Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 5

ANALISIS DAN IMPLEMENTASI SISTEM KONTROL LAMPU RUMAH OTOMATIS MENGGUNAKAN METODE FUZZY LOGIC

AnoaTIK: Jurnal Teknologi Informasi dan Komputer · Vol. 3 No. 2 (2026) · pp. 122–130

DOI
10.33772/anoatik.v3i2.128
ISSN
2987-7652
Published
2026-01-20
Publisher
Program Studi Ilmu Komputer FMIPA-UHO
Language
ind
License
creativecommons.org/licenses/by-sa/4.0

Abstract

English

Efficient use of electrical energy is one of the important aspects in a smart home system. One solution is an automatic lighting control system that can turn lights on or off based on environmental conditions. This study aims to design and implement an automatic home lighting control system using the Mamdani fuzzy logic inference method, with the integration of the Internet of Things (IoT) through the Blynk application for remote monitoring and control. This system usesanLDR sensor to detect environmental lighting levels and a PIR sensor to detect human movement. Data from the sensors is processed using predetermined rule-based fuzzy logic to produce lighting control decisions (ON or OFF). The implementation offuzzy logic is carried out on an Arduino microcontroller, while IoT connectivity and user interface are handled by the ESP8266 module connected to the Blynk platform. The test results show that the system can work automatically with responsiveness and accuracy. The lights turn on only when the light is dim/dark and there is movement, and can be controlled manually through the Blynk application. This system also allows monitoring ofsensor values (LDR and PIR) in real time via mobile devices. With the integration offuzzy logic and IoT, the system is proven to be effective in improving energy efficiency and user comfort in the home environment

Bahasa Indonesia

Penggunaan energi listrik secara efisien menjadi salah satu aspek penting dalam sistem rumah pintar. Salah satu solusinya adalah sistem kontrol lampu otomatis yang mampu menyalakan atau mematikan lampu berdasarkan kondisi lingkungan. Penelitian ini bertujan untuk merancang dan mengimplementasikan sistem kontrol lampu rumah otomatis menggunakan metode fuzzy logic inferensi Mamdani, dengan integrasi Internet of Things (IoT) melalui aplikasi Blynkuntuk pemantauan dan pengendalian jarakjauh. Sistem inimenggunakan sensor LDR untuk mendeteksitingkat pencahayaan lingkungan dan sensor PIR untuk mendeteksi keberadaan gerakan manusia. Data dari sensor diproses menggunakan logika fuzzy berbasis aturan (rule-based) yang telah ditentukan untuk menghasilkan keputusan pengendalian lampu (ON atau OFF). Implementasi fuzzy logic dilakukan pada mikrokontroler Arduino, sedangkan konektivitas IoT dan antarmuka pengguna ditangani oleh modul ESP8266 yang terhubung ke platform Blynk. Hasil pengujian menunjukkan bahwa sistem dapat bekerja secara otomatis dengan responsif dan akurat. Lampu menyala hanya saat kondisi cahaya redup/gelap dan terdapat gerakan, serta dapat dikendalikan secara manual melalui aplikasi Blynk. Sistemini jugamemungkinkan monitoring nilai sensor (LDRdan PIR) secara real- time melalui perangkat seluler. Dengan integrasi fuzzy logic dan IoT, sistem terbukti efektif dalam meningkatkan efisiensi energi dan kenyamanan pengguna dalamlingkungan rumah

