Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)

Achmad Marzuki; Wawan Heryawan; Irman Dulhan

doi:doi:10.11648/j.ajece.20240801.11

Research Article |

| Peer-Reviewed

Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)

Achmad Marzuki^*

, Wawan Heryawan

, Irman Dulhan

Published in American Journal of Electrical and Computer Engineering (Volume 8, Issue 1)

Received: 21 March 2024 Accepted: 8 April 2024 Published: 28 April 2024

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Abstract

Indonesia is an archipelagic country crossed by the equator, surrounded by the ocean, and traversed by many rivers, with a high level of rainfall. One of its islands is West Kalimantan, which has the longest river in Indonesia, the Kapuas River. In addition to the Kapuas River, there are also several tributaries scattered across this island, ensuring a constant water supply in the region. A natural condition surrounded by water, creates an environment with temperature and humidity that is ideal for the habitat of the swiftlets (COLLOCALIA FUCIPHAGA). The swiftlets initially inhabit caves with humidity levels around 80-95% and temperatures between 25-27°C. The nests of these swiftlets contain valuable substances, especially for health and cosmetics purposes, making them highly valuable in the market. Due to their high economic value, many farmers construct artificial houses for swiftlets of various sizes. The main challenge in a swiftlet house is to maintain humidity and temperature conditions close to the ideal habitat. This research aims to create a prototype control and monitoring system based on Mamdani FIS to maintain humidity and temperature inside the swiftlets house close to the ideal conditions, achieved by implementing an effective timing mechanism for humidifier machines and fans. Experiments results of the prototype show that the average humidity produced is 87.06%, and the temperature is 25.19°C. The placement of this prototype within an Artificial house for swiftlets should be movable within certain rooms and positioned according to the swiftlets' needs to ensure that the location is favored by the birds. This prototype can be operated manually and automatically, thus providing flexibility for Swiftlet farmers to control and monitor the Swiftlet’s house condition. This automatic control can be done globally via smartphone devices, so it is also able to provide great convenience for Swiftlets farmers to change and monitor the temperature and humidity.

Published in	American Journal of Electrical and Computer Engineering (Volume 8, Issue 1)
DOI	10.11648/j.ajece.20240801.11
Page(s)	1-10
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Swiftlet, Nests, Artificial Houses, Mamdani FIS, Humidity, Temperature

