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Bayesian networks approach on intelligent system design for the diagnosis of heat exchanger Dedik Romahadi; Fajar Anggara; Rikko Putra Youlia; Hifdzul Luthfan Habibullah; Hui Xiong
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.001

Abstract

The heat exchanger highly influences the series of cooling processes. Therefore, it is required to have maximum performance. Some of the factors causing a decrease in its performance are increased pressure drop in the Plate Heat Exchanger (PHE), decreased output flow, leakage, flow obstruction, and mixing of fluids. Furthermore, it takes a long time to conclude the diagnosis of the performance and locate the fault. Therefore, this study aims to design an intelligent system for the performance diagnosis of the PHE using the Bayesian Networks (BNs) method approach. BNs are applied to new problems that require a new BNs network model. The system was designed using MSBNX and MATLAB software, comprising several implementation stages. It starts by determining the related variables and categories in the network, making a causality diagram, determining the prior probability of the variable, filling in the conditional probability of each variable, and entering evidence to analyze the prediction results. This is followed by carrying out a case test on the maintenance history to display the probability inference that occurs during pressure drop on the PHE. The result showed that the BNs method was successfully applied in diagnosing the PHE. When there is evidence of input in the form of a pressure drop, the probability value of non-conforming pressure-flow becomes 61.12%, PHE clogged at 73.59%, and actions to clean pipes of 70.18%. In conclusion, the diagnosis carried out by the system showed accurate results.
A review towards Friction Stir Welding technique: working principle and process parameters Rikko Putra Youlia; Diah Utami; Dedik Romahadi; Yang Xiawei
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.001

Abstract

Friction Stir Welding (FSW) is a solid-state bonding process that employes tools that are not used up and can function to connect two opposite workpieces without melting the workpiece material. The friction force has been micro-structurally tested to reformat or transform the inner state of the structure properties (atomic formation) form in metal since the kinetic energy of friction has been utilised in one of the welding techniques. Right afterwards, the studies reported that the mechanical properties also underwent a significant deformation. The aim is to determine the effect of Welding Procedure Specification (WPS) product quality. As it develops through research and applied experiments, the branch of friction-based welding discipline can be classified depending on how the friction mechanism can produce the finest solid-state joint, which is suitable to the typical property of metal and can be maximised by joint configuration. Friction Stir Welding is a friction-based welding technique that uses the stirring tool to generate friction while the workpieces are stuck on the line of the FSW joint configuration. The relevant correlations amongst process parameters and inside its respective adjustable variables are constructed to the finest principles that produced top-grades empirical reports of the weld properties. In this review, the explanation of the working principle and clarification of process parameters are presented. The cited references are selected from creditable and verifiable articles and books in the last ten years. Expectedly, it will be able to pioneer a new face of simple and understandable review articles.
Resonance analysis of fan blade design using Finite Element Method Dedik Romahadi; Rikko Putra Youlia; Himawan S. Wibisono; Muhammad Imran
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.014

Abstract

Fan motors move liquids, such as air, in the gas phase from one place to another. The frequency of the fan blades, which are the main components of the fan motor, can vary. It is crucial to know the frequencies of each fan blade to avoid design failures caused by resonance. This research analyzes the effect of differences in the angle and number of blades on the natural frequency of the fan to avoid resonance with the motor rotation frequency. Modeling and simulation using the finite element method in the Solidworks application are used to determine the natural frequencies of the fan. Fans come in various configurations, with blades ranging from two to four, and blade pitch can be 25°, 30°, or 40°. Variations in the number of fan blades and changes in blade pitch show that the low mode shape does not affect the natural frequency, while the high mode has a negligible effect. The natural frequency of fan blades 2, 3, and 4 exhibits variations when operated with motors running at 25, 35, or 50 Hz. The findings imply that the fan blades' inherent frequency does not align closely with the motor rotational frequency, indicating that the design is safe.
Pelatihan Penulisan Surat Dinas Untuk Siswa/i SMK 10 Nopember Jakarta Utami, Diah; Youlia, Rikko Putra; Junaedi, Didi
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 2 No 1 (2024): April
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v2i1.107

Abstract

Official letter writing training for  students is an activity that aims to provide students with understanding and skills in writing official letters effectively and in accordance with applicable regulations. Official letters are a form of official communication in schools and other institutions, so it is important for students to understand how to write them well. Official letter writing training for students SMK aims to prepare them with the skills needed to communicate effectively in formal environments, both in the world of education and in the world of work. In this way, they are expected to be able to produce official letters that are clear, concise and in accordance with applicable standards.
Analisis Getaran Displacement Drum Roller Menggunakan FFT dan STFT Ilhamullah, Ilhamullah; Romahadi, Dedik; Youlia, Rikko Putra
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 12, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v12i1.16681

