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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Rekayasa Mesin Media Mesin: Majalah Teknik Mesin Indonesian Journal of Science and Technology Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mechatronics) Jurnal Teknik Mesin Indonesia EPI International Journal of Engineering Indonesian Journal of Computing, Engineering, and Design International Journal of Sustainable Transportation Technology Asean Journal of Science and Engineering (AJSE) Indonesian Journal of Multidiciplinary Research (IJoMR) Indonesian Journal of Community and Special Needs Education (IJCSNE) Mechanical Engineering for Society and Industry Automotive Experiences Journal of Mechanical Design and Testing (JMDT) Journal of Community Services: Sustainability and Empowerment Jurnal Polimesin ASEAN Journal for Science and Engineering in Materials
Triawan, Farid
Department Of Mechanical Engineering, Faculty Of Engineering And Technology, Sampoerna University, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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EFFECT OF ANNEALING ON THE MECHANICAL PROPERTIES OF FUSED DEPOSITION MODELING 3D PRINTED PLA Natayu, Amartya; Muhammad, Azka Aulia; Tumada, Azhari; Saptaji, Kushendarsyah; Trisnadewi, Titin; Triawan, Farid; Ramadhan, Anwar Ilmar; Azhari, Azmir
Jurnal Rekayasa Mesin Vol. 15 No. 3 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i3.1625

Abstract

Additive manufacturing or 3D printing is a rapidly moving fabrication technology with many usages in various fields. One of the methods used in 3D printing is Fused Deposition Modeling (FDM), where polylactic acid (PLA) filament is melted and deposited layer by layer to form the desired parts. This study explored the impact of annealing on the mechanical properties of 3D printed PLA specimens. Tensile specimens were produced using FDM following ASTM D638 standards. The specimens were annealed at 95°C and 145°C for 30, 60, and 120 minutes. Two untreated specimens served as benchmarks. Tensile tests were conducted on all specimens to evaluate their mechanical properties. The most optimal result was achieved with annealing at 95°C for 30 minutes, producing Young’s modulus of 3.3 GPA and the highest ultimate tensile strength (UTS) of 38.9 MPa. Other parameters resulted in lower properties compared to the untreated specimens.
Preserving Betawi Culture: Introducing Additive Manufacturing for Ondel-Ondel Souvenirs in Micro, Small, and Medium Enterprises (MSMEs/UMKM) Saptaji, Kushendarsyah; Ifat, Ifat; Putra, Indra Pertama; Kalam, Ikramin; Islam, Sri Susilawati; Triawan, Farid; Siswojo, Nathanael Ansel; Lubis, Steven Abed Daniel; Bryan, Jonathan; Handani, Nadya Geraldine
Journal of Community Services: Sustainability and Empowerment Vol. 4 No. 01 (2024): March 2024
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v4i1.468

Abstract

The contributions of campus as a technology hub to the society need to be increased. One of the way is to help micro, small, and medium enterprises (MSMEs) or Usaha Mikro, Kecil, dan Menengah (UMKM) to improve their process, capability and product. In this study, a team consisted of students and lecturers from Faculty of Engineering and Technology Sampoerna University led a community service project on one of MSMEs in Jakarta area. Over eight months, the team introduced innovative manufacturing techniques like 3D printing and mold-making to one of the MSMEs called Jawara Peci. Jawara Peci sells traditional souvenir, Ondel-ondel miniature. The purpose of this activity is to help Jawara Peci to have a unique ondel-ondel miniature product with the use of technology in order to preserve the cultural heritage of Betawi. The activity includes, socialization and introduction of the program, 3D design and product development, prototyping and delivery. The activity was successfully producing a new method to produce an Ondel-ondel souvenir using 3D printing and casting. The proposed method is expected can be implemented by the Jawara Peci to improve the uniqueness of the Ondel-ondel souvenir so that can contribute to economic growth and cultural awareness. This activity highlighted the potential of merging technology and heritage in improving inclusive economic development.
Mechanical Design and Analysis of Eco-Print Textile Pounding Machine Reflin, Rhainna Rheizkhira; Chang, Steven Henderson; Saptaji, Kushendarsyah; Triawan, Farid
ASEAN Journal for Science and Engineering in Materials Vol 2, No 2 (2023): AJSEM: Volume 2, Issue 2, September 2023
Publisher : Bumi Publikasi Nusantara

