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Economic And Investment Feasibility Comparison Between Electric And Conventional Delivery Vehicles: Case Study Of Pt Pos Indonesia, Karawang Branch Adiwijaya, Isnian; Purnomo, Agus; Lestiani, Melia Eka
Al-Kharaj: Journal of Islamic Economic and Business Vol. 7 No. 4 (2025): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v7i4.8819

Abstract

Purpose: This study aims to compare the economic and financial feasibility of electric vehicles (EVs) and conventional vehicles (CVs) in tertiary distribution operations at PT Pos Indonesia, focusing on two operational units: KCU Karawang and KCU Cirebon. Methods: A quantitative comparative approach was applied using Total Cost of Ownership (TCO) and investment appraisal indicators, including Net Present Value (NPV), Internal Rate of Return (IRR), Benefit–Cost Ratio (BCR), and Payback Period (PP). Operational data such as fuel consumption, maintenance, insurance, tax, and depreciation were analyzed under a five-year economic life cycle. Results: The findings show that EVs consistently outperform CVs across all major financial indicators. EVs reduce annual energy costs by up to 80%, significantly lower maintenance and tax expenses, and generate positive NPV values in both locations. IRR for EVs exceeds the 5% discount rate—9.35% in Karawang and 11.2% in Cirebon—while BCR values remain above 1. Payback periods for EVs are 4.4 years in Karawang and 4.3 years in Cirebon. Conversely, CVs show negative NPV, BCR < 1, and no recoverable payback period. Implications: The results highlight the strong financial viability of adopting EVs within Indonesia’s logistics sector, supporting strategic fleet electrification for long-term cost efficiency. The findings also reinforce national sustainability policies promoting low-carbon transportation and provide evidence-based insights for future investment decisions in logistics operations.
Customer Satisfaction as an Intervening Variable in the Relationship Between Service Quality, Marketing Mix, and Customer Trust at Airports Lestiani, Melia Eka; Jannah, Tsamratul; Budiono, Cyrilus Sukaca; Poerwanto, Eko; Mardwianta, Benedictus
Vortex Vol 6, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v6i2.3700

Abstract

An airport is a facility where all stakeholders in the aviation industry converge, and its core product is “service,” which includes services for passengers, cargo, and aircraft. Customer satisfaction at airports is an essential outcome that must be delivered to all aviation industry stakeholders. This study aims to analyze the influence of service quality and marketing mix on customer trust, with customer satisfaction serving as an intervening variable at the airport. In reality, many airport service users still feel dissatisfied with both the services provided and the existing facilities. This is evident from various complaints submitted by users, indicating that they have not yet experienced satisfactory airport services. This research employs a quantitative method by distributing questionnaires to 100 respondents, consisting of domestic passengers at Minangkabau International Airport. The findings reveal that service quality and marketing mix have a significant partial and simultaneous effect on customer satisfaction. Furthermore, service quality, marketing mix, and customer satisfaction—both partially and simultaneously—have a significant influence on customer trust. However, the customer satisfaction variable is unable to mediate the relationship between service quality and the marketing mix toward customer trust.
Integration of Machine Learning Models and Centralized Warehousing Strategy in Multichannel Book Distribution Optimization Kusnandar, Ato; Purnomo, Agus; Lestiani, Melia Eka
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.
The Influence of Digital Transformation, Logistics Transformation and Digital Literacy on Business Process Innovation and its Implications on Company Performance PT POS INDONESIA Sirait, Realyta; Waskito, Saptono Kusdanu; Lestiani, Melia Eka
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5359

Abstract

Transformation is a fundamental and comprehensive change in an entity, be it an individual, organization, system, or even an object, which results in different conditions. Transformation has been described by various names, digital transformation, logistics transformation and some also call it leadership transformation. COVID-19, which hit the world, has brought many changes to various business landscapes. In several business sectors this has become the starting point for transformation and PT POS Indonesia is also not free from this. The purpose of this study is to determine and analyze the implementation of digital transformation and logistics transformation that have been implemented by PT POS Indonesia. This research was conducted at the Head Office of PT POS Indonesia located at Jln Cilaki No. 73. This study uses a descriptive quantitative method involving 140 employees with a total population of 215, samples were obtained using the Slovin method with an error rate of 5%, employees work in the logistics courier business directorate and the business development and portfolio management directorate. Data collection was carried out by distributing questionnaires via google form to respondents. The results showed that the average value of each indicator was below 3,400, meeting the requirements for research. Digital transformation with an average value of 3.01, Logistics transformation with an average value of 3.04, Digital Literacy with an average value of 3.05, Business Process Innovation with an average value of 2.95, Company Performance with an average value of 3.27. Research proves that Digital Transformation, Logistics Transformation, and Digital Literacy have a positive and significant effect on Business Process Innovation. Business Process Innovation also has a positive and significant effect on Company Performance. In addition, Digital Transformation, Logistics Transformation and Digital Literacy have been proven to have a positive and significant direct effect on Company Performance. By utilizing technology, work processes in the Logistics sector will be increasingly assisted
Strategies to Overcome Digital Transformation Challenges in Courier Services - A Systematic Literature Review and Bibliometric Analysis Marsita, Emay; Maniah, Maniah; Lestiani, Melia Eka
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5389

