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Automated Pneumatic System for Car Brake Pedal Test Ali Rospawan; Joni Welman Simatupang
Jurnal IPTEK Vol 25, No 2 (2021)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2021.v25i2.2349

In the automotive industry especially in the car production company, after filling the brake fluid oil, the brake fluid should be distributed from the brake fluid oil reservoir tank to all the braking system components. Unfortunately, the oil is not well distributed even an air trapped inside. To prevent the new car brake problem, to replace the human pressing the brake pedal manually, to reduce the manpower effort, and to detect the problem as soon as possible after filling the brake fluid oil this automated pneumatic system for car brake pedal test device is created. This research was done by designing, simulating, create the actual device that is ready to use and implemented in the industry. The result is this system is working well after being successfully implemented. There are several achievements during its operation, especially manpower effort reduction. More safety for the manpower compared to pressing the pedal manually. Safety from electric shock because the system is designed using a full pneumatic system without electricity. Poka-yoke for brake oil leakage, for faster analysis and part replacement, and in the end, it also impacts on the increasing profitability.

Development of Hot Air Dryer Conveyor for Automotive Tampo Printing Parts Ali Rospawan; Joni Welman Simatupang; Irwan Purnama
Green Intelligent Systems and Applications Vol. 2 Iss. 1 (2022)
Publisher : Tecno Scientifica Publishing

This paper presents the development of a hot air dryer conveyor for the automotive industry in the tampo printing part process. The research started by designing and creating the actual device that is ready to use and be implemented in the industry. The method provides the detail of the drying chamber, hot air dryer, and its mathematical model. The chosen hot air dryer is Suiden SHD-9F II and is operated on the factory default setting of auto-tuning mode. The performance evaluation studies the indicator performance of hot air dryer for the chosen size of drying chamber, the robustness of the system against fluctuating environmental air change rate, the ducting capacity, and the damper opening value estimation performance. The result of this system is working well at specification requirement of air change rate from 15 to 21 at 80% of its maximum capacity for error compensation and its already being successfully implemented.

Microcontroller-Based Lead-Acid Battery Balancing System for Electric Vehicle Applications Ali Rospawan; Joni Welman Simatupang
Jurnal Elektronika dan Telekomunikasi Vol 21, No 2 (2021)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.128-139

In application of lead-acid batteries for electrical vehicle applications, 48 V of four 12 V batteries in a series configuration are required. However, the battery stack is repeatedly charged and discharged during operation. Hence, differences in charging and discharging speeds may result in a different state-of-charge of battery cells. Without proper protection, it may cause an excessive discharge that leads to premature degradation of the battery. Therefore, a lead-acid battery requires a battery management system to extend the battery lifetime. Following the LTC3305 balancing scheme, the battery balancing circuit with auxiliary storage can employ an imbalance detection algorithm for sequential battery. It happens by comparing the voltage of a battery on the stack and the auxiliary storage. In this paper, we have replaced the function of LTC3305 by a NUCLEO F767ZI microcontroller, so that the balancing process, the battery voltage, the drawn current to or from the auxiliary battery, and the surrounding temperature can be fully monitored. The prototype of a microcontroller-based lead-acid battery balancing system for electrical vehicle application has been fabricated successfully in this work. The batteries voltage monitoring, the auxiliary battery drawn current monitoring, the overcurrent and overheat protection system of this device has also successfully built. Based on the experimental results, the largest voltage imbalance is between battery 1 and battery 2 with a voltage imbalance of 180 mV. This value is still higher than the target of voltage imbalance that must be lower than 12.5 mV. The balancing process for the timer mode operation is faster 1.5 times compared to the continuous mode operation. However, there were no overcurrent or overtemperature occurred during the balancing process for both timer mode and continuous mode operation. Furthermore, refinement of this device prototype is required in the future to improve the performance significantly.

A Simple, Cheap and Precise Microcontroller Based DDS Function Generator Ali Rospawan; Joni Welman Simatupang; Irwan Purnama
Journal of Electrical And Electronics Engineering Vol 3, No 2 (2019)
Publisher : President University

In electronics design and troubleshooting, the function generator is an important and versatile electronic test equipment. But the prices of finished function generator sold on market is expensive and not everyone can afford it. In order to create an economic and reliable function generator, microcontroller-based DDS function generator designed. AD9833 is DDS based programmable function generator from Analog Devices, which capable to producing sine, triangular and square wave output. To make an easy to use and flexible function generator, AD9833 connected with 4x4 matrix membrane keypad and LCD 1602. The microcontroller-based DDS function generator successfully created. The waveform generated by AD9833 offers not only exceptional accuracy and stability, but also low phase noise, an excellent frequency change and sudden waveform change ability, its useful in a wide variety of testing applications.

Study on Setpoint Tracking Performance of the PID SISO and MIMO Under Noise and Disturbance for Nonlinear Time-Delay Dynamic Systems Ali Rospawan; Yukai Yang; Po-Hsu Chen; Ching-Chih Tsai
Green Intelligent Systems and Applications Vol. 2 Iss. 2 (2022)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v2i2.106

This paper presents a case study of the setpoint tracking performance of the proportional integral derivative (PID) controller on the Single-Input Single-Output (SISO) and Multi-Input Multi-Output (MIMO) nonlinear digital plants under Gaussian white noise and constant load disturbance for the nonlinear time-delay dynamic system. With the objective of getting a better understanding of the nonlinear discrete-time PID controller, we proposed a case study using two SISO and two MIMO digital plants, and then do the numerical simulations along with the addition of Gaussian white noise and load disturbance to simulate the real environment. In this paper, we compare the results of the system working with and without noise and load disturbance. The study result of this paper shows that on the discrete-time digital nonlinear plant, the PID controller is working well to follow the nonlinear setpoint even under heavy noise and load disturbance. The study compared the performance indexes of the controllers in terms of the maximum error, the Root mean square error (RMSE), the Integral square error (ISE), the Integral absolute error (IAE), and the Integral of time-weighted absolute error (ITAE).

