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STUDI AWAL KENDALI KECEPATAN MOTOR LISTRIK SATU FASA BERDASARKAN PARAMETER KEKERUHAN AIR BERBASIS ARDUINO NANO Amri, Fauzan; Dharmawan Hadi, Bagus; Maknunah, Jauharotul; Fitriyanto, Indra; Lutfiar Rizky, Revan; Rahayu, Sri; Wanda Alifah, Aulia
INTEKNA Jurnal Informasi Teknik dan Niaga Vol 25 No 2 (2025): Jurnal INTEKNA, Volume 25, No. 2, Nov 2025
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/intekna.v25i2.15215

Abstract

Air bersih merupakan kebutuhan mendasar bagi manusia, sehingga kualitas air perlu dipantau secara periodik. Salah satu parameter kualitas air yang penting adalah tingkat kekeruhan. Kekeruhan tinggi menandakan keberadaan partikel padat tersuspensi yang dapat membahayakan kesehatan. Penelitian ini bertujuan merancang dan menguji sistem otomatis pengendali kecepatan motor pompa air berbasis mikrokontroler Arduino Nano dengan acuan tingkat kekeruhan air. Sistem menggunakan sensor turbidity untuk mendeteksi kekeruhan dan sensor infrared untuk memantau kecepatan motor. Arduino mengatur kecepatan pompa melalui driver LSA-002 berdasarkan tingkat kekeruhan yang terdeteksi. Data monitoring ditampilkan secara Real-Time melalui platform Node-RED. Metode penelitian meliputi perancangan rangkaian, pemrograman mikrokontroler, perakitan sistem, dan pengujian. Hasil menunjukkan bahwa sistem dapat bekerja secara otomatis dan efisien dalam mengontrol kecepatan motor sesuai kekeruhan air, serta berhasil menampilkan data monitoring secara dalam jaringan.
AUTOMATIC POLYALUMINIUM CHLORIDE (PAC) DOSING CONTROL SYSTEM FOR WATER PURIFICATION USING NODEMCU-ESP32 Amri, Fauzan; Dharmawan Hadi , Bagus; Haryanti, Tri; Lutfiar Rizky, Revan; Rahayu, Sri; Wanda Alifah, Aulia
Logic : Jurnal Rancang Bangun dan Teknologi Vol. 26 No. 1 (2026): March
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study discusses the design and implementation of a control system for a water pump used to inject PAC solution into raw water, thereby producing treated water that meets quality standards. The pump’s operating duration is adaptively controlled based on the turbidity level of the water to be clarified. The system employs a turbidity sensor as the input signal, which generates data to be processed by a NodeMCU-ESP32 device serving as the central controller. Subsequently, the controller issues commands to the water pump, functioning as the actuator, to perform the PAC injection process. Experiments were conducted on three types of water sources, namely river water, paddy field water, and groundwater, with initial turbidity levels of 29, 35, and 64 NTU, respectively. The results showed that all water samples were successfully clarified to a turbidity value of 0 NTU within 47, 120, and 137 minutes, respectively. At the beginning of the treatment process, turbidity value readings exhibited fluctuations due to the initial mixing of PAC solution with raw water. However, the turbidity values steadily decreased once the PAC and suspended particles were fully settled. To facilitate monitoring, the system is equipped with an IoT feature via the Firebase platform, which displays numerical indicators including water volume, turbidity level, pump speed, pump operating duration, and water status classified according to clarity. This innovation is expected to contribute as an effective water purification automation technology, expecially for small- and medium-scale industries.