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Budi Arifvianto
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Departmen Teknik Mesin dan Industri, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No. 2, Yogyakarta 55281, Indonesia
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Journal of Mechanical Design and Testing (JMDT)
Published by Universitas Gadjah Mada
ISSN : 27161293     EISSN : 26858029     DOI : 10.22146
Core Subject : Engineering,
Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Design of mechanical components used in engineering structures, machines and engines, computer aided design (CAD), computer aided manufacturing (CAM), the development of methodology for designing machine elements or mechanical components. Finite element analysis, computational fluid dynamics, computational heat and mass transfer, applied mechanics, biomechanics. Manufacturing technologies, materials processing technologies, conventional and non-conventional machining, powder metallurgy, casting, welding, additive manufacturing and rapid prototyping, automation. Evaluation of engine performance, tribology and lubrication, engine maintenance, testing of mechanical components, materials characterizations, failure analysis. Experimental fluid dynamics, multiphase flow, heat and mass transfer, pump and compressor. Energy conversion, turbo machineries, internal combustion engines, power plant. Mechanical engineering education, learning method for mechanical engineering education, engineering ethics.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 7 Documents
 1 
Search results for , issue "Vol 7, No 1 (2025): Articles" : 7 Documents clear
Analisis Reverse Engineering L-Bracket dan Cross Member Pada Perisai Kolong Al Ihsan, Rozaan Faros; Pratama, Wisnu Bayu; Handoko, Handoko; Kurniawan, Wingky; Basuki, Budi; Wibowo, Setyawan Bekti
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.85959

Abstract

Komponen perisai kolong (side guard) pada truk komersial, merupakan komponen baru yang wajib harus dimiliki oleh truk yang beroperasi di Indonesia. Kewajiban ini harus dipenuhi oleh truk komersial, dan tercantum pada Peraturan Menteri Perhubungan Republik Indonesia nomor 74 Tahun 2021 tentang perlengkapan keselamatan kendaraan bermotor. Peraturan tersebut dilatarbelakangi oleh banyaknya kecelakaan tabrak kolong (Underride) yang terjadi. Side guard wajib dimiliki oleh seluruh kendaraan komersial dan terpasang dari perusahaan pembuat sampai dengan karoseri sebagai safety dan regulasi. Side guard dari perusahaan pembuat nantinya tidak digunakan kembali setelah kendaraan sampai karoseri. Perusahaan terkait mengeluarkan biaya yang tinggi untuk membuat side guard untuk komponen bracket dan crossmember. Maka dalam penelitian ini akan dilakukan optimalisasi desain bracket dan cross member sebagai komponen utama penyusun rangkaian komponen side guard untuk mengurangi biaya produksi. Optimasi desain akan dilakukan menggunakan metode analisis reverse engineering, metode analisis CAE (Computer Aided Engineering) dengan bantuan software CATIA, dan analisis cost reduction untuk melihat cost down yang terjadi. Pada penelitian ini akan menggunakan metode penelitian kualitatif dan kuantitatif pada pembahasan analisis CAE. Hasil penelitian dari aktual cases ini didapatkan desain baru hasil optimasi pada L-bracket, pengurangan thickness pada L-bracket dan cross member, hasil analisis CAE pada single part (L-bracket dan cross member) dan assembly part (ROH (Rear Overhang) dan Wheelbase Assy), dan cost down yang didapatkan dari hasil optimasi desain. Setelah dilakukan penelitian dan pembahasan maka disimpulkan bahwa optimasi desain yang dilakukan dapat memangkas biaya produksi perisai kolong sebesar 54,7% pada cross member. Pada L-bracket nomor 1 mengalami cost down sebesar 52,7%. Kemudian, pada L-bracket nomor 2 mengalami cost down sebesar 48,3%. Secara keseluruhan dari hasil penelitian ini dapat diimplementasikan atau referensi implementasi pada rangkaian side guard.
Simulasi Karakterisasi Solar Water Heater Sistem Aktif dengan Variasi Bentuk Pipa Kapsul PCM Sidiq, Muhammad Fadel; Waluyo, Joko
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.98503

