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Internet of things and fuzzy logic for smart street lighting prototypes

IAES International Journal of Artificial Intelligence · Vol. 10 No. 3 (2021) · hlm. 528–535

DOI
10.11591/ijai.v10.i3.pp528-535
ISSN
2252-8938, 2089-4872
Terbit
2021-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Internet of things (IoT) and fuzzy logic are very useful in increasing the efficiency and effectiveness of a system; this study applies both to the street lighting systems. The prototype of a street lighting control and monitoring system has been completed. The status of lights that are on or off and the value of the light intensity can be monitored by using IoT. The intensity of the light is fuzzy controlled by utilizing the presence of vehicles and pedestrians around the lights. The prototype is made with a scale against real conditions. Data is processed and transmitted using a microcontroller and Wi-Fi on the IoT module. Mobile applications have been used on smartphone interfaces to monitor and control lamps wherever they are connected to the Internet. Changes in the status of lights to turn on or off are done by the relay module. The fuzzy light intensity control system uses sensors and microcontrollers by utilizing the presence of vehicles and pedestrians around the lights. Performance evaluation has been carried out on a miniature street lighting with the results of monitoring and control following its function. An analysis of the resulting energy savings has been demonstrated.

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  • Indonesia University of Education
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Hasanuddin University
  • Universitas Nurtanio
  • Politeknik Enjinering Indorama
  • Politeknik Manufaktur Bandung
  • Sebelas Maret University
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Rekan penulisOrganisasiArtikel bersama
Isma WidiatyIndonesia University of Education3
Ade Yolanda LatjubaHasanuddin University2
Nur Aisyah ZulkifliUniversitas Islam Negeri Sultan Syarif Kasim Riau2
Sherly RahmawatiIndonesia University of Education2
Muhammad Nur HudhaSebelas Maret University1
Anna PermanasariIndonesia University of Education1
Ida HamidahIndonesia University of Education1
Mardi Adi ArminHasanuddin University1
Prasuri KuswariniHasanuddin University1
Muhammad Qasash HasyimHasanuddin University1
Masdiana MasdianaHasanuddin University1
Erwing ErwingHasanuddin University1
Suryan A. JamrahUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Riska SyafitriAfiliasi tidak diketahui1
Reni SusantiUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Mukhlis MukhlisUniversitas Islam Negeri Ar-Raniry1
Raudatussalamah RaudatussalamahUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Elyusra UlfahUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Salmiyati SalmiyatiUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Wilaela WilaelaUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Aditya Ramadhan IslamiIndonesia University of Education1
Cica YuliaIndonesia University of Education1
Dadang Lukman HakimIndonesia University of Education1
Erfan HandokoState University of Jakarta1
Eri SubektiUniversitas Langlangbuana1
Johanes Adi PrihantonoUniversitas Nurtanio1
Ike Yuni WulandariIndonesia University of Education1
Agus SetiawanIndonesia University of Education1
Heni PuspitaIndonesia University of Education1
Erlian SupriyantoUniversitas Nurtanio1
Supriyanto SupriyantoState University of Semarang1
Sulaeman Deni RamdaniSultan Ageng Tirtayasa University1
Quienera JoshuaUniversiti Malaysia Sarawak1
Emmanuel Obobi TettehfioHo Technical University1
Salleh Ahmad BareduanTun Hussein Onn University of Malaysia1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Internet of things and fuzzy logic for smart street lighting prototypes</dc:title>
	<dc:creator>Eriyadi, Mindit</dc:creator>
	<dc:creator>Abdullah, Ade Gafar</dc:creator>
	<dc:creator>Hasbullah, Hasbullah</dc:creator>
	<dc:creator>Mulia, Sandy Bhawana</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Energy saving; Fuzzy logic; Internet of things; Light intensity; Lux sensor; Smart street lighting</dc:subject>
	<dc:description xml:lang="en-US">Internet of things (IoT) and fuzzy logic are very useful in increasing the efficiency and effectiveness of a system; this study applies both to the street lighting systems. The prototype of a street lighting control and monitoring system has been completed. The status of lights that are on or off and the value of the light intensity can be monitored by using IoT. The intensity of the light is fuzzy controlled by utilizing the presence of vehicles and pedestrians around the lights. The prototype is made with a scale against real conditions. Data is processed and transmitted using a microcontroller and Wi-Fi on the IoT module. Mobile applications have been used on smartphone interfaces to monitor and control lamps wherever they are connected to the Internet. Changes in the status of lights to turn on or off are done by the relay module. The fuzzy light intensity control system uses sensors and microcontrollers by utilizing the presence of vehicles and pedestrians around the lights. Performance evaluation has been carried out on a miniature street lighting with the results of monitoring and control following its function. An analysis of the resulting energy savings has been demonstrated.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2021-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/20868</dc:identifier>
	<dc:identifier>10.11591/ijai.v10.i3.pp528-535</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 10, No 3: September 2021; 528-535</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v10.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/20868/13229</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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