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All Journal Penelitian Pendidikan Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Community Engagement and Emergence Journal (CEEJ) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Asatiza: Jurnal Pendidikan Teknomekanik Jurnal Vokasi Mekanika MASALIQ: Jurnal Pendidikan dan Sains CONSEN: Indonesian Journal of Community Services and Engagement Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Journal of Engineering Researcher and Lecturer Jurnal El-Hadhary: Jurnal Penelitian Pendidikan Multidisiplin Journal of Innovative and Creativity Indonesian Journal of Innovation Science and Knowledge Innovation in Engineering Edumaspul: Jurnal Pendidikan
Rifelino Rifelino
Universitas Negeri Padang
Religion 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : journal of engineering researcher and lecturer

 1 
Optimization of Artec Leo 3D Scanner parameters for object accuracy using the Taguchi Method Rhionaldo, Ananda Jafron; Rifelino, Rifelino; Sari, Delima Yanti; Prasetya, Febri
Journal of Engineering Researcher and Lecturer Vol. 4 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v4i2.186

Abstract

This study focuses on optimizing the scanning parameters of the Artec Leo 3D Scanner to enhance scanning accuracy by minimizing geometric deviations. The experimental design utilizes the Taguchi L4(2³) orthogonal array method to examine the influence of three scanning factors: distance, angle, and lighting at two levels. A 16-inch car wheel, chosen for its geometric complexity, was scanned under various parameter combinations. The results indicated that the combination of indoor lighting, a 45° angle, and a scanning distance of 100 cm yielded the smallest deviation (0.5%) and the highest signal-to-noise (S/N) ratio (6.02 dB). Analysis of variance (ANOVA) revealed that the scanning distance contributed the most to the variation in scanning accuracy (65.09%), followed by lighting (34.64%) and angle (0.27%). A confirmation test with the optimal parameters further reduced the deviation to 0.4%, validating the effectiveness of the Taguchi method for parameter optimization. This study’s findings contribute valuable insights for industries that require high-precision 3D models, such as aerospace, automotive, and healthcare. The research demonstrates the importance of optimizing scanning parameters and offers a practical approach to improving 3D scanning processes. Future research can expand by exploring environmental conditions, scan resolution, and machine learning integration for real-time adjustments.
Development and effectiveness of short video tutorials in basic turning learning to enhance students' cognitive ability Prasetyo, Muhamad Julianes; Rifelino, Rifelino; Fauza, Anna Niska
Journal of Engineering Researcher and Lecturer Vol. 3 No. 3 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v3i2.161

Abstract

This study aims to develop and evaluate the effectiveness of short tutorial videos in teaching the essential operation of lathe machines in mechanical engineering. Utilizing the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), the research was conducted at SMK N 1 Sumatera Barat, involving 65 vocational school students. The short tutorial videos were designed to enhance students' comprehension and cognitive ability in lathe machine operations, addressing the challenges posed by traditional teaching methods. Data were collected through questionnaires and practical tests to assess students' understanding and skills. The findings revealed that the short tutorial videos significantly improved students' comprehension and cognitive ability, although variations in understanding levels were observed. Normality tests confirmed a normal data distribution, allowing for the use of paired sample t-tests, which indicated no significant difference between the Mechanical Engineering and Industrial Mechanical Engineering groups after using the tutorials. Validation by media and content experts demonstrated the high quality and relevance of the instructional material. This study underscores the importance of developing more interactive and adaptive learning media and highlights the need to explore further other factors influencing cognitive ability.
Optimization of Artec Leo 3D Scanner parameters for object accuracy using the Taguchi Method Rhionaldo, Ananda Jafron; Rifelino, Rifelino; Sari, Delima Yanti; Prasetya, Febri
Journal of Engineering Researcher and Lecturer Vol. 4 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v4i2.186

Abstract

This study focuses on optimizing the scanning parameters of the Artec Leo 3D Scanner to enhance scanning accuracy by minimizing geometric deviations. The experimental design utilizes the Taguchi L4(2³) orthogonal array method to examine the influence of three scanning factors: distance, angle, and lighting at two levels. A 16-inch car wheel, chosen for its geometric complexity, was scanned under various parameter combinations. The results indicated that the combination of indoor lighting, a 45° angle, and a scanning distance of 100 cm yielded the smallest deviation (0.5%) and the highest signal-to-noise (S/N) ratio (6.02 dB). Analysis of variance (ANOVA) revealed that the scanning distance contributed the most to the variation in scanning accuracy (65.09%), followed by lighting (34.64%) and angle (0.27%). A confirmation test with the optimal parameters further reduced the deviation to 0.4%, validating the effectiveness of the Taguchi method for parameter optimization. This study’s findings contribute valuable insights for industries that require high-precision 3D models, such as aerospace, automotive, and healthcare. The research demonstrates the importance of optimizing scanning parameters and offers a practical approach to improving 3D scanning processes. Future research can expand by exploring environmental conditions, scan resolution, and machine learning integration for real-time adjustments.
3D scanner technology in the reverse engineering of complex mechanical components: A literature review Seftian, Afferli; Sari, Delima Yanti; Rifelino, Rifelino; Abadi, Zainal
Journal of Engineering Researcher and Lecturer Vol. 5 No. 1 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v5i1.213

