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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) ELINVO (Electronics, Informatics, and Vocational Education) JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY JMM (Jurnal Masyarakat Mandiri) JISO : Journal of Industrial and Systems Optimization Journal of Energy, Material, and Instrumentation Technology Jurnal Algoritma Innovative: Journal Of Social Science Research Journal Geuthee of Engineering and Energy BEGAWE: Jurnal Pengabdian Masyarakat
Rifki Dwi Putranto
Universitas Telkom
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Implementation of closed-loop field-oriented control for PMSM on rehabilitation robot using BTS 7960 Nathalia, Vita Ayu; Adiputra, Dimas; Putranto, Rifki Dwi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp728-739

Abstract

The efficiency of control systems in permanent magnet synchronous motors (PMSM) is crucial, especially for applications in physiotherapy robots. Previous studies have demonstrated that an open-loop field-oriented control (FOC) driver using BTS7960 outperforms the commonly used electronic speed controller (ESC). This research addresses the challenge of further improving efficiency by employing a closed-loop FOC driver with the BTS7960. The research methodology involves two main stages. First, a PSIM software simulation of a closed-loop FOC using a proportional integral (PI) controller is conducted. The aim is to determine the P and I parameters that result in the smallest settling time, steady-state error, and overshoot in controlling the PMSM motor's rotation per minute (RPM). The second stage involves hardware implementation with the BTS7960, where the PMSM motor RPM is compared under various loads ranging from 10-gram to 60 gram. RPM results from both open-loop and closed-loop configurations are compared. The results show that the closed-loop FOC driver has improved system transient response compared to the previous open-loop FOC driver, notably reducing the settling time from 2.24 seconds to 1.45 seconds for a 60 gram load. Therefore, this research concludes that a closed-loop configuration with well-tuned PI parameters can deliver better performance compared to open-loop methods, as clearly demonstrated.
Design and implementation of 2 kW BLDC motor for e-scooter electric vehicle according to Indonesian bicycle conversion standards Dwi Putranto, Rifki; Haichal Sukino, Rifansyah Fitrah
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.58

Abstract

The main challenge faced by many countries is the limited fossil fuels due to the dwindling supply of fuel oil. Indonesia itself faces serious problems in providing sufficient fuel, even having to import from other countries, which can have a negative impact on the energy needs of its growing population. To overcome this problem, the use of renewable energy sources is a very relevant alternative solution. Renewable energy needs to be expanded, especially with the increasing price of fuel. One of the most prominent examples is the use of electrical energy. Electric motors have become a major focus in the development of electric vehicle technology and various industrial applications. One type of electric motor that is increasingly popular is the BLDC motor. The use of inefficient BLDC motors can cause significant energy waste, one of the factors that affects the design of BLDC motors is the winding configuration. This study aims to improve the performance of the 2kW electric motor dynamo to meet government regulations on electric vehicle conversion standards. BLDC motors are vital components in various industrial and transportation applications due to their high efficiency. This study focuses on the analysis of the BLDC motor winding configuration to achieve optimal energy efficiency by developing existing products. This study conducted simulations using Ansys Motor-CAD and performance tests were carried out under various load conditions. The results of the study showed an increase in efficiency from 82% to 87% and motor torque through variations in the winding configuration was obtained from 42 Nm to 54 Nm according to the results of the traction analysis of 44 Nm. This is expected to support the development of electric vehicles such as electric scooters.
Enhancing BLDC Motor Performance with Wheel-Hub Design by Modify Coil Configurations Putranto, Rifki Dwi; Hafidz, Isa; Kholima, Henko; Putri, Nur Wahyuni
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 3 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.359

