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All Journal Elektrika TESLA: Jurnal Teknik Elektro TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika An-Nahdlah: Jurnal Pendidikan Islam Jumper : Jurnal Mahasiswa Pendidikan Olahraga Indo-MathEdu Intellectuals Journal Indonesian Journal of Physical Education and Sport Science (IJPESS) Economic Reviews Journal Jurnal Teknik Sipil Macca JURNAL PENDIDIKAN OLAHRAGA Jurnal Risalah Addariyah: Studi Ilmu-ilmu Keislaman, Pendidikan, dan Sosial Kemasyarakatan BATOBO: Jurnal Pengabdian Kepada Masyarakat RESLAJ: Religion Education Social Laa Roiba Journal ONTOLOGI: Jurnal Pembelajaran dan Ilmiah Pendidikan
Anhar
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Religion Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : Elektrika

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INTERNET OF THINGS-BASED WATER PIPE LEAK DETECTION SYSTEM Anhar; Widyatma, Daffa Hanif; Syafrianti, Ery; Yuliani Putri, R.A Rizka Qori
Elektrika Vol. 17 No. 2 (2025): Oktober 2025
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v17i2.12750

Abstract

Leaks in pipelines are a very important issue and should not be underestimated in terms of handling and resolution. If a leak in a pipe is not addressed immediately, it can cause adverse effects, such as a decrease in water flow efficiency, and in some conditions, it can even stop the flow of water completely. Therefore, a water pipe leak detection system is needed to be implemented in homes. In this research, a prototype of a water pipe leak detection system consisting of a 4-branch and a T-branch was built to simulate piping conditions in users' homes. This system uses a water flow meter sensor as a leak detection sensor by comparing the difference in water discharge readings between sensors. me-ter water flow sensor is a sensor that is very suitable for this task. The water flow meter sensor works on the principle of hall effect and can read the water flow rate precisely and accurately with a reading accuracy of 9.9%. The system is IoT connected to blynk for easy monitoring and maintenance by the user. From 10 experiments conducted, the system successfully detected leaks with 100% success rate. The delay that occurs when sending data from the microcontroller to blynk is 67 ms.
Co-Authors Adi Sucipto, Adi Ahmad Zikri Ilman Al Farisy, Farhan Al Fateh, Rauf Alimuddin Amru Abdul Wadud Anggini, Shelastri Asyura, Irna Audria Balqis Bachmid, Sofyan Cantika, Norika Parlinda Celfin Dani Ali, Nurhalim Dewi Candra Dian Izati Nabila Dian Yayan Sukma, Dian Yayan Dilla Puspita Sari Edi Susilo Ery Safrianti Fajar, Farhan Aditri Febrely Cahya Tsabitah Febrizal Ujang Gunawan Gunawan Hadi, Abd Karim Hamonangan, Erwin Hamzah Heriady Idrus Sahar Muhammad Irwan Juniar, Aulia Liliyana Yolanda Linna Oktaviana Sari Mashud Muhajir Darwis Muhammad Jufri MULYADI Muthiatul Khairiyah Rtg Nabila Zahira Shofa Nahira Ayuningtyas Ni Nyoman Delanova Abjayoni Tantri Noveri Lysbetti M Oman Unju Subandi Pranata, Raynaldi Puspita, Ephine Khaylilla R.A Rizka Qori Yuliani Putri Ridwan Silvia Anggraini Hsb Suwitno Syafrianti, Ery Tri Setyo Guntoro Tsalisa, Syafarani Widyatma, Daffa Hanif Yusrina Gultom Zuen Shaqila