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All Journal Jurnal Rekayasa Sistem Industri The Indonesian Journal of Occupational Safety and Health IJOCE (International Journal of Offshore and Coastal Engineering) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering
Adhitya Ryan Ramadhani
Department Of Mechanical Engineering, Universitas Pertamina
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Other

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High Blow-By Pressure Failure Quantification of Doosan Excavator DX300LCA Using Bayesian Network Abdul Maajid Al Banna; Adhitya Ryan Ramadhani
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 3 (2023): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v5i3.282

Abstract

Various types of failure are likely to occur in heavy equipment operating in the mining sector, such as high blow-by pressure. The impact of this failure is a loss of engine power so that the unit cannot be used. This has the potential for work accidents to occur because the unit stops operating in a hazardous area. Therefore, the factors and dependencies that influence the occurrence of high blow by pressure will be discussed using the Fault Tree Analysis method and then the results will be used in the Bayesian Network method to do failure quantification. Meanwhile, the probability of high blow-by pressure occurring has a value of 0.0049 with the main cause being failure to compress the air with a sensitivity value of 80%. These results require companies to focus preventive maintenance activities on the engine combustion chamber to prevent similar things from happening. Beragam jenis kegagalan sangat mungkin terjadi pada alat berat yang beroperasi di sektor tambang, seperti high blow-by pressure. Dampak dari kegagalan ini ialah hilangnya tenaga mesin sehingga unit tidak dapat digunakan. Hal tersebut berpotensi untuk terjadinya kecelakaan kerja karena unit berhenti beroperasi di hazardous area. Maka dari itu, faktor-faktor yang mempengaruhi terjadinya high blow by pressure dan keterkaitannya akan dibahas menggunakan metode Fault Tree Analysis yang kemudian hasilnya akan digunakan pada metode Bayesian Network untuk dilakukan kuantifikasi kegagalan. Adapun, probabilitas terjadinya high blow-by preessure ini memiliki nilai sebesar 0,0049 dengan penyebab utama karena adanya kegagalan dalam mengompresi udara dengan nilai sensitivitas sebesar 80%. Hal tersebut mengharuskan perusahaan untuk memfokuskan kegiatan preventive maintenance pada ruang bakar mesin untuk mencegah hal serupa terjadi.
Pelatihan Pembuatan Dye-Sensitized Solar Cell (DSSC) Sederhana untuk Siswa SMA Islam Nurul Fikri Yulia, Fayza; Pradanawati, Sylvia Ayu; Hastuty, Sri; Kadarno, Purwo; Rahmawan, Yudi; Fachmi, Yose; Jaya, Arie Sukma; Riyandwita, Byan Wahyu; Widiyati, Khusnun; Barrinaya, Muhammad Akbar; Ramadhani, Adhitya Ryan; Muharram, Farid
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 8, No 1 (2024): Mei
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2024.v8i1.4869

Abstract

Energi baru terbarukan berkembang pesat seiring dengan peningkatan pemberdayaan energi baru terbarukan. Sebagai salah satu upaya pemenuhan 100% elektrifikasi di Indonesia, berbagai jenis sumber daya baru terbarukan dikelola untuk menghasilkan listrik. Di Indonesia, potensi energi matahari sangat besar. Solar panel, ke depannya menjadi salah satu alat konversi energi yang banyak dikembangkan di Indonesia. Solar panel generasi ketiga yang sedang banyak dikembangkan adalah Dye-Sensitized Solar Cell (DSSC) di mana menggunakan pewarna alami sebagai dye. SMA Nurul Fikri, Depok dipilih karena pengembangan metode konstruktif pengalaman belajar yang diadopsi pada kurikulum mereka. Dari hasil pelatihan, 100% peserta mampu membuat DSSC sederhana. Selain itu, telah terjadi peningkatan pengetahuan yang ditunjukkan dengan peningkatan persentase jumlah siswa yang mengetahui proses DSSC berdasarkan hasil pre-test dan post-test.
Estimasi Keandalan Sistem Mekanikal Dependen Menggunakan Fungsi Copula Ramadhani, Adhitya Ryan; Pranowo, Waskito
Jurnal Rekayasa Sistem Industri Vol. 13 No. 2 (2024): Vol. 13 No. 2 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i2.7219.103-112