Abstract

This study addresses the challenges involved in the reverse engineering of complex mechanical components, where conventional manual measurement methods often produce geometric deviations that negatively affect the reliability of advanced engineering analyses. A descriptive literature review was conducted to evaluate the role of 3D scanning technology in overcoming these limitations. The study compares various data acquisition methods, including laser scanning, structured light scanning, and photogrammetry, while also analysing how the level of geometric accuracy influences finite element simulation results and structural analysis outcomes. The review found that 3D scanning significantly improves geometric fidelity compared with traditional techniques, thereby enhancing the validity of numerical simulations. However, the review also identified that the quality of the final model is highly dependent on the selected scanning technology, surface conditions, and advanced reconstruction processes such as point cloud registration and mesh generation. The findings indicate that although 3D scanning offers superior precision, geometric deviations may still occur and influence structural parameters. This study concludes that the integration of 3D scanning into reverse engineering workflows requires systematic validation to ensure not only visual accuracy but also functional reliability in engineering applications. Furthermore, this review highlights a critical research gap, suggesting that future studies should place greater emphasis on the direct correlation between geometric accuracy and engineering simulation outcomes.
Co-Authors A.A. Ketut Agung Cahyawan W Abadi, Zainal Abadi Abdul Aziz Abdul Aziz Abdullah, Adlan Azmi Abdullah, MT, Dr. Rijal Addha Ilham Aditya Bernaldo Afriza Media Agung Agung Ahmad Firdaus Ahmad Shafwan Hadi Al Saidhi, Muhammad Khattami Altarisi, Muhammad Athar Ambiyar, Ambiyar Andril Arafat Anggara, Diki Aprianti, Maidinda Arafat, Andri Arafat, Andril Arizal Saputra Arwizet Arwizet, Arwizet Berril Habibil Rizka Bima Afrindo Putra Budi Syahri Bulkia Rahim Delima Yanti Sari Delima Yanti Sari Diki Anggara Dira Nurfaedah Doni Hamdani Doni Kris Saputra Donny Fernandez Dori Yuvenda Dzaky Dzulqa Arijal Eko Indrawan Enjelita Enjelita Erwin Candra Fadhil Naufan Fathur Rahman Fauza, Anna Niska Febri Al Rasyid Febri Prasetya Fretina Sari Galib Afdi, Alham Harahap, Doa Hendri Nurdin Hidayathullah, Ilham Hilman, Antoni Ichsan, Albayhaqi Illahi, Ridho Irzal Irzal Irzal Irzal Irzal, Irzal Ivan Framana Jannuar, Arifin Jasman Jasman Julian Berlin Roland Tobing Junil Adri Laksono Trisnantoro Muhammad Athar Altarisi Muhammad Ichsan Muhammad Iqbal Tawakal Muhammad Iqbal Tawakal Muhammad Restu Alhamdi Muhammad Zikri Muharam, Bananda Mulianti Mustaqin, Iqbal Nabawi, Rahmat Azis Nabawi, Rahmat Aziz Nizwardi Jalinus Nofri Helmi Nofri Pratama Putra Nugroho, Anang Puji Nurdin Hendri Nurhasan Syah Nurmahmudi, Nurmahmudi Ogif Pradinata Putra Oktober, Qori Prasetyo, Muhamad Julianes Pratama, Daffa Aji Primawati Primawati Primawati Primawati, Primawati purwantono purwantono Purwantono, Purwantono Rahmad Rian Dawab Midik Rahman Febrio Rajul Halim Perdana Ismet Rangga Ligendra Refdinal Refdinal Refdinal, Refdinal Refdinal, Refdinal Remon Lapisa Resqy Dwicandra Rhionaldo, Ananda Jafron Rifai Adlani, M. Rifaldo Novembli Rika Yunita Rinto Mariadi Rodesri Mulyadi Rozaki Yudha, Hatami Said Fuad Amry Salwa Chairani Seftian, Afferli Sihombing, Ahmad Rifai Sudjono, Aldo Alfattah Syahril Syahril Syahril Syahril Thoha, Adi Try Yudo Margono Utama, Alparis Nico Putra Wahyudi Wahyudi Wanda Afnison Wardhana, Bayu Setya Waskito Waskito Waskito Waskito Waskito, Waskito Wulansari, Rizky Ema Yolli Fernanda Yufrizal A Yufrizal Yufrizal Yufrizal Yufrizal Yufrizal Yufrizal, Yufrizal Yusra M. Nur Zainal Abadi Zainal Abadi Zuanda Maulana Nasution