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All Journal AUSTENIT AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) MACHINERY: Jurnal Teknologi Terapan
Fernandes, Yogi Eka
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Automotive Engineering Control & Systems Engineering Earth & Planetary Sciences Education Energy Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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OPTIMALISASI DESIGN SAMBUNGAN ALUMINIUM EXTRUSION 2020 MENGGUNAKAN METODE FINITE ELEMENT ANALYSIS (FEA) Sani, Almadora Anwar; Gunawan, Indra; Fernandes, Yogi Eka; Suryana, Didi; Nugraha, Agus
AUSTENIT Vol. 16 No. 1 (2024): AUSTENIT: April 2024
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v16i1.7572

Abstract

With the rapid development of technology, the need for innovation is also increasing. One of the most popular technologies today is 3D printers. However, to produce quality 3D prints, a good frame structure is essential. The most important part in 3D printing is the frame structure. The most crucial part in the 3D printing process is the frame structure, namely Core XY. This is very crucial because the frame structure of the Core XY 3D printer has a big influence on the load it will accommodate in supporting the overall 3D printing process. The material used in this research is 6061 aluminum with extrusion profile 2020. This research focuses on analyzing the strength and balance of the structure, as well as the strength of the joints on the Core XY 3D printer due to static loading. To achieve this goal, researchers used the finite element analysis method using Ansys 2021 R1 software to obtain an optimal simulation. The tests used by researchers were carried out by determining the static free value that occurs in the Core XY 3D printer frame. The structural analysis results show the maximum deflection value δmax = 0.25635mm, maximum yield stress εymax = 42.169 MPa, and maximum yield strain σymax = 6.1417e-004mm/mm. Researchers can conclude that the Core XY 3D printer is feasible to use to be able to produce 3D object prints.
STUDI EKSPERIMENTAL PERBANDINGAN EFISIENSI METODE MQL DAN FLOOD COOLING DALAM PROSES PENGEBORAN Aryaputra, Ade; Ahmad Imam; Raihan, Muhammad Sultan; Effendi, Sairul; Dodi Tafrant; Fernandes, Yogi Eka; Arjuna Pratama
MACHINERY Jurnal Teknologi Terapan MACHINERY: Jurnal Teknologi Terapan (In Press)
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/machinery.v7i1.11345

Abstract

Minimum Quantity Lubrication (MQL) merupakan metode pelumasan dan pendinginan dalam proses permesinan. MQL bekerja dengan menyemprotkan fluida pemotongan (cutting fluid) dengan kuantitas cairan yang minim bersamaan tekanan udara pada area pemotongan , teknologi inilah yang membuat cutting fluid langsung menuju zona gesekan tertinggi. Studi eksperimen dilakukan dengan menerapkan teknik flood cooling dan MQL dengan menggunakan fluida pemotongan berbasis minyak nabati pada proses drilling aluminium 6061. Hasil penelitian menunjukkan bahwa kualitas permukaan MQL bukaan ½ memiliki kualitas permukaan lubang yang lebih halus dengan nilai kekasaran permukaan (Ra) 1,17 µm, sedangkan MQL bukaan ¼ dan flood cooling masing-masing memiliki nilai kekasaran permukaan 1,74 µm  dan 1,62 µm. Nilai kekasaran permukaan dari kedua teknik yang diuji tidak berpengaruh secara signifikan. Akan tetapi penggunaan teknik MQL tetap lebih baik dari pada flood cooling dikarenakan selain teknik ini mampu mengeluarkan kuantitas cutting fluid yang sangat minim. Hal ini menciptakan proses pemesinan yang efisien dan mengurangi dampak pencemaran terhadap lingkungan.
Analysis of a 3 kg Capacity Coffee Roasting Machine Fernandes, Yogi Eka; R, Wahyu; Medi, Ali
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.999

Abstract

Coffee is one of Indonesia's most strategic agricultural commodities, contributing significantly to national export revenues and serving as a primary income source for smallholder farmers. However, many small to medium-scale coffee producers still rely on traditional roasting methods that result in inconsistent temperature control, uneven roasting, and suboptimal product quality. This study aims to design, fabricate, and analyze the performance of a 3 kg capacity coffee roasting machine equipped with an LPG-based heating system and an electric motor-driven rotating drum. The machine was designed using Autodesk Inventor Professional 2025 and tested under varying operational conditions, including three roasting temperatures (200°C, 220°C, and 240°C), three roasting durations (10, 15, and 20 minutes), and two drum rotation speeds (40 rpm and 60 rpm). A total of 54 experimental trials were conducted to determine the effect of these variables on moisture content reduction and visual colour characteristics of the roasted coffee beans. Results indicate that the most optimal roasting condition was achieved at at 200°C, 20 minutes, and 40 rpm, yielding an average moisture content reduction of 12.3%, and at 220°C, 15 minutes, and 60 rpm, yielding an average moisture content reduction of 12.1% and producing dark roast beans with uniform colour and appearance. The study demonstrates that higher roasting temperatures combined with longer durations and faster drum rotation speeds significantly enhance moisture evaporation efficiency while maintaining uniform heat distribution. These findings provide practical guidelines for improving coffee processing quality among small-scale producers.
Co-Authors Ahmad Imam Ali Medi Ami, Hidayati Arjuna Pratama Aryaputra, Ade Daniar, Rima Dodi Tafrant Effendi, Sairul Indra Gunawan Nugraha, Agus R, Wahyu Raihan, Muhammad Sultan Renny Maulidda, Renny Sani, Almadora Anwar Suryana, Didi