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All Journal ELKHA : Jurnal Teknik Elektro Jurnal Teknik Elektro Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Specta Journal of Technology Majamecha Jurnal Teknik Elektro dan Komputasi (ELKOM) E-Link: Jurnal Teknik Elektro dan Informatika Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Pengabdian Masyarakat Indonesia Power Elektronik : Jurnal Orang Elektro
Saputra, Riza Hadi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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Performance Degradation Evaluation of a Lithium-Ion Battery from Multiple SoC Measurements Saputra, Riza Hadi; Marindra, Adi Mahmud Jaya; Nursyeha, Muhammad Agung; Fariyani, Dwi Kurnia Agung
Jurnal Teknik Elektro Vol 14, No 2 (2022): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v14i2.40226

Abstract

Lithium-Ion (Li-ion) battery is essential in today's energy systems and electric vehicles (EVs). Although Li-ion battery can be charged quickly and have a high energy density, it has several drawbacks, including the rapid degradation of battery performance, especially in terms of battery capacity. Therefore, evaluating its performance degradation is necessary to understand its characteristics. In this paper, the performance degradation of a Li-ion battery is monitored and evaluated from multiple SoC measurements. A simple and low-cost experimental setup consisting of sensors, a microcontroller, and a PC is developed to measure and record the real-time data of Li-ion battery voltage and current. Then, the battery state of charge  (SoC) is determined using the Coulomb Counting method, which is based on the incoming and outgoing currents of the battery. As a result, this study derives three parameters that indicate the performance degradation of a Li-ion battery, i.e., SoC, battery capacity, and discharge time. From multiple direct measurements with constant load and C20 discharge process, the minimum SoC value increases from 11% to 18%, while battery capacity decreases from 8.8Ah to 8.3 Ah and, discharge time decreases from 16.9 hours to 16.4 hours. All of those parameters indicate a degradation of around 7% in battery performance. Therefore, this research paves the way for finding a solution to mitigate the quick performance degradation of Li-ion batteries.
Perancangan Plant Automation untuk Battery Monitoring System Menggunakan Arduino Uno Saputra, Riza Hadi; Sugiarto, Kharis; Lesmana, Muhammad Faisal
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 6, No 1 (2024): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v6i1.10062

Abstract

BMS (Battery Monitoring System) merupakan contoh penerapan otomasi dalam pengawasan dan pemantauan baterai. Dalam perancangan otomasi pada BMS sederhana, terdapat empat parameter yang diawasi, yaitu tegangan, arus, temperatur, dan SOC (State Of Charge). Pada parameter tegangan, terdapat selisih antara nilai yang dihasilkan dengan multimeter dan nilai yang ditampilkan pada database, yakni sekitar 0.1 V hingga 0.35 V. Meskipun terdapat perbedaan tersebut, hasil analisis menggunakan Mean Squared Error (MSE) menunjukkan nilai sekitar 0.19, yang mengindikasikan bahwa alat yang dibuat dapat dianggap layak. Parameter arus listrik juga mengalami perbedaan antara nilai yang diukur dan nilai sebenarnya. Nilai arus negatif menunjukkan tidak adanya beban yang terhubung, sedangkan nilai arus positif menunjukkan adanya beban yang terhubung. Terdapat selisih antara nilai arus listrik yang diukur dan nilai sebenarnya sebesar 0.002 A hingga 0.02 A, dengan nilai MSE percobaan sebesar 2. Pada parameter SOC, terdapat kesulitan dalam penggunaan sintaks "map" yang mengakibatkan banyak kesalahan saat terjadi penurunan tegangan. Nilai selisih SOC berkisar antara 1% hingga 10%, dan menghasilkan nilai MSE sebesar 4.39. Terakhir, parameter temperatur juga menunjukkan selisih antara nilai pengukuran dan nilai sebenarnya sebesar 0.0210C hingga 0.6450C. Hasil analisis MSE akan menjadi dasar untuk mengevaluasi keberhasilan alat otomasi yang dirancang. Evaluasi ini penting dalam menentukan apakah alat tersebut memenuhi standar yang ditetapkan dan dapat diandalkan dalam pemantauan baterai. Dengan demikian, pemahaman terhadap hasil otomasi pada BMS sederhana ini memberikan kontribusi penting dalam pengembangan teknologi otomasi yang lebih efektif di masa depan.
Estimasi State-Of-Charge Menggunakan Simulink Pada Baterai Pembangkit Listrik Tenaga Surya Sugeng, Bambang; Saputra, Riza Hadi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 3 No. 1 (2019)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v3i1.89

