skip to main content

Sistem pemantau iklim mikro pada kandang ayam pedaging tertutup berbasis internet of things

Micro climate monitoring system in closed broiler cages based on the internet of things

Department of Computer Engineering, Universitas Nadhlatul Ulama Yogyakarta, Indonesia

Received: 22 Sep 2019; Revised: 10 Feb 2020; Accepted: 14 Feb 2020; Available online: 15 Feb 2020; Published: 30 Apr 2020.
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract
Smart agriculture has an emerged concept by using IoT sensors capable of providing various information about their field condition and conducting environmental monitoring to improve the yield of efficient crops. This research aims to develop a microclimate monitoring system in a closed house. The microclimate being monitored is the effective temperature, which is the temperature felt by broilers at that time in a fast area. In this research, IoT has been implemented using WeMos D1 R32 by sending sensor data to observe the effective temperature parameters as actual temperature, humidity, and wind speed into an MQTT cloud server. Microclimate control in the cage is based on effective temperature. The data can be displayed on a 16x4 LCD screen and accessed via an Android smartphone from anywhere and at any time.

Note: This article has supplementary file(s).

Fulltext View|Download |  Data Set
Tabel Chilling Ayam Broiler RH40 to RH80
Subject
Type Data Set
  Download (48KB)    Indexing metadata
Email colleagues
Keywords: monitoring system; closed house; effective temperature; smart agriculture; crops
Funding: DRPM Ditjen Penguatan Risbang termasuk BOPTN melalui LLDIKTI V;Universitas Nahdlatul Ulama Yogyakarta

Article Metrics:

  1. M. A. Abdurrahman, G. M. Gebru and T. T. Bezabih, “Sensor based automatic irrigation management system,” International Journal of Computer and Information Technology, vol. 4, no. 3, pp. 532-535, 2015
  2. T. Cao-hoang, C. N. Duy,” Environment monitoring system for agricultural application based on wireless sensor network,” in Seventh International Conference on Information Science and Technology, Da nang, Vietnam, Apr. 2017, pp. 99–102. doi: 10.1109/ICIST.2017.7926499
  3. A. Alimuddin, K. B. Seminar, I. D. M. Subrata, N. Nomura, and S. Sumiati, “Temperature control system in closed house for broilers based on ANFIS,” Telkomnika, vol. 10, no. 1, pp. 75–82, 2012. doi: 10.12928/telkomnika.v10i1.762
  4. R. Prihandanu, A. Trisanto, and Y. Yuniati, “Model sistem kandang ayam closed house otomatis menggunakan Omron Sysmac CPM1A 20-CDR-A-V1,” Electrician, vol. 9, no. 1, pp. 54–62, 2015
  5. P. Dewanto, M. Munadi, and M. Tauviqirrahman, “Development of an automatic broiler feeding system using PLC and HMI for closed house system,” American Scientific Research Journal for Engineering, Technology, and Sciences, vol. 58, no. 1, pp. 139-149, 2019
  6. S. R. Prathibha, A. Hongal, and M. P. Jyothi, “IoT based monitoring system in smart agriculture,” in International Conference on Recent Advances in Electronics and Communication Technology, Bangalore, India, Mar. 2017, pp. 81-84. doi: 10.1109/ICRAECT.2017.52
  7. J. Boobalan, V. Jacintha, J. Nagarajan, K. Thangayogesh, and S. Tamilarasu, “An IoT based agriculture monitoring system,” in 2018 International Conference on Communication and Signal Processing, Chennai, India, Apr. 2018, pp. 594–598. doi: 10.1109/ICCSP.2018.8524490
  8. R. Dagar, S. Som, and S. K. Khatri, “Smart farming – IoT in agriculture,” in 2018 International Conference on Inventive Research in Computing Applications, Coimbatore, India, Jul. 2018, pp. 1052–1056. doi: 10.1109/ICIRCA.2018.8597264
  9. F. Tong-ke, “Smart agriculture based on cloud computing and IoT," Journal of Convergence Information Technology, vol. 8, no. 2, pp. 210-216, 2013
  10. S. Millan, J. Casadesus, C. Campilio, M. J. Monino, and M. H. Preito, “Using soil moisture sensors for automated irrigation scheduling in a plum crop,” Water, vol. 11, no. 10, pp. 1-18, 2019. doi: 10.3390/w11102061
  11. P. A. Bhosale and V. V. Dixit, “Water saving-irrigation automatic agricultural controller,” International Journal of Scientific and Technology Research, vol. 1, no. 11, pp. 118-123, 2012
  12. N. Maulana, O. D. Nurhayati, and E. D. Widianto, "Perancangan sistem sensor pemonitor lingkungan berbasis jaringan sensor nirkabel," Jurnal Teknologi dan Sistem Komputer, vol. 4, no. 2, pp. 353-360, 2016. doi: 10.14710/jtsiskom.4.2.2016.353-360
  13. E. D. Widianto, A. F. Rochim, and O. D. Nurhayati, "WSN infrastructure for green campus development," in International Conference On Information Technology Systems and Innovation, Bali, Indonesia, Nov. 2015, pp. 1-5. doi: 10.1109/ICITSI.2015.7437731
  14. I. Sugriwan, A. Rachmattulah, O. Soesanto, and A. D. Harnawan, "Desain dan fabrikasi alat ukur kadar gas metana (CH4) pada lahan gambut menggunakan sensor TGS2611 berbasis ATMega8535," Jurnal Neutrino, vol. 8, no. 1, pp. 11-20, 2015. doi: 10.18860/neu.v0i0.3165
  15. R. Alfanz, A. Nurhadi, and J. A. Laksmono, "Perancangan dan implementasi sistem monitoring produksi biogas pada biodigister," Jurnal Nasional Teknik Elektro, vol. 5, no. 1, pp. 128–134, 2016. doi: 10.25077/jnte.v5n1.216.2016
  16. F. Z. Rachman, A. Armin, N. Yanti, and Q. Hidayati, “Implementasi jaringan sensor nirkabel zigbee menggunakan topologi mesh pada pemantauan dan kendali perangkat ruang,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 4, no. 3, pp. 201-206, 2017. doi: 10.25126/jtiik.201743438
  17. T. R. M. Saputra, M. Syaryadhi, and R. Dawood, “Penerapan wireless sensor network berbasis internet of things pada kandang ayam untuk memantau dan mengendalikan operasional peternakan ayam,” in Seminar Nasonal dan Expo Teknik Elektro, Banda Aceh, Indonesia, Oct. 2017, pp. 81-88,

Last update:

  1. E-C ommerce application of oil palm fresh fruit bunches supply chain

    Harison, Marimin, Sukardi, Faqih Udin, Yani Nurhadryani. THE 2ND NATIONAL CONFERENCE ON MATHEMATICS EDUCATION (NACOME) 2021: Mathematical Proof as a Tool for Learning Mathematics, 2811 , 2023. doi: 10.1063/5.0105462
  2. Reliability of Microclimate Data with IoT Technology on Coffee-Pine Farms in UB Forest

    Heru Nurwarsito, Didik Suprayogo, Setyawan P. Sakti, Cahyo Prayogo. 2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), 2023. doi: 10.1109/ICMERALDA60125.2023.10458206

Last update: 2024-11-20 20:09:14

No citation recorded.