Abstract

The rapid evolution of digital technologies has fundamentally reshaped the courier industry, prompting a wave of innovations aimed at enhancing operational performance, customer experience, and environmental sustainability. This study adopts a Systematic Literature Review (SLR), integrated with bibliometric analysis, to examine 89 peer-reviewed articles indexed in Scopus from 2018 to 2025. The findings reveal four dominant strategic pathways adopted by courier service providers to navigate digital transformation: investing in digital culture (16%), building robust technological infrastructure (45%), securing financial resources (24%), and ensuring regulatory compliance (16%). The study also highlights a surge in research activity following the COVID-19 pandemic, reflecting an industry-wide urgency to modernize last-mile delivery operations. By synthesizing these insights, the research offers a conceptual framework for future strategic alignment and provides actionable guidance for courier firms facing the pressures of digital disruption.
Import Logistics Performance Optimization through Duration-Based Process Clustering Using K-Means Siregar, Muhammad Raziq Hakim; Lestiani, Melia Eka; Maniah, Maniah
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5391

Abstract

In the global logistics landscape, optimizing import operations is critical to ensuring timely delivery and minimizing inefficiencies. This study proposes a hybrid clustering framework that integrates K-Means with Particle Swarm Optimization (PSO) to classify import logistics processes based on duration metrics. A data set comprising 344 real-world import records was analyzed, with pre-processing steps including RobustScaler normalization and outlier handling to improve data quality. The PSO algorithm was used to dynamically optimize the clustering parameters, leading to better segmentation of the logistics stages into performance-based clusters. Internal validation using the Silhouette Score (0.987), Davies-Bouldin Index (0.01), and Calinski-Harabasz Index (2450) confirmed the superior performance of K-Means over DBSCAN and Agglomerative Clustering. Principal Component Analysis (PCA) further visualized the separation between fast and slow process groups. The findings reveal that the delivery stage represents the most significant bottleneck, with durations exceeding 700 days in slower clusters. The proposed method offers actionable insights for logistics managers to improve operational efficiency, reduce lead time variability, and implement data-driven process improvements.
Development and Validation of a Centralised Procurement Model: The Key Role and Intermediary Role in Strengthening Procurement Governance (Case Study of PT Wika Gedung) Indriani, Yayuk Dwi; Purnomo, Agus; Lestiani, Melia Eka
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 3 (2025): Dinasti International Journal of Education Management and Social Science (Febru
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i3.5997

Abstract

This study aims to develop and validate a centralised procurement model in the construction industry using Exploratory Factor Analysis (EFA) and Partial Least Squares Structural Equation Modelling (PLS-SEM). The EFA results identified six new factors representing the multidimensional nature of centralised procurement: ORCHESTRA, STRATEGUS, DIGISONIC, FINCERTO, SYMPHONY-LINK, and GRAND-GOVERNANCE. All constructs showed strong statistical validity and reliability. The PLS-SEM findings showed high explanatory power, with R² values of 0.732 for SYMPHONY-LINK and 0.731 for GRAND-GOVERNANCE. These results highlight that STRATEGUS significantly influences SYMPHONY-LINK, while SYMPHONY-LINK is the dominant predictor in procurement governance. Furthermore, SYMPHONY-LINK fully mediates the effect of STRATEGUS on GRAND-GOVERNANCE, highlighting cross-functional integration as a critical driver of centralised procurement success. This study contributes theoretically by introducing new constructs into the domain of centralised procurement and provides practical implications for construction companies seeking standardised, transparent, and sustainability-oriented procurement strategies.
Pengaruh Preferensi, Kepuasan, dan Transformasi Digital terhadap Customer-Centric Service Design dengan Customer Delivery Experience sebagai Variabel Mediasi pada Layanan Kurir dan Logistik PT Pos Indonesia (Persero) Prawakca, Meilasari Cita; Lestiani, Melia Eka; Mulyati, Erna
Jurnal Manajemen Pendidikan dan Ilmu Sosial Vol. 7 No. 2 (2026): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Februari - Maret 2026)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v7i2.7726

