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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Rekayasa Mesin Sinergi World Chemical Engineering Journal Jurnal Teknik Mesin Scientific Journal of Mechanical Engineering Kinematika Teknomekanik 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

Dedik Romahadi

Universitas Mercu Buana

Author-ID : 1161154

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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PELATIHAN PENYELESAIAN SOAL INTEGRAL MENGGUNAKAN MATLAB SIMULINK GUNA MENUMBUHKAN MINAT SISWA PADA MATERMATIKA Feriyanto, Dafit; Romahadi, Dedik; Pranoto, Hadi; Zakaria, Supaat
Jurnal Abdimas ADPI Sains dan Teknologi Vol. 1 No. 1 (2020): Jurnal Abdimas ADPI Sains dan Teknologi
Publisher : Asosiasi Dosen PKM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47841/saintek.v1i1.132

Mata pelajaran matematika perlu diberikan kepada peserta didik agar memilikikemampuan berpikir logis, analitis, sistematis, kritis, dan kreatif serta mempunyai kemampuanbekerja sama. Matematika adalah salah satu ilmu pengetahuan yang sangat penting yang diberikandi sekolah-sekolah. Matematika merupakan salah satu pelajaran yang diajarkan di sekolah-sekolahdengan frekuensi jam pelajaran lebih banyak dibandingkan dengan mata pelajaran lainnya. Tetapibanyak siswa yang merasa kurang mampu dalam mempelajari matematika karena dianggap sulitsehingga minat untuk mempelajari kembali matematika di luar jam sekolah sangat kurang.Berdasarkan permasalahan di atas, tim pengusul bertujuan memberikan kegiatan pembelajaranmatematika yang mudah dan menarik menggunakan software MATLAB di SMAN 95 Jakarta.Pelatihan telah sukses dilaksanakan dengan jumlah peserta 35 siswa. Dalam pelatihan tersebut,terlihat mahasiswa sangat antusias dalam belajar Matlab guna menyelesaikan soal-soal integral.Siswa telah dapat menyelesaikan soal integral pangkat 1-3 sehingga siswa merasa puas denganadanya pelatihan ini dan diharapkan adanya pelatihan-pelatihan serupa yang dilakukan di SMAN95 Jakarta.

THE IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORKS IN DESIGNING INTELLIGENT DIAGNOSIS SYSTEMS FOR CENTRIFUGAL MACHINES USING VIBRATION SIGNAL Dedik Romahadi; Fajar Anggara; Andi Firdaus Sudarma; Hui Xiong
SINERGI Vol 25, No 1 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.1.012

It is important to maintain every machine affecting the process of making sugar to ensure excellent product quality with minimal losses and to accelerate productivity and profitability targets. The centrifuges are widely used in industry today with some being very difficult and critical for surgery, and the collapse of the engine has the ability to cause expensive damage. One of these is the centrifugal machines, and they are expected to be efficient to produce high-quality sugar. Meanwhile, an efficient diagnostic tool to predict the correct time for centrifugal repair is vibration signal analysis namely by attaching the accelerometer sensor to the location of the centrifugal bearing to produce vibration data that is ready to be analyzed. Still, the process requires sufficient insight and experience. The manual method usually used is complicated and requires a lot of time to obtain results of a centrifugal diagnosis. Therefore, this study was conducted to design an intelligent system to diagnose centrifugal vibrations using Artificial Neural Networks (ANN). The situation is involved in applying and training the concept of vibration analysis from spectrum data to ANN to produce diagnostic results according to the spectrum diagnosis reference. The results obtained were quite good with the largest cross-entropy value of 10.67 having 0% error value with the largest Mean Square Error value being 0.0023 while the smallest regression was 0.993. The test conducted on nine new spectrums produced eight true predictions and one false. The system can provide fairly accurate results in a short time. Classification quality improvement can be made by adding training data.

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

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.

