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All Journal International Journal of Electrical and Computer Engineering Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Abdimas
Hariyanto, Muhammad Dwi
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Computer Science & IT Electrical & Electronics Engineering Social Sciences Other

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Pembuatan smart urban farming berbasis internet of things untuk kelompok tani Kamali, Muhammad Adib; Amiroh, Khodijah; Widyantara, Helmy; Hariyanto, Muhammad Dwi
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 6 No 2 (2023)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v6i2.19289

Abstract

Masyarakat yang tergabung dalam kelompok tani di bawah binaan Dinas ketahanan pangan dan pertanian (DKPP) surabaya seluruhnya bertani secara konvensional. Pertanian di wilayah perkotaan memiliki tantangan tersendiri, seperti lahan terbatas, kualitas tanah yang buruk, dan kekurangan air. Oleh karena itu, dibutuhkan solusi yang inovatif untuk meningkatkan produksi pertanian di wilayah perkotaan. Kegiatan pengabdian masyarakat ini ditujukan untuk membantu DKPP membina kelompok tani untuk meningkatkan kualitas hasil panen dan efisiensi dalam menjalankan proses pertanian. Metode kegiatan ini disusun berdasarkan Participatory Action Research (PAR) untuk menghasilkan pengetahuan yang berguna dan praktis. Tahapan pelaksanaan kegiata terdiri dari 4 tahap yaitu identifikasi masalah melalui focus group discussion (FGD), perangcangan alat, pelatihan serta serah terima alat, dan evaluasi. Hasil dari pengabdian ini menunjukkan masyarakat kelompok tani dapat mempertahankan kualitas media tanam, yang sangat penting untuk pertumbuhan dan perkembangan tanaman dengan lebih mudah dan efisien. Dengan adanya sistem smart farming yang telah dihasilkan, diharapkan dapat meningkatkan efisiensi dan produktivitas pertanian, sehingga dapat meningkatkan ketersediaan pangan dan kesejahteraan masyarakat.
Implementation of Internet of Things-based Water Monitoring System in Vertical System based Crab Farming Kusuma, Purba Daru; Widyantara, Helmy; Hariyanto, Muhammad Dwi; Putra, Seno Adi; Osmond, Andrew Brian
Jurnal Abdimas Vol. 29 No. 1 (2025): June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/abdimas.v29i1.26934

Abstract

Crab is one of protein resource with high economic value. The vertical system is a crab farming method that provides several advantages including increasing space utility, minimizing crab mortality that is affected by cannibalism, and improving precision farming. As a continuation of 2024 research under the strategic collaboration (Katalis) scheme, a community service project has been conducted by implementing the Internet of Things (IoT) based water monitoring system to support precision farming in vertical system-based crab farming. Surabaya crab supermarket has become the partner in this community service. The objective of this activity is to implement this prototype in the real crab farming environment to investigate its effectiveness. This activity also gives experience for students at Telkom University that are involved in this project of implementing the developed precision farming system in the real environment despite the laboratories scale environment. Moreover, this project is also important to give insight from the crab farmer regarding the real problems that occur in crab farming. In the future, the system can be expanded by adding more features including the machine learning method to give predictions regarding the water quality and the growth of the crabs.
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 Andrew Brian Osmond Helmy Widyantara Khodijah Amiroh Muhammad Adib Kamali Purba Daru Kusuma Seno Adi Putra