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Prediksi Disleksia pada Anak menggunakan Metode Naive Bayes Siti Alyunita Mega Lestari; Akim M.H. Pardede; Magdalena Simanjuntak
Jurnal Kajian dan Penelitian Umum Vol. 2 No. 5 (2024): Oktober : Jurnal Kajian dan Penelitian Umum
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/jkpu-nalanda.v2i5.1287

Abstract

Dyslexia is a neurological disorder that affects a person's ability to read, spell, and understand words with a level of difficulty that is not in accordance with their level of intelligence or education. It is a lifelong condition that can affect the way the brain processes information related to reading and written language skills. This study uses the Naïve Bayes method. is a method that uses probability and statistical calculations. And the advantage of the Naïve Bayes classification is that this method only requires a small amount of training data to determine the parameter estimates needed in the classification process. The purpose of this study is to find out how to solve the diagnosis or problems arising from dyslexia in children made in an expert system using the Naïve Bayes method and to find out the results of making the system can replace an expert into a computer so that the diagnosis is easier and faster. The results of this study are by selecting the symptoms that occur in children according to what is experienced, the system can find out the child or patient can be diagnosed quickly according to consultation with a dyslexia expert.
Audit Sistem Informasi Pelayanan Perpustakaan Binjai Menggunakan Framework Cobit 5 Yulia Ningsih; Siti Alyunita Mega Lestari; Indah Kelana Sari; Shela Andini
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i3.101

Abstract

The Binjai Library has developed a technology-based information service system to improve service quality for the community. This study aims to audit the information service system of the Binjai Library using the COBIT 5 framework. Based on the analysis, it was found that the information system has not reached the expected target levels in all domains. The average maturity level calculation shows a score of 1.43 or 143%, which is classified as Fully Achieved. Key findings include the near alignment of human resources and IT capabilities with institutional needs, suboptimal innovation in services, and the need for improvement in HR management and communication. This study concludes that the Binjai Library needs to implement improvements and innovations to enhance the performance of the information system and service quality.