CONDENSOR DESIGN ANALYSIS WITH KAYS AND LONDON SURFACE DIMENSIONS Dedik Romahadi; Nanang Ruhyat; L. B. Desti Dorion
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

The use of condensers in air conditioning units is more common in large-capacity units than in ones with a smaller capacity. Air conditioning provides comfort and freshness to an air-conditioned room. It should be noted that each room has a different heat load, which affects the specifications of the condenser used. The accuracy with which appropriate condenser specifications are determined affects the performance of the air conditioner. Thus, considering how important condenser needs are, it is necessary to design condensers with optimal performance, which adhere to proven standards. To achieve this, the design of a condenser should be based on the results of the smallest condenser dimensions of three types of surfaces, as they are intended for a limited place. This condenser design uses the standard dimensions of the Kays and London charts. Data is collected by measuring the results of temperature and enthalpy of a refrigerant at desuperheating and condensation, inlet air temperature, outlet air temperature, refrigerant mass flow rate, and air mass flow rate. The results of the compact condenser design are based on existing data, which is obtained from the smallest design results. The result uses the type of Surface CF-8.72(c) with a heat transfer area of 0.259 m2, a total tube length of 9.5 m, crossing tube length 0.594 m and a pressure drop of 3778 Pascal (Pa) on the side of a tube. This design fulfills the stipulated requirements, as the pressure drop is less than the specified maximum limit in most units.

DETECTING CLASSIFIER-COAL MILL DAMAGE USING A SIGNAL VIBRATION ANALYSIS Dedik Romahadi; Alief Avicenna Luthfie; L. B. Desti Dorion
SINERGI Vol 23, No 3 (2019)
Publisher : Universitas Mercu Buana

A classifier plays a crucial role in the cement industry. It is in charge of separating coal that has been smoothened out and is ready to be burned although the coal is still rough after going through the grinding process. It takes a long time to burn coal that is not perfectly processed with a classifier. Therefore, it will reduce the amount of cement production, and the factories will release more energy. The closed arrangement and the number of components in the unit classifier requires a sophisticated method to detect damage that occurs early. Vibration analysis is a method that has been effectively employed in detecting the initial damage that occurs to the engine, especially the classifier. This study was aimed at detecting the location of the damage occurring in the classifier by using a vibration signal analysis and by measuring the magnitude of vibration and presenting it to the frequency domain (spectrum) form using Fast Fourier Transform. Engine condition assessment referred to ISO 10816-3 standard in velocity and displacement modes. Based on data spectrum analysis, the dominant damage laid in the unbalanced rotor. Spectrum characteristics of the damage appeared to be in the spectrum line worth 438.01 μm at a 3.5-Hz frequency (1X) radially. This analysis proved to be supported by the decrease in vibration value to 18.65 μm after balancing the Classifier rotor.

NUMERICAL SIMULATION ON REAR SPOILER ANGLE OF MINI MPV CAR FOR CONDUCTING STABILITY AND SAFETY Alief Avicenna Luthfie; Dedik Romahadi; Hanif Ghufron; Solli Dwi Murtyas
SINERGI Vol 24, No 1 (2020)
Publisher : Universitas Mercu Buana

Spoiler attached on the rear part of a car can generate drag force and negative lift force, called downforce. This drag force can increase air resistance to the car, meanwhile, a negative lift force can improve the car’s stability and safety. Refer to many researchers, the shape and the angle of the spoiler give different aerodynamic effects and therefore give a different value of drag force and lift force. Based on these facts, this study was focused on the analysis of different spoiler angle attached to a mini MPV car to drag and lift force generated by the spoiler. The method used in this study is a numerical simulation using the Computational Fluid Dynamics (CFD) technique. The analysis was carried out at different spoiler angle and car’s speed. The spoiler angles are -20o, -10o, 0o, 10o, and 20o. The car’s speeds are 40 km/h, 60 km/h, 80 km/h, 100 km/h, and 120 km/h. Then the drag and lift force and their coefficient generated by different spoiler angles were being investigated at specified speeds. The result shows that higher spoiler angles generate higher drag and lower lift. Spoiler angles higher than 0o generate negative lift force, otherwise generate positive lift force. Therefore, to increase a car’s stability and safety, it is recommended to use a spoiler angle higher than 0o. Based on the result, it is best to use spoiler angle 10o because it generates negative lift force with -0.05 lift coefficient and 0,68 drag coefficient.