Abstract

Drum Roller adalah mesin yang dirancang untuk pengujian ketahanan ban mobil setelah proses produksi. Peralatan  berputar, dan realisasi diagnosis waktu nyata dari kesalahan getaran frekuensi umum sangat penting untuk memantau kondisi Drum Roller. Getaran yang tinggi dapat merusak bagian-bagian penting mesin dan mempengaruhi kualitas ban. Maka dengan itu, dilakukannya analisis getaran untuk mengidentifikasi kerusakan dengan Metode Fast Fourier Transform (FFT)  dan Metode Short Time Fourier Transform (STFT). Pemrosesan sinyal dilakukan dari input hasil pengukuran getaran berupa data domain waktu pada MATLAB kemudian metode FFT dan STFT diterapkan menggunakan fungsi filter jendela Hanning. Selanjutnya memvalidasi hasil analisis kerusakan. Berdasarkan hasil pengukuran getaran didapatkan sumber getaran terbesar pada posisi radial yaitu getaran yang dihasilkan sebesar 96 μm RMS. Dari grafik spektrum dan spektogram Fourier transform radial dan axial keduanya dapat disimpulkan bahwa adanya indikasi unbalance pada impeller dengan frekuensi 6.7 Hz yang menunjukkan satu kalinya frekuensi Drum Roller. Berdasarkan standar analisis getaran Displacement (ISO 10816-3), getaran Drum Roller masuk pada Zona C, bermakna mesin hanya diizinkan beroperasi dalam waktu singkat. Hasil analisis bahwa Drum Roller mengalami unbalance terbukti benar dengan turunnya nilai getaran menjadi 18 μm RMS.
Heat Mapping and Plastic Strain Radius Modeling of Dual-Tool Friction Stir Welds 6061 Aluminum Alloy Plate Using FEM Youlia, Rikko Putra; Utami, Diah; Romahadi, Dedik; Yishuang, Tang
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.28235

Abstract

This study investigates the effects of Dual-Tool Friction Stir Welding (DT-FSW) parameters on the weld quality of 8 mm thick 6061 aluminum alloy plates, specifically focusing on the elimination or minimization of the "pass-overlap zone" that’s a gap typically observed at the mid-section of the weld cross-section resembling characteristics of the Heat-Affected Zone (HAZ). To address ongoing debates regarding the optimal joint performance concerning this overlap, symmetric increases in the dimensions of both FSW tools were implemented to analyze resultant temperature fields and plastic strain adaptations at the weld interfaces. Simulation visualizations were conducted with tool density variations at intervals of 0.2 mm and 0.4 mm. Results indicate that increasing tool density, thereby reducing the distance between tool surfaces, leads to a decrease in peak temperatures generated during welding. This reduction in temperature correlates with a more uniform distribution of plastic strain rates across all layers of the material—upper, middle, and lower—with the leading edge exhibiting the most significant improvement in strain uniformity. Conversely, during the stabilization phase, a decrease in tool density (S) results in a reduction of the maximum equivalent plastic strain rate. These findings suggest that careful adjustment of tool density in DT-FSW processes can enhance weld quality by promoting more uniform mechanical and thermal properties across the joint.
DEVELOPMENT OF A PORTABLE MOTOR VEHICLE EMISSION TEST SYSTEM BASED ON ARDUINO WITH ANDROID INTERFACE Indah, Nur; Pangestu, Dimas Aji; Utomo, Satryo Budi; Youlia, Rikko Putra
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 5, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i2.18832

Abstract

This study takes a comprehensive approach by proposing the design of an innovative emission test tool for motorized vehicles. The primary objective of this tool's design is to establish an alternative emission testing apparatus based on Arduino AT-Mega 2560, proficient in capturing vehicle exhaust emissions. The underlying methodology involves an in-depth investigation of various components, including the MQ2 and MQ7 sensors, microcontrollers, and supplementary sensors. This meticulous observational process aims to unravel the fundamental principles that govern the functionality of these components. Subsequently, the study advances to the prototyping phase, manifesting in the creation of an Android-based emission test system. This system capitalizes on the integration of Arduino programming and App Inventor technology. The integrated system is devised to facilitate sensor data acquisition. The empirical results of the tests indicate that the developed tool effectively measures hydrocarbon gas and carbon monoxide gas concentrations, yielding readings of 6.31% and 3.73%, respectively, under engine conditions ranging from 1500 to 3000 rpm with error in regions 1.4% and 5.1% compared to a commercial instrument. However, during the testing phase, certain challenges surfaced. Notably, the presence of water particles within the tool, coupled with the generation of heat due to the accommodated exhaust gases, increased the temperature within the tool's enclosure. Consequently, the sensors' temperature escalated, resulting in erratic sensor behavior and unstable readings. Nonetheless, a significant advantage of the proposed tool lies in its real-time data visualization capability, which is particularly accessible through Android smartphones. This feature enhances the immediacy of test results, facilitating prompt analysis and decision-making. In conclusion, this study lays the groundwork for an innovative emission testing tool that demonstrates promise in addressing the air quality degradation stemming from vehicular emissions.
ENHANCING HIGH-SPEED PERFORMANCE: MODIFICATION OF BOOM BARRIER GATE WITH PUSH BRAKING SYSTEM FOR ETC APPLICATION Nafis, Muhammad Luthfi; Pranoto, Hadi; Youlia, Rikko Putra
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 5, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i3.23360