Abstract

This paper presents an analysis of the design method of a BLDC (Brushless DC) motor with a wheel-hub structure. This study examines how variations in winding configuration affect motor performance. A 650W wheel-hub BLDC motor will be tested by modifying its stator design, including variations in the number of wires, the number of parallel circuits, and the diameter of its conductor. The test focuses on the effect of these changes on the torque, efficiency, output power and rotational speed of the motor.The test was carried out using standard sized wires. The results show that appropriate winding arrangements can increase motor torque and speed. When the parallel circuit configuration is used, the motor efficiency increases and the wire diameter is optimized. Based on the design implementation carried out, the 650W hub-type BLDC motor tested was able to achieve a maximum power of 956W, a maximum speed of 477 rpm, and a maximum torque of 41 Nm. In addition, the highest efficiency achieved was 86% at a torque of 31.8 Nm, a speed of 239 rpm, and a power of 956W.The results of this study emphasize the importance of proper winding configuration in optimizing motor performance. This winding configuration selection procedure is expected to be a reference in the manufacture of wheel-hub BLDC motors.
DISEMINASI SERTA STUDI KELAYAKAN HIDROPONIK BERBASIS TENAGA SURYA UNTUK MENDUKUNG EKONOMI KAMPUNG SONGO SIMOMULYO YANG BERKELANJUTAN Adiputra, Dimas; Sayid Albana, Abduh; Dwi Putranto, Rifki; Ramadaniputra, Nursyahjaya; Aliffah Rizkiningtyas, Nur; Faiz Fanani, Ahmad
BEGAWE: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2024): BEGAWE: Jurnal Pengabdian Masyarakat, April 2024
Publisher : Lembaga Berugak Baca

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62667/begawe.v2i1.88

Abstract

Desa Songo adalah sebuah desa di Surabaya yang menggalakkan aktifitas urban farming untuk ketahanan pangan lokal. Tidak hanya itu, kegiatan urban farming juga dapat menjadi sumber pendapatan sebuah desa karena harga komoditas hidroponik yang cukup bersaing dibandingkan dengan komoditas non-hidroponik. Pada kegiatan ini, tim pengabdian melakukan diseminasi unit hidroponik berbasis tenaga surya yang dapat beroperasi tanpa menggunakan tenaga dari PLN. Diseminasi hidroponik berbasis tenaga surya ini diharapkan dapat berjalan secara berkelanjutan sehingga dapat memenuhi kebutuhan pangan desa juga dapat menjadi sumber pendapatan desa. Hidroponik yang didiseminasikan memiliki 300 lubang tanam, sumber tenaga baterai 12V 200Ah dan panel surya 900Wp dengan dukungan inverter 1kw. Terdapat pompa air hidroponik yang dapat dinyala matikan menggunakan saklar manual. Peramalan profit sederhana dilakukan untuk melihat potensi dari hidroponik yang didiseminasikan. Hasilnya menunjukkan bahwa hidroponik yang didiseminasikan dapat menghasilkan keuntungan akhir Rp 19.232.727 sehingga dalam waktu 13 bulan akan terjadi balik modal dari investasi perangkat hidroponik yang telah dilakukan sebelumnya. Hasil peramalan ini juga terpengaruh dengan beberapa asumsi pesimis seperti maksimal hasil panen bagus adalah 90% dan hasil panen terendah yang terjual hanya 50%. Dengan demikian sumbangsih nyata perangkat hidroponik terhadap ekonomi Desa Songo diprediksi akan terjadi pada bulan ke-13 setelah balik modal terjadi.
Analysis of Solar Powered Charging Station with Offgrid System for Two-Wheeled Electric Vehicle Needs at Telkom University Surabaya Rifki Dwi Putranto; Hafidz, Isa; Faricha, Anifatul
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20164

