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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Sinergi World Chemical Engineering Journal Jurnal Teknik Mesin International Journal of Community Service Jurnal Abdimas ADPI Sains dan Teknologi International Journal of Innovation in Mechanical Engineering and Advanced Materials Ramatekno Journal of Engineering and Technological Sciences
Romahadi, Dedik
Department Of Mechanical Engineering, Faculty Of Engineering, Universitas Mercu Buana
Religion Aerospace Engineering Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Community Service Apply Technology To Support A Green Economy In The Bait Qurani Islamic Boarding School In Bogor District Nurato, Nurato; Anah, Sri; Romahadi, Dedik; Enggar Pur nama , Rama; Arvisyah, Diar; Aditya, Bima
International Journal Of Community Service Vol. 4 No. 4 (2024): November 2024 (Indonesia - Thailand - Malaysia)
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v4i4.787

Abstract

Bait Qurani was founded in 2008, under the leadership of Ustad Mahsum Salim. This Islamic boarding school is here to build an intelligent, Hafiz and Moral generation based on sincere intentions fi sabilillah. The results of a survey by a team of lecturers and students from Mercubuana University show that there are several problems that occur in this Islamic boarding school, such as large piles of organic and inorganic waste, the absence of a data collection system for students and a lack of knowledge about product sales. Based on the background above, the aim of holding this PKM activity is to provide learning about the importance of this waste problem which must be overcome, through several activities, where this worthless waste will become valuable, namely through technological processing using a composter, where this organic waste will be processed by fermentation to produce liquid fertilizer that can be sold. Likewise, inorganic waste can be recycled into valuable and useful items such as wallets, etc. To collect student data in Islamic boarding schools, how to sell using Smart Application digital marketing. It is hoped that this community service activity can solve problems in Islamic boarding schools, student data collection will be easier and will improve economic levels, so that the welfare of managers will increase.
Evaluation of FIR bandpass filter and Welch method implementation for centrifugal pump fault detection Romahadi, Dedik; Feleke, Aberham Genetu; Adinarto, Tri Wahyu; Feriyanto, Dafit; Biantoro, Agung Wahyudi; Rachmanu, Fatkur
SINERGI Vol 29, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.2.007

Abstract

The motivation for this research is the high vibration observed during the operation of the centrifugal cooling water pump. Our study aims to assess the pump's state and check the vibrations to ensure the factors underlying the fault of the centrifugal pump in the alkaline chlorine factory. While previous studies have primarily used spectral amplitude results from the Fast Fourier Transform to analyze engine vibrations, we propose a different approach in this study. We employ the Finite Impulse Response (FIR) Bandpass Filter and the Welch Method, a practical analytic approach. The ISO 10816-3 standard is a benchmark of the RMS value to determine the pump's condition. The FIR Bandpass Filter and Welch Method prove to be highly effective in describing and modifying the vibrational signals of the centrifugal pump. The approach is particularly beneficial as it is consistent across sample rate settings, reduces the vibration of amplitude low, produces a smoother spectrum with only the primary frequency component, and segments the vibration signal into the frequency band-aids to identify the primary vibration source. The diagnostic results reveal increased vibrations at 1x, 2x, and ball pass frequency (BPF), indicating impeller damage and disappearance. Post-repair, the vibration value experiences a significant drop, as per the fault analysis results, further confirming the high effectiveness of our approach. These findings have practical implications for the maintenance and fault diagnosis of centrifugal pumps, providing a reliable and effective method for identifying and addressing issues. 
Development of Teak Wood Powder Epoxy Composite as an Alternative Material for CVT Motorcycle Roller Weight Susilo, R. Dwi Pudji; Fitri, Muhamad; Yafiq, Muhammad Sulthan; Hamid, Abdul; Romahadi, Dedik
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 7, No 3 (2025): Article in Press
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i3.33422

