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All Journal Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Ryan Yudha Aditya
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Water Monitoring and Control System in Krofta System with Fuzzy Logic Method Ramadani, Yury Novian; Ryan Yudha Aditya; Ii Munadhif; Isa Rachman; Eng Imam Sutrisno; Muhammad Khoirul Hasin
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.660

Abstract

Krofta is a water purification technology widely used in industries, particularly in paper and tissue manufacturing. In this study, a Fuzzy logic-based control method is applied to the input and output parameters of the system. The developed system utilizes a Sugeno Fuzzy system with three main inputs: TSS (Total Suspended Solids), pH, and temperature, and an output parameter in the form of PWM (Pulse Width Modulation) to control the booster pump for injecting chemicals to maintain water quality. The water purification process involves the injection of a chemical agent, specifically a fennopol solution, which is pumped by a booster pump. The booster pump is controlled by an AC Dimmer module driver based on the PWM output generated by the Fuzzy method. During this process, data from each parameter is recorded in real-time using a MySQL database and displayed via a web interface, with both components interconnected. Based on the research findings, the accuracy results for the sensors are as follows: the temperature sensor has an average error of 2.736%, the pH sensor has an average error of 1.742%, and the TSS sensor has an average error of 4.10%. For the PWM parameter, the system achieves highly accurate PWM values, effectively optimizing the tested water parameters. In conclusion, the Sugeno Fuzzy method demonstrates an average accuracy of 97.1% in monitoring and controlling the system to support decision-making processes.
Penerapan Kalman Filter Pada Pembacaan Sensor Loadcell Berbasis PLC Siemens S7-1200 Jefry Setyo Fambudi; Mat Syai’in; Ryan Yudha Aditya
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 3 (2024): Jurnal Elkolind Vol. 11 No. 3 (September 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i3.6158

Abstract

Peran sensor loadcell sangat penting dalam sistem penimbangan untuk mendapatkan informasi massa yang sesuai. Banyaknya permintaan sistem penimbang yang presisi saat ini dikembangan sistem penimbangan yang mampu bekerja secara otomatis dalam menimbang dengan hasil yang konsisten dan stabil. Kelemahan dari sensor loadcell adalah sistem pembacaan yang memiliki noise dan dinilai kurang stabil sehingga hasil penimbangan kurang akurat dan jauh dari nilai set point yang diterapkan. Kelemahan tersebut dapat diminimalisir menggunakan filter sinyal yaitu Kalman Filter. Berdasarkan observasi yang telah dilakukan dengan menerapkan rumus Kalman Filter mampu menimalkan noise secara optimal menggunakan perbandingan nilai Q = 1 dan R = 10000 yang mampu memberikan hasil filter yang lebih halus dan stabil. penerapan Kalman Filter pada PLC Siemens S7-1200 dengan nilai perbandingan Q dan R yang sama dapat memberikan hasil yang optimal dengan nilai rata-rata error hasil penimbangan antara menggunakan Kalman Filter dan tanpa menggunakan filter memiliki selisih sebesar 0,10% yang berarti Kalman Filter dapat diterapkan pada sistem penimbangan dapat menyaring noise secara optimal sehingga mendapatkan hasil penimbangan yang stabil dan konsisten.
Co-Authors Eng Imam Sutrisno Hasin, Muhammad Khoirul Ii Munadhif Isa Rachman Jefry Setyo Fambudi Mat Syai’in Ramadani, Yury Novian