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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
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Penerapan FFT dan STFT dalam Mendiagnosis Getaran ID Fan Berjenis Sambungan Kopel Romahadi, Dedik; Maris, Iman
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 11, No 3 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v11i3.16499

Abstract

Masalah yang sering terjadi pada ID Fan merupakan masalah mesin berupa adanya getaran berlebih yang tidak diinginkan dan dapat merusak komponen mesin tersebut. Tujuan penelitian ini melakukan analisis vibrasi untuk mengetahui frekuensi dominan pada induced draft fan dengan mengolah data luaran alat ukur yang kemudian akan disimpulkan apakah masalah vibrasi yang terjadi sudah sesuai dengan ketentuan berdasarkan standar vibrasi suatu mesin atau ISO 10816-3. Metode yang akan digunakan untuk analisis adalah metode Fast Fourier Transform (FFT) dan Short Time Fourier Transform (STFT). Metode FFT memiliki kekurangan tidak efisien dalam menggambarkan sinyal non stasioner. Terbatasnya jangkauan dalam bentuk data gelombang yang dapat ditransformasikan sehingga metode STFT diperlukan dengan menggunakan jendela atau windowing signal untuk mengolah sinyal data dari waktu ke waktu. Pengukuran dilakukan menggunakan alat ukur transduser tipe accelerometer karena mempunyai daerah frekuensi yang luas sehingga cocok digunakan untuk berbagai kerusakan, berdasarkan standar ISO 18016-3 dengan kondisi operasi putaran poros 1485 RPM, daya 131 kW, dan 4 titik pengukuran. Nilai vibrasi tertinggi terdapat pada posisi DE Fan dengan arah horizontal sebesar 4,06 mm/s. Kondisi mesin yang diteliti masuk kategori grup 2 yaitu medium sized machine mengacu pada standar ISO 10816-3, didapatkan hasil dengan kriteria warna jingga (C) yang dapat diartikan bahwa pada motor dan fan pada mesin ID Fan dalam kondisi masih diizinkan beroperasi untuk waktu yang terbatas. Hasil analisis spektrum yang didapat pada penelitian diketahui jenis gangguan yang terjadi berupa indikasi kerusakan misalignment pada titik pengukuran DE Fan.
TINJAUAN PENELITIAN TENTANG SIMULASI PENURUNAN TEKANAN AKIBAT RUGI – RUGI ALIRAN PADA INSTALASI PIPA Wibowo, Agus Setiawan; Mahendra, Tito Syahril Sobarudin Izha; Fitri, Muhamad; Romahadi, Dedik
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 11, No 3 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v11i3.16957

Abstract

Abstrak-- Pipa merupakan komponen yang banyak digunakan untuk pendistribusian fluida dan relatif murah digunakan karena banyak jenis, bentuk serta ukurannya. Fluida yang dialirkan menentukan jenis dan bentuk dari instalasi pipa yang dibutuhkan dan pendistribusian jaringan pipa sering menggunakan sambungan pipa (fittings), pipa lengkung (elbow), maupun flange. Pengunaan sambungan akan menimbulkan permasalahan kompleks pada instalasi pipa yaitu rugi-rugi aliran dalam pipa yang berupa rugi-rugi mayor maupun minor. Penelitian dilakukan dengan tinjauan literatur rugi-rugi aliran pipa dengan merekapitulasi metode–metode yang digunakan untuk mendeteksi terjadinya penurunan tekanan maupun rugi mayor dan minor, serta merekapitulasi faktor-faktor yang menjadi penyebab penurunan tekanan pada instalasi pipa. Setelah dikumpulkan jurnal terkait kemudian dipelajari lebih lanjut sehingga dihasilkan sebuah peluang pengembangan dan inovasi yang berkaitan dengan simulasi penurunan tekanan pada  uji rugi-rugi aliran dalam instalasi pipa. Pengembangan dan inovasi ini dapat dijadikan sebagai dasar pengembangan penelitian lebih lanjut untuk diwujudkan menjadi rancangan alat uji rugi-rugi aliran.Kata kunci: Penurunan tekanan, mayor losses, minor losses, pipa
ANALISIS DISTRIBUSI TEMPERATUR PADA SPESIMEN UNTUK ALAT ULTRA VIOLET (UV) WEATHERING CHAMBER MENGGUNAKAN APLIKASI ANSYS Yusuf, Maulana; Romahadi, Dedik; Fitri, Muhamad
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 12, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v12i2.16548

Abstract

Sinar UV telah memainkan peran penting dalam menurunkan kekuatan material. Radiasi UV telah dikaitkan dengan degradasi material komposit dengan tingkat degradasi bergantung pada beberapa parameter utama, seperti: panjang gelombang UV, waktu pemaparan dan intensitas UV. Alat UV Weathering Chamber adalah alat yang dapat digunakan untuk mensimulasikan berbagai kondisi cuaca untuk pengujian material spesimen komposit.. Metode yang digunakan pada penelitian ini yaitu metode elemen hingga dengan menggunakan simulasi pada aplikasi ansys untuk mengetahui distribusi termal pada specimen untuk alat uv weathering chamber. Hasil dari penelitian ini yaitu berupa nilai paparan termal atau distribusi temperature yang diterima oleh specimen dengan variasi temperatur 50°C, 60˚C dan 70°C. Simulasi pada variasi temperatur 50°C distribusi temperatur antara 28,071˚C s/d 30,01˚C. Variasi temperatur 60°C distribusi temperatur antara 28,009˚C s/d 30,93˚C. Variasi temperature 70°C distribusi simulasi 28,142˚C s/d 31,9˚C.
Implementasi Metode Elemen Hingga di Solidworks Guna Mengoptimalkan Desain Velg Depan Cast Wheel Sepeda Motor Kurniawan, Rizki Nur Afami; Romahadi, Dedik; Fitri, Muhamad
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 12, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v12i2.16676

