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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Sistem Informasi dan Sains Teknologi Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Bajsair, Faik
Unknown Affiliation
Automotive Engineering Computer Science & IT Control & Systems Engineering

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English Class Scheduling Information System at Indonesian-American Educational Institutions Bajsair, Faik; Baisyir, Fauzi; Pranoto, Gatot Tri
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 2 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i2.11304

Abstract

The purpose of the research is to create and implement a simple class scheduling application that is useful to minimize the occurrence of clashes of time, classes, levels, teachers and students at the same time. The research method used is the Descriptive Method with the type of case study research. The descriptive method is a method of researching the status of a group of people, an object, a set of conditions, a system of thought or an event in the present. From this Thesis or Final Project, the author can draw the conclusion that the English Class Scheduling Information System in Indonesian-American Educational Institutions is more effective, fast, conceptual, and up to date in data processing
DESIGNING A WEB-BASED COMPANY PROFILE AS A MARKETING FACILITY AT PT KLS Bajsair, Faik; Baisyir, Fauzi; Hardiansyah, Novi
Jurnal Sistem Informasi dan Sains Teknologi Vol 7, No 1 (2025): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v7i1.2124

Abstract

The increasing need for an effective digital presence has driven the optimization of the Company profile site at PT. KLS. This study aims to analyze and improve the usability of the website using the Research Flow method in the marketing and promotion process. The research began with a comprehensive needs analysis, followed by prototype testing, and concluded with implementation and evaluation. A user survey was conducted involving 100 respondents to assess navigation ease, design appeal, and information clarity. The results show that 82% of users find this website more effective than previous marketing methods, with a usability score of 4.3 out of 5. The main improvements include optimized responsiveness and better content organization. This study contributes to the development of a structured website design methodology that enhances user engagement and business credibility
Implementation of Artificial Intelligence (AI) Role-Based NormalizationMap of Demographic Data of Prospective Students of SD Al-Imam Islamic School (AI IS) Bajsair, Faik
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1799

Abstract

This research examines the application of rule-based Artificial Intelligence (AI) to address demographic data inconsistency among prospective students at SD Al-Imam Islamic School. Unstructured applicant data, particularly in the village/sub-district address column, often impedes efficient analysis and strategic decision-making. By implementing a dictionary-based normalization technique (normalizationMap) using Google Apps Script, this study aims to enhance data quality and minimize input inconsistencies. The role-based approach ensures that various input formats are mapped to a predefined standard. The implementation results demonstrate a significant improvement in the accuracy of the address data, directly supporting more precise demographic visualization. This practical and effective AI solution facilitates data-driven decision-making for future student enrollment strategies, showcasing a tangible contribution to data management within a limited-resource educational environment.
Co-Authors Baisyir, Fauzi Gatot Tri Pranoto Novi Hardiansyah, Novi