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Implementasi Audit Sistem Informasi Akademik Menggunakan Framework Cobit 5.0 Siti Mutoharoh Permata Ayunda; M. Rizki Auliansyah Ginting; Rafli Pramudia
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 4 (2024): Juli : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i4.379

Abstract

Universities that provide educational services, then siakad has a fairly important function in supporting the processing and monitoring of academic data of educational institution. In SIAKAD STMIK XYZ consists of scheduling, filling KRS, studen grades and others. Irrelevantly organized pruning of the academic information system has the potential to cause problems that can jeopardize service affordability, while a reduced level of user satisfaction has the capacity to affect the level of trust from stakeholders. Measurement is needed to evaluate and make the audit result as input to improve the management of the siakad. In this study, data collection was carried out using a survey in the form of a questionnaire. The domains used in this study are DSS AND MEA. The results of the questionnaire were collected and carried out the data analysis stage using the capability level, and gap analysis. The results found the data analysis stage using the capability level with a magnitude of 2.67 which means it is still at level 2. Thus there is a difference of 1.33 to reach the expected level 4. The results of the implementation of the STMIK XYZ academic information system with the cobit 5 framework can be a reference for knowing the weaknesses tat exist in the academic information system so that its performance becomes more optimal.
Sistem Pakar Diagnosa Penyakit Autoimun Menggunakan Metode Dempster Shafer M. Rizki Auliansyah Ginting; Akim M.H. Pardede; Melda Pita Uli Sitompul
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.222

Abstract

Autoimmune diseases, which are disorders where the immune system attacks the body’s own tissues, can affect anyone, including children and adults. These diseases often lead to serious tissue damage and physiological disturbances. Al Fuadi Binjai General Hospital, the primary healthcare facility in Binjai City, faces challenges in diagnosing autoimmune diseases in a timely manner due to limitations in time, cost, and distance. Delays in treatment can exacerbate patient conditions and slow recovery processes. The objective of this study is to develop a system that processes symptom and autoimmune disease data using the Dempster-Shafer method, which allows for uncertainty assessment in decision-making. Patient symptom data collected and analyzed using this method aims to determine the likelihood of autoimmune diseases. The developed system demonstrated high diagnostic accuracy, with the most accurate results for lupus with a confidence level of 94.40%. This result indicates that the Dempster-Shafer method can be an effective tool in accelerating the diagnostic process and improving the accuracy of autoimmune disease management at Al Fuadi Binjai General Hospital