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Mohamad Yamin
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Journal of Applied Science and Advanced Engineering
Published by Universitas Gunadarma
ISSN : -     EISSN : 29857252     DOI : https://doi.org/10.59097/jasae.v2i2
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Physics
JASAE | Journal of Applied Science and Advanced Engineering (ISSN: 2985-7252) is an international, multidiscipline, open access, peer-reviewed scholarly Journal published biannually for researchers, developers, technical managers, and educators in the field of science and engineering. The Journal aims to become an international forum for the research and development community to publish articles of the highest quality in all science and engineering disciplines. We invite you to submit your work to the Journal. Papers relating directly or indirectly to all aspects of these fields are also welcome to submit. JASAE intended to provide a forum for expressing new ideas and a place to expound on these areas of knowledge that can further understand science and Engineering issues and concerns.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 46 Documents
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Optimizing Thermal Management of Lithium-Ion Batteries Using Mini-Channel Cold Plates: Analysis of Cooling Fluids and Flow Rate Variations using CFD Setyawan, Iwan; Yaqien, Angga Ainul; Ridwan, Ridwan; Sutina, I Wayan; Winarta, Adi
Journal of Applied Science and Advanced Engineering Vol. 4 No. 1 (2026): JASAE: March 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i1.72

Abstract

Efficient thermal management is critical for improving the safety, performance, and service life of lithium-ion batteries, especially in electric-vehicle applications. This study evaluates a mini-channel cold-plate system by examining the effects of coolant type, mass flow rate, and channel enhancement on heat dissipation using computational fluid dynamics (CFD) supported by experimental validation. Four fluids, namely water, acetone, ethanol, and methane, were examined at mass flow rates of 1×10-5, 1×10-4, and 1×10-3 kg/s. Among the tested fluids, acetone produced the lowest maximum battery temperature of 28.0 °C at 1×10-3 kg/s, while methane showed the weakest thermal performance. Increasing the mass flow rate consistently reduced battery temperature, but it also increased pressure drop and pumping-power demand. The results indicate that coolant selection should be based not only on thermal performance, but also on pumping-power penalty, safety, and environmental considerations. Although acetone delivered the best cooling performance in this study, its flammability limits its immediate practical adoption. The findings provide design guidance for the development of more effective mini-channel cooling systems for lithium-ion batteries.
Experimental Development of a PIC-Based Intelligent Energy Management Controller for Voltage Regulation and Load Prioritization in Standalone Photovoltaic Home Systems Rifki Muhida; Ari Legowo; Muhammad Riza; Erry Y. T. Adesta; Riza Muhida
Journal of Applied Science and Advanced Engineering Vol. 4 No. 2 (2026): JASAE: September 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i2.88

Abstract

This paper presents the experimental development and evaluation of a PIC16F877A-based intelligent controller for voltage regulation and load prioritization in standalone photovoltaic (PV) home energy systems. The proposed system integrates a photovoltaic panel, battery storage, inverter, and embedded controller into a unified platform for efficient energy management. The controller continuously monitors battery voltage using an analog-to-digital converter and implements a threshold-based control strategy to disconnect non-critical loads when the voltage drops below 11.7 V. Experimental results show that the PV system maintains stable voltage characteristics within approximately ±3%, while the output current varies significantly with solar irradiance, exhibiting fluctuations of more than 60% under varying environmental conditions. The proposed controller effectively regulates system operation by dynamically managing load distribution, thereby preventing deep battery discharge and improving overall system reliability. In addition, the integration of auxiliary subsystems, such as automatic lighting and motion detection, enhances energy efficiency by reducing unnecessary power consumption. The findings demonstrate that the proposed low-cost PIC-based controller provides a practical and effective solution for intelligent energy management in standalone PV systems, particularly in off-grid residential applications.
An Experiential Learning Framework for Mobile Robot Control Education Using PID-Based Path Tracking Muhida, Rifki; Muhida, Riza; Adesta, Erry Y. T.; Riza, Muhammad; Legowo, Ari
Journal of Applied Science and Advanced Engineering Vol. 4 No. 1 (2026): JASAE: March 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i1.89

Abstract

Mobile robot path tracking is a fundamental problem in control systems and robotics and has been widely utilized as a platform for integrating multidisciplinary concepts in mechatronics education. This study proposes an experiential learning framework for mobile robot control using a PID-based path tracking approach. The framework integrates theoretical control principles with hands-on implementation through the development of a differential-drive mobile robot equipped with reflective sensor arrays and a microcontroller-based control unit. The PID controller is applied to regulate robot motion based on real-time feedback, and its parameters (Kp, Ki, Kd) are tuned experimentally using a structured trial-and-error procedure. Experimental results indicate that the PID controller improves tracking stability and reduces oscillatory behavior compared to proportional-only control. The optimal parameter configuration (Kp=0.8, Kd=0.32, Ki=0.2) achieves stable tracking performance across different trajectory conditions, including curved paths. From an educational perspective, the proposed framework supports experiential and project-based learning by enabling systematic analysis of control system behavior through iterative experimentation. This work provides a practical and scalable approach for integrating control theory and robotic implementation in mechatronics education.
Nanofluids for Automotive Radiators: A Review of Thermophysical Properties, Stability, Heat Transfer Performance, and Future Research Directions Amogh Sambare
Journal of Applied Science and Advanced Engineering Vol. 4 No. 2 (2026): JASAE: September 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i2.91