Abstract

This paper addresses the challenge of assessing the reliability of complex mechanical systems where components are inherently correlated in their failure modes. Traditionally, the assumption of independence among these components has been employed, but it often fails to capture the real-world complexities. To overcome this limitation, copula functions are introduced as a robust methodology for modeling the dependent relationships between correlated variables within mechanical systems. This paper aims to demonstrate the utility of copulas in estimating system reliability while accounting for these dependencies. The results reveal that the Clayton copula emerges as the most suitable model for representing dependence in such systems. Importantly, the reliability estimates obtained through copula-based methods not only reflect the complex interdependencies accurately but also align with the principles of the boundary theory of reliability. This research underscores the potential of copula-based reliability estimation as a valuable alternative, offering a more comprehensive and precise assessment of reliability in complex mechanical systems and holding significant promise for practical engineering applications. This framework allows the consideration of dependence among the observed variables that is usually overlooked in engineering practice.
Quantitative Risk Assessment of Hydrotreated Vegetable Oil at an Oil and Gas Company Tjahjono, Muhammad Iman Tsalatsa Raihan; Ramadhani, Adhitya Ryan
The Indonesian Journal of Occupational Safety and Health Vol. 13 No. 3 (2024): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v13i3.2024.322-333

Abstract

Introduction: An oil and gas refinery operates various equipment with specific functions for different processes. Each piece of equipment has potential hazards that can damage the equipment and injure or kill workers. This study focuses on the hydrotreated vegetable oil (HVO) export facility from the jetty loading area at an oil and gas company that processes flammable liquid using various equipment. Methods: The HAZOP method determined the hazardous spots, and the probability of each equipment failure corresponding to the system was also determined using fault tree analysis (FTA). Furthermore, every event tree analysis (ETA) output probability was also determined. The probability and radius of pool fire varied for different leak hole scenarios. The final steps are individual risk per annum and potential loss of life to measure the risk level of the system. Results: Based on HAZOP deviation scenarios, every operating equipment can potentially cause a pool fire. In FTA, scenarios were developed based on different leakage hole sizes, ranging from 1-3 mm, 3-10 mm, 10-50 mm, 150 mm, and >150 mm. The results indicated that leakage could occur across all operating equipment. Similarly, the ETA applied the same bore size scenarios. The consequence analysis yielded a worst-case outcome of pool fire and a best-case outcome of un-ignited fluid release. Subsequently, the pool fire output was modeled using ALOHA, which resulted in three heat flux zones: the red zone (10 kW/m²), the orange zone (5 kW/m²), and the yellow zone (2 kW/m²). Smaller leak holes had a higher probability but smaller pool fire radius. The initial risk of the export facility was unacceptable. Furthermore, insufficient safeguards contribute significantly to the resulting high-risk level. Two mitigations were implemented: adding safeguards and reducing worker hours. Conclusion: The final results showed that for every piece of equipment, the overall risk of the export facility became acceptable after mitigation..
Analysis of Fire and Explosion Consequences in Accidents Involving Premium Gasoline Tanker Trucks Ridwan, Mochamad Maulana; Ramadhani, Adhitya Ryan
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 6 No 1 (2024): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v6i1.284

