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All Journal Jurnal Teknik Jurnal E-Komtek Jurnal Pengabdian Masyarakat Akademisi eProceedings of Engineering
Noor Qisthani, Nabila
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Journal : Jurnal E-Komtek

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Towards Predictive Fatigue Management: A Blockchain-Enabled IoT Framework for Driver Safety in Logistics Miftahol Arifin; Noor Qisthani, Nabila; Titan Syifa, Fikra; Ananda Raharja, Pradana; Fanny, Dimas; Faizah, Faizah
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2165

Abstract

Driver fatigue is a critical issue in the logistics industry, contributing significantly to accidents and operational inefficiencies. The system utilizes IoT devices, including physiological and vehicular sensors, to monitor real-time data, such as Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Acceleration Variance (AV). Blockchain integration ensures secure, immutable data storage and transparency, with smart contracts automating fatigue alerts and management actions. The research results show that HRV increased from 50 ms to 70 ms, reflecting better stress recovery, while AV decreased from 0.85 m/s² to 0.45 m/s², indicating more stable driving behavior. Fatigue alerts dropped by 60%, from 25 to 10 alerts per observation period, demonstrating the system’s effectiveness in early fatigue detection and prevention. The study concludes that the IoT-blockchain integration provides a robust, scalable solution for mitigating fatigue-related risks, enhancing driver safety, and fostering operational efficiency in the logistics sector.
Warehouse Re-Layout for a Third-Party Logistics Provider Based on Shipping Patterns Using the Apriori Algorithm Hidayatuloh, Syarif; Br Tarigan, Jenni; Noor Qisthani, Nabila
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2899

Abstract

Warehouse operations face challenges that affect efficiency. PT ABC, a third-party logistics provider, has been experiencing these issues due to an unstructured warehouse layout. It leads to inefficient movement and delayed deliveries. This study aims to re-design the warehouse layout of PT ABC based on shipping patterns using the apriori algorithm. Shipment data from January to June 2024 was analyzed using the apriori algorithm with a minimum support of 30% and a confidence level of 50% to find frequently shipped item combinations. One of the strong associations found was between "Mechanical Components" and "Spare Parts," with a lift value of 1.68. Based on the results, a proposed layout was developed by considering both the FSN (Fast, Slow, Non-moving) classification and apriori findings. The effectiveness of the new layout was evaluated using rectilinear distance calculations, which showed a reduction in total item movement distance from 45,952 meters to 44,343 meters.
Co-Authors Aswan Munang Br Tarigan, Jenni Dian Novitasari Faizah Faizah Fanny, Dimas Fikra Titan Syifa Hidaytuloh, Syarif Miftahol Arifin MIFTAHOL ARIFIN, MIFTAHOL Nurul Fikri, Dhenaf Pradana Ananda Raharja Putri Dianti, Verra Ransi Fathiya, Alya Sahl Nur Azfa, Muhammad Sani Rahman, Rizal Syarif Hidayatuloh Tri Nur Hilmawan, Rizky Uswatun Kasanah, Yulinda Windu Arini, Ratih