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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 Cakrawala Repositori Imwi Jurnal Ilmu Manajemen Terapan (JIMT) Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Journal of Business, Social and Technology Eduvest - Journal of Universal Studies JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Land Journal Competitive Jurnal Elementaria Edukasia Siber Journal of Advanced Multidisciplinary Siber Journal of Transportation and Logistics
Agus Purnomo
Magister Manajemen Logistik, Universitas Logistik Dan Bisnis Internasional
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience 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): 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.
System Dynamics-Based Rice Procurement Strategy to Support Food Stability in Critical Periods Rizki Alifnur Harmawan; Erna Mulyati; Agus Purnomo
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.929

Abstract

Rice procurement strategies play a crucial role in ensuring supply availability and stabilizing prices in traditional markets, particularly during critical periods characterized by higher demand and limited supply. This study aims to implement a rice procurement method in traditional markets in Tangerang Regency, using system dynamics during critical periods. This study uses an AnyLogic-based simulation approach, utilizing secondary data on rice prices, stock availability, and rice demand sourced from the Tangerang Regency Food Information System and the Tangerang Regency Agriculture and Food Security Office. Simulations were conducted in four different scenarios: standard conditions in May 2025, the period after Eid al-Adha in July 2025, the dry season with decreased food distribution in September 2025, and the Christmas and New Year season in December 2025. The results show that the period after Eid al-Adha is the most critical scenario, with the largest stock deficit of 12,146 and the lowest service level of 89.88%. Based on simulation findings and risk assessments, a mixed procurement strategy emerged as the most effective option to ensure stock availability, mitigate the risk of supply deficits, and facilitate future rice price stability during critical times.
The Role of Logistics Service Quality in Mediating the Influence of Air Cargo Packaging, Digital Information, and Air Cargo Tariff on Logistics Customer Retention at Silkargo Cikarang Rahmad Ali Umar Dalimunthe; Melia Eka Lestiani; Agus Purnomo
Eduvest - Journal of Universal Studies Vol. 6 No. 5 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i5.52687

Abstract

This research aims to analyze the influence of air cargo packaging, digital information, and air cargo tariffs on logistics customer retention through logistics service quality at SIL Kargo Cikarang. The background of this research is based on the decline in air cargo revenue from 2021 to 2025, the increasing rate of goods damage, digital misinformation, and relatively higher shipping rates compared to competitors. The research employed a quantitative approach using a survey method involving 125 customers of SIL Kargo Cikarang. The data analysis technique used was Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results of the study show that air cargo packaging, digital information, and air cargo tariffs have a positive and significant effect on logistics service quality. Logistics service quality also has a positive and significant effect on logistics customer retention and is able to mediate the influence of the three exogenous variables on logistics customer retention. These findings confirm that improving logistics service quality is a key strategy in retaining customers in the competitive air cargo industry.
Peran Leadership Memoderasi Pengaruh Promosi, Kapasitas Digital Logistik, Perilaku Inovatif Karyawan Terhadap Kinerja Penjualan Meterai Tempel Risdayati Yati; Erna Mulyati; Agus Purnomo
Jurnal Ilmu Manajemen Terapan Vol. 7 No. 6 (2026): Jurnal Ilmu Manajemen Terapan (Juli - Agustus 2026)
Publisher : Dinasti Review Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jimt.v7i6.9385

