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SISTEM INFOMASI SELEKSI BERKAS LAMARAN CALON GURU SECARA ONLINE PADA SMA LTI INDO GLOBAL MANDIRI PALEMBANG Yoga Pradifta; Terttia avini; Suryati Suryati
Jurnal Informatika Global Vol 6, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.07 KB) | DOI: 10.36982/jiig.v6i1.46

Abstract

SMA LTI Indo Global Mandiri Palembang is one of the private high school in the city of Palembang and not optimally in memenuihi information needs and service selection application file prospective teachers, as an example of selection procedures for application files prospective teachers in SMA LTI IGM Palembang still use process manual, namely in terms of the proposed selection file such applications are not integrated so if there are teachers out of SMA LTI IGM Palembang HRD will find the data the teacher that will take a long time because the data has not been well integrated teacher. and in terms of valuation results of the interview prospective teachers so that in making decisions based on an assessment of the interview test requires considerable time. So I will make the selection of an information system application file online teacher candidates at SMA LTI Indo Global Mandiri Palembang. Researcher using a methodology WDLC (Web Development Life Cycle) and tools UML (Unified Modeling Language) with the aid of use case diagrams, activity diagrams, sequence diagrams and classdiagram. This system can provide information on jobs available, the acceptance criteria, the status of the application is submitted, and a few other things. With this system is expected to facilitate both applicants / prospective teachers as well as the human resources department to manage the process of selection of information system application file online prospective teachers in SMA LTI Indo Global Mandiri Palembang
Design of an Intelligent Computing-based Information System for Automated Decision Making Febri Pratama; Terttia Avini; Irfan Saputra; Melinda Kurnia Putri; Sultan Imam Fajri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i2.2

Abstract

The rapid growth of information technology has increased the need for intelligent computing-based information systems across sectors, such as business, education, and government, to facilitate quick and accurate decision-making. Previous research primarily focused on data analysis without a seamless integration for automated decision support. This study aims to bridge this gap by designing an information system that leverages machine learning algorithms for automated decision-making. The system incorporates artificial intelligence and big data processing to provide accurate recommendations based on historical and real-time data patterns. Key processes include identifying user needs, selecting suitable algorithms, developing predictive models, and integrating them into a user-friendly, web-based platform. Results indicate that the intelligent system significantly enhances decision-making speed and accuracy, particularly in scenarios demanding real-time analysis. Tests with decision trees and neural network algorithms demonstrate the system's reliability and adaptability to various data types, supporting consistent, data-driven outcomes. This research concludes by highlighting the system's potential to address complex data challenges, enabling efficient decision-making in dynamic environments.