Abstract

This study developed an environmentally friendly composite material for use in roller weights of Continuously Variable Transmission (CVT) systems in motorcycles. The composite, made from teak wood powder (Tectona grandis L.F.) and epoxy resin, was formulated as an alternative to conventional PTFE (Polytetrafluoroethylene), which is less environmentally sustainable. The composite was fabricated using the hot-press method, with variations in the teak-resin composition ratios (60:40, 70:30, and 80:20) and hot-press temperatures (160°C, 170°C, and 180°C). The results showed that the composite with a 60:40 composition at 180°C and 20 bar pressure achieved the highest tensile strength of 25 MPa, exceeding that of conventional roller weight material (23 MPa). Tensile testing was conducted in accordance with ASTM D3039 standards. In addition to its superior mechanical performance, the material also utilizes biomass waste and has the potential to reduce production costs. These findings demonstrate that teak wood powder composite is a viable candidate for strong, durable roller weight applications and supports the development of more sustainable automotive components.
Electroencephalogram-Based Multi-Class Driver Fatigue Detection using Power Spectral Density and Lightweight Convolutional Neural Networks Suprihatiningsih, Wiwit; Romahadi, Dedik; Feleke, Aberham Genetu
Journal of Engineering and Technological Sciences Vol. 57 No. 4 (2025): Vol. 57 No. 4 (2025): August
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2025.57.4.2

Abstract

Driver fatigue is the primary factor contributing to traffic accidents globally. To address this challenge, the electroencephalogram (EEG) has been proven reliable for assessing sleepiness, fatigue, and performance levels. Although alertness monitoring through EEG analysis has shown progress, its use is affected by complicated methods of collecting data and labelling more than two classes. Based on previous research, the original form of EEG signals or power spectral density (PSD) has been extensively applied to detect driver fatigue. This method needs a large, deep neural network to produce valuable features, requiring significant computational training resources. More observations regarding feature extraction and classification models are needed to reduce computational cost and optimize accuracy values. Therefore, this research aimed to propose a PSD-based feature optimization on a lightweight convolutional neural network (CNN) model. Five types of statistical functions and four types of signal power ratios were applied, and the best features were selected based on ranking algorithms. The results showed that feature optimization using the Relief Feature (ReliefF) algorithm had the highest accuracy. The proposed lightweight CNN model obtained an average intra-subject accuracy of 71.01%, while the cross-subject accuracy was 69.07%.
Designing an intelligent system for vibration diagnosis of centrifugal water-cooling pumps using Bayesian networks Suprihatiningsih, Wiwit; Romahadi, Dedik; Genetu Feleke, Aberham
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp4390-4402

Abstract

Implementing monitoring methods is a viable method to reduce substantial damage to cooling water centrifugal pumps. Engaging in manual vibration analysis requires considerable time and a requisite level of competence. Small datasets pose challenges when applying classification systems that utilize linear classification models and deep learning. Given these issues, our proposal entails developing a system capable of autonomously, precisely, and accurately diagnosing vibrations using a limited dataset. The system is anticipated to possess the capability to detect multiple categories of mechanical defects, such as static imbalance, dynamic imbalance, misalignment, cavitation, looseness, and bearing corrosion. The Bayesian network (BN) structure was constructed using the MATLAB software. The input data parameters comprise vibration signals measured in the frequency domain and values representing phase differences. The constructed intelligent system was subsequently assessed using a dataset including 120 samples. The smart system can rapidly anticipate and precisely identify every form of harm with exceptional accuracy and sensitivity, relying on test outcomes. The test data analysis reveals that the intelligent system attained an average accuracy of 94.74%, precision of 95.32%, sensitivity (recall) of 93.67%, and F-score of 94.36%. 
Optimized Frame Design for Head Loss Testing Equipment Through Material Strength Analysis Wermasaubun, Hendrikus; Fitri, Muhamad; Hamid, Abdul; Romahadi, Dedik
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i1.18915