Numerical analysis of the vortex flow effect on the thermal-hydraulic performance of spray dryer Fajar Anggara; Dedik Romahadi; Alief Luthfie Avicenna; Yosua Heru Irawan
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.004

The use of a spray-dryer is very popular in the drying process in the food and beverage industry. However, due to the properties of the sensitive product that the quality will degrade in drying at high temperature, the innovative design of spray-dryer is developed which can increase the heat transfer rate at moderate temperature. This research was conducted to develop a spray-dryer design to improve thermal-hydraulic performance, with a high transfer rate and low-pressure drop at such a temperature. The design varies by several inlets categorized as design A with one inlet, design B with two inlets, and design C with three inlets. This simulation uses ANSYS FLUENT17, and the independence of the mesh was evaluated to improve the result of the simulation. The efficient mesh number is obtained from the independence of the mesh at around one million. The result shows that design C has the lowest pressure loss and the highest transfer rate due to high vortex and swirl flow generation, improving the mixture quality and direct contact between droplet and dry-air.

NiO ELECTRO-DEPOSITION TECHNIQUE OF γ-Al2O3 WASHCOAT ON FeCrAl SUBSTRATE BY USING SULPHAMATE TYPE SOLUTION Dafit Feriyanto; A. M. Leman; Andi Firdaus Sudarma; Dedik Romahadi; Hadi Pranoto
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 4, No 1 (2022)
Publisher : Universitas Mercu Buana, Prodi S2 Teknik Mesin

Electro-deposition process to develop surface layer on the substrate material in Catalytic converter (CATCO) become interesting area due to that process was purposed to improve the physical properties of substrate material. Currently, precious metals such as Platinum (Pt), Palladium (Pd), and Rodium (Rd) were used due to excellent oxidation resistant but it limited and easily oxidized. Therefore, Nickel Oxide (NiO) catalyst used as electro-deposition material. NiO electro-deposition technique that called by EL was conducted by using NiO as cathode and FeCrAl as substrate and -Al2O3 as washcoat material. This technique was performed by variation times of 15, 30, 45, 60 and 75 minutes, current density of 8 A/dm2. The results shows that Coating layer of NiO and -Al2O3 has been developed on surface of FeCrAl substrate. The coating layer was increase the surface roughness which showed by surface morphology data that coated FeCrAl substrate has uneven surface and some particles has been embedded on that surface. The composition of raw material was consists of Fe for 74.13wt%, Cr of 20.25 wt% and Al of 5.62 wt%. Meanwhile, for composition of EL samples was 52.56- 63.54wt% for Fe element, Al for 3.56-11.89 wt%, Cr for 14.97-18.56 wt%, O for 2.47-11.78 wt%, C for 8.33-11.85 wt%, Na for 0.11-0.48 wt% and Ni for 0.17- 1.58 wt%. Higher elements of the EL samples potential to improve the thermal stability at high temperature due to CATCO operate at high temperature of 600-8500C and in extreme condition.

