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All Journal Jurnal Mandiri IT Journal Of Informatics And Busisnes
Prayoga, Dio
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Computer Science & IT Economics, Econometrics & Finance Library & Information Science Mathematics

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Analisis Kerentanan Keamanan Data Pada BAPELITBANG SUMUT: Upaya Penguatan Perlindungan Informasi Prananda, Dimas Raka; Nasution, Yusuf Ramadhan; Prayoga, Dio
Journal Of Informatics And Busisnes Vol. 1 No. 3 (2023): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.381

Abstract

The utilization of information technology inside the Research and Development Agency of North Sumatra (BAPELITBANG SUMUT) has a significant impact on data security. The objective of this study is to evaluate the issue of data security at the Research and Development Agency of North Sumatra (BAPELITBANG SUMUT) and propose solutions to enhance data security. Infrastructure technology, security policies, access management, and user awareness are components of vulnerability identification. Dalam rangka memperoleh pemahaman yang komprehensif mengenai tingkat efektivitas tindakan keamanan yang telah dilaksanakan, diperlukan suatu evaluasi terhadap system keamanan yang sedang berjalan. In addition, the study assesses the extent to which BAPELITBANG SUMUT complies with the applicable security regulations. This study provides a foundation for enhancing data security comprehensively by designing and implementing efforts to improve information protection, such as security policy updates, infrastructure enhancements, and user training. Pengujian dan evaluasi implementasi upaya penguatan digunakan untuk menilai tingkat efektivitasnya. The objective of this study is to provide guidance for similar institutions in enhancing their data security and contribute to the literature on local government data security management. The results indicate that measures to enhance data security are necessary to ensure the integrity, confidentiality, and availability of data managed by BAPELITBANG SUMUT..
Classification eligibility recipient BPJS in ward sendang sari using the naive bayes method Prayoga, Dio; Kurniawan, Rakhmat
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.405

Abstract

Study This done for classify eligibility BPJS recipients in the sub-district Sendang Sari with use Naive Bayes method, which is relevant in support transparency and efficiency distribution benefit guarantee social at the level sub-district. Problems main in study This is Still its use manual system in the classification process, which causes the decision-making process decision become slow, subjective and vulnerable error. Research methods involving collection of 1000 citizen data Ward Sendang Sari which consists of from attributes like type gender, employment status, ownership house, income, and amount liability. Data then through preprocessing stage, including conversion variable categorical use LabelEncoder and determination of eligibility labels based on threshold income and amount liability. Next, the data is divided into training data and test data with 80:20 ratio. Classification model built use Gaussian Naive Bayes algorithm and evaluated use confusion matrix metrics which include accuracy, precision, and recall. Evaluation results show that the model achieves accuracy of 0.97 or 97%, precision of 0.95 or 95%, and recall of 0.90 or 90%, and F1-Score of 0.93 or 93 % which to signify that this model Enough effective For classify eligibility BPJS recipients. Research This conclude that The Naive Bayes method is capable of give accurate and consistent classification, which can increase efficiency administration ward as well as speed up distribution benefit to entitled community.
Co-Authors Prananda, Dimas Raka Rakhmat Kurniawan R Yusuf Ramadhan Nasution, Yusuf Ramadhan