References

[1]	Dodo Wahyudi, Suwarto, Heru Irianto, 2019. A Study on Affecting Factors of White-Nest Swiftlet (Collocalia fuciphaga) Farming Performance in Haur District, Indramayu Regency. 8(2), pp. 128-142. https://doi.org/10.21107/agriekonomika.v8i2.6013
[2]	Mega Endiana Dewi, 2020. Benefits of Edible Bird Nest Consumption. Jurnal Kedokteran Ibnu Nafis, 9(1), pp. 12-16. https://doi.org/10.30743/jkin.v9i1.43
[3]	Suti Kurnia Dewi, Rudy Dwi Nyoto, Elang Derdian Marindani, 2018. Perancangan Prototipe Sistem Kontrol Suhu dan Kelembaban pada Gedung Walet dengan Microcontroller berbasis Mobile (“Prototype Design of Temperature and Humidity Control System in the Swallow Building using a Mobile-based Microcontroller”). JEPIN (Jurnal Edukasi dan Penelitian Informatika), May June, 4(1), pp. 36-42. https://doi.org/10.26418/jp.v4i1.24065
[4]	Normalina Abdullah, Noor Aerina Binti Durani I, Mohamad Farid BinI, King Soon Siong, Vicky Kong Wei Hau, Wong Ngei Siong, and Ir. Khairul Azman Ahmad, 2021. Towards Smart Agriculture Monitoring Using Fuzzy Systems. IEEE Access, 8 January, Volume 9, pp. 4097-4111. https://doi.org/10.1109/ACCESS.2020.3041597
[5]	Dayu Xu, Lei Ren, and Xuyao Zhang, 2023. Predicting Multidimensional Environmental Factor Trend in Greenhouse Microclimates using a Hybrid Ensemble Approach. Hindawi Journal of sensor, Volume 2023, pp. 1-21. https://doi.org/10.1155/2023/6486940
[6]	Kalavathi Devi Thangavel, Umadevi Seerengasamy, Sakthivel Palaniappan, Revathi Sekar, 2022. Prediction of factors for Controlling of Green House Farming with Fuzzy based multiclass Support Vector Machine. Alexandria Engineering Journal, 30 july. pp. 279-289. https://doi.org/10.1016/j.aej.2022.07.016
[7]	Sebastian-Camilo Vanegas-Ayala, Julio Baro'n-Velandia, and Daniel-David Leal-Lara, 2023. Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods. Hindawi Advances in Fuzzy Systems, Volume Article ID 4764919, pp. 1-22. https://doi.org/10.1155/2023/4764919
[8]	Abdelhakim Sahour, Farouk Boumehrez, Mohamed Benouaret, Azzouz Mokhneche, 2021. Greenhouse Climate Controller by using of Internet Thing Technology and Fuzzy Logic. Instrumentation Measure Metrologie, February, 20(1), pp. 29-38. https://doi.org/10.18280/i2m.200105
[9]	Sebastian-Camilo Vanegas-Ayala, Julio Baro'n-Velandia, and Daniel-David Leal-Lara, 2022. A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems. Hindawi Advances in Human-Computer Interaction, Volume 2022, Article ID 8483003, pp. 1-16. https://doi.org/10.1155/2022/8483003
[10]	A. Labidi, A. Chochainer, A. Mami, 2021. Intelligent Climate Control System inside a Greenhouse. International Journal of Advance Computer Science and Application (IJACSA), 12(2). https://doi.org/10.14569/IJACSA.2021.0120229
[11]	Jamel Riahi, Silvano Vergura, Dhafer Mezghani and Abdelkader Mami, 2020. Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System. MDPI applied Science, October. pp. 1-20. https://doi.org/10.3390/app10041350
[12]	Qi Zhang, Xinyu Zhang, Zaiqiang Yang, Qinqin Huang, and Rangjian Qiu, 2022. Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth. frontiers in Earth Sciences, 23 March, Volume 10 Article 848924, pp. 1-11. https://doi.org/10.3389/feart.2022.848924
[13]	S. Priyadharshini, K. Ajithkumar, P. Sakthivel, M. Arunkumar, R. Samvedhamani, 2020. IOT BASED SMART AGRICULTURE MONITORING SYSTEM USING FUZZY LOGIC. Journal of Critical Reviews, 7(13), pp. 1229-1234. https://doi.org/10.31838/jcr.07.13.210
[14]	Amir Abbas Baradaran, Mohammad Saleh Tavazoei, 2022. Fuzzy Sistem Design for Automatic Irrigation of Agricultural Field. Elseiver Expert System With Application, 30 December. Volume 210. https://doi.org/10.1016/j.eswa.2022.118602
[15]	Lukman Adewale Ajao, Emmanuel Adewale Adedokun, Joseph Ebosetale Okhaifoh and Habib Bello Salau, 2021. A Nonlinear Fuzzy Controller Design Using Lyapunov Functions for an Intelligent Greenhouse Management in Agriculture. Intechopen Technology in Agriculture, 13 June. pp. 1-24. https://doi.org/10.5772/intechopen.98409
[16]	Romeo Urbieta Parrazales, María T. Zagaceta Álvarez, Karen A. Aguilar Cruz, Rosaura Palma Orozco, José L. Fernández Muñoz, 2021. Implementation of a Fuzzy Logic Controller for the Irrigation of Rose Cultivation in Mexico. MDPI algitulcure, 21 June, 11(7), pp. 1-12. https://doi.org/10.3390/agriculture11070576
[17]	Hamid Khafajeh, Ahmad Banakar, Saeid Minaei, and Majid Delavar, 2023. A hydroponic greenhouse fuzzy control system: design, development and optimization using the genetic algorithm. Spanish Journal of Agricultural Research, 21(1), pp. 1-12. https://doi.org/10.5424/sjar/2023211-19392
[18]	Angga Prasetyo, Moh. Bhanu Setyawan, Yovi Litanianda, Sugianti, Fauzan Masykur, 2022. Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling. INTENSIVE, 6(1). https://doi.org/10.29407/intensif.v6i1.16786

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APA Style

Marzuki, A., Heryawan, W., Dulhan, I. (2024). Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System). American Journal of Electrical and Computer Engineering, 8(1), 1-10. https://doi.org/10.11648/j.ajece.20240801.11

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ACS Style

Marzuki, A.; Heryawan, W.; Dulhan, I. Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System). Am. J. Electr. Comput. Eng. 2024, 8(1), 1-10. doi: 10.11648/j.ajece.20240801.11

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AMA Style

Marzuki A, Heryawan W, Dulhan I. Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System). Am J Electr Comput Eng. 2024;8(1):1-10. doi: 10.11648/j.ajece.20240801.11