Abstract

This article presents the design and analysis of a frame for head loss testing equipment, crucial for evaluating flow losses in pipe installations. The objective was to develop a robust yet lightweight frame that could withstand the operational loads imposed by the testing equipment. The frame, which supports essential components such as pipes, venturi meters, elbows, and reducers, was constructed using ASTM A500 hollow sections with dimensions of 20 x 20 x 1.6 mm and 35 x 35 x 1.6 mm. These dimensions were selected for their balance between strength and weight, validated through strength analysis and SolidWorks simulations. Conducted at Universitas Mercu Buana, the project involved the design, manufacturing, and testing of the frame to determine its load-bearing capacity. The results from the SolidWorks simulations confirmed the frame's structural integrity, which was further validated by its successful application in a practical setup. This study demonstrates the effectiveness of a systematic design approach, integrating material selection, load analysis, and simulation to achieve an optimal solution. The findings contribute valuable insights into the use of ASTM A500 hollow sections in structural applications, particularly where both strength and weight are critical. This work sets a precedent for future designs in mechanical engineering, offering a reliable framework for developing durable and efficient testing equipment.
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.
ANALYSIS OF FIRE FIGHTING PUMP PERFORMANCE USING SNI 03-6570-2001 STANDARD ON SELF-CONTAINED HYDRANTS Auf, Abdurrahman; Biantoro, Agung Wahyudi; Romahadi, Dedik; Chaeroni, Amat
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.v5i2.20898

Abstract

Self-controlled hydrants are fire protection systems located in residential areas that function for early fire extinguishing. In a fire protection system, the pump plays an important role in supplying water from the reservoir to the end point of the installation. Fire pumps must always be in optimum condition and accordance with applicable standards. This study aims to analyze pump performance at current conditions in self-contained hydrants in the Palmerah District and then compare it with the performance that pumps should have in ideal conditions according to SNI 03-6570-2001 standards. The method used is a quantitative descriptive analysis method by comparing the current condition of the pump with applicable standards and conducting a direct survey of the location of the installed fire pump. The measuring instruments used in the study were a pressure gauge, control box, and pitot gauge. The results obtained through testing and calculating pump performance The pump installed on the self-contained hydrant in actual conditions with a total head of 86.62 m produces a flowrate of 0.0189 m3/s at 2800 RPM and can flow a maximum flowrate of 0.0284 m3/s with a head of 66.94 m while in ideal conditions with approximately the same speed and total pump head of 88.83 m, The pump produces a flow rate of 0.0473 m3/s and can produce a maximum flowrate of 0.0710 m3/s with a head of 71.81 m and when shut-off (Q = 0) at actual and ideal conditions produces a same total pump head 94.10 m. However, the pump in actual conditions can flow a minimum flowrate required of 0.040 m3/s with a pressure required of 350 kPa at 3000 RPM with a total pump head of 108.52 m. Thus, the pump must operate heavier due to the higher total head to deliver the required minimum flow rate and pressure.
Effect of Water Hyacinth Fiber Length and Content on the Torsional Strength of Epoxy Resin Composites Pramana, Putratama Aziz; Fitri, Muhamad; Hamid, Abdul; Romahadi, Dedik
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.19701

Abstract

This study investigates the influence of water hyacinth fiber length and content on the torsional strength of epoxy resin composites. Utilizing an experimental design, specimens were prepared with varying fiber lengths (10 mm, 20 mm, 25 mm, and 135 mm) and content percentages (4%, 7%, and 10%) and subjected to torsional testing according to ASTM E-143 standards. The primary objective was to determine the optimal fiber configurations that enhance the composite's mechanical properties, particularly its resistance to torsional stress. Results indicated that shorter fiber lengths consistently yielded higher torsional strength, with the 20 mm fibers at a 7% content displaying the highest torque resistance, achieving a maximum of 1.418 Nm and a shear stress of 29.348 MPa. In contrast, longer fibers generally showed diminished performance, likely due to poorer resin penetration and fiber-matrix bonding. Regression analysis was employed to develop predictive models for the torsional behavior based on fiber dimensions and compositions, achieving high accuracy with coefficients of determination (R²) ranging from 0.95 to 1.00, suggesting excellent model fits. These findings underscore the potential of using water hyacinth fibers as effective reinforcement in epoxy composites, particularly at optimal lengths and concentrations. The study contributes to the broader utilization of natural fibers in composites, offering a sustainable alternative to synthetic fibers with beneficial mechanical properties and environmental impacts.
STRENGTH ANALYSIS OF A WUXI TUNNEL SHAFT USING FINITE ELEMENT METHOD Sisliana, Azara Vigha; Romahadi, Dedik; Imran, Muhammad
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 5, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i1.18974