Abstract

Velg cast wheel sering mengalami kerusakan yang menyebabkan rusaknya pada bagian bibir velg atau pecahnya spoke jika menopang beban berlebih. Aspek keselamatan sangat penting diperhatikan dalam industri otomotif karena menyangkut nyawa penumpang. Optimalisasi struktural berbagai komponen kendaraan telah menunjukkan bahwa kinerja kendaraan sangat dipengaruhi oleh berat komponen. Berdasarkan permasalahan tersebut maka tujuan dibuatnya penelitian ini untuk merancang model desain velg cast wheel yang ringan namun mampu menahan beban sebesar 503 N. Sehingga perlu dibuat analisis menggunakan perbandingan model desain dan variasi material, serta dilakukan simulasi statis menggunakan software Solidworks 2018. Hasil yang dicari adalah von mises, displacement, strain, factor of safety, dan menghasilkan desain yang ringan. Hasil simulasi pada ketiga model masih aman dalam menahan beban 503 N, karena nilai factor of safety tidak kurang dari 1. Untuk massa desain dengan variasi material, mendapatkan hasil yang lebih ringan dari velg aslinya.
Analisis Komparasi Kekuatan Geometri Desain Rusuk Penguat pada Kursi Plastik menggunakan Computer Aided Engineering Saputra, Gofar Julio; Romahadi, Dedik
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.v12i1.16503

Abstract

Kursi plastik merupakan furnitur yang sering dijumpai di masyarakat umum karena mudah digunakan untuk dibawa ke mana-mana dan juga menghemat penyimpanan karena dapat ditumpuk. Dalam penggunaan sehari-hari, kursi plastik sering mengalami kerusakan. Untuk kinerja konstan yang ideal, kursi plastik harus memiliki kapasitas beban maksimum yang jauh lebih besar dari beban operasi, sehingga tegangan tidak merusak kursi plastik dari waktu ke waktu. Penelitian ini mengacu pada Analisis Elemen Hingga, analisis tegangan Von-Mises, dan kegagalan desain kursi plastik. Analisis dilakukan pada struktur pembebanan statis di Solidworks 2021, dengan beban sebesar 1200N yang bekerja ke bawah (sumbu Y) di sepanjang empat kaki kursi plastik yang diposisikan tetap. Analisis dilakukan pada tiga alternatif desain, yaitu desain kursi plastik tanpa rusuk penguat, kursi plastik dengan rusuk penguat model X, dan kursi plastik dengan rusuk penguat model kotak. Analisis dilakukan dengan menggunakan bahan plastik ABS. Setelah dilakukan simulasi didapatkan nilai tegangan von-mises dari ketiga alternatif desain sebesar 38,30 MPa; 30,81 MPa; dan 8,86 MPa dengan batas tegangan yang diizinkan oleh material ABS adalah 28,00 MPa. Nilai faktor keamanan dari ketiga alternatif desain adalah 0,73; 0,91; dan 3.16. Batas aman minimum untuk beban statis adalah 1,25. Dengan demikian alternatif desain yang memenuhi persyaratan adalah kursi plastik dengan rusuk penguat model kotak dengan nilai faktor keamanan 3,16. Adapun dua desain lainnya tidak aman. Lokasi tidak aman terjadi di sudut pangkal kaki kursi plastik.
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 for Motorcycle CVT Weight Rollers Application Susilo, R. Dwi Pudji; Fitri, Muhamad; Yafiq, Muhammad Sulthan; Hamid, Abdul; Romahadi, Dedik
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 8, No 1 (2026): Article in Press
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v8i1.33422

Abstract

The development of sustainable materials for automotive components has become increasingly important due to environmental concerns associated with conventional synthetic materials. This study investigates the feasibility of teak wood powder (Tectona grandis L.F.) reinforced epoxy composites as an eco-friendly alternative to polytetrafluoroethylene (PTFE) for Continuously Variable Transmission (CVT) weight rollers. The composite was fabricated using a hot-press method with varying composition ratios (60:40, 70:30, and 80:20) and processing temperatures (160 °C, 170 °C, and 180 °C) under a constant pressure of 20 bar. Mechanical performance was evaluated through tensile testing in accordance with ASTM D3039. The results demonstrate that both composition and processing temperature significantly influence tensile strength. The optimal condition—60% teak wood powder and 40% epoxy resin processed at 180 °C—yielded the highest average tensile strength of approximately 25 MPa, surpassing the typical value of conventional PTFE-based rollers (~23 MPa). The improvement is attributed to enhanced matrix–filler bonding and better resin flow at elevated temperatures, resulting in more effective load transfer and reduced void formation. Conversely, higher filler content led to reduced performance due to insufficient matrix continuity and increased interfacial defects. This study provides a significant contribution by demonstrating that teak wood waste can be effectively utilized as a reinforcement material in structural automotive applications. The findings highlight a viable pathway toward cost-effective, sustainable composite design while maintaining competitive mechanical performance. Further investigation on tribological behavior and long-term durability is recommended to support real-world implementation.
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%. 
Co-Authors A. M. Leman Abda Abda Abdul Hamid Abdul Hamid Abdulmalik, Samir Sani Abdulmalik, SS. Adinarto, Tri Wahyu Aditya, Bima Agung Wahyudi Biantoro Alfian Noviyanto 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 Muhammad Sulthan Yafiq Murtyas, Solli Dwi Nanang Ruhyat Noviana, Agus Nugroho, Irfan Evi Nurato Pramana, Putratama Aziz R. Dwi Pudji Susilo 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