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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal Software Engineering and Computer Science (IJSECS)
Afarini, Nihayah
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Computer Science & IT

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The Proposed Implementation of Enterprise Architecture in E-Government Development and Services Afarini, Nihayah; Hindarto, Djarot
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1756

Abstract

The advancement of information technology has emerged as a significant driver in the paradigm shift of contemporary governance, wherein E-Government has emerged as a primary mechanism for delivering public services to the public in a more streamlined and adaptable fashion. To attain this objective, adopting Enterprise Architecture has surfaced as a foundational strategic methodology. Enterprise Architecture facilitates the planning, design, and development of integrated E-Government systems for governments, thereby ensuring the efficient and effective collaboration of diverse government entities. This study investigates the feasibility of incorporating Enterprise Architecture into the framework of E-Government advancement through an assessment of its advantages. Enterprise Architecture facilitates the integration of pre-existing government systems, the elimination of redundant resource allocations, and enhancing citizen services. Furthermore, by establishing a measurable and manageable framework for E-Government projects, Enterprise Architecture facilitates the implementation of the government's long-term objectives. Moreover, Enterprise Architecture is instrumental in safeguarding sensitive data and information, a critical function within the e-governance framework. This study incorporates successful case studies and best practices from numerous nations that have effectively integrated Enterprise Architecture into the development of electronic governments. The findings emphasize the critical function of Enterprise Architecture in expediting the process of E-Government conversion and providing advantages to various parties involved, such as the government, society, and private industry. This study offers E-Government stakeholders a practical guide for utilizing Enterprise Architecture to achieve substantial advancements in public services and more efficient government.
Forecasting Airline Passenger Growth: Comparative Study LSTM VS Prophet VS Neural Prophet Afarini, Nihayah; Hindarto, Djarot
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13237

Abstract

To conduct an exhaustive examination of airline passenger growth prediction methods, this study compares the performance of three distinct strategies: LSTM, Prophet, and Neural Prophet. To forecast passenger volumes accurately, the aviation industry needs robust prediction models due to rising demand. This research evaluates the performance of LSTM, Prophet, and Neural Prophet models in passenger growth forecasting by utilizing historical airline passenger data. A comprehensive examination of these methodologies is conducted via a rigorous comparative analysis, encompassing prediction accuracy, computational efficiency, and adaptability to ever-changing passenger traffic trends. The research methodology consists of various approaches for preprocessing time series data, engineering features, and training models. The findings elucidate the merits and drawbacks of each method, furnishing knowledge regarding their capacity to capture intricate patterns, fluctuations in passenger behavior across seasons, and abrupt shifts. The results of this study enhance comprehension regarding the relative efficacy of LSTM, Prophet, and Neural Prophet in prognosticating the expansion of airline passenger numbers. As a result, professionals and scholars can gain valuable guidance in determining which methodologies are most suitable for precise predictions of forthcoming passenger demand. This comparative study serves as a significant point of reference for enhancing aviation prediction models to optimize the industry's resource allocation, operational planning, and strategic decision-making.
Co-Authors Hindarto, Djarot