Development of a smart system for gasoline car emissions diagnosis using Bayesian Network Dedik Romahadi; Wiwit Suprihatiningsih; Yudha Aji Pramono; Hui Xiong
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.009

A vehicle exhaust emissions test is an activity carried out to determine the content of the remaining combustion products that occur in the fuel in the vehicle engine. Many people do not understand exhaust gas content from emission tests, so to make this easier, this study aims to create a smart application that can diagnose vehicle emissions quickly and accurately using the Bayesian Network (BN) algorithm. Application development begins with BN modeling using the MSBNx application until the appropriate results are achieved. Validation of the BN structure that has been designed with various inputs is carried out to ensure that the BN modeling is correct. The next step is to compile the BN modeling algorithm in the MATLAB application so that it becomes a system that can process input in the form of measurement results for Toyota car emissions. The new BN model for vehicle emission gas diagnosis has been successfully constructed. The results of the system reading when there is an HC content of 217 ppm, the probability value of bad emissions increases to 63.5%. Of the 10 tests performed, the system was able to diagnose them all correctly.

IMPLEMENTATION OF THE FINITE ELEMENT METHOD IN SOLIDWORKS TO OPTIMIZE THE FRONT CAST WHEEL DESIGN FOR MOTORCYCLES Rizki Nur Afami Kurniawan; Dedik Romahadi; Muhamad Fitri; Md Radwanul Karim
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 4, No 3 (2022)
Publisher : Universitas Mercu Buana, Prodi S2 Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v4i3.18794

Cast wheel rims often experience damage that causes damage to the lip of the rim, or the spokes rupture if it supports the excessive load. The safety aspect is very important to be considered in the automotive industry because it involves the lives of passengers. Structural optimization of various vehicle components has shown that component weight strongly influences vehicle performance. Based on these problems, this research aims to design a lightweight cast wheel design model that can withstand a load of 535 N. So, it is necessary to make an analysis using a comparison of design models and material variations and static simulations using Solidworks 2018 software. The results sought are von mises, displacement, strain, a factor of safety, and produce a lightweight design. The simulation results on the three models are still safe in holding a load of 535 N because the value of the factor of safety is not less than 1. The results of the design mass with material variations are lighter than the original wheels.

Co-Authors A. M. Leman Abda Abda Abdul Hamid Abdulmalik, SS. Adinarto, Tri Wahyu Aditya, Bima Agung Wahyudi Biantoro Alief Avicenna Luthfie Alina, Alina Andi Firdaus Sudarma Anggara, Fajar Arvisyah, Diar Auf, Abdurrahman Chaeroni, Amat Dafit Feriyanto Desti Dorion, L. B. Diah Utami Diah Utami, Diah Enggar Pur nama , Rama Fajar Anggara Feleke, Aberham Genetu Genetu Feleke, Aberham Ghufron, Hanif Gian Villany Golwa Hadi Pranoto Hadi Pranoto Hadi Pranoto Hanif Ghufron Hifdzul Luthfan Habibullah Himawan S. Wibisono Hui Xiong Hui Xiong Hui Xiong I Gusti Ayu Arwati Ilhamullah, Ilhamullah Imam Hidayat Jalaluddin, Mai Nursherida Karmiadji, Djoko Wahyu Kurniawan, Rizki Nur Afami L. B. Desti Dorion Mahendra, Tito Syahril Sobarudin Izha Mahesh Kumar Maris, Iman Maulana Yusuf Md Radwanul Karim Muhamad Fitri Muhammad Imran Muhammad Imran Murtyas, Solli Dwi Nanang Ruhyat Noviana, Agus Nugroho, Irfan Evi Nurato Pramana, Putratama Aziz Rachmanu, Fatkur Rahmatullah, Rizky Rikko Putra Youlia Rizki Nur Afami Kurniawan Saputra, Gofar Julio Sisliana, Azara Vigha Solli Dwi Murtyas Sri Anah Subekti Supaat Zakaria Susilo, R. Dwi Pudji Turmudi, Agung Wang Dong Wermasaubun, Hendrikus Wibowo, Agus Setiawan Wijaya, Fathoni Putra Wiwit Suprihatiningsih Xiong, Hui Yafiq, Muhammad Sulthan Yang Xiawei Yishuang, Tang Yosua Heru Irawan Yudha Aji Pramono Zakaria Zakaria Zakaria, Supaat

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