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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.
Analisis Pengaruh Kinerja Program Keselamatan dan Kesehatan Kerja (K3) Dalam Meningkatkan Produktivitas Kinerja di Pelabuhan Patimban Yunanto, Riki Achmad; Purnama, Anggi Widya; Lestiani, Melia Eka
Jurnal Keselamatan Kesehatan Kerja dan Lingkungan Vol. 5 No. 2 (2024): Juli - Desember 2024
Publisher : Fakultas Kesehatan Masyarakat Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jk3l.5.2.111-121.2024

Abstract

Menurut data kecelakaan kerja Pelabuhan Patimban 2020 – 2023 masih terjadi kecelakaan kerja dan belum mencapai zero accident serta penilaian kinerja karyawan masih belum baik dari tahun ke tahun. Penelitian ini bertujuan untuk mengetahui pengaruh Keselamatan dan Kesehatan Kerja (K3) terhadap kinerja karyawan sesuai Pasal 18 ayat 1 UU No. 3 Tahun 1992 bahwa perusahaan harus mengukur tingkat frekuensi, severity, safe t score dengan mengidentifikasi penyebab kecelakaan dan membuat usulan perbaikan. Metode yang digunakan berupa Analisis Regresi Linier Berganda yang digunakan untuk mengetahui pengaruh Keselamatan dan Kesehatan Kerja (K3) terhadap kinerja karyawan, Failure Mode and Effect Analysis (FMEA) yang digunakan untuk mengidentifikasi potensi kegagalan pada aktivitas bongkar muat, dan Fault Tree Analysis (FTA) digunakan untuk mengetahui sumber penyebab kecelakaan kerja. Hasil penelitian menunjukkan bahwa terdapat hubungan Keselamatan dan Kesehatan Kerja (K3) terhadap kinerja karyawan dengan nilai r sebesar 0,894. Hasil penelitian menunjukkan kecelakaan berpengaruh terhadap produktivitas. Program Keselamatan dan Kesehatan Kerja (K3) Pelabuhan Patimban dikatakan terlaksana cukup baik. Dari data yang diolah bahwa semakin menurunnya tingkat frekuensi dan tingkat severity akan meningkatkan produktivitas karyawan. Berdasarkan Risk Priority Number (RPN) tertinggi dari 5 aktivitas bongkar muat, digunakan Fault Tree Analysis (FTA) untuk melihat akar permasalahan kecelakaan. Dari Fault Tree Analysis (FTA), dapat diberi usulan perbaikan yaitu melaksanakan safety induction secara rutin dan safety patrol setiap shift.
The Influence Of Disruptive Environment, Value Chain Efficiency, And Logistics Agility On Logistics Innovation And Its Implications On Company Performance Widodo, Erlangga Putragung; Waskito, Saptono Kusdanu; Lestiani, Melia Eka
Amkop Management Accounting Review (AMAR) Vol. 5 No. 2 (2025): July - December
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v5i2.2896

Abstract

This study provides a comprehensive examination of the effects of three independent variables - disruptive environment, value chain efficiency, and logistics agility - on logistics innovation and its subsequent impact on company performance at PT Pos Indonesia Main Branch Office in Jember. Data collection involved a structured questionnaire distributed to 146 respondents, including managers, staff members, and distribution partners. Data analysis was conducted using Structural Equation Modeling (SEM) with SMART PLS 3 software. The results indicate that a disruptive environment - characterized by emerging technologies, market volatility, and global uncertainties - drives logistics innovation with a contribution value of 28.22%, highlighting the necessity for swift adaptation to external changes. Additionally, value chain efficiency, encompassing asset optimization and waste reduction, contributes 25.31% to innovation, while logistics agility - measured by responsiveness and digital integration - accounts for 25.75% of the innovation effect. Furthermore, logistics innovation has a significant impact on company performance, with an effect size of 70.5%. These findings underscore the critical role of cross-functional collaboration, technological investment, and human capital development in bolstering innovation capabilities. Practical recommendations include strengthening strategic partnerships, establishing internal innovation hubs, and continuously monitoring market and technology trends to sustain competitive performance in the digital era.