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Wibowo, Farit Hendro
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Optimasi Desain Ban Tanpa Udara (Non Pneumatic Tire) Dengan Struktur Hexagonal Honeycombs Menggunakan Response Surface Method (RSM) Farit Hendro Wibowo; Moch. Agus Choiron; Anindito Purnowidodo
Proceedings Series on Physical & Formal Sciences Vol. 1 (2021): Proceedings of Smart Advancement on Engineering and Applied Science
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1322.202 KB) | DOI: 10.30595/pspfs.v1i.141

Abstract

Non-Pneumatic Tires (NPT) are tires that do not use compressed air like other tires. In this paper, the optimal design obtained is based on the static and explicit dynamic behavior of the NPT construction, which has hexagonal honeycomb spokes. The hexagonal honeycomb type NPT component consists of the hub wheel, outer ring, spokes, and tread. The honeycomb model is made differently based on tread thickness (20 mm, 25 mm, 30 mm), outer ring thickness (0.25 mm, 0.5 mm, 0.75 mm), spokes thickness (3 mm, 5 mm, 7 mm), and the number of spokes holes (12, 13, 14). Based on the simulation results of Ansys and Minitab, the recommended optimal design is 20 mm tread thickness, 3.2 mm spokes thickness, 0.25 mm outer thickness, and the number of holes 12 pieces.
PkM Dalam Upaya Meningkatkan Kesadaran dan Keterampilan Perawatan Sepeda Motor Untuk Masyarakat Desa Sekarputih Kota Batu Melalui Sosialisasi Perbengkelan Lalu Saefullah; Anggoro Nur Setiawan; Dedy Pradigdo; Farit Hendro Wibowo; Andi Dwi Setiawan; Chandra Surya Dikara
Jurnal Pengabdian Ahmad Yani Vol. 3 No. 1 (2023): June
Publisher : Sekolah Tinggi Teknologi Industri (STTI) Bontang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53620/pay.v3i1.106

Abstract

Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk menyadarkan dan meningkatkan keterampilan tentang perawatan sepeda motor di desa Sekarputih, Kec. Junrejo, Kota Batu Tahun 2021 dengan adanya kegiatan sosialisasi perbengkelan sepeda motor. Perawatan pada sepeda motor yang baik akan memastikan keamanan dan kenyamanan saat berkendara di jalan sehingga akan berkurangnya resiko insiden yang tidak diinginkan. Namun, di banyak daerah pedesaan, pemahaman tentang perawatan sepeda motor masih rendah, dan akses ke bengkel yang berkualitas terbatas. Penelitian ini dilaksanakan melalui serangkaian kegiatan sosialisasi yang melibatkan masyarakat Desa Sekarputih. Kegiatan ini mencakup penyuluhan tentang pentingnya perawatan sepeda motor, teknik-teknik dasar perawatan, dan cara mengidentifikasi masalah umum yang sering muncul pada sepeda motor. Selain itu, warga desa Sekarputih ini disosialisasikan pelatihan praktis di bengkel, warga sangat antusias untuk belajar perawatan sepeda motor. Hasil dari PKM ini membuktikkan warga sekarputih setelah kegiatan sosialisasi yang diberikan meningkatkan kesadaran warga tentang bergunanya perawatan sepeda motor. Selain itu, kegiatan ini juga memberikan manfaat ekonomi bagi bengkel lokal karena meningkatnya permintaan perawatan sepeda motor. Penelitian ini memberikan kontribusi positif terhadap meningkatkan kesadaran dan keterampilan perawatan sepeda motor di Desa Sekarputih pada tahun 2021. Dengan peningkatan ini, diharapkan dapat mengurangi kecelakaan sepeda motor dan meningkatkan keselamatan berkendara di daerah tersebut. Selain itu, kegiatan sosialisasi perbengkelan ini dapat menjadi model bagi daerah-daerah pedesaan lainnya yang menghadapi masalah serupa dalam hal perawatan sepeda motor. Kata kunci: Pelatihan, Bengkel, Sepeda Motor
The development of household-scale biogas technology from organic waste in Lasah Village, Karangploso District Saefullah, Lalu; Ardiyanto Darmanto; Dedy Pradigdo; Farit Hendro Wibowo; Akhmad Ali Imron
Khidmatuna (Jurnal Pengabdian Kepada Masyarakat) Vol 2 No 1 (2023): November
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58330/khidmatuna.v2i2.379

Abstract

Climate change and limited conventional energy resources have pushed to utilize renewable energy. One of them is the development of household-scale biogas technology from organic waste. This Community Service Study (PKM) aims to document and analyze the socialization process of household-scale biogas applications in Lasah Village, Karangploso District, Kab. Poor. The activities carried out are, socialization about the benefits of biogas, the production process, and the operation of the system. Community involvement from the planning stage to implementation. The impact of socialization is assessed through surveys, interviews and observations of community participation and understanding. The study results show an increase in public understanding of the benefits of using biogas and a positive response to socialization and public interest in adopting this technology. It can be concluded that the socialization of the use of biogas technology on a household scale has been well received. Collaboration between researchers and the community can overcome communication barriers and provide practical guidance on the implementation of biogas technology. Although there is still a way forward in terms of system maintenance and management, this initial step provides a strong foundation for further development. It is hoped that this study will provide valuable insights for similar efforts in other areas, as well as encourage the implementation of sustainable technology for a brighter future.
Mathematical Modeling and ANN-Based Optimization of Electrical Conductivity in Fe₃O₄/rGO Nanocomposites Derived from Corncob Waste: Telekomunikasi Militer Farit Hendro Wibowo; Harnyoto; Akhmad Ali Imron
Jurnal Telkommil Vol 7 No 1 (2026): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v7i1.941

Abstract

In this study, a mathematical modeling and artificial neural network (ANN)-based optimization approach was developed to predict and enhance the electrical conductivity of Fe₃O₄/rGO nanocomposites synthesized from corncob waste. The Fe₃O₄ nanoparticles were uniformly anchored on reduced graphene oxide (rGO) sheets derived from bio-waste precursors to form a conductive hybrid structure. Experimental data comprising 150 samples were used to train a feed-forward backpropagation ANN model with a 4–8–4–1 architecture. The model effectively captured the nonlinear relationships among Fe₃O₄ content, rGO composition, temperature, and reaction time with high predictive accuracy (R² = 0.9898 and RMSE = 0.0452). The training and validation loss curves confirmed stable convergence of the model. The ANN-based response surface analysis revealed that an optimal combination of 12 wt.% Fe₃O₄, 8 wt.% rGO, and a synthesis temperature of 700 °C resulted in maximum conductivity. This study provides a quantitative and interpretable framework bridging experimental synthesis with data-driven optimization for bio-derived nanocomposites.
Co-Authors Akhmad Ali Imron Akhmad Ali Imron Andi Dwi Setiawan Anggoro Nur Setiawan Anindito Purnowidodo Ardiyanto Darmanto Chandra Surya Dikara Dedy Pradigdo Harnyoto Moch. Agus Choiron Pradigdo, Dedy Saefullah, Lalu