Abstract

A series of accidents frequently occur in the fuel transport process in Indonesia, resulting in explosive incidents. This study explores the implications of fires and explosions in Premium Fuel tanker truck accidents in Bintaro Permai, focusing on identifying hazard zones and the extent of possible damage. The aim is to map the hazard zones and assess the potential level of damage due to fire and explosion of Premium fuel tanker trucks in the area. Quantitative methods were used with pool fire modelling and the TNT (Trinitrotoluene) method. This study showed that the pool fire modelling found the highest heat flux value in the pool with a pool diameter of 20 m and a distance to the receptor of 11 m, with a value of 14.85 kW/m2. Meanwhile, in modelling the explosion using the TNT Method, an overpressure value of 175.75 kPa was found for a volume of 20,000 L and a distance of 50 m.
Human Reliability Assessment (HRA) of Fire and Explosion Cases at Fuel Filling Stations (SPBU) Tananta, Naufal Nizaar Halim; Ramadhani, Adhitya Ryan
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 6 No 1 (2024): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v6i1.285

Abstract

Filling Stations are public facilities provided by fuel distributors for the fuel needs of the broader community that have serious potential risks, such as fires and explosions that human actions or systems can cause. This research aims to identify the causes of these errors, evaluate their likelihood, and provide recommendations to reduce them. This paper incorporated Fault Tree Analysis (FTA) and the Success Likelihood Index Method (SLIM). Data analysis identifies 16 basic events from 3 aspects: human, technical, and management, focusing on FTA. Notably, SLIM highlights error mode 3 (0.0392 probability) as the most critical, while error mode 4 is the least significant (0.000234). These methods provide recommendations to minimize human error, including training, Application of SOPs, incident report submission system, supporting technology, supervision, regular inspections, and audits.
Fire and Explosion Modelling of A Gas Transmission Pipeline in A Populated Residential Area Ramadhani, Adhitya Ryan; Halfan, Ahmad
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 6 No 2 (2024): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v6i2.327

Abstract

Several oil and gas distribution pipeline routes pass through a highly populated residential area. Risk assessment based on consequence analysis is being considered to determine the level of danger to improve safety. This paper focuses on modeling the consequences of gas transmission pipeline leakage by reviewing the impact of explosions and fires. The TNT method and fireball modeling determined the overpressure and heat-flux at each radius. Variations of release volume, radius, and pressure were conducted to obtain heat-flux and overpressure values in several event scenarios. Sensitivity analysis using numerical analysis was conducted to determine the most influential parameters. It was found that the radius of the accident point is the main factor affecting the resulting impact, with a contribution of 86.1% for the fire scenario and 64.5% for the explosion scenario. The explosion and fire modeling results show that the safe zone from the accident point is at a radius of more than 500 meters.
A Comparative Study of Human Reliability Assessment using Success Likelihood Index Method (SLIM) and Human Error Assessment & Reduction Technique (HEART): A case study from a Boeing 737 Max Accident Ramdhan, M Zaki; Rizq, Daffa Abyan; Senna, Ayrton; Ramadhani, Adhitya Ryan
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.431

Abstract

The accurate assessment of Human Error Probability (HEP) is crucial for aviation safety, especially in complex systems such as the Manoeuvring Characteristics Augmentation System (MCAS). This study compares two widely used human reliability analysis methods, HEART (Human Error Assessment and Reduction Technique) and SLIM (Success Likelihood Index Method), to evaluate their effectiveness in identifying and quantifying MCAS-related human errors. The results indicate that HEART is highly sensitive to human and organizational factors, as in Error Mode 5, where the calculated HEP is 0.164. In contrast, SLIM focuses more on system design and interaction reliability, yielding a significantly lower HEP of 0.0049. The comparative analysis highlights the strengths and limitations of each method, suggesting that a hybrid approach could improve the accuracy of human error assessments in aviation, leading to more effective risk mitigation strategies.
Peningkatan Literasi Teknologi Robotika melalui Pengenalan dan Perakitan Robot Pengikut Garis di SMAK Tunas Bangsa Gading Serpong Jaya, Arie Sukma; Hastuty, Sri; Ramadhani, Adhitya Ryan; Barrinaya, Muhammad Akbar; Rahmawan, Yudi; Widiyati, Khusnun; Kadarno, Purwo; Riyandwita, Byan Wahyu; Pradanawati, Sylvia Ayu; Buys, Yose Fachmi; Yulia, Fayza; Reksowardojo, Iman Kartolaksono; Aziz, Bonifacius S.I.; Tambunan, Sahrudin
Abdimas Galuh Vol 7, No 2 (2025): September 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i2.20693

