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Open access Jurnal SINTA 5

SISTEM CERDAS IRIGASI MENGGUNAKAN METODE FUZZY LOGIC PADA TANAMAN TOMAT

AnoaTIK: Jurnal Teknologi Informasi dan Komputer · Vol. 2 No. 2 (2024) · pp. 90–93

DOI
10.33772/anoatik.v2i2.69
ISSN
2987-7652
Published
2024-12-10
Publisher
Program Studi Ilmu Komputer FMIPA-UHO
Language
ind
License
creativecommons.org/licenses/by-sa/4.0

Abstract

English

This study designs an IoT-based intelligent irrigation system using Fuzzy Logic to manage tomato plant watering. The system monitors soil moisture and temperature in real-time, automating irrigation to optimize water usage based on plant needs. Using the Fuzzy Sugeno method, it combines moisture and temperature data to determine watering duration. Key components include sensors, a microcontroller, an IoT module integrated with the Blynk app, and an automatic water pump. Testing shows the system functions effectively, detecting environmental changes with a 0.47% deviation from manual methods and achieving a 99.50% automation success rate.

Bahasa Indonesia

Penelitian ini merancang sistem irigasi cerdas berbasis IoT menggunakan Fuzzy Logic untuk pengaturan penyiraman pada tanaman tomat. Sistem ini memantau kelembapan tanah dan suhu secara real-time serta mengatur penyiraman otomatis sesuai kebutuhan tanaman, mengoptimalkan penggunaan air. Dengan metode Fuzzy Sugeno, sistem menggabungkan data kelembapan dan suhu untuk menentukan durasi penyiraman. Komponen utamanya meliputi sensor, mikrokontroler, modul IoT terintegrasi dengan aplikasi Blynk, dan pompa air otomatis. Hasil pengujian menunjukkan bahwa sistem berfungsi efektif, mendeteksi perubahan lingkungan dengan deviasi 0,47% dari metode manual dan mencapai tingkat keberhasilan otomatisasi 99,50%.

Keywords

Collaboration network of the authors

23 authors · 61 co-authorship links · 1 across different organisations

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

  • Universitas Halu Oleo
  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Andi TenriawaruUniversitas Halu Oleo5
Natalis RansiUniversitas Halu Oleo4
Ferdinand Murni HamunduUniversitas Halu Oleo2
La Ode Muhammad Hafidz Abdillah Sam MongkitoUniversitas Halu Oleo2
Budi Wijaya RaufUniversitas Halu Oleo2
Dian Safitri DurukaUniversitas Halu Oleo1
Abdullah Malik Fajar ThahaUniversitas Halu Oleo1
Muhammad RialUniversitas Halu Oleo1
Laode SaidiUniversitas Halu Oleo1
Herdi BudimanUniversitas Halu Oleo1
Juang JulianUniversitas Halu Oleo1
Putu Nara Kusuma PrasanjayaUniversitas Halu Oleo1
Ilham Julian EfendiUniversitas Halu Oleo1
WindaAffiliation unknown1
Achirul Slamet SugiartoAffiliation unknown1
La Ode SaidiAffiliation unknown1
Ferdinand Murni HamunduAffiliation unknown1
Wasda Bil HusnaAffiliation unknown1
Herdi BudimanAffiliation unknown1
Reza PulunganUniversitas Gadjah Mada1

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) 
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	<dc:title xml:lang="id-ID">SISTEM CERDAS IRIGASI MENGGUNAKAN METODE FUZZY LOGIC PADA TANAMAN TOMAT</dc:title>
	<dc:creator>Pogasang, Juliarni</dc:creator>
	<dc:creator>Gunawan, Gunawan</dc:creator>
	<dc:creator>Surimi, La</dc:creator>
	<dc:subject xml:lang="id-ID">Sistem Cerdas</dc:subject>
	<dc:subject xml:lang="id-ID">Logika Fuzzy</dc:subject>
	<dc:subject xml:lang="id-ID">Blynk</dc:subject>
	<dc:subject xml:lang="id-ID">IoT</dc:subject>
	<dc:description xml:lang="en-US">This study designs an IoT-based intelligent irrigation system using Fuzzy Logic to manage tomato plant watering. The system monitors soil moisture and temperature in real-time, automating irrigation to optimize water usage based on plant needs. Using the Fuzzy Sugeno method, it combines moisture and temperature data to determine watering duration. Key components include sensors, a microcontroller, an IoT module integrated with the Blynk app, and an automatic water pump. Testing shows the system functions effectively, detecting environmental changes with a 0.47% deviation from manual methods and achieving a 99.50% automation success rate.</dc:description>
	<dc:description xml:lang="id-ID">Penelitian ini merancang sistem irigasi cerdas berbasis IoT menggunakan Fuzzy Logic untuk pengaturan penyiraman pada tanaman tomat. Sistem ini memantau kelembapan tanah dan suhu secara real-time serta mengatur penyiraman otomatis sesuai kebutuhan tanaman, mengoptimalkan penggunaan air. Dengan metode Fuzzy Sugeno, sistem menggabungkan data kelembapan dan suhu untuk menentukan durasi penyiraman. Komponen utamanya meliputi sensor, mikrokontroler, modul IoT terintegrasi dengan aplikasi Blynk, dan pompa air otomatis. Hasil pengujian menunjukkan bahwa sistem berfungsi efektif, mendeteksi perubahan lingkungan dengan deviasi 0,47% dari metode manual dan mencapai tingkat keberhasilan otomatisasi 99,50%.</dc:description>
	<dc:publisher xml:lang="id-ID">Program Studi Ilmu Komputer FMIPA-UHO</dc:publisher>
	<dc:date>2024-12-10</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/69</dc:identifier>
	<dc:identifier>10.33772/anoatik.v2i2.69</dc:identifier>
	<dc:source xml:lang="en-US">AnoaTIK: Jurnal Teknologi Informasi &amp; Komputer; Vol. 2 No. 2 (2024): Desember 2024; 90-93</dc:source>
	<dc:source xml:lang="id-ID">AnoaTIK: Jurnal Teknologi Informasi dan Komputer; Vol 2 No 2 (2024): Desember 2024; 90-93</dc:source>
	<dc:source>2987-7652</dc:source>
	<dc:source>10.33772/anoatik.v2i2</dc:source>
	<dc:language>ind</dc:language>
	<dc:relation>https://anoatik.uho.ac.id/index.php/atik/article/view/69/26</dc:relation>
	<dc:rights xml:lang="id-ID">Hak Cipta (c) 2024 Juliarni Pogasang, Gunawan Gunawan, La Surimi</dc:rights>
	<dc:rights xml:lang="id-ID">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>