Richa Orellia
Unknown Affiliation

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

Found 2 Documents
Search

Penerapan Audit Sistem Informasi Pendaftaran Siswa Menggunakan Cobit 4.1 Puteri Diyana; Richa Orellia; Arisma Yulistiani
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 4 (2024): Juli : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i4.95

Abstract

The registration system at BLK Surakarta appears to be experiencing data redundancy which needs to be addressed through in-depth analysis. The student registration process is integrated into the system, but there are still deficiencies in data management which results in frequent data duplication or errors. This research uses Cobit 4.1 as a framework for auditing the registration system at BLK Surakarta, with a focus on the Delivery and Support subdomain (DS 10 and DS11). The main objective is to assess the maturity level of the IT processes implemented at BLK Surakarta and provide recommendations for improvement. The research results show the need for BLK Surakarta to carry out regular system performance evaluations, involving parties responsible for identifying and overcoming problems that arise, in order to ensure optimal system conditions. Evaluation in Domain 10 Delivery & Support shows a current maturity level of 3.27, while in Domain 11 Delivery & Support, the maturity level is 3.31. However, it was found that the process of managing payment data for new student registration was less than optimal due to limited tools available.
Korelasi Perilaku Siswa dengan Tingkat Prestasi Siswa Menggunakan Metode Apriori Richa Orellia; Akim M.H. Pardede; Imeldawaty Gultom
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : 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.v2i4.337

Abstract

Student behavior is the actions of students which are influenced by their attitudes and responsibilities at school. Student behavior is a very important factor in determining student achievement in learning. Students who have personalities that improve skills, knowledge, attitudes, habits, understanding, skills, thinking power and other abilities will more easily increase their concentration in learning, and it will be easier to achieve the students' goals. At SDN 053960 MARYKE there are still students who do not know that student behavior greatly influences their level of achievement. Therefore, it is necessary to educate students from an early age so that students can be more responsible for the rules given by teachers at school, and students must understand that the attitude they carry out at school is assessed in improving their achievement, as well as their presence is very influential. his level of achievement at school. Therefore, there is a need for a solution to overcome the problems that exist at SDN 053960 MARYKE by utilizing data mining to collect data and then it will be processed using the a priori method with variables contained in the correlation between student behavior and student achievement levels. The a priori algorithm is able to determine min support and confidence in these variables will later show the relationship between student behavior and student achievement levels, so that researchers will get the best best rules and be able to produce the latest information..