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All Journal JOIV : International Journal on Informatics Visualization Jurnal Nasional Pengelolaan Energi MigasZoom AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Edukasia: Jurnal Pendidikan dan Pembelajaran Electrician : Jurnal Rekayasa dan Teknologi Elektro ELPOSYS: Jurnal Sistem Kelistrikan Journal of Systems, Information Technology, and Electronics Engineering Jurnal INFOTEL Jurnal Polimesin Civitas: Jurnal Pengabdian Masyarakat
Astrie Kusuma Dewi, Astrie Kusuma
STEM Akamigas Jl. Gajah Mada No.38 Cepu, 58315
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Jurnal Polimesin

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Fuzzy logic-PLC-based controller for water treatment simulator system Dewi, Astrie Kusuma; Labatar, Gilbert; Hamdani, Chalidia Nurin; Wardhana, Asepta Surya
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.5606

Abstract

The constant demand for clean water is critical for both consumption and daily activities. A water pH control system is essential for regulating and determining the concentration of acid and base values in water. Research projects often employ a Programmable Logic Controller (PLC) control system with various control methods. This serves as the backdrop for the design of a water treatment simulator, which utilizes a fuzzy logic control system. Fuzzy logic control is a reliable method that produces effective and accurate output values. Experiments conducted on the designed water treatment simulator demonstrate this. Factors influencing the relationship between the solution pump response time and the normalized water pH results are the concentrations of the pH-UP and pH-DOWN solutions. The water treatment simulator is a lab-scale water pH control system simulation tool using a fuzzy logic control mode. It uses an Outseal PLC microcontroller, a pH sensor to measure pH, a DC pump, and a solenoid valve to control the output flow. The experimental results show a significant relationship between the initial pH value of the water measured and the response time of the solution pump. Data analysis shows a positive correlation where the further the pH concentration value of the water is from the normal pH state, the higher the response time value. Factors influencing the relationship between the solution pump response time and the normalized water pH results are the concentration of the pH UP and pH DOWN solutions. The concentration of the solution is set for a pH UP of 12.2 and a pH DOWN solution of 2.2.
Design Of Temperature System On The Electrical Tank Heater Using PLC Dewi, Astrie Kusuma; Sugirto, Ihrom; Hamdani, Chalidia Nurin; Septiani, Natasya Aisah
Jurnal Polimesin Vol 22, No 1 (2024): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i1.4228

Abstract

A temperature control system is required in any situationthat requires a certain temperature to remain stable.Likewise, in the electrical processtank heater that requires a control system, because the temperature is notby the set value will cause overheating it,causing the product temperature is not as desired and can even causea dangerous explosion. In this project, the design is carried outtemperature control on the prototype electrical tank heater usingPLC Nano V5.2 as the controller, and the control method used is fuzzy Sugeno.Fuzzy logic has a value of obscurity and obscuritybetween right and wrong and control systems. Membership value may varyfrom 0 to 1. This means a situation can have two values, “yes or no” and "right or wrong", so it seems as if there is a "gray" area. Fuzzy Sugenois a fuzzy inference method for the conditions represented inthe form of IF–THEN, where the system output is not a fuzzy set but a constant form. Test results on the prototype confirm that the systemcontrol with PLC as controller and fuzzy as control methodhas a good ability to adapt the time needed totake longer to reach a stable state at higher temperatures (33.5°C to 37°C).Then at lower temperatures (29°C to 33.5°C). Haiwell-capable interfaceschange set values, display real-time graphs, and send commands toset PWM.
Co-Authors Adi, Wasis Waskito Aditya Dharmawan, Aditya Agus Setiyono Aji, Ferro Annasit Auli, Haris Numan Azzahra, Alifia Chalidia Nurin Hamdani Dewi Purnamasari Didin Herlinudinkhaji, Didin Ditto, Gusza Farras, Fitrianne Hamid, Farid Alfalaki Handaja, Suka Handoko, Susilo Hengkesa, Melinda Ibrahim, Ahmad Rasyid Indriani, Erdila Kasturi Kasturi, Kasturi Labatar, Gilbert Mareta, Silvia Mauludin, Muhammad Zairon nabilah, alifiyah shaffa Novan Akhiriyanto Noviyanto, Hernawan Nugraha, Wijaya Adi Nugroho, Budi Sulistiyo Nurrahman, Arif Pratama, Akbar Septiani, Natasya Aisah Sugirto, Ihrom Sujono Sujono, Sujono Triyanto, Roni Heru Wardhana, Asepta Surya Widiyanto, Totok Yuliatin, Umi