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh Promosi, Kapasitas Digital Logistik, dan Perilaku Inovatif Karyawan terhadap Kinerja Penjualan dengan Kepemimpinan sebagai variabel moderasi. Penelitian ini menggunakan pendekatan kuantitatif dengan metode Partial Least Squares Structural Equation Modeling (PLS-SEM). Pengumpulan data dilakukan melalui kuesioner dari 129 responden yang merupakan karyawan PT Pos Indonesia KCU Bandarlampung. Hasil analisis outer model menunjukkan bahwa semua variabel penelitian dinyatakan valid dan reliabel. Hasil analisis inner model menunjukkan bahwa model penelitian yang digunakan memiliki kemampuan penjelasan yang sangat baik (nilai R2 = 0,805) dan kemampuan prediksi yang kuat (nilai Q2 = 0,585). Variabel dengan pengaruh terbesar adalah kapasitas logistik digital (nilai f-Square = 0,239), yang memenuhi kriteria pengaruh sedang. Hasil uji hipotesis menunjukkan bahwa variabel promosi, kapasitas digital logistik, perilaku inovatif karyawan, dan kepemimpinan memiliki pengaruh positif dan signifikan secara statistik terhadap kinerja penjualan (nilai P < 0,05, dan nilai T-Statistik > 1,9). Di sisi lain, variabel kepemimpinan tidak memoderasi pengaruh promosi, kapasitas logistik digital, dan perilaku inovatif karyawan terhadap kinerja penjualan (nilai P > 0,05, dan nilai statistik T < 1,9).
Fleksibilitas Operasional Sebagai Variabel Mediasi Dalam Ketidakpastian Permintaan, Sistem Pengemasan Manual, Dan Kompetensi Sumber Daya Manusia Terhadap Ketahanan Rantai Pasok Ni Putu Nita Astri Lestari; Agus Purnomo; Melia Eka Lestiani
Cakrawala Repositori IMWI 298-309
Publisher : Institut Manajemen Wiyata Indonesia & Asosiasi Peneliti Manajemen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh ketidakpastian permintaan, sistem pengemasan manual, dan kompetensi sumber daya manusia terhadap ketahanan rantai pasok dengan fleksibilitas operasional sebagai variabel mediasi. Penelitian menggunakan pendekatan kuantitatif dengan metode explanatory survey terhadap 110 responden di PT Songgolangit Persada. Analisis data dilakukan menggunakan Structural Equation Modeling-Partial Least Square (SEM-PLS). Hasil penelitian menunjukkan bahwa ketidakpastian permintaan berpengaruh positif dan signifikan terhadap fleksibilitas operasional (p-value = 0,000), namun tidak berpengaruh signifikan terhadap ketahanan rantai pasok (p-value = 0,758). Sistem pengemasan manual berpengaruh positif dan signifikan terhadap fleksibilitas operasional (p-value = 0,000), tetapi tidak berpengaruh signifikan terhadap ketahanan rantai pasok (p-value = 0,097). Kompetensi sumber daya manusia berpengaruh positif dan signifikan terhadap fleksibilitas operasional (p-value = 0,009) dan ketahanan rantai pasok (p-value = 0,003). Fleksibilitas operasional juga berpengaruh positif dan signifikan terhadap ketahanan rantai pasok (p-value = 0,000). Selain itu fleksibilitas operasional terbukti mampu memediasi pengaruh ketidakpastian permintaan, sistem pengemasan manual, dan kompetensi sumber daya manusia terhadap ketahanan rantai pasok dengan nilai p-value masing-masing sebesar 0,002; 0,005; dan 0,023. Penelitian ini menunjukkan bahwa fleksibilitas operasional menjadi faktor penting dalam meningkatkan ketahanan rantai pasok perusahaan.
MDI and PI XGBoost regression-based methods: regional best pricing prediction for logistics services Agus Purnomo; Aji Gautama Putrada; Roni Habibi; Syafrianita Syafrianita
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 5: October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i5.26037

Abstract

The logistics industry in Indonesia, with PT Pos Indonesia as the dominant player, is confronted with intense price competition. The challenge lies in establishing the most favorable price for regional logistics services in every region, with the aim of gaining a competitive edge and augmenting revenue. This intricate task encompasses local market conditions, competition, customer preferences, operational costs, and economic factors. To address this complexity, this study proposes the utilization of machine learning for price prediction. The price prediction model devised incorporates the extreme gradient boosting regression (XGBR), support vector machine (SVM), random forest, and logistics regression algorithms. This research contributes to the field by employing mean decrease in impurity (MDI) and permutation importance (PI) to elucidate how machine learning models facilitate optimal price predictions. The findings of this study can assist company management in enhancing their comprehension of how to make informed pricing decisions. The test results demonstrate values of 0.001, 0.005, 0.458, 0.009, and 0.9998. By employing machine learning techniques and explanatory models, PT Pos Indonesia can more accurately determine optimal prices in each region, bolster profits, and effectively compete in the expanding regional market.
Influence The Use of Blind Van Type Electric Cars Operational Energy Costs and Costs Maintenance Vehicle through Efficiency Cost Operations at PT. Dapensi Dwikarya Egana Dwi Saparingga; Melia Eka Lestiani; Agus Purnomo; Agus Purnomo
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 2 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18725694