Abstract

This study focuses on the analysis of the needs and determination of the capacity of the solar power plant (PLTS) components used as an energy source at a public electric vehicle charging station (SPKLU) or often called a charging station to charge electric motorbike batteries at Telkom University Surabaya. Calculations are carried out to obtain: the area of ​​the solar module, the power required, the number of solar modules, the MPPT capacity, the backup battery, and the duration of charging the electric vehicle. The research method used is a research method with an approach calculation by comparing several similar references related to planning in building a PLTS with an offgrid system. The battery data collection method is carried out by observation, literature study and collection of weather condition data through the East Java BMKG. The results of the study show that with a solar intensity of Gav 4.32 kWh / m2 / day, a module array area of ​​5,268.3 m2 is required. With a sunlight intensity of 1000 W / m2, the power generated by the area is 1,053 Wp. The solar panel specifications use 375 WP, with a total of 3 panels arranged in series. The system can produce 1,122.98 Wp of power. The SCC produces 15.59 A. The charging time required is 7 hours and 30 minutes. Keyword: Battery, Charging Station, Electric Vehicle, PLTS
Implementasi Fuzzy Inference System untuk Klasifikasi Gas Karbondioksida Faricha, Anifatul; Arif, Rangga R.; Adiputra, Dimas; Dwi Putranto, Rifki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2840

Abstract

Good air quality is vital for human health, one important factor being the range of carbon dioxide levels that can be tolerated by the respiratory system. In this study, the type of gas sensor used was an electrochemical sensor, which has a higher level of selectivity than semiconductor sensors, resulting in more accurate carbon dioxide gas measurements and easier air quality classification. For carbon dioxide readings, this study used an MG-811 gas sensor. Carbon dioxide readings were also compared with a commercial gas measuring device, namely BOSEAN. In addition, the fuzzy inference system method was used to classify air quality into three levels of conditions, namely low, normal, and alert. Based on the data analysis results, the mean absolute percentage error (MAPE) value for the comparison of carbon dioxide gas readings between the MG-811 gas sensor and BOSEAN is 2.23%. Overall, the fuzzy inference system that has been developed works well and can be used to classify air quality automatically.
Design and Construction of Electric Car Chassis for KMLI Competition Needs Using Solidwork Rifki Dwi Putranto; Zenkey Soma Mahendra; Rahaditya Dimas Prihadianto
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 2 (2025): December 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i2.15176

Abstract

The purpose of this study is to obtain a lightweight electric car frame design, providing a sense of security and comfort with the intention of being the basis for the placement of the steering, engine, battery, vehicle body, and other components for the needs of the Indonesian Electric Car Competition. This study was conducted using the Research Development method with the help of software that is capable of making a model in the form of a 3-dimensional image, in this case the software used is Solidwork software. Based on the results of the study, it can be concluded that: (1) Chassis design using Solidwork software with the design of KMLI competition needs before implementation (2) Car frame design with a 2000 watt BLDC motor specification with a 1/2 inch Black Iron Pipe frame material. (3) Analysis of the frame height when receiving a load of 100 kg is 16.5 cm with a chain ratio of 1500 rpm
Performance Analysis of Electric Motorcycles as Logistics Vehicles Rifki Dwi Putranto; Julia Putri Maharani; Darul Panji Khakiki; Ryan Nur Saputro; Afredo Oktaviano
Journal of Energy, Material, and Instrumentation Technology Vol 7 No 2 (2026): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.483

Abstract

This study analyzes the performance of a 3000 W Brushless Direct Current (BLDC) motor implemented in the E-Ninja Tel-U Surabaya electric motorcycle, which was converted from a conventional motorcycle for logistics applications. The research focuses on evaluating energy consumption, motor efficiency, and vehicle performance under different operational conditions. Testing was conducted using a 72 V 24 Ah lithium-ion battery system with variations in speed ranging from 30–60 km/h and payloads of 100 kg and 150 kg. The analysis includes charging–discharging characteristics, traction force calculations, rolling resistance, aerodynamic drag, climbing force, and acceleration force. Electrical parameters such as voltage, current, power, and energy consumption were measured using a PZEM Energy Meter, while speed and travel distance were monitored through a GPS Speedometer application. The results show that higher vehicle speed and heavier payload significantly increase power consumption due to greater aerodynamic drag, rolling resistance, and motor workload. The most efficient operating condition was achieved at speeds of 30–40 km/h with the lowest energy consumption of 29.27 Wh/km. Increasing the load from 100 kg to 150 kg caused proportional growth in energy consumption because the motor required higher torque to maintain constant speed. In addition, the 72 V battery charging system with a 5 A charger demonstrated stable and efficient three-stage charging performance within approximately five hours. The findings indicate that BLDC-based electric motorcycle conversion is a feasible and sustainable transportation solution for logistics operations, supporting energy efficiency and the achievement of Sustainable Development Goals (SDGs) related to clean energy and carbon emission reduction.
Solar-Powered Organic Leaves Waste Shredder Machine with IoT-Based Monitoring Integration Isa Hafidz; Gilbert Wednestwo Samuel; Christian Jose Anto Kurniawan; Hernadimas Alfattah; Rifki Dwi Putranto
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i1.82364

