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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Consumer Science JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Dinasti International Journal of Management Science Dinasti International Journal of Education Management and Social Science Al-Kharaj: Journal of Islamic Economic and Business Cakrawala Repositori Imwi Jurnal Ilmu Manajemen Terapan (JIMT) Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Locus Penelitian dan Pengabdian Journal of Business, Social and Technology Eduvest - Journal of Universal Studies JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Land Journal Competitive RESLAJ: Religion Education Social Laa Roiba Journal Jurnal Elementaria Edukasia Siber Journal of Advanced Multidisciplinary Siber Journal of Transportation and Logistics Warta Penelitian Perhubungan
Agus Purnomo
Magister Manajemen Logistik, Universitas Logistik Dan Bisnis Internasional
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Journal : siber journal of advanced multidisciplinary

 1 
Analysis of Aircraft Spare Parts Supply Chain Networks Using Machine Learning for Detecting Delivery Delay Patterns in Repair Processes Dhinda Rezta Adha; Agus Purnomo; Maniah Maniah
Siber Journal of Advanced Multidisciplinary Vol. 4 No. 1 (2026): (SJAM) Siber Journal of Advanced Multidisciplinary (April - June 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v4i1.695

Abstract

The aircraft spare parts supply chain is highly complex and vulnerable to delivery delays that may trigger Aircraft on Ground (AOG) conditions and increase operational costs. This study aims to analyze the characteristics of the aircraft spare parts supply network and to model delivery delay patterns in the repair process using a data-driven machine learning approach. The dataset consists of 4,962 shipment records with variables including delivery status (on-time/delay), ship vendor, origin point, destination point, lead time, and lead time category. Three classification algorithms, namely Decision Tree, Random Forest, and Logistic Regression, are applied to build and compare delay prediction models. The research stages comprise data preprocessing, splitting data into training and testing sets, model development, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The results indicate that operational variables in the supply chain significantly influence delivery status and that the Random Forest model provides the best performance in capturing complex and non-linear delay patterns. These findings offer a basis for developing predictive decision support systems to mitigate delivery risks and enhance the reliability of Maintenance, Repair, and Overhaul (MRO) processes in the aviation industry.
Co-Authors Abad Kartika Dwi Putra Afiat Juli Hadir Santoso Agil Prasetyo Agus Purnomo Agus Purwantoro Aji Gautama Putrada Amanda Aryanti Andi Bintang Annette Anggraeny Sihombing Arief Ilman Yusra Arif Yudha Wahyudi Arumdita Dian Kusumawati Arwin Taqwim Arzan Muharom Ato Kusnandar Aulia Arham Bambang Lukmanul Hakim Dani Ramdani, Dani Dhinda Rezta Adha Dicky Anggriawan Dodi Hariyanto Dominius Harmoko Pandiangan Egana Dwi Saparingga Erna Mulyati Erna Mulyati Erna Mulyati Erna Mulyati Erna Mulyati Fachmi Rachmat Chaidar, Diar Fajar Febrianto Catur Prasetiyo Feri Rikardo Sihombing Fikri Auliya Pangestu Gemmi Puspa Wijayanti Irianto Gunawan, Andri Handoko, Kokoh Hariadi Ismail Hendri Lasmana Ibnu Burliyan Imam Budiharto Iqbal Fahmi Irdhatullah Irdhatullah Isnian Adiwijaya Lasmana, Hendri M. Yogi Riyantama Isjoni Maniah Maniah Maniah Maniah Maniah Maniah Maniah Maniah Maniah Melia Eka Lestani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Lestiani Melia Eka Setiani Mohamed Ibrahim Abdul Mutalib Muhamad Faisal Nasrudin Muhammad Ardhya Bisma Mujiyono Mujiyono Mustafia Mustafia* Nava Gia Ginasta Ni Putu Nita Astri Lestari Nia Angriany Pardede Putri Mety Zalynda Rahmad Ali Umar Dalimunthe Ramadhan Surya Dinata Ridwan Pamunti Sikombong Risdayati Yati Rizki Alifnur Harmawan Rizkyah Rizkyah Roni Habibi Saptono Kusdanu Waskito Sudrajat, Yogi Sutarman Syafrial Fachri Pane Syafrianita Syafrianita Syafrianita Syafrianita Syifa Salsabila Yayuk Dwi Indriani Yogi Sudrajat