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Abstract

This study presents the design and analysis of an automated eco-print textile pounding machine to reduce labor intensity and preserve artistic aspects. The machine offers an efficient and cost-effective solution for businesses to meet the demand for eco-friendly textiles while maintaining control over the pounding technique. By utilizing a rotating flywheel mechanism, the device achieves approximately an average of 5 pounds with a force of 8.54 N per second. It features unique characteristics, including disassembly capability and replaceable parts for easy maintenance and longevity. The safety analysis indicates favorable safety factor values of 5.68 and 4.70 for static and dynamic loads, respectively, in the most critical part. Based on these results, it can be concluded that this product is safe and has a predicted infinite lifespan. This study serves as a valuable reference for the development of enhanced eco-print textile pounding machines.
Design and Fabrication of Automated Stopper Mechanism with PLC-Controlled System and Ball Screw Mechanism Fadhila, Fahriza; Triawan, Farid
ASEAN Journal for Science and Engineering in Materials Vol 4, No 2 (2025): AJSEM: Volume 4, Issue 2, September 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

The demand for high precision and efficiency in industrial cutting operations has driven the development of automated positioning mechanisms. Most traditional manual stopper systems in panel saws often suffer from inaccuracies, inefficiencies, and material waste. To address these issues, this study presents the design, implementation, and performance evaluation of a PLC-based automated stopper mechanism utilizing a ball screw system for precise linear motion. The system integrates a Programmable Logic Controller (PLC), stepper motor, ball screw mechanism, and Human-Machine Interface (HMI) to enable accurate positioning and real-time operator control. Performance tests validated the system’s reliability, precision, and suitability for industrial cutting applications. Speed evaluations confirmed that the stopper exceeded the 40 mm/s requirement, achieving 43.4 mm/s. Force resistance tests demonstrated structural stability under a 100 N load, with minimal deviations of 0.05 mm at 125 N and 0.10 mm at 150 N. Positioning accuracy tests further confirmed an average error of only 0.1 mm (0.005% deviation). The PLC executed motion commands with an average response time of 0.5 seconds, ensuring quick and reliable adjustments. These findings highlight the effectiveness of PLC-based automation in improving positioning accuracy, production speed, and overall usability in manufacturing environments.
Fabrication of Synthetic Lumbar Vertebrae by a Combination of FDM 3D-Printing and PU Foam Casting from Two Injection Techniques for Surgical Training Triawan, Farid; Khoiriyah, Nisa; Asriyanti, A.; Utomo, Muhammad Satrio; Saptaji, Kushendarsyah; Fernandez, Nikolas Krisma Hadi; Muflikhun, Muhammad Akhsin
ASEAN Journal for Science and Engineering in Materials Vol 5, No 1 (2026): (ONLINE FIRST) AJSEM: Volume 5, Issue 1, March 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

This study aims to introduce a rapid and precise fabrication technique of lumbar vertebrae model that mimics the cortical and cancellous parts of the bone using polylactic acid (PLA) and polyurethane (PU) foam, respectively. An FDM 3D-printing using PLA filament was utilized to fabricate the cortical part, then PU foam was molded into the printed cortical to form the cancellous part. The fabricated model was examined by comparing its dimensions with the stereolithography (STL) model. Sequentially, density measurement, compressive test, and microstructure observation were performed to evaluate the specimen characteristics. The results showed that the dimensions of the vertebrae model agreed well with the STL model, with a discrepancy of less than 4%. The fabricated PU samples exhibited a density in the range of 476–557 kg/m³, elastic moduli of 3.99–7.17 MPa, and a pore size of 136.66–179.80 µm, which are lower than the properties of human bone. Despite that, the PU samples maintain their compressive strength of 0.329–0.589 MPa, which is within the range of cancellous human bone.
Introducing Artificial Intelligence Utilization in Learning to High School Teachers Djajasoepena, Rafie; Syamsuri, Ady; Nurfais, Ahmad; Bahagia, Katherine Luckman; Kusuma, Felicia; Dewa, Gilang Raka Rayuda; Purnomo, Ariana Tulus; Bhakti, Muhammad Agni Catur; Wandy, Wandy; Triawan, Farid; Githa, Arum; Lestari, Tika Endah; Setiawan, Iwan
Journal of Community Services: Sustainability and Empowerment Vol. 5 No. 01 (2025): March 2025
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v5i1.515

Abstract

The development of artificial intelligence (AI) has significantly impacted various sectors, including education. However, based on observation, no AI tool-integrated course has been utilized by teachers at SMA 6 Cirebon. Moreover, based on the pretest assignment, the average understanding of teachers in SMAN 6 Cirebon regarding AI technology was only 55.48%, indicating challenges in implementing AI tools due to a lack of knowledge and practical guidance. To address this issue, a community service activity was held to empower teachers with applicable AI knowledge and skills through a seminar titled "How AI Learns Like a Brain: Implementasi AI dalam Pembelajaran". A qualitative approach was employed, beginning with seminar preparation, AI literature review, and interactive team discussions. Pre- and post-tests showed an increase in understanding of AI technology, with the mean score rising from 55.48% to 67.22% and the median score increasing from 60% to 80%. Finally, this community service recommends ongoing training, the development of AI-integrated lesson plans, hands-on workshops, and collaboration with educational authorities to support the further implementation of AI in teaching.
Economical 3D-Printed Robotic Arm for Educational Training Purpose Hadisujoto, Budi; Budiarta, Wahyu Nur; Frandito, Raffy; Saptaji, Kushendarsyah; Triawan, Farid; Wibowo, Djati; Ong, Janice
Jurnal Teknologi Vol. 17 No. 2 (2025): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.17.2.89-100

