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All Journal METAL : Jurnal Sistem Mekanik dan Termal Journal of Information System Exploration and Research
Rispandi
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Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Analisis tegangan pada struktur mesin pencacah plastik menggunakan metode elemen hingga (MEH) dan uji kerja mesin pencacah plastik Hendra Hendra; A. Indriani; Hernadewita Hernadewita; A. Mardian; N. Kholik; Rispandi Rispandi; Y. Suhartini
METAL: Jurnal Sistem Mekanik dan Termal Vol 5, No 1 (2021): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1519.13 KB) | DOI: 10.25077/metal.5.1.9-16.2021

Abstract

Plastic is a non-biodegradable material. Plastic waste must be processed using processing machines or other processing methods such as processing plastic into fuel and other forms of products. Plastic waste processing machines are available in plastic shredding and injection machines. The performance of plastic shredding and injection machines depends on the plastic waste treated, the shape of the cutting edge, the structural strength of the plastic shredding and injection machines and others. The strength of plastic shredding and injection machines can be calculated by means of simulation using the finite element method (FEM). This method will save costs, selection of materials and cutting edge shapes quickly and easily and soon. In this study, FEM was used to simulate the design strength of a plastic shredding and injection machines in the form of pressure and displacement, followed by the manufacture of plastic shredding and injection machines and the work test of plastic shredding and injection machines. From the simulation results using FEM, the maximum voltage and structural displacement of plastic cutting and injection machine is 4.57 MPa and 0.031 mm and work test showed the machine can cut 800 grams of plastic waste in 278 seconds with motor rotation of 176 rpm, current 6.8 A, active force. Electrical load 1214.4 watts and torque 44.74 lb.ft.
Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano Hakim, Ade Anggian; Juanara, Elmo; Rispandi, Rispandi
Journal of Information System Exploration and Research Vol. 1 No. 2 (2023): July 2023
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v1i2.175

Abstract

Health is an essential aspect of life. The World Health Organization (WHO) has officially declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For preventive measures against Covid-19, the Indonesian government is trying to deal with the Covid-19 pandemic with 3M health protocol aimed at community activities, such as Memakai Masker (wearing masks), Mencuci Tangan (washing hands), and Menjaga Jarak (maintaining distance). In this study, software and hardware design was carried out to detect mask users and immediately warn violators who do not use masks automatically and can function automatically offline by utilizing digital image processing using NVIDIA Jetson Nano using the YOLO (You Only Look Once) method. The CNN YOLOv4-tiny model is chosen to obtain measurement results for mask user detection accuracy because it has a relatively minor computational value and is faster. The best camera detection angle is obtained at a vulnerable angle of 45O-90O or in the range of 90O-135O with value confidence that the average is 99.94% and the best accuracy is at a lux value greater than 70, and a minimum camera height of 1 meter and a maximum of 3 meters. Under conditions of lux 96 (bright), the maximum distance for detecting a face object is 12 meters, and the ability of the system to output a warning sound has been successfully integrated with a relay to run the mp3 module separately from the system, so as not to interfere with the Jetson Nano computation process and the model is successfully run on the Jetson Nano with an average computation of 13 frames per second.
The manufacture and distribution temperature of aluminum molding for plastic beam from waste PP H, Hendra; Putra, Yoga Rahmadi; Septiana, Reski; Hernadewita; Demustila, Harly; Rispandi; Hermiyetti; Rahmayetty
METAL: Jurnal Sistem Mekanik dan Termal Vol. 9 No. 1 (2025): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/metal.9.1.46-53.2025

Abstract

One method utilized in the production of plastic goods is injection molding. An essential part of the injection molding process is a mold, which is used to create different types of plastic goods in accordance with a preset design. The goal of this study is to create plastic beam molding molds using the EDM and milling production methods and evaluate the molds' form geometry and resilience to temperature. The material's thermal conductivity is 200 W/m.k. due to the properties of the 1060 aluminum alloy. It can be determined that the low mold temperature during the injection process causes plastic products to distort and swell. The results show that the EDM machining technique achieved a frequency of 142.8% and a duty cycle value of 57%. Using barrel temperatures of 1600C and 250°C for temperature resistance tests, the mold was determined to be in rather good condition when exposed to high temperatures. This is demonstrated by the results of testing the shape's geometry, which showed similarity in the product's dimensions with the mold and an increase in the product's dimensions.
The Manufacturing Process of Aluminum Hammer Molding using CNC 3 Axis for Waste Plastic in the Injection Molding Machine H, Hendra; Reski Septiana; Dio Restu Putra Ardhika; Hernadewita; Rahmayetty; Rispandi; Hermiyetti; Gusri Akhyar
METAL: Jurnal Sistem Mekanik dan Termal Vol. 9 No. 2 (2025): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/metal.9.2.139-145.2025

Abstract

A process called injection molding involves cooling molten plastic after it has been injected into a mold to create a finished product. Polypropylene (PP) and polyethylene terephthalate (PETE), two basic ingredients used in plastic, are melted into a liquid and then injected into a mold. tests pertaining to the geometry of the molded product's shape and the mold's resistance at 150 °C. The mold material used in this study is aluminum 6061, and the techniques used are modeling and experimentation. The 6061-aluminum material has good temperature resistance and yields dimensional results, thickness, and shape that are almost identical to the design developed based on geometry features, which makes it suitable for use in the plastic injection process, according to the test findings.
Optimizing R&D to Enhance Local Content (TKDN) in Electric Motor Components for National Industry Independence herman, pudimirama; Hendra; Hamdan Akbar Notonegoro; Reski Septiana; Rispandi
METAL: Jurnal Sistem Mekanik dan Termal Vol. 9 No. 2 (2025): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/metal.9.2.158-165.2025

Abstract

The electric motor industry in Indonesia is a strategic sector that plays a vital role in supporting national economic development. However, challenges in improving competitiveness—particularly regarding the use of local components—remain a major obstacle. Therefore, strengthening the Domestic Component Level (TKDN) is essential as an effort to increase industrial self-reliance, strengthen the local economy, and reduce dependence on imports [1].This study aims to calculate and analyze the TKDN component level of electric motor products and evaluate its impact on the development of local industries and national economic growth. Furthermore, the study seeks to provide strategic recommendations for sustainably increasing TKDN in the future. The research methods include literature review, regulatory analysis, and the collection and analysis of primary data from relevant industry stakeholders. This research adopts a case study approach focused on the automotive sector, with emphasis on actual conditions in Indonesia, referring to Government Regulation No. 28 of 2024. The expected outcomes include: (1) a documented TKDN component level calculation, and (2) policy recommendations for enhancing TKDN that support the development of local technology. It is expected that the results of this study will encourage national industrial independence, expand employment opportunities, and enhance the global competitiveness of locally produced goods.
Co-Authors A. Indriani A. Mardian Dio Restu Putra Ardhika Elmo Juanara, Elmo Gusri Akhyar Hakim, Ade Anggian Hamdan Akbar Notonegoro Harly Demustila Hendra Hendra H Hendra Hendra herman, pudimirama Hermiyetti Hernadewita Hernadewita, Hernadewita N. Kholik Putra, Yoga Rahmadi Rahmayetty Reski Septiana Septiana, Reski Y. Suhartini