cover
Contact Name
Budi Arifvianto
Contact Email
budi.arif@ugm.ac.id
Phone
+628973767268
Journal Mail Official
jmdt@ugm.ac.id
Editorial Address
Departmen Teknik Mesin dan Industri, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No. 2, Yogyakarta 55281, Indonesia
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Journal of Mechanical Design and Testing (JMDT)
ISSN : 27161293     EISSN : 26858029     DOI : 10.22146
Core Subject : 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.
Articles 96 Documents
Analisis Centre of Gravity dari Mud Pump Pontoon Faisal Adinegoro; Tono Sukarnoto; Muhammad Ihram Maulana
Journal of Mechanical Design and Testing Vol 8, No 1 (2026): Article in Press
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.99292

Abstract

Mud pump pontoon dipakai untuk proses dewatering atau proses membuang air yang terdapat di pertambangan. Pompa hisap diletakan di atas pontoon dikarenakan kubangan air yang terdapat di pertambangan memiliki area yang cukup luas, sehingga diperlukan pontoon untuk menjangkau seluruh area yang akan dipompa. Centre of gravity (CoG) menjadi salah satu parameter penting dalam mendesain pontoon untuk keseimbangan pontoon, sehingga pontoon tidak akan terguling ataupun tenggelam saat digunakan. Penelitian ini bertujuan untuk mendapatkan lokasi CoG dari mud pump pontoon.  Analisis perhitungan CoG menggunakan metode perhitungan analitik, dimana nilai CoG akan didapatkan setelah CoG dari tiap komponen pada pontoon didapatkan. Beberapa asumsi dalam perhitungan juga dilakukan seperti penyederhanaan bentuk geometri dari beberapa bagian dari pontoon yang cukup kompleks, massa dari fluida berupa air berlumpur berada di dalam komponen perpipaan pada saat beroperasi, serta tangki dari bahan bakar dari pontoon berada dalam kondisi penuh. Hasil perhitungan menunjukan bahwa lokasi CoG dari pontoon sudah mendekati titik tengah dari pontoon baik pada saat idle ataupun pada saat beroperasi, dengan perubahan nilai CoG terbesar dari kondisi idle terhadap kondisi operasi berada di sumbu X dengan perbedaan nilai CoG 12 persen.
Effect of Historical Data Length on Prophet-Based Weekly Load Forecasting Accuracy in a 350 MW Coal-Fired Power Plant Rahwindhy Mazhar Chasnanda; Agus Kurniawan; Hakim Satyadi; Nazrul Effendy; Awang Noor Indra Wardana
Journal of Mechanical Design and Testing Vol 8, No 1 (2026): Article in Press
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.118015

Abstract

Accurate weekly load forecasting is essential for improving the operational efficiency of thermal power plants, particularly in regions with dynamic demand patterns such as the Java–Madura–Bali (Jamali) power system. This study applies the Prophet machine learning model to forecast weekly electricity load in a 350 MW unit of the Pelabuhan Ratu coal-fired power plant and investigates the effect of different historical data lengths on forecasting accuracy using standard statistical metrics. The results show that a one-month dataset achieved the highest accuracy, with a MAPE of 14.72% and an RMSE of 47.32 MW, while longer datasets introduced additional noise and reduced sensitivity to recent load variations. The findings reveal that Prophet’s forecasting performance depends on a trade-off between generalization and responsiveness, with shorter and more recent datasets providing the optimal balance between accuracy, stability, and computational efficiency. The study confirms Prophet’s suitability as a lightweight and interpretable forecasting tool for operational planning, fuel management, and supporting biomass co-firing initiatives in coal-fired generation systems. while also offering new insights into the sensitivity of its performance to historical input length in operational-scale forecasting of thermal generation units.
Optimizing Energy Consumption by Considering PV Rooftop Generation and Battery Storage in Power Plants: Study Case Palabuhanratu Dadang Isnandar; Heru Hermawan; Andik Hermawanto
Journal of Mechanical Design and Testing Vol 8, No 1 (2026): Article in Press
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.118591

Abstract

The integration of rooftop solar photovoltaic (PV) systems with Battery Energy Storage Systems (BESS) represents a strategic approach to improving energy efficiency and supporting a sustainable energy transition. This study evaluates the operational optimization of a residential-scale PV+BESS system implemented at the safety center building of the Palabuhanratu coal-fired power plant (CFPP) in Indonesia. The research focuses on the influence of battery management strategies—particularly discharge energy savings and battery lifespan, with a detailed analysis of C-rate (current rate index value) and Depth of Discharge (DOD) parameters. Results demonstrate that adjusting discharge timing based on weekday and weekend load profiles can effectively lower C-rate levels from 0.18C to 0.09C and Depth of Discharge from 80% to 73%, potentially extending battery life cycle. Through load-shifting strategies, the optimized operations resulted in energy savings of 3,442.5 kWh and financial benefits of USD 80 between October 2024 and July 2025. These findings highlight the critical role of adaptive energy management in enhancing the technical performance and longevity of residential PV+BESS systems.
Evaluation of Silica-based Additives for Slagging Mitigation in Biomass Combustion: A Thermochemical Approach Abdul Wahid Erlangga; Mochamad Zainudin Ade Arta; Muhammad Syarif Hidayatullah
Journal of Mechanical Design and Testing Vol 8, No 1 (2026): Article in Press
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.121139