Abstract

The advancement of Engineering technology requires universities as the frontier to educate engineering students with the latest skillset. Fast progress of Artificial Intelligence (AI) shown by the recently released of open AI such as ChatGPT, Genius, etc., has opened a new trend of technological tools. Hence, it is necessary or it can be said a must to train future engineers how to at least use these tools. Robotics and automation have long been used to assist humans in manufacture, logistic, health, and many other areas. Implementing AI into robotics creates intelligent systems which are predicted to be widely used. However, for educational institutions, especially in developing countries, the cost to afford the training robot equipment is still pricy. Here, we present designing and building of an economical robotic arm using 3D printed parts and open sources. The robot arm has six Degrees of Freedoms (DoF) and capable of lifting about 450 grams of maximum load. Some suggestions include future development are presented.
DEVELOPMENT OF MASSAGE CHAIR MADE OF CARDBOARD MATERIALS: DESIGN, FABRICATION, AND STRENGTH EVALUATION Zulaikah, Siti; Triawan , Farid; Budiman , Bentang Arief; Romadhon , Yusuf
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1593

Abstract

This study aims to design and fabricate a prototype of massage chair made of corrugated cardboard materials and evaluate its structural strength. It could be a pioneering study as no one had manifested or discussed it before. The prototype is currently made with dimensions of approximately 60 ´ 50 ´ 100 cm, consisting of 6 cardboard components, affords a reflexology sensation from solid rubber balls, and provides reclinable features at the backrest and footrest. The most prominent benefit of this cardboard massage chair compared to the commercialized ones is environmentally friendly and lightweight products. Moreover, the constructed component can be disassembled and folded, making it a portable massage chair. From the strength evaluation, the cardboard massage chair can still endure a load of 50 kg to the prototype’s seat, backrest, and footrest. However, multi loading directions (e.g., vertical, longitudinal, lateral), stress concentration, and fluctuating person weight would generate tremendous stress and lead to a more substantial possibility of damage and failures on the cardboard after several testing cycles. Therefore, further improvement processes should be investigated to develop an optimized version of cardboard massage chair in the future.
EFFECT OF ANNEALING ON THE MECHANICAL PROPERTIES OF FUSED DEPOSITION MODELING 3D PRINTED PLA Natayu, Amartya; Muhammad, Azka Aulia; Tumada, Azhari; Saptaji, Kushendarsyah; Trisnadewi, Titin; Triawan, Farid; Ramadhan, Anwar Ilmar; Azhari, Azmir
Jurnal Rekayasa Mesin Vol. 15 No. 3 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i3.1625

Abstract

Additive manufacturing or 3D printing is a rapidly moving fabrication technology with many usages in various fields. One of the methods used in 3D printing is Fused Deposition Modeling (FDM), where polylactic acid (PLA) filament is melted and deposited layer by layer to form the desired parts. This study explored the impact of annealing on the mechanical properties of 3D printed PLA specimens. Tensile specimens were produced using FDM following ASTM D638 standards. The specimens were annealed at 95°C and 145°C for 30, 60, and 120 minutes. Two untreated specimens served as benchmarks. Tensile tests were conducted on all specimens to evaluate their mechanical properties. The most optimal result was achieved with annealing at 95°C for 30 minutes, producing Young’s modulus of 3.3 GPA and the highest ultimate tensile strength (UTS) of 38.9 MPa. Other parameters resulted in lower properties compared to the untreated specimens.
Machine fault detection through sound analysis using MFCC and machine learning Chang, Steven Henderson; Purnomo, Ariana Tulus; Bhakti, Muhammad Agni Catur; Mulia, Vania Katherine; Rizky, Agyl Fajar; Fernandez, Nikolas Krisma Hadi; Triawan, Farid
Jurnal Polimesin Vol 23, No 3 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i3.6653

