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All Journal Jurnal Rekayasa Sistem Industri Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering
Ramadhani, Adhitya Ryan
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 1 
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.
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.
Co-Authors Aziz, Bonifacius S.I. Barrinaya, Muhammad Akbar Buys, Yose Fachmi Halfan, Ahmad Iman Kartolaksono Reksowardojo Jaya, Arie Sukma Kadarno, Purwo 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 Waskito Pranowo Widiyati, Khusnun Yulia, Fayza