Keywords

Collaboration network of the authors

7 authors · 9 co-authorship links · 2 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
La SurimiUniversitas Halu Oleo1
WindaAffiliation unknown1
Muhammad Gibran Fitrah HidayahtullahUniversitas Halu Oleo1
Rizal Adi SaputraInstitut Teknologi Sepuluh Nopember1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://anoatik.uho.ac.id/index.php/atik/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="id-ID">ANALISIS DAN IMPLEMENTASI SISTEM KONTROL LAMPU RUMAH OTOMATIS MENGGUNAKAN METODE FUZZY LOGIC</dc:title>
	<dc:creator>Saputra, I Made Alit Dwi</dc:creator>
	<dc:creator>Julian Efendi, Ilham</dc:creator>
	<dc:creator>Subardin</dc:creator>
	<dc:subject xml:lang="id-ID">Lampu Otomatis, Fuzzy Mamdani, IoT, Blynk</dc:subject>
	<dc:description xml:lang="en-US">Efficient use of electrical energy is one of the important aspects in a smart home system. One solution is an automatic lighting control system that can turn lights on or off based on environmental conditions. This study aims to design and implement an automatic home lighting control system using the Mamdani fuzzy logic inference method, with the integration of the Internet of Things (IoT) through the Blynk application for remote monitoring and control.
This system usesanLDR sensor to detect environmental lighting levels and a PIR sensor to detect human movement. Data from the sensors is processed using predetermined rule-based fuzzy logic to produce lighting control decisions (ON or OFF). The implementation offuzzy logic is carried out on an Arduino microcontroller, while IoT connectivity and user interface are handled by the ESP8266 module connected to the Blynk platform.
The test results show that the system can work automatically with responsiveness and accuracy. The lights turn on only when the light is dim/dark and there is movement, and can be controlled manually through the Blynk application. This system also allows monitoring ofsensor values (LDR and PIR) in real time via mobile devices. With the integration offuzzy logic and IoT, the system is proven to be effective in improving energy efficiency and user comfort in the home environment</dc:description>
	<dc:description xml:lang="id-ID">Penggunaan energi listrik secara efisien menjadi salah satu aspek penting dalam sistem rumah pintar.  Salah satu solusinya adalah sistem kontrol lampu otomatis yang mampu menyalakan atau mematikan lampu berdasarkan kondisi lingkungan. Penelitian ini bertujan untuk merancang dan mengimplementasikan  sistem    kontrol lampu rumah otomatis menggunakan metode fuzzy logic inferensi Mamdani, dengan integrasi Internet of Things (IoT) melalui aplikasi Blynkuntuk pemantauan dan pengendalian jarakjauh. Sistem inimenggunakan sensor LDR untuk mendeteksitingkat pencahayaan lingkungan dan sensor PIR untuk mendeteksi keberadaan gerakan manusia. Data dari sensor diproses menggunakan logika fuzzy berbasis aturan (rule-based) yang telah ditentukan untuk menghasilkan keputusan pengendalian lampu (ON atau OFF). Implementasi fuzzy logic dilakukan pada mikrokontroler Arduino, sedangkan konektivitas IoT dan antarmuka pengguna ditangani oleh modul ESP8266 yang terhubung ke platform Blynk. Hasil pengujian menunjukkan bahwa sistem dapat bekerja secara otomatis dengan responsif dan akurat. Lampu menyala hanya saat kondisi cahaya redup/gelap dan terdapat gerakan, serta dapat dikendalikan secara manual melalui aplikasi Blynk. Sistemini jugamemungkinkan monitoring nilai sensor (LDRdan PIR) secara real- time melalui perangkat seluler. Dengan integrasi fuzzy logic dan IoT, sistem terbukti efektif dalam meningkatkan efisiensi energi dan kenyamanan pengguna dalamlingkungan rumah</dc:description>
	<dc:publisher xml:lang="id-ID">Program Studi Ilmu Komputer FMIPA-UHO</dc:publisher>
	<dc:date>2026-01-20</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://anoatik.uho.ac.id/index.php/atik/article/view/128</dc:identifier>
	<dc:identifier>10.33772/anoatik.v3i2.128</dc:identifier>
	<dc:source xml:lang="en-US">AnoaTIK: Jurnal Teknologi Informasi &amp; Komputer; Vol. 3 No. 2 (2025): Desember 2025; 122-130</dc:source>
	<dc:source xml:lang="id-ID">AnoaTIK: Jurnal Teknologi Informasi dan Komputer; Vol 3 No 2 (2025): Desember 2025; 122-130</dc:source>
	<dc:source>2987-7652</dc:source>
	<dc:source>10.33772/anoatik.v3i2</dc:source>
	<dc:language>ind</dc:language>
	<dc:relation>https://anoatik.uho.ac.id/index.php/atik/article/view/128/48</dc:relation>
	<dc:rights xml:lang="id-ID">Hak Cipta (c) 2026 I Made Alit Dwi Saputra, Ilham Julian Efendi, Subardin</dc:rights>
	<dc:rights xml:lang="id-ID">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>