Critical success factors for ICT project: A case study in project colocation government data center

Adywiratama, Andytias Dwi; Ko, Chielsin; Raharjo, Teguh; Wahbi, Andi

doi:10.1016/j.procs.2021.12.154

Cited by 11 publications

(9 citation statements)

References 9 publications

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“…1) Identifikasi indikator Indikator evaluasi pelayanan diperoleh dari dimensi yang telah ditetapkan. Dimensi-dimensi tersebut mencakup aspek-aspek kritis yang perlu dievaluasi dalam konteks sistem E-Government berdasarkan Kepmen nomor 595 Tahun 2020 tentang Pedoman Evaluasi Pelayanan Publik Berbasis Elektronik [16], [17]. Proses identifikasi indikator dilakukan dengan merinci setiap dimensi dan menentukan parameter yang dapat diukur untuk mencerminkan kinerja atau keberhasilan dalam setiap dimensi tersebut.…”

Section: Pengembangan Instrumenunclassified

Evaluasi Kinerja E-Government Menggunakan Indeks Layanan Publik Elektronik Sebagai Standar Benchmarking Layanan Publik

Heryati,

Zaliman,

Terttiaavini

et al. 2023

MALCOM

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Penelitian ini mengevaluasi kinerja E-Government di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kota Palembang, dengan fokus pada implementasi Sistem Informasi Pelayanan Perizinan Online (SIPPERI). Penelitian ini bertujuan untuk menilai efektivitas dan efisiensi layanan informasi kepada masyarakat dan pelaku usaha. Metode evaluasi menggunakan Indeks Layanan Publik Elektronik sebagai Standar Benchmarking. Hasil evaluasi menghasilkan nilai indeks e-Service sebesar 3,310 dengna Predikat "Sangat Baik". Meskipun demikian, masih diperlukan perbaikan pada tiga dimensi dengan nilai terendah, yaitu interaksi (SI) dengan nilai 0,424, pelayanan (CS) dengan nilai 0,453, dan kepercayaan (T) dengan nilai 0,477. Penerapan website SIPPERI memberikan kontribusi yang positif dan evaluasi ini menjadi dasar untuk perbaikan yang mendukung pertumbuhan sektor penanaman modal dan interaksi pemerintah di Kota Palembang yang sejalan dengan Standar Benchmarking Layanan Publik.

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Section: Pengembangan Instrumenunclassified

Evaluasi Kinerja E-Government Menggunakan Indeks Layanan Publik Elektronik Sebagai Standar Benchmarking Layanan Publik

Heryati,

Zaliman,

Terttiaavini

et al. 2023

MALCOM

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“…By integrating both qualitative and quantitative criteria, the AHP method facilitates a comprehensive assessment of multiple factors while considering the decision maker's priorities (Özkan et al, 2022). This method incorporates a straightforward model specifically designed to tackle intricate problems and employs a scaling, ranking, or rating scheme to evaluate various intangible variables (Adywiratama et al, 2021). One notable aspect of the AHP method is the utilization of an intangible measure to define the research area and serve as a performance indicator for the project at hand.…”

Section: Figure 1 Sustainable Green Data Center Frameworkmentioning

confidence: 99%

Enabling Practical Decision Making For Sustainable Green Data Center Planning

Muhamad Faris Naufal Austen,

Athor Subroto

2023

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Data centers play a crucial role in storing and processing data in today's digital age, leading to a surge in demand for sustainable green data center planning. However, implementing practical measures to achieve sustainability remains a challenge for data center managers. This study aims to aid their informed decision-making in sustainable green data center planning. Previous research has identified seven green data center key components: ICT governance, infrastructure, energy, equipment lifecycle, green technology, benchmarking, and business continuity. Subsequently, the study expanded by utilizing the FAHP method to evaluate the perspectives of various experienced data center. Those green data center components were evaluated against each other regarding the three sustainability criteria: environment, economy, and corporate. Consequently, it was discovered that infrastructure, green technology, and business continuity consistently held the highest fuzzy weight in multiple sensitivity analysis scenarios. Thus, data center managers can allocate resources based on priority rankings and adjust accordingly.

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“…If top management fails to delegate sufficient responsibility and power to the project manager or to support the project manager's recommendations, the overall project results will be negatively impacted (22). Research (12) analyzed the ICT project's critical success factors; ten CSFs were analyzed using AHP to establish their ranking. The value weight of Top Management Support is 33.1 percent.…”

Section: Informal | 106mentioning

confidence: 99%

Analysis of Critical Success Factors (CSF) in the Quality Assurance Project of PT. SVM

Aziiza

Amalia

2022

INFORMAL

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A development project of quality assurance is always planned to achieve a successful and satisfactory final project result. Many factors affect a quality assurance project's ability to achieve a successful final project result, called the Critical Success Factors. Conducting critical success factor analysis requires the company appropriate for the research, PT. SVM was selected as the subject of research. This research analyzes the Critical Success Factors (CSF) at PT. SVM in handling university quality assurance development projects in various cities in Indonesia. The research stages are the initial interview, literature review, data analysis and verification, and determining the result. The results of the CSF analysis in the literature matched with the verification results of CSF-related interviews. Based on 25 CSFs analyzed from the literature review, 23 CSFs were used in PT. SVM and 2 CSFs were not obtained from the verification process at PT. SVM.

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Critical success factors for ICT project: A case study in project colocation government data center

Cited by 11 publications

References 9 publications

Evaluasi Kinerja E-Government Menggunakan Indeks Layanan Publik Elektronik Sebagai Standar Benchmarking Layanan Publik

Evaluasi Kinerja E-Government Menggunakan Indeks Layanan Publik Elektronik Sebagai Standar Benchmarking Layanan Publik

Enabling Practical Decision Making For Sustainable Green Data Center Planning

Analysis of Critical Success Factors (CSF) in the Quality Assurance Project of PT. SVM

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