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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal INFOTEL
Arief Kelik Nugroho
Universitas Jenderal Soedirman, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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DESIGN AND BUILD A CAREER CENTER INFORMATION SYSTEM USING THE CODEIGNITER FRAMEWORK CASE STUDY AT UNIVERSITAS JENDERAL SOEDIRMAN USING WATERFALL METHOD Muhammad Fikri Rivaldi; Lasmedi Afuan; Arief Kelik Nugroho
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.322

Abstract

Universitas Jenderal Soedirman annually graduates thousands of qualified students. With so many graduates being issued, it is not uncommon for alumni to be confused about getting information about the world of work. Based on these problems, we need a place that accommodates all of them, namely the Career Center. Universitas Jenderal Soedirman has its own Career Center called Sudirman Career Center (SCC), which accommodating alumni to develop their careers. To do it all, SCC requires a computerized system that can help facilitate SCC in managing alumni data. This research aims to design a system that can make it easier for students, primarily alumni of Universitas Jenderal Soedirman, to find job vacancies and make it easier for agencies to manage their companies in the workforce. The data collection method used in this research is literature study, observation, and interviews, while the method for system development uses waterfall. The system design is done using UML. The programming language used is PHP combined with the Codeigniter framework and MySQL DBMS for data storage. From the research results, it can be concluded that alumni can use the existence of a web-based career center information system to obtain job vacancies information. Moreover, as a medium for the publication of each alumni's profile, it is easier for the SCC to manage alumni data and be helpful for agencies that need workers with various alumni backgrounds.
Prediction of patient length of stay using random forest method based on the Indonesian national health insurance Aini Hanifa; Yogiek Indra Kurniawan; Jati Hiliamsyah Husen; Arief Kelik Nugroho; Ipung Permadi
JURNAL INFOTEL Vol 15 No 3 (2023): August 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i3.963

Abstract

Inpatient care is the largest component of healthcare service expenditure. Healthcare management plays a role in reducing expenditure costs and improving healthcare services. Identification of factors related to patient length of stay and accurate prediction of how long patients will be hospitalized becomes important to support stakeholder decision making. In this study, the length of stay for patients using BPJS insurance services was predicted using the random forest method. An experiment has been conducted to compare different numbers of trees and candidate split attributes in a prediction model. The experimental results showed that increasing the number of trees and candidate split attributes can improve prediction performance and reduce the resulting error rate. The optimal value was found when the number of trees was 100 with the MSE/Variance value of 0.3805. The main determinant variables for predicting patient length of stay were found to be the patient's disease diagnosis, participant segment, and healthcare facility type.
Co-Authors Aini Hanifa Ipung Permadi Jati Hiliamsyah Husen Kurniawan, Yogiek Indra Lasmedi Afuan Muhammad Fikri Rivaldi