Abstract

Congestion at toll roads has become a pervasive issue in contemporary times, predominantly manifesting at toll booths during the payment process. A noteworthy contributor to this congestion has been identified as the sluggish operational speed of boom gates. In response to this challenge, a modification strategy was implemented to enhance the operational efficiency of existing boom gates. The primary modification involved substituting the conventional electric motor with a more advanced Brushless DC (BLDC) motor boasting a power rating of 660 watts. Additionally, an innovative augmentation integrated a motorcycle disk brake system into the boom gate mechanism. Replacing the original electric motor's internal brake system with the disk brake system aimed to optimize the overall performance of the boom gate. The integration of the motorcycle disk brake system was further complemented by incorporating the push braking system (knoken braking system), serving as the actuator instead of the traditional motorcycle lever handle. This strategic substitution was instrumental in activating the disk brake function at the boom gate. During peak rush hours, the modified boom gate underwent rigorous testing at both the Ciawi and Kelapa Gading toll gates. Results from the trial activities unveiled a remarkable improvement in the boom gate's operational speed. Specifically, the opening speed demonstrated an impressive surge of 51 percent, catapulting from 548 ms to 265 ms. Similarly, the closing speed exhibited a commendable enhancement of 44 percent, elevating from 602 ms to 332 ms. Furthermore, the boom gate cycle per hour experienced a notable escalation, increasing by 25 percent from 356 to 449 cars per hour. These findings underscore the efficacy of the implemented modifications in ameliorating congestion issues at toll booths.
Multiclass gas pipeline leak detection using multi-domain signals and genetic algorithm-optimized classification models Suprihatiningsih, Wiwit; Romahadi, Dedik; Pranoto, Hadi; Youlia, Rikko Putra; Anggara, Fajar; Rahmatullah, Rizky
Teknomekanik Vol. 9 No. 1 (2026): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v9i1.38372

Abstract

Pipeline networks are critical infrastructure for oil and gas transport because the occurrence of leaks can rapidly escalate into safety, economic, and environmental crises. Operators are practically required to identify the presence and type of leaks; however, applying multiclass recognition is challenging when labeled data and computing power are limited. Therefore, this study proposes a three-stage pipeline which consists of: (1) adopting the GPLA-12 dataset of acoustic or vibration signals spanning 12 leak types; (2) extracting multi-domain features by combining time-domain descriptors with Power Spectral Density (PSD)-based spectral features; and (3) applying a genetic algorithm (GA) as a wrapper for feature selection to enhance discriminability and reduce dimensionality, which was followed by benchmarking seven conventional classifiers and GA-based refinement of the top model with a focus on the feature subset and hyperparameters. A maximum accuracy of 96.35% was achieved on the GPLA-12 dataset with low computation time and a simple model architecture. The proposed pipeline also attained similar or better accuracy at substantially lower complexity and data requirements compared with prior deep CNN approaches. These results support timely multiclass decision-making in resource-constrained industrial settings. A key observation was that the focus was on supervised leak-type classification from acoustic or vibration signals, while localization, severity estimation, and multi-sensor fusion were beyond the scope of this study.
Pengenalan Robotika Yang Ergonomi Untuk Siswa SMK 10 Nopember Jakarta Utami, Diah; Widayat, Puspita Dewi; Youlia, Rikko Putra
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.325

Abstract

Robotics is a field that combines engineering, electronics, and programming to design and control robots. In the introductory robotics program at SMK 10 Nopember Jakarta, students will learn the basics of robotics, including the main components of robots, how automated systems work, and programming to operate robots. Forty-four students attended. The goal of this activity was to increase students' understanding of robotics technology, encourage creativity in technological innovation, and provide practical skills applicable to the automation and technology industries. With project-based learning, students will have the opportunity to design and build a simple robot. Students successfully built the robot, but some were unable to due to time constraints, so we provided video tutorials for them to work on outside of school hours.