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Journal : Journal of Integrated System

Penggunaan Technology Acceptance Model Dalam Mengukur Kualitas Layanan Platform E-Commerce Hesti Maheswari; Ruth Kiris D Siregar
Journal of Integrated System Vol. 4 No. 2 (2021): Journal of Integrated System Vol. 4 No. 2 (Desember 2021):
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jis.v4i2.3491

Abstract

Seiring dengan meningkatnya pertumbuhan ecommerce di Indonesia, ternyata jumlah pengaduan akan ketidakpuasan konsumen terhadap layanan ecommerce pun meningkat setiap tahunnya. Penelitian ini bertujuan menganalisis kualitas layanan ecommerce dalam meningkatkan kepuasan konsumen dengan technology acceptance model. Platform yang dianalisis dalam penelitian ini adalah Tokopedia dengan menggunakan bagan quality function deployment. Hasil analisis menunjukkan bahwa tingkat kepuasan konsumen masih berada di bawah tingkat harapan konsumen. Sistem yang user friendly, user interface yang simpel dan jelas, otomatisasi fitur saran, sistem pembayaran yang terintegrasi, dan membuat kolom pencarian terlihat jelas merupakan lima prioritas karakteristik teknis yang harus menjadi perhatian perusahaan karena sesuai dengan kebutuhan konsumen. Penelitian ini menyarankan kepada Tokopedia untuk melakukan evaluasi dan perbaikan secara berkala serta melakukan testing aplikasi secara rutin sehingga dapat meminimalisir terjadinya error dan bug. Tokopedia juga perlu lebih tanggap dengan keluhan pelanggan dan pihak pengembang bisa lebih update dalam menangani keluhan yang berkaitan dengan error dan ketidakstabilan aplikasi. Kata kunci: E-commerce, Kualitas Pelayanan, Technology Acceptance Model, Quality Function Deployment.
A Structured Approach to Improve Production Process Performance in Operations of Coal Mining Business Carin, Carin; Sofjan, Keanu Nathaniel; Alden, Alden; Gilbert, Kingsley; Phangestu, Windy; Maheswari, Hesti
Journal of Integrated System Vol. 8 No. 2 (2025): Journal of Integrated System Vol. 8 No. 2 (December 2025)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jis.v8i2.11631

Abstract

In the coal mining industry, operational efficiency and production quality are critical to maintaining competitiveness and meeting growing energy demands. This study focuses on the implementation of quality tools to optimize cycle time within the coal production process, from extraction to final delivery to consumers. The tools utilized include flowchart, check sheet, fishbone diagram, Pareto chart, and control chart. The results showed that they are the most effective tools to solve the cycle time in coal mining industry and improve the quality of final products. A detailed workflow mapping revealed several critical bottlenecks contributing to inefficiencies, such as heavy rain, equipment breakdowns, loading delays, and inadequate interdepartmental coordination. Further root cause analysis using the Fishbone diagram identified key contributors from the environment, machinery, work methods, and management practices. The Pareto chart highlighted that a majority of delays were driven by a few dominant causes, consistent with the 80/20 principle, allowing the company to prioritize impactful improvement actions. The control chart, used to monitor cycle time, indicated the presence of special variations through out-of-control data points. These deviations signify the need for immediate investigation and corrective measures. As a result, the PDCA cycle is recommended as a sustainable improvement framework to address recurring inefficiencies and stabilize production performance. By integrating data-driven decision-making and continuous quality improvement, this study offers a strategic foundation for enhancing productivity and ensuring timely coal distribution, particularly for power generation and industrial sectors. The findings support a structured approach toquality management, contributing significantly to the resilience and sustainability of coal mining operations.