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All Journal Elektron Jurnal Ilmiah Jurnal Ilmiah Ecosystem Journal of Information Systems and Informatics Jurnal Teknologi Elekterika International Journal of Recent Technology and Applied Science (IJORTAS) JKMM Journal of Informatics and Computer Engineering Research
Yusri, Iin Karmila
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences

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Journal : Journal of Informatics and Computer Engineering Research

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ANALISIS POLA PENYAKIT DENGAN METODE ASSOCIATION RULE (STUDI KASUS : RSUD LABUANG BAJI) Mintu, Yupita Febriani; Yusri, Iin Karmila; Saharuna , Zawiyah
Journal of Informatics and Computer Engineering Research Vol. 1 No. 2 (2024)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v1i2.5177

Abstract

RSUD Labuang Baji has a lot of medical record data, but this medical record data has not been used optimally and has not been processed to produce useful information for Laburan Baji Hospital. In this study the data used were outpatient medical record data in 2019, by analyzing three attributes, namely disease diagnosis (ICD), gender, and age group. The method for conducting data analysis is the association rule method using the Apriori algorithm and Tools R. The results of this study are disease patterns using a minimum support value of 0.01 and a minimum confidence value of 0.6, and the disease pattern formed is an associative rule with a combination of 2k-itemset and 3k item set of 25 associative rules where the rules for this disease pattern have a lift ratio value of > 1, so this disease pattern can be used as a recommendation to improve hospital services.
INOVASI APLIKASI ASESMEN NASIONAL MENGGUNAKAN TEKNOLOGI PROGRESSIVE WEB APP Muhamad Aslan, La Ode; Yusri, Iin Karmila; Raharjo , Muh. Fajri
Journal of Informatics and Computer Engineering Research Vol. 1 No. 2 (2024)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v1i2.5185

Abstract

The national assessment is a program for assessing the quality of each school, madrasah and equality program at the primary and secondary levels. The national assessment application utilizes network connectivity to send national assessment results data from the application to the server. However, the lack of equal distribution of network facilities and infrastructure is an obstacle in the use of national assessment applications. Therefore, to build a national assessment application system that can be accessed without having to depend on network connectivity, the system will be built using the Progressive Web App (PWA) concept. Meanwhile, by using the web app manifest, the website can bring up a pop-up add to homescreen which is useful for installing the system on the user's homescreen so that applications can be accessed quickly via the homescreen icon. By using indexedDB, even though in an offline state the user can still send data and the data will be saved to indexedDB and when the network returns online the data will be automatically synchronized with the server. From the results of testing the quality of PWA using Lighthouse, there is a decrease in the performance of the progressive web app application each time the number of users is added, this indicates that the number of users can affect the performance of a computer-based national assessment application using a progressive web app.
Co-Authors Abdul Rahman Akbar, Andi Muhammad Al Imran, Andi Yusdar Andi Wahyuni Hermansyah Kasim Kasim Kasim Mintu, Yupita Febriani Muhamad Aslan, La Ode Nur, Dahliah Raharjo , Muh. Fajri Saharuna , Zawiyah Solihin, Muhammad Alif Syamsiar S Russeng TUNGADI, EDDY Utomo, Muhammad Nur Yasir Yahya Thamrin