Abstract

The Wuxi Tunnel is a machine for producing mochi ice cream from China. One of the most important components in the ongoing production is the shaft. A shaft is a stationary rotating part, usually of a circular cross-section, to which elements such as gears, pulleys, cranks, sprockets, and other rotational transfer elements are attached. The load received by the shaft comes from the product and materials. The load was too heavy and worked continuously, resulting in the shaft breaking 3 times and not being straight. The purpose of this research is to analyze the shaft to determine the type of material and recommended dimensions so that the strength of the shaft is maintained and to determine the stress that occurs on the shaft due to the load from the product and other materials. The research method used in this study is the finite element method using Autodesk Inventor Pro software and manual calculations so that later, the results of the type of material and dimensions suitable for the shaft will be used. The analysis results show that the shaft can withstand loads at a diameter of 50 mm on the type of material AISI 4340 Annealed. The von Mises result for manual calculations is 294.2578 MPa, and the von Mises result for finite elements is 275.5 MPa. The allowable stress is 470 MPa. So that, AISI 4340 material with a recommended large diameter of at least 50 mm is a safe shaft limit that can be used at PT. X because the von Mises value is lower than other types of materials, and a safety factor of 1.71 is more than >1.
Co-Authors Abdul Hamid Adinarto, Tri Wahyu Aditya, Bima Agung Wahyudi Biantoro Alief Avicenna Luthfie Alief Avicenna Luthfie Alief Avicenna Luthfie, Alief Avicenna Alief Luthfie Avicenna Anah, Sri Andi Firdaus Sudarma Anggara, Fajar Arvisyah, Diar Arwati, I Gusti Ayu Auf, Abdurrahman Chaeroni, Amat Dafit Feriyanto Desti Dorion, L. B. Diah Utami Diah Utami, Diah Enggar Pur nama , Rama Fajar Anggara Fajar Anggara Fajar Anggara Feleke, Aberham Genetu Genetu Feleke, Aberham Ghufron, Hanif Golwa, Gian Villany Hadi Pranoto Hadi Pranoto Hanif Ghufron Hifdzul Luthfan Habibullah Hui Xiong Hui Xiong Ilhamullah, Ilhamullah Jalaluddin, Mai Nursherida Karmiadji, Djoko Wahyu Kurniawan, Rizki Nur Afami L. B. Desti Dorion Mahendra, Tito Syahril Sobarudin Izha Maris, Iman Maulana Yusuf Muhamad Fitri Muhammad Imran Murtyas, Solli Dwi Nanang Ruhyat Nurato Nurato, Nurato Pramana, Putratama Aziz Rachmanu, Fatkur Rikko Putra Youlia Rikko Putra Youlia Saputra, Gofar Julio Sisliana, Azara Vigha Solli Dwi Murtyas Supaat Zakaria Susilo, R. Dwi Pudji Turmudi, Agung Wang Dong Wermasaubun, Hendrikus Wibowo, Agus Setiawan Wijaya, Fathoni Putra Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wiwit Suprihatiningsih Xiong, Hui Yafiq, Muhammad Sulthan Yang Xiawei Yishuang, Tang Yosua Heru Irawan Youlia, Rikko Putra Zakaria Zakaria Zakaria, Supaat