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@article{10.11648/j.ajece.20240801.11,
  author = {Achmad Marzuki and Wawan Heryawan and Irman Dulhan},
  title = {Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)
},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {8},
  number = {1},
  pages = {1-10},
  doi = {10.11648/j.ajece.20240801.11},
  url = {https://doi.org/10.11648/j.ajece.20240801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20240801.11},
  abstract = {Indonesia is an archipelagic country crossed by the equator, surrounded by the ocean, and traversed by many rivers, with a high level of rainfall. One of its islands is West Kalimantan, which has the longest river in Indonesia, the Kapuas River. In addition to the Kapuas River, there are also several tributaries scattered across this island, ensuring a constant water supply in the region. A natural condition surrounded by water, creates an environment with temperature and humidity that is ideal for the habitat of the swiftlets (COLLOCALIA FUCIPHAGA). The swiftlets initially inhabit caves with humidity levels around 80-95% and temperatures between 25-27°C. The nests of these swiftlets contain valuable substances, especially for health and cosmetics purposes, making them highly valuable in the market. Due to their high economic value, many farmers construct artificial houses for swiftlets of various sizes. The main challenge in a swiftlet house is to maintain humidity and temperature conditions close to the ideal habitat. This research aims to create a prototype control and monitoring system based on Mamdani FIS to maintain humidity and temperature inside the swiftlets house close to the ideal conditions, achieved by implementing an effective timing mechanism for humidifier machines and fans. Experiments results of the prototype show that the average humidity produced is 87.06%, and the temperature is 25.19°C. The placement of this prototype within an Artificial house for swiftlets should be movable within certain rooms and positioned according to the swiftlets' needs to ensure that the location is favored by the birds. This prototype can be operated manually and automatically, thus providing flexibility for Swiftlet farmers to control and monitor the Swiftlet’s house condition. This automatic control can be done globally via smartphone devices, so it is also able to provide great convenience for Swiftlets farmers to change and monitor the temperature and humidity.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)

AU  - Achmad Marzuki
AU  - Wawan Heryawan
AU  - Irman Dulhan
Y1  - 2024/04/28
PY  - 2024
N1  - https://doi.org/10.11648/j.ajece.20240801.11
DO  - 10.11648/j.ajece.20240801.11
T2  - American Journal of Electrical and Computer Engineering
JF  - American Journal of Electrical and Computer Engineering
JO  - American Journal of Electrical and Computer Engineering
SP  - 1
EP  - 10
PB  - Science Publishing Group
SN  - 2640-0502
UR  - https://doi.org/10.11648/j.ajece.20240801.11
AB  - Indonesia is an archipelagic country crossed by the equator, surrounded by the ocean, and traversed by many rivers, with a high level of rainfall. One of its islands is West Kalimantan, which has the longest river in Indonesia, the Kapuas River. In addition to the Kapuas River, there are also several tributaries scattered across this island, ensuring a constant water supply in the region. A natural condition surrounded by water, creates an environment with temperature and humidity that is ideal for the habitat of the swiftlets (COLLOCALIA FUCIPHAGA). The swiftlets initially inhabit caves with humidity levels around 80-95% and temperatures between 25-27°C. The nests of these swiftlets contain valuable substances, especially for health and cosmetics purposes, making them highly valuable in the market. Due to their high economic value, many farmers construct artificial houses for swiftlets of various sizes. The main challenge in a swiftlet house is to maintain humidity and temperature conditions close to the ideal habitat. This research aims to create a prototype control and monitoring system based on Mamdani FIS to maintain humidity and temperature inside the swiftlets house close to the ideal conditions, achieved by implementing an effective timing mechanism for humidifier machines and fans. Experiments results of the prototype show that the average humidity produced is 87.06%, and the temperature is 25.19°C. The placement of this prototype within an Artificial house for swiftlets should be movable within certain rooms and positioned according to the swiftlets' needs to ensure that the location is favored by the birds. This prototype can be operated manually and automatically, thus providing flexibility for Swiftlet farmers to control and monitor the Swiftlet’s house condition. This automatic control can be done globally via smartphone devices, so it is also able to provide great convenience for Swiftlets farmers to change and monitor the temperature and humidity.

VL  - 8
IS  - 1
ER  -

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Author Information

Achmad Marzuki

Department of Electrical Engineering, Pontianak State Polytechnic, Pontianak, Indonesia

Contact Email

http://orcid.org/0000-0002-4290-111X
Wawan Heryawan

Department of Electrical Engineering, Pontianak State Polytechnic, Pontianak, Indonesia

Contact Email

http://orcid.org/0009-0004-9912-9572
Irman Dulhan

Department of Electrical Engineering, Pontianak State Polytechnic, Pontianak, Indonesia

Contact Email

http://orcid.org/0009-0002-2471-0210

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APA Style

Marzuki, A., Heryawan, W., Dulhan, I. (2024). Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System). American Journal of Electrical and Computer Engineering, 8(1), 1-10. https://doi.org/10.11648/j.ajece.20240801.11

