatimatul Sukamto, Ika Sumiyarsi Sukma Ardihantoko, Irdani Therzian Richard Perkasa Tjahyadi, Nathanael Toto Alfian Wahyuono, Toto Alfian Tri Arief Sardjono Tuhu Agung Rachmanto Ubaidilah Umar Ubaidillah Umar, Ubaidillah Wahyu Andy Prastyabudi Wali Satria Bahari Johan, Ahmad Yanuhar Prabowo Yupit Sudianto