Abstract

Perkembangan teknologi robotika memberikan peluang besar untuk memperkaya proses pembelajaran di tingkat sekolah menengah, khususnya dalam penguatan keterampilan abad ke-21. Namun, minimnya akses terhadap pengalaman praktik membuat siswa kesulitan memahami konsep robotika secara aplikatif. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mengenalkan konsep dasar robotika industri kepada siswa SMAK Tunas Bangsa Gading Serpong melalui praktik langsung dalam merakit dan menguji robot pengikut garis (line follower). Metode pelaksanaan kegiatan dibagi menjadi tiga tahap, yaitu persiapan, pelaksanaan, dan evaluasi, yang secara implisit mengikuti tahapan dalam model pengembangan instruksional ADDIE (Analysis, Design, Development, Implementation, Evaluation). Peserta dibimbing dalam perakitan tiga jenis robot: Analog A, Analog B, dan Digital. Evaluasi dilakukan melalui survei pre-test dan post-test, pengujian performa robot, serta kuesioner kepuasan peserta. Hasil menunjukkan adanya peningkatan rata-rata pemahaman dari 68,15% menjadi 84%. Peningkatan paling signifikan terlihat pada aspek teknis seperti pengenalan sensor dan penggunaan perangkat lunak Arduino IDE. Dari segi performa, robot Analog A memiliki waktu tempuh tercepat (18,70 detik) dan konsumsi daya terendah (0,64%), sedangkan robot Digital lebih kompleks namun belum optimal dalam lintasan uji terbatas. Survei kepuasan menunjukkan 98% peserta merasa puas terhadap kegiatan. Kegiatan ini terbukti efektif dalam meningkatkan literasi teknologi dan memberikan pengalaman belajar berbasis praktik yang bermakna, serta relevan dalam mendukung implementasi SDGs poin 4 tentang pendidikan berkualitas.
Bivariate Archimedean Copulas to Solve Complex Dependency in Marine Engineering Problems Ramadhani, Adhitya Ryan; Pranowo, Waskito
International Journal of Offshore and Coastal Engineering (IJOCE) Vol 7, No 2 (2023)
Publisher : Pusat Publikasi Ilmiah Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25800914.v7i2.19334

Abstract

Climate change has made offshore installations suffer severe consequences from extreme marine hazards. These offshore installations were designed to withstand extreme natural hazards. Marine natural hazards commonly occur interdependently. Thus, a multivariate model to capture this complex dependence structure is necessary. Practically, modelling marine natural hazards is usually assumed to be mutually independent or correlated by a multivariate Gaussian distribution. However, this biased assumption is not relevant to capture the real dependence structure between marine parameters. Copula functions are used to model the complex dependence structure between marine parameters. A simplified case study is selected to illustrate the modelling between wave height and wind speed. Results are compared with the traditional joint probability approach to demonstrate the advantage of copula functions. The use of copula functions provides a better result to model any complex dependence structure between correlated variables.
Co-Authors Abdul Maajid Al Banna Aziz, Bonifacius S.I. Barrinaya, Muhammad Akbar Buys, Yose Fachmi Halfan, Ahmad Hanem, Fairuz Putra Iman Kartolaksono Reksowardojo Jaya, Arie Sukma Kadarno, Purwo Muharram, Farid Pranowo, Waskito Rahmawan, Yudi Ramdhan, M Zaki Ridwan, Mochamad Maulana Riyandwita, Byan Wahyu Rizq, Daffa Abyan Senna, Ayrton Sri Hastuty, Sri Sylvia Ayu Pradanawati Tambunan, Sahrudin Tananta, Naufal Nizaar Halim Tjahjono, Muhammad Iman Tsalatsa Raihan Waskito Pranowo Widiyati, Khusnun Yose Fachmi Buys Yulia, Fayza