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ACS Style

Marzuki, A.; Heryawan, W.; Dulhan, I. Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System). Am. J. Electr. Comput. Eng. 2024, 8(1), 1-10. doi: 10.11648/j.ajece.20240801.11

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AMA Style

Marzuki A, Heryawan W, Dulhan I. Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System). Am J Electr Comput Eng. 2024;8(1):1-10. doi: 10.11648/j.ajece.20240801.11

Copy | Download

@article{10.11648/j.ajece.20240801.11,
  author = {Achmad Marzuki and Wawan Heryawan and Irman Dulhan},
  title = {Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)
},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {8},
  number = {1},
  pages = {1-10},
  doi = {10.11648/j.ajece.20240801.11},
  url = {https://doi.org/10.11648/j.ajece.20240801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20240801.11},
  abstract = {Indonesia is an archipelagic country crossed by the equator, surrounded by the ocean, and traversed by many rivers, with a high level of rainfall. One of its islands is West Kalimantan, which has the longest river in Indonesia, the Kapuas River. In addition to the Kapuas River, there are also several tributaries scattered across this island, ensuring a constant water supply in the region. A natural condition surrounded by water, creates an environment with temperature and humidity that is ideal for the habitat of the swiftlets (COLLOCALIA FUCIPHAGA). The swiftlets initially inhabit caves with humidity levels around 80-95% and temperatures between 25-27°C. The nests of these swiftlets contain valuable substances, especially for health and cosmetics purposes, making them highly valuable in the market. Due to their high economic value, many farmers construct artificial houses for swiftlets of various sizes. The main challenge in a swiftlet house is to maintain humidity and temperature conditions close to the ideal habitat. This research aims to create a prototype control and monitoring system based on Mamdani FIS to maintain humidity and temperature inside the swiftlets house close to the ideal conditions, achieved by implementing an effective timing mechanism for humidifier machines and fans. Experiments results of the prototype show that the average humidity produced is 87.06%, and the temperature is 25.19°C. The placement of this prototype within an Artificial house for swiftlets should be movable within certain rooms and positioned according to the swiftlets' needs to ensure that the location is favored by the birds. This prototype can be operated manually and automatically, thus providing flexibility for Swiftlet farmers to control and monitor the Swiftlet’s house condition. This automatic control can be done globally via smartphone devices, so it is also able to provide great convenience for Swiftlets farmers to change and monitor the temperature and humidity.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)

AU  - Achmad Marzuki
AU  - Wawan Heryawan
AU  - Irman Dulhan
Y1  - 2024/04/28
PY  - 2024
N1  - https://doi.org/10.11648/j.ajece.20240801.11
DO  - 10.11648/j.ajece.20240801.11
T2  - American Journal of Electrical and Computer Engineering
JF  - American Journal of Electrical and Computer Engineering
JO  - American Journal of Electrical and Computer Engineering
SP  - 1
EP  - 10
PB  - Science Publishing Group
SN  - 2640-0502
UR  - https://doi.org/10.11648/j.ajece.20240801.11
AB  - Indonesia is an archipelagic country crossed by the equator, surrounded by the ocean, and traversed by many rivers, with a high level of rainfall. One of its islands is West Kalimantan, which has the longest river in Indonesia, the Kapuas River. In addition to the Kapuas River, there are also several tributaries scattered across this island, ensuring a constant water supply in the region. A natural condition surrounded by water, creates an environment with temperature and humidity that is ideal for the habitat of the swiftlets (COLLOCALIA FUCIPHAGA). The swiftlets initially inhabit caves with humidity levels around 80-95% and temperatures between 25-27°C. The nests of these swiftlets contain valuable substances, especially for health and cosmetics purposes, making them highly valuable in the market. Due to their high economic value, many farmers construct artificial houses for swiftlets of various sizes. The main challenge in a swiftlet house is to maintain humidity and temperature conditions close to the ideal habitat. This research aims to create a prototype control and monitoring system based on Mamdani FIS to maintain humidity and temperature inside the swiftlets house close to the ideal conditions, achieved by implementing an effective timing mechanism for humidifier machines and fans. Experiments results of the prototype show that the average humidity produced is 87.06%, and the temperature is 25.19°C. The placement of this prototype within an Artificial house for swiftlets should be movable within certain rooms and positioned according to the swiftlets' needs to ensure that the location is favored by the birds. This prototype can be operated manually and automatically, thus providing flexibility for Swiftlet farmers to control and monitor the Swiftlet’s house condition. This automatic control can be done globally via smartphone devices, so it is also able to provide great convenience for Swiftlets farmers to change and monitor the temperature and humidity.

VL  - 8
IS  - 1
ER  -

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