Publication

(Ergonomics & Human Factors)

List selected article:

1. Sugiono, Wu, M. H. and Oraifige, I. (2011) ‘Applying the design of experiment (DoF) to optimise the NN architecture in the car body design system’, in Proceedings of 2011 17th International Conference on Automation and Computing, ICAC 2011.
2. Sugiono, Mian Hong Wu, Ilias Oraifige, (2012), ‘Employ the Taguchi Method to Optimize BPNN’s Architectures in Car Body Design System’, American Journal of Computational and Applied Mathematics, 2(4): 140-151, doi: 10.5923/j.ajcam.20120204.02
3. Sugiono, D. H. and Riawati, L. (2014) ‘Predicting the income of chicken husbandry using artificial neural network: A case study of chicken farms in Blitar’, International Business Management, 8(3). doi: 10.3923/ibm.2014.190.195.
4. Sugiono, S., Rudy, S. and Denny, W. (2016) ‘Investigating the impact of environment noise and music on the human brain by using a brain-computer interface (BCI)’, Acta Neuropsychologica, 14(3). doi: 10.5604/17307503.1222841.
5. Sugiono, Dewi, H. and Rudy, S. (2016) ‘Measuring thermal stress of dairy cattle based on temperature humidity index (THI) in tropical climate’, MATEC Web of Conferences. doi: https://doi.org/10.1051/matecconf/20166806004.
6. Sugiono (2016) ‘Analysis of temperature difference on the total of energy expenditure during static bicycle exercise’, in IOP Conference Series: Materials Science and Engineering. doi: 10.1088/1757-899X/128/1/012012.
7. Tamjidillah, M. et al. (2017) ‘The model relationship of wastes for parameter design with green lean production of fresh water’, Scientific Review Engineering and Environmental Sciences. doi: 10.22630/PNIKS.2017.26.4.46.
8. Tamjidillah, M. et al. (2017) ‘The model relationship of wastes for parameter design with green lean production of fresh water’, Scientific Review Engineering and Environmental Sciences, 26(4). doi: 10.22630/PNIKS.2017.26.4.46.
9. Sugiono, S., Widhayanuriyawan, D. and Andriani, D. P. (2017) ‘Investigating the impact of road condition complexity on driving workload based on subjective measurement using NASA TLX’, in MATEC Web of Conferences. doi: 10.1051/matecconf/201713602007.
10. Sugiono, S., Soenoko, R. and Riawati, L. (2017) ‘Investigating the impact of physiological aspect on cow milk production using artificial intelligence’, International Review of Mechanical Engineering, 11(1). doi: 10.15866/ireme.v11i1.9873.
11. Sugiono, S., Soenoko, R. and Lukodono, R. P. (2017) ‘A designing dairy cattle facilities based on statics/dynamic zoometry by using artificial intelligence’, Telkomnika (Telecommunication Computing Electronics and Control). doi: 10.12928/TELKOMNIKA.v15i1.4677.
12. Sugiono, S., Soenoko, R. and Andriani, D. P. (2017) ‘Analysis the relationship of physiological, environmental, and cow milk productivity using AI’, in Proceedings of 2016 International Conference on Data and Software Engineering, ICoDSE 2016. doi: 10.1109/ICODSE.2016.7936165.
13. Sugiono, S., Soenoko, R. and Andriani, D. P. (2017) ‘Analysis the relationship of physiological, environmental, and cow milk productivity using AI’, in Proceedings of 2016 International Conference on Data and Software Engineering, ICoDSE 2016. doi: 10.1109/ICODSE.2016.7936165.
14. Sugiono, S., Novareza, O. and Fardian, R. (2017) ‘Thermal comfort study of plastics manufacturing industry in converting process’, Scientific Review Engineering and Environmental Sciences, 26(3). doi: 10.22630/PNIKS.2017.26.3.39.
15. Sugiono et al. (2017) ‘Investigating the impact of ornamental plants correlated with indoor thermal comfort and eco-energy’, International Review of Civil Engineering, 8(5). doi: 10.15866/irece.v8i5.12703.
16. Lamatinulu et al. (2017) ‘Design of strategy to increase the added value and competitiveness of products mini cocoa processing industry based OVOP with using Interpretive Structural Modeling (ISM)’, Journal of Engineering Science and Technology Review, 10(5). doi: 10.25103/jestr.105.12.
17. Sugiono, S., Efranto, R.Y. & Budiprasetya, A.R. (2018). Reducing musculoskeletal disorder (MSD) risk of wiring harness workstation using workplace ergonomic risk assessment (WERA) method. Scientific Review Engineering and Environmental Sciences, 27 (4), 536-551. doi: 10.22630/PNIKS.2018.27.4.50
18. Astuti, M. et al. (2018) ‘The eco-innovation variables which influence the performance of creative industries center of natural stone crafts’, Journal of Ecological Engineering, 19(1). doi: 10.12911/22998993/79446.
19. Sugiono Sugiono, Widhayanuriyawan Denny, Debrina Puspita Andriani, (2018), The Impact ff Road Complexityon The Psychophysiological Load Experienced By Car Drivers Using Electroencephalography (EEG) Measurement Of Brainwaves,  Acta Neuropsychologica, 16 (4): 361-374. DOI: 5604/01.3001.0012.7926

Book

1. ERGONOMI UNTUK PEMULA (Prinsip Dasar & Aplikasinya)
   Penulis: Sugiono, ST., MT., Ph.D
   ISBN: 978-602-432-639-5 978-602-432-640-1
   Tahun Terbit :Nov-18
   Jumlah Halaman: xviii + 180
   Dimensi: 15,5 x 23,5
   Jenis Kertas: Book paper
2. Static/Dynamic Zoometry Concept to Design Cattle Facilities Using Back Propagation Neural Network (BPNN), Chapter book, IntechOpen Publisher, London, 2018

Paten

• Automasi Evaluasi Postur Kerja Rula-Reba Dengan Teknologi Work Posture Evaluation (Wpe)
• Desain Mekanik Penyemprotan Air Yang Efisien Untuk Menurunkan Heat Stress Pada Sapi Perah Berbasis Energi Biogas

Pembuatan Zoometry Concept Untuk Cattle Comfort

(Biomaterials)