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All Journal Jurnal MEKANIKAL Jurnal Sains dan Teknologi Rekayasa Mesin Jurnal Mechanical Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal Teknik Mesin Aceh International Journal of Science and Technology Jurnal Polimesin Rekayasa Mekanika: Jurnal Ilmiah Teknik Mesin
Afdhal Kurniawan Mainil
Universitas Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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ANALISA KEKUATAN STRUKTUR WALKING BEAM PADA SUCKER ROD PUMP MENGGUNAKAN METODE SIMULASI NUMERIK FINITE ELEMENT ANALYSIS Nanda; Supardi, Nurul Iman; Mainil, Afdhal Kurniawan; Winata, Alben Sindhu
Rekayasa Mekanika: Jurnal Ilmiah Teknik Mesin Vol. 9 No. 1 (2025): April 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekayasamekanika.v9i1.40639

Abstract

Sucker rod pump are a technology that has been used for a long time in the petroleum mining industry and proven effective in lifting oil from wells that have low flow rates. One of the companies in Indonesia which still produces Sucker Rod Pump is PT. Bukaka Engineering Utama Tbk. Sucker Rod Pump is a tool that used to raise petroleum from the well to the ground surface. In a Sucker Rod Pump there are several main components, namely the Walking Beam, Horse Head, Samson Post, Crank, Counter Weight, Pitman, Equalizer, Gear Box, electric motor and V-Belt. Walking Beam is a very component has a big influence on the performance of the Pumping Unit, in this case Walking The beam on the Pumping Unit must be appropriate in terms of strength, durability and... security, this is intended to obtain effective, maximum performance. On During the design process, the Walking Beam was designed using software solidworks 2024. The material used is ASTM A36 Steel Plate, with dimensions 5000mm long, 617mm high and 200mm wide. This Walking Beam analyzed using Solidworks 2024 Software. In the Von Misses stress test, it is obtained The maximum stress result is 76,756 MPa. While the minimum voltage found on the base plate is 0.222 Mpa. For the results of the simulation The maximum displacement value obtained is 2,550 mm for color red and a minimum displacement of 41.498 mm which is indicated by blue. Lastly, safety factor testing was carried out where the results were obtained The maximum safety factor is 1,126.43 on the base plate. Meanwhile numbers The minimum security is in the blue section, namely 0.003. From the results analysis obtained, it can be seen that the Walking Beam was used it's not safe. In the analysis process the author only uses value obtained from calculating the lifting force, object mass, well volume, and the weight of the load used (ignoring the weight of the Equlizer, Pitman, Crank, and power from the gear reducer). This is done to find out what are the conditions when the Walking Beam is operating to lift fluid from At the bottom of the well then there was a problem with the drive motor.
Comparative Study of Deep Learning Models to Classify of Multi-Class Skin Cancer on Imbalanced Data Oktoeberza, Widhia KZ; Rahman, Muhammad Farchan Al; Vasiguhamiaz, Azvadennys; Huda, Widya Nurul; Mainil, Afdhal Kurniawan; Sari, Julia Purnama
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.85544

Abstract

Skin cancer diagnosis faces challenges in efficiency and accuracy. This research addresses the need for improved non-invasive diagnostic tools by leveraging deep learning for multi-class skin cancer classification from dermoscopic images. A key focus is overcoming the limitations of imbalanced datasets, common in medical imaging, which can hinder model performance. We propose an optimal strategy utilizing a Convolutional Neural Network (CNN) transfer learning methodology. The process involves CNN-based segmentation to isolate relevant regions, followed by feature extraction and classification. We comparatively evaluated three pre-trained transfer learning techniques: DenseNet201, ResNet50, and VGG16, using the HAM10000 dataset (10,015 images across seven skin cancer classes). To mitigate severe class imbalance, Random Oversampling was employed, chosen for its simplicity and effectiveness in balancing the dataset and enhancing model generalization. Model performance was rigorously evaluated using accuracy, precision, recall, and F1-score. DenseNet201 consistently achieved superior performance, with an accuracy of 97% post-oversampling. It also exhibited the highest precision, recall, and F1-score across all models, confirming its effectiveness in classifying both majority and minority classes. Compared to previous studies on HAM10000, our DenseNet201 model's test accuracy of 96.52% is competitive or superior to reported accuracy of 90-92%. This highlights the synergistic effect of DenseNet201's efficient feature reuse and robust data balancing. This research provides a robust framework for advanced methodologies in skin cancer classification, particularly for imbalanced medical image datasets.
Experimental study on a laboratory-scale archimedes screw turbine using pitch-to-diameter ratio for low-head hydropower Helmizar Helmizar; Nurcholish Windiharto; Yovan Witanto; Afdhal Kurniawan Mainil; Rahmat Iman Mainil; Khotso Sai
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.v23i3.6690

Abstract

The Archimedes screw is a hydropower technology well-suited for low-head applications This study investigates the performance of a laboratory-scale Archimedes screw turbine for low-head hydropower applications by varying pitch-to-diameter ratio (P/D = 0.3, 0.38, 0.45, 0.52) and inclination angle (β = 22°, 25°, 27°). Experiments were conducted in a controlled water flow environment to evaluate torque, power output, and efficiency at different rotational speeds. Results indicate that both P/D and β significantly influence energy conversion. The highest performance was achieved at P/D = 0.45 and β = 22°, producing a peak torque of 0.36 Nm, a power output of 2.4 W, and a maximum efficiency of 52.37%. Lower inclination angles contributed to improved hydraulic energy capture due to better water filling and reduced slippage. These findings highlight the importance of optimizing geometric parameters to enhance turbine performance in small-scale, sustainable energy systems. The results offer design guidance for implementing Archimedes screw turbines in rural or off-grid low-head hydropower scenarios.
Co-Authors Adi Hans Purba Ahmad Fauzan Suryono Aulian Samri Azridjal Aziz Dani Ikhsan Putra Dri Asmawanti-s Faisal Afif Fauzan Andreas Fauzan Andreas Gusta Gunawan Helmizar Helmizar - Hendri van Hoten Heni Nopianti Huda, Widya Nurul Ida Ayu Putu Sri Widnyani Izzudin Ali Raja Siregar Julia Purnama Sari Khotso Sai M Akmal Muhammad Faizal Syukrillah Nanda Nurbaiti Nurbaiti Nurbaiti Nurbaiti Nurcholish Windiharto Nurul Deswita Nurul Iman Supardi Oktoeberza, Widhia KZ Permadi, Agung Imam Rahman, Muhammad Farchan Al Rahmat Iman Mainil Renhard Niptro Gultom Sarwo Fikri Sayfri Syafri Silitonga, Jhonson Van Syafri ' Vasiguhamiaz, Azvadennys Wandi Wahyudi Winata, Alben Sindhu Yovan Witanto