Abstract

Sudah tidak bisa ditutupi lagi bahwa saat ini Indonesia sedang krisis energi dimana permintaan lebih banyak daripada pemasokan energi listrik. Hal ini juga diiringi dengan semakin canggih teknologi akan semakin banyak membutuhkan energi listrik. Oleh karena itu, saat ini juga sedang disibukkan penelitian tentang energi terbarukan dimana bisa membantu perusahaan energi listrik konvensional. Salah satu energi terbarukan tersebut adalah pembangkit listrik tenaga surya, dimana energi cahaya matahari yang terserap ke sel surya dalam bentuk foton yang ketika energi ini mengenai permukaan sel surya, maka elektronnya akan tereksitasi dan menimbulkan aliran listrik. Namun tidak hanya komponen sel surya yang ada pada pembangkit listrik tenaga surya, ada beberapa bagian yang salah satunya adalah baterai sebagai tempat penyimpanan listrik. Baterai sangat berperan penting dalam pembangkit listrik tenaga surya. Jika baterai tidak diawasi dengan benar, maka baterai dapat mengalami penurunan performansi dan hal ini berkesinambungan dengan penurunan performansi dari sel surya. Ada beberapa parameter yang dapat mempengaruhi performansi baterai yang salah satunya adalah SOC (State-of-Charge). Dalam penelitian ini bertujuan untuk mengetahui estimasi SOC dengan aplikasi MATLAB dan pemodelan SIMULINK. Hasil yang didapatkan adalah baterai bekerja pada rentang SOC 30% untuk batas bawah dan 90% untuk batas atas dengan asumsi baterai yang digunakan adalah baterai baru yang belum mengalami banyak siklus pengisian dan pengosongan.
Design of Micro Wind Power Plant using Dual Savonius Turbines Saputra, Riza Hadi; Risna, Risna; Oktafiani, Fitri; Sampurno, Yusuf Cahyo; Ardito, Jheskia
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.623

Abstract

Wind power plants are one of the renewable energy solutions that are environmentally friendly and sustainable. The success of such plants heavily depends on the location, which plays a crucial role in determining the availability of wind. In addition to highlands, coastal areas can serve as suitable locations. Balikpapan, with its expansive coastlines, holds significant potential for harnessing wind energy as a source of electricity. However, the utilization of this wind energy, particularly on a micro-scale, remains suboptimal. Research conducted over three days recorded wind speeds between 4 m/s and 5 m/s, generating voltages between 3 volts and 4 volts, which is only 1/3 of the total potential voltage. There is still an untapped potential of about 2/3 or 6 volts that could be harnessed if wind speeds reach 12 m/s to 15 m/s. The study concludes that the wind speed at Airport Beach is not yet sufficient to produce the maximum possible voltage. The current wind speeds are only capable of powering a 5-volt capacity light, with the generated energy stored in a battery for later use.
Destilasi Air Laut Menggunakan Sensor Peltier Sahara, Ain; Saputra, Riza Hadi; Yuniarti, Yuniarti; Ryka, Hamriani; Saputra, Muhammad Reza
Majamecha Vol. 6 No. 2 (2024): Majamecha
Publisher : Program Studi Teknik Mesin, Fakultas Teknik, Universitas Islam Majapahit, Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamecha.v6i2.3290

Abstract

Air merupakan salah satu sumber daya alam yang penting bagi kehidupan. Air digunakan untuk memenuhi kebutuhan sehari-hari manuasia, seperti minum, mandi, memasak, dan mencuci. Saat ini sumber air bersih sangat sulit ditemukan, dan membutuhkan penangan yang komples untuk dapat menjangkaunya, sehingga terjadi kelangkaan air bersih terjadi di area yang mempunyai kepadatan penduduk yang tinggi, dan pada saat musim kemarau. Kebutuhan air bersih menjadi hal pokok yang harus terpenuhi untuk keberlangsungan kehidupan manusia, sehingga dicari berbagai macam solusi untuk memecahkan permasalahan tersebut, salah satunya adalah dengan melakukan filtrasi air laut dengan metode destilasi air laut menggunakan sensor peltier yakni dengan mengubah air asin menjadi air tawar melalui proses pemanasan dan penguapan. Tujuan penelitian ini adalah membuat prototipe alat destilasi air laut menjadi air tawar. Alat ini bekerja dengan cara memanaskan air laut sampai titik didih tertentu. Dalam pendinginannya menggunakan peltier sebagai sumber pendigin, suhu dingin dari peltier berfungsi mendinginkan air pada kotak pendingin yang dilalui pipa destilasi yang mengalirkan uap air dengan pH air 5,46.
PERANCANGAN SISTEM SCADA BATTERY MANAGEMENT SYSTEM MENGGUNAKAN MYSQL DAN WONDERWARE INTOUCH Saputra, Riza Hadi; Nursyeha, Muhammad Agung; Chilmi, Muchammad
E-Link: Jurnal Teknik Elektro dan Informatika Vol 18 No 2: Oktober 2023
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v18i2.5171