Abstract

Organic waste management relying on conventional nonrenewable energy, which produces significant carbon emissions, poses challenges to environmental pollution. A shift to sustainable waste management practices prioritizing renewable energy sources and reducing greenhouse gas emissions is needed. This study aims to design and develop a prototype of an organic waste shredder powered by solar panels, integrating IoT technology to address the environmental impact of traditional shredding methods. The solar-powered shredder is portable and addresses challenges in processing organic waste, especially dry leaves, while promoting renewable energy use in composting. The portable machine operates with a 30-watt, 12-volt DC motor, achieving a maximum speed of 3500 RPM, and features a Blynk-based monitoring system for real-time control and data analysis. Key sensors, including the INA219 and load cell, demonstrate low error rates. The shredder processes various leaf types, with production capacities of 23.96 kg/hour for grape leaves, 20.18 kg/hour for ketapang leaves, 19.93 kg/hour for cherry leaves, and 21.6 kg/hour for mango leaves, achieving 93.09% and 95.17%. The portable power station fully charges in 15 hours and provides up to 18 hours of continuous power. The Blynk application monitors and controls the system within a 9-meter range before disconnection. By integrating solar energy and IoT technology, this device offers a sustainable alternative to traditional shredding methods, reducing carbon emissions and promoting environmentally friendly waste management practices.
Implementasi Sistem Klasifikasi Kualitas Udara Menggunakan Sensor Gas dan Jaringan Saraf Tiruan Anifatul Faricha; Dimas Adiputra; Rifki Dwi Putranto
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3388

Abstract

Indoor air quality is an important factor for human respiration. In enclosed spaces, especially with increased activity and the number of occupants, pollutants such as carbon dioxide may increase, while oxygen levels may decrease. Therefore, a classification system is needed to determine indoor air quality. In this study, we designed an air quality measurement device using two types of gas sensors, namely carbon dioxide and oxygen sensors. The carbon dioxide gas sensor used was the MG-811, while the oxygen gas sensor used was the Gravity I2C. In addition, an artificial neural network was implemented as the air quality classification method, divided into three categories: normal, wary, and dangerous. The classification process was divided into two stages: training and testing. Based on the experimental results, an error value of 0.016 was obtained with 274 epochs during the training process. Meanwhile, in the testing process, the achieved accuracy was above 90 percent, indicating that the artificial neural network was successfully implemented for air quality classification.
Co-Authors Abduh Sayid Albana Adi Candra Adiputra, Dimas Afredo Oktaviano Aliffah Rizkiningtyas, Nur Anifatul Faricha Anita Hakim Nasution Arif, Rangga R. Benazir Imam Arif Muttaqin Chaironi Latif Christian Jose Anto Kurniawan Darul Panji Khakiki Dimas Adiputra Dominggo Bayu Baskara Faiz Fanani, Ahmad Gilbert Wednestwo Samuel Haichal Sukino, Rifansyah Fitrah Hernadimas Alfattah Hernadimas Alfattah Isa Hafidz Julia Putri Maharani Kholima, Henko Lusia Febrianty Daeng Muhammad Evan Permana Nathalia, Vita Ayu Putri, Nur Wahyuni Rahaditya Dimas Prihadianto Ramadaniputra, Nursyahjaya Ryan Nur Saputro Susijanto Tri Rasmana Yayoung Zheka Hardynarta Zenkey Soma Mahendra