Evaluation of Maturity Level of Information and Communication Technology (ICT) Governance with CobIT 5.0 Case Study: STMIK Pelita Nusantara Medan

Sihotang, Hengki Tamando; Zarlis, Muhammad; Efendi, Syahril; Jollyta, Deny; Husain,

doi:10.1088/1742-6596/1255/1/012046

Cited by 8 publications

(8 citation statements)

References 1 publication

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“…En conclusión, para que este modelo funcione adecuada y correctamente, también requiere políticas y procedimientos de gestión para la organización. Sihotang et al (2019), evaluaron el nivel de madurez de la gobernanza de las TIC con COBIT 5.0. realizaron un estudio de caso: STMIK Pelita Nusantara Medan. Universidad de Indonesia.…”

Section: Justificación De La Investigaciónunclassified

Evaluación de la madurez tecnológica en la Universidad Estatal del Sur de Manabí

Suárez Toala,

Venegas Loor

2023

Pentaciencias

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Al hablar de gobernabilidad y gestión de las tecnologías de información en la universidad, los estudiantes, docentes y administrativos deben tomar acciones para que la universidad se vuelva inclusiva, transparente, ética, equitativa y centrada en la mejora continua, de esta manera emerge el objetivo general de esta investigación, evaluar el nivel de madurez tecnológica sobre la gobernanza y la gestión de las Tecnologías de la Información en la Universidad Estatal del Sur de Manabí. Bajo la consistencia metodológica del paradigma positivista, con un enfoque cuantitativo, de alcance descriptivo, documental, usando método histórico – lógico, hipotético – deductivo, análisis – síntesis, matemático – estadístico, se aplicó una encuesta a los funcionarios del departamento de tecnología, se diseñó un cuestionario según el marco de referencia COBIT. A partir de la evaluación dio como resultado el nivel de madurez 4, establecido y controlado, se midieron los dominios APO, DSS, MEA. Se concluyó que la universidad tiene establecido los objetivos, mismos que son claros y medibles, se establecen metas para mejora del desempeño, se realizan controles, se gestiona la capacidad de respuesta y se utilizan técnicas que permiten identificar causas de los problemas, para prever errores y mejorar los procesos y la gestión tecnológicos.

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Section: Justificación De La Investigaciónunclassified

Evaluación de la madurez tecnológica en la Universidad Estatal del Sur de Manabí

Suárez Toala,

Venegas Loor

2023

Pentaciencias

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“…Pernyataan tersebut didukung oleh penelitian [31], [33], [34] yang memilih COBIT 5 sebagai kerangka kerja evaluasi tata kelola TI. Hal tersebut dikarenakan COBIT 5 menyediakan kerangka kerja yang komprehensif sehingga mampu membantu organisasi dalam mencapai tujuan dan memberikan penilaian mengenai manajemen TI pada organisasi [35], [36].…”

Section: Hasil Dan Pembahasanunclassified

Perkembangan Evaluasi Tata Kelola Teknologi Informasi: Literature Review

Khansa

Ramadhan

Alfarisy

et al. 2022

jcse. journal. of. computer. science. and. engineering.

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Information technology is an important organizational asset to be managed and maximized so that its use can be aligned with business needs, thus helping to improve the achievement of the organization's vision and mission. Therefore, the implementation of information technology governance in every organization needs to be monitored for its implementation, this makes the organization more mature and immediately makes improvements to its management of its IT assets. Various studies have been conducted to evaluate IT governance in organizations using various frameworks. This study aims to conduct a review of previous studies related to the development of IT governance evaluation in reviewing research activities carried out in a certain period, analyzing the framework used and why the framework is used. The results show that research to evaluate IT governance peaked in 2014 which was dominated by the institutional sector using the COBIT 5 framework and the various reasons for using COBIT 5 are discussed further in this study.

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“…To put it another way, weak students become strong ones. Although the AdaBoost method functions similarly to boosting, there is a little difference in how it does so [20].…”

Section: Adaboost Classifiermentioning

confidence: 99%

Novel approach of Predicting Human Sentiment using Deep Learning

Shadadi

Kouser

Alamer

et al. 2022

jcse. journal. of. computer. science. and. engineering.

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Due to its interactive and real-time character, gathering public opinion through the analysis of massive social data has garnered considerable attention. Recent research have used sentiment analysis and social media to do this in order to follow major events by monitoring people's behavior. In this article, we provide a flexible approach to sentiment analysis that instantly pulls user opinions from social media postings and evaluates them. As time passed, an increasing number of people shared their opinions on social media. More individuals can now communicate with one another as a result. Along with these advantages, it also has certain drawbacks that cause resentment in some people. Hate speech is another possibility. Hate speech impacts the community when it contains insulting or threatening language. Before it spreads, this kind of speech has to be identified and deleted from social media platforms. The process of determining whether a text's feelings reflect hatred or not involves sentiment analysis. Python language was used to analyze the Twitter dataset. There were 5000 Tweets in total in this dataset, and we used deep learning to improve the machine learning model's accuracy. The experimental outcome in both cases of the Twitter dataset uses the Random Forest approach, which has a 99 percent accuracy rate.

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Evaluation of Maturity Level of Information and Communication Technology (ICT) Governance with CobIT 5.0 Case Study: STMIK Pelita Nusantara Medan

Cited by 8 publications

References 1 publication

Evaluación de la madurez tecnológica en la Universidad Estatal del Sur de Manabí

Evaluación de la madurez tecnológica en la Universidad Estatal del Sur de Manabí

Perkembangan Evaluasi Tata Kelola Teknologi Informasi: Literature Review

Novel approach of Predicting Human Sentiment using Deep Learning

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