Abstract

Permasalahan utama pada Battery Management System (BMS) adalah keterbatasan dalam pengumpulan data lapangan dan keterlambatan dalam pengambilan keputusan darurat. Solusi yang telah digunakan sebelumnya adalah penggunaan SCADA untuk mengintegrasikan data dari peralatan yang tersebar. Namun, dalam konteks BMS, diperlukan integrasi data dari berbagai sensor seperti tegangan, arus, dan temperatur. Metode penelitian melibatkan integrasi sensor-sensor relevan ke dalam sistem SCADA yang ada, dengan harapan meningkatkan efisiensi, keamanan, dan responsivitas dalam manajemen baterai, dengan potensi aplikasi dalam berbagai industri seperti kendaraan listrik dan energi terbarukan. Penggunaan BMS sangat penting karena memecahkan beberapa permasalahan kritis dalam manajemen baterai. BMS melindungi baterai dari kondisi berbahaya seperti overcharging dan overheating, serta memaksimalkan kinerja baterai. Dalam penelitian ini, telah dibuat SCADA menggunakan WW Intouch sebagai tampilan dan MySQL sebagai penyimpan data pada baterai lithium yang dihubungkan dengan sensor tegangan, arus, dan temperatur. Hasil dari percobaan ini didapatkan adalah nilai tegangan yang ditampilkan pada database berbeda dengan yang dikalibrasi. Besar nilai galatnya yaitu 7% dengan tingkat akurasi sebesar 93%. Database dibuat untuk menyimpan data tegangan, arus, temperatur, dan SOC yang telah diperoleh dari Arduino.
Optimalisasi Filter Sumur Bor dan Embung ITK Berbasis Tenaga Surya untuk Peningkatan Pelayanan Sarana dan Prasarana Priyanto, Yun Tonce Kusuma; Farid, Mifta Nur; Dewanto, Muhammad Ridho; Sugiarto, Kharis; saputra, Riza Hadi
Power Elektronik : Jurnal Orang Elektro Vol 14, No 1 (2025): POWER ELEKTRONIK
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/polektro.v14i1.8494

Abstract

The limited supply of conventional energy poses a challenge in operating essential facilities at Institut Teknologi Kalimantan (ITK), particularly in the water filtration system and reservoir management. To address this issue, this study proposes the implementation of an off-grid Solar Power Plant as a solution to enhance energy independence and improve the quality of clean water services on campus. This research aims to design and analyze the performance of an off-grid Solar Power Plant system in supporting water pump operations while evaluating its efficiency in providing sustainable energy. The designed system utilizes three solar panels with a total capacity of 1,635 WP, which is sufficient to meet the 243 W AC pump power demand. The generated energy is regulated using a Maximum Power Point Tracker (MPPT) to optimize power conversion and minimize energy losses. Additionally, a 1,000 Watt Pure Sine Wave inverter is employed to ensure the pump operates stably, while excess energy is stored in a 24V 180 Ah battery to maintain system operation during cloudy conditions or nighttime. The calculations indicate an energy surplus of 5.33 kWh, reinforcing the system’s reliability in meeting the energy needs of the water pump. With a recorded pump efficiency of 55.5%, this study demonstrates that the designed PLTS system is effective in providing sustainable energy. The implementation of an off-grid Solar Power Plant has proven capable of supporting optimal water pump operations, enhancing campus energy independence, and reducing reliance on conventional electricity sources.
Implementasi Sensor Inertial Measurement Unit untuk Sistem Odometri Kendaraan Otonom Nursyeha, Muhammad Agung; Saputra, Riza Hadi; Aprillia, Happy; Irwansyah, Fazri Rahmadi
SPECTA Journal of Technology Vol. 7 No. 2 (2023): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v7i2.784

