Assessment of GIS implementation in Indonesian e-Government system

Ramadhan, Arief; Sensuse, Dana Indra; Arymurthy, Aniati Murni

doi:10.1109/iceei.2011.6021515

Cited by 18 publications

(6 citation statements)

References 13 publications

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“…The development of start-up businesses in Indonesia is growing quite rapidly. This happens in line with the development of the use of information technology in various fields, for example in the government sector (Ramadhan et al 2011) and the business sector (Ramadhan 2022). Currently, there are at least more than 900 local start-ups in Indonesia.…”

Section: Introductionmentioning

confidence: 85%

Knowledge Management System Model for Start-Up Business Community

Muhammad¹,

Hiererra²,

Sriwardiningsih³

et al. 2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Business start-ups are companies that are newly established and are in the development and research phase to find the right market based on information technology. However, business start-ups as a new business have difficulty developing their business due to their limited knowledge and experience, therefore business start-ups need a system or model that can provide information and knowledge with a social approach so that business start-ups can develop

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Section: Introductionmentioning

confidence: 85%

Knowledge Management System Model for Start-Up Business Community

Muhammad¹,

Hiererra²,

Sriwardiningsih³

et al. 2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…The flow of covid-19 problem solving by the government should have to develop a model of problem-solving by e-governance in the face of the global covid-19 pandemic until the future that has sustainability such as research (Ullah, Pinglu, Ullah, Abbas, & Khan, 2021). One solution in the problem of data reporting is with a web-based information system with centralized data and with an application architecture like this can serve many users at once (Dissanayake & Dias, 2017) which was developed by the Communication and Infrmatika office of North Sumatra to a display that will provide convenience in decision making, which is displayed with GIS (Graphic Information System) model through the display of google maps (Ramadhan, A., Sensuse, D. & Arymurthy, A. (2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Centralized and Mapped GIS Web-Based Covid-19 Data Reporting Application with The Waterfall Method

Muliono

2021

CNAHPC

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Covid-19 pandemic cases are currently increasing and expanding throughout the world, especially in Indonesia in the province of North Sumatra. Data on the number of cases spread in the province of North Sumatra which is summarized and published, sometimes there are still disputes over the number and lack of organization in the number of records and their distribution, so there are often errors in the data collected by the health department and which will be published to the public. The case study in this research is the design of an information system that regulates the process of recording, moving, accumulating, and mapping GIS data maps to the publication of Positive case data, Patient Under Surveillance, Polymerase Chain Reaction, and Rapid Test results directly through a web-based covid-19 data reporting application. Sourced from each user of every health facility in each district and city from each sub-district in the province of North Sumatra to support the accuracy of data in decision-making built at the North Sumatra Province Information and Communication Office. The method used in developing the application uses the waterfall method, starting from the needs analysis stage, design, implementation to testing until maintenance. The results of the implementation and testing were carried out using the Blackbox and Whitebox methods. Presentation of GIS web data using google maps has not used a threshold value based on a calculated algorithm, but still uses the determination of crisp values so that the results cannot be said to be relevant as a determinant.

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“…Proposition 3 implies that if the max-norm minimization (32) with optimal weight (36) does not recover x 0 , then the sum-norm minimization (33) can also not recover x 0 for any weight λ. Now we will see that lower bounds on the number of measurements from Mu et al [4, section 3] straightforwardly extend to the max-norm with optimal weights.…”

Section: Weighted Regularizersmentioning

confidence: 99%

“…For example, upcoming challenges in communication engineering and signal processing require efficient algorithms for such problems with theoretical guarantees [29][30][31]. It is also wellknown that recovery problems related to simultaneous structures like sparsity and low-rankness are at optimal rate often as hard as the classical planted/hidden clique problems, see for example [32] for further details and references.…”

Section: Simultaneously Sparse and Low-rank Matricesmentioning

confidence: 99%

Simultaneous Structures in Convex Signal Recovery—Revisiting the Convex Combination of Norms

Kliesch

Szarek

Jung

2019

Front. Appl. Math. Stat.

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In compressed sensing one uses known structures of otherwise unknown signals to recover them from as few linear observations as possible. The structure comes in form of some compressibility including different notions of sparsity and low rankness. In many cases convex relaxations allow to efficiently solve the inverse problems using standard convex solvers at almost-optimal sampling rates. A standard practice to account for multiple simultaneous structures in convex optimization is to add further regularizers or constraints. From the compressed sensing perspective there is then the hope to also improve the sampling rate. Unfortunately, when taking simple combinations of regularizers, this seems not to be automatically the case as it has been shown for several examples in recent works. Here, we give an overview over ideas of combining multiple structures in convex programs by taking weighted sums and weighted maximums. We discuss explicitly cases where optimal weights are used reflecting an optimal tuning of the reconstruction. In particular, we extend known lower bounds on the number of required measurements to the optimally weighted maximum by using geometric arguments. As examples, we discuss simultaneously low rank and sparse matrices and notions of matrix norms (in the "square deal" sense) for regularizing for tensor products. We state an SDP formulation for numerically estimating the statistical dimensions and find a tensor case where the lower bound is roughly met up to a factor of two.

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Assessment of GIS implementation in Indonesian e-Government system

Cited by 18 publications

References 13 publications

Knowledge Management System Model for Start-Up Business Community

Knowledge Management System Model for Start-Up Business Community

Centralized and Mapped GIS Web-Based Covid-19 Data Reporting Application with The Waterfall Method

Simultaneous Structures in Convex Signal Recovery—Revisiting the Convex Combination of Norms

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