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Reza Maulana
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saya@rezamaulana.com
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+6282330060777
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insypro@uin-alauddin.ac.id
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Jl.H.M.Yasin Limpo No. 36 Samata, Gowa, Sulawesi Selatan Building D, 4th floor
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INDONESIA
Jurnal INSYPRO (Information System and Processing)
Published by Universitas Islam Negeri Alauddin Makassar
ISSN : 2597419X     EISSN : 2579468X     DOI : https://doi.org/10.24252/insypro
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Insypro adalah jurnal yang bergerak di bidang Sistem Informasi, hadir untuk diharapkan mampu mengembangkan riset pada bidang sistem informasi di Indonesia dan dunia internasional secara umum
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 12 Documents
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Search results for , issue "Vol 8 No 1 (2023)" : 12 Documents clear
The Sistem Asistif bagi Mahasiswa Berkebutuhan Khusus dalam Media Pembelajaran LENTERA di UIN Alauddin Makassar Ridwang Nari; Nur Afif; Asep Indra Syahyadi; Wahyuddin Saputra; Muhammad Syafii Qur'ani
Jurnal INSYPRO (Information System and Processing) Vol 8 No 1 (2023)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v8i1.40768

Abstract

Education is a right of every individual. It's already listed in the laws of our country. Not only for those who have normal conditions, but also for those with limitations. The limited intellectual ability of children suffering from tuberculosis brings problems to their difficulty in attending academic lessons especially in higher education. The main problem that para-Dosen encountered was the problem of language in terms of its function as a medium of communication. Teachers have a hard time explaining to students who suffer from bullshit without using translator media to help get information from teachers to students with special needs. Nowadays, in the era of technological development and the post-Covid-19 pandemic, where learning is done online and offline, it's a new problem for students who have limited access to college lectures. Based on the existing facts, almost all colleges use online learning media, especially those that are in the shadow of the Ministry of Religion. The purpose of this research is to provide facilities in the form of an assistive system in the application of LMS LENTERA to students who suffer from bullshit in communicating and pursuing education so that education can be equal for the entire Indonesian people without discrimination of each other. The result of this research is the application of a sign language translator that is synchronized with Lentera's online learning media so that it is easier for the lecturer to communicate to students with special needs and also to students who want to convey their opinions to their lecturers
Desain Sistem Pendukung Keputusan Berbasis Decision Tree dalam Memprediksi Penyebab dan Penanganan Diskrepansi Golongan Darah ABO Cut Indriputri; Reza Maulana
Jurnal INSYPRO (Information System and Processing) Vol 8 No 1 (2023)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v8i1.41097

Abstract

Blood type discrepancies occur when there is a difference between the expected blood type examination results and the results actually found. This can be a serious problem in the context of medical care, especially if it occurs in situations requiring blood transfusions or organ transplants. Mistakes in determining a patient's or potential donor's blood type can result in dangerous transfusion reactions or organ transplant rejection. This research discusses the design of a decision tree-based decision support system in predicting the causes and treatment of ABO blood group discrepancies. The research begins by describing the discrepancies scenario that occurs and the patient's condition, then considering and predicting the possibility, type of discrepancy, causes, treatment, and the actual blood type which is outlined in a decision tree. Based on the results of the discrepancies scenario analysis, the design of a decision tree-based decision support system contains several categories of nodes, including the examination results as the root node; conditions and scenarios as decision nodes, and leaf nodes as final results which include predicted results, such as causes, actual blood type, as well as types of discrepancies and their treatment. A decision support system based on a decision tree can help predict the causes and treatment of ABO blood group discrepancies quickly and accurately. It is hoped that this research will continue to the implementation stage.

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