Abstract

Odometry enables a moving object to be estimated its position. Odometry is the determination of the movement of a vehicle based on sensor data taken periodically. Positioning is needed in decision making in autonomous vehicles. Accurate positioning can result in making the right decisions in autonomous vehicles, resulting in safe operations on the traffic. Odometry on vehicles generally uses wheels that are connected to an encoder. Through this system, errors in determining position are accumulated due to loss of traction between the wheels and the road. An odometric system that does not require contact with the road is required to reduce mechanical losses due to slip. In this study, an odometric system is proposed that measures vehicle displacement based on the vehicle acceleration measured periodically. To measure vehicle acceleration, the odometry system is equipped with an IMU sensor. ARM-based microcontroller is used to acquire acceleration data and perform displacement calculations. Vehicle displacements are estimated using Kalman Filter. This research discusses the performance of using the IMU sensor for the odometry system through experiments. Based on the tests that have been carried out, the resulting accuracy of the proposed odometry system reaches 63.7%.
State of Charge Estimation on Lithium-Ion Batteries Using Particle Swarm Optimization Method Dewanto, Muhammad Ridho; Saputra, Riza Hadi; Sugiarto, Kharis; Saputra, Agung Adi
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.90020

Abstract

Lithium-ion battery management is crucial as their use grows in devices and electric vehicles. A key aspect is State of Charge (SoC) estimation, which indicates the battery's charge level at any given time. This research aims to develop a method that can provide accurate SoC estimates for Li-ion batteries using the Particle Swarm Optimization (PSO) method. In this research, a 12V 8.4 Ah Lithium-Ion battery was used as a test subject, utilizing a voltage sensor, ACS712 sensor, and LM35 temperature sensor to measure key parameters such as voltage, current, and temperature. The PSO approach was chosen because of its ability to find optimal solutions in complex search spaces, such as SoC estimation in batteries. Through a combination of the PSO algorithm and data generated from sensors, it is hoped that the SoC estimates produced can improve battery usage efficiency, extend service life, and increase the performance of systems that depend on batteries. PSO can provide more accurate predictions with smaller errors, both in terms of the RMSE value of 0.0391 and the MAPE value of 12.028%. The high accuracy of 87.972% of PSO also shows that this method is reliable for applications that require precise SoC predictions. It is hoped that the results of this research can become a basis for further research in the field of battery management and metaheuristic algorithm optimization. After all, this research aims to enhance battery management systems and deepen understanding of PSO-based SoC estimation.
IoT-Based Application Design for Battery Discharge Condition With C-Rate Variation Saputra, Riza Hadi; Giyantara, Andhika; Dewanto, Muhammad Ridho; Sawung, Jheskia Ardito
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.96225

Abstract

Lithium-ion (Li-ion) batteries are one of the most widely used energy storage technologies due to their advantages in high energy density, fast rechargeability, and efficiency. However, behind these advantages lie the weaknesses of lithium-ion batteries, namely that their performance and lifespan are greatly influenced by factors such as C-rate and lithium-ion battery temperature. A high C-rate can increase temperature and accelerate battery degradation, while a low C-rate tends to result in lower temperatures and more optimal capacity. This study aims to design an Internet of Things (IoT)-based State of Charge (SoC) monitoring system capable of real-time battery condition monitoring. The system uses an ESP32 microcontroller connected to a voltage sensor, an ACS712 current sensor, and an LM35 temperature sensor. The collected data is sent to Firebase and displayed through an Android application based on MIT App Inventor. The study focused on discharge cycles with varying C-rates: 1C, C/2, C/5, C/10, and C/20. SoC estimation was performed using the coulomb counting method. The results showed that as the C-rate decreases, the obtained capacity tends to increase, even exceeding the nominal capacity at C/20. Accuracy evaluation using RMSE yielded error values ranging from 0.12% to 4.04%. This system can serve as an effective solution for IoT-based battery monitoring
Co-Authors Aprillia, Happy Ardito, Jheskia Bambang Sugeng Chilmi, Muchammad Dewanto, Muhammad Ridho Farid, Mifta Nur Fariyani, Dwi Kurnia Agung Filiana, Firilia Fitri Oktafiani Giyantara, Andhika Irwansyah, Fazri Rahmadi Lesmana, Muhammad Faisal Marindra, Adi Mahmud Jaya Maulana, Hadi Muhammad Agung Nursyeha, Muhammad Agung Mujizaturachman, Mujizaturachman Nuryono, Aninditya Anggari Pandya, Felita Tsany Priyanto, Yun Tonce Kusuma Putra, Rizal Kusuma Rahman, Alvin Nur Ramadhan, Syahrul Fajar Risna Risna, Risna Rosalina Rosalina Ryka, Hamriani Sahara, Ain Sampurno, Yusuf Cahyo Saputra, Agung Adi Saputra, Muhammad Reza Sawung, Jheskia Ardito Septiana, Mustika Sugiarto, Kharis Yuniarti Yuniarti