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All Journal Journal of Telematics and Informatics JTT (Jurnal Teknologi Terpadu) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JTERA (Jurnal Teknologi Rekayasa) Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Journal Zetroem Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Jurnal Polimesin
Nur Yanti
Politeknik Negeri Balikpapan
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Implementation of fuzzy logic control for the automation of diesel engine cooling systems Randis Randis; Sri Susilawati Islam; Nur yanti; Novita Novita
Jurnal POLIMESIN Vol 21, No 2 (2023): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i2.3359

Abstract

Conventional cooling systems on four-wheeled vehicles generally use a cooling fan driven by the crankshaft through pulleys and a belt (V-belt), causing the wastage of fuel in the vehicle. This study aims to design and implement fuzzy logic control on a prototype of an automatic cooling system for a diesel engine. The tool's design uses the experimental method, uses Arduino as a microcontroller that functions as a data processing center, with inputs of two temperature sensors and a DC motor as output to rotate the fan, and fuzzy logic control methods as an automatic control system. The research results show that this tool can operate automatically according to the engine temperature, so it is expected to produce greater effectiveness and efficiency. Measurements on each component have been carried out and show satisfactory results, testing on the temperature sensor shows a small error. Comprehensive testing of the tool shows good performance, including the PWM output to adjust the rotational speed of the fan motor so that the system can be used properly. This research will help create a prototype of an automatic cooling system for a diesel engine cooling system so that it can be developed to reveal better fuel efficiency in the future.
Optimizing Real-Time Weather Data and Information Services with Frameworks and Application Programming Interfaces Nur Yanti; Ihsan; Fathur Zaini Rachman; Dwi Lesmideyarti; Mikail Eko Prasetyo
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16399

Abstract

The need for fast, accurate, and secure weather information is a major challenge in BMKG public services. This research aims to develop a web-based information system capable of presenting real-time weather, climate, and flight forecast data, as well as supporting transaction services and digital data distribution at the BMKG Balikpapan Meteorological Station. The method employed is Research and Development (R&D), utilizing a Waterfall model in conjunction with the Network Development Life Cycle (NDLC). The research stages include needs analysis, system design, implementation using a web framework, and integration of Application Programming Interface (API) for real-time data synchronization. The system utilizes PostgreSQL as a database and the SMTP protocol for sending verification emails. Key features developed include login and registration with layered verification, uploading proof of payment, and automatic sending of documents to user emails. With a responsive interface design and good data integration, this system improves the efficiency, security, and transparency of public services. The results of Black Box Testing on six items were declared successful. Additionally, system quality testing, conducted among 17 respondents through six questions using a Likert scale, yielded an average of 95.08%, indicating a very good category. This system supports the digital transformation. These findings imply that the developed system has the potential to be adapted to other sectors, such as health and agriculture, to support more efficient and secure digitalization of public services
IoT-Enabled Smart Farming System Based on Sugeno Fuzzy Logic for Land Monitoring, Automated Irrigation, and Fertilization Recommendation Nur Yanti; Syafruddin Syarif; Ihsan; Dwi Lesmideryati; Totok Sulistyo; Fathur Zaini Rachman
ZETROEM Vol 8 No 2 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i2.7567

Abstract

Conventional farming systems are widely practiced without considering field conditions, including temperature, soil moisture, and soil pH, leading to inaccurate irrigation, fertilization, and crop selection. This study designed and implemented an Artificial Intelligence and Internet of Things-based smart farming system using the Sugeno Fuzzy Logic method to support real-time land monitoring, fertilizer recommendations, and automatic watering control. An experimental method was applied through literature review, hardware and software design, multisensor integration, implementation, testing, and evaluation. The system integrates an ESP32 controller, a DHT11 sensor, a soil moisture sensor, a soil pH sensor, an ultrasonic water-level sensor, an ACS758 current sensor, an Android-based Blynk application, and solar panels as the energy source. The results show that the system displayed temperature, humidity, soil pH, reservoir water status, fertilization status, and watering status in real time via the Android app. Sensor testing showed reliable performance, with the DHT11 producing average differences of 0.675°C for temperature and 1.75% for humidity compared with BMKG reference data. The soil moisture sensor identified dry, normal, and wet soil conditions with average values of 23.73%, 47.50%, and 80.23%, respectively. The pH sensor recorded average values between 6.48 and 6.72, while the ultrasonic sensor achieved an average reservoir-level error of 0.62%. Solar panel testing produced average voltages of 13.89 V on the multimeter and 13.61 V on the solar charge controller. 
Co-Authors Aditya Kurniawan Dwi Lesmideryati Fathur Zaini Rachman Hadiyanto Hadiyanto Ihsan Ihsan Ihsan Ihsan Lesmideyarti, Dwi Mey Adisaputra Mikail Eko Prasetyo Novita Novita Nurwahidah Jamal Nurwahidah Jamal Qory Hidayati Randis Randis Sarifuddin Sarifuddin Sri Susilawati Islam Suhaedi Suhaedi Suhaedi Syafruddin Syarif Totok Sulistyo Ulfah, Maria