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Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT Joniwarta; Priatna, Wowon; Hamdani, Asep R.; Alexander, Allan D.
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3356

Abstract

Implementation of Fuzzy Logic in the IOT-Based Mineral Water pH Control System for various existing bottled mineral water products, this system can measure the pH value, to find out if the value is still within the limits suitable for consumption or not based on government regulations. The public finds it challenging to understand the level of the pH value of the product because the current state of information regarding the pH level of mineral water generally is not listed in the mineral water bottle circulating on the market. Hardware design, application design, and hardware and software integration were the three steps of this research project. The pH value will be read by this control system from the output of the sensors then the data is collected into a data set. The data will be examined for trends using fuzzy logic, which will be used to classify the maximum and minimum pH levels, acidity levels, and base levels. The study's findings show that an internet-based web of things can access the mineral water pH control system to ascertain each mineral water product's pH value and temperature. This information can then be used by consumers to ascertain the pH level of each mineral water product.
Perancangan Platform Internet of Things sebagai Sistem Komunikasi Dua Arah untuk Pemantauan pH Air Joniwarta; Ridwan; Kustanto, Prio
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/x78gac94

Abstract

Water quality monitoring is a critical component in ensuring environmental sustainability and public health. The degree of acidity (pH) is one of the key parameters used to assess water quality, as it directly affects the suitability of water for domestic and industrial applications. Conventional water pH measurement systems are typically local and rely on manual data recording, resulting in limited data accessibility, susceptibility to human error, and the absence of structured historical records. This study presents the design of an Internet of Things (IoT) platform as a two-way communication system between water pH sensing hardware and a cloud-based digital platform. The proposed system consists of a pH sensor, a network-enabled microcontroller, a cloud platform for centralized data management, and a web-based dashboard as the user interface. Two-way communication enables the system not only to transmit real-time measurement data but also to receive configuration commands from users. Experimental results indicate that the proposed IoT platform improves the efficiency of water pH monitoring, reduces reliance on manual data recording, and provides structured historical data to support long-term analysis.