Abstract

The persistent demand for compact, high-efficiency automotive cooling systems has driven significant research into nanofluids as next-generation coolants. This review critically examines recent advances in mono, hybrid, and ternary nanofluids applied to automotive radiators, synthesising over experimental and numerical studies published between during last decade. Key thermophysical properties such as thermal conductivity, dynamic viscosity, density, and specific heat capacity are discussed alongside the principal factors governing their variation with nanoparticle concentration, temperature, particle geometry, and base fluid composition. Nanofluid preparation methodologies (one-step and two-step) and strategies for stabilising colloidal dispersions such as including surfactant addition, ultrasonication, pH control, and zeta potential management are evaluated against practical longevity requirements. Empirical correlations for property estimation are tabulated and critically compared. Heat transfer performance data from radiator studies are synthesised, revealing that carbon-based nanofluids (graphene, MWCNTs) consistently outperform metal-oxide counterparts in thermal conductivity enhancement (up to 161.8%), while hybrid and ternary formulations demonstrate superior combined performance due to synergistic inter-particle effects. Practical challenges such as including erosion, clogging, agglomeration, and increased pumping power requirements are assessed with emphasis on long-term system reliability. The review concludes with a structured agenda for future research, highlighting the need for standardised testing protocols, machine-learning-assisted property prediction, and compatibility studies with modern radiator materials.
Automated Mobile Platform for transporting a Residential Garbage Bin to the Collection Point Omar Ayman Hamzeh; Judhi Prasetyo
Journal of Applied Science and Advanced Engineering Vol. 4 No. 2 (2026): JASAE: September 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i2.92

Abstract

Waste disposal is a routine yet physically demanding household task. For residents of villas and townhouses, manually transporting garbage bins to roadside collection points presents significant challenges, particularly for elderly and mobility-impaired individuals. Missed scheduled pickups can result in waste overflow. To address this problem, this paper presents the design and evaluation of an autonomous mobile platform prototype capable of transporting a 35-liter trash bin to a collection point and returning within a residential driveway. The prototype utilizes an electric toy car as its base, incorporating an ESP-32 microcontroller, ultrasonic sensors for obstacle detection, infrared (IR) sensors for boundary navigation, and relay modules to actuate a garage door. The system was evaluated over 80 trials. During daytime testing, the final rotational maneuver achieved a 20% full-journey success rate, as intense ambient sunlight frequently overpowered the IR sensors. In contrast, nighttime trials yielded a 65% full-journey success rate, demonstrating improved performance when the sensors were not affected by daylight. These findings indicate that the IR sensors' sensitivity to daylight and the chassis' alignment issues during rotation limited the prototype's reliability, as the chassis struggled to realign with the boundary line after completing a U-turn. In summary, while the prototype demonstrates proof of concept and potential for automated waste transportation, further refinement of the navigational system and rotational maneuver is required for consistent and reliable operation.
Stress Analysis and Integrity Assessment of Offshore Gas Production Piping Systems Using CAESAR II and ASME B31.3 Edi Sutoyo; Muhammad Salas Hakim; Budi Hartono; Hablinur Al Kindi; Setya Permana Sutisna
Journal of Applied Science and Advanced Engineering Vol. 4 No. 2 (2026): JASAE: September 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i2.94

Abstract

Offshore gas production piping systems operate under high-pressure and elevated-temperature conditions, requiring accurate stress analysis to verify code compliance and ensure reliable structural performance. This study investigates the stress behavior of a piping system connecting a production well to a test manifold using analytical calculations and CAESAR II simulations in accordance with ASME B31.3. Engineering data, including piping geometry, material specifications, operating conditions, and support configurations, were obtained from project design documents. Sustained and thermal expansion stresses were first estimated using simplified analytical calculations and subsequently verified using CAESAR II simulations. The maximum sustained stress occurred at Node 9100, with analytical and numerical values of 124.00 MPa and 96.70 MPa, respectively, corresponding to a deviation of 28.24%. For the thermal expansion load case, the maximum stress was observed at Node 9320, yielding analytical and numerical values of 2.89 MPa and 2.44 MPa, respectively, with a deviation of 18.45%. These deviations are primarily attributed to the simplified assumptions adopted in the analytical calculations, differences in boundary condition representation, and the more detailed three-dimensional pipe flexibility modeling incorporated in CAESAR II. All calculated stresses remained below the allowable stress limits specified by ASME B31.3 (177.20 MPa for sustained loading and 206.84 MPa for thermal expansion loading). Therefore, the investigated piping system satisfies the code allowable stress requirements under the evaluated sustained and thermal expansion loading conditions. The findings demonstrate that simplified analytical calculations can provide a practical independent engineering verification of numerical simulations during preliminary piping design, while CAESAR II remains essential for comprehensive code-compliance evaluation.

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