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All Journal Journal of Consumer Science JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Dinasti International Journal of Management Science Dinasti International Journal of Education Management and Social Science Jurnal Ilmu Manajemen Terapan (JIMT) Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Land Journal Competitive Jurnal Elementaria Edukasia Siber Journal of Advanced Multidisciplinary
Agus Purnomo
Magister Manajemen Logistik, Universitas Logistik Dan Bisnis Internasional
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Transportation Other

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Optimization Disaster Logistics by Determining the Optimal Location and Number of Evacuation Centers Syafrianita Syafrianita; Agus Purnomo; Mohamed Ibrahim Abdul Mutalib
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1627

Abstract

Indonesia, particularly Bandung Regency, faces significant flood risks that disrupt livelihoods and damage infrastructure. This study identifies the optimal locations and number of evacuation centers using the Set Covering Problem (SCP) model, integrating geographic data, population density, accessibility, and infrastructure capacity. The study applied constraints including a 1,000-meter maximum service distance, minimum road width of 6 meters for Class IIIB and IIIC access, shelter capacity limits, and full coverage of demand points. Using ArcGIS 10.2.1, candidate locations were evaluated by overlaying flood vulnerability maps with accessibility and facility data. Environmental sustainability was addressed by selecting sites with minimal ecological disruption, avoiding sensitive zones, and reusing existing structures to reduce land conversion. Results show that five centralized shelters in high-density, well-connected areas can cut evacuation travel time by up to 20% compared to dispersed locations. This integrated approach improves response efficiency, ensures access for vulnerable populations, and supports sustainable site planning. The findings contribute to disaster logistics theory and offer practical, replicable guidance for policy in other flood-prone regions.
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.
Pengaruh Manajemen Logistik dan Kompetensi Sumber Daya Manusia terhadap Loyalitas Pelanggan Melalui Kinerja Logistik (Studi pada PT Pos Indonesia Kantor Cabang Kendal) Imam Budiharto; Agus Purnomo; Erna Mulyati
Jurnal Ilmu Manajemen Terapan Vol. 7 No. 4 (2026): Jurnal Ilmu Manajemen Terapan (Maret - April 2026)
Publisher : Dinasti Review Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jimt.v7i4.8223

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh manajemen logistik dan kompetensi sumber daya manusia terhadap loyalitas pelanggan melalui kinerja logistik pada PT Pos Indonesia Kantor Cabang Kendal. Penelitian menggunakan pendekatan kuantitatif dengan metode survei melalui penyebaran kuesioner kepada pelanggan. Analisis data dilakukan menggunakan metode Structural Equation Modeling berbasis Partial Least Square (SEM-PLS). Hasil penelitian menunjukkan bahwa manajemen logistik dan kompetensi sumber daya manusia berpengaruh positif dan signifikan terhadap kinerja logistik. Selanjutnya, kinerja logistik berpengaruh positif dan signifikan terhadap loyalitas pelanggan. Selain itu, manajemen logistik dan kompetensi sumber daya manusia juga berpengaruh terhadap loyalitas pelanggan baik secara langsung maupun tidak langsung melalui kinerja logistik sebagai variabel mediasi. Temuan ini menunjukkan bahwa peningkatan pengelolaan logistik dan kompetensi sumber daya manusia dapat meningkatkan kinerja logistik serta memperkuat loyalitas pelanggan.
Co-Authors Agil Prasetyo Arif Yudha Wahyudi Ato Kusnandar Dani Ramdani, Dani Dhinda Rezta Adha Erna Mulyati Erna Mulyati Erna Mulyati Fachmi Rachmat Chaidar, Diar Gemmi Puspa Wijayanti Irianto Gunawan, Andri Handoko, Kokoh Hariadi Ismail Hendri Lasmana Imam Budiharto Kurniawan, Angga Tri Hanggara Lasmana, Hendri M. Yogi Riyantama Isjoni Maniah Maniah Maniah, Maniah Melia Eka Lestiani Melia Eka Lestiani Melia Eka Setiani Mohamed Ibrahim Abdul Mutalib Muhamad Faisal Nasrudin Muhammad Ardhya Bisma Mustafia Mustafia* Nava Gia Ginasta Putri Mety Zalynda Ramadhan Surya Dinata Saptono Kusdanu Waskito Sudrajat, Yogi Sutarman Sutarman Syafrial Fachri Pane Syafrianita Syafrianita Syifa Salsabila Yayuk Dwi Indriani Yogi Sudrajat