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All Journal Dinasti International Journal of Education Management and Social Science Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS)
Agus Purnomo
Universitas Logistik dan Bisnis Internasional, Bandung, Indonesia
Decision Sciences, Operations Research & Management Education Social Sciences

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Kapabilitas Dinamis sebagai Jembatan antara Customer Experience, Keunggulan Operasi dan Inovasi Logistik dalam Meningkatkan Kinerja Perusahaan: Bukti dari PT Pos Indonesia (Persero) Arif Yudha Wahyudi; Agus Purnomo; Erna Mulyati
Jurnal Manajemen Pendidikan dan Ilmu Sosial Vol. 6 No. 6 (2025): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Oktober-November 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v6i6.6161

Abstract

PT Pos Indonesia (Persero) Regional 3 Jawa Barat saat ini menghadapi tantangan dalam pencapaian target kinerja di tengah tuntutan pelanggan dan dinamika industri logistik. Penelitian ini bertujuan untuk menganalisis pengaruh Customer Experience, Operational Excellence, dan Innovation Logistics Capabilities terhadap kinerja perusahaan, dengan mempertimbangkan peran mediasi Dynamic Logistics Capabilities. Penelitian ini dapat mengisi celah empiris dalam kajian logistik nasional, khususnya pada perusahaan milik negara. Penelitian ini dilakukan dengan pendekatan kuantitatif melalui penyebaran kuesioner kepada 150 pelanggan logistik di 20 kota dan kabupaten di wilayah kerja Regional 3 Jawa Barat. Analisis data dilakukan dengan metode Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa secara langsung, Customer Experience berpengaruh signifikan terhadap kinerja perusahaan, namun tidak terhadap Dynamic Logistics Capabilities. Sebaliknya, Operational Excellence dan Innovation Logistics Capabilities berpengaruh positif terhadap Dynamic Logistics Capabilities, tetapi tidak secara langsung terhadap kinerja perusahaan. Secara tidak langsung, Operational Excellence dan Innovation Logistics Capabilities berpengaruh signifikan terhadap kinerja melalui mediasi Dynamic Logistics Capabilities, sedangkan Customer Experience tidak menunjukkan pengaruh yang signifikan. Penelitian ini menegaskan pentingnya penguatan kapabilitas logistik dinamis sebagai penghubung antara operational excellence dan inovasi logistik dalam mendorong kinerja perusahaan. Implikasi praktis dari penelitian ini memberikan wawasan bagi manajemen dalam merumuskan strategi peningkatan layanan dan inovasi logistik yang berkelanjutan.
Strategy to Improve Courier & Logistics Performance in the Enterprise Business Directorate through the Influence of Price and Service Quality on Competitive Advantage: Empirical Evidence from PT Pos Indonesia (Persero) Regional 3 Bandung Yogi Sudrajat; Saptono Kusdanu Waskito; Agus Purnomo
Dinasti International Journal of Education Management And Social Science Vol. 6 No. 4 (2025): Dinasti International Journal of Education Management and Social Science (April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v6i4.4291

Abstract

The logistics and courier service sector plays an important role in supporting economic growth, especially in the era of digitalization and e-commerce expansion. PT Pos Indonesia, as one of the main players in this industry, faces challenges in improving the performance of couriers and logistics in Regional 3 Bandung. This study is important to understand the factors that influence company competitiveness in orders to improve efficiency and customer satisfaction. This study aims to analyze the effect of price and service quality on competitive advantage, and its impact on company performance at PT Pos Indonesia Regional 3 Bandung. The research method used is quantitative with a descriptive and verification approach. Data were collected through questionnaires from 182 PT Pos Indonesia customers and analyzed using SMART PLS to test the relationship between variables. The results of the study indicate that price and service quality have a significant effect on competitive advantage, which in turn has a positive impact on company performance. In addition, price and service quality also directly affect company performance. This study contributes to understanding strategies for increasing competitiveness in the logistics sector. The implication is that PT Pos Indonesia needs to adjust prices to the promised service standards and increase responsiveness to customer needs in order to improve competitiveness and business performance.   Keyword: Price, Service Quality, Competitive Advantage, Company Performance, PT Pos Indonesia
Logistics Management Optimization through Machine Learning: A Predictive Model for Item Transfer Time in Warehouse Activity-Space Hendri Lasmana; Agus Purnomo; Erna Mulyati
Dinasti International Journal of Education Management And Social Science Vol. 6 No. 5 (2025): Dinasti International Journal of Education Management and Social Science (June
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v6i5.5083

Abstract

Operational efficiency in warehouse logistics relies heavily on accurately predicting item transfer time. This study presents a machine learning-based framework using Gradient Boosting Classifier to classify transfer durations in the dynamic Jakarta Centrum warehouse, managed by the Corruption Eradication Commission (KPK) and PosIND. Field observations revealed inefficiencies due to unstructured layouts and fluctuating volumes. To improve prediction accuracy, the model incorporates Z-score normalization, SMOTE for class balancing, and hyperparameter tuning using GridSearchCV and PSO. The optimized model successfully classified 258 High, 285 Low, and 277 Medium transfer-time instances. SHAP analysis identified distance, distribution volume, and throughput as key influencing factors. Results demonstrate the potential of predictive modeling to enhance warehouse operations through better space usage, workforce planning, and SLA compliance. This study supports machine learning as a strategic tool for data-driven logistics optimization, with future work recommended to include contextual variables like workforce capacity and shift schedules for improved precision and real-world applicability.
Integration of Machine Learning Models and Centralized Warehousing Strategy in Multichannel Book Distribution Optimization Ato Kusnandar; Agus Purnomo; Melia Eka Lestiani
Dinasti International Journal of Education Management And Social Science Vol. 7 No. 2 (2025): Dinasti International Journal of Education Management And Social Science (Decem
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i2.5294

Abstract

This study aims to optimize multichannel book distribution efficiency through the integration of machine learning–based demand forecasting and centralized warehouse strategy at PT Mizan Media Utama. Using three years of multichannel sales data from offline stores, marketplaces, resellers, and events, the research employs the XGBoost algorithm to predict monthly demand for selected book SKUs. The results demonstrate that XGBoost consistently outperforms conventional forecasting methods, achieving lower Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and higher R² values, indicating improved accuracy and reliability. Comparative analysis between actual sales in 2025 and forecasted results shows that XGBoost reduces average forecast error by 20–30% compared to traditional projection methods. These accurate predictions support more effective stock allocation within the centralized warehouse, minimizing overstock and stockout risks across sales channels. The findings confirm that integrating predictive analytics into distribution planning enhances operational efficiency, improves inventory control, and strengthens data-driven decision-making. This study contributes both theoretically and practically by demonstrating how machine learning can transform conventional supply chain management into a digitally integrated, responsive, and efficient system suited for the publishing and book distribution industry.
Co-Authors Arif Yudha Wahyudi Ato Kusnandar Erna Mulyati Hendri Lasmana Melia Eka Lestiani Saptono Kusdanu Waskito Yogi Sudrajat