Abstract

Pemanfaatan teknologi panel surya salah satunya solar water heater (SWH) yaitu alat pemanas air dengan menggunakan energi matahari sebagai sumber pemanas dalam sistemnya. Latent Heat Thermal Energy Storage (LHTES) adalah salah satu metode penyimpanan energi termal (TES) yang memanfaatkan sifat laten dari material untuk menyimpan energi termal. Pada penelitian ini dilakukan pengkajian mengenai pengaruh bentuk pipa PCM pada tangki penyimpanan panas SWH terhadap karakterisasi PCM (temperatur, grafik pelelehan, dan kurva pelelehan) pada proses pembebanan panas. Penelitian ini memodelkan SWH dengan spesifikasi diameter tangki 260 mm serta diameter pipa penghubung 12 mm. Kapsul PCM divariasikan dengan bentuk konsentris dan tabung dan variasi debit yaitu 1 Lpm, 4 Lpm dan 7 Lpm. Solar collector menerima fluks panas 1000 W/m², dan air disirkulasikan menggunakan pompa menuju tangki penyimpan kalor berisi paraffin wax RT 52. Hasil menunjukkan bahwa bentuk kapsul konsentris lebih efektif dalam penyerapan panas dari hot transfer fluid HTF dibandingkan bentuk tabung, terutama pada debit aliran 7 lpm. PCM bentuk konsentris mencapai fase pelelehan cair seutuhnya pada menit 70 sedangkan pada PCM berbentuk silinder waktu pelelehan fase cair terjadi pada menit ke 80 pada debit 7 LPM.   Perbedaan debit aliran juga mempengaruhi waktu pelelehan PCM secara signifikan. Dengan demikian, bentuk kapsul konsentris dapat mengoptimalkan kinerja SWH dalam penyimpanan dan pelepasan energi termal.
Electric Vehicle Battery and Motor Sizing for Yogyakarta Tourism Spots Miasa, I Made; Widyaparaga, Adhika; Sucipto, Sucipto
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.105334

Abstract

Pertumbuhan pariwisata di Daerah Istimewa Yogyakarta telah mendorong kebutuhan terhadap transportasi ramah lingkungan. Kendaraan listrik (EV) menjadi solusi untuk mengurangi emisi karbon dan meningkatkan kenyamanan wisatawan. Studi ini dilakukan untuk menentukan spesifikasi optimal EV untuk rute tujuan wisata lokal di Provinsi Yogyakarta melalui survei lapangan dan preferensi wisatawan. Analisis mencakup perhitungan daya dan torsi motor listrik berdasarkan hambatan gerak serta kebutuhan energi untuk menentukan kapasitas baterai optimal dalam dua skenario: tanpa dan dengan stasiun pengisian daya. Hasil kajian menunjukkan bahwa rute wisata di Mangunan, dengan elevasi signifikan, memerlukan daya lebih besar dibandingkan rute datar seperti Kraton–Gumuk Pasir. Kapasitas baterai bervariasi tergantung skenario pengisian, mempertimbangkan konsumsi daya motor, pendingin udara, dan sistem keselamatan. Studi ini memberikan dasar untuk pengembangan EV wisata berkelanjutan di Yogyakarta.
Life Cycle Impact Assessment Priok Power Generation Unit: Comparison Based on Operating Time Span Wicaksono, Adam; Prayitno, Heru Pujo; Prabowo, Himawan Khalid
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.108698

Abstract

Priok Power Generation Unit (PGU) is a combined cycle power plant (CCPP) which is one of the national vital objects with a generating capacity of 2,723 MW which functions as a load follower and Peaker in the electricity network system. This study aims to look at the environmental impact performance resulting from plant operating patterns January-December in 2020 and 2022, which was carried out using the life cycle assessment (LCA) method with SimaPro. The method life cycle impact assessment uses the ReCipe and CML IA baseline methods. The purpose of this comparison is to see improvements in the environmental performance of generating units to support sustainability. The results of this study show that there has been a change in the results of the environmental impact assessment in the Green House Gases (GHG) and Land Use Change (LUC) are the impact categories with the most significant reduction, namely more than 90%. Meanwhile, water footprints are the only impact that experiences an increase in environmental impacts during the 2020 operating period compared to the 2022 operating period.
Hydropower Plant Generation Forecasting using Long Short-Term Memory (LSTM) for Optimizing Water Utilization Wibowo, Yoggy Aji; Afanda, Muhammad Daniyal; Azmi, Yuzka
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.108699

