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All Journal Journal of Consumer Science Dinasti International Journal of Management Science Dinasti International Journal of Education Management and Social Science 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
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 Industrial & Manufacturing Engineering Social Sciences Transportation Other

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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.
The Effect of Green Logistics Practices, Digital Order Tracking Transparency, and Transportation on Last Mile Delivery Performance and Its Implications for Logistics Customer Satisfaction Kurniawan, Angga Tri Hanggara; Maniah, Maniah; Purnomo, Agus
Dinasti International Journal of Economics, Finance & Accounting Vol. 7 No. 1 (2026): Dinasti International Journal of Economics, Finance & Accounting (March-April 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v7i1.6303

Abstract

This study examines the effects of Green Logistics Practices, Digital Order Tracking Transparency, and Transportation on Last Mile Delivery Performance and their implications for Logistics Customer Satisfaction among courier and logistics service customers at PT Pos Indonesia Situbondo Branch. A quantitative explanatory research design was employed. Data were collected through questionnaires distributed to 131 respondents selected using stratified random sampling from a population of 188 customers. The data were analyzed using Structural Equation Modeling Partial Least Square with Smart PLS3. The results demonstrate that Green Logistics Practices, Digital Order Tracking Transparency, and Transportation have positive and significant effects on Last Mile Delivery Performance. These variables also have positive and significant direct effects on Logistics Customer Satisfaction. Furthermore, Last Mile Delivery Performance has a positive and significant effect on Logistics Customer Satisfaction and acts as a mediating variable that strengthens the influence of Green Logistics Practices, Digital Order Tracking Transparency, and Transportation on customer satisfaction. These findings highlight the importance of sustainable logistics practices, transparent digital information systems, and reliable transportation in enhancing last mile delivery performance and customer satisfaction. The study provides practical insights for logistics service providers in improving service quality through integrated and sustainable logistics strategies.
Co-Authors Arif Yudha Wahyudi Dani Ramdani, Dani Erna Mulyati Erna Mulyati Erna Mulyati Fachmi Rachmat Chaidar, Diar Gunawan, Andri Handoko, Kokoh Hariadi Ismail Hendri Lasmana Kurniawan, Angga Tri Hanggara Lasmana, Hendri M. Yogi Riyantama Isjoni Maniah, Maniah Melia Eka Lestiani Muhamad Faisal Nasrudin Mustafia Mustafia* Putri Mety Zalynda Ramadhan Surya Dinata Saptono Kusdanu Waskito Sudrajat, Yogi Sutarman Sutarman Syafrianita Syafrianita Yogi Sudrajat