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All Journal Jurnal Simetris Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Engine: Energi, Manufaktur, dan Material
Hakim, Sinta Uri El
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Revolutionizing Agriculture: Electric Tractors for Indonesian Sustainable Farming Krisnaputra, Radhian; Aisyah, Nyayu; Hakim, Sinta Uri El; Pratiwi, Ilham Ayu Putri; Bahari, Galuh; Bahiuddin, Irfan; Sugiyanto, Sugiyanto; Hendaryanto, Ignatius Aris; Wicaksono, Dimas Aryo; Setyawan, Pendi
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1652

Abstract

The global shift towards electrification has extended its reach to non-road mobile machinery, with a primary focus on agricultural applications. This growing trend reflects the larger shift towards sustainability and the minimization of environmental effects. Electric tractors and other farm machinery have gained popularity due to their environmental benefits, cost savings, and technological advancements. The electric non-road vehicles are not only quieter and more environmentally friendly but also offer the potential for reduced operational costs, making them a compelling choice for farmers looking to modernise their equipment while adhering to stringent environmental regulations. Thus, the concept of an electric tractor becomes an important topic to be discussed. This paper will discuss the development of tractors in Indonesia and proposed design for electric tractors that are suitable for Indonesia to support sustainable farming.
Desain Mesin Kempa dan Cetakan Bambu Laminasi: Studi Kasus Rosse Bambu Yogyakarta Aisyah, Nyayu; Hakim, Sinta Uri El; Krisnaputra, Radhian
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 15, No 1 (2024): JURNAL SIMETRIS VOLUME 15 NO 1 TAHUN 2024
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v15i1.10981

Abstract

Bambu laminasi merupakan material bambu yang mengalami pemrosesan sehingga memiliki bentuk dan ketahanan yang mirip seperti kayu. Rosse Bambu merupakan salah satu unit usaha masyarakat yang menyediakan jasa pembuatan bambu laminasi di Yogyakarta. Produk dari Rosse Bambu antara lain meja kursi, bed dari bambu dan bahkan bahan bangunan struktural untuk struktur rumah. Setelah mengevaluasi mesin kempa yang ada pada Rosse Bambu, diketahui bahwa mesin kempa tersebut kurang efisien dan cenderung membebani pengrajin dalam pengoperasiannya. Sehingga perlu dilakukan evaluasi pada mesin tersebut. Pada paper ini, dibahas suatu ajuan rancangan desain mesin kempa bambu dan cetakan papan bambu yang dinilai lebih efisien sehingga memudahkan pekerjaan pengrajin dari sisi waktu dan tenaga. Selain itu dari desain yang telah dibuat kemudian dilakukan analisis stress untuk mengetahui efek beban yang akan diberikan pada kerangka mesin kempa. Hasilnya menunjukkan bahwa, desain yang diajukan memiliki ketahanan terhadap tekanan yang baik atau masih dalam batasan yang dapat diterima sehingga dapat dipertimbangkan untuk diproduksi menjadi model yang sebenarnya
Entropy-Based Feature Extraction and K-Nearest Neighbors for Bearing Fault Detection Hakim, Sinta Uri El; Bahiuddin, Irfan; Arifianto, Rokhmat; Ritonga, Syahirul Alim
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 1, February 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i1.1814

Abstract

Bearing failures in rotating machines can lead to significant operational challenges, causing up to 45-55% of engine failures and severely impacting performance and productivity. Timely detection of bearing anomalies is crucial to prevent machine failures and associated downtime. Therefore, an approach for early bearing failure detection using entropy-based machine learning is proposed and evaluated while combined with a classifier based on K-Nearest Neighbors (KNN) and Support Vector Machine (SVM). Entropy-based feature extraction should be able to effectively capture the intricate patterns and variations present in the vibration signals, providing a comprehensive representation of the underlying dynamics. The results of the classification carried out by KNN-Entropy have an accuracy value of 98%, while the SVM-Entropy model has an accuracy of 96%. Hence, the Entropy-based feature extraction giving the best accuracy when it is coupled with KNN.
Bamboo Diameter Detection System Based on Image Processing as a Pre-Assessment for an Automated Bamboo Splitting Technology Hakim, Sinta Uri El; Arifianto, Rokhmat; Sugiyanto; Pratiwi, Ilham Ayu Putri; Bahari, Galuh; Krisnaputra, Radhian
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 2, May 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i2.2170

Abstract

Bamboo is recognized for its eco-friendly attributes and rapid growth, serves as a promising sustainable alternative to wood. However, the high production cost of laminated bamboo remains a major challenge due to labor-intensive processes, particularly manual splitting, which affects efficiency and labor costs. To overcome this issue, this study presents an automated bamboo diameter measurement system that leverages Canny Edge Detection and Hough Transform to ensure precise and uniform slat dimensions. A dataset of 100 bamboo images with diameters ranging from 11 - 13 cm was utilized for training and testing. The system achieved a high accuracy, with a coefficient of determination (R²) of 0.973, demonstrating strong predictive reliability. Furthermore, Bayesian Optimization was applied to fine-tune parameters, resulting in an optimized configuration for both Canny Edge Detection and Hough Transform. The proposed system reduces dependence on manual labor, thereby lowering production costs and improving overall manufacturing efficiency. Automation in the bamboo splitting process ensures consistent and precise slat dimensions, supporting scalability and enhancing the economic feasibility of laminated bamboo production. The findings of this study provide a practical and sustainable solution to optimize production, making laminated bamboo a more viable and competitive material in the industry.
Co-Authors Aisyah, Nyayu Arifianto, Rokhmat Bahari, Galuh Bahiuddin, Irfan Ignatius Aris Hendaryanto Pratiwi, Ilham Ayu Putri Radhian Krisnaputra Ritonga, Syahirul Alim SETYAWAN, PENDI SUGIYANTO Sugiyanto - Wicaksono, Dimas Aryo