Abstract

This study addresses the need for automated damage and failure detection in industrial machinery through sound analysis and machine learning. Traditional methods rely on human experts to identify faults using microphones, which can be time-consuming, stressful, and prone to errors such as limited perception, subjectivity, and inconsistency. This study leverages machine learning to create a more objective and efficient alternative. Mel-Frequency Cepstral Coefficients (MFCCs) were employed for feature extraction, capturing intricate sound patterns associated with machinery faults. Through rigorous experimentation, 11 MFCC coefficients were identified as optimal. The Support Vector Machine (SVM) emerged as the best-performing classifier compared to LightGBM and XGBoost, achieving a training accuracy of 83.12% and testing accuracy of 82.50%. The dataset was split between 80% for training and 20% for testing. The small gap between training and testing accuracy indicates an ideal model with no signs of over fitting, under fitting, or data leakage. Real-world simulations validated the model’s efficacy under various operational scenarios, demonstrating its readiness for industrial deployment. This study highlights the effectiveness of sound analysis and SVM classification in proactive maintenance, offering a reliable tool to reduce downtime and maintenance costs while enhancing operational efficiency and reliability.
Co-Authors AA Sudharmawan, AA Abdi Hanra Sebayang Abdulkareem Sh. Mahdi Al-Obaidi Adi Sutanto Aditiya Harjon Al-Obaidi, Abdulkareem Sh. Mahdi Alfatih, Shahreza Agung Ali, Muchammad Fachrizal Alvin Widjaya Amelia Nuraisyah Quinsi Jemy Anak Agung Ngurah Perwira Redi Anak Agung Ngurah Perwira Redi Andy Saputro Angelica, Putri Antonio, Ryan Anwar Ilmar Ramadhan Ariana Tulus Purnomo Ariq Naufal Rabbani Arnaz Sholeh Arridina Susan Silitonga - Asep Bayu Dani Nandiyanto Asmelash Gebremariam Asriyanti, A. Azhari, Azmir Bahagia, Katherine Luckman Belfaqih, Idrus Husin Bentang Arief Budiman Bilqist Imeilia Az Zahra Bryan, Jonathan Budiarta, Wahyu Nur Budiman , Bentang Arief Budiman, Bentang Arief Chang, Steven Henderson Charline Tiara Rehuellah Pingak Denatra, Geraldy Dewa, Gilang Raka Rayuda Dindamilenia Choirunnisa Hardiyasanti Djamari, Djati Djati Wibowo Djamari Djati Wibowo Djamari Dyota, Arya Smara Elin Rachmawati Eryanto, Ery Fadhila, Fahriza Fernandez, Nikolas Krisma Hadi Fini Bestiara Fitri Endrasari Frandito, Raffy Gabriela Chelvina Santiuly Girsang Girsang, Gabriela Chelvina Santiuly Githa, Arum Given Chris Yuenan Glenn Hanaya Gloria Ellysian Aprilia Hadisujoto, Budi Handani, Nadya Geraldine Hofifah, Siti Nur I Ketut Adhiarta Laksemana Ida Hamidah Ifat, Ifat Ignatius Pulung Nurprasetio Ignatius Pulung Nurprasetio Ihza Lisiano Al Qushai Ilham Prasetyo Ilman Arpi islam, sri susilawati Iwan Setiawan Iza, Nurlaely Rohmatul Kalam, Ikramin Kamila, Fatima Tasya Ken Risa Ayu Ndaru Ningrum Khoiriyah, Nisa Kushendarsyah Saptaji Kusuma, Felicia Laela Nur Fitria Laely Muryanti Lestari, Putri Yuni Lestari, Tika Endah Lubis, Steven Abed Daniel Maria Anggi Octaviani Mei Syaroh Misbakhul Munir Mochammad Rafli Ramadhani Muhamad Rausyan Fikri Muhammad Agni Catur Bhakti Muhammad Akhsin Muflikhun Muhammad Aziz Muhammad Dzulkifly Muhammad Johan Alibasa Muhammad Kunta Biddinika Muhammad, Azka Aulia Mulia, Vania Katherine Musafri Yetti Nanda Indriana Natayu, Amartya Nikolas Krisma Hadi Fernandez Nikolas Krisma Hadi Fernandez Noorfi Azizah Rahim Nurfais, Ahmad Octary, Astrid Vanya Ong, Janice Putra, Indra Pertama Putri, Silmi Ridwan Qurriyatus Zahro Raffy Frandito Rafie Djajasoepena Rahmanda, Wahyu Rakshidatu Lestaluhu Ramadhan, Ammar Ramadhona Saville Reflin, Rhainna Rheizkhira Rizky, Agyl Fajar Robby Dwianto Widyantara Romadhon , Yusuf Safety Husna Pangestika Septiani, Tasya Diana Siagian, Michael Soritua Putrapratama Silmi Ridwan Putri Sineri, Gabriel Ayrton Andares Sinta Widianingrum Siswojo, Nathanael Ansel Siti Nur Hofifah Siti Zulaikah Sri Nararia Anggita Damayanti Surya Danusaputro Liman Sutrisno, Dwiartha Pambudi Alif Syamsuri, Ady Tong Keong Sai Trisnadewi, Titin Tumada, Azhari Unang Solihin Utomo, Muhammad Satrio Vania Katherine Mulia Wahyu Nur Budiarta Wandy Wandy Wibowo, Djati Wildan Rahmawan Yetti, Musafri Zulaikah, Siti