Abstract

Slagging and fouling remain key barriers to reliable biomass cofiring in coal-fired boilers due to alkali-rich ashes that form low-melting deposits. This study evaluates a low-cost mitigation route using a 3 wt% natural soil additive (SiO₂–Al₂O₃ rich) and quantifies its impact on alkali release and slag formation for rice husk (RH), sawdust (SD), and empty fruit bunch (EFB). Thermodynamic-equilibrium calculations were performed in FactSage (FToxid + FactPS; Equilib module) over 500–1800 °C, using literature-based ultimate/oxide analyses normalized to 1,000 g fuel and combustion air with 15% excess. Volatile species (K, Na, KCl, NaCl, KOH, NaOH) and slag-phase oxides (K₂O, Na₂O) were tracked; ash-melting behavior was additionally probed under oxidizing and reducing atmospheres. The additive substantially suppressed alkali volatility for moderate-alkali biomasses. In RH, KCl(g) and KOH(g) declined by ~40–45%, with ~50% reduction in total gaseous alkalis. In SD, KOH(g) and K(g) fell by 52% and 46%, and slag-phase K₂O decreased by 51%, indicating stabilization via aluminosilicate formation. For EFB, the inherently high K limited mitigation: KOH(g) decreased ~25%, while K₂O(s) increased ~80%, evidencing partial capture but persistent high volatility. Overall, natural soil is a practical, locally available additive that can lower alkali volatilization by up to ~50% for RH and SD, thereby reducing slagging/corrosion risk in cofiring. High-K EFB will likely require higher dosages, fuel blending, or pre-treatments. The results provide quantitative guidance for additive selection and dosing to enhance operational reliability in biomass cofiring.
Electrochemical Performance of Modified Graphite Anode Materials for Lithium-Ion Batteries Eko Prasetya; William Abednego Pardede; Abdulloh Rifai; Muhammad Darma Raditya; Fawaidzdurahman Fawaidzdurahman; Yudi Hidayat
Journal of Mechanical Design and Testing Vol 8, No 1 (2026): Article in Press
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.121141

Abstract

This study investigates the pilot-scale synthesis and characterization of chemically modified graphite anodes for lithium-ion batteries (LIBs), using potassium hydroxide (KOH) etching to enhance surface properties and lithium storage capacity. The low-cost, scalable modification process led to increased interlayer spacing, as confirmed by X-ray diffraction (XRD), indicating successful structural transformation. Scanning electron microscopy (SEM) analysis revealed significant morphological changes with increased porosity, while Brunauer–Emmett–Teller (BET) surface analysis showed a substantial rise in specific surface area, from 10 m²/g to 80 m²/g, confirming the formation of porous structures. Thermogravimetric and Fourier-transform infrared spectroscopy (FTIR) analyses demonstrated high thermal stability and minimal surface functionalization, respectively. Electrochemical performance was evaluated using 18650 cylindrical cells with LiFePO₄ (LFP) cathodes. Batch 4 and 5 cells exhibited optimal N/P ratios of 1.2–1.3, achieving improved specific capacity and cycle stability. Among all batches, Batch 6 demonstrated the highest capacity retention and coulombic efficiency during rate performance testing. These results highlight the potential of KOH-modified graphite as a high-performance anode material and offer valuable insights into scalable production strategies for next-generation LIBs.
Computational Fluid Dynamic Analysis of Power Potential from Point Absorber Wave Energy Converters in Adipala and Pelabuhan Ratu Zharfan Ghafara Gunawan; Zaenal Abidin; William Abednego Pardede
Journal of Mechanical Design and Testing Vol 8, No 1 (2026): Article in Press
Publisher : Department of Mechanical and Industrial Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jmdt.121142

Abstract

Indonesia holds an estimated ocean wave energy potential of 17.9 GW. However, utilization remains critically low at only 0.3 MW, highlighting a significant gap between potential and deployment. This study investigates the technical feasibility of implementing point absorber-type wave energy converters (WECs) at two coastal coal-fired power plants (CFPPs) operated by PT PLN Indonesia Power: the Adipala CFPP and the Pelabuhan Ratu CFPP. A numerical simulation approach using computational fluid dynamics (CFD) was applied to assess two WEC types: swing and buoy, under site-specific wave conditions. Results show that Adipala possesses greater wave energy potential (3.17 kW/m) compared to Pelabuhan Ratu (1.1 kW/m). The buoy-type device consistently outperformed the swing type in both locations, generating average power outputs of 490.7 W and 357.1 W, respectively. The swing type yielded 119.7 W and 119.5 W. When scaled along the full 1,500-meter breakwater, the buoy-type system in Adipala offers an average power potential of 0.73 MW, peaking at 3 MW, indicating that Adipala offers superior deployment potential compared to Pelabuhan Ratu. These findings indicate strong prospects for small-scale wave energy deployment in Indonesia, especially when leveraging existing coastal infrastructure.

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