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Deden Hardan Gutama
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INDONESIA
Jurnal Sistem Informasi dan Teknologi Informasi
Published by Himpunan Penggiat Teknologi Abrar Indonesia
ISSN : 2829422X     EISSN : 2829422X     DOI : https://doi.org/10.1234/siti.v2i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
The Jurnal Sistem Informasi dan Teknologi Informasi contains articles based on the results of research in the field of information technology and computers. This journal is a means for researchers in the field of information technology and computer science to publish their research works. The editorial editor of the Information and Computer Technology journal consists of lecturers related to the field of information technology and computer science in concentrations
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 42 Documents
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Implementasi Data Mining Dengan Implementasi Data Mining Dengan Naïve Bayes Untuk Prediksi Penerima Bantuan Langsung Tunai (Blt) Warga Desa Xyz: Implementasi Data Mining Dengan Naïve Bayes Untuk Prediksi Penerima Bantuan Langsung Tunai (Blt) Warga Desa Xyz Dari, Wulan
Jurnal Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2023): Journal of information system and information technology
Publisher : Himpunan Penggiat Teknologi Informasi Abrar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/siti.v2i2.251

Abstract

Xyz Village officials carry out a program from the government to distribute Direct Cash Assistance (BLT) to underprivileged people in Medan Tembung District. The BLT program is a government assistance program in the form of giving cash to the poor. Implementation of the program aims to improve the welfare of the poor. Currently, it is considered that the BLT distribution is still not on target and does not meet the criteria which are the benchmarks for the people who will receive the assistance. The Naïve Bayes method was used in this case study to classify beneficiary communities in order to more easily select people who really deserved to receive BLT. This study uses 20 data and 5 criteria including: name, age, gender, status, income, and beneficiary status. After conducting research with a total of 20 data and using the Naïve Bayes method, the results obtained were that 45% of the residents of Xyz Village were eligible to receive BLT and 55% of the residents were not eligible to receive BLT. Keywords: Data Mining, Naïve Bayes Algorithm, Direct Cash Assistance
The Analisis Manajemen Risiko Teknologi Informasi Perusahaan Menggunakan Framework ISO 31000 (Studi Kasus: PT. Bank BTPN, Tbk) luqman
Jurnal Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2023): Journal of information system and information technology
Publisher : Himpunan Penggiat Teknologi Informasi Abrar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/siti.v2i2.252

Abstract

Bank BTPN is a bank engaged in general banking, resulting from the merger of PT. Bank Tabungan Pensiunan Nasional Tbk with PT. Bank Sumitomo Mitsui Indonesia. With the advancement of technology, information technology has been implemented in the business activities of banking companies. Running business processes certainly involves various risks with negative impacts. Therefore, the implementation of information technology risk management is necessary. The goal is to analyze and identify risks that may or have already occurred so that mitigation processes can be formulated. One method that will be used in the risk management analysis at PT. Bank BTPN Tbk is by using the ISO 31000 standard framework. The process involves risk identification, risk assessment, and risk evaluation phases. The results of this risk management process create a matrix of the likelihood and impact of identified risks. Applying IT risk management using the ISO 31000 framework is expected to assist PT Bank BTPN Tbk in preventing risks and addressing the negative impacts of these risks.

Page 5 of 5 | Total Record : 42

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