Abstract

Persaingan industri jasa logistik mendorong perusahaan mengembangkan customer-centric service design yang berorientasi pada kebutuhan dan pengalaman pelanggan. PT Pos Indonesia (Persero) dituntut untuk mengelola preferensi pelanggan, kepuasan pelanggan, dan transformasi digital untuk menciptakan customer delivery experience yang unggul. Penelitian ini menganalisis pengaruh ketiga variabel tersebut terhadap customer-centric service design, baik secara langsung maupun melalui customer delivery experience sebagai variabel mediasi, menggunakan pendekatan kuantitatif dengan metode survei. Analisis data dilakukan dengan PLS-SEM untuk menguji pengaruh langsung dan tidak langsung antarvariabel. Hasil penelitian menunjukkan bahwa preferensi pelanggan tidak berpengaruh signifikan terhadap customer delivery experience (β = 0,036; p > 0,05), sedangkan kepuasan pelanggan (β = 0,582; p < 0,05) dan transformasi digital (β = 0,305; p < 0,05) berpengaruh positif dan signifikan. Preferensi pelanggan (β = 0,450; p < 0,05) dan transformasi digital (β = 0,319; p < 0,05) berpengaruh signifikan terhadap customer-centric service design, sementara kepuasan pelanggan tidak berpengaruh langsung signifikan (β = 0,156; p > 0,05). Customer delivery experience juga berpengaruh signifikan terhadap customer-centric service design (β = 0,403; p < 0,05) serta memediasi secara signifikan pengaruh kepuasan dan transformasi digital terhadap customer-centric service design, sedangkan preferensi tidak.
Pengaruh Kendaraan Listrik, Energi Terbarukan, dan Digitalisasi terhadap Efisiensi Biaya Operasional Melalui Green Logistics di PT Pos Indonesia (Persero) Sudarso, Danan Prasetya; Lestiani, Melia Eka; Maniah
Jurnal Manajemen Pendidikan dan Ilmu Sosial Vol. 7 No. 2 (2026): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Februari - Maret 2026)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v7i2.7628

Abstract

Tingginya biaya operasional logistik akibat ketergantungan pada bahan bakar fosil, rendahnya pemanfaatan energi terbarukan, dan keterbatasan integrasi digital menjadi permasalahan utama PT Pos Indonesia (Persero). Penelitian ini bertujuan menganalisis pengaruh implementasi kendaraan listrik, pemanfaatan energi terbarukan, dan digitalisasi operasional terhadap efisiensi biaya operasional melalui green logistics. Penelitian menggunakan pendekatan kuantitatif dengan metode Structural Equation Modeling berbasis Partial Least Squares (PLS-SEM). Data dikumpulkan melalui survei pada November-Desember 2025 terhadap 171 pegawai unit operasional logistik dan dianalisis menggunakan SmartPLS 4.0. Hasil penelitian menunjukkan bahwa implementasi kendaraan listrik (β = 0,288; p < 0,000), pemanfaatan energi terbarukan (β = 0,421; p < 0,000), dan digitalisasi operasional (β = 0,289; p = 0,000) berpengaruh positif dan signifikan terhadap green logistics. Digitalisasi operasional juga berpengaruh signifikan terhadap efisiensi biaya operasional, dengan green logistics memberikan pengaruh terbesar (β = 0.439; p < 0,000). Nilai R² sebesar 0,740 menunjukkan bahwa model mampu menjelaskan 74,0% variasi green logistics. Green logistics terbukti memediasi pengaruh ketiga variabel terhadap efisiensi biaya operasional, yang menegaskan bahwa biaya operasional lebih efektif dicapai melalui pengelolaan logistik hijau yang terintegrasi.
Integrasi Teknologi Digital dan Green Transportation dalam Rantai Pasok Berkelanjutan: Studi pada PT Pos Indonesia (Persero) Noviandy, Sandy; Lestiani, Melia Eka; Maniah
Jurnal Manajemen Pendidikan dan Ilmu Sosial Vol. 7 No. 2 (2026): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Februari - Maret 2026)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v7i2.7733

Abstract

Transformasi digital dan tuntutan keberlanjutan mendorong perusahaan logistik mengintegrasikan teknologi digital, kompetensi sumber daya manusia (SDM), dan green transportation dalam pengelolaan distribusi. PT Pos Indonesia (Persero) dituntut meningkatkan efisiensi operasi transportasi guna mewujudkan distribusi rantai pasok berkelanjutan. Penelitian ini menganalisis pengaruh teknologi digital, kompetensi SDM, dan green transportation terhadap distribusi rantai pasok berkelanjutan, baik secara langsung maupun melalui efisiensi operasi transportasi sebagai variabel mediasi. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap 100 pegawai Divisi Operasi PT Pos Indonesia (Persero) di SPP Bandung. Analisis data dilakukan menggunakan Structural Equation Modeling berbasis Partial Least Squares (PLS-SEM). Hasil penelitian menunjukkan bahwa teknologi digital tidak berpengaruh signifikan terhadap efisiensi operasi transportasi (β = 0,036; p > 0,05), sedangkan kompetensi SDM (β = 0,582; p < 0,05) dan green transportation (β = 0,305; p < 0,05) berpengaruh positif dan signifikan. Teknologi digital (β = 0,450; p < 0,05) dan green transportation (β = 0,319; p < 0,05) berpengaruh signifikan terhadap distribusi rantai pasok berkelanjutan, sementara kompetensi SDM tidak berpengaruh langsung signifikan (β = 0,156; p > 0,05). Efisiensi operasi transportasi berpengaruh signifikan terhadap distribusi rantai pasok berkelanjutan (β = 0,403; p < 0,05) serta memediasi pengaruh kompetensi SDM dan green transportation, namun tidak memediasi pengaruh teknologi digital.