Abstract

The transition toward electric vehicles has encouraged logistics companies to empirically evaluate operational cost efficiency as part of sustainable transportation strategies. This study aims to analyze the effect of using electric blind vans on energy operational costs and vehicle maintenance costs through operational cost efficiency at PT. Dapensi Dwikarya, a logistics company operating in Indonesia. This research employs a quantitative explanatory approach using a survey method to examine the causal relationships among variables. Data were collected through structured questionnaires measured on a seven-point Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The analysis involves four main constructs: the use of electric blind vans, operational cost efficiency, energy operational costs, and vehicle maintenance costs. The results indicate that the use of electric blind vans has a positive and significant effect on operational cost efficiency. Furthermore, operational cost efficiency significantly affects both energy operational costs and vehicle maintenance costs. The findings also show that operational cost efficiency mediates the relationship between the use of electric blind vans and operational costs. Specifically, operational cost efficiency partially mediates the effect of electric blind van usage on energy operational costs and fully mediates its effect on vehicle maintenance costs. These results suggest that the economic benefits of adopting electric vehicles in logistics operations depend not only on vehicle technology but also on effective operational cost management to achieve long-term cost efficiency
Membangun Kepercayaan pada Perusahaan Kurir: Peran Logistik Etis, Transparansi Logistik, dan Tata Kelola Platform pada Kepercayaan dalam Logistik Melalui Kualitas Layanan Logistik Rizkyah Rizkyah; Agus Purnomo; Melia Eka Setiani
Jurnal Ilmu Manajemen Terapan Vol. 7 No. 3 (2026): Jurnal Ilmu Manajemen Terapan (Januari - Februari 2026)
Publisher : Dinasti Review Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jimt.v7i3.7856

Abstract

Pesatnya pertumbuhan layanan kurir berbasis platform digital meningkatkan kebutuhan untuk membangun kepercayaan pelanggan yang tidak hanya bergantung pada efisiensi operasional, tetapi juga pada nilai-nilai etis, transparansi informasi, dan tata kelola platform. Penelitian ini bertujuan untuk menganalisis pengaruh logistik etis, transparansi logistik, dan tata kelola platform terhadap kepercayaan terhadap logistik dengan kualitas layanan logistik sebagai variabel mediasi. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap 106 pengguna jasa kurir digital di Indonesia. Analisis data dilakukan dengan menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa logistik etis, transparansi logistik, dan tata kelola platform memiliki efek positif dan signifikan terhadap kualitas layanan logistik. Selain itu, kualitas layanan logistik secara signifikan mempengaruhi kepercayaan pada logistik dan memediasi hubungan antara variabel independen dan kepercayaan. Model ini menjelaskan 77,5% dari variasi dalam kualitas layanan logistik dan 68,3% dalam kepercayaan, menunjukkan kekuatan penjelasan yang kuat. Temuan ini menegaskan bahwa kepercayaan pelanggan terhadap layanan kurir berbasis platform terbentuk melalui kualitas layanan yang dipengaruhi oleh praktik etis, transparansi, dan tata kelola platform yang efektif.
Co-Authors Agil Prasetyo Agus Purnomo Agus Purwantoro Aji Gautama Putrada Arief Ilman Yusra Arif Yudha Wahyudi Ato Kusnandar Bambang Lukmanul Hakim Dani Ramdani, Dani Dhinda Rezta Adha Dodi Hariyanto Egana Dwi Saparingga Erna Mulyati Erna Mulyati Erna Mulyati Erna Mulyati Erna Mulyati Fachmi Rachmat Chaidar, Diar Feri Rikardo Sihombing 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 Maniah, Maniah 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 Mustafia Mustafia* Nava Gia Ginasta Ni Putu Nita Astri Lestari Nia Angriany Pardede Putri Mety Zalynda Rahmad Ali Umar Dalimunthe Ramadhan Surya Dinata Risdayati Yati Rizki Alifnur Harmawan Rizkyah Rizkyah Roni Habibi Saptono Kusdanu Waskito Sudrajat, Yogi Sutarman Sutarman Syafrial Fachri Pane Syafrianita Syafrianita Syifa Salsabila Yayuk Dwi Indriani Yogi Sudrajat