IOT Application For Conveyor Motor Load Current And Temperature Monitoring Device for Factory Acceptance Test in Industrial Application Rospawan, Ali; Simatupang, Joni Welman; Purnama, Irwan
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 6 No. 2 (2022)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v6i2.553

In industrial application on machine manufacturer multinational company, especially on the conveyor manufacturing company, before delivering the conveyor to overseas customer, there are some regulations need to be complied to ensure the product quality is always good. The system to ensure the product quality before delivery is named by Factory Acceptance Test (FAT). The purpose of doing this is to gain the trust and satisfaction of the buyer company by ensuring the quality before delivery. To ensure the product quality, this device was designed following the customer check sheet and requirement by giving them reliable data of the load current on each line of the motor and the motor temperature. This device is consisting of WEMOS D1 mini as the main controller and an IoT device, thermocouple type K as a temperature sensor, MAX6675 as the driver of the thermocouple, SCT-013-005 as a split-core current sensor, Arduino Nano as the second controller, and LCD 2004 as a real-time display. The IoT Application for Conveyor Motor Load Current and Temperature Monitoring Device is successfully created with the output is a table of data and the line chart which consists of Load current on each phase (U1, V1, W1), the motor temperature, and the limitation of each data so the user is easier to determine the commissioning result of the Factory Acceptance Test.

A Benchmark Study of DeepLabV3+, U-Net++, and Attention U-Net for Blood Cell Segmentation Angelina, Clara Lavita; Rospawan, Ali
Green Intelligent Systems and Applications Volume 5 - Issue 1 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i1.607

Cell segmentation is a critical process in biomedical image analysis. This study evaluated the performance of three state-of-the-art deep learning models—DeepLabV3+, U-Net++, and Attention U-Net—using the Blood Cell Count and Detection (BCCD) dataset, which contains annotated images of blood cells. The models were rigorously analyzed through qualitative and quantitative evaluations, employing accuracy, precision, recall, and F1 score metrics. The results demonstrated that all three models achieved high segmentation performance, with U-Net++ excelling in accuracy (0.9740), precision (0.9511), and F1 score (0.9576), Attention U-Net achieving the highest recall (0.9692), and DeepLabV3+ providing a balanced performance across all metrics. Qualitative analyses revealed that U-Net++ delivered superior segmentation of complex and overlapping cell structures, while Attention U-Net exhibited exceptional sensitivity to dense cell clusters. Training and validation curves of the models confirmed their stability and generalizability, indicating efficient convergence without overfitting. By highlighting the unique strengths of each model, this study emphasized the importance of selecting architectures tailored to specific tasks. Future research will expand the application of these models to diverse biomedical datasets to further advance automated image analysis and its impact on healthcare outcomes.

Automated Pneumatic System for Car Brake Pedal Test Rospawan, Ali; Simatupang, Joni Welman
Jurnal IPTEK Vol 25, No 2 (2021)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2021.v25i2.2349

In the automotive industry especially in the car production company, after filling the brake fluid oil, the brake fluid should be distributed from the brake fluid oil reservoir tank to all the braking system components. Unfortunately, the oil is not well distributed even an air trapped inside. To prevent the new car brake problem, to replace the human pressing the brake pedal manually, to reduce the manpower effort, and to detect the problem as soon as possible after filling the brake fluid oil this automated pneumatic system for car brake pedal test device is created. This research was done by designing, simulating, create the actual device that is ready to use and implemented in the industry. The result is this system is working well after being successfully implemented. There are several achievements during its operation, especially manpower effort reduction. More safety for the manpower compared to pressing the pedal manually. Safety from electric shock because the system is designed using a full pneumatic system without electricity. Poka-yoke for brake oil leakage, for faster analysis and part replacement, and in the end, it also impacts on the increasing profitability.

Direct Control Strategy using Polynomial Fuzzy-Based Adaptive Fractional Order PID Controller Rospawan, Ali; Angelina, Clara Lavita; Samsuri, Faisal; Baihaqi, Muhammad Yeza; Halawa, Edmun; Munajat, Muhammad; Vincent, Vincent; Setiyadi, Surawan; Purnama, Irwan; Simatupang, Joni Welman
Makara Journal of Technology Vol. 29, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

This paper presents a novel direct control strategy using a polynomial fuzzy neural network-based adaptive fractional order proportional integral derivative (PFNN-AFOPID) controller for nonlinear and time-varying systems. The proposed approach integrates the enhanced flexibility of fractional order calculus PID with the superior nonlinear approximation capabilities of polynomial fuzzy models, enabling dynamic adjustment of all control parameters without requiring precise mathematical modeling of system dynamics. By extending traditional PID control with fractional-order operations, the controller achieves improved frequency response and robustness against disturbances. Experimental validation on a DC motor position control system demonstrates significant performance improvements. Compared to traditional PID, the proposed PFNN-AFOPID achieved a performance improvement of 53.69% in RMSE, 78.56% in ISE, 69.92% in IAE, and 83.98% in ITAE. When compared to the existing fuzzy neural network-based adaptive PID (FNN-APID), our approach delivered improvements of 21.06% in RMSE, 28.79% in ISE, 5.69% in IAE, and 32.86% in ITAE. These results confirm the superior capability of the proposed approach in handling system nonlinearities while maintaining precise control under varying operational conditions, without requiring prior system dynamics knowledge or extensive offline training.

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