Abstract

Hydropower plants face significant challenges with water availability as climate change increases weather uncertainty, affecting water usage efficiency. To improve the efficiency of water usage, decision-making should be based on long-term data and prediction methods beyond just water levels and weather forecasts. Therefore, improvements are needed in decision-making regarding operating patterns to increase hydropower efficiency. Long Short-Term Memory (LSTM) methods in water use prediction offer an innovative approach to increase efficiency and reduce waste of water resources. LSTM, a variant of Recurrent Neural Network (RNN), can recognize long-term patterns and dependencies in time series data, making it ideal for predicting fluctuating energy production capacity. By applying LSTM to predict production energy, a more accurate and reliable prediction model could be obtained. The model is designed to enhance water use predictions, optimize hydropower operations for efficient resource management, and support scientific basis decision-making based on data in water management. Experimental results show a lower error according to its predictive capacity with the normalized RMSE of 0.06170 and 0.96391 R2 value. The results can then be used in real operation scenarios. It is concluded that the LSTM model is a good strategy for the forecast of water flow for the study of hydroelectric turbine efficiency. This paper discusses the forecasting strategy of production capacity at PM Noor, which uses the LSTM method to assist operation scenarios.
Dehumidifier Box Installation in Electro-Hydraulic Control Oil Tank System to Improve Asset Reliability Program Ruswandi, Isya Agung; Niman, Dede; Anggriawan, Egi
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.108700

Abstract

Phosphate ester is a synthetic lubricant with the advantage of being a fluid that has excellent heat resistance/ fire-resistant fluid. Therefore, phosphate ester oil is widely used in EHC (Electro-Hydraulic Control) systems to regulate the opening of high-temperature steam valves, such as those used in Control Oil Steam 4.3 at PT PLN Indonesia Power Priok Block 4. Despite its advantages, phosphate ester oil has a natural hygroscopic property that allows it to absorb water from the atmosphere. This can initiate the hydrolysis process, which can lead to oil deterioration. In this study, the behavior of the water absorption rate by phosphate ester was observed under ambient humidity conditions from year 2020 to 2023. Subsequently, an innovative dehumidifier box was designed based on the idea of controlling humidity around the control oil tank and was implemented in October 2023. Observations were conducted again for nine months to monitor the behavior of the water absorption rate by phosphate ester under controlled humidity conditions. The results of the observation of the water absorption rate by phosphate ester under ambient humidity (50- 80%) showed a high increase of 24 to 62 ppm per month, causing the water content to exceed the warning limit (max. 1000 ppm), necessitating high maintenance costs ranging from Rp 37,830,000 to Rp 363,584,000 or more annually to maintain the quality of the lubricant. In contrast, the results of the observation of the water absorption rate under controlled humidity conditions (20%) showed a much lower rate of 19 ppm per month, not exceeding the warning limit. Based on these findings, it can be concluded that humidity control using the innovative dehumidifier box significantly reduces the water absorption rate by phosphate ester oil, thereby minimizing oil deterioration and saving maintenance costs.
Generator Early Warning System Based on Partial Discharge & Operation Parameters to Prevent Catastrophic Failure Mahardhika, Aditya; Prayogo, Bobby
Journal of Mechanical Design and Testing Vol 7, No 1 (2025): Articles
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.108701

Abstract

Generators are essential components in the power generation industry, responsible for maintaining a continuous and reliable electricity supply. Ensuring their health is critical to avoid costly downtime and catastrophic failures. Traditional offline health assessments delay the detection of potential issues and may not provide accurate diagnostics. Partial Discharge (PD) analysis has become a valuable tool for identifying insulation faults in generator stators by measuring discharge magnitudes. However, despite the implementation of PD technology, catastrophic failures still occur, often due to a lack of understanding of PD analysis and the absence of an effective early warning system. To address these issues, an innovative online early warning system has been developed, utilizing Digital Signal Input Modules (DSIM) connected to Program Vision for real-time data collection and PD analysis. This system significantly enhances diagnostic capabilities by not only monitoring PD magnitude trends but also incorporating operational parameter comparisons to swiftly identify the source of any anomalies. The creation of a comprehensive online monitoring dashboard, which integrates all generator operational parameters, enables real-time health assessments and provides operators with actionable insights, thereby improving maintenance strategies and drastically reducing the risk of unexpected failures. This enhanced system empowers operators to proactively address potential issues, ensuring greater generator reliability and minimizing operational disruptions.

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