Eninta Rahayu Barus
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pengelompokan Data Penerima Bantuan untuk Disabilitas di Kota Binjai Menggunakan Metode Clustering Algoritma K-Means Eninta Rahayu Barus; Novriyenni Novriyenni; Suci Ramadani
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.207

Abstract

In Indonesia, people with disabilities are often overlooked and underestimated because they do not have perfect physical abilities to do certain jobs or activities. The majority of them come from underprivileged families and are often underdeveloped. The unstructured process of distributing assistance can result in the assistance provided is not in accordance with the needs, so it is not optimal in improving the welfare of persons with disabilities. In addition, without a clear grouping, it is difficult for the government to design a more specific and targeted assistance program. Therefore, to overcome this problem, the agency needs to have an additional system to be able to assist in overcoming the problem of disability assistance recipients, namely by using the clustering method to group beneficiary data based on age, type of disability, and type of assistance. Thus, this clustering is expected to provide information and a clearer picture of the needs of each disability group, so that the assistance program provided can be distributed more optimally according to what people with disabilities need. After calculating using the existing cluster formula4, iteration 2 is the same as in iteration 1 and there is no data that moves groups anymore so the calculation can be stopped. So that a cluster graph can be made grouping data on beneficiaries of assistance for disabilities in Binjai City using the K-Means algorithm clustering method.
Audit Sistem Informasi Menggunakan Framework Cobit 5: (Studi Kasus : PT Media Cetak) Eninta Rahayu Barus; Elfira iriani; Fresti anjeli
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2024): Juli : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i3.206

Abstract

The information systems currently used by PT Media Print need to be evaluated to ensure that they remain relevant, efficient and secure. In the competitive print media industry, it is important for companies to ensure that their information systems support business processes well and provide high-quality service to customers. This audit aims to ensure that the information system functions properly, protects sensitive information, and meets organizational goals. By using an information system audit, it is hoped that it can help identify areas where improvements or improvements are needed to improve service quality and control existing security in information systems, including access management, data encryption, user activity monitoring, and data protection measures. From the research carried out, the final result was obtained, namely DSS03 (Manage Service Requests and Incidents) showing the overall level of capability in the DSS03 sub-process and the average results for the DSS03 IT Process itself are shown in table 3 process capability domain DSS03 manage operations.