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All Journal IPTEK The Journal of Engineering IPTEK The Journal for Technology and Science Bulletin of Electrical Engineering and Informatics Rekayasa Mesin Indonesian Journal of Electrical Engineering and Computer Science Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Sewagati
Liza Rusdiyana
Institut Technologi Sepuluh Nopember, Surabaya
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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DESIGN BACK PROPAGATION NEURAL NETWORK (BPNN) – PID OF ACTIVE AIR SUSPENSION BASED ON HALF CAR MODEL AT PLUG-IN HYBRID ELECTRIC VEHICLE (PHEV) Sampurno, Bambang; Windarta, Kyla Anisa; Toriki, Mohammad Berel; Rusdiyana, Liza; Suryandani, Dika Andini
Jurnal Rekayasa Mesin Vol. 16 No. 1 (2025)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v16i1.1919

Abstract

A Plug-In Hybrid Electric Vehicle (PHEV) is a car with a combination of an electric motor and an internal combustion engine (ICE). The implementation of active air suspension in this research uses a half car model. Mathematical modeling is used to obtain system responses such as body displacement, body acceleration, rear wheel displacement, and rear wheel acceleration using MATLAB software. There are 3 test modes, namely passive suspension, active suspension, and implementation using a neural network-based control system. Based on these 3 test modes in 3 conditions, the use of passive suspension for body displacement produces a maximum overshoot of 133% and a settling time of 2.15 seconds. Meanwhile, the active suspension produces 43.33% and a settling time of 0.7 seconds. When using a neural network, it produces 50% and a settling time of 2.14 seconds. Some while, the use of passive suspesion foor body acceleration produces a maximum overshoot of 133%, arms of 124,2, and a settling time of 2.15 seconds. Meanwhile, the active suspension produces maximum overshoot of 43.33% , arms of 2.92, and a settling time of 0.7 seconds. When using a neural network, it produces maximum overshoot of 50%, arms of 2.92 and a settling time of 2.14 seconds.
Design and construction of an Arduino-based baby incubator simulator using IoT Rusdiyana, Liza; Jamot Damanik, Joel Juanda; Sampurno, Bambang; Suhariyanto, Suhariyanto; Mursid, Mahirul; Widianti, Ika Silviana
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 1: January 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i1.pp99-108

Abstract

This study aims to create a baby incubator simulator equipped with an internet of things (IoT)-based temperature control system using Arduino UNO. We use a DHT22 sensor to measure temperature and humidity, as well as fuzzy logic to ensure more accurate and responsive temperature control. The Thinger.io platform enables real-time monitoring and control of the incubator, providing flexibility and ease of supervision. With fuzzy logic, the temperature control system can handle changes and uncertainties in the incubator environment, providing a smoother response compared to traditional on-off methods. Testing shows that this system has a very low error rate, with an error value of only 0.97%, meaning that the measured temperature is almost identical to the actual conditions inside the incubator. Additionally, the authors used mice as a model for premature infants in the testing. The results showed that the mice's body temperature increased gradually and stably in line with the incubator conditions, reaching the desired temperature within 90 minutes. This demonstrates that our temperature control system is capable of maintaining optimal environmental conditions for premature infants.
Analysis and selection of skf bt2-8131 a roller bearing lubricant for the vertical roller mill at pt. solusi bangun indonesia tuban factory Suhariyanto; Rusdiyana, Liza; Sampurno, Bambang; Hakim, M Lukman; Abimanyu, Abiyyu Abyan
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 4 No 2 (2025): December
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v4i2.9361

Abstract

In the industrial world, friction between machine elements such as bearings can affect the performance and service life of components, making lubrication systems based on tribology principles very important. This study analyzes the selection of lubricants for SKF BT2-8131 A roller bearings in a Vertical Roller Mill owned by PT. Solusi Bangun Indonesia, Tuban Factory, with the aim of determining a better lubricant than before and identifying the type of lubricant film formed. The research process involved collecting machine operational data and lubricant specifications, as well as calculating the kappa value and Streibeck curve to determine the type of lubricant layer, such as boundary, mixed, or full film lubrication. The results showed that Pertamina Masri RG 460 lubricant with a kappa value of 1.29 was selected because it had adequate technical performance and was more economical, although Mobil SHC 600 460 lubricant with a kappa value of 1.73 was also recommended if technical performance was the main priority. The results were validated by calculating the predicted bearing life to ensure optimal efficiency and performance.
Redesign of the coal gate on a 20 ton/hour chain grate boiler at pt sopanusa Suhariyanto; Rusdiyana, Liza; Dika Andini Suryandari; Dimitra Meidina Kusnadi; Hafizh Naufal Atho’ulloh
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 4 No 2 (2025): December
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v4i2.9362

Abstract

A chain grate boiler is a type of boiler with a moving grate system to transport solid fuel through the furnace. The coal gate regulates the distribution flow of coal from the hopper to the furnace. In the 20 tons/hour capacity chain grate boiler at PT Sopanusa, the existing coal gate experienced mechanical failure due to damage to components in the roller chain, shaft, and bearings, so that it could not operate as a coal distribution regulator. To overcome this problem, it is necessary to redesign the coal gate on the 20 tons/hour capacity boiler chain grate hopper at PT Sopanusa. The main components, such as the chain, sprocket, worm gear, shaft, bearing, and pin on the coal gate, need to be redesigned to avoid mechanical failure of the coal gate. After redesigning the main components of the coal gate, a coal gate design that is compatible with the boiler chain grate construction will be obtained. The results of the coal gate redesign are as follows: a lifting chain with Chain Grade 80 type, 4 mm diameter, and a sprocket diameter of 320.92 mm; a worm gear with a ratio of 30:1 using hardened steel for the worm and phosphor bronze for the gear; a shaft with S45C material, 60 mm diameter; bearings using single row deep groove ball bearings, unit number ASB Bearing UCP 212; and pins made of SAE 1045 material with dimensions of 60x20x12 mm to support the manual coal gate mechanism on the 20 tons/hour capacity boiler chain grate at PT Sopanusa.
Co-Authors Abimanyu, Abiyyu Abyan Andino Septian Andreyanto - Ardiyanti Pratama, Tania Atria Pradityana Bambang Sampurno, Bambang Bayu Adhi Saputro Budi Luwar Sanyoto Dedy Zul Hidayat Noor Dika Andini Suryandari Dimitra Meidina Kusnadi Dzakwan Shidqul Aziz Eddy Widiyono Fatan Odhi Dandha Hafizh Naufal Atho’ulloh Hakim, M Lukman Heru Mirmanto Ika Silviana Widianti Jamot Damanik, Joel Juanda M. Lukman Hakim Mahirul Mursid Mashuri Mashuri Mashuri Mashuri Muhammad Lukman Hakim Nanda Ela Sasmita Nur Husodo Rivai Wardhani Rizaldy Hakim Rizaldy Hakim Ash Shiddieqy Rizaldy Hakim Ash Shiddieqy Subiyanto, Hari Suhariyanto Suhariyanto Suhariyanto Suhariyanto Suhariyanto Suryandani, Dika Andini Toriki, Mohammad Berel WINARTO Winarto Winarto Windarta, Kyla Anisa