Analisis Critical Failure Factors dalam Pengelolaan Data Silo untuk mencegah Poor Data Quality dengan Pendekatan Case Study Research

Syahputra, Izdihar Wanda (2025) Analisis Critical Failure Factors dalam Pengelolaan Data Silo untuk mencegah Poor Data Quality dengan Pendekatan Case Study Research. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem laporan manual yang banyak digunakan oleh perusahaan bus sering kali mengakibatkan masalah data silo, seperti fragmentasi data dan validasi data yang buruk, yang berdampak negatif pada efisiensi operasional dan pengambilan keputusan. Permasalahan ini diperburuk oleh kurangnya integrasi antara teknologi dan informasi lintas divisi. Penelitian ini bertujuan untuk mengidentifikasi Critical Failure Factors (CFF) yang memengaruhi pengelolaan data silo di perusahaan bus dan memberikan rekomendasi untuk meningkatkan kualitas data serta efisiensi sistem kerja. Teori Case Study Research digunakan sebagai pendekatan utama dalam penelitian ini. Data dikumpulkan melalui wawancara semi-terstruktur dengan 21 peserta kerja dari berbagai divisi di perusahaan bus. Data dianalisis menggunakan descriptive thematic analysis dengan pendekatan open coding untuk mengidentifikasi tema dan pola dari data. Hasil penelitian menemukan empat CFF utama: kendala teknologi, fragmentasi data, masalah validasi data, dan perbedaan antar divisi. Rekomendasi strategis mencakup digitalisasi sistem pelaporan, pengembangan sistem data terintegrasi, pelatihan karyawan terkait validasi data, serta peningkatan komunikasi lintas divisi untuk mengurangi dampak data silo dan meningkatkan efisiensi sistem kerja.
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The manual reporting system widely used by bus companies often leads to data silo issues, such as data fragmentation and poor data validation, which negatively impact operational efficiency and decision-making. This problem is further exacerbated by a lack of integration between technology and information across divisions. This study aims to identify the Critical Failure Factors (CFF) affecting data silo management in bus companies and provide recommendations to improve data quality and system efficiency. Case Study Research Theory was employed as the primary approach in this study. Data were collected through semi-structured interviews with 21 participants from various divisions within the bus company. Data were analyzed using descriptive thematic analysis with an open coding approach to identify themes and patterns. The study identified four main CFFs: technological limitations, data fragmentation, data validation issues, and inter-divisional differences. Strategic recommendations include digitizing the reporting system, developing an integrated data system, providing employee training on data validation, and enhancing inter-divisional communication to mitigate the impact of data silos and improve system efficiency.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	data silo, Case Study Research Theory, descriptive thematic analysis, bus companies, Critical Failure Factors, data silo, Teori Case Study Research, perusahaan bus
Subjects:	T Technology > T Technology (General) > T58.6 Management information systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 59101-(S2) Master Thesis
Depositing User:	Izdihar Wanda Syahputra
Date Deposited:	31 Jan 2025 04:30
Last Modified:	31 Jan 2025 04:30
URI:	http://repository.its.ac.id/id/eprint/117285

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